MMTU-benchmark/MMTU huggingface dataset:
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
US Size 14W 16W 18W 20W 22W 24W 26W       
UK/AU Size 18 20 22 24 26 28 30       
Europe Size 44 46 48 50 52 54 56       
 inch cm inch cm inch cm inch cm inch cm inch cm inch cm
Bust 41 104 43 109 45 114 47 119 49 124 51 130 53 135
Waist 34 86 36.25 92 38.5 98 40.75 104 43 109 45.25 115 47.5 121
Hips 43.5 110 45.5 116 47.5 121 49.5 126 51.5 131 53.5 136 55.5 141



TEGRA_table_txt_file: table_7506.txt
TEGRA_TABLE_TEXT: US Size 14W 16W 18W 20W 22W 24W 26W       
UK/AU Size 18 20 22 24 26 28 30       
Europe Size 44 46 48 50 52 54 56       
 inch cm inch cm inch cm inch cm inch cm inch cm inch cm
Bust 41 104 43 109 45 114 47 119 49 124 51 130 53 135
Waist 34 86 36.25 92 38.5 98 40.75 104 43 109 45.25 115 47.5 121
Hips 43.5 110 45.5 116 47.5 121 49.5 126 51.5 131 53.5 136 55.5 141
label: US Size||14W||16W||18W||20W||22W||24W||26W||||||||||||||
UK/AU Size||18||20||22||24||26||28||30||||||||||||||
Europe Size||44||46||48||50||52||54||56||||||||||||||
||inch||cm||inch||cm||inch||cm||inch||cm||inch||cm||inch||cm||inch||cm
Bust||41||104||43||109||45||114||47||119||49||124||51||130||53||135
Waist||34||86||36.25||92||38.5||98||40.75||104||43||109||45.25||115||47.5||121
Hips||43.5||110||45.5||116||47.5||121||49.5||126||51.5||131||53.5||136||55.5||141
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
2012 $82,599 $21,164(%26) $49,620(%60)
2010 $32,144 $6,150(%19) $15,854(%49)
2008 $70,392 $7,190(%10) $54,090(%77)
2006 $32,085 $19,865(%62) $3,400(%11)
2004 $69,119 $45,456(%66) $16,908(%24)
2002 $10,215 $500(%5) $750(%7)



TEGRA_table_txt_file: table_5410.txt
TEGRA_TABLE_TEXT: 2012 $82,599 $21,164(%26) $49,620(%60)
2010 $32,144 $6,150(%19) $15,854(%49)
2008 $70,392 $7,190(%10) $54,090(%77)
2006 $32,085 $19,865(%62) $3,400(%11)
2004 $69,119 $45,456(%66) $16,908(%24)
2002 $10,215 $500(%5) $750(%7)
label: 2012||$82,599||$21,164(%26)||$49,620(%60)
2010||$32,144||$6,150(%19)||$15,854(%49)
2008||$70,392||$7,190(%10)||$54,090(%77)
2006||$32,085||$19,865(%62)||$3,400(%11)
2004||$69,119||$45,456(%66)||$16,908(%24)
2002||$10,215||$500(%5)||$750(%7)
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
Printable Pass Seattle, WA AMC Stubs 11 days ago
Gofobo Code Seattle, WA Regal Crown Club 12 days ago
Gofobo Code Lakewood, WA Regal Crown Club 12 days ago
Gofobo Code Lacey, WA Regal Crown Club 12 days ago
Gofobo Code Issaquah, WA Regal Crown Club 12 days ago
Gofobo - Private Screening Issaquah, WA Gofobo 14 days ago
Gofobo - Private Screening Lakewood, WA Gofobo 14 days ago
Gofobo - Private Screening Lacey, WA Gofobo 14 days ago



TEGRA_table_txt_file: table_7157.txt
TEGRA_TABLE_TEXT: Printable Pass Seattle, WA AMC Stubs 11 days ago
Gofobo Code Seattle, WA Regal Crown Club 12 days ago
Gofobo Code Lakewood, WA Regal Crown Club 12 days ago
Gofobo Code Lacey, WA Regal Crown Club 12 days ago
Gofobo Code Issaquah, WA Regal Crown Club 12 days ago
Gofobo - Private Screening Issaquah, WA Gofobo 14 days ago
Gofobo - Private Screening Lakewood, WA Gofobo 14 days ago
Gofobo - Private Screening Lacey, WA Gofobo 14 days ago
label: Printable Pass||Seattle, WA||AMC Stubs||11 days ago
Gofobo Code||Seattle, WA||Regal Crown Club||12 days ago
Gofobo Code||Lakewood, WA||Regal Crown Club||12 days ago
Gofobo Code||Lacey, WA||Regal Crown Club||12 days ago
Gofobo Code||Issaquah, WA||Regal Crown Club||12 days ago
Gofobo - Private Screening||Issaquah, WA||Gofobo||14 days ago
Gofobo - Private Screening||Lakewood, WA||Gofobo||14 days ago
Gofobo - Private Screening||Lacey, WA||Gofobo||14 days ago
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
Patrick Conlan 2 7 0 7 1 4 3.5
Christopher Holoman 3 34 0 34 0 30 11.3
Justin Burke 3 8 0 8 0 5 2.7
Dominique Ellis 5 14 0 14 0 6 2.8
Steven Webb 10 113 0 113 2 42 11.3
Sean Bright 5 5 3 2 0 3 0.4



TEGRA_table_txt_file: table_2947.txt
TEGRA_TABLE_TEXT: Patrick Conlan 2 7 0 7 1 4 3.5
Christopher Holoman 3 34 0 34 0 30 11.3
Justin Burke 3 8 0 8 0 5 2.7
Dominique Ellis 5 14 0 14 0 6 2.8
Steven Webb 10 113 0 113 2 42 11.3
Sean Bright 5 5 3 2 0 3 0.4
label: Patrick Conlan||2||7||0||7||1||4||3.5
Christopher Holoman||3||34||0||34||0||30||11.3
Justin Burke||3||8||0||8||0||5||2.7
Dominique Ellis||5||14||0||14||0||6||2.8
Steven Webb||10||113||0||113||2||42||11.3
Sean Bright||5||5||3||2||0||3||0.4
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
Salv&agrave; Salv&agrave; Salv&agrave; Salv&agrave;
Alpe Arcino Alpe Mara Alpe Mara Corna Mara
Alpe Mara Alpe Mara Alpe Mara Dosso Liscio
Dosso Bruciato Dosso Bruciato Dosso Bruciato Alpe Mara
Alpe Mara Panorama dal Dosso Liscio Dosso Liscio Dosso Liscio
Alpe Rogneda Alpe Rogneda Alpe Rogneda Alpe Rogneda
Alpe Rogneda Dosso Liscio Dosso Liscio Alpe Mara
Dosso Liscio Alpe Mara Alpe Mara Alpe Mara



TEGRA_table_txt_file: table_6212.txt
TEGRA_TABLE_TEXT: Salv&agrave; Salv&agrave; Salv&agrave; Salv&agrave;
Alpe Arcino Alpe Mara Alpe Mara Corna Mara
Alpe Mara Alpe Mara Alpe Mara Dosso Liscio
Dosso Bruciato Dosso Bruciato Dosso Bruciato Alpe Mara
Alpe Mara Panorama dal Dosso Liscio Dosso Liscio Dosso Liscio
Alpe Rogneda Alpe Rogneda Alpe Rogneda Alpe Rogneda
Alpe Rogneda Dosso Liscio Dosso Liscio Alpe Mara
Dosso Liscio Alpe Mara Alpe Mara Alpe Mara
label: Salv&agrave;||Salv&agrave;||Salv&agrave;||Salv&agrave;
Alpe Arcino||Alpe Mara||Alpe Mara||Corna Mara
Alpe Mara||Alpe Mara||Alpe Mara||Dosso Liscio
Dosso Bruciato||Dosso Bruciato||Dosso Bruciato||Alpe Mara
Alpe Mara||Panorama dal Dosso Liscio||Dosso Liscio||Dosso Liscio
Alpe Rogneda||Alpe Rogneda||Alpe Rogneda||Alpe Rogneda
Alpe Rogneda||Dosso Liscio||Dosso Liscio||Alpe Mara
Dosso Liscio||Alpe Mara||Alpe Mara||Alpe Mara
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
DELETE Yes Yes No No
EXECUTE No No No Yes
INDEX YesFoot 2 No No No
INSERT Yes Yes No No
REFERENCES YesFootref 2 No No No
SELECT Yes YesFoot 3 Yes No



TEGRA_table_txt_file: table_9209.txt
TEGRA_TABLE_TEXT: DELETE Yes Yes No No
EXECUTE No No No Yes
INDEX YesFoot 2 No No No
INSERT Yes Yes No No
REFERENCES YesFootref 2 No No No
SELECT Yes YesFoot 3 Yes No
label: DELETE||Yes||Yes||No||No
EXECUTE||No||No||No||Yes
INDEX||YesFoot 2||No||No||No
INSERT||Yes||Yes||No||No
REFERENCES||YesFootref 2||No||No||No
SELECT||Yes||YesFoot 3||Yes||No
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
2 2 25  Beradze Irakli 2319 GEO 6.0 w 1 0.81 0.19 10 1.90
3 1 19 FM Studer Noel 2341 SUI 5.5 s 1 0.78 0.22 10 2.20
4 1 14 FM Sanzhaev Darsen 2381 RUS 6.0 w 1 0.74 0.26 10 2.60
5 1 9 IM Pardo Simon David 2447 ESP 6.0 s 0 0.66 -0.66 10 -6.60
6 2 21  Doros Radu-Marian 2334 ROU 5.0 w 1 0.79 0.21 10 2.10
7 1 37  Mikaelyan Arman 2257 ARM 6.0 s 1 0.86 0.14 10 1.40
8 1 3 GM Grigoryan Karen H. 2563 ARM 6.5 w 1 0.50 0.50 10 5.00



TEGRA_table_txt_file: table_8361.txt
TEGRA_TABLE_TEXT: 2 2 25  Beradze Irakli 2319 GEO 6.0 w 1 0.81 0.19 10 1.90
3 1 19 FM Studer Noel 2341 SUI 5.5 s 1 0.78 0.22 10 2.20
4 1 14 FM Sanzhaev Darsen 2381 RUS 6.0 w 1 0.74 0.26 10 2.60
5 1 9 IM Pardo Simon David 2447 ESP 6.0 s 0 0.66 -0.66 10 -6.60
6 2 21  Doros Radu-Marian 2334 ROU 5.0 w 1 0.79 0.21 10 2.10
7 1 37  Mikaelyan Arman 2257 ARM 6.0 s 1 0.86 0.14 10 1.40
8 1 3 GM Grigoryan Karen H. 2563 ARM 6.5 w 1 0.50 0.50 10 5.00
label: 2||2||25||||Beradze Irakli||2319||GEO||6.0||w 1||0.81||0.19||10||1.90
3||1||19||FM||Studer Noel||2341||SUI||5.5||s 1||0.78||0.22||10||2.20
4||1||14||FM||Sanzhaev Darsen||2381||RUS||6.0||w 1||0.74||0.26||10||2.60
5||1||9||IM||Pardo Simon David||2447||ESP||6.0||s 0||0.66||-0.66||10||-6.60
6||2||21||||Doros Radu-Marian||2334||ROU||5.0||w 1||0.79||0.21||10||2.10
7||1||37||||Mikaelyan Arman||2257||ARM||6.0||s 1||0.86||0.14||10||1.40
8||1||3||GM||Grigoryan Karen H.||2563||ARM||6.5||w 1||0.50||0.50||10||5.00
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
Activity hmmol/kg >=100 195
H2SO4 % <=0.20 0.15
Moisture % <=12.0 9.8
Mesh(75umscreen) % >=90 95
rate offiltration ml/min >=4.0 5.0
Bul density g/ml 0.7-1.1 0.8
PB % <=0.005 <0.002



TEGRA_table_txt_file: table_5973.txt
TEGRA_TABLE_TEXT: Activity hmmol/kg >=100 195
H2SO4 % <=0.20 0.15
Moisture % <=12.0 9.8
Mesh(75umscreen) % >=90 95
rate offiltration ml/min >=4.0 5.0
Bul density g/ml 0.7-1.1 0.8
PB % <=0.005 <0.002
label: Activity||hmmol/kg||>=100||195
H2SO4||%||<=0.20||0.15
Moisture||%||<=12.0||9.8
Mesh(75umscreen)||%||>=90||95
rate offiltration||ml/min||>=4.0||5.0
Bul density||g/ml||0.7-1.1||0.8
PB||%||<=0.005||<0.002
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
Year Team G AB R H HR RBI BB SO SB CS OBP SLG AVG
2002 MIN 10 32 5 11 1 6 2 4 0 1 .371 .500 .344
2003 MIN 4 13 1 3 1 1 2 0 0 0 .333 .462 .231
2005 CHW 12 42 9 11 3 9 4 8 2 1 .340 .571 .262
2008 CHW 4 13 1 5 0 1 2 1 0 1 .500 .462 .385



TEGRA_table_txt_file: table_4600.txt
TEGRA_TABLE_TEXT: Year Team G AB R H HR RBI BB SO SB CS OBP SLG AVG
2002 MIN 10 32 5 11 1 6 2 4 0 1 .371 .500 .344
2003 MIN 4 13 1 3 1 1 2 0 0 0 .333 .462 .231
2005 CHW 12 42 9 11 3 9 4 8 2 1 .340 .571 .262
2008 CHW 4 13 1 5 0 1 2 1 0 1 .500 .462 .385
label: Year||Team||G||AB||R||H||HR||RBI||BB||SO||SB||CS||OBP||SLG||AVG
2002||MIN||10||32||5||11||1||6||2||4||0||1||.371||.500||.344
2003||MIN||4||13||1||3||1||1||2||0||0||0||.333||.462||.231
2005||CHW||12||42||9||11||3||9||4||8||2||1||.340||.571||.262
2008||CHW||4||13||1||5||0||1||2||1||0||1||.500||.462||.385
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
DF Zhang Enhua (3) Dalian Wanda China PR
DF Li Weifeng (1) Shenzhen Ping'an China PR
DF Xie Feng (2) Shenzhen Ping'an China PR
DF Cheng Gang (1) Qingdao Hainiu China PR
MF Li Tie (1) Liaoning Fushun China PR
MF Ma Mingyu (3) Sichuan Quanxing China PR
MF Zhang Xiaorui (1) Tianjin Teda China PR
MF Li Xiaopeng (1) Shandong Taishan China PR
FW Su Maozhen (1) Shandong Taishan China PR



TEGRA_table_txt_file: table_3829.txt
TEGRA_TABLE_TEXT: DF Zhang Enhua (3) Dalian Wanda China PR
DF Li Weifeng (1) Shenzhen Ping'an China PR
DF Xie Feng (2) Shenzhen Ping'an China PR
DF Cheng Gang (1) Qingdao Hainiu China PR
MF Li Tie (1) Liaoning Fushun China PR
MF Ma Mingyu (3) Sichuan Quanxing China PR
MF Zhang Xiaorui (1) Tianjin Teda China PR
MF Li Xiaopeng (1) Shandong Taishan China PR
FW Su Maozhen (1) Shandong Taishan China PR
label: DF||Zhang Enhua (3)||Dalian Wanda||China PR
DF||Li Weifeng (1)||Shenzhen Ping'an||China PR
DF||Xie Feng (2)||Shenzhen Ping'an||China PR
DF||Cheng Gang (1)||Qingdao Hainiu||China PR
MF||Li Tie (1)||Liaoning Fushun||China PR
MF||Ma Mingyu (3)||Sichuan Quanxing||China PR
MF||Zhang Xiaorui (1)||Tianjin Teda||China PR
MF||Li Xiaopeng (1)||Shandong Taishan||China PR
FW||Su Maozhen (1)||Shandong Taishan||China PR
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
2 Héctor Reynoso* 2001-Presente 361
3 Alberto Medina 2000-2012 323
4 Fernando Quirarte 1975-1985 1986-1987 300
5 Omar Bravo 2001-2008 2009-2010 298
6 Benjamín Galindo 1986-1994 296
7 Joel Sánchez 1991-1999 2001-2003 282



TEGRA_table_txt_file: table_2008.txt
TEGRA_TABLE_TEXT: 2 Héctor Reynoso* 2001-Presente 361
3 Alberto Medina 2000-2012 323
4 Fernando Quirarte 1975-1985 1986-1987 300
5 Omar Bravo 2001-2008 2009-2010 298
6 Benjamín Galindo 1986-1994 296
7 Joel Sánchez 1991-1999 2001-2003 282
label: 2||Héctor Reynoso*||2001-Presente||361
3||Alberto Medina||2000-2012||323
4||Fernando Quirarte||1975-1985 1986-1987||300
5||Omar Bravo||2001-2008 2009-2010||298
6||Benjamín Galindo||1986-1994||296
7||Joel Sánchez||1991-1999 2001-2003||282
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
ARTD:IN AARTI DRUGS LTD Natl India IN
ARTO:IN AARTI INDUSTRIES LIMITED Natl India IN
ARV:IN AARVEE DENIMS & EXPORTS LTD Natl India IN
ARGS:IN AARYA GLOBAL SHARES & SECURI Mumbai IN
AIN:AV AI AIRPORTS INTL LTD-CERT Vienna AT
QDA:GR AI AIRPORTS INTL LTD-CERT Berlin DE
AYR:US AIRCASTLE LTD New York US
G7V:GR AIRCASTLE LTD Berlin DE
AIRSERVI:NL AIRLINE SERVICES AND LOGISTI Lagos NG
4609:TT AIRLUX ELECTRICAL CO LTD Taiwan TW
1626:TT AIRMATE CAYMAN INTERNATIONAL Taiwan TW
060900:KS AIRPARK CO LTD KOSDAQ KR
ARPT:IT AIRPORT CITY LTD Tel Aviv IL
8864:JP AIRPORT FACILITIES CO LTD Tokyo JP
6291:JP AIRTECH JAPAN LTD Tokyo JP
AIRW:US AIRWARE LABS CORP OTC BB US
ALARAB:BD AL-ARAFAH ISLAMI BANK LTD Dhaka BD
AAIN:JR AL-NISR AL-ARABI INSURANCE Amman JO



TEGRA_table_txt_file: table_8837.txt
TEGRA_TABLE_TEXT: ARTD:IN AARTI DRUGS LTD Natl India IN
ARTO:IN AARTI INDUSTRIES LIMITED Natl India IN
ARV:IN AARVEE DENIMS & EXPORTS LTD Natl India IN
ARGS:IN AARYA GLOBAL SHARES & SECURI Mumbai IN
AIN:AV AI AIRPORTS INTL LTD-CERT Vienna AT
QDA:GR AI AIRPORTS INTL LTD-CERT Berlin DE
AYR:US AIRCASTLE LTD New York US
G7V:GR AIRCASTLE LTD Berlin DE
AIRSERVI:NL AIRLINE SERVICES AND LOGISTI Lagos NG
4609:TT AIRLUX ELECTRICAL CO LTD Taiwan TW
1626:TT AIRMATE CAYMAN INTERNATIONAL Taiwan TW
060900:KS AIRPARK CO LTD KOSDAQ KR
ARPT:IT AIRPORT CITY LTD Tel Aviv IL
8864:JP AIRPORT FACILITIES CO LTD Tokyo JP
6291:JP AIRTECH JAPAN LTD Tokyo JP
AIRW:US AIRWARE LABS CORP OTC BB US
ALARAB:BD AL-ARAFAH ISLAMI BANK LTD Dhaka BD
AAIN:JR AL-NISR AL-ARABI INSURANCE Amman JO
label: ARTD:IN||AARTI DRUGS LTD||Natl India||IN
ARTO:IN||AARTI INDUSTRIES LIMITED||Natl India||IN
ARV:IN||AARVEE DENIMS & EXPORTS LTD||Natl India||IN
ARGS:IN||AARYA GLOBAL SHARES & SECURI||Mumbai||IN
AIN:AV||AI AIRPORTS INTL LTD-CERT||Vienna||AT
QDA:GR||AI AIRPORTS INTL LTD-CERT||Berlin||DE
AYR:US||AIRCASTLE LTD||New York||US
G7V:GR||AIRCASTLE LTD||Berlin||DE
AIRSERVI:NL||AIRLINE SERVICES AND LOGISTI||Lagos||NG
4609:TT||AIRLUX ELECTRICAL CO LTD||Taiwan||TW
1626:TT||AIRMATE CAYMAN INTERNATIONAL||Taiwan||TW
060900:KS||AIRPARK CO LTD||KOSDAQ||KR
ARPT:IT||AIRPORT CITY LTD||Tel Aviv||IL
8864:JP||AIRPORT FACILITIES CO LTD||Tokyo||JP
6291:JP||AIRTECH JAPAN LTD||Tokyo||JP
AIRW:US||AIRWARE LABS CORP||OTC BB||US
ALARAB:BD||AL-ARAFAH ISLAMI BANK LTD||Dhaka||BD
AAIN:JR||AL-NISR AL-ARABI INSURANCE||Amman||JO
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
12 569,78 EUR 5.75 % 9.9 %
18 388,74 EUR 6.90 % 9.9 %
24 298,33 EUR 6.54 % 9.9 %
30 244,15 EUR 7.09 % 9.9 %
36 208,11 EUR 7.46 % 9.9 %
42 182,42 EUR 7.73 % 9.9 %
48 163,20 EUR 7.93 % 9.9 %
54 148,30 EUR 8.08 % 9.9 %
60 136,41 EUR 8.21 % 9.9 %
66 126,73 EUR 8.31 % 9.9 %



TEGRA_table_txt_file: table_4642.txt
TEGRA_TABLE_TEXT: 12 569,78 EUR 5.75 % 9.9 %
18 388,74 EUR 6.90 % 9.9 %
24 298,33 EUR 6.54 % 9.9 %
30 244,15 EUR 7.09 % 9.9 %
36 208,11 EUR 7.46 % 9.9 %
42 182,42 EUR 7.73 % 9.9 %
48 163,20 EUR 7.93 % 9.9 %
54 148,30 EUR 8.08 % 9.9 %
60 136,41 EUR 8.21 % 9.9 %
66 126,73 EUR 8.31 % 9.9 %
label: 12||569,78 EUR||5.75 %||9.9 %
18||388,74 EUR||6.90 %||9.9 %
24||298,33 EUR||6.54 %||9.9 %
30||244,15 EUR||7.09 %||9.9 %
36||208,11 EUR||7.46 %||9.9 %
42||182,42 EUR||7.73 %||9.9 %
48||163,20 EUR||7.93 %||9.9 %
54||148,30 EUR||8.08 %||9.9 %
60||136,41 EUR||8.21 %||9.9 %
66||126,73 EUR||8.31 %||9.9 %
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
jm1029 (0) 1834 16/10/13 16:19:56
jm1029 (0) 1799 16/10/13 16:19:42
has111 (63) 1798 16/10/13 16:19:21
jake2345 (7) 1797 15/10/13 16:36:20
JOEPLUMB9 (0) 752 15/10/13 07:57:58
Zhalia (0) 751 14/10/13 19:32:02
SUPERFOOTYBOY (11) 750 13/10/13 21:57:12
hacker52 (11) 200 13/10/13 17:49:11
bunbun0706 (5) 101 13/10/13 17:47:16
1dgirlzayn (0) 100 13/10/13 17:46:26



TEGRA_table_txt_file: table_7875.txt
TEGRA_TABLE_TEXT: jm1029 (0) 1834 16/10/13 16:19:56
jm1029 (0) 1799 16/10/13 16:19:42
has111 (63) 1798 16/10/13 16:19:21
jake2345 (7) 1797 15/10/13 16:36:20
JOEPLUMB9 (0) 752 15/10/13 07:57:58
Zhalia (0) 751 14/10/13 19:32:02
SUPERFOOTYBOY (11) 750 13/10/13 21:57:12
hacker52 (11) 200 13/10/13 17:49:11
bunbun0706 (5) 101 13/10/13 17:47:16
1dgirlzayn (0) 100 13/10/13 17:46:26
label: jm1029 (0)||1834||16/10/13 16:19:56
jm1029 (0)||1799||16/10/13 16:19:42
has111 (63)||1798||16/10/13 16:19:21
jake2345 (7)||1797||15/10/13 16:36:20
JOEPLUMB9 (0)||752||15/10/13 07:57:58
Zhalia (0)||751||14/10/13 19:32:02
SUPERFOOTYBOY (11)||750||13/10/13 21:57:12
hacker52 (11)||200||13/10/13 17:49:11
bunbun0706 (5)||101||13/10/13 17:47:16
1dgirlzayn (0)||100||13/10/13 17:46:26
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
CAD 001 5,414685 5,430978 5,447271
CZK 001 0,295577 0,296466 0,297355
DKK 001 1,017935 1,020998 1,024061
HUF 100 2,565631 2,573351 2,581071
JPY 100 5,704764 5,721930 5,739096
NOK 001 0,932679 0,935485 0,938291
SEK 001 0,862203 0,864797 0,867391
CHF 001 6,151237 6,169746 6,188255
GBP 001 8,999018 9,026096 9,053174
USD 001 5,611583 5,628468 5,645353
EUR 001 7,592471 7,615317 7,638163



TEGRA_table_txt_file: table_3107.txt
TEGRA_TABLE_TEXT: CAD 001 5,414685 5,430978 5,447271
CZK 001 0,295577 0,296466 0,297355
DKK 001 1,017935 1,020998 1,024061
HUF 100 2,565631 2,573351 2,581071
JPY 100 5,704764 5,721930 5,739096
NOK 001 0,932679 0,935485 0,938291
SEK 001 0,862203 0,864797 0,867391
CHF 001 6,151237 6,169746 6,188255
GBP 001 8,999018 9,026096 9,053174
USD 001 5,611583 5,628468 5,645353
EUR 001 7,592471 7,615317 7,638163
label: CAD||001||5,414685||5,430978||5,447271
CZK||001||0,295577||0,296466||0,297355
DKK||001||1,017935||1,020998||1,024061
HUF||100||2,565631||2,573351||2,581071
JPY||100||5,704764||5,721930||5,739096
NOK||001||0,932679||0,935485||0,938291
SEK||001||0,862203||0,864797||0,867391
CHF||001||6,151237||6,169746||6,188255
GBP||001||8,999018||9,026096||9,053174
USD||001||5,611583||5,628468||5,645353
EUR||001||7,592471||7,615317||7,638163
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
D. Krejci 7 1 5 3 6
R. Smith 7 1 4 4 5
P. Bergeron 7 2 2 3 4
C. Kelly 7 3 0 2 3
L. Eriksson 7 2 1 3 3
Z. Chara 7 1 2 0 3
T. Krug 7 1 2 3 3
J. Boychuk 7 0 3 5 3



TEGRA_table_txt_file: table_7493.txt
TEGRA_TABLE_TEXT: D. Krejci 7 1 5 3 6
R. Smith 7 1 4 4 5
P. Bergeron 7 2 2 3 4
C. Kelly 7 3 0 2 3
L. Eriksson 7 2 1 3 3
Z. Chara 7 1 2 0 3
T. Krug 7 1 2 3 3
J. Boychuk 7 0 3 5 3
label: D. Krejci||7||1||5||3||6
R. Smith||7||1||4||4||5
P. Bergeron||7||2||2||3||4
C. Kelly||7||3||0||2||3
L. Eriksson||7||2||1||3||3
Z. Chara||7||1||2||0||3
T. Krug||7||1||2||3||3
J. Boychuk||7||0||3||5||3
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
U 1000 R2V 1 x 2.5 7 55
U 1000 R2V 1 x 4 7.6 70
U 1000 R2V 1 x 6 8.2 95
U 1000 R2V 1 x 10 9.2 135
U 1000 R2V 1 x 16 10.5 195
U 1000 R2V 1 x 25 12.5 305
U 1000 R2V 1 x 35 13.5 400
U 1000 R2V 1 x 50 15 530
U 1000 R2V 1 x 70 17 730
U 1000 R2V 1 x 95 19 1000
U 1000 R2V 1 x 120 21 1260
U 1000 R2V 1 x 150 23 1545
U 1000 R2V 1 x 185 25.5 1925
U 1000 R2V 1 x 240 28.5 2645
U 1000 R2V 1 x 300 31 3075



TEGRA_table_txt_file: table_8155.txt
TEGRA_TABLE_TEXT: U 1000 R2V 1 x 2.5 7 55
U 1000 R2V 1 x 4 7.6 70
U 1000 R2V 1 x 6 8.2 95
U 1000 R2V 1 x 10 9.2 135
U 1000 R2V 1 x 16 10.5 195
U 1000 R2V 1 x 25 12.5 305
U 1000 R2V 1 x 35 13.5 400
U 1000 R2V 1 x 50 15 530
U 1000 R2V 1 x 70 17 730
U 1000 R2V 1 x 95 19 1000
U 1000 R2V 1 x 120 21 1260
U 1000 R2V 1 x 150 23 1545
U 1000 R2V 1 x 185 25.5 1925
U 1000 R2V 1 x 240 28.5 2645
U 1000 R2V 1 x 300 31 3075
label: U 1000 R2V||1 x 2.5||7||55
U 1000 R2V||1 x 4||7.6||70
U 1000 R2V||1 x 6||8.2||95
U 1000 R2V||1 x 10||9.2||135
U 1000 R2V||1 x 16||10.5||195
U 1000 R2V||1 x 25||12.5||305
U 1000 R2V||1 x 35||13.5||400
U 1000 R2V||1 x 50||15||530
U 1000 R2V||1 x 70||17||730
U 1000 R2V||1 x 95||19||1000
U 1000 R2V||1 x 120||21||1260
U 1000 R2V||1 x 150||23||1545
U 1000 R2V||1 x 185||25.5||1925
U 1000 R2V||1 x 240||28.5||2645
U 1000 R2V||1 x 300||31||3075
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
S/16:00h. Hull City - West Ham United -
S/16:00h. Southampton - Crystal Palace -
S/16:00h. Fulham - Cardiff City -
S/16:00h. M. United - West Bromwich Albion -
S/16:00h. Aston Villa - Manchester C. -
S/18:30h. Swansea City - Arsenal -
D/14:30h. Stoke City - Norwich City -
D/17:00h. Sunderland - Liverpool -



TEGRA_table_txt_file: table_4662.txt
TEGRA_TABLE_TEXT: S/16:00h. Hull City - West Ham United -
S/16:00h. Southampton - Crystal Palace -
S/16:00h. Fulham - Cardiff City -
S/16:00h. M. United - West Bromwich Albion -
S/16:00h. Aston Villa - Manchester C. -
S/18:30h. Swansea City - Arsenal -
D/14:30h. Stoke City - Norwich City -
D/17:00h. Sunderland - Liverpool -
label: S/16:00h.||Hull City||-||West Ham United||-
S/16:00h.||Southampton||-||Crystal Palace||-
S/16:00h.||Fulham||-||Cardiff City||-
S/16:00h.||M. United||-||West Bromwich Albion||-
S/16:00h.||Aston Villa||-||Manchester C.||-
S/18:30h.||Swansea City||-||Arsenal||-
D/14:30h.||Stoke City||-||Norwich City||-
D/17:00h.||Sunderland||-||Liverpool||-
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
2 Riccardo Riccò (ITA) Saunier Duval-Scott + 4"
3 Danilo Di Luca (ITA) LPR Brakes-Ballan +21"
4 Marzio Bruseghin (ITA) Lampre +2' 00"
5 Franco Pellizotti (ITA) Liquigas +2' 05"
6 Denis Menchov (RUS) Rabobank +2' 47"
7 Emanuele Sella (ITA) CSF Group-Navigare +4' 25"
8 Jurgen Van Den Broeck (BEL) Silence-Lotto +4' 26"
9 Domenico Pozzovivo (ITA) CSF Group-Navigare +5' 25"



TEGRA_table_txt_file: table_4793.txt
TEGRA_TABLE_TEXT: 2 Riccardo Riccò (ITA) Saunier Duval-Scott + 4"
3 Danilo Di Luca (ITA) LPR Brakes-Ballan +21"
4 Marzio Bruseghin (ITA) Lampre +2' 00"
5 Franco Pellizotti (ITA) Liquigas +2' 05"
6 Denis Menchov (RUS) Rabobank +2' 47"
7 Emanuele Sella (ITA) CSF Group-Navigare +4' 25"
8 Jurgen Van Den Broeck (BEL) Silence-Lotto +4' 26"
9 Domenico Pozzovivo (ITA) CSF Group-Navigare +5' 25"
label: 2||Riccardo Riccò (ITA)||Saunier Duval-Scott||+ 4"
3||Danilo Di Luca (ITA)||LPR Brakes-Ballan||+21"
4||Marzio Bruseghin (ITA)||Lampre||+2' 00"
5||Franco Pellizotti (ITA)||Liquigas||+2' 05"
6||Denis Menchov (RUS)||Rabobank||+2' 47"
7||Emanuele Sella (ITA)||CSF Group-Navigare||+4' 25"
8||Jurgen Van Den Broeck (BEL)||Silence-Lotto||+4' 26"
9||Domenico Pozzovivo (ITA)||CSF Group-Navigare||+5' 25"
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
Mon Tue Wed Thu Fri Sat Sun
 1 2 3 4 5 6
7 8 9 10 11 12 13
14 15 16 17 18 19 20
21 22 23 24 25 26 27



TEGRA_table_txt_file: table_4012.txt
TEGRA_TABLE_TEXT: Mon Tue Wed Thu Fri Sat Sun
 1 2 3 4 5 6
7 8 9 10 11 12 13
14 15 16 17 18 19 20
21 22 23 24 25 26 27
label: Mon||Tue||Wed||Thu||Fri||Sat||Sun
||1||2||3||4||5||6
7||8||9||10||11||12||13
14||15||16||17||18||19||20
21||22||23||24||25||26||27
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
2. Pär Arvidsson SWE 2:03.14 7.
3. Aleksandr Buchenkov URS 2:03.98 10.
4. Rafael Vidal VEN 2:04.23 11.
5. Evangelos Koskinas GRE 2:06.80 17.
6. Cláudio Kestener BRA 2:08.65 20.



TEGRA_table_txt_file: table_5223.txt
TEGRA_TABLE_TEXT: 2. Pär Arvidsson SWE 2:03.14 7.
3. Aleksandr Buchenkov URS 2:03.98 10.
4. Rafael Vidal VEN 2:04.23 11.
5. Evangelos Koskinas GRE 2:06.80 17.
6. Cláudio Kestener BRA 2:08.65 20.
label: 2. Pär Arvidsson||SWE||2:03.14||7.
3. Aleksandr Buchenkov||URS||2:03.98||10.
4. Rafael Vidal||VEN||2:04.23||11.
5. Evangelos Koskinas||GRE||2:06.80||17.
6. Cláudio Kestener||BRA||2:08.65||20.
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
Tuesday 8:30AM - 7:00PM 8:30AM - 7:00PM 7:30AM - 6:00PM 7:30AM - 6:00PM
Wednesday 8:30AM - 7:00PM 8:30AM - 7:00PM 7:30AM - 6:00PM 7:30AM - 6:00PM
Thursday 8:30AM - 7:00PM 8:30AM - 7:00PM 7:30AM - 6:00PM 7:30AM - 6:00PM
Friday 8:30AM - 7:00PM 8:30AM - 7:00PM 7:30AM - 6:00PM 7:30AM - 6:00PM
Saturday 8:30AM - 7:00PM 8:30AM - 7:00PM Closed Closed



TEGRA_table_txt_file: table_4057.txt
TEGRA_TABLE_TEXT: Tuesday 8:30AM - 7:00PM 8:30AM - 7:00PM 7:30AM - 6:00PM 7:30AM - 6:00PM
Wednesday 8:30AM - 7:00PM 8:30AM - 7:00PM 7:30AM - 6:00PM 7:30AM - 6:00PM
Thursday 8:30AM - 7:00PM 8:30AM - 7:00PM 7:30AM - 6:00PM 7:30AM - 6:00PM
Friday 8:30AM - 7:00PM 8:30AM - 7:00PM 7:30AM - 6:00PM 7:30AM - 6:00PM
Saturday 8:30AM - 7:00PM 8:30AM - 7:00PM Closed Closed
label: Tuesday||8:30AM - 7:00PM||8:30AM - 7:00PM||7:30AM - 6:00PM||7:30AM - 6:00PM
Wednesday||8:30AM - 7:00PM||8:30AM - 7:00PM||7:30AM - 6:00PM||7:30AM - 6:00PM
Thursday||8:30AM - 7:00PM||8:30AM - 7:00PM||7:30AM - 6:00PM||7:30AM - 6:00PM
Friday||8:30AM - 7:00PM||8:30AM - 7:00PM||7:30AM - 6:00PM||7:30AM - 6:00PM
Saturday||8:30AM - 7:00PM||8:30AM - 7:00PM||Closed||Closed
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
Witherow, Robert M Firearms Dealer/Gunsmith Ft Collins, Colorado March 01, 2015
White, Jerrie Lee Firearms Dealer/Gunsmith Ft Collins, Colorado November 01, 2014
Brown, Wendell Ellis Firearms Dealer/Gunsmith Ft Collins, Colorado September 01, 2014
Sayers, Byron T Firearms Dealer/Gunsmith Ft Collins, Colorado July 01, 2013
American Legacy Firearms Inc Firearms Dealer/Gunsmith Ft Collins, Colorado January 01, 2014
Ft Collins Gun Room Inc Firearms Dealer/Gunsmith Ft Collins, Colorado April 01, 2013
Historical Armory Inc Firearms Dealer/Gunsmith Ft Collins, Colorado January 01, 2014
Joseph, D Craig Firearms Dealer/Gunsmith Ft Collins, Colorado June 01, 2014



TEGRA_table_txt_file: table_9232.txt
TEGRA_TABLE_TEXT: Witherow, Robert M Firearms Dealer/Gunsmith Ft Collins, Colorado March 01, 2015
White, Jerrie Lee Firearms Dealer/Gunsmith Ft Collins, Colorado November 01, 2014
Brown, Wendell Ellis Firearms Dealer/Gunsmith Ft Collins, Colorado September 01, 2014
Sayers, Byron T Firearms Dealer/Gunsmith Ft Collins, Colorado July 01, 2013
American Legacy Firearms Inc Firearms Dealer/Gunsmith Ft Collins, Colorado January 01, 2014
Ft Collins Gun Room Inc Firearms Dealer/Gunsmith Ft Collins, Colorado April 01, 2013
Historical Armory Inc Firearms Dealer/Gunsmith Ft Collins, Colorado January 01, 2014
Joseph, D Craig Firearms Dealer/Gunsmith Ft Collins, Colorado June 01, 2014
label: Witherow, Robert M||Firearms Dealer/Gunsmith||Ft Collins, Colorado||March 01, 2015
White, Jerrie Lee||Firearms Dealer/Gunsmith||Ft Collins, Colorado||November 01, 2014
Brown, Wendell Ellis||Firearms Dealer/Gunsmith||Ft Collins, Colorado||September 01, 2014
Sayers, Byron T||Firearms Dealer/Gunsmith||Ft Collins, Colorado||July 01, 2013
American Legacy Firearms Inc||Firearms Dealer/Gunsmith||Ft Collins, Colorado||January 01, 2014
Ft Collins Gun Room Inc||Firearms Dealer/Gunsmith||Ft Collins, Colorado||April 01, 2013
Historical Armory Inc||Firearms Dealer/Gunsmith||Ft Collins, Colorado||January 01, 2014
Joseph, D Craig||Firearms Dealer/Gunsmith||Ft Collins, Colorado||June 01, 2014
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
Re: Pine Hill Cemetery MCKRAUT36 29 Sep 2006 12:50PM GMT
Re: Pine Hill Cemetery Linda 1 Oct 2006 1:53AM GMT
Re: Pine Hill Cemetery MCKRAUT36 3 Oct 2006 8:50AM GMT
Re: Pine Hill Cemetery ALITALIA 21 Jan 2008 5:11AM GMT
Re: Pine Hill Cemetery gary742 15 Oct 2006 7:27PM GMT
Re: Pine Hill Cemetery Linda 15 Oct 2006 8:28PM GMT
Re: Pine Hill Cemetery gary742 15 Oct 2006 9:02PM GMT
Re: Pine Hill Cemetery S_BennettPerk... 18 Jun 2007 4:05AM GMT



TEGRA_table_txt_file: table_4671.txt
TEGRA_TABLE_TEXT: Re: Pine Hill Cemetery MCKRAUT36 29 Sep 2006 12:50PM GMT
Re: Pine Hill Cemetery Linda 1 Oct 2006 1:53AM GMT
Re: Pine Hill Cemetery MCKRAUT36 3 Oct 2006 8:50AM GMT
Re: Pine Hill Cemetery ALITALIA 21 Jan 2008 5:11AM GMT
Re: Pine Hill Cemetery gary742 15 Oct 2006 7:27PM GMT
Re: Pine Hill Cemetery Linda 15 Oct 2006 8:28PM GMT
Re: Pine Hill Cemetery gary742 15 Oct 2006 9:02PM GMT
Re: Pine Hill Cemetery S_BennettPerk... 18 Jun 2007 4:05AM GMT
label: Re: Pine Hill Cemetery||MCKRAUT36||29 Sep 2006 12:50PM GMT
Re: Pine Hill Cemetery||Linda||1 Oct 2006 1:53AM GMT
Re: Pine Hill Cemetery||MCKRAUT36||3 Oct 2006 8:50AM GMT
Re: Pine Hill Cemetery||ALITALIA||21 Jan 2008 5:11AM GMT
Re: Pine Hill Cemetery||gary742||15 Oct 2006 7:27PM GMT
Re: Pine Hill Cemetery||Linda||15 Oct 2006 8:28PM GMT
Re: Pine Hill Cemetery||gary742||15 Oct 2006 9:02PM GMT
Re: Pine Hill Cemetery||S_BennettPerk...||18 Jun 2007 4:05AM GMT
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
Pecan Grove Elementary Exemplary 8 3330 Old South Drive
James Bowie Middle Not Rated Not Rated 700 Plantation Drive
Travis High School Acceptable 8 11111 Harlem Road
Lamar Schools   
Frost Elementary Exemplary 10 3306 Skinner Lane
Joe Hubenak Elementary Exemplary 10 11344 Rancho Bella Pkwy
Briscoe Junior High Recognized 9 4300 FM 723



TEGRA_table_txt_file: table_21.txt
TEGRA_TABLE_TEXT: Pecan Grove Elementary Exemplary 8 3330 Old South Drive
James Bowie Middle Not Rated Not Rated 700 Plantation Drive
Travis High School Acceptable 8 11111 Harlem Road
Lamar Schools   
Frost Elementary Exemplary 10 3306 Skinner Lane
Joe Hubenak Elementary Exemplary 10 11344 Rancho Bella Pkwy
Briscoe Junior High Recognized 9 4300 FM 723
label: Pecan Grove Elementary||Exemplary||8||3330 Old South Drive
James Bowie Middle||Not Rated||Not Rated||700 Plantation Drive
Travis High School||Acceptable||8||11111 Harlem Road
Lamar Schools||||||
Frost Elementary||Exemplary||10||3306 Skinner Lane
Joe Hubenak Elementary||Exemplary||10||11344 Rancho Bella Pkwy
Briscoe Junior High||Recognized||9||4300 FM 723
Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
TEAM Competition GS SB G A SH SG FC FS YC RC
Ipswich Town LC 28 0 0 0 0 0 0 0 5 1
Ipswich Town FAC 2 0 0 0 0 0 0 0 0 0
Ipswich Town CC 3 0 0 0 0 0 0 0 0 0
Ipswich Town UEFA 3 0 0 0 0 0 0 0 0 0



TEGRA_table_txt_file: table_3808.txt
TEGRA_TABLE_TEXT: TEAM Competition GS SB G A SH SG FC FS YC RC
Ipswich Town LC 28 0 0 0 0 0 0 0 5 1
Ipswich Town FAC 2 0 0 0 0 0 0 0 0 0
Ipswich Town CC 3 0 0 0 0 0 0 0 0 0
Ipswich Town UEFA 3 0 0 0 0 0 0 0 0 0
label: TEAM||Competition||GS||SB||G||A||SH||SG||FC||FS||YC||RC
Ipswich Town||LC||28||0||0||0||0||0||0||0||5||1
Ipswich Town||FAC||2||0||0||0||0||0||0||0||0||0
Ipswich Town||CC||3||0||0||0||0||0||0||0||0||0
Ipswich Town||UEFA||3||0||0||0||0||0||0||0||0||0