question:Objective: I'd like your input on this table – can you summarize its contents for me? Return the final result as JSON in the format {"summary": "<summary of table>"}.Input:|Round|Date|Race|Location|50cc winner|125cc winner|250cc winner|350cc winner|500cc winner|Report||---|---|---|---|---|---|---|---|---|---||1|March 30|French Grand Prix|Paul Ricard|nan|Kent Andersson|Johnny Cecotto|Johnny Cecotto|Giacomo Agostini|Report||2|nan|Spanish Grand Prix|Jarama|Angel Nieto|Paolo Pileri|Walter Villa|Giacomo Agostini|nan|Report||3|May 4|Austrian Grand Prix|Salzburgring|nan|Paolo Pileri|nan|Hideo Kanaya|Hideo Kanaya|Report||4|May 11|German Grand Prix|Hockenheimring|Angel Nieto|Paolo Pileri|Walter Villa|Johnny Cecotto|Giacomo Agostini|Report||5|May 18|Nations Grand Prix|Imola|Angel Nieto|Paolo Pileri|Walter Villa|Johnny Cecotto|Giacomo Agostini|Report|Output:{"summary": "1975 Grand Prix motorcycle racing season"}Input:|Guest|Episode 1|Episode 10|Episode 2|Episode 3|Episode 4|Episode 5|Episode 6|Episode 7|Episode 8|Episode 9||---|---|---|---|---|---|---|---|---|---|---||Eva Gutowski|Safe|Winner|Safe|Safe|Safe|Safe|Safe|Safe|Safe|Safe||Oli White|Safe|Winner|Safe|Safe|Safe|Safe|Safe|Safe|Safe|Safe||Lele Pons|Safe|nan|Safe|Safe|Safe|Safe|Safe|Safe|Safe|Dead||Timothy DeLaGhetto|Safe|nan|Safe|Safe|Safe|Safe|Safe|Safe|Dead|nan||Matt Haag|Safe|nan|Safe|Safe|Safe|Safe|Safe|Dead|nan|nan|Return the final result as JSON in the format {"summary": "<summary of table>"}.Output:

question:# Task Description: Take a moment to examine the input table and let me know which cell or cells contain errors. If there are multiple erroneous cells, gather them in a list. If no cells are erroneous, indicate 'None'. Please only provide the erroneous cell or cells that you are highly confident about. Return the final result as JSON in the format {"erroneous_cells": "<a list of erroneous cells or None>"}. Let's think step by step and show your reasoning before showing the final result.Input:|Flag of ship|Name(s) of ship(s)|Number of Filipino seamen affected|Type of ship|Date||---|---|---|---|---||no information|Polydoros|1|Cargo ship|20 November 1994||Malta and Hong Kong|Paris and You Xin|23|no information|January 1995||Panama|Sun River II|10|Cargo ship|February 1995||Liberia|African Evergreen|7|Cargo ship|21 August 1995||Cyprus and Greece|Polydefkis and Anna Spiratou|24|no information|20 June 1986|Let's think step by step and show your reasoning before showing the final result. Return the final result as JSON in the format {"erroneous_cells": "<a list of erroneous cells or None>"}.Output:

question:Instruction: Please ascertain the corresponding columns between Table A and Table B. Indicate the correlated columns in Table B for each of the columns in Table A. In instances where a column from Table A doesn't have a corresponding column in Table B, you can represent it as None. Use pairs of column headers in a list structure, like [Table A Column, Table B Column or None], to depict each mapping. Present the mappings for all the columns in Table A and compile them into a list Return the final result as JSON in the format {"column_mappings": "<a list of column pairs>"}.[Q]:Table A:|Report|Date|Grand Prix|Round|250cc winner|Circuit|125cc winner|350cc winner|Sidecars 500cc winner|500cc winner||---|---|---|---|---|---|---|---|---|---||Report|20 July|German Grand Prix|4|Tarquinio Provini|Nürburgring Nordschleife|Carlo Ubbiali|John Surtees|Schneider / Strauß|John Surtees||Report|6 June|Isle of Man TT|1|Tarquinio Provini|Snaefell Mountain|Carlo Ubbiali|John Surtees|Schneider / Strauß|John Surtees|Table B:|Track|500cc Champion|125cc Champion|Round Number|Race Name|Race Report|Sidecars 500cc Champion|Race Date||---|---|---|---|---|---|---|---||Spa-Francorchamps|John Surtees|Alberto Gandossi|3|Belgian Grand Prix|Report|Schneider / Strauß|6 July||Hedemora Circuit|Geoff Duke|Alberto Gandossi|5|Swedish Grand Prix|Report|nan|27 July||TT Circuit Assen|John Surtees|Carlo Ubbiali|2|Dutch TT|Report|Camathias / Cecco|28 June|[A]:{"column_mappings": [["Report", "Race Report"], ["Date", "Race Date"], ["Grand Prix", "Race Name"], ["Round", "Round Number"], ["250cc winner", "None"], ["Circuit", "Track"], ["125cc winner", "125cc Champion"], ["350cc winner", "None"], ["Sidecars 500cc winner", "Sidecars 500cc Champion"], ["500cc winner", "500cc Champion"]]}[Q]:Table A:|Original MLS team|College|Player||---|---|---||New England Revolution|Akron|Scott Caldwell||Columbus Crew|Akron|Wil Trapp|Table B:|Club|League|Job|University|Athlete||---|---|---|---|---||LA Galaxy|WAC|Forward|CSU Bakersfield|Gyasi Zardes||Seattle Sounders FC|MAC|Defender|Akron|DeAndre Yedlin|[A]:{"column_mappings": [["Original MLS team", "Club"], ["College", "University"], ["Player", "Athlete"]]}[Q]:Table A:|Season|Intermediate Division One|Junior Division Two|Junior Division Three||---|---|---|---||2006–07|Battersea Ironsides|Inter Class|Supercala|Table B:|League|Lower Tier 1|Lower Tier 3|Lower Tier 4||---|---|---|---||2004–05|Battersea Ironsides Reserves|Worcester Park 'A'|Sporting Kitz Reserves||2005–06|Refectory Sports|Weston Green Sports|Inter Class 'A'|[A]:{"column_mappings": [["Season", "League"], ["Intermediate Division One", "None"], ["Junior Division Two", "None"], ["Junior Division Three", "Lower Tier 3"]]}[Q]:Table A:|RR Romaja|Country|Hangul/Chosongul|Capital|ISO|Area|Hanja|M–R Romaja||---|---|---|---|---|---|---|---||Daejeon|South Korea|대전시|Seo|KR-30|539|大田市|Taejŏn||Daegu|South Korea|대구시|Jung|KR-27|884|大邱市|Taegu|Table B:|Romanized Name|Country|Region|Capital City|Hanja|Romaja Name|Hangul/Chosongul|ISO Code||---|---|---|---|---|---|---|---||South Ch'ungch'ŏng|South Korea|Hoseo|Hongseong|忠清南道|South Chungcheong|충청남도|KR-44||North Ch'ungch'ŏng|South Korea|Hoseo|Cheongju|忠清北道|North Chungcheong|충청북도|KR-43||Pusan|South Korea|Yeongnam|Yeonje|釜山市|Busan|부산시|KR-26|Return the final result as JSON in the format {"column_mappings": "<a list of column pairs>"}.[A]:

question:Description: Please discover the matching pairs of columns between Table A and Table B. Specify the respective columns from Table B for every column present in Table A. In case a Table A column has no corresponding match in Table B, you are allowed to assign it as None. Express each column association using a pair of headers within a list, such as [Table A Column, Table B Column or None]. Provide the complete set of mappings for Table A columns, and then provide them all in the form of a list Return the final result as JSON in the format {"column_mappings": "<a list of column pairs>"}.In:Table A:|City|County|School Type|Mascot|School Name||---|---|---|---|---||Campbell|Dunklin|Public|Camels|Campbell||Gideon|New Madrid|Public|Bulldogs|Gideon|Table B:|Region|Type|School||---|---|---||Pemiscot|Public|Cooter||Pemiscot|Public|Delta||Dunklin|Public|Clarkton|Out:{"column_mappings": [["City", "None"], ["County", "Region"], ["School Type", "Type"], ["Mascot", "None"], ["School Name", "School"]]}In:Table A:|Men(Time)|Men(Nationality)|Women(Time)|Women(Winner)|Women(Nationality)||---|---|---|---|---||1:52.39|Australia|2:04.75|Melissa Ingram|New Zealand||1:52.61|Japan|2:04.93|Melissa Ingram|New Zealand|Table B:|Country Represented|Male Time|Male Athlete|Champion|Female Athlete|Country Represented.1|Female Time||---|---|---|---|---|---|---||New Zealand|1:52.31|Ashley Delaney|Singapore|Melissa Ingram|Australia|2:05.63||New Zealand|1:51.82|George Du Rand|Durban|Melissa Ingram|South Africa|2:04.98||Colombia|1:54.11|Randall Bal|Belo Horizonte|Carolina Colorado|United States|2:09.12|Out:{"column_mappings": [["Men(Time)", "Male Time"], ["Men(Nationality)", "Country Represented"], ["Women(Time)", "Female Time"], ["Women(Winner)", "Female Athlete"], ["Women(Nationality)", "Country Represented"]]}In:Table A:|Series 1|Series 3|Series 4|Character||---|---|---|---||Hugh Laurie|Hugh Laurie|Hugh Laurie|Bertie Wooster||Mary Wimbush|Mary Wimbush|Elizabeth Spriggs|Aunt Agatha|Table B:|Performance 3|Performance 1|Role||---|---|---||Stephen Fry|Stephen Fry|Jeeves||Elizabeth Morton|Francesca Folan|Madeline Bassett||John Woodnutt|John Woodnutt|Sir Watkyn Bassett|Return the final result as JSON in the format {"column_mappings": "<a list of column pairs>"}.Out:

question:Objective: Take a look at the table of inputs and outputs in two columns. Analyze the patterns based on the initial rows and compute the output value for the last row labeled as '[Output Value].' Provide only the output value and do not include any other data. Return the final result as JSON in the format {"output_value": "<output value transformed from the input value>"}.Question:|Input|Output||---|---||1978/79|1978||1979/80|1979||1980/81|1980||1987/88|1987||1988/89|1988||1989/90|1989||1990/91|1990||1992/93|1992||1993/94|1993||1994/95|[Output Value]|Return the final result as JSON in the format {"output_value": "<output value transformed from the input value>"}.Answer:

question:Task: Could you switch the position of column "Built / Established" with column "Location" in the table? After the swap, please return the table.## Input:|Ref#|Year added|Built / Established|Location|Region/state|Country||---|---|---|---|---|---||1|1973.0|1887|San Francisco|California|United States||2|1973.0|1894|Boston|Massachusetts|United States||3|1974.0|1914|New Orleans|Louisiana|United States||4|1975.0|1774|Kittery|Maine|United States||5|1975.0|1871|Cohoes|New York|United States|## Output: