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task_id string	query string	answer string	artifact_type string	artifact_scope string	query_cols list	artifact_reasoning_cols list	table dict	recovered_table_transform_spec dict	base_data_num_tokens int64	base_data_token_bucket int64	perturbation_note string
employee-years	For employees who have been with the company for 5 or more years, how many are above the age of 35 (>= 35)?	46	inconsistent-formatting	naive-multi-column	[ "YearsAtCompany", "Age" ]	[ "YearsAtCompany", "Age" ]	{ "headers": [ "EmployeeNumber", "YearsAtCompany", "Age", "TotalWorkingYears", "YearsInCurrentRole" ], "rows": [ [ "1", "6", "41 years", "8", "4" ], [ "2", "10", "49", "10", "7" ], [ "4", "0", "37...	{ "insert_rows": [], "overwrite_cells": [ { "col": "Age", "new_value": "41", "row": 0 }, { "col": "YearsAtCompany", "new_value": "1", "row": 41 }, { "col": "Age", "new_value": "28", "row": 51 }, { "col": "YearsAtCompany", ...	2,004	2,000	Introduced formatting inconsistencies in YearsAtCompany and Age columns
employee-years	For employees who have been with the company for 5 or more years, how many are above the age of 35 (>= 35)?	188	missingness	connected-multi-column	[ "YearsAtCompany", "Age" ]	[ "Age", "YearsAtCompany", "YearsInCurrentRole" ]	{ "headers": [ "EmployeeNumber", "YearsAtCompany", "Age", "TotalWorkingYears", "YearsInCurrentRole" ], "rows": [ [ "1", "6", "41", "8", "4" ], [ "2", "10", "49", "10", "7" ], [ "4", "0", "37", ...	{ "insert_rows": [], "overwrite_cells": [ { "col": "YearsAtCompany", "new_value": "25", "row": 18 }, { "col": "YearsAtCompany", "new_value": "7", "row": 59 }, { "col": "YearsAtCompany", "new_value": "24", "row": 187 }, { "col": ...	8,001	8,000	Introduced missingness in Age and YearsAtCompany columns. YearsAtCompany can be recovered by looking at other columns.
employee-years	For employees who have been with the company for 5 or more years, how many are above the age of 35 (>= 35)?	413	inconsistent-formatting	naive-multi-column	[ "YearsAtCompany", "Age" ]	[ "YearsAtCompany", "Age" ]	{ "headers": [ "EmployeeNumber", "YearsAtCompany", "Age", "TotalWorkingYears", "YearsInCurrentRole" ], "rows": [ [ "1", "6", "41", "8", "4" ], [ "2", "10", "49", "10", "7" ], [ "4", "0", "37", ...	{ "insert_rows": [], "overwrite_cells": [ { "col": "YearsAtCompany", "new_value": "12", "row": 44 }, { "col": "YearsAtCompany", "new_value": "4", "row": 52 }, { "col": "YearsAtCompany", "new_value": "11", "row": 75 }, { "col": "...	15,995	16,000	Introduced formatting inconsistencies in YearsAtCompany and Age columns
employee-years	For employees who have been with the company for 5 or more years, how many are above the age of 35 (>= 35)?	400	bad-values	connected-multi-column	[ "YearsAtCompany", "Age" ]	[ "YearsAtCompany", "Age" ]	{ "headers": [ "EmployeeNumber", "YearsAtCompany", "Age", "TotalWorkingYears", "YearsInCurrentRole" ], "rows": [ [ "1", "6", "41", "8", "4" ], [ "2", "10", "49", "10", "7" ], [ "4", "0", "37", ...	{ "insert_rows": [], "overwrite_cells": [ { "col": "YearsAtCompany", "new_value": "15", "row": 129 }, { "col": "YearsAtCompany", "new_value": "7", "row": 353 }, { "col": "YearsAtCompany", "new_value": "10", "row": 468 }, { "col"...	15,995	16,000	Introduced bad values in YearsAtCompany and Age columns. YearsAtCompany can be assumed to be greater than 5 because they have been in the current role for 5 years. Age cannot be recovered from the other columns.
employee-years	For employees who have been with the company for 5 or more years, how many are above the age of 35 (>= 35)?	24	inconsistent-formatting	naive-multi-column	[ "YearsAtCompany", "Age" ]	[ "YearsAtCompany", "Age" ]	{ "headers": [ "EmployeeNumber", "OverTime", "TrainingTimesLastYear", "Department", "JobSatisfaction", "Attrition", "DistanceFromHome", "WorkLifeBalance", "YearsAtCompany", "Age", "TotalWorkingYears", "YearsInCurrentRole", "Gender", "PercentSalaryHike", "Edu...	{ "insert_rows": [], "overwrite_cells": [ { "col": "YearsAtCompany", "new_value": "0", "row": 2 }, { "col": "YearsAtCompany", "new_value": "1", "row": 7 }, { "col": "YearsAtCompany", "new_value": "9", "row": 27 }, { "col": "Age"...	4,019	4,000	Introduced formatting inconsistencies in YearsAtCompany and Age columns
employee-years	For employees who have been with the company for 5 or more years, how many are above the age of 35 (>= 35)?	23	bad-values	connected-multi-column	[ "YearsAtCompany", "Age" ]	[ "YearsAtCompany", "Age" ]	{ "headers": [ "EmployeeNumber", "OverTime", "TrainingTimesLastYear", "Department", "JobSatisfaction", "Attrition", "DistanceFromHome", "WorkLifeBalance", "YearsAtCompany", "Age", "TotalWorkingYears", "YearsInCurrentRole", "Gender", "PercentSalaryHike", "Edu...	{ "insert_rows": [], "overwrite_cells": [ { "col": "YearsAtCompany", "new_value": "25", "row": 18 } ] }	4,019	4,000	Introduced bad values in YearsAtCompany and Age columns. YearsAtCompany can be assumed to be greater than 5 because they have been in the current role for 5 years. Age cannot be recovered from the other columns.
employee-years	For employees who have been with the company for 5 or more years, how many are above the age of 35 (>= 35)?	109	inconsistent-formatting	naive-multi-column	[ "YearsAtCompany", "Age" ]	[ "YearsAtCompany", "Age" ]	{ "headers": [ "EmployeeNumber", "Gender", "YearsAtCompany", "Age", "TotalWorkingYears", "YearsInCurrentRole", "Department", "PercentSalaryHike", "RelationshipSatisfaction", "Attrition" ], "rows": [ [ "1", "Female", "6", "41", "8", "4...	{ "insert_rows": [], "overwrite_cells": [ { "col": "Age", "new_value": "59", "row": 6 }, { "col": "YearsAtCompany", "new_value": "5", "row": 10 }, { "col": "Age", "new_value": "24", "row": 20 }, { "col": "YearsAtCompany", ...	8,007	8,000	Introduced formatting inconsistencies in YearsAtCompany and Age columns
employee-years	For employees who have been with the company for 5 or more years, how many are above the age of 35 (>= 35)?	106	bad-values	connected-multi-column	[ "YearsAtCompany", "Age" ]	[ "YearsAtCompany", "Age" ]	{ "headers": [ "EmployeeNumber", "Gender", "YearsAtCompany", "Age", "TotalWorkingYears", "YearsInCurrentRole", "Department", "PercentSalaryHike", "RelationshipSatisfaction", "Attrition" ], "rows": [ [ "1", "Female", "6", "41", "8", "4...	{ "insert_rows": [], "overwrite_cells": [ { "col": "YearsAtCompany", "new_value": "9", "row": 133 }, { "col": "YearsAtCompany", "new_value": "20", "row": 150 }, { "col": "YearsAtCompany", "new_value": "10", "row": 228 } ] }	8,007	8,000	Introduced bad values in YearsAtCompany and Age columns. YearsAtCompany can be assumed to be greater than 5 because they have been in the current role for 5 years. Age cannot be recovered from the other columns.
employee-years	For employees who have been with the company for 5 or more years, how many are above the age of 35 (>= 35)?	104	clean	clean	[ "YearsAtCompany", "Age" ]	[]	{ "headers": [ "EmployeeNumber", "YearsAtCompany", "Age", "TotalWorkingYears", "YearsInCurrentRole" ], "rows": [ [ "1", "6", "41", "8", "4" ], [ "2", "10", "49", "10", "7" ], [ "4", "0", "37", ...	{ "insert_rows": [], "overwrite_cells": [] }	4,004	4,000
employee-years	For employees who have been with the company for 5 or more years, how many are above the age of 35 (>= 35)?	45	bad-values	connected-multi-column	[ "YearsAtCompany", "Age" ]	[ "YearsAtCompany", "Age" ]	{ "headers": [ "EmployeeNumber", "YearsAtCompany", "Age", "TotalWorkingYears", "YearsInCurrentRole" ], "rows": [ [ "1", "6", "41", "8", "4" ], [ "2", "10", "0", "10", "7" ], [ "4", "0", "37", ...	{ "insert_rows": [], "overwrite_cells": [ { "col": "YearsAtCompany", "new_value": "25", "row": 119 } ] }	2,004	2,000	Introduced bad values in YearsAtCompany and Age columns. YearsAtCompany can be assumed to be greater than 5 because they have been in the current role for 5 years. Age cannot be recovered from the other columns.
employee-years	For employees who have been with the company for 5 or more years, how many are above the age of 35 (>= 35)?	22	clean	clean	[ "YearsAtCompany", "Age" ]	[]	{ "headers": [ "EmployeeNumber", "Gender", "YearsAtCompany", "Age", "TotalWorkingYears", "YearsInCurrentRole", "Department", "PercentSalaryHike", "RelationshipSatisfaction", "Attrition" ], "rows": [ [ "1", "Female", "6", "41", "8", "4...	{ "insert_rows": [], "overwrite_cells": [] }	2,002	2,000

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