db_id stringclasses 11
values | instruction stringlengths 1.63k 14k | role stringclasses 45
values | policy unknown | input stringlengths 23 477 | output stringlengths 23 2.22k | difficulty stringclasses 3
values | metadata dict |
|---|---|---|---|---|---|---|---|
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_2 | {
"Laboratory": [
"ALP",
"APTT",
"C3",
"C4",
"CPK",
"CRE",
"CRP",
"DNA-II",
"FG",
"GPT",
"HGB",
"ID",
"IGA",
"IGG",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RNP",
"SSA",
"T-CHO",
"TAT",
"TAT2",
"U-PRO",
"UA",
... | For the patient with an abnormal alkaliphophatase level, how many of them are admitted to the hospital? | SELECT COUNT(DISTINCT T1.ID)
FROM Patient AS T1
INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID
WHERE T2.ALP >= 300 AND T1.Admission = '+'; | simple | {
"gold_sql": "SELECT COUNT(DISTINCT T1.ID)\nFROM Patient AS T1\nINNER JOIN Laboratory AS T2 ON T1.ID = T2.ID\nWHERE T2.ALP >= 300 AND T1.Admission = '+';",
"permission": "allowed",
"query_columns": {
"patient": [
"Admission",
"ID"
],
"laboratory": [
"ALP",
"ID"
]
},
"m... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_2 | {
"Laboratory": [
"ALP",
"APTT",
"C3",
"C4",
"CPK",
"CRE",
"CRP",
"DNA-II",
"FG",
"GPT",
"HGB",
"ID",
"IGA",
"IGG",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RNP",
"SSA",
"T-CHO",
"TAT",
"TAT2",
"U-PRO",
"UA",
... | Among the patients followed at the outpatient clinic, how many of them have a normal level of alkaliphophatase? | SELECT COUNT(DISTINCT T1.ID)
FROM Patient AS T1
INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID
WHERE T2.ALP < 300
AND T1.Admission = '-' | moderate | {
"gold_sql": "SELECT COUNT(DISTINCT T1.ID) \nFROM Patient AS T1 \nINNER JOIN Laboratory AS T2 ON T1.ID = T2.ID \nWHERE T2.ALP < 300 \nAND T1.Admission = '-'",
"permission": "allowed",
"query_columns": {
"patient": [
"Admission",
"ID"
],
"laboratory": [
"ALP",
"ID"
]
},
... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_2 | {
"Laboratory": [
"ALP",
"APTT",
"C3",
"C4",
"CPK",
"CRE",
"CRP",
"DNA-II",
"FG",
"GPT",
"HGB",
"ID",
"IGA",
"IGG",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RNP",
"SSA",
"T-CHO",
"TAT",
"TAT2",
"U-PRO",
"UA",
... | Please list the diagnosis of the patients whose total protein is lower than normal. | Sorry, I cannot answer. | simple | {
"gold_sql": "SELECT T1.Diagnosis FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.TP < 6.0",
"permission": "denied",
"query_columns": {
"patient": [
"Diagnosis",
"ID"
],
"laboratory": [
"ID",
"TP"
]
},
"missing_columns": {
"laboratory": [
... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_2 | {
"Laboratory": [
"ALP",
"APTT",
"C3",
"C4",
"CPK",
"CRE",
"CRP",
"DNA-II",
"FG",
"GPT",
"HGB",
"ID",
"IGA",
"IGG",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RNP",
"SSA",
"T-CHO",
"TAT",
"TAT2",
"U-PRO",
"UA",
... | For the patients who are diagnosed with SJS, how many of them have a normal level of total protein? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT COUNT(DISTINCT T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T1.Diagnosis = 'SJS' AND T2.TP > 6.0 AND T2.TP < 8.5",
"permission": "denied",
"query_columns": {
"patient": [
"Diagnosis",
"ID"
],
"laboratory": [
"ID",
"TP"
]... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_2 | {
"Laboratory": [
"ALP",
"APTT",
"C3",
"C4",
"CPK",
"CRE",
"CRP",
"DNA-II",
"FG",
"GPT",
"HGB",
"ID",
"IGA",
"IGG",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RNP",
"SSA",
"T-CHO",
"TAT",
"TAT2",
"U-PRO",
"UA",
... | What is the examination date of the patient whose albumin is the highest in the normal range? | Sorry, I cannot answer. | simple | {
"gold_sql": "SELECT Date FROM Laboratory WHERE ALB > 3.5 AND ALB < 5.5 ORDER BY ALB DESC LIMIT 1",
"permission": "denied",
"query_columns": {
"laboratory": [
"ALB"
]
},
"missing_columns": {
"laboratory": [
"ALB"
]
},
"reason": "Missing column permissions: laboratory: ALB",
... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_2 | {
"Laboratory": [
"ALP",
"APTT",
"C3",
"C4",
"CPK",
"CRE",
"CRP",
"DNA-II",
"FG",
"GPT",
"HGB",
"ID",
"IGA",
"IGG",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RNP",
"SSA",
"T-CHO",
"TAT",
"TAT2",
"U-PRO",
"UA",
... | How many male patients have a normal level of both albumin and total protein? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT COUNT(T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T1.SEX = 'M' AND T2.ALB > 3.5 AND T2.ALB < 5.5 AND T2.TP BETWEEN 6.0 AND 8.5",
"permission": "denied",
"query_columns": {
"patient": [
"ID",
"SEX"
],
"laboratory": [
"ALB",
... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_2 | {
"Laboratory": [
"ALP",
"APTT",
"C3",
"C4",
"CPK",
"CRE",
"CRP",
"DNA-II",
"FG",
"GPT",
"HGB",
"ID",
"IGA",
"IGG",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RNP",
"SSA",
"T-CHO",
"TAT",
"TAT2",
"U-PRO",
"UA",
... | What is the anti Cardiolipin antibody concentration of the female patient with the highest uric acid level above 6.5? | Sorry, I cannot answer. | challenging | {
"gold_sql": "SELECT T3.`aCL IgG`, T3.`aCL IgM`, T3.`aCL IgA` FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID INNER JOIN Examination AS T3 ON T3.ID = T2.ID WHERE T1.SEX = 'F' AND T2.UA > 6.5 ORDER BY T2.UA DESC, T1.ID ASC LIMIT 1",
"permission": "denied",
"query_columns": {
"patient": [
... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_2 | {
"Laboratory": [
"ALP",
"APTT",
"C3",
"C4",
"CPK",
"CRE",
"CRP",
"DNA-II",
"FG",
"GPT",
"HGB",
"ID",
"IGA",
"IGG",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RNP",
"SSA",
"T-CHO",
"TAT",
"TAT2",
"U-PRO",
"UA",
... | What is the highest anti-nucleus antibody concentration level of a patient with a normal creatinine level? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT MAX(T2.ANA) FROM Patient AS T1 INNER JOIN Examination AS T2 ON T1.ID = T2.ID INNER JOIN Laboratory AS T3 ON T1.ID = T3.ID WHERE T3.CRE < 1.5",
"permission": "denied",
"query_columns": {
"patient": [
"ID"
],
"examination": [
"ANA",
"ID"
],
"laboratory": [... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_2 | {
"Laboratory": [
"ALP",
"APTT",
"C3",
"C4",
"CPK",
"CRE",
"CRP",
"DNA-II",
"FG",
"GPT",
"HGB",
"ID",
"IGA",
"IGG",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RNP",
"SSA",
"T-CHO",
"TAT",
"TAT2",
"U-PRO",
"UA",
... | Please list the patient's ID whose creatinine level is normal and whose anti Cardiolipin antibody concentration level is the highest. | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT T2.ID FROM Laboratory AS T1 INNER JOIN Examination AS T2 ON T1.ID = T2.ID WHERE T1.CRE < 1.5 AND T2.`aCL IgA` IS NOT NULL ORDER BY T2.`aCL IgA` DESC LIMIT 1",
"permission": "denied",
"query_columns": {
"examination": [
"ID",
"aCL IgA"
],
"laboratory": [
"CRE",
... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_2 | {
"Laboratory": [
"ALP",
"APTT",
"C3",
"C4",
"CPK",
"CRE",
"CRP",
"DNA-II",
"FG",
"GPT",
"HGB",
"ID",
"IGA",
"IGG",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RNP",
"SSA",
"T-CHO",
"TAT",
"TAT2",
"U-PRO",
"UA",
... | Among the patients whose total bilirubin is over the normal range, how many of them have a peripheral pattern observed in the sheet of ANA examination? | Sorry, I cannot answer. | challenging | {
"gold_sql": "SELECT COUNT(T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID INNER JOIN Examination AS T3 ON T1.ID = T3.ID WHERE T2.`T-BIL` >= 2 AND T3.`ANA Pattern` LIKE '%P%'",
"permission": "denied",
"query_columns": {
"patient": [
"ID"
],
"examination": [
"ANA Pat... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_2 | {
"Laboratory": [
"ALP",
"APTT",
"C3",
"C4",
"CPK",
"CRE",
"CRP",
"DNA-II",
"FG",
"GPT",
"HGB",
"ID",
"IGA",
"IGG",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RNP",
"SSA",
"T-CHO",
"TAT",
"TAT2",
"U-PRO",
"UA",
... | What is the anti-nucleus antibody concentration of the patient whose total bilirubin is the highest in the normal range? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT T1.ANA FROM Examination AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.`T-BIL` < 2.0 ORDER BY T2.`T-BIL` DESC LIMIT 1",
"permission": "denied",
"query_columns": {
"examination": [
"ANA",
"ID"
],
"laboratory": [
"ID",
"T-BIL"
]
},
"miss... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_2 | {
"Laboratory": [
"ALP",
"APTT",
"C3",
"C4",
"CPK",
"CRE",
"CRP",
"DNA-II",
"FG",
"GPT",
"HGB",
"ID",
"IGA",
"IGG",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RNP",
"SSA",
"T-CHO",
"TAT",
"TAT2",
"U-PRO",
"UA",
... | For the patients whose total cholesterol is higher than normal, how many of them have a negative measure of degree of coagulation? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT COUNT(T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID INNER JOIN Examination AS T3 ON T1.ID = T3.ID WHERE T2.`T-CHO` >= 250 AND T3.KCT = '-'",
"permission": "denied",
"query_columns": {
"patient": [
"ID"
],
"examination": [
"ID",
"KCT"
... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_2 | {
"Laboratory": [
"ALP",
"APTT",
"C3",
"C4",
"CPK",
"CRE",
"CRP",
"DNA-II",
"FG",
"GPT",
"HGB",
"ID",
"IGA",
"IGG",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RNP",
"SSA",
"T-CHO",
"TAT",
"TAT2",
"U-PRO",
"UA",
... | Among the patients whose total cholesterol is within the normal range, how many of them have a P pattern observed in the sheet of ANA examination? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT COUNT(DISTINCT T1.ID) AS qualified_patient_count\nFROM Patient AS T1\nINNER JOIN Laboratory AS T2 ON T1.ID = T2.ID \nINNER JOIN Examination AS T3 ON T1.ID = T3.ID \nWHERE \n T2.`T-CHO` < 250 \n AND T3.`ANA Pattern` = 'P';",
"permission": "denied",
"query_columns": {
"patient": [
... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_2 | {
"Laboratory": [
"ALP",
"APTT",
"C3",
"C4",
"CPK",
"CRE",
"CRP",
"DNA-II",
"FG",
"GPT",
"HGB",
"ID",
"IGA",
"IGG",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RNP",
"SSA",
"T-CHO",
"TAT",
"TAT2",
"U-PRO",
"UA",
... | Among the patients with the normal level of triglyceride, how many of them have other symptoms observed? | Sorry, I cannot answer. | simple | {
"gold_sql": "SELECT COUNT(DISTINCT T1.ID) \nFROM Examination AS T1 \nINNER JOIN Laboratory AS T2 ON T1.ID = T2.ID \nWHERE T2.TG < 200 \nAND T1.Symptoms IS NOT NULL",
"permission": "denied",
"query_columns": {
"examination": [
"ID",
"Symptoms"
],
"laboratory": [
"ID",
"TG"
... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_2 | {
"Laboratory": [
"ALP",
"APTT",
"C3",
"C4",
"CPK",
"CRE",
"CRP",
"DNA-II",
"FG",
"GPT",
"HGB",
"ID",
"IGA",
"IGG",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RNP",
"SSA",
"T-CHO",
"TAT",
"TAT2",
"U-PRO",
"UA",
... | What is the disease name of the patient who has the highest level of triglyceride within the normal range? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT T1.Diagnosis FROM Examination AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.TG < 200 ORDER BY T2.TG DESC LIMIT 1",
"permission": "denied",
"query_columns": {
"examination": [
"Diagnosis",
"ID"
],
"laboratory": [
"ID",
"TG"
]
},
"missi... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_2 | {
"Laboratory": [
"ALP",
"APTT",
"C3",
"C4",
"CPK",
"CRE",
"CRP",
"DNA-II",
"FG",
"GPT",
"HGB",
"ID",
"IGA",
"IGG",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RNP",
"SSA",
"T-CHO",
"TAT",
"TAT2",
"U-PRO",
"UA",
... | Please list the IDs of the patients with no thrombosis and an abnormal level of creatinine phosphokinase. | Sorry, I cannot answer. | simple | {
"gold_sql": "SELECT DISTINCT T1.ID FROM Laboratory AS T1 INNER JOIN Examination AS T2 ON T1.ID = T2.ID WHERE T2.Thrombosis = 0 AND T1.CPK < 250",
"permission": "denied",
"query_columns": {
"examination": [
"ID",
"Thrombosis"
],
"laboratory": [
"CPK",
"ID"
]
},
"missin... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_2 | {
"Laboratory": [
"ALP",
"APTT",
"C3",
"C4",
"CPK",
"CRE",
"CRP",
"DNA-II",
"FG",
"GPT",
"HGB",
"ID",
"IGA",
"IGG",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RNP",
"SSA",
"T-CHO",
"TAT",
"TAT2",
"U-PRO",
"UA",
... | For the patients with a normal range of creatinine phosphokinase, how many of them have a positive measure of degree of coagulation? | Sorry, I cannot answer. | challenging | {
"gold_sql": "SELECT COUNT(T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID INNER JOIN Examination AS T3 ON T1.ID = T3.ID WHERE T2.CPK < 250 AND (T3.KCT = '+' OR T3.RVVT = '+' OR T3.LAC = '+')",
"permission": "denied",
"query_columns": {
"patient": [
"ID"
],
"examination":... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_2 | {
"Laboratory": [
"ALP",
"APTT",
"C3",
"C4",
"CPK",
"CRE",
"CRP",
"DNA-II",
"FG",
"GPT",
"HGB",
"ID",
"IGA",
"IGG",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RNP",
"SSA",
"T-CHO",
"TAT",
"TAT2",
"U-PRO",
"UA",
... | When is the birthday of the oldest patient whose blood glucose is abnormal? | Sorry, I cannot answer. | simple | {
"gold_sql": "SELECT T1.Birthday FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.GLU > 180 ORDER BY T1.Birthday ASC LIMIT 1",
"permission": "denied",
"query_columns": {
"patient": [
"Birthday",
"ID"
],
"laboratory": [
"GLU",
"ID"
]
},
"missing_... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_2 | {
"Laboratory": [
"ALP",
"APTT",
"C3",
"C4",
"CPK",
"CRE",
"CRP",
"DNA-II",
"FG",
"GPT",
"HGB",
"ID",
"IGA",
"IGG",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RNP",
"SSA",
"T-CHO",
"TAT",
"TAT2",
"U-PRO",
"UA",
... | Among the patients with a normal blood glucose, how many of them don't have thrombosis? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT COUNT(DISTINCT T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID INNER JOIN Examination AS T3 ON T1.ID = T3.ID WHERE T2.GLU < 180 AND T3.Thrombosis = 0",
"permission": "denied",
"query_columns": {
"patient": [
"ID"
],
"examination": [
"ID",
... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_2 | {
"Laboratory": [
"ALP",
"APTT",
"C3",
"C4",
"CPK",
"CRE",
"CRP",
"DNA-II",
"FG",
"GPT",
"HGB",
"ID",
"IGA",
"IGG",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RNP",
"SSA",
"T-CHO",
"TAT",
"TAT2",
"U-PRO",
"UA",
... | How many patients accepted to the hospital have a normal level of white blood cells? | SELECT COUNT(T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.WBC BETWEEN 3.5 AND 9 AND T1.Admission = '+' | moderate | {
"gold_sql": "SELECT COUNT(T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.WBC BETWEEN 3.5 AND 9 AND T1.Admission = '+'",
"permission": "allowed",
"query_columns": {
"patient": [
"Admission",
"ID"
],
"laboratory": [
"ID",
"WBC"
]
},
"mis... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_2 | {
"Laboratory": [
"ALP",
"APTT",
"C3",
"C4",
"CPK",
"CRE",
"CRP",
"DNA-II",
"FG",
"GPT",
"HGB",
"ID",
"IGA",
"IGG",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RNP",
"SSA",
"T-CHO",
"TAT",
"TAT2",
"U-PRO",
"UA",
... | How many patients diagnosed with SLE have a normal white blood cell level? | SELECT COUNT(T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T1.Diagnosis = 'SLE' AND T2.WBC BETWEEN 3.5 AND 9 | simple | {
"gold_sql": "SELECT COUNT(T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T1.Diagnosis = 'SLE' AND T2.WBC BETWEEN 3.5 AND 9",
"permission": "allowed",
"query_columns": {
"patient": [
"Diagnosis",
"ID"
],
"laboratory": [
"ID",
"WBC"
]
},
"m... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_2 | {
"Laboratory": [
"ALP",
"APTT",
"C3",
"C4",
"CPK",
"CRE",
"CRP",
"DNA-II",
"FG",
"GPT",
"HGB",
"ID",
"IGA",
"IGG",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RNP",
"SSA",
"T-CHO",
"TAT",
"TAT2",
"U-PRO",
"UA",
... | Please list the patient's ID if he or she has an abnormal level of red blood cell and is followed at the outpatient clinic. | SELECT DISTINCT T1.ID FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE (T2.RBC <= 3.5 OR T2.RBC >= 6) AND T1.Admission = '-' | challenging | {
"gold_sql": "SELECT DISTINCT T1.ID FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE (T2.RBC <= 3.5 OR T2.RBC >= 6) AND T1.Admission = '-'",
"permission": "allowed",
"query_columns": {
"patient": [
"Admission",
"ID"
],
"laboratory": [
"ID",
"RBC"
]
}... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_2 | {
"Laboratory": [
"ALP",
"APTT",
"C3",
"C4",
"CPK",
"CRE",
"CRP",
"DNA-II",
"FG",
"GPT",
"HGB",
"ID",
"IGA",
"IGG",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RNP",
"SSA",
"T-CHO",
"TAT",
"TAT2",
"U-PRO",
"UA",
... | Among the patients who have a normal platelet level, how many of them have other symptoms observed? | SELECT COUNT(T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.PLT > 100 AND T2.PLT < 400 AND T1.Diagnosis IS NOT NULL | moderate | {
"gold_sql": "SELECT COUNT(T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.PLT > 100 AND T2.PLT < 400 AND T1.Diagnosis IS NOT NULL",
"permission": "allowed",
"query_columns": {
"patient": [
"Diagnosis",
"ID"
],
"laboratory": [
"ID",
"PLT"
]
... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_2 | {
"Laboratory": [
"ALP",
"APTT",
"C3",
"C4",
"CPK",
"CRE",
"CRP",
"DNA-II",
"FG",
"GPT",
"HGB",
"ID",
"IGA",
"IGG",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RNP",
"SSA",
"T-CHO",
"TAT",
"TAT2",
"U-PRO",
"UA",
... | Please list a patient's platelet level if it is within the normal range and if he or she is diagnosed with MCTD. | SELECT T2.PLT FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T1.Diagnosis = 'MCTD' AND T2.PLT BETWEEN 100 AND 400 | moderate | {
"gold_sql": "SELECT T2.PLT FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T1.Diagnosis = 'MCTD' AND T2.PLT BETWEEN 100 AND 400",
"permission": "allowed",
"query_columns": {
"patient": [
"Diagnosis",
"ID"
],
"laboratory": [
"ID",
"PLT"
]
},
"miss... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_2 | {
"Laboratory": [
"ALP",
"APTT",
"C3",
"C4",
"CPK",
"CRE",
"CRP",
"DNA-II",
"FG",
"GPT",
"HGB",
"ID",
"IGA",
"IGG",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RNP",
"SSA",
"T-CHO",
"TAT",
"TAT2",
"U-PRO",
"UA",
... | For the male patients that have a normal prothrombin time, what is their average prothrombin time? | SELECT AVG(T2.PT) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.PT < 14 AND T1.SEX = 'M' | simple | {
"gold_sql": "SELECT AVG(T2.PT) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.PT < 14 AND T1.SEX = 'M'",
"permission": "allowed",
"query_columns": {
"patient": [
"ID",
"SEX"
],
"laboratory": [
"ID",
"PT"
]
},
"missing_columns": {},
"reason"... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_2 | {
"Laboratory": [
"ALP",
"APTT",
"C3",
"C4",
"CPK",
"CRE",
"CRP",
"DNA-II",
"FG",
"GPT",
"HGB",
"ID",
"IGA",
"IGG",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RNP",
"SSA",
"T-CHO",
"TAT",
"TAT2",
"U-PRO",
"UA",
... | How many patients with severe thrombosis have a normal prothrombin time? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT COUNT(T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID INNER JOIN Examination AS T3 ON T1.ID = T3.ID WHERE T2.PT < 14 AND T3.Thrombosis < 3 AND T3.Thrombosis > 0",
"permission": "denied",
"query_columns": {
"patient": [
"ID"
],
"examination": [
"... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | Are there more in-patient or outpatient who were male? What is the deviation in percentage? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT CAST(SUM(CASE WHEN Admission = '+' THEN 1 ELSE 0 END) AS REAL) * 100 / SUM(CASE WHEN Admission = '-' THEN 1 ELSE 0 END) FROM Patient WHERE SEX = 'M'",
"permission": "denied",
"query_columns": {
"patient": [
"Admission",
"SEX"
]
},
"missing_columns": {
"patient": [... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | What is the percentage of female patient were born after 1930? | SELECT CAST(SUM(CASE WHEN STRFTIME('%Y', Birthday) > '1930' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Patient WHERE SEX = 'F' | moderate | {
"gold_sql": "SELECT CAST(SUM(CASE WHEN STRFTIME('%Y', Birthday) > '1930' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Patient WHERE SEX = 'F'",
"permission": "allowed",
"query_columns": {
"patient": [
"Birthday",
"SEX"
]
},
"missing_columns": {},
"reason": "All required columns ar... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | For patient born between Year 1930 to 1940, how many percent of them were inpatient? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT CAST(SUM(CASE WHEN Admission = '+' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Patient WHERE STRFTIME('%Y', Birthday) BETWEEN '1930' AND '1940'",
"permission": "denied",
"query_columns": {
"patient": [
"Admission",
"Birthday"
]
},
"missing_columns": {
"patie... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | What is the ratio of outpatient to inpatient followed up treatment among all the 'SLE' diagnosed patient? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT SUM(CASE WHEN Admission = '-' THEN 1.0 ELSE 0 END) / NULLIF(SUM(CASE WHEN Admission = '+' THEN 1 ELSE 0 END), 0) FROM Patient WHERE Diagnosis = 'SLE'",
"permission": "denied",
"query_columns": {
"patient": [
"Admission",
"Diagnosis"
]
},
"missing_columns": {
"pati... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | What is the disease patient '30609' diagnosed with. List all the date of laboratory tests done for this patient. | Sorry, I cannot answer. | simple | {
"gold_sql": "SELECT T1.Diagnosis, T2.Date FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T1.ID = 30609",
"permission": "denied",
"query_columns": {
"patient": [
"Diagnosis",
"ID"
],
"laboratory": [
"Date",
"ID"
]
},
"missing_columns": {
"lab... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | State the sex and birthday of patient ID '163109'. When was the examination taken and what symptom does the patient had. | SELECT T1.SEX, T1.Birthday, T2.`Examination Date`, T2.Symptoms FROM Patient AS T1 INNER JOIN Examination AS T2 ON T1.ID = T2.ID WHERE T1.ID = 163109 | simple | {
"gold_sql": "SELECT T1.SEX, T1.Birthday, T2.`Examination Date`, T2.Symptoms FROM Patient AS T1 INNER JOIN Examination AS T2 ON T1.ID = T2.ID WHERE T1.ID = 163109",
"permission": "allowed",
"query_columns": {
"patient": [
"Birthday",
"ID",
"SEX"
],
"examination": [
"Examinatio... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | List the patient ID, sex and birthday of patient with LDH beyond normal range. | SELECT DISTINCT T1.ID, T1.SEX, T1.Birthday FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.LDH > 500 | simple | {
"gold_sql": "SELECT DISTINCT T1.ID, T1.SEX, T1.Birthday FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.LDH > 500",
"permission": "allowed",
"query_columns": {
"patient": [
"Birthday",
"ID",
"SEX"
],
"laboratory": [
"ID",
"LDH"
]
},
"mis... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | State the ID and age of patient with positive degree of coagulation. | SELECT DISTINCT T1.ID, STRFTIME('%Y', CURRENT_TIMESTAMP) - STRFTIME('%Y', T1.Birthday) AS Age FROM Patient AS T1 INNER JOIN Examination AS T2 ON T1.ID = T2.ID WHERE T2.RVVT = '+' | moderate | {
"gold_sql": "SELECT DISTINCT T1.ID, STRFTIME('%Y', CURRENT_TIMESTAMP) - STRFTIME('%Y', T1.Birthday) AS Age FROM Patient AS T1 INNER JOIN Examination AS T2 ON T1.ID = T2.ID WHERE T2.RVVT = '+'",
"permission": "allowed",
"query_columns": {
"patient": [
"Birthday",
"ID"
],
"examination": [
... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | For patients with severe degree of thrombosis, list their ID, sex and disease the patient is diagnosed with. | SELECT DISTINCT T1.ID, T1.SEX, T1.Diagnosis FROM Patient AS T1 INNER JOIN Examination AS T2 ON T1.ID = T2.ID WHERE T2.Thrombosis = 2 | simple | {
"gold_sql": "SELECT DISTINCT T1.ID, T1.SEX, T1.Diagnosis FROM Patient AS T1 INNER JOIN Examination AS T2 ON T1.ID = T2.ID WHERE T2.Thrombosis = 2",
"permission": "allowed",
"query_columns": {
"patient": [
"Diagnosis",
"ID",
"SEX"
],
"examination": [
"ID",
"Thrombosis"
... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | List all patients who were born in 1937 whose total cholesterol was beyond the normal range. | SELECT DISTINCT T1.ID FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE STRFTIME('%Y', T1.Birthday) = '1937' AND T2.`T-CHO` >= 250 | moderate | {
"gold_sql": "SELECT DISTINCT T1.ID FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE STRFTIME('%Y', T1.Birthday) = '1937' AND T2.`T-CHO` >= 250",
"permission": "allowed",
"query_columns": {
"patient": [
"Birthday",
"ID"
],
"laboratory": [
"ID",
"T-CHO"
... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | For patient with albumin level lower than 3.5, list their ID, sex and diagnosis. | SELECT DISTINCT T1.ID, T1.SEX, T1.Diagnosis FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.ALB < 3.5 | simple | {
"gold_sql": "SELECT DISTINCT T1.ID, T1.SEX, T1.Diagnosis FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.ALB < 3.5",
"permission": "allowed",
"query_columns": {
"patient": [
"Diagnosis",
"ID",
"SEX"
],
"laboratory": [
"ALB",
"ID"
]
},
"m... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | What is the percentage of female patient had total protein not within the normal range? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT CAST(SUM(CASE WHEN T1.SEX = 'F' AND (T2.TP < 6.0 OR T2.TP > 8.5) THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T1.SEX = 'F'",
"permission": "denied",
"query_columns": {
"patient": [
"ID",
"SEX"
],
"l... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | For in-patients, what is the average IgG concentration measured when they were age 50 or above? | Sorry, I cannot answer. | challenging | {
"gold_sql": "SELECT AVG(T2.`aCL IgG`)\nFROM Patient AS T1 INNER JOIN Examination AS T2 ON T1.ID = T2.ID \nWHERE STRFTIME('%Y', T2.`Examination Date`) - STRFTIME('%Y', T1.Birthday) >= 50 AND T1.Admission = '+'",
"permission": "denied",
"query_columns": {
"patient": [
"Admission",
"Birthday",
... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | How many female patients who came at the hospital in 1997 was immediately followed at the outpatient clinic? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT COUNT(*) FROM Patient WHERE STRFTIME('%Y', Description) = '1997' AND SEX = 'F' AND Admission = '-'",
"permission": "denied",
"query_columns": {
"patient": [
"Admission",
"Description",
"SEX"
]
},
"missing_columns": {
"patient": [
"Admission"
]
},... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | What was the age of the youngest patient when they initially arrived at the hospital? | Sorry, I cannot answer. | simple | {
"gold_sql": "SELECT MIN(STRFTIME('%Y', `First Date`) - STRFTIME('%Y', Birthday)) FROM Patient",
"permission": "denied",
"query_columns": {
"patient": [
"Birthday",
"First Date"
]
},
"missing_columns": {
"patient": [
"First Date"
]
},
"reason": "Missing column permission... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | How many of the patients with the most serious thrombosis cases examined in 1997 are women? | SELECT COUNT(*) FROM Patient AS T1 INNER JOIN Examination AS T2 ON T1.ID = T2.ID WHERE T1.SEX = 'F' AND STRFTIME('%Y', T2.`Examination Date`) = '1997' AND T2.Thrombosis = 1 | moderate | {
"gold_sql": "SELECT COUNT(*) FROM Patient AS T1 INNER JOIN Examination AS T2 ON T1.ID = T2.ID WHERE T1.SEX = 'F' AND STRFTIME('%Y', T2.`Examination Date`) = '1997' AND T2.Thrombosis = 1",
"permission": "allowed",
"query_columns": {
"patient": [
"ID",
"SEX"
],
"examination": [
"Exa... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | What is the age gap between the youngest and oldest patient with a normal triglyceride recorded? | SELECT STRFTIME('%Y', MAX(T1.Birthday)) - STRFTIME('%Y', MIN(T1.Birthday)) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.TG >= 200 | moderate | {
"gold_sql": "SELECT STRFTIME('%Y', MAX(T1.Birthday)) - STRFTIME('%Y', MIN(T1.Birthday)) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.TG >= 200",
"permission": "allowed",
"query_columns": {
"patient": [
"Birthday",
"ID"
],
"laboratory": [
"ID",
"TG"... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | What are the symptoms observed by the youngest patient to ever did a medical examination? Identify their diagnosis. | SELECT T2.Symptoms, T1.Diagnosis FROM Patient AS T1 INNER JOIN Examination AS T2 ON T1.ID = T2.ID WHERE T2.Symptoms IS NOT NULL ORDER BY T1.Birthday DESC LIMIT 1 | simple | {
"gold_sql": "SELECT T2.Symptoms, T1.Diagnosis FROM Patient AS T1 INNER JOIN Examination AS T2 ON T1.ID = T2.ID WHERE T2.Symptoms IS NOT NULL ORDER BY T1.Birthday DESC LIMIT 1",
"permission": "allowed",
"query_columns": {
"patient": [
"Birthday",
"Diagnosis",
"ID"
],
"examination": ... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | For the year that concluded on December 31, 1998, how many male patients on average were tested in the lab each month? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT CAST(COUNT(T1.ID) AS REAL) / 12 FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE STRFTIME('%Y', T2.Date) = '1998' AND T1.SEX = 'M'",
"permission": "denied",
"query_columns": {
"patient": [
"ID",
"SEX"
],
"laboratory": [
"Date",
"ID"
... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | The oldest SJS patient's latest medical laboratory work was completed on what date, and what age was the patient when they initially arrived at the hospital? | Sorry, I cannot answer. | challenging | {
"gold_sql": "SELECT Max(T1.Date) AS LatestLabDate, STRFTIME('%Y', T2.`First Date`) - STRFTIME('%Y', T2.Birthday) AS AgeFirstArrived,T2.Birthday FROM Laboratory AS T1 INNER JOIN Patient AS T2 ON T1.ID = T2.ID WHERE T2.ID = (SELECT ID FROM Patient WHERE Diagnosis = 'SJS' AND Birthday IS NOT NULL ORDER BY Birthday ASC... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | What is the ratio of male to female patients among all those with abnormal uric acid counts? | Sorry, I cannot answer. | challenging | {
"gold_sql": "SELECT CAST(SUM(CASE WHEN T2.UA <= 8.0 AND T1.SEX = 'M' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN T2.UA <= 6.5 AND T1.SEX = 'F' THEN 1 ELSE 0 END) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID",
"permission": "denied",
"query_columns": {
"patient": [
"ID",
"SEX"
... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | How many patients hadn't undergone a medical examination until at least a year following their initial hospital visit? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT COUNT(DISTINCT T1.ID) FROM Patient AS T1 INNER JOIN Examination AS T2 ON T1.ID = T2.ID WHERE T1.Admission = '+' AND JULIANDAY(T2.`Examination Date`) - JULIANDAY(T1.`First Date`) >= 365",
"permission": "denied",
"query_columns": {
"patient": [
"Admission",
"First Date",
... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | How many underage patients were examined during the course of the three-year period from 1990 to 1993? | SELECT COUNT(T1.ID) FROM Patient AS T1 INNER JOIN Examination AS T2 ON T1.ID = T2.ID WHERE STRFTIME('%Y', T2.`Examination Date`) BETWEEN '1990' AND '1993' AND STRFTIME('%Y', T2.`Examination Date`) - STRFTIME('%Y', T1.Birthday) < 18 | challenging | {
"gold_sql": "SELECT COUNT(T1.ID) FROM Patient AS T1 INNER JOIN Examination AS T2 ON T1.ID = T2.ID WHERE STRFTIME('%Y', T2.`Examination Date`) BETWEEN '1990' AND '1993' AND STRFTIME('%Y', T2.`Examination Date`) - STRFTIME('%Y', T1.Birthday) < 18",
"permission": "allowed",
"query_columns": {
"patient": [
... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | How many male patients have elevated total bilirubin count? | SELECT COUNT(DISTINCT T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.`T-BIL` >= 2.0 AND T1.SEX = 'M' | simple | {
"gold_sql": "SELECT COUNT(DISTINCT T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.`T-BIL` >= 2.0 AND T1.SEX = 'M'",
"permission": "allowed",
"query_columns": {
"patient": [
"ID",
"SEX"
],
"laboratory": [
"ID",
"T-BIL"
]
},
"missing_col... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | What is the most common illness that doctors identified among the patients whose lab work was done between 1/1/1985 and 12/31/1995? | SELECT T2.Diagnosis FROM Examination AS T1 INNER JOIN Patient AS T2 ON T1.ID = T2.ID WHERE T1.`Examination Date` BETWEEN '1985-01-01' AND '1995-12-31' GROUP BY T2.Diagnosis ORDER BY COUNT(T2.Diagnosis) DESC, T2.Diagnosis DESC LIMIT 1 | challenging | {
"gold_sql": "SELECT T2.Diagnosis FROM Examination AS T1 INNER JOIN Patient AS T2 ON T1.ID = T2.ID WHERE T1.`Examination Date` BETWEEN '1985-01-01' AND '1995-12-31' GROUP BY T2.Diagnosis ORDER BY COUNT(T2.Diagnosis) DESC, T2.Diagnosis DESC LIMIT 1",
"permission": "allowed",
"query_columns": {
"examination": ... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | What is the average age of patients as of year 1999 examined in the laboratory for the October of the year 1991? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT AVG('1999' - STRFTIME('%Y', T2.Birthday)) FROM Laboratory AS T1 INNER JOIN Patient AS T2 ON T1.ID = T2.ID WHERE T1.Date BETWEEN '1991-10-01' AND '1991-10-30'",
"permission": "denied",
"query_columns": {
"patient": [
"Birthday",
"ID"
],
"laboratory": [
"Date",
... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | How old was the patient who had the highest hemoglobin count on the date of laboratory tests , and what is the doctor's diagnosis? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT STRFTIME('%Y', T2.Date) - STRFTIME('%Y', T1.Birthday), T1.Diagnosis FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.HGB = (SELECT MAX(HGB) FROM Laboratory)",
"permission": "denied",
"query_columns": {
"patient": [
"Birthday",
"Diagnosis",
"ID"
... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | What was the anti-nucleus antibody concentration level for the patient id 3605340 on 1996/12/2? | SELECT ANA FROM Examination WHERE ID = 3605340 AND `Examination Date` = '1996-12-02' | simple | {
"gold_sql": "SELECT ANA FROM Examination WHERE ID = 3605340 AND `Examination Date` = '1996-12-02'",
"permission": "allowed",
"query_columns": {
"examination": [
"ANA",
"Examination Date",
"ID"
]
},
"missing_columns": {},
"reason": "All required columns are permitted",
"question... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | Was the total cholesterol status for the patient id 2927464 on 1995-9-4 at the normal level? | SELECT CASE WHEN `T-CHO` < 250 THEN 'Normal' ELSE 'Abnormal' END FROM Laboratory WHERE ID = 2927464 AND Date = '1995-09-04' | simple | {
"gold_sql": "SELECT CASE WHEN `T-CHO` < 250 THEN 'Normal' ELSE 'Abnormal' END FROM Laboratory WHERE ID = 2927464 AND Date = '1995-09-04'",
"permission": "allowed",
"query_columns": {
"laboratory": [
"ID",
"T-CHO"
]
},
"missing_columns": {},
"reason": "All required columns are permitted... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | What was the gender of the first AORTITIS diagnosed patient? | Sorry, I cannot answer. | simple | {
"gold_sql": "SELECT SEX FROM Patient WHERE Diagnosis = 'AORTITIS' AND `First Date` IS NOT NULL ORDER BY `First Date` ASC, ID DESC LIMIT 1",
"permission": "denied",
"query_columns": {
"patient": [
"Diagnosis",
"First Date",
"ID",
"SEX"
]
},
"missing_columns": {
"patient": ... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | For the patient who was diagnosed with SLE on 1994/2/19, what was his/her anti-Cardiolipin antibody concentration status on 1993/11/12? | SELECT `aCL IgA`, `aCL IgG`, `aCL IgM` FROM Examination WHERE ID IN ( SELECT ID FROM Patient WHERE Diagnosis = 'SLE' AND Description = '1994-02-19' ) AND `Examination Date` = '1993-11-12' | moderate | {
"gold_sql": "SELECT `aCL IgA`, `aCL IgG`, `aCL IgM` FROM Examination WHERE ID IN ( SELECT ID FROM Patient WHERE Diagnosis = 'SLE' AND Description = '1994-02-19' ) AND `Examination Date` = '1993-11-12'",
"permission": "allowed",
"query_columns": {
"examination": [
"Diagnosis",
"Examination Date",... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | Was the patient a man or a woman whose ALT glutamic pylvic transaminase status got 9 on 1992-6-12? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT T1.SEX FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.GPT = 9 AND T2.Date = '1992-06-12'",
"permission": "denied",
"query_columns": {
"patient": [
"ID",
"SEX"
],
"laboratory": [
"Date",
"GPT",
"ID"
]
},
"missing_colu... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | For the patient who got the laboratory test of uric acid level as 8.4 on 1991-10-21, how old was he/she at that time? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT STRFTIME('%Y', T2.`Date`) - STRFTIME('%Y', T1.Birthday) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.UA = 8.4 AND T2.`Date` = '1991-10-21'",
"permission": "denied",
"query_columns": {
"patient": [
"Birthday",
"ID"
],
"laboratory": [
"... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | For the patient who first came to the hospital on 1991/6/13 who was diagnosed with SJS, what is the total number of his/her Laboratory tests in 1995? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT COUNT(*) FROM Laboratory WHERE ID = ( SELECT ID FROM Patient WHERE `First Date` = '1991-06-13' AND Diagnosis = 'SJS' ) AND STRFTIME('%Y', Date) = '1995'",
"permission": "denied",
"query_columns": {
"patient": [
"Diagnosis",
"First Date",
"ID"
],
"laboratory": []... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | For the patient who was diagnosed SLE on 1997/1/27, what was his/her original diagnose when he/she came to the hospital for the first time? | SELECT T1.Diagnosis
FROM Patient AS T1
INNER JOIN Examination AS T2 ON T1.ID = T2.ID
WHERE T1.ID = (
SELECT ID
FROM Examination
WHERE `Examination Date` = '1997-01-27' AND Diagnosis = 'SLE'
ORDER BY ID ASC
LIMIT 1
)
AND T2.`Examination Date` = T1.`First Date` | challenging | {
"gold_sql": "SELECT T1.Diagnosis \nFROM Patient AS T1 \nINNER JOIN Examination AS T2 ON T1.ID = T2.ID \nWHERE T1.ID = ( \n SELECT ID \n FROM Examination \n WHERE `Examination Date` = '1997-01-27' AND Diagnosis = 'SLE' \n ORDER BY ID ASC \n LIMIT 1 \n) \nAND T2.`Examination Date` = T1.`First Date`",
... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | For the patient whose birthday was 1959/3/1, what symptoms did he/she have during the examination on 1993/9/27? | SELECT T2.Symptoms FROM Patient AS T1 INNER JOIN Examination AS T2 ON T1.ID = T2.ID WHERE T1.Birthday = '1959-03-01' AND T2.`Examination Date` = '1993-09-27' | simple | {
"gold_sql": "SELECT T2.Symptoms FROM Patient AS T1 INNER JOIN Examination AS T2 ON T1.ID = T2.ID WHERE T1.Birthday = '1959-03-01' AND T2.`Examination Date` = '1993-09-27'",
"permission": "allowed",
"query_columns": {
"patient": [
"Birthday",
"ID"
],
"examination": [
"Examination Da... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | For the patient who was born on 1959/2/18, what is the decrease rate for his/her total cholesterol from November to December in 1981? | Sorry, I cannot answer. | challenging | {
"gold_sql": "SELECT CAST((SUM(CASE WHEN T2.Date LIKE '1981-11-%' THEN T2.`T-CHO` ELSE 0 END) - SUM(CASE WHEN T2.Date LIKE '1981-12-%' THEN T2.`T-CHO` ELSE 0 END)) AS REAL) / SUM(CASE WHEN T2.Date LIKE '1981-12-%' THEN T2.`T-CHO` ELSE 0 END) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T1.Bi... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | Lists all patients by ID who were diagnosed with Behcet's and had their exams between 01/01/197 and 12/31/1997. | SELECT ID FROM Examination WHERE `Examination Date` BETWEEN '1997-01-01' AND '1997-12-31' AND Diagnosis = 'Behcet' | moderate | {
"gold_sql": "SELECT ID FROM Examination WHERE `Examination Date` BETWEEN '1997-01-01' AND '1997-12-31' AND Diagnosis = 'Behcet'",
"permission": "allowed",
"query_columns": {
"examination": [
"Diagnosis",
"Examination Date",
"ID"
]
},
"missing_columns": {},
"reason": "All required... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | How many patients who were examined between 1987/7/6 and 1996/1/31 had a GPT level greater than 30 and an ALB level less than 4? List them by their ID. | SELECT DISTINCT ID FROM Laboratory WHERE Date BETWEEN '1987-07-06' AND '1996-01-31' AND GPT > 30 AND ALB < 4 | moderate | {
"gold_sql": "SELECT DISTINCT ID FROM Laboratory WHERE Date BETWEEN '1987-07-06' AND '1996-01-31' AND GPT > 30 AND ALB < 4",
"permission": "allowed",
"query_columns": {
"laboratory": [
"ALB",
"GPT",
"ID"
]
},
"missing_columns": {},
"reason": "All required columns are permitted",
... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | How many female patients born in 1964 were admitted to the hospital? List them by ID. | Sorry, I cannot answer. | simple | {
"gold_sql": "SELECT ID FROM Patient WHERE STRFTIME('%Y', Birthday) = '1964' AND SEX = 'F' AND Admission = '+'",
"permission": "denied",
"query_columns": {
"patient": [
"Admission",
"Birthday",
"ID",
"SEX"
]
},
"missing_columns": {
"patient": [
"Admission"
]
},... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | What number of patients with a degree of thrombosis level 2 and ANA pattern of only S, have a level of anti-Cardiolipin antibody (IgM) 20% higher than average? | SELECT COUNT(*) FROM Examination WHERE Thrombosis = 2 AND `ANA Pattern` = 'S' AND `aCL IgM` > (SELECT AVG(`aCL IgM`) * 1.2 FROM Examination WHERE Thrombosis = 2 AND `ANA Pattern` = 'S') | challenging | {
"gold_sql": "SELECT COUNT(*) FROM Examination WHERE Thrombosis = 2 AND `ANA Pattern` = 'S' AND `aCL IgM` > (SELECT AVG(`aCL IgM`) * 1.2 FROM Examination WHERE Thrombosis = 2 AND `ANA Pattern` = 'S')",
"permission": "allowed",
"query_columns": {
"examination": [
"ANA Pattern",
"Thrombosis",
... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | What percentage of patients with a proteinuria level within the normal range have a uric acid level below the normal range? | Sorry, I cannot answer. | challenging | {
"gold_sql": "SELECT CAST(SUM(CASE WHEN UA <= 6.5 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(ID) FROM Laboratory WHERE CAST(`U-PRO` AS REAL) > 0 AND CAST(`U-PRO` AS REAL) < 30",
"permission": "denied",
"query_columns": {
"laboratory": [
"ID",
"U-PRO",
"UA"
]
},
"missing_columns": {
... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | What percentage of male patients who first presented to the hospital in 1981 were diagnosed with BEHCET? | Sorry, I cannot answer. | challenging | {
"gold_sql": "SELECT CAST(SUM(CASE WHEN Diagnosis = 'BEHCET' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(ID) FROM Patient WHERE STRFTIME('%Y', `First Date`) = '1981' AND SEX = 'M'",
"permission": "denied",
"query_columns": {
"patient": [
"Diagnosis",
"First Date",
"ID",
"SEX"
]
},... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | List all patients who were followed up at the outpatient clinic who underwent a laboratory test in October 1991 and had a total blood bilirubin level within the normal range. | Sorry, I cannot answer. | challenging | {
"gold_sql": "SELECT DISTINCT T1.ID FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T1.Admission = '-' AND T2.`T-BIL` < 2.0 AND T2.Date LIKE '1991-10-%'",
"permission": "denied",
"query_columns": {
"patient": [
"Admission",
"ID"
],
"laboratory": [
"Date",
... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | Excluding all P only ANA Pattern patients, how many of the remainder are women born between 1980 and 1989? | SELECT COUNT(DISTINCT T1.ID) FROM Patient AS T1 INNER JOIN Examination AS T2 ON T1.ID = T2.ID WHERE T2.`ANA Pattern` != 'P' AND STRFTIME('%Y', T1.Birthday) BETWEEN '1980' AND '1989' AND T1.SEX = 'F' | moderate | {
"gold_sql": "SELECT COUNT(DISTINCT T1.ID) FROM Patient AS T1 INNER JOIN Examination AS T2 ON T1.ID = T2.ID WHERE T2.`ANA Pattern` != 'P' AND STRFTIME('%Y', T1.Birthday) BETWEEN '1980' AND '1989' AND T1.SEX = 'F'",
"permission": "allowed",
"query_columns": {
"patient": [
"Birthday",
"ID",
"... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | What sex is the patient who in a medical examination was diagnosed with PSS and in a laboratory examination had a blood level of C-reactive protein de 2+, createnine 1 and LDH 123? | Sorry, I cannot answer. | challenging | {
"gold_sql": "SELECT T1.SEX FROM Patient AS T1 INNER JOIN Examination AS T2 ON T1.ID = T2.ID INNER JOIN Laboratory AS T3 ON T3.ID = T2.ID WHERE T2.Diagnosis = 'PSS' AND T3.CRP = '2+' AND T3.CRE = 1.0 AND T3.LDH = 123",
"permission": "denied",
"query_columns": {
"patient": [
"ID",
"SEX"
],
... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | What is the average blood albumin level for female patients with a PLT greater than 400 who have been diagnosed with SLE? | SELECT AVG(T2.ALB) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.PLT > 400 AND T1.Diagnosis = 'SLE' AND T1.SEX = 'F' | moderate | {
"gold_sql": "SELECT AVG(T2.ALB) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.PLT > 400 AND T1.Diagnosis = 'SLE' AND T1.SEX = 'F'",
"permission": "allowed",
"query_columns": {
"patient": [
"Diagnosis",
"ID",
"SEX"
],
"laboratory": [
"ALB",
"ID... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | What is the most common sign of patients with SLE disease? | SELECT Symptoms FROM Examination WHERE Diagnosis = 'SLE' GROUP BY Symptoms ORDER BY COUNT(Symptoms) DESC LIMIT 1 | simple | {
"gold_sql": "SELECT Symptoms FROM Examination WHERE Diagnosis = 'SLE' GROUP BY Symptoms ORDER BY COUNT(Symptoms) DESC LIMIT 1",
"permission": "allowed",
"query_columns": {
"examination": [
"Diagnosis",
"Symptoms"
]
},
"missing_columns": {},
"reason": "All required columns are permitted... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | When was the medical information on patient number 48473 first documented, and what disease did she have? | Sorry, I cannot answer. | simple | {
"gold_sql": "SELECT `First Date`, Diagnosis FROM Patient WHERE ID = 48473",
"permission": "denied",
"query_columns": {
"patient": [
"Diagnosis",
"First Date",
"ID"
]
},
"missing_columns": {
"patient": [
"First Date"
]
},
"reason": "Missing column permissions: pati... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | How many female patients were given an APS diagnosis? | SELECT COUNT(ID) FROM Patient WHERE SEX = 'F' AND Diagnosis = 'APS' | simple | {
"gold_sql": "SELECT COUNT(ID) FROM Patient WHERE SEX = 'F' AND Diagnosis = 'APS'",
"permission": "allowed",
"query_columns": {
"patient": [
"Diagnosis",
"ID",
"SEX"
]
},
"missing_columns": {},
"reason": "All required columns are permitted",
"question_id": 1198,
"evidence": "f... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | How many patients who underwent testing in 1997 had protein levels outside the normal range? | Sorry, I cannot answer. | simple | {
"gold_sql": "SELECT COUNT(DISTINCT ID) AS abnormal_protein_patient_count\nFROM Laboratory\nWHERE \n (TP <= 6.0 OR TP >= 8.5) \n AND STRFTIME('%Y', Date) = '1997';",
"permission": "denied",
"query_columns": {
"laboratory": [
"ID",
"TP"
]
},
"missing_columns": {
"laboratory": [
... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | What proportion of patients who had signs of thrombocytopenia had SLE diagnosed? | SELECT
CAST(SUM(CASE WHEN Diagnosis LIKE '%SLE%' THEN 1 ELSE 0 END) AS REAL) * 100 / NULLIF(COUNT(DISTINCT ID), 0) AS proportion
FROM Examination
WHERE Symptoms = 'thrombocytopenia'; | moderate | {
"gold_sql": "SELECT \n CAST(SUM(CASE WHEN Diagnosis LIKE '%SLE%' THEN 1 ELSE 0 END) AS REAL) * 100 / NULLIF(COUNT(DISTINCT ID), 0) AS proportion\nFROM Examination \nWHERE Symptoms = 'thrombocytopenia';",
"permission": "allowed",
"query_columns": {
"examination": [
"Diagnosis",
"ID",
"Sy... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | What percentage of patients who were born in 1980 and were diagnosed with RA are women? | SELECT CAST(SUM(CASE WHEN SEX = 'F' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(ID) FROM Patient WHERE Diagnosis = 'RA' AND STRFTIME('%Y', Birthday) = '1980' | moderate | {
"gold_sql": "SELECT CAST(SUM(CASE WHEN SEX = 'F' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(ID) FROM Patient WHERE Diagnosis = 'RA' AND STRFTIME('%Y', Birthday) = '1980'",
"permission": "allowed",
"query_columns": {
"patient": [
"Birthday",
"Diagnosis",
"ID",
"SEX"
]
},
"missi... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | How many male patients who underwent testing between 1995 and 1997 and were subsequently diagnosed with Behcet disease did not stay in the hospital for treatment? | Sorry, I cannot answer. | challenging | {
"gold_sql": "SELECT COUNT(T1.ID) FROM Patient AS T1 INNER JOIN Examination AS T2 ON T1.ID = T2.ID WHERE T2.Diagnosis = 'Behcet' AND T1.SEX = 'M' AND STRFTIME('%Y', T2.`Examination Date`) BETWEEN '1995' AND '1997' AND T1.Admission = '-'",
"permission": "denied",
"query_columns": {
"patient": [
"Admissi... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | How many patients who were female got white blood cells that were below 3.5? | SELECT COUNT(T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.WBC < 3.5 AND T1.SEX = 'F' | simple | {
"gold_sql": "SELECT COUNT(T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.WBC < 3.5 AND T1.SEX = 'F'",
"permission": "allowed",
"query_columns": {
"patient": [
"ID",
"SEX"
],
"laboratory": [
"ID",
"WBC"
]
},
"missing_columns": {},
"re... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | How long did it take after patient number 821298 arrived at the hospital for the first time before her first evaluation began? | Sorry, I cannot answer. | simple | {
"gold_sql": "SELECT MIN(JULIANDAY(T3.`Examination Date`)) - JULIANDAY(T1.`First Date`) FROM Patient AS T1 INNER JOIN Examination AS T3 ON T1.ID = T3.ID WHERE T1.ID = 821298",
"permission": "denied",
"query_columns": {
"patient": [
"First Date",
"ID"
],
"examination": [
"Examination... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | Was the patient with the number 57266's uric acid within a normal range? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT CASE WHEN (T1.SEX = 'F' AND T2.UA > 6.5) OR (T1.SEX = 'M' AND T2.UA > 8.0) THEN true ELSE false END FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T1.ID = 57266",
"permission": "denied",
"query_columns": {
"patient": [
"ID",
"SEX"
],
"laboratory... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | When is the laboratory examination of patient '48473' where his/her AST glutamic oxaloacetic transaminase (GOT) index is above the normal range. | SELECT Date FROM Laboratory WHERE ID = 48473 AND GOT >= 60 | simple | {
"gold_sql": "SELECT Date FROM Laboratory WHERE ID = 48473 AND GOT >= 60",
"permission": "allowed",
"query_columns": {
"laboratory": [
"GOT",
"ID"
]
},
"missing_columns": {},
"reason": "All required columns are permitted",
"question_id": 1206,
"evidence": "AST glutamic oxaloacetic t... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | List all patients with their sex and date of birthday, whose AST glutamic oxaloacetic transaminase (GOT) index is within normal range for laboratory examination in 1994. | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT DISTINCT T1.SEX, T1.Birthday FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.GOT < 60 AND STRFTIME('%Y', T2.Date) = '1994'",
"permission": "denied",
"query_columns": {
"patient": [
"Birthday",
"ID",
"SEX"
],
"laboratory": [
"Date",... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | Provide IDs for male patients with ALT glutamic pylvic transaminase (GPT) that have history of ALT glutamic pylvic transaminase (GPT) exceed the normal range. | SELECT DISTINCT T1.ID FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T1.SEX = 'M' AND T2.GPT >= 60 | moderate | {
"gold_sql": "SELECT DISTINCT T1.ID FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T1.SEX = 'M' AND T2.GPT >= 60",
"permission": "allowed",
"query_columns": {
"patient": [
"ID",
"SEX"
],
"laboratory": [
"GPT",
"ID"
]
},
"missing_columns": {},
"... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | Please provide the diagnosis of patients with ALT glutamic pylvic transaminase beyond the normal range by ascending order of their date of birth. | SELECT DISTINCT T1.Diagnosis FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.GPT > 60 ORDER BY T1.Birthday ASC | moderate | {
"gold_sql": "SELECT DISTINCT T1.Diagnosis FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.GPT > 60 ORDER BY T1.Birthday ASC",
"permission": "allowed",
"query_columns": {
"patient": [
"Birthday",
"Diagnosis",
"ID"
],
"laboratory": [
"GPT",
"ID"
... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | What is the average index of the lactate dehydrogenase (LDH) for all patients with lactate dehydrogenase (LDH) within the normal range. | SELECT AVG(LDH) FROM Laboratory WHERE LDH < 500 | simple | {
"gold_sql": "SELECT AVG(LDH) FROM Laboratory WHERE LDH < 500",
"permission": "allowed",
"query_columns": {
"laboratory": [
"LDH"
]
},
"missing_columns": {},
"reason": "All required columns are permitted",
"question_id": 1210,
"evidence": "average index of the lactate dehydrogenase (LDH) ... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | Provide the ID and age of patient with lactate dehydrogenase (LDH) between 100-300 index above the normal range. | SELECT DISTINCT T1.ID, STRFTIME('%Y', CURRENT_TIMESTAMP) - STRFTIME('%Y', T1.Birthday) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.LDH > 600 AND T2.LDH < 800 | moderate | {
"gold_sql": "SELECT DISTINCT T1.ID, STRFTIME('%Y', CURRENT_TIMESTAMP) - STRFTIME('%Y', T1.Birthday) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.LDH > 600 AND T2.LDH < 800",
"permission": "allowed",
"query_columns": {
"patient": [
"Birthday",
"ID"
],
"laborato... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | For patients with alkaliphophatase (ALP) within normal range, were they treated as inpatient or outpatient? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT T1.Admission FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.ALP < 300",
"permission": "denied",
"query_columns": {
"patient": [
"Admission",
"ID"
],
"laboratory": [
"ALP",
"ID"
]
},
"missing_columns": {
"patient": [
... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | Name the ID of the patient who is born on the April 1st, 1982. Is his/her alkaliphophatase (ALP) within normal range? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT T1.ID , CASE WHEN T2.ALP < 300 THEN 'normal' ELSE 'abNormal' END FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T1.Birthday = '1982-04-01'",
"permission": "denied",
"query_columns": {
"patient": [
"Birthday",
"ID"
],
"laboratory": [
"ALP",... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | List ID, sex and date of birth of the patient whose total protein (TP) is below the lower range of the normal index. | Sorry, I cannot answer. | simple | {
"gold_sql": "SELECT DISTINCT T1.ID, T1.SEX, T1.Birthday FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.TP < 6.0",
"permission": "denied",
"query_columns": {
"patient": [
"Birthday",
"ID",
"SEX"
],
"laboratory": [
"ID",
"TP"
]
},
"missin... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | For all female patient with total protein (TP) beyond the normal index, what is the deviation of their TP index from the normal? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT T2.TP - 8.5 FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T1.SEX = 'F' AND T2.TP > 8.5",
"permission": "denied",
"query_columns": {
"patient": [
"ID",
"SEX"
],
"laboratory": [
"ID",
"TP"
]
},
"missing_columns": {
"labora... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | Sort in descending order all patients by birthday for male patient with albumin not within range. | SELECT DISTINCT T1.ID FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T1.SEX = 'M' AND (T2.ALB <= 3.5 OR T2.ALB >= 5.5) ORDER BY T1.Birthday DESC | simple | {
"gold_sql": "SELECT DISTINCT T1.ID FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T1.SEX = 'M' AND (T2.ALB <= 3.5 OR T2.ALB >= 5.5) ORDER BY T1.Birthday DESC",
"permission": "allowed",
"query_columns": {
"patient": [
"Birthday",
"ID",
"SEX"
],
"laboratory": [... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | For all patient born in 1982, state if their albumin is within normal range. | SELECT CASE WHEN T2.ALB >= 3.5 AND T2.ALB <= 5.5 THEN 'normal' ELSE 'abnormal' END FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE STRFTIME('%Y', T1.Birthday) = '1982' | moderate | {
"gold_sql": "SELECT CASE WHEN T2.ALB >= 3.5 AND T2.ALB <= 5.5 THEN 'normal' ELSE 'abnormal' END FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE STRFTIME('%Y', T1.Birthday) = '1982'",
"permission": "allowed",
"query_columns": {
"patient": [
"Birthday",
"ID"
],
"labor... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | What is the percentage of the female patient whose uric acid (UA) beyond the normal range? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT CAST(SUM(CASE WHEN T2.UA > 6.5 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T1.SEX = 'F'",
"permission": "denied",
"query_columns": {
"patient": [
"ID",
"SEX"
],
"laboratory": [
"ID",
... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | For all patients with normal uric acid (UA), what is the average UA index based on their latest laboratory examination result? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT AVG(T2.UA) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE (T2.UA < 6.5 AND T1.SEX = 'F') OR (T2.UA < 8.0 AND T1.SEX = 'M') AND T2.Date = ( SELECT MAX(Date) FROM Laboratory )",
"permission": "denied",
"query_columns": {
"patient": [
"ID",
"SEX"
],
... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | Provide all ID, sex and birthday of patients whose urea nitrogen (UN) just within the borderline of passing? | SELECT DISTINCT T1.ID, T1.SEX, T1.Birthday FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.UN = 29 | simple | {
"gold_sql": "SELECT DISTINCT T1.ID, T1.SEX, T1.Birthday FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.UN = 29",
"permission": "allowed",
"query_columns": {
"patient": [
"Birthday",
"ID",
"SEX"
],
"laboratory": [
"ID",
"UN"
]
},
"missin... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | Provide the ID, sex, birthday of all patients diagnosed with 'RA' that are within the UN normal index. | SELECT DISTINCT T1.ID, T1.SEX, T1.Birthday FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.UN < 30 AND T1.Diagnosis = 'RA' | simple | {
"gold_sql": "SELECT DISTINCT T1.ID, T1.SEX, T1.Birthday FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.UN < 30 AND T1.Diagnosis = 'RA'",
"permission": "allowed",
"query_columns": {
"patient": [
"Birthday",
"Diagnosis",
"ID",
"SEX"
],
"laboratory": [
... |
thrombosis_prediction | ##Instruction:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Database: thrombosis_prediction
Total Tables: 3
Total Columns: 64
Table Schemas:
Table: Examination (13 columns)
-------------------------------
• ID (integer): identification of the patient
• Examination Date (date): Ex... | DataOperator_3 | {
"Examination": [
"*"
],
"Laboratory": [
"ALB",
"APTT",
"C3",
"C4",
"CENTROMEA",
"CPK",
"CRE",
"DNA",
"DNA-II",
"FG",
"GLU",
"GOT",
"GPT",
"HCT",
"HGB",
"ID",
"IGA",
"IGM",
"LDH",
"PIC",
"PLT",
"PT",
"RBC",
"RF",
... | How many male patients have creatinine index out of the normal range? | SELECT COUNT(DISTINCT T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.CRE >= 1.5 AND T1.SEX = 'M' | simple | {
"gold_sql": "SELECT COUNT(DISTINCT T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.CRE >= 1.5 AND T1.SEX = 'M'",
"permission": "allowed",
"query_columns": {
"patient": [
"ID",
"SEX"
],
"laboratory": [
"CRE",
"ID"
]
},
"missing_columns":... |
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