id
stringlengths 36
36
| db_id
stringclasses 6
values | question
stringlengths 28
113
| target_sql
stringlengths 35
411
| task_type
stringclasses 3
values | difficulty
stringclasses 3
values | template_type
stringclasses 18
values | num_turns
int64 2
6
| has_schema_exploration
bool 2
classes | has_error_recovery
bool 2
classes | messages
listlengths 5
13
|
|---|---|---|---|---|---|---|---|---|---|---|
78ef6ec4-e33f-4270-b8f6-a3f0c25de328
|
city_library
|
List loans that have not been returned yet.
|
SELECT loan_id, book_id, member_id, loan_date, due_date FROM Loans WHERE return_date IS NULL;
|
Querying
|
easy
|
null_check
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "List loans that have not been returned yet."
},
{
"role": "assistant",
"content": "Thought: Let me explore the database tables before constructing my query.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_city_library\n----------------------\nAuthors\nBookAuthors\nBooks\nGenres\nLoans\nMembers\nPublishers"
},
{
"role": "assistant",
"content": "Thought: I need to check for NULL values.\nAction: execute_sql\n```sql\nSELECT loan_id, book_id, member_id, loan_date, due_date FROM Loans WHERE return_date IS NULL;\n```"
},
{
"role": "user",
"content": "Observation:\nloan_id | book_id | member_id | loan_date | due_date\n----------------------------------------------------\n1 | 112 | 74 | 2025-09-27 | 2025-10-11\n3 | 37 | 80 | 2025-04-30 | 2025-05-14\n4 | 135 | 34 | 2026-01-13 | 2026-01-27\n5 | 11 | 15 | 2025-10-27 | 2025-11-10\n7 | 88 | 39 | 2026-01-22 | 2026-02-05\n9 | 12 | 28 | 2025-04-22 | 2025-05-06\n13 | 17 | 38 | 2025-06-29 | 2025-07-13\n19 | 195 | 59 | 2025-05-27 | 2025-06-10\n20 | 134 | 38 | 2025-03-06 | 2025-03-20\n22 | 85 | 73 | 2025-10-09 | 2025-10-23\n25 | 45 | 25 | 2025-09-12 | 2025-09-26\n26 | 200 | 29 | 2025-03-03 | 2025-03-17\n30 | 102 | 82 | 2025-04-06 | 2025-04-20\n32 | 165 | 57 | 2026-01-30 | 2026-02-13\n35 | 93 | 84 | 2025-04-06 | 2025-04-20\n41 | 140 | 87 | 2026-01-20 | 2026-02-03\n42 | 170 | 35 | 2025-03-30 | 2025-04-13\n44 | 105 | 81 | 2025-10-30 | 2025-11-13\n49 | 139 | 20 | 2025-05-18 | 2025-06-01\n52 | 123 | 97 | 2025-08-16 | 2025-08-30\n... (104 rows total, showing first 20)"
},
{
"role": "assistant",
"content": "Thought: The SQL query returned the expected output. Here's the answer.\nAnswer: The query found 104 matching records. The first 20 are shown above."
}
] |
d0a07207-dfbd-42e4-bf7a-c53a42d3e375
|
university_academic
|
What are the top 1 courses with the most credits?
|
SELECT course_title, credits FROM Courses ORDER BY credits DESC LIMIT 1;
|
Querying
|
easy
|
ordering_limit
| 4
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "What are the top 1 courses with the most credits?"
},
{
"role": "assistant",
"content": "Thought: Before writing any queries, I should explore what tables exist in this database.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_university_academic\n-----------------------------\nClassrooms\nCoursePrerequisites\nCourses\nDepartments\nInstructors\nSemesters\nStudentEnrollments\nStudents\nTeachingAssignments"
},
{
"role": "assistant",
"content": "Thought: Let me inspect the `Courses` table structure to plan my query.\nAction: execute_sql\n```sql\nDESCRIBE Courses;\n```"
},
{
"role": "user",
"content": "Observation:\nField | Type | Null | Key | Default | Extra\n-------------------------------------------\ncourse_id | int | NO | PRI | NULL | \ncourse_code | varchar(20) | NO | UNI | NULL | \ncourse_title | varchar(255) | NO | | NULL | \ncredits | int | YES | | NULL | \ndepartment_id | int | YES | MUL | NULL | "
},
{
"role": "assistant",
"content": "Thought: I need to query the `Courses` table to answer this. I'll sort and take the top results.\nAction: execute_sql\n```sql\nSELECT course_title, credits FROM Courses ORDER BY credits DESC LIMIT 1;\n```"
},
{
"role": "user",
"content": "Observation:\ncourse_title | credits\n----------------------\nGrow Killer E-Business | 4"
},
{
"role": "assistant",
"content": "Thought: The query completed and I have the data needed to answer the question.\nAnswer: One record was found — see the details in the output above."
}
] |
60c27a38-6f73-4144-86cb-b68748439afd
|
hospital_management
|
Which doctors have more than 5 appointments?
|
SELECT T2.first_name, T2.last_name, COUNT(T1.appointment_id) AS apt_count FROM Appointments AS T1 JOIN Doctors AS T2 ON T1.doctor_id = T2.doctor_id GROUP BY T2.doctor_id HAVING COUNT(T1.appointment_id) > 5;
|
Analysis
|
medium
|
group_by_having
| 3
| false
| true
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Which doctors have more than 5 appointments?"
},
{
"role": "assistant",
"content": "Thought: Let me write the query based on what I've learned about the schema.\nAction: execute_sql\n```sql\nSELECT T2.first_name, T2.last_name, COUNT(T1.appointment_id) AS apt_count FORM Appointments AS T1 JOIN Doctors AS T2 ON T1.doctor_id = T2.doctor_id GROUP BY T2.doctor_id HAVING COUNT(T1.appointment_id) > 5;\n```"
},
{
"role": "user",
"content": "Observation:\nERROR: near \"FORM\": syntax error"
},
{
"role": "assistant",
"content": "Thought: The query has a syntax issue. I'll correct the SQL syntax and try again.\nAction: execute_sql\n```sql\nSELECT T2.first_name, T2.last_name, COUNT(T1.appointment_id) AS apt_count FROM Appointments AS T1 JOIN Doctors AS T2 ON T1.doctor_id = T2.doctor_id GROUP BY T2.doctor_id HAVING COUNT(T1.appointment_id) > 5;\n```"
},
{
"role": "user",
"content": "Observation:\nfirst_name | last_name | apt_count\n----------------------------------\nHailey | Woods | 6\nMelissa | Henry | 7\nCarl | Ho | 7\nKevin | Carey | 7\nJennifer | Martinez | 6\nKyle | Mack | 7\nBrianna | Alvarez | 6"
},
{
"role": "assistant",
"content": "Thought: The query executed successfully and returned the results.\nAnswer: I identified 7 matching entries, displayed above."
}
] |
3df92c37-9bfd-4f3a-b54c-63bdc3ff4564
|
city_library
|
Register a new member: Sean Campos, email sean.campos@library.com, standard membership.
|
INSERT INTO Members (first_name, last_name, email, membership_type, join_date) VALUES ('Sean', 'Campos', 'sean.campos@library.com', 'standard', '2026-02-07');
|
Updating
|
easy
|
insert
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Register a new member: Sean Campos, email sean.campos@library.com, standard membership."
},
{
"role": "assistant",
"content": "Thought: I should examine the available tables to plan my query strategy.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_city_library\n----------------------\nAuthors\nBookAuthors\nBooks\nGenres\nLoans\nMembers\nPublishers"
},
{
"role": "assistant",
"content": "Thought: Let me add this data to the database.\nAction: execute_sql\n```sql\nINSERT INTO Members (first_name, last_name, email, membership_type, join_date) VALUES ('Sean', 'Campos', 'sean.campos@library.com', 'standard', '2026-02-07');\n```"
},
{
"role": "user",
"content": "Observation:\nQuery executed successfully. Rows affected: 1"
},
{
"role": "assistant",
"content": "Thought: The database operation was executed successfully.\nAnswer: The operation has been executed and the changes are applied."
}
] |
aca2ded3-220e-4b1f-a0cb-845b161f98d2
|
company_hr
|
Find departments that have at least one active project.
|
SELECT T1.department_name FROM Departments AS T1 WHERE EXISTS (SELECT 1 FROM Projects AS T2 WHERE T1.department_id = T2.department_id AND T2.status = 'active');
|
Querying
|
medium
|
subquery_exists
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Find departments that have at least one active project."
},
{
"role": "assistant",
"content": "Thought: I need to query the `Departments` table to answer this. A subquery will help filter the results.\nAction: execute_sql\n```sql\nSELECT T1.department_name FROM Departments AS T1 WHERE EXISTS (SELECT 1 FROM Projects AS T2 WHERE T1.department_id = T2.department_id AND T2.status = 'active');\n```"
},
{
"role": "user",
"content": "Observation:\ndepartment_name\n---------------\nEngineering\nMarketing\nSales\nFinance\nHuman Resources\nLegal\nOperations"
},
{
"role": "assistant",
"content": "Thought: The query completed and I have the data needed to answer the question.\nAnswer: The query returned 7 results — see the list above."
}
] |
f5fe1efd-79bb-4803-9105-488e5c047a81
|
music_streaming
|
Which albums have more than 6 tracks?
|
SELECT T2.album_title, COUNT(T1.track_id) AS track_count FROM Tracks AS T1 JOIN Albums AS T2 ON T1.album_id = T2.album_id GROUP BY T2.album_id HAVING COUNT(T1.track_id) > 6;
|
Analysis
|
medium
|
group_by_having
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Which albums have more than 6 tracks?"
},
{
"role": "assistant",
"content": "Thought: I'll begin by listing the tables to understand what data is available.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_music_streaming\n-------------------------\nAlbums\nArtists\nPlayHistory\nPlaylistTracks\nPlaylists\nTracks\nUsers"
},
{
"role": "assistant",
"content": "Thought: A GROUP BY with HAVING filter will give the right answer. A COUNT function will give the answer.\nAction: execute_sql\n```sql\nSELECT T2.album_title, COUNT(T1.track_id) AS track_count FROM Tracks AS T1 JOIN Albums AS T2 ON T1.album_id = T2.album_id GROUP BY T2.album_id HAVING COUNT(T1.track_id) > 6;\n```"
},
{
"role": "user",
"content": "Observation:\nalbum_title | track_count\n-------------------------\nRealigned local website | 7\nProfit-focused exuding hierarchy | 9\nImplemented stable monitoring | 8\nMulti-channeled real-time monitoring | 10\nTeam-oriented bandwidth-monitored protocol | 8\nFront-line 5thgeneration core | 7\nExtended client-driven portal | 8\nDistributed foreground toolset | 9\nSynergistic zero tolerance monitoring | 7\nOpen-architected mission-critical parallelism | 7\nProgrammable transitional emulation | 11\nConfigurable value-added forecast | 8\nUser-centric stable moderator | 8\nBalanced real-time knowledge user | 10\nSelf-enabling non-volatile infrastructure | 7\nAutomated maximized process improvement | 8\nManaged exuding help-desk | 9"
},
{
"role": "assistant",
"content": "Thought: The results are in. I can now formulate my answer.\nAnswer: I identified 17 matching entries, displayed above."
}
] |
788e52f3-3199-4e09-b0c9-da54729790e1
|
hospital_management
|
Find medications prescribed by Emergency Physicians.
|
SELECT DISTINCT T4.medication_name FROM Appointments AS T1 JOIN Doctors AS T2 ON T1.doctor_id = T2.doctor_id JOIN Prescriptions AS T3 ON T1.appointment_id = T3.appointment_id JOIN Medications AS T4 ON T3.medication_id = T4.medication_id WHERE T2.specialization = 'Emergency Physician';
|
Analysis
|
medium
|
complex_join
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Find medications prescribed by Emergency Physicians."
},
{
"role": "assistant",
"content": "Thought: Let me write the query to answer this question.\nAction: execute_sql\n```sql\nSELECT DISTINCT T4.medication_name FROM Appointments AS T1 JOIN Doctors AS T2 ON T1.doctor_id = T2.doctor_id JOIN Prescriptions AS T3 ON T1.appointment_id = T3.appointment_id JOIN Medications AS T4 ON T3.medication_id = T4.medication_id WHERE T2.specialization = 'Emergency Physician';\n```"
},
{
"role": "user",
"content": "Observation:\nmedication_name\n---------------\nLisinopril\nAtorvastatin\nOmeprazole"
},
{
"role": "assistant",
"content": "Thought: The query executed successfully and returned the results.\nAnswer: I found 3 matching records, listed in the output above."
}
] |
95311c29-7b3c-4370-8d07-1e66b510a1d7
|
online_retail
|
Categorize orders by status: active (pending/shipped) vs completed vs cancelled.
|
SELECT order_id, total_amount, CASE WHEN status IN ('pending','shipped') THEN 'Active' WHEN status = 'delivered' THEN 'Completed' ELSE 'Cancelled' END AS order_category FROM Orders;
|
Analysis
|
medium
|
case_statement
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Categorize orders by status: active (pending/shipped) vs completed vs cancelled."
},
{
"role": "assistant",
"content": "Thought: Let me start by checking which tables are available in the database.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_online_retail\n-----------------------\nCategories\nCoupons\nCustomers\nOrderItems\nOrders\nProducts\nReviews"
},
{
"role": "assistant",
"content": "Thought: I'll use a subquery to narrow down the data. A CASE statement will categorize the results.\nAction: execute_sql\n```sql\nSELECT order_id, total_amount, CASE WHEN status IN ('pending','shipped') THEN 'Active' WHEN status = 'delivered' THEN 'Completed' ELSE 'Cancelled' END AS order_category FROM Orders;\n```"
},
{
"role": "user",
"content": "Observation:\norder_id | total_amount | order_category\n----------------------------------------\n1 | 252.27 | Active\n2 | 623.57 | Completed\n3 | 58.43 | Active\n4 | 656.74 | Active\n5 | 855.29 | Active\n6 | 337.8 | Completed\n7 | 117.8 | Active\n8 | 675.37 | Active\n9 | 966.63 | Active\n10 | 932.17 | Completed\n11 | 329.59 | Completed\n12 | 760.86 | Active\n13 | 299.9 | Active\n14 | 697.67 | Active\n15 | 531.78 | Completed\n16 | 698.87 | Active\n17 | 118.21 | Active\n18 | 488.83 | Active\n19 | 432.78 | Completed\n20 | 530.14 | Completed\n... (200 rows total, showing first 20)"
},
{
"role": "assistant",
"content": "Thought: The SQL query returned the expected output. Here's the answer.\nAnswer: There are 200 results in total (first 20 displayed above)."
}
] |
8357934b-e82d-4dbb-b14b-af742ac086cf
|
university_academic
|
List the rooms in 'Arts Wing' with a seating capacity exceeding 121.
|
SELECT room_number, capacity FROM Classrooms WHERE building_name = 'Arts Wing' AND capacity > 121;
|
Querying
|
easy
|
simple_filter
| 4
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "List the rooms in 'Arts Wing' with a seating capacity exceeding 121."
},
{
"role": "assistant",
"content": "Thought: I should examine the available tables to plan my query strategy.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_university_academic\n-----------------------------\nClassrooms\nCoursePrerequisites\nCourses\nDepartments\nInstructors\nSemesters\nStudentEnrollments\nStudents\nTeachingAssignments"
},
{
"role": "assistant",
"content": "Thought: I should check `Classrooms`'s column definitions to write an accurate query.\nAction: execute_sql\n```sql\nDESCRIBE Classrooms;\n```"
},
{
"role": "user",
"content": "Observation:\nField | Type | Null | Key | Default | Extra\n-------------------------------------------\nclassroom_id | int | NO | PRI | NULL | \nbuilding_name | varchar(255) | NO | MUL | NULL | \nroom_number | varchar(50) | NO | | NULL | \ncapacity | int | YES | | NULL | "
},
{
"role": "assistant",
"content": "Thought: I need to query the `Classrooms` table to answer this.\nAction: execute_sql\n```sql\nSELECT room_number, capacity FROM Classrooms WHERE building_name = 'Arts Wing' AND capacity > 121;\n```"
},
{
"role": "user",
"content": "Observation:\n(No results returned)"
},
{
"role": "assistant",
"content": "Thought: The query executed successfully and returned the results.\nAnswer: The database has no records matching this query."
}
] |
920806d5-c9c7-43d1-97b9-5c0e58c6dfac
|
university_academic
|
Show all instructors working in 'English'.
|
SELECT T1.first_name, T1.last_name FROM Instructors AS T1 JOIN Departments AS T2 ON T1.department_id = T2.department_id WHERE T2.department_name = 'English';
|
Querying
|
easy
|
join_basic
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Show all instructors working in 'English'."
},
{
"role": "assistant",
"content": "Thought: I'll need to combine data from `Departments` and `Instructors`.\nAction: execute_sql\n```sql\nSELECT T1.first_name, T1.last_name FROM Instructors AS T1 JOIN Departments AS T2 ON T1.department_id = T2.department_id WHERE T2.department_name = 'English';\n```"
},
{
"role": "user",
"content": "Observation:\nfirst_name | last_name\n----------------------\nAmanda | Dudley\nSharon | Wong\nStephen | Baker\nRyan | Chavez\nSamuel | Holmes\nTanya | House\nMelissa | Moore\nKaren | Jones\nJames | Walters\nChristopher | Henderson\nMichelle | Cherry"
},
{
"role": "assistant",
"content": "Thought: The query completed and I have the data needed to answer the question.\nAnswer: The query returned 11 results — see the list above."
}
] |
b3bcdd97-1bea-4fc3-ac30-e5c2e4286021
|
city_library
|
Register a new member: Eric Tran, email eric.tran@library.com, premium membership.
|
INSERT INTO Members (first_name, last_name, email, membership_type, join_date) VALUES ('Eric', 'Tran', 'eric.tran@library.com', 'premium', '2026-02-07');
|
Updating
|
easy
|
insert
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Register a new member: Eric Tran, email eric.tran@library.com, premium membership."
},
{
"role": "assistant",
"content": "Thought: Let me add this data to the database.\nAction: execute_sql\n```sql\nINSERT INTO Members (first_name, last_name, email, membership_type, join_date) VALUES ('Eric', 'Tran', 'eric.tran@library.com', 'premium', '2026-02-07');\n```"
},
{
"role": "user",
"content": "Observation:\nQuery executed successfully. Rows affected: 1"
},
{
"role": "assistant",
"content": "Thought: The modification query completed successfully.\nAnswer: The database operation was completed successfully."
}
] |
98086bb6-a12d-4a1c-a61f-bb396683a289
|
music_streaming
|
Upgrade user 16's subscription to 'premium'.
|
UPDATE Users SET subscription = 'premium' WHERE user_id = 16;
|
Updating
|
easy
|
update
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Upgrade user 16's subscription to 'premium'."
},
{
"role": "assistant",
"content": "Thought: I'll update the specified record.\nAction: execute_sql\n```sql\nUPDATE Users SET subscription = 'premium' WHERE user_id = 16;\n```"
},
{
"role": "user",
"content": "Observation:\nQuery executed successfully. Rows affected: 1"
},
{
"role": "assistant",
"content": "Thought: The operation was successful and the changes have been applied.\nAnswer: The database operation was completed successfully."
}
] |
70150535-6a1d-4342-a703-a2dca5a8f2ec
|
music_streaming
|
Find artists who have at least one album on the 'Universal' label.
|
SELECT T1.artist_name FROM Artists AS T1 WHERE EXISTS (SELECT 1 FROM Albums AS T2 WHERE T1.artist_id = T2.artist_id AND T2.label = 'Universal');
|
Querying
|
medium
|
subquery_exists
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Find artists who have at least one album on the 'Universal' label."
},
{
"role": "assistant",
"content": "Thought: I'll use a subquery to narrow down the data.\nAction: execute_sql\n```sql\nSELECT T1.artist_name FROM Artists AS T1 WHERE EXISTS (SELECT 1 FROM Albums AS T2 WHERE T1.artist_id = T2.artist_id AND T2.label = 'Universal');\n```"
},
{
"role": "user",
"content": "Observation:\nartist_name\n-----------\nMr. William Hopkins\nJeanne Rose\nBrittany Clements MD\nTammy Davis\nMarissa Bennett\nSharon Santos\nMatthew Richardson\nKatrina Johnson\nLaura Hill\nKatherine Stone\nMichelle Tyler\nCatherine George"
},
{
"role": "assistant",
"content": "Thought: The database returned the results I needed.\nAnswer: I found 12 matching records, listed in the output above."
}
] |
e7ff4389-5457-4eaa-a89e-af9637cecf24
|
online_retail
|
Which products received a review rated 5+?
|
SELECT T1.product_name FROM Products AS T1 WHERE EXISTS (SELECT 1 FROM Reviews AS T2 WHERE T1.product_id = T2.product_id AND T2.rating >= 5);
|
Querying
|
medium
|
subquery_exists
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Which products received a review rated 5+?"
},
{
"role": "assistant",
"content": "Thought: A subquery will help filter the results.\nAction: execute_sql\n```sql\nSELECT T1.product_name FROM Products AS T1 WHERE EXISTS (SELECT 1 FROM Reviews AS T2 WHERE T1.product_id = T2.product_id AND T2.rating >= 5);\n```"
},
{
"role": "user",
"content": "Observation:\nproduct_name\n------------\nAdaptive well-modulated protocol\nCentralized client-server structure\nSynergistic exuding firmware\nDecentralized 24/7 approach\nMulti-layered systemic product\nCompatible 3rdgeneration architecture\nManaged bottom-line analyzer\nFully-configurable secondary frame\nFace-to-face object-oriented website\nEnhanced context-sensitive encoding\nDe-engineered global structure\nTotal object-oriented infrastructure\nOrganic upward-trending instruction set\nAutomated explicit adapter\nImplemented attitude-oriented leverage\nOrganic maximized firmware\nSynergized methodical orchestration\nPhased exuding artificial intelligence\nUniversal 5thgeneration middleware\nDown-sized didactic workforce\n... (27 rows total, showing first 20)"
},
{
"role": "assistant",
"content": "Thought: The database returned the results I needed.\nAnswer: The query found 27 matching records. The first 20 are shown above."
}
] |
c22d19a6-f96b-4c8a-8e60-1b5c25e64f3e
|
company_hr
|
Find the project names assigned to employees in the Tokyo office.
|
SELECT DISTINCT T4.project_name FROM Employees AS T1 JOIN Departments AS T2 ON T1.department_id = T2.department_id JOIN Offices AS T5 ON T2.office_id = T5.office_id JOIN ProjectMembers AS T3 ON T1.employee_id = T3.employee_id JOIN Projects AS T4 ON T3.project_id = T4.project_id WHERE T5.city = 'Tokyo';
|
Analysis
|
medium
|
complex_join
| 4
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Find the project names assigned to employees in the Tokyo office."
},
{
"role": "assistant",
"content": "Thought: I need to first understand the database schema. Let me list all available tables.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_company_hr\n--------------------\nDepartments\nEmployees\nOffices\nPositions\nProjectMembers\nProjects\nSalaries"
},
{
"role": "assistant",
"content": "Thought: I need to understand the `Departments` schema — let me describe it.\nAction: execute_sql\n```sql\nDESCRIBE Departments;\n```"
},
{
"role": "user",
"content": "Observation:\nField | Type | Null | Key | Default | Extra\n-------------------------------------------\ndepartment_id | int | NO | PRI | NULL | \ndepartment_name | varchar(255) | NO | | NULL | \noffice_id | int | YES | MUL | NULL | \nbudget | double | YES | | NULL | "
},
{
"role": "assistant",
"content": "Thought: I'll look at the `Departments` table for this information.\nAction: execute_sql\n```sql\nSELECT DISTINCT T4.project_name FROM Employees AS T1 JOIN Departments AS T2 ON T1.department_id = T2.department_id JOIN Offices AS T5 ON T2.office_id = T5.office_id JOIN ProjectMembers AS T3 ON T1.employee_id = T3.employee_id JOIN Projects AS T4 ON T3.project_id = T4.project_id WHERE T5.city = 'Tokyo';\n```"
},
{
"role": "user",
"content": "Observation:\nproject_name\n------------\nProject Try\nProject Bill\nProject Gun\nProject Finally\nProject Adult\nProject Heart\nProject Song\nProject Far\nProject Hospital\nProject Provide\nProject Yeah\nProject Energy\nProject Share"
},
{
"role": "assistant",
"content": "Thought: I've successfully retrieved the data. Let me present the answer.\nAnswer: I found 13 matching records, listed in the output above."
}
] |
d03cd51a-f09c-41cc-ac5a-2a09c83933ab
|
online_retail
|
Update the price of product 29 to 287.38.
|
UPDATE Products SET price = 287.38 WHERE product_id = 29;
|
Updating
|
easy
|
update
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Update the price of product 29 to 287.38."
},
{
"role": "assistant",
"content": "Thought: I'll begin by listing the tables to understand what data is available.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_online_retail\n-----------------------\nCategories\nCoupons\nCustomers\nOrderItems\nOrders\nProducts\nReviews"
},
{
"role": "assistant",
"content": "Thought: Let me modify the existing data.\nAction: execute_sql\n```sql\nUPDATE Products SET price = 287.38 WHERE product_id = 29;\n```"
},
{
"role": "user",
"content": "Observation:\nQuery executed successfully. Rows affected: 1"
},
{
"role": "assistant",
"content": "Thought: The operation was successful and the changes have been applied.\nAnswer: The modification was successful."
}
] |
35aa0d00-4ee4-41f6-b0bb-b54d7c8fbe44
|
online_retail
|
Delete all cancelled orders.
|
DELETE FROM Orders WHERE status = 'cancelled';
|
Updating
|
easy
|
delete
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Delete all cancelled orders."
},
{
"role": "assistant",
"content": "Thought: Let me start by checking which tables are available in the database.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_online_retail\n-----------------------\nCategories\nCoupons\nCustomers\nOrderItems\nOrders\nProducts\nReviews"
},
{
"role": "assistant",
"content": "Thought: Let me delete the specified rows.\nAction: execute_sql\n```sql\nDELETE FROM Orders WHERE status = 'cancelled';\n```"
},
{
"role": "user",
"content": "Observation:\nQuery executed successfully. Rows affected: 56"
},
{
"role": "assistant",
"content": "Thought: The data has been updated as requested.\nAnswer: The operation has been executed and the changes are applied."
}
] |
dfd85827-2aaa-4d9a-a84f-8aba84c7e133
|
hospital_management
|
Admit a new patient: Benjamin Valenzuela, born 2003-04-28, Male.
|
INSERT INTO Patients (first_name, last_name, date_of_birth, gender, admission_date) VALUES ('Benjamin', 'Valenzuela', '2003-04-28', 'Male', '2026-02-07');
|
Updating
|
easy
|
insert
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Admit a new patient: Benjamin Valenzuela, born 2003-04-28, Male."
},
{
"role": "assistant",
"content": "Thought: Let me explore the database tables before constructing my query.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_hospital_management\n-----------------------------\nAppointments\nDepartments\nDoctors\nMedications\nPatients\nPrescriptions\nRooms"
},
{
"role": "assistant",
"content": "Thought: Let me add this data to the database.\nAction: execute_sql\n```sql\nINSERT INTO Patients (first_name, last_name, date_of_birth, gender, admission_date) VALUES ('Benjamin', 'Valenzuela', '2003-04-28', 'Male', '2026-02-07');\n```"
},
{
"role": "user",
"content": "Observation:\nQuery executed successfully. Rows affected: 1"
},
{
"role": "assistant",
"content": "Thought: The modification query completed successfully.\nAnswer: The operation has been executed and the changes are applied."
}
] |
30c9bcc8-eba0-4a26-89ac-b562cc04b1cb
|
hospital_management
|
How many patients are there in the system?
|
SELECT COUNT(patient_id) FROM Patients;
|
Analysis
|
easy
|
aggregation
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "How many patients are there in the system?"
},
{
"role": "assistant",
"content": "Thought: To approach this question, I first need to see the database schema.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_hospital_management\n-----------------------------\nAppointments\nDepartments\nDoctors\nMedications\nPatients\nPrescriptions\nRooms"
},
{
"role": "assistant",
"content": "Thought: A COUNT function will give the answer.\nAction: execute_sql\n```sql\nSELECT COUNT(patient_id) FROM Patients;\n```"
},
{
"role": "user",
"content": "Observation:\nCOUNT(patient_id)\n-----------------\n150"
},
{
"role": "assistant",
"content": "Thought: The results are in. I can now formulate my answer.\nAnswer: The count is 150."
}
] |
41b8f089-a8dd-4d67-801e-1e49bca82155
|
hospital_management
|
Find patients whose last name starts with 'X'.
|
SELECT first_name, last_name, date_of_birth FROM Patients WHERE last_name LIKE 'X%';
|
Querying
|
easy
|
pattern_matching
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Find patients whose last name starts with 'X'."
},
{
"role": "assistant",
"content": "Thought: I should examine the available tables to plan my query strategy.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_hospital_management\n-----------------------------\nAppointments\nDepartments\nDoctors\nMedications\nPatients\nPrescriptions\nRooms"
},
{
"role": "assistant",
"content": "Thought: A LIKE clause will filter by the pattern.\nAction: execute_sql\n```sql\nSELECT first_name, last_name, date_of_birth FROM Patients WHERE last_name LIKE 'X%';\n```"
},
{
"role": "user",
"content": "Observation:\n(No results returned)"
},
{
"role": "assistant",
"content": "Thought: The SQL query returned the expected output. Here's the answer.\nAnswer: The database has no records matching this query."
}
] |
16ff86b8-4239-4987-88a5-fed8a42b5593
|
online_retail
|
Update the price of product 11 to 178.27.
|
UPDATE Products SET price = 178.27 WHERE product_id = 11;
|
Updating
|
easy
|
update
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Update the price of product 11 to 178.27."
},
{
"role": "assistant",
"content": "Thought: Let me explore the database tables before constructing my query.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_online_retail\n-----------------------\nCategories\nCoupons\nCustomers\nOrderItems\nOrders\nProducts\nReviews"
},
{
"role": "assistant",
"content": "Thought: I'll update the specified record.\nAction: execute_sql\n```sql\nUPDATE Products SET price = 178.27 WHERE product_id = 11;\n```"
},
{
"role": "user",
"content": "Observation:\nQuery executed successfully. Rows affected: 1"
},
{
"role": "assistant",
"content": "Thought: The operation was successful and the changes have been applied.\nAnswer: The database operation was completed successfully."
}
] |
e2986847-2d8c-44a5-8a68-1257d1b57d61
|
university_academic
|
Which departments have more than 1 instructors?
|
SELECT T2.department_name, COUNT(T1.instructor_id) AS instructor_count FROM Instructors AS T1 JOIN Departments AS T2 ON T1.department_id = T2.department_id GROUP BY T2.department_name HAVING COUNT(T1.instructor_id) > 1;
|
Analysis
|
medium
|
group_by_having
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Which departments have more than 1 instructors?"
},
{
"role": "assistant",
"content": "Thought: To answer this, I need to link `Departments` and `Instructors` together. A GROUP BY with HAVING filter will give the right answer. I'll use COUNT to compute the value.\nAction: execute_sql\n```sql\nSELECT T2.department_name, COUNT(T1.instructor_id) AS instructor_count FROM Instructors AS T1 JOIN Departments AS T2 ON T1.department_id = T2.department_id GROUP BY T2.department_name HAVING COUNT(T1.instructor_id) > 1;\n```"
},
{
"role": "user",
"content": "Observation:\ndepartment_name | instructor_count\n----------------------------------\nBiology | 11\nBusiness | 9\nChemistry | 13\nComputer Science | 6\nEconomics | 8\nEnglish | 11\nHistory | 12\nMathematics | 13\nPhysics | 10\nPsychology | 7"
},
{
"role": "assistant",
"content": "Thought: The query executed successfully and returned the results.\nAnswer: The query found 10 results — the details are above."
}
] |
7c11bedd-3a8c-4625-a9db-61a98efc14e0
|
university_academic
|
List the 8 highest-credit courses.
|
SELECT course_title, credits FROM Courses ORDER BY credits DESC LIMIT 8;
|
Querying
|
easy
|
ordering_limit
| 4
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "List the 8 highest-credit courses."
},
{
"role": "assistant",
"content": "Thought: Let me start by checking which tables are available in the database.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_university_academic\n-----------------------------\nClassrooms\nCoursePrerequisites\nCourses\nDepartments\nInstructors\nSemesters\nStudentEnrollments\nStudents\nTeachingAssignments"
},
{
"role": "assistant",
"content": "Thought: I should check `Courses`'s column definitions to write an accurate query.\nAction: execute_sql\n```sql\nDESCRIBE Courses;\n```"
},
{
"role": "user",
"content": "Observation:\nField | Type | Null | Key | Default | Extra\n-------------------------------------------\ncourse_id | int | NO | PRI | NULL | \ncourse_code | varchar(20) | NO | UNI | NULL | \ncourse_title | varchar(255) | NO | | NULL | \ncredits | int | YES | | NULL | \ndepartment_id | int | YES | MUL | NULL | "
},
{
"role": "assistant",
"content": "Thought: This question involves the `Courses` table. I'll sort and take the top results.\nAction: execute_sql\n```sql\nSELECT course_title, credits FROM Courses ORDER BY credits DESC LIMIT 8;\n```"
},
{
"role": "user",
"content": "Observation:\ncourse_title | credits\n----------------------\nGrow Killer E-Business | 4\nEnvisioneer Holistic Solutions | 4\nIterate Granular Functionalities | 4\nExploit End-To-End E-Business | 4\nMatrix E-Business Partnerships | 4\nTransition Intuitive Channels | 4\nMesh B2C Content | 4\nLeverage Granular Vortals | 4"
},
{
"role": "assistant",
"content": "Thought: The SQL query returned the expected output. Here's the answer.\nAnswer: Here are 8 records that match the criteria, shown above."
}
] |
c4722dfd-3921-41a8-a424-135939d8002e
|
hospital_management
|
List doctors in the 'Orthopedics' department.
|
SELECT T1.first_name, T1.last_name, T1.specialization FROM Doctors AS T1 JOIN Departments AS T2 ON T1.department_id = T2.department_id WHERE T2.department_name = 'Orthopedics';
|
Querying
|
easy
|
join_basic
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "List doctors in the 'Orthopedics' department."
},
{
"role": "assistant",
"content": "Thought: This question involves the `Departments` table.\nAction: execute_sql\n```sql\nSELECT T1.first_name, T1.last_name, T1.specialization FROM Doctors AS T1 JOIN Departments AS T2 ON T1.department_id = T2.department_id WHERE T2.department_name = 'Orthopedics';\n```"
},
{
"role": "user",
"content": "Observation:\nfirst_name | last_name | specialization\n---------------------------------------\nCarl | Ho | Cardiologist\nBobby | Moss | Neurologist\nKevin | Carey | Cardiologist\nJennifer | Martinez | Radiologist"
},
{
"role": "assistant",
"content": "Thought: The database returned the results I needed.\nAnswer: I found 4 matching records, listed in the output above."
}
] |
e80324f6-d716-4fe5-a7e9-941f47429679
|
hospital_management
|
Which doctors have more than 2 appointments?
|
SELECT T2.first_name, T2.last_name, COUNT(T1.appointment_id) AS apt_count FROM Appointments AS T1 JOIN Doctors AS T2 ON T1.doctor_id = T2.doctor_id GROUP BY T2.doctor_id HAVING COUNT(T1.appointment_id) > 2;
|
Analysis
|
medium
|
group_by_having
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Which doctors have more than 2 appointments?"
},
{
"role": "assistant",
"content": "Thought: I should examine the available tables to plan my query strategy.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_hospital_management\n-----------------------------\nAppointments\nDepartments\nDoctors\nMedications\nPatients\nPrescriptions\nRooms"
},
{
"role": "assistant",
"content": "Thought: A GROUP BY with HAVING filter will give the right answer. A COUNT function will give the answer.\nAction: execute_sql\n```sql\nSELECT T2.first_name, T2.last_name, COUNT(T1.appointment_id) AS apt_count FROM Appointments AS T1 JOIN Doctors AS T2 ON T1.doctor_id = T2.doctor_id GROUP BY T2.doctor_id HAVING COUNT(T1.appointment_id) > 2;\n```"
},
{
"role": "user",
"content": "Observation:\nfirst_name | last_name | apt_count\n----------------------------------\nJessica | Cannon | 5\nRobert | Jenkins | 3\nSarah | Shannon | 3\nJoshua | Maxwell | 5\nJack | Farmer | 4\nJoseph | Bradley | 4\nJesse | Mcdaniel | 4\nHailey | Woods | 6\nCassandra | Joseph | 3\nMelissa | Henry | 7\nJames | Johnson | 3\nAlexis | Nelson | 3\nJulia | Mcneil | 4\nCarl | Ho | 7\nMichelle | Burns | 4\nBobby | Moss | 5\nLawrence | Carr | 5\nBrittney | Fox | 4\nKristin | Meyer | 5\nApril | Foster | 4\n... (41 rows total, showing first 20)"
},
{
"role": "assistant",
"content": "Thought: The SQL query returned the expected output. Here's the answer.\nAnswer: There are 41 results in total (first 20 displayed above)."
}
] |
671e96cb-1811-4df6-990d-5a1440342fbe
|
company_hr
|
Find employees hired after 2022-01-01.
|
SELECT first_name, last_name, hire_date FROM Employees WHERE hire_date > '2022-01-01';
|
Querying
|
easy
|
date_comparison
| 4
| true
| true
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Find employees hired after 2022-01-01."
},
{
"role": "assistant",
"content": "Thought: I'll begin by listing the tables to understand what data is available.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_company_hr\n--------------------\nDepartments\nEmployees\nOffices\nPositions\nProjectMembers\nProjects\nSalaries"
},
{
"role": "assistant",
"content": "Thought: Based on the schema, I'll construct a query to answer the question.\nAction: execute_sql\n```sql\nSELECT first_name, last_name, hire_date FROM Employees WERE hire_date > '2022-01-01';\n```"
},
{
"role": "user",
"content": "Observation:\nERROR: near \"hire_date\": syntax error"
},
{
"role": "assistant",
"content": "Thought: The query has a syntax issue. I'll correct the SQL syntax and try again.\nAction: execute_sql\n```sql\nSELECT first_name, last_name, hire_date FROM Employees WHERE hire_date > '2022-01-01';\n```"
},
{
"role": "user",
"content": "Observation:\nfirst_name | last_name | hire_date\n----------------------------------\nMegan | Hunt | 2022-07-16\nJanice | Bolton | 2026-02-01\nKaren | Singh | 2025-03-24\nAlan | Evans | 2024-04-29\nRaymond | Perez | 2023-08-05\nThomas | Black | 2023-12-18\nBarbara | Anderson | 2025-07-15\nAlec | Cochran | 2024-06-11\nMatthew | Barnes | 2022-12-17\nMark | Johnson | 2023-12-16\nSandra | Hernandez | 2025-08-18\nMark | Soto | 2022-02-18\nCathy | Camacho | 2025-11-26\nCasey | Friedman | 2024-10-04\nJenna | Wells | 2022-02-20\nLindsey | Fox | 2025-03-16\nJo | Roberts | 2024-11-29\nStephen | Graves | 2023-03-21\nKenneth | Austin | 2024-03-15\nGregory | Wright | 2025-02-06\n... (52 rows total, showing first 20)"
},
{
"role": "assistant",
"content": "Thought: The results are in. I can now formulate my answer.\nAnswer: There are 52 results in total (first 20 displayed above)."
}
] |
45c786c6-adfb-4048-aef8-45625fd8ff40
|
hospital_management
|
List appointments that have no diagnosis recorded.
|
SELECT appointment_id, patient_id, doctor_id, appointment_date FROM Appointments WHERE diagnosis IS NULL;
|
Querying
|
easy
|
null_check
| 3
| false
| true
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "List appointments that have no diagnosis recorded."
},
{
"role": "assistant",
"content": "Thought: Let me try constructing the SQL to answer this.\nAction: execute_sql\n```sql\nSELECT appointment_id, patient_id, doctor_id, appointment_date FROM Appointments WERE diagnosis IS NULL;\n```"
},
{
"role": "user",
"content": "Observation:\nERROR: near \"diagnosis\": syntax error"
},
{
"role": "assistant",
"content": "Thought: The SQL syntax was wrong. I need to fix the statement structure.\nAction: execute_sql\n```sql\nSELECT appointment_id, patient_id, doctor_id, appointment_date FROM Appointments WHERE diagnosis IS NULL;\n```"
},
{
"role": "user",
"content": "Observation:\nappointment_id | patient_id | doctor_id | appointment_date\n----------------------------------------------------------\n8 | 106 | 20 | 2025-11-22\n10 | 65 | 7 | 2025-03-07\n15 | 60 | 2 | 2025-06-16\n33 | 78 | 19 | 2025-05-28\n53 | 38 | 17 | 2025-03-02\n56 | 102 | 46 | 2025-05-13\n60 | 28 | 41 | 2025-11-20\n75 | 2 | 43 | 2026-02-06\n88 | 125 | 26 | 2025-03-08\n90 | 99 | 19 | 2025-02-16\n91 | 37 | 34 | 2025-11-03\n100 | 86 | 15 | 2025-08-01\n104 | 88 | 48 | 2025-06-09\n106 | 81 | 25 | 2025-03-18\n107 | 80 | 4 | 2025-05-05\n109 | 33 | 34 | 2025-02-26\n128 | 3 | 24 | 2025-09-24\n134 | 126 | 20 | 2025-03-14\n139 | 6 | 38 | 2025-02-10\n146 | 17 | 34 | 2025-11-20\n... (23 rows total, showing first 20)"
},
{
"role": "assistant",
"content": "Thought: I got the results from the query. Now I can provide the answer.\nAnswer: There are 23 results in total (first 20 displayed above)."
}
] |
35db127b-db7e-47cc-8aaf-9d98c8f92a7c
|
university_academic
|
Find all classrooms in 'Arts Wing' that have a capacity greater than 134.
|
SELECT room_number, capacity FROM Classrooms WHERE building_name = 'Arts Wing' AND capacity > 134;
|
Querying
|
easy
|
simple_filter
| 4
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Find all classrooms in 'Arts Wing' that have a capacity greater than 134."
},
{
"role": "assistant",
"content": "Thought: Let me explore the database tables before constructing my query.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_university_academic\n-----------------------------\nClassrooms\nCoursePrerequisites\nCourses\nDepartments\nInstructors\nSemesters\nStudentEnrollments\nStudents\nTeachingAssignments"
},
{
"role": "assistant",
"content": "Thought: To use `Classrooms` correctly, I'll first check its column structure.\nAction: execute_sql\n```sql\nDESCRIBE Classrooms;\n```"
},
{
"role": "user",
"content": "Observation:\nField | Type | Null | Key | Default | Extra\n-------------------------------------------\nclassroom_id | int | NO | PRI | NULL | \nbuilding_name | varchar(255) | NO | MUL | NULL | \nroom_number | varchar(50) | NO | | NULL | \ncapacity | int | YES | | NULL | "
},
{
"role": "assistant",
"content": "Thought: I'll look at the `Classrooms` table for this information.\nAction: execute_sql\n```sql\nSELECT room_number, capacity FROM Classrooms WHERE building_name = 'Arts Wing' AND capacity > 134;\n```"
},
{
"role": "user",
"content": "Observation:\n(No results returned)"
},
{
"role": "assistant",
"content": "Thought: I got the results from the query. Now I can provide the answer.\nAnswer: The database has no records matching this query."
}
] |
51a460b1-09e4-47ae-b9fe-b4c489209feb
|
hospital_management
|
Find patients whose last name starts with 'M'.
|
SELECT first_name, last_name, date_of_birth FROM Patients WHERE last_name LIKE 'M%';
|
Querying
|
easy
|
pattern_matching
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Find patients whose last name starts with 'M'."
},
{
"role": "assistant",
"content": "Thought: To approach this question, I first need to see the database schema.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_hospital_management\n-----------------------------\nAppointments\nDepartments\nDoctors\nMedications\nPatients\nPrescriptions\nRooms"
},
{
"role": "assistant",
"content": "Thought: A LIKE clause will filter by the pattern.\nAction: execute_sql\n```sql\nSELECT first_name, last_name, date_of_birth FROM Patients WHERE last_name LIKE 'M%';\n```"
},
{
"role": "user",
"content": "Observation:\nfirst_name | last_name | date_of_birth\n--------------------------------------\nElizabeth | Massey | 1969-09-06\nCourtney | Mcclain | 1988-07-10\nMary | Morgan | 1975-10-01\nJames | Mclean | 2003-12-19\nJoseph | Moore | 1955-02-23\nSuzanne | Miller | 2003-10-15\nDouglas | Mack | 1963-05-11\nMary | Mcguire | 2006-06-24\nDavid | Moreno | 1953-08-30\nSarah | Moore | 2022-09-29\nTracy | Morrison | 1986-07-08\nAlyssa | Mayer | 1986-09-13\nRandy | Mills | 1999-07-20\nDonna | Meyer | 1984-12-26\nAndrew | Martin | 1958-02-22\nHannah | Miller | 1984-04-02\nDonna | May | 2017-05-27\nMaria | Miller | 1951-01-07"
},
{
"role": "assistant",
"content": "Thought: The query completed and I have the data needed to answer the question.\nAnswer: I found 18 matching records, listed in the output above."
}
] |
74697ffb-8c8f-4a9a-b12d-1d53ae5da6ff
|
music_streaming
|
What is the average track duration for Folk artists?
|
SELECT AVG(T3.duration_sec) AS avg_duration FROM Artists AS T1 JOIN Albums AS T2 ON T1.artist_id = T2.artist_id JOIN Tracks AS T3 ON T2.album_id = T3.album_id WHERE T1.genre = 'Folk';
|
Analysis
|
hard
|
multi_table_aggregation
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "What is the average track duration for Folk artists?"
},
{
"role": "assistant",
"content": "Thought: I'll use AVG to compute the value.\nAction: execute_sql\n```sql\nSELECT AVG(T3.duration_sec) AS avg_duration FROM Artists AS T1 JOIN Albums AS T2 ON T1.artist_id = T2.artist_id JOIN Tracks AS T3 ON T2.album_id = T3.album_id WHERE T1.genre = 'Folk';\n```"
},
{
"role": "user",
"content": "Observation:\navg_duration\n------------\n279.4347826086956"
},
{
"role": "assistant",
"content": "Thought: The database returned the results I needed.\nAnswer: The mean comes out to 279.4347826086956."
}
] |
f1d0a000-331f-4397-808a-1335baab0f09
|
university_academic
|
Count the number of courses in the 'Biology' department.
|
SELECT COUNT(T1.course_id) FROM Courses AS T1 JOIN Departments AS T2 ON T1.department_id = T2.department_id WHERE T2.department_name = 'Biology';
|
Analysis
|
easy
|
aggregation
| 5
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Count the number of courses in the 'Biology' department."
},
{
"role": "assistant",
"content": "Thought: First, I'll look at the database structure to identify the relevant tables.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_university_academic\n-----------------------------\nClassrooms\nCoursePrerequisites\nCourses\nDepartments\nInstructors\nSemesters\nStudentEnrollments\nStudents\nTeachingAssignments"
},
{
"role": "assistant",
"content": "Thought: I need to understand the `Departments` schema — let me describe it.\nAction: execute_sql\n```sql\nDESCRIBE Departments;\n```"
},
{
"role": "user",
"content": "Observation:\nField | Type | Null | Key | Default | Extra\n-------------------------------------------\ndepartment_id | int | NO | PRI | NULL | \ndepartment_name | varchar(255) | NO | UNI | NULL | \noffice_location | varchar(255) | YES | | NULL | "
},
{
"role": "assistant",
"content": "Thought: Let me inspect the `Courses` table structure to plan my query.\nAction: execute_sql\n```sql\nDESCRIBE Courses;\n```"
},
{
"role": "user",
"content": "Observation:\nField | Type | Null | Key | Default | Extra\n-------------------------------------------\ncourse_id | int | NO | PRI | NULL | \ncourse_code | varchar(20) | NO | UNI | NULL | \ncourse_title | varchar(255) | NO | | NULL | \ncredits | int | YES | | NULL | \ndepartment_id | int | YES | MUL | NULL | "
},
{
"role": "assistant",
"content": "Thought: I'll need to combine data from `Departments` and `Courses`. I'll use COUNT to compute the value.\nAction: execute_sql\n```sql\nSELECT COUNT(T1.course_id) FROM Courses AS T1 JOIN Departments AS T2 ON T1.department_id = T2.department_id WHERE T2.department_name = 'Biology';\n```"
},
{
"role": "user",
"content": "Observation:\nCOUNT(T1.course_id)\n-------------------\n12"
},
{
"role": "assistant",
"content": "Thought: The query executed successfully and returned the results.\nAnswer: The total count is 12."
}
] |
f756a059-d74c-46c4-b139-294b4ea46166
|
city_library
|
List all books in the 'Science' genre.
|
SELECT T1.title, T1.publish_year FROM Books AS T1 JOIN Genres AS T2 ON T1.genre_id = T2.genre_id WHERE T2.genre_name = 'Science';
|
Querying
|
easy
|
join_basic
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "List all books in the 'Science' genre."
},
{
"role": "assistant",
"content": "Thought: Let me write the query to answer this question.\nAction: execute_sql\n```sql\nSELECT T1.title, T1.publish_year FROM Books AS T1 JOIN Genres AS T2 ON T1.genre_id = T2.genre_id WHERE T2.genre_name = 'Science';\n```"
},
{
"role": "user",
"content": "Observation:\ntitle | publish_year\n--------------------\nPersistent executive knowledge user | 1978\nFront-line context-sensitive leverage | 2007\nOpen-source multi-state leverage | 1984\nStreamlined leadingedge interface | 1959\nFully-configurable mission-critical database | 1998\nImplemented fault-tolerant structure | 1973\nUp-sized multimedia synergy | 2012\nCloned global definition | 2024\nCloned encompassing neural-net | 1999\nReverse-engineered didactic policy | 1967\nPre-emptive exuding open system | 2012\nVision-oriented secondary core | 2011\nRight-sized encompassing methodology | 2015\nMandatory even-keeled service-desk | 2013\nSwitchable cohesive Graphic Interface | 2002\nMulti-channeled secondary workforce | 2000\nPolarized uniform parallelism | 2008\nPhased 6thgeneration time-frame | 1950"
},
{
"role": "assistant",
"content": "Thought: The SQL query returned the expected output. Here's the answer.\nAnswer: I found 18 matching records, listed in the output above."
}
] |
e5c59b20-72e0-485f-bc9b-546fc8771dbd
|
city_library
|
Which authors have written more than 2 books?
|
SELECT T2.first_name, T2.last_name, COUNT(T1.book_id) AS book_count FROM BookAuthors AS T1 JOIN Authors AS T2 ON T1.author_id = T2.author_id GROUP BY T2.author_id HAVING COUNT(T1.book_id) > 2;
|
Analysis
|
medium
|
group_by_having
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Which authors have written more than 2 books?"
},
{
"role": "assistant",
"content": "Thought: Let me explore the database tables before constructing my query.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_city_library\n----------------------\nAuthors\nBookAuthors\nBooks\nGenres\nLoans\nMembers\nPublishers"
},
{
"role": "assistant",
"content": "Thought: A GROUP BY with HAVING filter will give the right answer. I'll use COUNT to compute the value.\nAction: execute_sql\n```sql\nSELECT T2.first_name, T2.last_name, COUNT(T1.book_id) AS book_count FROM BookAuthors AS T1 JOIN Authors AS T2 ON T1.author_id = T2.author_id GROUP BY T2.author_id HAVING COUNT(T1.book_id) > 2;\n```"
},
{
"role": "user",
"content": "Observation:\nfirst_name | last_name | book_count\n-----------------------------------\nStephanie | Scott | 5\nDenise | Andrade | 9\nMary | Hamilton | 5\nDarren | Lee | 7\nJose | Turner | 3\nWillie | Dickerson | 3\nJohn | Lindsey | 6\nNicholas | Kennedy | 6\nKathleen | Kim | 6\nJulie | Osborne | 8\nJoshua | Powers | 7\nCassandra | Browning | 5\nErika | Nelson | 3\nRichard | Smith | 5\nRobert | Anderson | 3\nJoseph | George | 7\nTheresa | Flores | 4\nJeffrey | Smith | 9\nMark | Brown | 6\nKeith | Joseph | 3\n... (47 rows total, showing first 20)"
},
{
"role": "assistant",
"content": "Thought: The query executed successfully and returned the results.\nAnswer: The database returned 47 records matching the criteria."
}
] |
44c6cb63-ca30-422b-98c2-1c44a967858f
|
online_retail
|
Register a new customer: Heather Jones, email heather.jones@shop.com, city Chicago.
|
INSERT INTO Customers (first_name, last_name, email, city, registration_date) VALUES ('Heather', 'Jones', 'heather.jones@shop.com', 'Chicago', '2025-07-16');
|
Updating
|
easy
|
insert
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Register a new customer: Heather Jones, email heather.jones@shop.com, city Chicago."
},
{
"role": "assistant",
"content": "Thought: First, I'll look at the database structure to identify the relevant tables.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_online_retail\n-----------------------\nCategories\nCoupons\nCustomers\nOrderItems\nOrders\nProducts\nReviews"
},
{
"role": "assistant",
"content": "Thought: Let me add this data to the database.\nAction: execute_sql\n```sql\nINSERT INTO Customers (first_name, last_name, email, city, registration_date) VALUES ('Heather', 'Jones', 'heather.jones@shop.com', 'Chicago', '2025-07-16');\n```"
},
{
"role": "user",
"content": "Observation:\nQuery executed successfully. Rows affected: 1"
},
{
"role": "assistant",
"content": "Thought: The operation was successful and the changes have been applied.\nAnswer: The database operation was completed successfully."
}
] |
2028ba29-a651-4e0a-b05c-8a921ebafed0
|
company_hr
|
Find employees hired after 2020-01-01.
|
SELECT first_name, last_name, hire_date FROM Employees WHERE hire_date > '2020-01-01';
|
Querying
|
easy
|
date_comparison
| 3
| false
| true
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Find employees hired after 2020-01-01."
},
{
"role": "assistant",
"content": "Thought: Let me write the query based on what I've learned about the schema.\nAction: execute_sql\n```sql\nSELECT first_name, last_name, hire_date FROM Employees WERE hire_date > '2020-01-01';\n```"
},
{
"role": "user",
"content": "Observation:\nERROR: near \"hire_date\": syntax error"
},
{
"role": "assistant",
"content": "Thought: The query has a syntax issue. I'll correct the SQL syntax and try again.\nAction: execute_sql\n```sql\nSELECT first_name, last_name, hire_date FROM Employees WHERE hire_date > '2020-01-01';\n```"
},
{
"role": "user",
"content": "Observation:\nfirst_name | last_name | hire_date\n----------------------------------\nDennis | Miller | 2020-07-19\nMichael | Silva | 2020-10-03\nChristine | Simmons | 2020-10-11\nMegan | Hunt | 2022-07-16\nJanice | Bolton | 2026-02-01\nKaren | Singh | 2025-03-24\nAlan | Evans | 2024-04-29\nKrista | Powell | 2020-02-28\nBethany | Rios | 2020-10-27\nRaymond | Perez | 2023-08-05\nThomas | Black | 2023-12-18\nKatherine | Sharp | 2020-09-19\nBarbara | Anderson | 2025-07-15\nAlec | Cochran | 2024-06-11\nMatthew | Barnes | 2022-12-17\nRichard | Osborne | 2021-06-24\nMark | Johnson | 2023-12-16\nSandra | Hernandez | 2025-08-18\nMark | Soto | 2022-02-18\nCathy | Camacho | 2025-11-26\n... (73 rows total, showing first 20)"
},
{
"role": "assistant",
"content": "Thought: The results are in. I can now formulate my answer.\nAnswer: There are 73 results in total (first 20 displayed above)."
}
] |
240164dc-02e1-43e6-ac1f-0e0b538ad265
|
hospital_management
|
List the first and last names of all doctors and patients.
|
SELECT first_name, last_name FROM Doctors UNION SELECT first_name, last_name FROM Patients;
|
Querying
|
medium
|
union
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "List the first and last names of all doctors and patients."
},
{
"role": "assistant",
"content": "Thought: I should examine the available tables to plan my query strategy.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_hospital_management\n-----------------------------\nAppointments\nDepartments\nDoctors\nMedications\nPatients\nPrescriptions\nRooms"
},
{
"role": "assistant",
"content": "Thought: I'll merge the results using UNION.\nAction: execute_sql\n```sql\nSELECT first_name, last_name FROM Doctors UNION SELECT first_name, last_name FROM Patients;\n```"
},
{
"role": "user",
"content": "Observation:\nfirst_name | last_name\n----------------------\nAdam | Andrade\nAlan | Yu\nAlexa | Diaz\nAlexis | Nelson\nAlyssa | Mayer\nAmanda | Bell\nAmanda | Smith\nAmy | Harvey\nAndrew | Martin\nAngel | Williamson\nAngela | Black\nAnthony | Hubbard\nAnthony | Thomas\nAntonio | Keller\nApril | Foster\nAudrey | Jackson\nBenjamin | Brown\nBobby | Moss\nBrandon | Carter\nBrian | Diaz\n... (200 rows total, showing first 20)"
},
{
"role": "assistant",
"content": "Thought: The database returned the results I needed.\nAnswer: The database returned 200 records matching the criteria."
}
] |
577068d2-05d8-4522-ae69-80050575a06d
|
university_academic
|
Find all classrooms in 'Library' that have a capacity greater than 77.
|
SELECT room_number, capacity FROM Classrooms WHERE building_name = 'Library' AND capacity > 77;
|
Querying
|
easy
|
simple_filter
| 4
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Find all classrooms in 'Library' that have a capacity greater than 77."
},
{
"role": "assistant",
"content": "Thought: I should examine the available tables to plan my query strategy.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_university_academic\n-----------------------------\nClassrooms\nCoursePrerequisites\nCourses\nDepartments\nInstructors\nSemesters\nStudentEnrollments\nStudents\nTeachingAssignments"
},
{
"role": "assistant",
"content": "Thought: Let me inspect the `Classrooms` table structure to plan my query.\nAction: execute_sql\n```sql\nDESCRIBE Classrooms;\n```"
},
{
"role": "user",
"content": "Observation:\nField | Type | Null | Key | Default | Extra\n-------------------------------------------\nclassroom_id | int | NO | PRI | NULL | \nbuilding_name | varchar(255) | NO | MUL | NULL | \nroom_number | varchar(50) | NO | | NULL | \ncapacity | int | YES | | NULL | "
},
{
"role": "assistant",
"content": "Thought: The answer should be in the `Classrooms` table.\nAction: execute_sql\n```sql\nSELECT room_number, capacity FROM Classrooms WHERE building_name = 'Library' AND capacity > 77;\n```"
},
{
"role": "user",
"content": "Observation:\nroom_number | capacity\n----------------------\n101 | 120\n103 | 150"
},
{
"role": "assistant",
"content": "Thought: The results are in. I can now formulate my answer.\nAnswer: The query returned 2 results — see the list above."
}
] |
4ae2293e-dcc6-4e37-96a1-77c68ea9177a
|
company_hr
|
Find departments that have at least one active project.
|
SELECT T1.department_name FROM Departments AS T1 WHERE EXISTS (SELECT 1 FROM Projects AS T2 WHERE T1.department_id = T2.department_id AND T2.status = 'active');
|
Querying
|
medium
|
subquery_exists
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Find departments that have at least one active project."
},
{
"role": "assistant",
"content": "Thought: I need to query the `Departments` table to answer this. I'll use a subquery to narrow down the data.\nAction: execute_sql\n```sql\nSELECT T1.department_name FROM Departments AS T1 WHERE EXISTS (SELECT 1 FROM Projects AS T2 WHERE T1.department_id = T2.department_id AND T2.status = 'active');\n```"
},
{
"role": "user",
"content": "Observation:\ndepartment_name\n---------------\nEngineering\nMarketing\nSales\nFinance\nHuman Resources\nLegal\nOperations"
},
{
"role": "assistant",
"content": "Thought: I've successfully retrieved the data. Let me present the answer.\nAnswer: I found 7 matching records, listed in the output above."
}
] |
300ca12f-6594-4f8b-8ccb-9fe03b976c71
|
music_streaming
|
Classify users by subscription tier: 'Paid' (premium/family) vs 'Free' (free/student).
|
SELECT username, subscription, CASE WHEN subscription IN ('premium','family') THEN 'Paid' ELSE 'Free' END AS tier FROM Users;
|
Analysis
|
medium
|
case_statement
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Classify users by subscription tier: 'Paid' (premium/family) vs 'Free' (free/student)."
},
{
"role": "assistant",
"content": "Thought: To approach this question, I first need to see the database schema.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_music_streaming\n-------------------------\nAlbums\nArtists\nPlayHistory\nPlaylistTracks\nPlaylists\nTracks\nUsers"
},
{
"role": "assistant",
"content": "Thought: I'll use a subquery to narrow down the data. I'll use CASE to classify each row.\nAction: execute_sql\n```sql\nSELECT username, subscription, CASE WHEN subscription IN ('premium','family') THEN 'Paid' ELSE 'Free' END AS tier FROM Users;\n```"
},
{
"role": "user",
"content": "Observation:\nusername | subscription | tier\n------------------------------\ncassandramartinez1 | premium | Paid\ndalejohnson2 | student | Free\nhbrown3 | family | Paid\npmcgrath4 | student | Free\nlorraine795 | family | Paid\ndaisylopez6 | premium | Paid\ngeorgeharmon7 | free | Free\nscastillo8 | premium | Paid\nrrichardson9 | family | Paid\nmarshalllisa10 | student | Free\nstephen9611 | student | Free\naustin9712 | family | Paid\nsydney7713 | student | Free\nmichaelfoley14 | free | Free\nrachel8615 | family | Paid\ndianabell16 | family | Paid\nstephen2417 | premium | Paid\nsandra1718 | student | Free\nlobrien19 | premium | Paid\ndavid5920 | family | Paid\n... (100 rows total, showing first 20)"
},
{
"role": "assistant",
"content": "Thought: The database returned the results I needed.\nAnswer: The database returned 100 records matching the criteria."
}
] |
dace2f5e-1a15-4d14-84c0-925f9255b19f
|
hospital_management
|
List medications that have been prescribed at least once.
|
SELECT medication_name FROM Medications WHERE medication_id IN (SELECT DISTINCT medication_id FROM Prescriptions);
|
Querying
|
medium
|
subquery_in
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "List medications that have been prescribed at least once."
},
{
"role": "assistant",
"content": "Thought: A subquery will help filter the results.\nAction: execute_sql\n```sql\nSELECT medication_name FROM Medications WHERE medication_id IN (SELECT DISTINCT medication_id FROM Prescriptions);\n```"
},
{
"role": "user",
"content": "Observation:\nmedication_name\n---------------\nAspirin\nAmoxicillin\nLisinopril\nMetformin\nAtorvastatin\nIbuprofen\nOmeprazole\nAmlodipine\nGabapentin\nLosartan\nPrednisone\nCiprofloxacin"
},
{
"role": "assistant",
"content": "Thought: The database returned the results I needed.\nAnswer: Here are 12 records that match the criteria, shown above."
}
] |
9c3279f2-cb22-4def-b065-3c449a84932b
|
university_academic
|
Which students joined the university after 2020-01-01?
|
SELECT email FROM Students WHERE enrollment_date > '2020-01-01';
|
Querying
|
easy
|
date_comparison
| 4
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Which students joined the university after 2020-01-01?"
},
{
"role": "assistant",
"content": "Thought: Let me explore the database tables before constructing my query.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_university_academic\n-----------------------------\nClassrooms\nCoursePrerequisites\nCourses\nDepartments\nInstructors\nSemesters\nStudentEnrollments\nStudents\nTeachingAssignments"
},
{
"role": "assistant",
"content": "Thought: To use `Students` correctly, I'll first check its column structure.\nAction: execute_sql\n```sql\nDESCRIBE Students;\n```"
},
{
"role": "user",
"content": "Observation:\nField | Type | Null | Key | Default | Extra\n-------------------------------------------\nstudent_id | int | NO | PRI | NULL | \nfirst_name | varchar(100) | NO | | NULL | \nlast_name | varchar(100) | NO | | NULL | \nemail | varchar(255) | NO | UNI | NULL | \nenrollment_date | date | YES | | NULL | \nmajor_department_id | int | YES | MUL | NULL | "
},
{
"role": "assistant",
"content": "Thought: The answer should be in the `Students` table.\nAction: execute_sql\n```sql\nSELECT email FROM Students WHERE enrollment_date > '2020-01-01';\n```"
},
{
"role": "user",
"content": "Observation:\nemail\n-----\nstudent1@university.edu\nstudent2@university.edu\nstudent3@university.edu\nstudent4@university.edu\nstudent5@university.edu\nstudent6@university.edu\nstudent7@university.edu\nstudent8@university.edu\nstudent9@university.edu\nstudent10@university.edu\nstudent11@university.edu\nstudent12@university.edu\nstudent13@university.edu\nstudent14@university.edu\nstudent15@university.edu\nstudent16@university.edu\nstudent17@university.edu\nstudent18@university.edu\nstudent19@university.edu\nstudent20@university.edu\n... (400 rows total, showing first 20)"
},
{
"role": "assistant",
"content": "Thought: The query completed and I have the data needed to answer the question.\nAnswer: There are 400 results in total (first 20 displayed above)."
}
] |
6fdbdeaa-4852-43ad-ab87-47e906cd1e37
|
company_hr
|
Which projects have more than 2 team members?
|
SELECT T2.project_name, COUNT(T1.employee_id) AS member_count FROM ProjectMembers AS T1 JOIN Projects AS T2 ON T1.project_id = T2.project_id GROUP BY T2.project_id HAVING COUNT(T1.employee_id) > 2;
|
Analysis
|
medium
|
group_by_having
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Which projects have more than 2 team members?"
},
{
"role": "assistant",
"content": "Thought: To approach this question, I first need to see the database schema.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_company_hr\n--------------------\nDepartments\nEmployees\nOffices\nPositions\nProjectMembers\nProjects\nSalaries"
},
{
"role": "assistant",
"content": "Thought: I need to aggregate and then filter the groups. I'll use COUNT to compute the value.\nAction: execute_sql\n```sql\nSELECT T2.project_name, COUNT(T1.employee_id) AS member_count FROM ProjectMembers AS T1 JOIN Projects AS T2 ON T1.project_id = T2.project_id GROUP BY T2.project_id HAVING COUNT(T1.employee_id) > 2;\n```"
},
{
"role": "user",
"content": "Observation:\nproject_name | member_count\n---------------------------\nProject Song | 5\nProject Try | 4\nProject Probably | 3\nProject Provide | 6\nProject Pay | 6\nProject Soon | 5\nProject Society | 6\nProject Reduce | 3\nProject Bill | 6\nProject Sort | 3\nProject Hospital | 4\nProject Gun | 5\nProject Yeah | 3\nProject Heart | 3\nProject Share | 3\nProject Far | 4\nProject Energy | 3\nProject Reason | 4\nProject Pull | 3\nProject Adult | 4\n... (21 rows total, showing first 20)"
},
{
"role": "assistant",
"content": "Thought: I've successfully retrieved the data. Let me present the answer.\nAnswer: The database returned 21 records matching the criteria."
}
] |
b5e084ef-50c6-46d0-b7c5-d62aef5dd25b
|
music_streaming
|
Upgrade user 25's subscription to 'premium'.
|
UPDATE Users SET subscription = 'premium' WHERE user_id = 25;
|
Updating
|
easy
|
update
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Upgrade user 25's subscription to 'premium'."
},
{
"role": "assistant",
"content": "Thought: I'll update the specified record.\nAction: execute_sql\n```sql\nUPDATE Users SET subscription = 'premium' WHERE user_id = 25;\n```"
},
{
"role": "user",
"content": "Observation:\nQuery executed successfully. Rows affected: 1"
},
{
"role": "assistant",
"content": "Thought: The data has been updated as requested.\nAnswer: The operation has been executed and the changes are applied."
}
] |
f0ab8712-167d-412c-8adb-378293d08b4d
|
university_academic
|
Insert a new student: Donna Webster, email donna.webster@university.edu, enrolled 2025-04-15, department 3.
|
INSERT INTO Students (first_name, last_name, email, enrollment_date, major_department_id) VALUES ('Donna', 'Webster', 'donna.webster@university.edu', '2025-04-15', 3);
|
Updating
|
easy
|
insert
| 4
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Insert a new student: Donna Webster, email donna.webster@university.edu, enrolled 2025-04-15, department 3."
},
{
"role": "assistant",
"content": "Thought: To approach this question, I first need to see the database schema.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_university_academic\n-----------------------------\nClassrooms\nCoursePrerequisites\nCourses\nDepartments\nInstructors\nSemesters\nStudentEnrollments\nStudents\nTeachingAssignments"
},
{
"role": "assistant",
"content": "Thought: I need to understand the `Students` schema — let me describe it.\nAction: execute_sql\n```sql\nDESCRIBE Students;\n```"
},
{
"role": "user",
"content": "Observation:\nField | Type | Null | Key | Default | Extra\n-------------------------------------------\nstudent_id | int | NO | PRI | NULL | \nfirst_name | varchar(100) | NO | | NULL | \nlast_name | varchar(100) | NO | | NULL | \nemail | varchar(255) | NO | UNI | NULL | \nenrollment_date | date | YES | | NULL | \nmajor_department_id | int | YES | MUL | NULL | "
},
{
"role": "assistant",
"content": "Thought: This question involves the `Students` table. I'll insert the new record into the table.\nAction: execute_sql\n```sql\nINSERT INTO Students (first_name, last_name, email, enrollment_date, major_department_id) VALUES ('Donna', 'Webster', 'donna.webster@university.edu', '2025-04-15', 3);\n```"
},
{
"role": "user",
"content": "Observation:\nQuery executed successfully. Rows affected: 1"
},
{
"role": "assistant",
"content": "Thought: The modification query completed successfully.\nAnswer: The modification was successful."
}
] |
be38058f-a922-42bb-bb4d-36df0e725eb6
|
music_streaming
|
Classify users by subscription tier: 'Paid' (premium/family) vs 'Free' (free/student).
|
SELECT username, subscription, CASE WHEN subscription IN ('premium','family') THEN 'Paid' ELSE 'Free' END AS tier FROM Users;
|
Analysis
|
medium
|
case_statement
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Classify users by subscription tier: 'Paid' (premium/family) vs 'Free' (free/student)."
},
{
"role": "assistant",
"content": "Thought: Before writing any queries, I should explore what tables exist in this database.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_music_streaming\n-------------------------\nAlbums\nArtists\nPlayHistory\nPlaylistTracks\nPlaylists\nTracks\nUsers"
},
{
"role": "assistant",
"content": "Thought: A subquery will help filter the results. A CASE statement will categorize the results.\nAction: execute_sql\n```sql\nSELECT username, subscription, CASE WHEN subscription IN ('premium','family') THEN 'Paid' ELSE 'Free' END AS tier FROM Users;\n```"
},
{
"role": "user",
"content": "Observation:\nusername | subscription | tier\n------------------------------\ncassandramartinez1 | premium | Paid\ndalejohnson2 | student | Free\nhbrown3 | family | Paid\npmcgrath4 | student | Free\nlorraine795 | family | Paid\ndaisylopez6 | premium | Paid\ngeorgeharmon7 | free | Free\nscastillo8 | premium | Paid\nrrichardson9 | family | Paid\nmarshalllisa10 | student | Free\nstephen9611 | student | Free\naustin9712 | family | Paid\nsydney7713 | student | Free\nmichaelfoley14 | free | Free\nrachel8615 | family | Paid\ndianabell16 | family | Paid\nstephen2417 | premium | Paid\nsandra1718 | student | Free\nlobrien19 | premium | Paid\ndavid5920 | family | Paid\n... (100 rows total, showing first 20)"
},
{
"role": "assistant",
"content": "Thought: I got the results from the query. Now I can provide the answer.\nAnswer: The database returned 100 records matching the criteria."
}
] |
c58dab04-61fa-4dbb-b308-f75c73a3ce0f
|
hospital_management
|
Show the 3 most recently hired doctors.
|
SELECT first_name, last_name, hire_date FROM Doctors ORDER BY hire_date DESC LIMIT 3;
|
Querying
|
easy
|
ordering_limit
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Show the 3 most recently hired doctors."
},
{
"role": "assistant",
"content": "Thought: I'll sort and take the top results.\nAction: execute_sql\n```sql\nSELECT first_name, last_name, hire_date FROM Doctors ORDER BY hire_date DESC LIMIT 3;\n```"
},
{
"role": "user",
"content": "Observation:\nfirst_name | last_name | hire_date\n----------------------------------\nMargaret | Williams | 2025-01-16\nCarl | Ho | 2024-11-25\nSarah | Shannon | 2024-03-02"
},
{
"role": "assistant",
"content": "Thought: I got the results from the query. Now I can provide the answer.\nAnswer: The query returned 3 results — see the list above."
}
] |
05696183-9853-4e43-8363-e3d3711470a6
|
company_hr
|
Show the top 3 highest-paid employees.
|
SELECT T1.first_name, T1.last_name, T2.amount FROM Employees AS T1 JOIN Salaries AS T2 ON T1.employee_id = T2.employee_id ORDER BY T2.amount DESC LIMIT 3;
|
Querying
|
easy
|
ordering_limit
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Show the top 3 highest-paid employees."
},
{
"role": "assistant",
"content": "Thought: Let me start by checking which tables are available in the database.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_company_hr\n--------------------\nDepartments\nEmployees\nOffices\nPositions\nProjectMembers\nProjects\nSalaries"
},
{
"role": "assistant",
"content": "Thought: I'll sort and take the top results.\nAction: execute_sql\n```sql\nSELECT T1.first_name, T1.last_name, T2.amount FROM Employees AS T1 JOIN Salaries AS T2 ON T1.employee_id = T2.employee_id ORDER BY T2.amount DESC LIMIT 3;\n```"
},
{
"role": "user",
"content": "Observation:\nfirst_name | last_name | amount\n-------------------------------\nJames | Walters | 248685.31\nJacob | Rodriguez | 248494.12\nDavid | Harris | 245244.68"
},
{
"role": "assistant",
"content": "Thought: The database returned the results I needed.\nAnswer: The query returned 3 results — see the list above."
}
] |
c6504cd3-e717-42cf-a6bb-670a7f419dd7
|
company_hr
|
Find employees hired after 2022-01-01.
|
SELECT first_name, last_name, hire_date FROM Employees WHERE hire_date > '2022-01-01';
|
Querying
|
easy
|
date_comparison
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Find employees hired after 2022-01-01."
},
{
"role": "assistant",
"content": "Thought: First, I'll look at the database structure to identify the relevant tables.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_company_hr\n--------------------\nDepartments\nEmployees\nOffices\nPositions\nProjectMembers\nProjects\nSalaries"
},
{
"role": "assistant",
"content": "Thought: Let me write the query to answer this question.\nAction: execute_sql\n```sql\nSELECT first_name, last_name, hire_date FROM Employees WHERE hire_date > '2022-01-01';\n```"
},
{
"role": "user",
"content": "Observation:\nfirst_name | last_name | hire_date\n----------------------------------\nMegan | Hunt | 2022-07-16\nJanice | Bolton | 2026-02-01\nKaren | Singh | 2025-03-24\nAlan | Evans | 2024-04-29\nRaymond | Perez | 2023-08-05\nThomas | Black | 2023-12-18\nBarbara | Anderson | 2025-07-15\nAlec | Cochran | 2024-06-11\nMatthew | Barnes | 2022-12-17\nMark | Johnson | 2023-12-16\nSandra | Hernandez | 2025-08-18\nMark | Soto | 2022-02-18\nCathy | Camacho | 2025-11-26\nCasey | Friedman | 2024-10-04\nJenna | Wells | 2022-02-20\nLindsey | Fox | 2025-03-16\nJo | Roberts | 2024-11-29\nStephen | Graves | 2023-03-21\nKenneth | Austin | 2024-03-15\nGregory | Wright | 2025-02-06\n... (52 rows total, showing first 20)"
},
{
"role": "assistant",
"content": "Thought: The query executed successfully and returned the results.\nAnswer: There are 52 results in total (first 20 displayed above)."
}
] |
7adaabea-939a-47c2-9030-e82ffd5a7aaa
|
company_hr
|
Classify employees as 'Above Range' or 'Within Range' based on their salary vs position max_salary.
|
SELECT T1.first_name, T1.last_name, T3.amount, T2.max_salary, CASE WHEN T3.amount > T2.max_salary THEN 'Above Range' ELSE 'Within Range' END AS salary_status FROM Employees AS T1 JOIN Positions AS T2 ON T1.position_id = T2.position_id JOIN Salaries AS T3 ON T1.employee_id = T3.employee_id;
|
Analysis
|
medium
|
case_statement
| 3
| false
| true
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Classify employees as 'Above Range' or 'Within Range' based on their salary vs position max_salary."
},
{
"role": "assistant",
"content": "Thought: Let me try constructing the SQL to answer this.\nAction: execute_sql\n```sql\nSELECT T1.first_name, T1.last_name, T3.amount, T2.max_salary, CASE WHEN T3.amount > T2.max_salary THEN 'Above Range' ELSE 'Within Range' END AS salary_status FORM Employees AS T1 JOIN Positions AS T2 ON T1.position_id = T2.position_id JOIN Salaries AS T3 ON T1.employee_id = T3.employee_id;\n```"
},
{
"role": "user",
"content": "Observation:\nERROR: near \"FORM\": syntax error"
},
{
"role": "assistant",
"content": "Thought: The query has a syntax issue. I'll correct the SQL syntax and try again.\nAction: execute_sql\n```sql\nSELECT T1.first_name, T1.last_name, T3.amount, T2.max_salary, CASE WHEN T3.amount > T2.max_salary THEN 'Above Range' ELSE 'Within Range' END AS salary_status FROM Employees AS T1 JOIN Positions AS T2 ON T1.position_id = T2.position_id JOIN Salaries AS T3 ON T1.employee_id = T3.employee_id;\n```"
},
{
"role": "user",
"content": "Observation:\nfirst_name | last_name | amount | max_salary | salary_status\n------------------------------------------------------------\nDennis | Miller | 86804.67 | 350000.0 | Within Range\nMichael | Silva | 135472.27 | 70000.0 | Above Range\nChristine | Simmons | 120026.76 | 80000.0 | Above Range\nRobert | Ballard | 81067.65 | 120000.0 | Within Range\nPatrick | White | 138610.59 | 120000.0 | Above Range\nDeanna | Howard | 66132.52 | 130000.0 | Within Range\nMegan | Hunt | 243199.38 | 350000.0 | Within Range\nKristi | House | 231946.16 | 250000.0 | Within Range\nCharles | Johnson | 126716.3 | 80000.0 | Above Range\nJames | Murphy | 212287.77 | 250000.0 | Within Range\nLisa | Sutton | 187805.34 | 70000.0 | Above Range\nJanice | Bolton | 195642.14 | 150000.0 | Above Range\nKaren | Singh | 41597.08 | 130000.0 | Within Range\nAlan | Evans | 118675.2 | 250000.0 | Within Range\nKrista | Powell | 87026.69 | 180000.0 | Within Range\nBethany | Rios | 99556.93 | 250000.0 | Within Range\nWilliam | Juarez | 224717.5 | 150000.0 | Above Range\nRaymond | Perez | 95544.8 | 70000.0 | Above Range\nThomas | Black | 216081.68 | 150000.0 | Above Range\nKatherine | Sharp | 206979.02 | 350000.0 | Within Range\n... (120 rows total, showing first 20)"
},
{
"role": "assistant",
"content": "Thought: The database returned the results I needed.\nAnswer: The database returned 120 records matching the criteria."
}
] |
b68698c5-b449-4247-8790-efb6a467881f
|
online_retail
|
Calculate the mean price for 'Sports' products.
|
SELECT AVG(T1.price) AS avg_price FROM Products AS T1 JOIN Categories AS T2 ON T1.category_id = T2.category_id WHERE T2.category_name = 'Sports';
|
Analysis
|
easy
|
aggregation
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Calculate the mean price for 'Sports' products."
},
{
"role": "assistant",
"content": "Thought: A AVG function will give the answer.\nAction: execute_sql\n```sql\nSELECT AVG(T1.price) AS avg_price FROM Products AS T1 JOIN Categories AS T2 ON T1.category_id = T2.category_id WHERE T2.category_name = 'Sports';\n```"
},
{
"role": "user",
"content": "Observation:\navg_price\n---------\n238.02105263157893"
},
{
"role": "assistant",
"content": "Thought: The query executed successfully and returned the results.\nAnswer: The mean comes out to 238.02105263157893."
}
] |
1253e9b8-6e83-4dda-990d-2a19f524012c
|
hospital_management
|
Find medications prescribed by Oncologists.
|
SELECT DISTINCT T4.medication_name FROM Appointments AS T1 JOIN Doctors AS T2 ON T1.doctor_id = T2.doctor_id JOIN Prescriptions AS T3 ON T1.appointment_id = T3.appointment_id JOIN Medications AS T4 ON T3.medication_id = T4.medication_id WHERE T2.specialization = 'Oncologist';
|
Analysis
|
medium
|
complex_join
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Find medications prescribed by Oncologists."
},
{
"role": "assistant",
"content": "Thought: Let me start by checking which tables are available in the database.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_hospital_management\n-----------------------------\nAppointments\nDepartments\nDoctors\nMedications\nPatients\nPrescriptions\nRooms"
},
{
"role": "assistant",
"content": "Thought: Let me write the query to answer this question.\nAction: execute_sql\n```sql\nSELECT DISTINCT T4.medication_name FROM Appointments AS T1 JOIN Doctors AS T2 ON T1.doctor_id = T2.doctor_id JOIN Prescriptions AS T3 ON T1.appointment_id = T3.appointment_id JOIN Medications AS T4 ON T3.medication_id = T4.medication_id WHERE T2.specialization = 'Oncologist';\n```"
},
{
"role": "user",
"content": "Observation:\nmedication_name\n---------------\nAmoxicillin\nAmlodipine\nAspirin\nMetformin\nGabapentin\nLisinopril\nLosartan"
},
{
"role": "assistant",
"content": "Thought: I got the results from the query. Now I can provide the answer.\nAnswer: Here are 7 records that match the criteria, shown above."
}
] |
9129185d-5238-4e09-8c4c-889e664c14df
|
hospital_management
|
Find medications prescribed by Pediatricians.
|
SELECT DISTINCT T4.medication_name FROM Appointments AS T1 JOIN Doctors AS T2 ON T1.doctor_id = T2.doctor_id JOIN Prescriptions AS T3 ON T1.appointment_id = T3.appointment_id JOIN Medications AS T4 ON T3.medication_id = T4.medication_id WHERE T2.specialization = 'Pediatrician';
|
Analysis
|
medium
|
complex_join
| 3
| false
| true
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Find medications prescribed by Pediatricians."
},
{
"role": "assistant",
"content": "Thought: Let me write the query based on what I've learned about the schema.\nAction: execute_sql\n```sql\nSELECT DISTINCT T4.medication_name FROM Appointments AS T1 JOIN Doctors AS T2 ON T1.doctor_id = T2.doctor_id JOIN Prescriptions AS T3 ON T1.appointment_id = T3.appointment_id JOIN Medications AS T4 ON T3.medication_id = T4.medication_id WERE T2.specialization = 'Pediatrician';\n```"
},
{
"role": "user",
"content": "Observation:\nERROR: near \"WERE\": syntax error"
},
{
"role": "assistant",
"content": "Thought: The SQL syntax was wrong. I need to fix the statement structure.\nAction: execute_sql\n```sql\nSELECT DISTINCT T4.medication_name FROM Appointments AS T1 JOIN Doctors AS T2 ON T1.doctor_id = T2.doctor_id JOIN Prescriptions AS T3 ON T1.appointment_id = T3.appointment_id JOIN Medications AS T4 ON T3.medication_id = T4.medication_id WHERE T2.specialization = 'Pediatrician';\n```"
},
{
"role": "user",
"content": "Observation:\nmedication_name\n---------------\nCiprofloxacin\nPrednisone\nIbuprofen\nLosartan\nAspirin\nOmeprazole\nLisinopril"
},
{
"role": "assistant",
"content": "Thought: The query executed successfully and returned the results.\nAnswer: The query returned 7 results — see the list above."
}
] |
bb0a16a1-2c61-46c5-bf53-7f9fb19bf908
|
online_retail
|
Find all products with a price greater than 184.
|
SELECT product_name, price FROM Products WHERE price > 184;
|
Querying
|
easy
|
simple_filter
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Find all products with a price greater than 184."
},
{
"role": "assistant",
"content": "Thought: Let me write the query to answer this question.\nAction: execute_sql\n```sql\nSELECT product_name, price FROM Products WHERE price > 184;\n```"
},
{
"role": "user",
"content": "Observation:\nproduct_name | price\n--------------------\nSharable system-worthy access | 490.93\nAdaptive well-modulated protocol | 403.74\nProgressive disintermediate instruction set | 363.58\nCentralized client-server structure | 245.22\nBalanced discrete model | 273.65\nMulti-layered logistical synergy | 285.52\nObject-based asynchronous parallelism | 434.49\nUser-centric fresh-thinking functionalities | 229.77\nFocused asynchronous customer loyalty | 368.16\nVisionary optimal benchmark | 389.13\nDown-sized local Local Area Network | 361.9\nExpanded local function | 384.04\nFully-configurable heuristic infrastructure | 437.38\nSynergistic exuding firmware | 245.26\nEnhanced 4thgeneration initiative | 287.65\nRealigned value-added neural-net | 265.28\nFace-to-face clear-thinking customer loyalty | 464.56\nMulti-layered systemic product | 401.5\nConfigurable optimal parallelism | 281.22\nCompatible 3rdgeneration architecture | 398.15\n... (95 rows total, showing first 20)"
},
{
"role": "assistant",
"content": "Thought: The database returned the results I needed.\nAnswer: The query found 95 matching records. The first 20 are shown above."
}
] |
d07a8bfc-3a70-4961-b5dc-bdc8c176c217
|
company_hr
|
Show the top 5 highest-paid employees.
|
SELECT T1.first_name, T1.last_name, T2.amount FROM Employees AS T1 JOIN Salaries AS T2 ON T1.employee_id = T2.employee_id ORDER BY T2.amount DESC LIMIT 5;
|
Querying
|
easy
|
ordering_limit
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Show the top 5 highest-paid employees."
},
{
"role": "assistant",
"content": "Thought: I'll sort and take the top results.\nAction: execute_sql\n```sql\nSELECT T1.first_name, T1.last_name, T2.amount FROM Employees AS T1 JOIN Salaries AS T2 ON T1.employee_id = T2.employee_id ORDER BY T2.amount DESC LIMIT 5;\n```"
},
{
"role": "user",
"content": "Observation:\nfirst_name | last_name | amount\n-------------------------------\nJames | Walters | 248685.31\nJacob | Rodriguez | 248494.12\nDavid | Harris | 245244.68\nAdam | Kane | 244942.33\nDamon | Tran | 244432.97"
},
{
"role": "assistant",
"content": "Thought: The query completed and I have the data needed to answer the question.\nAnswer: I found 5 matching records, listed in the output above."
}
] |
cda5cbfb-f9a8-4f81-aa12-51e67fd34a56
|
city_library
|
Change member 94's membership type to 'premium'.
|
UPDATE Members SET membership_type = 'premium' WHERE member_id = 94;
|
Updating
|
easy
|
update
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Change member 94's membership type to 'premium'."
},
{
"role": "assistant",
"content": "Thought: Let me modify the existing data.\nAction: execute_sql\n```sql\nUPDATE Members SET membership_type = 'premium' WHERE member_id = 94;\n```"
},
{
"role": "user",
"content": "Observation:\nQuery executed successfully. Rows affected: 1"
},
{
"role": "assistant",
"content": "Thought: The database operation was executed successfully.\nAnswer: The modification was successful."
}
] |
aa061f54-b3c1-402e-b8e5-dffb57b968c8
|
city_library
|
What are the 4 most recently published books?
|
SELECT title, publish_year FROM Books ORDER BY publish_year DESC LIMIT 4;
|
Querying
|
easy
|
ordering_limit
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "What are the 4 most recently published books?"
},
{
"role": "assistant",
"content": "Thought: Before writing any queries, I should explore what tables exist in this database.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_city_library\n----------------------\nAuthors\nBookAuthors\nBooks\nGenres\nLoans\nMembers\nPublishers"
},
{
"role": "assistant",
"content": "Thought: I'll sort and take the top results.\nAction: execute_sql\n```sql\nSELECT title, publish_year FROM Books ORDER BY publish_year DESC LIMIT 4;\n```"
},
{
"role": "user",
"content": "Observation:\ntitle | publish_year\n--------------------\nMulti-layered homogeneous matrix | 2024\nCloned global definition | 2024\nExclusive high-level secured line | 2024\nRealigned multi-tasking frame | 2024"
},
{
"role": "assistant",
"content": "Thought: The results are in. I can now formulate my answer.\nAnswer: I found 4 matching records, listed above."
}
] |
288753a1-7704-4927-90a6-5a34251879bd
|
city_library
|
Which authors have written more than 3 books?
|
SELECT T2.first_name, T2.last_name, COUNT(T1.book_id) AS book_count FROM BookAuthors AS T1 JOIN Authors AS T2 ON T1.author_id = T2.author_id GROUP BY T2.author_id HAVING COUNT(T1.book_id) > 3;
|
Analysis
|
medium
|
group_by_having
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Which authors have written more than 3 books?"
},
{
"role": "assistant",
"content": "Thought: First, I'll look at the database structure to identify the relevant tables.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_city_library\n----------------------\nAuthors\nBookAuthors\nBooks\nGenres\nLoans\nMembers\nPublishers"
},
{
"role": "assistant",
"content": "Thought: I'll group the results and filter with HAVING. I'll use COUNT to compute the value.\nAction: execute_sql\n```sql\nSELECT T2.first_name, T2.last_name, COUNT(T1.book_id) AS book_count FROM BookAuthors AS T1 JOIN Authors AS T2 ON T1.author_id = T2.author_id GROUP BY T2.author_id HAVING COUNT(T1.book_id) > 3;\n```"
},
{
"role": "user",
"content": "Observation:\nfirst_name | last_name | book_count\n-----------------------------------\nStephanie | Scott | 5\nDenise | Andrade | 9\nMary | Hamilton | 5\nDarren | Lee | 7\nJohn | Lindsey | 6\nNicholas | Kennedy | 6\nKathleen | Kim | 6\nJulie | Osborne | 8\nJoshua | Powers | 7\nCassandra | Browning | 5\nRichard | Smith | 5\nJoseph | George | 7\nTheresa | Flores | 4\nJeffrey | Smith | 9\nMark | Brown | 6\nCynthia | Murphy | 6\nMichael | Wallace | 7\nEmily | Scott | 7\nAntonio | Phelps | 6\nAnna | Reed | 6\n... (34 rows total, showing first 20)"
},
{
"role": "assistant",
"content": "Thought: The query ran successfully. Let me summarize the findings.\nAnswer: There are 34 results in total (first 20 displayed above)."
}
] |
34cb8f65-b130-41e1-a01c-7c9f6e79094b
|
hospital_management
|
Update appointment 189 status to 'cancelled'.
|
UPDATE Appointments SET status = 'cancelled' WHERE appointment_id = 189;
|
Updating
|
easy
|
update
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Update appointment 189 status to 'cancelled'."
},
{
"role": "assistant",
"content": "Thought: Before writing any queries, I should explore what tables exist in this database.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_hospital_management\n-----------------------------\nAppointments\nDepartments\nDoctors\nMedications\nPatients\nPrescriptions\nRooms"
},
{
"role": "assistant",
"content": "Thought: I'll update the specified record.\nAction: execute_sql\n```sql\nUPDATE Appointments SET status = 'cancelled' WHERE appointment_id = 189;\n```"
},
{
"role": "user",
"content": "Observation:\nQuery executed successfully. Rows affected: 1"
},
{
"role": "assistant",
"content": "Thought: The database operation was executed successfully.\nAnswer: The database operation was completed successfully."
}
] |
67521e6f-ce22-40dd-8047-566f801b347f
|
music_streaming
|
List tracks that are marked as explicit.
|
SELECT track_title, album_id FROM Tracks WHERE is_explicit = 1;
|
Querying
|
easy
|
simple_filter
| 4
| true
| true
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "List tracks that are marked as explicit."
},
{
"role": "assistant",
"content": "Thought: First, I'll look at the database structure to identify the relevant tables.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_music_streaming\n-------------------------\nAlbums\nArtists\nPlayHistory\nPlaylistTracks\nPlaylists\nTracks\nUsers"
},
{
"role": "assistant",
"content": "Thought: Now I have enough information to write the SQL query.\nAction: execute_sql\n```sql\nSELECT track_title, album_id FROM Tracks WERE is_explicit = 1;\n```"
},
{
"role": "user",
"content": "Observation:\nERROR: near \"is_explicit\": syntax error"
},
{
"role": "assistant",
"content": "Thought: The query has a syntax issue. I'll correct the SQL syntax and try again.\nAction: execute_sql\n```sql\nSELECT track_title, album_id FROM Tracks WHERE is_explicit = 1;\n```"
},
{
"role": "user",
"content": "Observation:\ntrack_title | album_id\n----------------------\nSeason too civil | 18\nWay where | 51\nSon research foot | 74\nMaybe type successful | 17\nAppear stop | 14\nExecutive bar | 14\nEasy check memory | 54\nCup relationship special | 23\nPlay director car although | 26\nBody hair | 1\nAmerican appear | 44\nDeep line training | 25\nHair fight best | 9\nSea open painting | 64\nPractice decide | 3\nBeautiful blood picture | 33\nCover knowledge | 69\nFeeling listen set | 75\nResult analysis court | 4\nWindow thus large | 18\n... (190 rows total, showing first 20)"
},
{
"role": "assistant",
"content": "Thought: The query ran successfully. Let me summarize the findings.\nAnswer: The query found 190 matching records. The first 20 are shown above."
}
] |
c506dab5-f25b-4bb8-bf3c-6326b2fa48f2
|
city_library
|
What is the average fine amount per overdue loan?
|
SELECT AVG(fine_amount) AS avg_fine FROM Loans WHERE fine_amount > 0;
|
Analysis
|
hard
|
multi_table_aggregation
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "What is the average fine amount per overdue loan?"
},
{
"role": "assistant",
"content": "Thought: Before writing any queries, I should explore what tables exist in this database.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_city_library\n----------------------\nAuthors\nBookAuthors\nBooks\nGenres\nLoans\nMembers\nPublishers"
},
{
"role": "assistant",
"content": "Thought: A AVG function will give the answer.\nAction: execute_sql\n```sql\nSELECT AVG(fine_amount) AS avg_fine FROM Loans WHERE fine_amount > 0;\n```"
},
{
"role": "user",
"content": "Observation:\navg_fine\n--------\n4.847822580645162"
},
{
"role": "assistant",
"content": "Thought: I got the results from the query. Now I can provide the answer.\nAnswer: The average is 4.847822580645162."
}
] |
be965b70-1425-426e-aef2-15c01c43ab55
|
online_retail
|
Register a new customer: Rachel Collins, email rachel.collins@shop.com, city New York.
|
INSERT INTO Customers (first_name, last_name, email, city, registration_date) VALUES ('Rachel', 'Collins', 'rachel.collins@shop.com', 'New York', '2026-01-17');
|
Updating
|
easy
|
insert
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Register a new customer: Rachel Collins, email rachel.collins@shop.com, city New York."
},
{
"role": "assistant",
"content": "Thought: To approach this question, I first need to see the database schema.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_online_retail\n-----------------------\nCategories\nCoupons\nCustomers\nOrderItems\nOrders\nProducts\nReviews"
},
{
"role": "assistant",
"content": "Thought: I'll insert the new record into the table.\nAction: execute_sql\n```sql\nINSERT INTO Customers (first_name, last_name, email, city, registration_date) VALUES ('Rachel', 'Collins', 'rachel.collins@shop.com', 'New York', '2026-01-17');\n```"
},
{
"role": "user",
"content": "Observation:\nQuery executed successfully. Rows affected: 1"
},
{
"role": "assistant",
"content": "Thought: The database operation was executed successfully.\nAnswer: Done — the database has been updated as requested."
}
] |
caa8a721-1897-482c-a601-736b8b3bba75
|
company_hr
|
Classify employees as 'Above Range' or 'Within Range' based on their salary vs position max_salary.
|
SELECT T1.first_name, T1.last_name, T3.amount, T2.max_salary, CASE WHEN T3.amount > T2.max_salary THEN 'Above Range' ELSE 'Within Range' END AS salary_status FROM Employees AS T1 JOIN Positions AS T2 ON T1.position_id = T2.position_id JOIN Salaries AS T3 ON T1.employee_id = T3.employee_id;
|
Analysis
|
medium
|
case_statement
| 3
| false
| true
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Classify employees as 'Above Range' or 'Within Range' based on their salary vs position max_salary."
},
{
"role": "assistant",
"content": "Thought: Let me write the query based on what I've learned about the schema.\nAction: execute_sql\n```sql\nSELECT T3.first_name, T1.last_name, T3.amount, T2.max_salary, CASE WHEN T3.amount > T2.max_salary THEN 'Above Range' ELSE 'Within Range' END AS salary_status FROM Employees AS T1 JOIN Positions AS T2 ON T1.position_id = T2.position_id JOIN Salaries AS T3 ON T1.employee_id = T3.employee_id;\n```"
},
{
"role": "user",
"content": "Observation:\nERROR: no such column: T3.first_name"
},
{
"role": "assistant",
"content": "Thought: I used the wrong column name. Based on the table structure, the correct column is different.\nAction: execute_sql\n```sql\nSELECT T1.first_name, T1.last_name, T3.amount, T2.max_salary, CASE WHEN T3.amount > T2.max_salary THEN 'Above Range' ELSE 'Within Range' END AS salary_status FROM Employees AS T1 JOIN Positions AS T2 ON T1.position_id = T2.position_id JOIN Salaries AS T3 ON T1.employee_id = T3.employee_id;\n```"
},
{
"role": "user",
"content": "Observation:\nfirst_name | last_name | amount | max_salary | salary_status\n------------------------------------------------------------\nDennis | Miller | 86804.67 | 350000.0 | Within Range\nMichael | Silva | 135472.27 | 70000.0 | Above Range\nChristine | Simmons | 120026.76 | 80000.0 | Above Range\nRobert | Ballard | 81067.65 | 120000.0 | Within Range\nPatrick | White | 138610.59 | 120000.0 | Above Range\nDeanna | Howard | 66132.52 | 130000.0 | Within Range\nMegan | Hunt | 243199.38 | 350000.0 | Within Range\nKristi | House | 231946.16 | 250000.0 | Within Range\nCharles | Johnson | 126716.3 | 80000.0 | Above Range\nJames | Murphy | 212287.77 | 250000.0 | Within Range\nLisa | Sutton | 187805.34 | 70000.0 | Above Range\nJanice | Bolton | 195642.14 | 150000.0 | Above Range\nKaren | Singh | 41597.08 | 130000.0 | Within Range\nAlan | Evans | 118675.2 | 250000.0 | Within Range\nKrista | Powell | 87026.69 | 180000.0 | Within Range\nBethany | Rios | 99556.93 | 250000.0 | Within Range\nWilliam | Juarez | 224717.5 | 150000.0 | Above Range\nRaymond | Perez | 95544.8 | 70000.0 | Above Range\nThomas | Black | 216081.68 | 150000.0 | Above Range\nKatherine | Sharp | 206979.02 | 350000.0 | Within Range\n... (120 rows total, showing first 20)"
},
{
"role": "assistant",
"content": "Thought: The database returned the results I needed.\nAnswer: There are 120 results in total (first 20 displayed above)."
}
] |
9487b9d0-546a-4e7e-9db6-d202bf3ac085
|
music_streaming
|
What are the 15 longest tracks by duration?
|
SELECT track_title, duration_sec FROM Tracks ORDER BY duration_sec DESC LIMIT 15;
|
Querying
|
easy
|
ordering_limit
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "What are the 15 longest tracks by duration?"
},
{
"role": "assistant",
"content": "Thought: Let me start by checking which tables are available in the database.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_music_streaming\n-------------------------\nAlbums\nArtists\nPlayHistory\nPlaylistTracks\nPlaylists\nTracks\nUsers"
},
{
"role": "assistant",
"content": "Thought: Ordering and limiting will give the desired ranking.\nAction: execute_sql\n```sql\nSELECT track_title, duration_sec FROM Tracks ORDER BY duration_sec DESC LIMIT 15;\n```"
},
{
"role": "user",
"content": "Observation:\ntrack_title | duration_sec\n--------------------------\nMaterial wrong instead | 420\nYear technology | 420\nAttention institution | 419\nDevelop international | 418\nCover knowledge | 414\nGive necessary | 414\nDifficult these | 412\nMove mouth start | 412\nResult | 411\nWeek officer | 411\nMyself not fall sense | 411\nUntil establish | 410\nMyself again and name | 410\nLeave call technology send | 410\nAdministration | 408"
},
{
"role": "assistant",
"content": "Thought: The query executed successfully and returned the results.\nAnswer: The database returned 15 records matching these conditions."
}
] |
1467a66f-93f3-45f7-95cc-d97e87a878c0
|
hospital_management
|
Categorize rooms as 'Critical Care' (ICU/Emergency), 'Surgical' (Operating), or 'General' (others).
|
SELECT room_number, room_type, CASE WHEN room_type IN ('ICU','Emergency') THEN 'Critical Care' WHEN room_type = 'Operating' THEN 'Surgical' ELSE 'General' END AS room_category FROM Rooms;
|
Analysis
|
medium
|
case_statement
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Categorize rooms as 'Critical Care' (ICU/Emergency), 'Surgical' (Operating), or 'General' (others)."
},
{
"role": "assistant",
"content": "Thought: To approach this question, I first need to see the database schema.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_hospital_management\n-----------------------------\nAppointments\nDepartments\nDoctors\nMedications\nPatients\nPrescriptions\nRooms"
},
{
"role": "assistant",
"content": "Thought: A subquery will help filter the results. A CASE statement will categorize the results.\nAction: execute_sql\n```sql\nSELECT room_number, room_type, CASE WHEN room_type IN ('ICU','Emergency') THEN 'Critical Care' WHEN room_type = 'Operating' THEN 'Surgical' ELSE 'General' END AS room_category FROM Rooms;\n```"
},
{
"role": "user",
"content": "Observation:\nroom_number | room_type | room_category\n---------------------------------------\n134 | Emergency | Critical Care\n364 | Emergency | Critical Care\n116 | Single | General\n436 | Single | General\n324 | ICU | Critical Care\n533 | Double | General\n103 | Emergency | Critical Care\n374 | ICU | Critical Care\n597 | Single | General\n239 | Emergency | Critical Care\n204 | Operating | Surgical\n205 | Double | General\n492 | Double | General\n573 | ICU | Critical Care\n475 | Operating | Surgical\n238 | Double | General\n463 | ICU | Critical Care\n215 | Emergency | Critical Care\n486 | Emergency | Critical Care\n458 | ICU | Critical Care\n... (60 rows total, showing first 20)"
},
{
"role": "assistant",
"content": "Thought: The database returned the results I needed.\nAnswer: The database returned 60 records matching the criteria."
}
] |
b7d4996f-38a8-4997-ac59-1524f7807776
|
music_streaming
|
Register a new user: nwilliams, email nwilliams@music.example.com, premium plan, from USA.
|
INSERT INTO Users (username, email, subscription, joined_date, country) VALUES ('nwilliams', 'nwilliams@music.example.com', 'premium', '2026-02-07', 'USA');
|
Updating
|
easy
|
insert
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Register a new user: nwilliams, email nwilliams@music.example.com, premium plan, from USA."
},
{
"role": "assistant",
"content": "Thought: First, I'll look at the database structure to identify the relevant tables.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_music_streaming\n-------------------------\nAlbums\nArtists\nPlayHistory\nPlaylistTracks\nPlaylists\nTracks\nUsers"
},
{
"role": "assistant",
"content": "Thought: I'll insert the new record into the table.\nAction: execute_sql\n```sql\nINSERT INTO Users (username, email, subscription, joined_date, country) VALUES ('nwilliams', 'nwilliams@music.example.com', 'premium', '2026-02-07', 'USA');\n```"
},
{
"role": "user",
"content": "Observation:\nQuery executed successfully. Rows affected: 1"
},
{
"role": "assistant",
"content": "Thought: The database operation was executed successfully.\nAnswer: The database operation was completed successfully."
}
] |
c3a43de7-8710-4654-86f8-e64c462662a1
|
city_library
|
How many books are in the 'Fiction' genre?
|
SELECT COUNT(T1.book_id) FROM Books AS T1 JOIN Genres AS T2 ON T1.genre_id = T2.genre_id WHERE T2.genre_name = 'Fiction';
|
Analysis
|
easy
|
aggregation
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "How many books are in the 'Fiction' genre?"
},
{
"role": "assistant",
"content": "Thought: I should examine the available tables to plan my query strategy.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_city_library\n----------------------\nAuthors\nBookAuthors\nBooks\nGenres\nLoans\nMembers\nPublishers"
},
{
"role": "assistant",
"content": "Thought: A COUNT function will give the answer.\nAction: execute_sql\n```sql\nSELECT COUNT(T1.book_id) FROM Books AS T1 JOIN Genres AS T2 ON T1.genre_id = T2.genre_id WHERE T2.genre_name = 'Fiction';\n```"
},
{
"role": "user",
"content": "Observation:\nCOUNT(T1.book_id)\n-----------------\n13"
},
{
"role": "assistant",
"content": "Thought: The query ran successfully. Let me summarize the findings.\nAnswer: The count is 13."
}
] |
cbf5adb2-6f6f-4fd9-97d1-f516b62d2c71
|
online_retail
|
What is the average review rating for products in the 'Clothing' category?
|
SELECT AVG(T3.rating) AS avg_rating FROM Products AS T1 JOIN Categories AS T2 ON T1.category_id = T2.category_id JOIN Reviews AS T3 ON T1.product_id = T3.product_id WHERE T2.category_name = 'Clothing';
|
Analysis
|
hard
|
multi_table_aggregation
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "What is the average review rating for products in the 'Clothing' category?"
},
{
"role": "assistant",
"content": "Thought: A AVG function will give the answer.\nAction: execute_sql\n```sql\nSELECT AVG(T3.rating) AS avg_rating FROM Products AS T1 JOIN Categories AS T2 ON T1.category_id = T2.category_id JOIN Reviews AS T3 ON T1.product_id = T3.product_id WHERE T2.category_name = 'Clothing';\n```"
},
{
"role": "user",
"content": "Observation:\navg_rating\n----------\n3.1"
},
{
"role": "assistant",
"content": "Thought: The results are in. I can now formulate my answer.\nAnswer: The mean comes out to 3.1."
}
] |
84f4d5e1-678f-4cae-bdf8-0604dc234804
|
city_library
|
List loans that have not been returned yet.
|
SELECT loan_id, book_id, member_id, loan_date, due_date FROM Loans WHERE return_date IS NULL;
|
Querying
|
easy
|
null_check
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "List loans that have not been returned yet."
},
{
"role": "assistant",
"content": "Thought: First, I'll look at the database structure to identify the relevant tables.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_city_library\n----------------------\nAuthors\nBookAuthors\nBooks\nGenres\nLoans\nMembers\nPublishers"
},
{
"role": "assistant",
"content": "Thought: I need to check for NULL values.\nAction: execute_sql\n```sql\nSELECT loan_id, book_id, member_id, loan_date, due_date FROM Loans WHERE return_date IS NULL;\n```"
},
{
"role": "user",
"content": "Observation:\nloan_id | book_id | member_id | loan_date | due_date\n----------------------------------------------------\n1 | 112 | 74 | 2025-09-27 | 2025-10-11\n3 | 37 | 80 | 2025-04-30 | 2025-05-14\n4 | 135 | 34 | 2026-01-13 | 2026-01-27\n5 | 11 | 15 | 2025-10-27 | 2025-11-10\n7 | 88 | 39 | 2026-01-22 | 2026-02-05\n9 | 12 | 28 | 2025-04-22 | 2025-05-06\n13 | 17 | 38 | 2025-06-29 | 2025-07-13\n19 | 195 | 59 | 2025-05-27 | 2025-06-10\n20 | 134 | 38 | 2025-03-06 | 2025-03-20\n22 | 85 | 73 | 2025-10-09 | 2025-10-23\n25 | 45 | 25 | 2025-09-12 | 2025-09-26\n26 | 200 | 29 | 2025-03-03 | 2025-03-17\n30 | 102 | 82 | 2025-04-06 | 2025-04-20\n32 | 165 | 57 | 2026-01-30 | 2026-02-13\n35 | 93 | 84 | 2025-04-06 | 2025-04-20\n41 | 140 | 87 | 2026-01-20 | 2026-02-03\n42 | 170 | 35 | 2025-03-30 | 2025-04-13\n44 | 105 | 81 | 2025-10-30 | 2025-11-13\n49 | 139 | 20 | 2025-05-18 | 2025-06-01\n52 | 123 | 97 | 2025-08-16 | 2025-08-30\n... (104 rows total, showing first 20)"
},
{
"role": "assistant",
"content": "Thought: I got the results from the query. Now I can provide the answer.\nAnswer: The query found 104 matching records. The first 20 are shown above."
}
] |
dae47c19-09c0-482f-92d0-4d8c3d4bb3c2
|
music_streaming
|
What are the 10 longest tracks by duration?
|
SELECT track_title, duration_sec FROM Tracks ORDER BY duration_sec DESC LIMIT 10;
|
Querying
|
easy
|
ordering_limit
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "What are the 10 longest tracks by duration?"
},
{
"role": "assistant",
"content": "Thought: Let me start by checking which tables are available in the database.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_music_streaming\n-------------------------\nAlbums\nArtists\nPlayHistory\nPlaylistTracks\nPlaylists\nTracks\nUsers"
},
{
"role": "assistant",
"content": "Thought: I'll sort and take the top results.\nAction: execute_sql\n```sql\nSELECT track_title, duration_sec FROM Tracks ORDER BY duration_sec DESC LIMIT 10;\n```"
},
{
"role": "user",
"content": "Observation:\ntrack_title | duration_sec\n--------------------------\nMaterial wrong instead | 420\nYear technology | 420\nAttention institution | 419\nDevelop international | 418\nCover knowledge | 414\nGive necessary | 414\nDifficult these | 412\nMove mouth start | 412\nResult | 411\nWeek officer | 411"
},
{
"role": "assistant",
"content": "Thought: I've successfully retrieved the data. Let me present the answer.\nAnswer: The database returned 10 records matching these conditions."
}
] |
6d59531c-bc28-4f2c-9c9f-df52ceba6d2a
|
music_streaming
|
List all albums by Rock artists.
|
SELECT T1.album_title, T2.artist_name FROM Albums AS T1 JOIN Artists AS T2 ON T1.artist_id = T2.artist_id WHERE T2.genre = 'Rock';
|
Querying
|
easy
|
join_basic
| 2
| false
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "List all albums by Rock artists."
},
{
"role": "assistant",
"content": "Thought: Let me write the query to answer this question.\nAction: execute_sql\n```sql\nSELECT T1.album_title, T2.artist_name FROM Albums AS T1 JOIN Artists AS T2 ON T1.artist_id = T2.artist_id WHERE T2.genre = 'Rock';\n```"
},
{
"role": "user",
"content": "Observation:\nalbum_title | artist_name\n-------------------------\nRe-engineered mobile solution | Sean White\nFace-to-face homogeneous benchmark | Sean White\nObject-based holistic framework | Michael Lee"
},
{
"role": "assistant",
"content": "Thought: The SQL query returned the expected output. Here's the answer.\nAnswer: I found 3 matching records, listed in the output above."
}
] |
81972883-a694-487d-b502-bbbd048ec4fd
|
music_streaming
|
What is the average track duration for Jazz artists?
|
SELECT AVG(T3.duration_sec) AS avg_duration FROM Artists AS T1 JOIN Albums AS T2 ON T1.artist_id = T2.artist_id JOIN Tracks AS T3 ON T2.album_id = T3.album_id WHERE T1.genre = 'Jazz';
|
Analysis
|
hard
|
multi_table_aggregation
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "What is the average track duration for Jazz artists?"
},
{
"role": "assistant",
"content": "Thought: I should examine the available tables to plan my query strategy.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_music_streaming\n-------------------------\nAlbums\nArtists\nPlayHistory\nPlaylistTracks\nPlaylists\nTracks\nUsers"
},
{
"role": "assistant",
"content": "Thought: A AVG function will give the answer.\nAction: execute_sql\n```sql\nSELECT AVG(T3.duration_sec) AS avg_duration FROM Artists AS T1 JOIN Albums AS T2 ON T1.artist_id = T2.artist_id JOIN Tracks AS T3 ON T2.album_id = T3.album_id WHERE T1.genre = 'Jazz';\n```"
},
{
"role": "user",
"content": "Observation:\navg_duration\n------------\n282.8363636363636"
},
{
"role": "assistant",
"content": "Thought: The query executed successfully and returned the results.\nAnswer: The average is 282.8363636363636."
}
] |
4e60fc76-ee87-4394-8e55-419aad9f1329
|
company_hr
|
List all employees in the 'Legal' department.
|
SELECT T1.first_name, T1.last_name, T1.email FROM Employees AS T1 JOIN Departments AS T2 ON T1.department_id = T2.department_id WHERE T2.department_name = 'Legal';
|
Querying
|
easy
|
join_basic
| 4
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "List all employees in the 'Legal' department."
},
{
"role": "assistant",
"content": "Thought: I should examine the available tables to plan my query strategy.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_company_hr\n--------------------\nDepartments\nEmployees\nOffices\nPositions\nProjectMembers\nProjects\nSalaries"
},
{
"role": "assistant",
"content": "Thought: To use `Departments` correctly, I'll first check its column structure.\nAction: execute_sql\n```sql\nDESCRIBE Departments;\n```"
},
{
"role": "user",
"content": "Observation:\nField | Type | Null | Key | Default | Extra\n-------------------------------------------\ndepartment_id | int | NO | PRI | NULL | \ndepartment_name | varchar(255) | NO | | NULL | \noffice_id | int | YES | MUL | NULL | \nbudget | double | YES | | NULL | "
},
{
"role": "assistant",
"content": "Thought: The answer should be in the `Departments` table.\nAction: execute_sql\n```sql\nSELECT T1.first_name, T1.last_name, T1.email FROM Employees AS T1 JOIN Departments AS T2 ON T1.department_id = T2.department_id WHERE T2.department_name = 'Legal';\n```"
},
{
"role": "user",
"content": "Observation:\nfirst_name | last_name | email\n------------------------------\nLatoya | Edwards | latoya.edwards.21@company.com\nAlec | Cochran | alec.cochran.25@company.com\nHannah | Burns | hannah.burns.36@company.com\nChad | Mccarty | chad.mccarty.37@company.com\nJenna | Wells | jenna.wells.44@company.com\nSheila | Matthews | sheila.matthews.45@company.com\nShannon | King | shannon.king.62@company.com\nAustin | Leonard | austin.leonard.74@company.com\nChristopher | Fisher | christopher.fisher.80@company.com\nStephen | Jones | stephen.jones.89@company.com\nHeather | Rivera | heather.rivera.96@company.com\nTimothy | Rogers | timothy.rogers.98@company.com\nKenneth | Hernandez | kenneth.hernandez.104@company.com\nKeith | Johnson | keith.johnson.109@company.com\nGrace | Ball | grace.ball.112@company.com"
},
{
"role": "assistant",
"content": "Thought: The query completed and I have the data needed to answer the question.\nAnswer: The query returned 15 results — see the list above."
}
] |
8fdb654d-84aa-4ff1-9fb2-f649d809f866
|
music_streaming
|
Find artists whose name starts with 'V'.
|
SELECT artist_name, genre, country FROM Artists WHERE artist_name LIKE 'V%';
|
Querying
|
easy
|
pattern_matching
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Find artists whose name starts with 'V'."
},
{
"role": "assistant",
"content": "Thought: I need to first understand the database schema. Let me list all available tables.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_music_streaming\n-------------------------\nAlbums\nArtists\nPlayHistory\nPlaylistTracks\nPlaylists\nTracks\nUsers"
},
{
"role": "assistant",
"content": "Thought: A LIKE clause will filter by the pattern.\nAction: execute_sql\n```sql\nSELECT artist_name, genre, country FROM Artists WHERE artist_name LIKE 'V%';\n```"
},
{
"role": "user",
"content": "Observation:\n(No results returned)"
},
{
"role": "assistant",
"content": "Thought: I got the results from the query. Now I can provide the answer.\nAnswer: There are no results that match the given conditions."
}
] |
783727dc-c48a-4106-83d5-6a82b1d2269d
|
online_retail
|
Calculate the mean price for 'Food & Beverages' products.
|
SELECT AVG(T1.price) AS avg_price FROM Products AS T1 JOIN Categories AS T2 ON T1.category_id = T2.category_id WHERE T2.category_name = 'Food & Beverages';
|
Analysis
|
easy
|
aggregation
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Calculate the mean price for 'Food & Beverages' products."
},
{
"role": "assistant",
"content": "Thought: Before writing any queries, I should explore what tables exist in this database.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_online_retail\n-----------------------\nCategories\nCoupons\nCustomers\nOrderItems\nOrders\nProducts\nReviews"
},
{
"role": "assistant",
"content": "Thought: A AVG function will give the answer.\nAction: execute_sql\n```sql\nSELECT AVG(T1.price) AS avg_price FROM Products AS T1 JOIN Categories AS T2 ON T1.category_id = T2.category_id WHERE T2.category_name = 'Food & Beverages';\n```"
},
{
"role": "user",
"content": "Observation:\navg_price\n---------\n319.81384615384616"
},
{
"role": "assistant",
"content": "Thought: The query executed successfully and returned the results.\nAnswer: The calculated average value is 319.81384615384616."
}
] |
820389b1-bc3a-41c2-ad69-f82561322d89
|
online_retail
|
What is the average review rating for products in the 'Toys' category?
|
SELECT AVG(T3.rating) AS avg_rating FROM Products AS T1 JOIN Categories AS T2 ON T1.category_id = T2.category_id JOIN Reviews AS T3 ON T1.product_id = T3.product_id WHERE T2.category_name = 'Toys';
|
Analysis
|
hard
|
multi_table_aggregation
| 3
| true
| false
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "What is the average review rating for products in the 'Toys' category?"
},
{
"role": "assistant",
"content": "Thought: I'll begin by listing the tables to understand what data is available.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_online_retail\n-----------------------\nCategories\nCoupons\nCustomers\nOrderItems\nOrders\nProducts\nReviews"
},
{
"role": "assistant",
"content": "Thought: A AVG function will give the answer.\nAction: execute_sql\n```sql\nSELECT AVG(T3.rating) AS avg_rating FROM Products AS T1 JOIN Categories AS T2 ON T1.category_id = T2.category_id JOIN Reviews AS T3 ON T1.product_id = T3.product_id WHERE T2.category_name = 'Toys';\n```"
},
{
"role": "user",
"content": "Observation:\navg_rating\n----------\n3.3333333333333335"
},
{
"role": "assistant",
"content": "Thought: The query executed successfully and returned the results.\nAnswer: The calculated average value is 3.3333333333333335."
}
] |
8ae7f2db-623c-4df3-a8e9-010cacf55f78
|
online_retail
|
Which customers have placed more than 2 orders?
|
SELECT T2.first_name, T2.last_name, COUNT(T1.order_id) AS order_count FROM Orders AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T2.customer_id HAVING COUNT(T1.order_id) > 2;
|
Analysis
|
medium
|
group_by_having
| 4
| true
| true
|
[
{
"role": "system",
"content": "You are a database agent that interacts with a MySQL database to answer user questions.\n\nYou have access to the following tools:\n- execute_sql(query): Execute a SQL query against the database and return the results.\n\nFor each step, use the following format:\n\nThought: <your reasoning about what to do next>\nAction: execute_sql\n```sql\n<your SQL query>\n```\n\nAfter receiving the observation (query result), continue reasoning until you can provide a final answer.\n\nWhen you have the final answer, respond with:\nThought: <final reasoning>\nAnswer: <your final answer to the user's question>\n\nGuidelines:\n- Always explore the schema first if you are unsure about table or column names.\n- If a query returns an error, analyze the error and try a corrected query.\n- Use appropriate JOINs when data spans multiple tables.\n- Be concise in your reasoning."
},
{
"role": "user",
"content": "Which customers have placed more than 2 orders?"
},
{
"role": "assistant",
"content": "Thought: Let me explore the database tables before constructing my query.\nAction: execute_sql\n```sql\nSHOW TABLES;\n```"
},
{
"role": "user",
"content": "Observation:\nTables_in_online_retail\n-----------------------\nCategories\nCoupons\nCustomers\nOrderItems\nOrders\nProducts\nReviews"
},
{
"role": "assistant",
"content": "Thought: Now I have enough information to write the SQL query.\nAction: execute_sql\n```sql\nSELECT T2.first_name, T2.last_name, COUNT(T1.order_id) AS order_count FORM Orders AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T2.customer_id HAVING COUNT(T1.order_id) > 2;\n```"
},
{
"role": "user",
"content": "Observation:\nERROR: near \"FORM\": syntax error"
},
{
"role": "assistant",
"content": "Thought: The SQL syntax was wrong. I need to fix the statement structure.\nAction: execute_sql\n```sql\nSELECT T2.first_name, T2.last_name, COUNT(T1.order_id) AS order_count FROM Orders AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T2.customer_id HAVING COUNT(T1.order_id) > 2;\n```"
},
{
"role": "user",
"content": "Observation:\nfirst_name | last_name | order_count\n------------------------------------\nKaitlyn | Barker | 3\nErica | Adams | 6\nCarolyn | Smith | 3\nMichael | King | 4\nErica | Holloway | 5\nChelsea | Evans | 4\nPatricia | Evans | 3\nKathy | Yoder | 3\nLeah | Greene | 3\nVincent | Dillon | 4\nKenneth | Brown | 3\nDerrick | Gonzalez | 3\nTony | Welch | 3\nKathleen | Jackson | 3\nTracy | Gallagher | 3\nJessica | Carlson | 3\nStacy | Hull | 4\nJessica | Lawrence | 3\nNancy | Scott | 3\nBrandon | Vang | 3\n... (33 rows total, showing first 20)"
},
{
"role": "assistant",
"content": "Thought: The results are in. I can now formulate my answer.\nAnswer: There are 33 results in total (first 20 displayed above)."
}
] |
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