1sf/bird-sql-train-with-schema huggingface dataset:
Database: talkingdata
Tables: app_all, app_events, app_events_relevant, app_labels, events, events_relevant, gender_age, gender_age_test, gender_age_train, label_categories, phone_brand_device_model2, sample_submission
Columns (table index, column name): -1, *, 0, app_id, 1, event_id, 1, app_id, 1, is_installed, 1, is_active, 2, event_id, 2, app_id, 2, is_installed, 2, is_active, 3, app_id, 3, label_id, 4, event_id, 4, device_id, 4, timestamp, 4, longitude, 4, latitude, 5, event_id, 5, device_id, 5, timestamp, 5, longitude, 5, latitude, 6, device_id, 6, gender, 6, age, 6, group, 7, device_id, 8, device_id, 8, gender, 8, age, 8, group, 9, label_id, 9, category, 10, device_id, 10, phone_brand, 10, device_model, 11, device_id, 11, F23-, 11, F24-26, 11, F27-28, 11, F29-32, 11, F33-42, 11, F43+, 11, M22-, 11, M23-26, 11, M27-28, 11, M29-31, 11, M32-38, 11, M39+
Question: Please list the models of all the devices with an event under the location coordinates (121, 31).
Evidence: models of the devices refers to device_model; location coordinates (121, 31) refers to longitude = 121 AND latitude = 31;
SQL: SELECT T2.device_model FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.longitude = 121 AND T1.latitude = 31
Database: talkingdata
Tables: app_all, app_events, app_events_relevant, app_labels, events, events_relevant, gender_age, gender_age_test, gender_age_train, label_categories, phone_brand_device_model2, sample_submission
Columns (table index, column name): -1, *, 0, app_id, 1, event_id, 1, app_id, 1, is_installed, 1, is_active, 2, event_id, 2, app_id, 2, is_installed, 2, is_active, 3, app_id, 3, label_id, 4, event_id, 4, device_id, 4, timestamp, 4, longitude, 4, latitude, 5, event_id, 5, device_id, 5, timestamp, 5, longitude, 5, latitude, 6, device_id, 6, gender, 6, age, 6, group, 7, device_id, 8, device_id, 8, gender, 8, age, 8, group, 9, label_id, 9, category, 10, device_id, 10, phone_brand, 10, device_model, 11, device_id, 11, F23-, 11, F24-26, 11, F27-28, 11, F29-32, 11, F33-42, 11, F43+, 11, M22-, 11, M23-26, 11, M27-28, 11, M29-31, 11, M32-38, 11, M39+
Question: What are the top 3 categories with the most app users?
Evidence: most app users refers to MAX(COUNT(app_id));
SQL: SELECT T.category FROM ( SELECT T2.category, COUNT(T1.app_id) AS num FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T1.label_id = T2.label_id GROUP BY T2.category ) AS T ORDER BY T.num DESC LIMIT 3
Database: talkingdata
Tables: app_all, app_events, app_events_relevant, app_labels, events, events_relevant, gender_age, gender_age_test, gender_age_train, label_categories, phone_brand_device_model2, sample_submission
Columns (table index, column name): -1, *, 0, app_id, 1, event_id, 1, app_id, 1, is_installed, 1, is_active, 2, event_id, 2, app_id, 2, is_installed, 2, is_active, 3, app_id, 3, label_id, 4, event_id, 4, device_id, 4, timestamp, 4, longitude, 4, latitude, 5, event_id, 5, device_id, 5, timestamp, 5, longitude, 5, latitude, 6, device_id, 6, gender, 6, age, 6, group, 7, device_id, 8, device_id, 8, gender, 8, age, 8, group, 9, label_id, 9, category, 10, device_id, 10, phone_brand, 10, device_model, 11, device_id, 11, F23-, 11, F24-26, 11, F27-28, 11, F29-32, 11, F33-42, 11, F43+, 11, M22-, 11, M23-26, 11, M27-28, 11, M29-31, 11, M32-38, 11, M39+
Question: Please list the event IDs of the events that have happened on the device of the oldest user.
Evidence: oldest user refers to MAX(age);
SQL: SELECT T2.event_id FROM gender_age AS T1 INNER JOIN events AS T2 ON T1.device_id = T2.device_id ORDER BY T1.age DESC LIMIT 1
Database: talkingdata
Tables: app_all, app_events, app_events_relevant, app_labels, events, events_relevant, gender_age, gender_age_test, gender_age_train, label_categories, phone_brand_device_model2, sample_submission
Columns (table index, column name): -1, *, 0, app_id, 1, event_id, 1, app_id, 1, is_installed, 1, is_active, 2, event_id, 2, app_id, 2, is_installed, 2, is_active, 3, app_id, 3, label_id, 4, event_id, 4, device_id, 4, timestamp, 4, longitude, 4, latitude, 5, event_id, 5, device_id, 5, timestamp, 5, longitude, 5, latitude, 6, device_id, 6, gender, 6, age, 6, group, 7, device_id, 8, device_id, 8, gender, 8, age, 8, group, 9, label_id, 9, category, 10, device_id, 10, phone_brand, 10, device_model, 11, device_id, 11, F23-, 11, F24-26, 11, F27-28, 11, F29-32, 11, F33-42, 11, F43+, 11, M22-, 11, M23-26, 11, M27-28, 11, M29-31, 11, M32-38, 11, M39+
Question: How many events have happened on the device of the youngest female user?
Evidence: youngest refers to MIN(age); female refers to gender = 'F';
SQL: SELECT COUNT(T1.event_id) FROM events AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T2.gender = 'F' GROUP BY T1.event_id, T2.age ORDER BY T2.age LIMIT 1
Database: talkingdata
Tables: app_all, app_events, app_events_relevant, app_labels, events, events_relevant, gender_age, gender_age_test, gender_age_train, label_categories, phone_brand_device_model2, sample_submission
Columns (table index, column name): -1, *, 0, app_id, 1, event_id, 1, app_id, 1, is_installed, 1, is_active, 2, event_id, 2, app_id, 2, is_installed, 2, is_active, 3, app_id, 3, label_id, 4, event_id, 4, device_id, 4, timestamp, 4, longitude, 4, latitude, 5, event_id, 5, device_id, 5, timestamp, 5, longitude, 5, latitude, 6, device_id, 6, gender, 6, age, 6, group, 7, device_id, 8, device_id, 8, gender, 8, age, 8, group, 9, label_id, 9, category, 10, device_id, 10, phone_brand, 10, device_model, 11, device_id, 11, F23-, 11, F24-26, 11, F27-28, 11, F29-32, 11, F33-42, 11, F43+, 11, M22-, 11, M23-26, 11, M27-28, 11, M29-31, 11, M32-38, 11, M39+
Question: Among the devices on which an event happened on 2016/5/1, how many of them are used by a male user?
Evidence: on 2016/5/1 refers to timestamp = '2016-05-01'; male refers to gender = 'M';
SQL: SELECT COUNT(T1.device_id) FROM events AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T1.timestamp = '2016-05-01' AND T2.gender = 'M'
Database: talkingdata
Tables: app_all, app_events, app_events_relevant, app_labels, events, events_relevant, gender_age, gender_age_test, gender_age_train, label_categories, phone_brand_device_model2, sample_submission
Columns (table index, column name): -1, *, 0, app_id, 1, event_id, 1, app_id, 1, is_installed, 1, is_active, 2, event_id, 2, app_id, 2, is_installed, 2, is_active, 3, app_id, 3, label_id, 4, event_id, 4, device_id, 4, timestamp, 4, longitude, 4, latitude, 5, event_id, 5, device_id, 5, timestamp, 5, longitude, 5, latitude, 6, device_id, 6, gender, 6, age, 6, group, 7, device_id, 8, device_id, 8, gender, 8, age, 8, group, 9, label_id, 9, category, 10, device_id, 10, phone_brand, 10, device_model, 11, device_id, 11, F23-, 11, F24-26, 11, F27-28, 11, F29-32, 11, F33-42, 11, F43+, 11, M22-, 11, M23-26, 11, M27-28, 11, M29-31, 11, M32-38, 11, M39+
Question: Which category has more app users, Securities or Finance?
Evidence: more app users refers to SUBTRACT(IF(SUM(category = 'Securities'), SUM(category = 'Finance')) > 0,'Securities','Finance') as more;
SQL: SELECT IIF(SUM(IIF(T2.category = 'Securities', 1, 0)) - SUM(IIF(T2.category = 'Finance', 1, 0)) > 0, 'Securities', 'Finance') AS diff FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T1.label_id = T2.label_id
Database: talkingdata
Tables: app_all, app_events, app_events_relevant, app_labels, events, events_relevant, gender_age, gender_age_test, gender_age_train, label_categories, phone_brand_device_model2, sample_submission
Columns (table index, column name): -1, *, 0, app_id, 1, event_id, 1, app_id, 1, is_installed, 1, is_active, 2, event_id, 2, app_id, 2, is_installed, 2, is_active, 3, app_id, 3, label_id, 4, event_id, 4, device_id, 4, timestamp, 4, longitude, 4, latitude, 5, event_id, 5, device_id, 5, timestamp, 5, longitude, 5, latitude, 6, device_id, 6, gender, 6, age, 6, group, 7, device_id, 8, device_id, 8, gender, 8, age, 8, group, 9, label_id, 9, category, 10, device_id, 10, phone_brand, 10, device_model, 11, device_id, 11, F23-, 11, F24-26, 11, F27-28, 11, F29-32, 11, F33-42, 11, F43+, 11, M22-, 11, M23-26, 11, M27-28, 11, M29-31, 11, M32-38, 11, M39+
Question: Please list the device models of all the devices used by a user in the M23-26 user group.
Evidence: M23-26 user group refers to `group` = 'M23-26';
SQL: SELECT T2.device_model FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'M23-26'
Database: talkingdata
Tables: app_all, app_events, app_events_relevant, app_labels, events, events_relevant, gender_age, gender_age_test, gender_age_train, label_categories, phone_brand_device_model2, sample_submission
Columns (table index, column name): -1, *, 0, app_id, 1, event_id, 1, app_id, 1, is_installed, 1, is_active, 2, event_id, 2, app_id, 2, is_installed, 2, is_active, 3, app_id, 3, label_id, 4, event_id, 4, device_id, 4, timestamp, 4, longitude, 4, latitude, 5, event_id, 5, device_id, 5, timestamp, 5, longitude, 5, latitude, 6, device_id, 6, gender, 6, age, 6, group, 7, device_id, 8, device_id, 8, gender, 8, age, 8, group, 9, label_id, 9, category, 10, device_id, 10, phone_brand, 10, device_model, 11, device_id, 11, F23-, 11, F24-26, 11, F27-28, 11, F29-32, 11, F33-42, 11, F43+, 11, M22-, 11, M23-26, 11, M27-28, 11, M29-31, 11, M32-38, 11, M39+
Question: What is the average age of the female users who uses a vivo device?
Evidence: average age = AVG(age); female refers to gender = 'F'; vivo device refers to phone_brand = 'vivo';
SQL: SELECT AVG(T1.age) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo' AND T1.gender = 'F'
Database: talkingdata
Tables: app_all, app_events, app_events_relevant, app_labels, events, events_relevant, gender_age, gender_age_test, gender_age_train, label_categories, phone_brand_device_model2, sample_submission
Columns (table index, column name): -1, *, 0, app_id, 1, event_id, 1, app_id, 1, is_installed, 1, is_active, 2, event_id, 2, app_id, 2, is_installed, 2, is_active, 3, app_id, 3, label_id, 4, event_id, 4, device_id, 4, timestamp, 4, longitude, 4, latitude, 5, event_id, 5, device_id, 5, timestamp, 5, longitude, 5, latitude, 6, device_id, 6, gender, 6, age, 6, group, 7, device_id, 8, device_id, 8, gender, 8, age, 8, group, 9, label_id, 9, category, 10, device_id, 10, phone_brand, 10, device_model, 11, device_id, 11, F23-, 11, F24-26, 11, F27-28, 11, F29-32, 11, F33-42, 11, F43+, 11, M22-, 11, M23-26, 11, M27-28, 11, M29-31, 11, M32-38, 11, M39+
Question: What is the ratio of female users to male users who uses a vivo device?
Evidence: ratio = DIVIDE(SUM(gender = 'M' WHERE phone_brand = 'vivo'), SUM(gender = 'F' WHERE phone_brand = 'vivo')); female refers to gender = 'F'; male refers to gender = 'M'; vivo device refers to phone_brand = 'vivo';
SQL: SELECT SUM(IIF(T1.gender = 'M', 1, 0)) / SUM(IIF(T1.gender = 'F', 1, 0)) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo'
Database: talkingdata
Tables: app_all, app_events, app_events_relevant, app_labels, events, events_relevant, gender_age, gender_age_test, gender_age_train, label_categories, phone_brand_device_model2, sample_submission
Columns (table index, column name): -1, *, 0, app_id, 1, event_id, 1, app_id, 1, is_installed, 1, is_active, 2, event_id, 2, app_id, 2, is_installed, 2, is_active, 3, app_id, 3, label_id, 4, event_id, 4, device_id, 4, timestamp, 4, longitude, 4, latitude, 5, event_id, 5, device_id, 5, timestamp, 5, longitude, 5, latitude, 6, device_id, 6, gender, 6, age, 6, group, 7, device_id, 8, device_id, 8, gender, 8, age, 8, group, 9, label_id, 9, category, 10, device_id, 10, phone_brand, 10, device_model, 11, device_id, 11, F23-, 11, F24-26, 11, F27-28, 11, F29-32, 11, F33-42, 11, F43+, 11, M22-, 11, M23-26, 11, M27-28, 11, M29-31, 11, M32-38, 11, M39+
Question: What is the ratio of the number of app users that belong to the Securities category to the number of app users that belong to the Finance category?
Evidence: ratio = DIVIDE(SUM(category = 'Securities'), SUM(category = 'Finance'));
SQL: SELECT SUM(IIF(T2.category = 'Securities', 1, 0)) / SUM(IIF(T2.category = 'Finance', 1, 0)) AS per FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T1.label_id = T2.label_id
Database: talkingdata
Tables: app_all, app_events, app_events_relevant, app_labels, events, events_relevant, gender_age, gender_age_test, gender_age_train, label_categories, phone_brand_device_model2, sample_submission
Columns (table index, column name): -1, *, 0, app_id, 1, event_id, 1, app_id, 1, is_installed, 1, is_active, 2, event_id, 2, app_id, 2, is_installed, 2, is_active, 3, app_id, 3, label_id, 4, event_id, 4, device_id, 4, timestamp, 4, longitude, 4, latitude, 5, event_id, 5, device_id, 5, timestamp, 5, longitude, 5, latitude, 6, device_id, 6, gender, 6, age, 6, group, 7, device_id, 8, device_id, 8, gender, 8, age, 8, group, 9, label_id, 9, category, 10, device_id, 10, phone_brand, 10, device_model, 11, device_id, 11, F23-, 11, F24-26, 11, F27-28, 11, F29-32, 11, F33-42, 11, F43+, 11, M22-, 11, M23-26, 11, M27-28, 11, M29-31, 11, M32-38, 11, M39+
Question: What is the label ID of "Third-party card management" category?
SQL: SELECT label_id FROM label_categories WHERE category = 'Third-party card management'
Database: talkingdata
Tables: app_all, app_events, app_events_relevant, app_labels, events, events_relevant, gender_age, gender_age_test, gender_age_train, label_categories, phone_brand_device_model2, sample_submission
Columns (table index, column name): -1, *, 0, app_id, 1, event_id, 1, app_id, 1, is_installed, 1, is_active, 2, event_id, 2, app_id, 2, is_installed, 2, is_active, 3, app_id, 3, label_id, 4, event_id, 4, device_id, 4, timestamp, 4, longitude, 4, latitude, 5, event_id, 5, device_id, 5, timestamp, 5, longitude, 5, latitude, 6, device_id, 6, gender, 6, age, 6, group, 7, device_id, 8, device_id, 8, gender, 8, age, 8, group, 9, label_id, 9, category, 10, device_id, 10, phone_brand, 10, device_model, 11, device_id, 11, F23-, 11, F24-26, 11, F27-28, 11, F29-32, 11, F33-42, 11, F43+, 11, M22-, 11, M23-26, 11, M27-28, 11, M29-31, 11, M32-38, 11, M39+
Question: What is the ratio of active and inactive app users of the event ID "58"?
Evidence: ratio = DIVIDE(SUM(is_active = 1), SUM(is_active = 0)); active refers to is_active = 1; inactive refers to is_active = 0;
SQL: SELECT SUM(IIF(is_active = 1, 1, 0)) / SUM(IIF(is_active = 0, 1, 0)) AS per FROM app_events WHERE event_id = 58
Database: talkingdata
Tables: app_all, app_events, app_events_relevant, app_labels, events, events_relevant, gender_age, gender_age_test, gender_age_train, label_categories, phone_brand_device_model2, sample_submission
Columns (table index, column name): -1, *, 0, app_id, 1, event_id, 1, app_id, 1, is_installed, 1, is_active, 2, event_id, 2, app_id, 2, is_installed, 2, is_active, 3, app_id, 3, label_id, 4, event_id, 4, device_id, 4, timestamp, 4, longitude, 4, latitude, 5, event_id, 5, device_id, 5, timestamp, 5, longitude, 5, latitude, 6, device_id, 6, gender, 6, age, 6, group, 7, device_id, 8, device_id, 8, gender, 8, age, 8, group, 9, label_id, 9, category, 10, device_id, 10, phone_brand, 10, device_model, 11, device_id, 11, F23-, 11, F24-26, 11, F27-28, 11, F29-32, 11, F33-42, 11, F43+, 11, M22-, 11, M23-26, 11, M27-28, 11, M29-31, 11, M32-38, 11, M39+
Question: How many events did the device ID "3915082290673130000" join?
SQL: SELECT COUNT(event_id) FROM events WHERE device_id = 3915082290673130000
Database: talkingdata
Tables: app_all, app_events, app_events_relevant, app_labels, events, events_relevant, gender_age, gender_age_test, gender_age_train, label_categories, phone_brand_device_model2, sample_submission
Columns (table index, column name): -1, *, 0, app_id, 1, event_id, 1, app_id, 1, is_installed, 1, is_active, 2, event_id, 2, app_id, 2, is_installed, 2, is_active, 3, app_id, 3, label_id, 4, event_id, 4, device_id, 4, timestamp, 4, longitude, 4, latitude, 5, event_id, 5, device_id, 5, timestamp, 5, longitude, 5, latitude, 6, device_id, 6, gender, 6, age, 6, group, 7, device_id, 8, device_id, 8, gender, 8, age, 8, group, 9, label_id, 9, category, 10, device_id, 10, phone_brand, 10, device_model, 11, device_id, 11, F23-, 11, F24-26, 11, F27-28, 11, F29-32, 11, F33-42, 11, F43+, 11, M22-, 11, M23-26, 11, M27-28, 11, M29-31, 11, M32-38, 11, M39+
Question: Calculate the percentage of male users among all device users.
Evidence: percentage = DVIDE(SUM(gender = 'M'), COUNT(device_id)); male refers to gender = 'M';
SQL: SELECT SUM(IIF(gender = 'M', 1, 0)) / COUNT(device_id) AS per FROM gender_age
Database: talkingdata
Tables: app_all, app_events, app_events_relevant, app_labels, events, events_relevant, gender_age, gender_age_test, gender_age_train, label_categories, phone_brand_device_model2, sample_submission
Columns (table index, column name): -1, *, 0, app_id, 1, event_id, 1, app_id, 1, is_installed, 1, is_active, 2, event_id, 2, app_id, 2, is_installed, 2, is_active, 3, app_id, 3, label_id, 4, event_id, 4, device_id, 4, timestamp, 4, longitude, 4, latitude, 5, event_id, 5, device_id, 5, timestamp, 5, longitude, 5, latitude, 6, device_id, 6, gender, 6, age, 6, group, 7, device_id, 8, device_id, 8, gender, 8, age, 8, group, 9, label_id, 9, category, 10, device_id, 10, phone_brand, 10, device_model, 11, device_id, 11, F23-, 11, F24-26, 11, F27-28, 11, F29-32, 11, F33-42, 11, F43+, 11, M22-, 11, M23-26, 11, M27-28, 11, M29-31, 11, M32-38, 11, M39+
Question: How many events were participated by the users at longitude of "-156"?
SQL: SELECT COUNT(event_id) FROM events WHERE longitude = -156
Database: talkingdata
Tables: app_all, app_events, app_events_relevant, app_labels, events, events_relevant, gender_age, gender_age_test, gender_age_train, label_categories, phone_brand_device_model2, sample_submission
Columns (table index, column name): -1, *, 0, app_id, 1, event_id, 1, app_id, 1, is_installed, 1, is_active, 2, event_id, 2, app_id, 2, is_installed, 2, is_active, 3, app_id, 3, label_id, 4, event_id, 4, device_id, 4, timestamp, 4, longitude, 4, latitude, 5, event_id, 5, device_id, 5, timestamp, 5, longitude, 5, latitude, 6, device_id, 6, gender, 6, age, 6, group, 7, device_id, 8, device_id, 8, gender, 8, age, 8, group, 9, label_id, 9, category, 10, device_id, 10, phone_brand, 10, device_model, 11, device_id, 11, F23-, 11, F24-26, 11, F27-28, 11, F29-32, 11, F33-42, 11, F43+, 11, M22-, 11, M23-26, 11, M27-28, 11, M29-31, 11, M32-38, 11, M39+
Question: How many app users belong to label ID of "48"?
SQL: SELECT COUNT(app_id) FROM app_labels WHERE label_id = 48
Database: talkingdata
Tables: app_all, app_events, app_events_relevant, app_labels, events, events_relevant, gender_age, gender_age_test, gender_age_train, label_categories, phone_brand_device_model2, sample_submission
Columns (table index, column name): -1, *, 0, app_id, 1, event_id, 1, app_id, 1, is_installed, 1, is_active, 2, event_id, 2, app_id, 2, is_installed, 2, is_active, 3, app_id, 3, label_id, 4, event_id, 4, device_id, 4, timestamp, 4, longitude, 4, latitude, 5, event_id, 5, device_id, 5, timestamp, 5, longitude, 5, latitude, 6, device_id, 6, gender, 6, age, 6, group, 7, device_id, 8, device_id, 8, gender, 8, age, 8, group, 9, label_id, 9, category, 10, device_id, 10, phone_brand, 10, device_model, 11, device_id, 11, F23-, 11, F24-26, 11, F27-28, 11, F29-32, 11, F33-42, 11, F43+, 11, M22-, 11, M23-26, 11, M27-28, 11, M29-31, 11, M32-38, 11, M39+
Question: How many category names start with the word "game"?
Evidence: category names refers to category; start with the word game refers to category like 'game%';
SQL: SELECT COUNT(label_id) FROM label_categories WHERE category LIKE 'game%'
Database: talkingdata
Tables: app_all, app_events, app_events_relevant, app_labels, events, events_relevant, gender_age, gender_age_test, gender_age_train, label_categories, phone_brand_device_model2, sample_submission
Columns (table index, column name): -1, *, 0, app_id, 1, event_id, 1, app_id, 1, is_installed, 1, is_active, 2, event_id, 2, app_id, 2, is_installed, 2, is_active, 3, app_id, 3, label_id, 4, event_id, 4, device_id, 4, timestamp, 4, longitude, 4, latitude, 5, event_id, 5, device_id, 5, timestamp, 5, longitude, 5, latitude, 6, device_id, 6, gender, 6, age, 6, group, 7, device_id, 8, device_id, 8, gender, 8, age, 8, group, 9, label_id, 9, category, 10, device_id, 10, phone_brand, 10, device_model, 11, device_id, 11, F23-, 11, F24-26, 11, F27-28, 11, F29-32, 11, F33-42, 11, F43+, 11, M22-, 11, M23-26, 11, M27-28, 11, M29-31, 11, M32-38, 11, M39+
Question: Provide the number of events participated by the device users at coordinates of (80,37).
Evidence: coordinates of (80,37) refers to longitude = 80 and latitude = 37;
SQL: SELECT COUNT(event_id) FROM events WHERE longitude = 80 AND latitude = 37
Database: talkingdata
Tables: app_all, app_events, app_events_relevant, app_labels, events, events_relevant, gender_age, gender_age_test, gender_age_train, label_categories, phone_brand_device_model2, sample_submission
Columns (table index, column name): -1, *, 0, app_id, 1, event_id, 1, app_id, 1, is_installed, 1, is_active, 2, event_id, 2, app_id, 2, is_installed, 2, is_active, 3, app_id, 3, label_id, 4, event_id, 4, device_id, 4, timestamp, 4, longitude, 4, latitude, 5, event_id, 5, device_id, 5, timestamp, 5, longitude, 5, latitude, 6, device_id, 6, gender, 6, age, 6, group, 7, device_id, 8, device_id, 8, gender, 8, age, 8, group, 9, label_id, 9, category, 10, device_id, 10, phone_brand, 10, device_model, 11, device_id, 11, F23-, 11, F24-26, 11, F27-28, 11, F29-32, 11, F33-42, 11, F43+, 11, M22-, 11, M23-26, 11, M27-28, 11, M29-31, 11, M32-38, 11, M39+
Question: List down the labels' IDs and categories of the app ID "5758400314709850000".
SQL: SELECT T1.label_id, T2.category FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T1.label_id = T2.label_id WHERE T1.app_id = 5758400314709850000
Database: talkingdata
Tables: app_all, app_events, app_events_relevant, app_labels, events, events_relevant, gender_age, gender_age_test, gender_age_train, label_categories, phone_brand_device_model2, sample_submission
Columns (table index, column name): -1, *, 0, app_id, 1, event_id, 1, app_id, 1, is_installed, 1, is_active, 2, event_id, 2, app_id, 2, is_installed, 2, is_active, 3, app_id, 3, label_id, 4, event_id, 4, device_id, 4, timestamp, 4, longitude, 4, latitude, 5, event_id, 5, device_id, 5, timestamp, 5, longitude, 5, latitude, 6, device_id, 6, gender, 6, age, 6, group, 7, device_id, 8, device_id, 8, gender, 8, age, 8, group, 9, label_id, 9, category, 10, device_id, 10, phone_brand, 10, device_model, 11, device_id, 11, F23-, 11, F24-26, 11, F27-28, 11, F29-32, 11, F33-42, 11, F43+, 11, M22-, 11, M23-26, 11, M27-28, 11, M29-31, 11, M32-38, 11, M39+
Question: List down the app IDs under the category of game-Rowing .
SQL: SELECT T2.app_id FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T1.category = 'game-Rowing'
Database: talkingdata
Tables: app_all, app_events, app_events_relevant, app_labels, events, events_relevant, gender_age, gender_age_test, gender_age_train, label_categories, phone_brand_device_model2, sample_submission
Columns (table index, column name): -1, *, 0, app_id, 1, event_id, 1, app_id, 1, is_installed, 1, is_active, 2, event_id, 2, app_id, 2, is_installed, 2, is_active, 3, app_id, 3, label_id, 4, event_id, 4, device_id, 4, timestamp, 4, longitude, 4, latitude, 5, event_id, 5, device_id, 5, timestamp, 5, longitude, 5, latitude, 6, device_id, 6, gender, 6, age, 6, group, 7, device_id, 8, device_id, 8, gender, 8, age, 8, group, 9, label_id, 9, category, 10, device_id, 10, phone_brand, 10, device_model, 11, device_id, 11, F23-, 11, F24-26, 11, F27-28, 11, F29-32, 11, F33-42, 11, F43+, 11, M22-, 11, M23-26, 11, M27-28, 11, M29-31, 11, M32-38, 11, M39+
Question: What are the label IDs and app IDs of the Chinese Classical Mythology category?
SQL: SELECT T1.label_id, T2.app_id FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T1.category = 'Chinese Classical Mythology'