db_id stringlengths 22 75 | question stringlengths 45 1.68k | gold_sql stringlengths 43 4.71k | source stringclasses 1
value | evidence stringlengths 0 828 | schema_text stringlengths 352 10.4k |
|---|---|---|---|---|---|
climate_data_analysis_and_prediction | What are the names of the top 5 regions with the highest average rainfall anomalies over the past 5 years and the names of the top 5 users who have accessed records from these regions the most? | WITH RainfallAnomalies AS (
SELECT
c.region_id,
c.rainfall_mm
FROM climate_data c
WHERE c.anomaly_rainfall = 1
AND c.year >= (SELECT MAX(year) - 5 FROM climate_data)
),
TopRegions AS (
SELECT
r.region_id,
r.region_name,
AVG(ra.rainfall_mm) AS avg_rainfall
... | synsql | 【DB_ID】 climate_data_analysis_and_prediction
# Table: climate_data
[
(record_id:INTEGER, PK, examples=[0, 1]),
(anomaly_rainfall:INTEGER, examples=[1, 0]),
(area:INTEGER, examples=[1]),
(day:INTEGER, examples=[1]),
(fcg:INTEGER, examples=[1]),
(fatalities:INTEGER, examples=[1, 0]),
(latitude:REAL, example... | |
healthcare_and_medication_management | What is the most commonly prescribed medication among all patients? | SELECT
m.medication_name,
COUNT(p.prescription_id) AS prescription_count
FROM
medications m
JOIN
prescriptions p ON m.medication_id = p.medication_id
GROUP BY
m.medication_name
ORDER BY
prescription_count DESC
LIMIT 1; | synsql | - The term "most commonly prescribed" refers to the medication with the highest number of prescription records in the database;
- The query considers all patients and all prescriptions to determine this information. | 【DB_ID】 healthcare_and_medication_management
# Table: patients
[
(patient_id:INTEGER, PK, examples=[0, 1]),
(first_name:TEXT, examples=['John', 'Jane']),
(last_name:TEXT, examples=['Doe', 'Smith']),
(date_of_birth:TEXT, examples=['1990-01-01', '1992-02-02']),
(contact_email:TEXT, examples=['john.doe@example.c... |
financial_product_performance_and_barrier_event_analysis | Hey! Could you give me a list of all the products with a high risk level? I need their names, how many times their barriers have been hit, their average barrier hit ratio, and the latest value they had. I want to see this sorted by the number of barrier hits, from the most to the least. | WITH HighRiskProducts AS (
SELECT p.product_id, p.product_name
FROM products p
JOIN risk_assessments ra ON p.product_id = ra.product_id
WHERE ra.risk_level = 'High'
),
BarrierHits AS (
SELECT
product_id,
COUNT(event_id) AS barrier_hit_count
FROM barrier_events
GROUP BY produ... | synsql | 【DB_ID】 financial_product_performance_and_barrier_event_analysis
# Table: products
[
(product_id:INTEGER, PK, examples=[0, 1]),
(product_name:TEXT, examples=['Bonus Certificates', 'Bonus Classic']),
(product_type_id:INTEGER, examples=[0]),
(issuance_date:TEXT, examples=['2020-01-01']),
(maturity_date:TEXT, ex... | |
conference_session_management_and_scheduling | **User**: I want to get details about sessions.
**Assistant**: What type of sessions are you interested in?
**User**: Sessions where speakers have expertise in Cloud architecture.
**Assistant**: Do you need any specific information about the speakers?
**User**: Just their roles and areas of expertise.
**Assistant**: Wh... | WITH SpeakerSessionCTE AS (
SELECT
s.session_id,
s.title,
s.date,
s.location_id,
GROUP_CONCAT(sp.session_role, ', ') AS speaker_roles,
GROUP_CONCAT(sp.expertise, ', ') AS speaker_expertises
FROM sessions s
INNER JOIN speakers sp ON s.session_id = sp.session_i... | synsql | 【DB_ID】 conference_session_management_and_scheduling
# Table: sessions
[
(session_id:INTEGER, PK, examples=[0, 1]),
(title:TEXT, examples=['Registration', 'Enabling Cloud Adoption with a Business Enablement Platform']),
(date:TEXT, examples=['2022-08-01']),
(start_time:TEXT, examples=['07:00:00', '11:00:00']),
... | |
technology_trends_and_mentions_analytics | Could you please provide a yearly summary of technology trends, including the technology name, year, total mentions, average sentiment score, average reliability score, current rank, last year's rank, and the change in rank, ordered by year and rank? | WITH YearlyTechStats AS (
SELECT
t.tech_id,
t.tech_name,
m.year,
SUM(m.mentions_count) AS total_mentions,
AVG(m.sentiment_score) AS average_sentiment,
AVG(ms.reliability_score) AS average_reliability,
RANK() OVER (PARTITION BY m.year ORDER BY SUM(m.mentions_c... | synsql | 【DB_ID】 technology_trends_and_mentions_analytics
# Table: technologies
[
(tech_id:INTEGER, PK, examples=[0, 1]),
(tech_name:TEXT, examples=['Pandas', 'Grafana']),
(description:TEXT, examples=['Data manipulation and analysis library for Python.', 'Open-source platform for monitoring and observability.']),
(categ... | |
healthcare_data_management_and_analysis_330858 | Which are the top 5 hospitals with the highest readmission rates and what are their average total charges, readmission rates, readmission ranks, discharge counts, average patient ages, average education levels, average income levels, and male to female patient ratios? | WITH DischargeStats AS (
SELECT
d.provider_id,
h.provider_name,
AVG(d.average_total_payments) AS avg_total_charges,
SUM(CASE WHEN d.readmission_flag = 'Yes' THEN 1 ELSE 0 END) * 1.0 / COUNT(*) AS readmission_rate,
COUNT(*) AS discharge_count
FROM
discharge_data d
... | synsql | ; Readmission rate is a measure of the percentage of patients who return to the hospital within a certain time period after being discharged; A higher readmission rate may indicate lower quality of care; Average total charges and discharge counts can provide insight into the financial burden and volume of patients for ... | 【DB_ID】 healthcare_data_management_and_analysis_330858
# Table: hospitals
[
(provider_id:INTEGER, PK, examples=[0, 1]),
(provider_name:TEXT, examples=['Baylor Medical Center at Waxahachie', 'Methodist Hospital']),
(street_address:TEXT, examples=['1405 W Jefferson St', '7700 Floyd Curl Dr']),
(city:TEXT, example... |
early_childhood_education_and_care_planning | Find the total required hours of early education for 3-year-olds in each area, along with the area's name, and return the results in descending order of the required hours. | SELECT
a.area_name,
p.three_year_old_places * r.required_hours AS total_three_year_old_hours_required
FROM
areas a
JOIN
dwellings d ON a.area_id = d.area_id
JOIN
pupil_projections p ON d.dwelling_id = p.dwelling_id
JOIN
education_requirements r ON p.requirement_id = r.requirement_id
WHERE
... | synsql | 【DB_ID】 early_childhood_education_and_care_planning
# Table: dwellings
[
(dwelling_id:INTEGER, PK, examples=[0, 1]),
(area_id:INTEGER, examples=[1]),
(num_dwellings:INTEGER, examples=[100, 120]),
(population_density:REAL, examples=[1500.0, 1800.0]),
(average_family_size:REAL, examples=[3.5, 4.0]),
(year_bui... | |
e_commerce_shipping_cost_estimation_and_management | What are the average shipping costs for customer with ID 0 in Switzerland, grouped by order value ranges? | WITH CustomerOrders AS (
SELECT
o.order_id,
o.order_value,
o.shipping_cost,
sc.order_value_min,
sc.order_value_max,
sc.cost
FROM orders o
JOIN shipping_options so ON o.shipping_id = so.shipping_id
JOIN shipping_costs sc ON o.shipping_id = sc.shipping_id
... | synsql | 【DB_ID】 e_commerce_shipping_cost_estimation_and_management
# Table: shipping_options
[
(shipping_id:INTEGER, PK, examples=[0, 1]),
(region:TEXT, examples=['Switzerland']),
(option_name:TEXT, examples=['Priority', 'Economy']),
(description:TEXT, examples=['Priority shipping within Switzerland', 'Economy shipping... | |
medical_imaging_and_abnormality_detection | Find the latest abnormality for each patient, along with the pathology classification and the total number of comments for that abnormality, ordered by the total number of comments in descending order and then by the patient's name. | WITH RankedAbnormalities AS (
SELECT
a.abnormality_id,
a.patient_id,
p.first_name || ' ' || p.last_name AS patient_name,
a.pathology,
a.detection_date,
ROW_NUMBER() OVER (PARTITION BY a.patient_id ORDER BY a.detection_date DESC) AS rn
FROM abnormalities a
JOI... | synsql | 【DB_ID】 medical_imaging_and_abnormality_detection
# Table: patients
[
(patient_id:TEXT, PK, examples=['0', '1']),
(first_name:TEXT, examples=['Jane', 'John']),
(last_name:TEXT, examples=['Doe', 'Smith']),
(date_of_birth:TEXT, examples=['1975-06-15', '1980-10-20']),
(gender:TEXT, examples=['Female', 'Male']),
... | |
flight_data_and_delay_management | Could you calculate the percentage of flights that have the highest claim amount? | WITH MaxClaimAmount AS (
SELECT
MAX(claim_amount) AS max_claim_amount
FROM claims
),
FlightsWithMaxClaim AS (
SELECT
f.flight_id
FROM flights f
JOIN claims c ON f.flight_id = c.flight_id
WHERE c.claim_amount = (SELECT max_claim_amount FROM MaxClaimAmount)
)
SELECT
CAST(COUNT(fwm.flight_id) AS R... | synsql | 【DB_ID】 flight_data_and_delay_management
# Table: flights
[
(flight_id:INTEGER, PK, examples=[0, 1]),
(flight_no:TEXT, examples=['UO686', 'CI7868']),
(airline_id:INTEGER, examples=[0]),
(departure_airport_id:INTEGER, examples=[0, 1]),
(arrival_airport_id:INTEGER, examples=[1, 0]),
(std_hour:INTEGER, example... | |
fashion_and_apparel_sizing_119386 | Find the top-ranked size categories based on customer recommendations, along with corresponding product names, total stock levels, and brand performance; ordered by the number of recommendations and available stock. | WITH SizeRecommendations AS (
SELECT
s.size_name,
s.size_code,
p.product_name,
COUNT(*) AS recommendation_count
FROM
customer_fit_recommendations r
JOIN
products p ON r.product_id = p.product_id
JOIN
sizes s ON p.size_id = s.size_id
GROUP BY
... | synsql | ; This question assumes that 'top-ranked' refers to the highest cumulative recommendation count; The brand performance is measured by the cumulative recommendation count for each size and brand combination; The query also implies that the available stock is an important factor in determining the rank of size categories... | 【DB_ID】 fashion_and_apparel_sizing_119386
# Table: sizes
[
(size_id:INTEGER, PK, examples=[0, 1]),
(size_name:TEXT, examples=['Small', 'Medium']),
(size_code:TEXT, examples=['S', 'M']),
(brand_id:INTEGER, examples=[0, 1]),
(description:TEXT, examples=['Standard small size for Brand A', 'Standard medium size f... |
employee_management_and_hr_database | **User**: I want to see some information about our company's departments.
**Assistant**: Sure, what specific information about the departments are you interested in?
**User**: I am looking for the names of the departments along with the number of employees in each department.
**Assistant**: Got it. Do you also want to ... | SELECT
d.department_name,
COUNT(e.employee_id) AS employee_count,
RANK() OVER (ORDER BY COUNT(e.employee_id) DESC) AS department_rank
FROM
employees e
JOIN
departments d ON e.department_id = d.department_id
GROUP BY
d.department_id, d.department_name
ORDER BY
employee_count DESC; | synsql | 【DB_ID】 employee_management_and_hr_database
# Table: employees
[
(employee_id:INTEGER, PK, examples=[0, 1]),
(name:TEXT, examples=['Tiger Nixon', 'Garrett Winters']),
(position:TEXT, examples=['0']),
(office:TEXT, examples=['0', '1']),
(age:INTEGER, examples=[61, 63]),
(start_date:TEXT, examples=['2011-04-2... | |
e_commerce_sales_and_inventory_management_958357 | Could you please identify the top-performing product in each category based on total sales, and also provide the average sales for each category? I need the category ID, category name, product name, total sales, and the average sales of the category. | WITH ProductSales AS (
SELECT
p.product_id,
p.product_name,
p.category_id,
SUM(o.sales) AS total_sales
FROM orders o
JOIN products p ON o.product_id = p.product_id
GROUP BY p.product_id, p.product_name, p.category_id
),
CategoryAvgSales AS (
SELECT
p.cate... | synsql | 【DB_ID】 e_commerce_sales_and_inventory_management_958357
# Table: orders
[
(order_id:INTEGER, PK, examples=[0, 1]),
(customer_id:INTEGER, examples=[1, 2]),
(product_id:INTEGER, examples=[1]),
(quantity:INTEGER, examples=[1, 3]),
(sales:REAL, examples=[2.12, 2.97]),
(discount:REAL, examples=[0.0]),
(cost_o... | |
audio_filter_configuration_and_management | What are the names of the projects, and how do they compare in terms of the total number of configurations, the number of active configurations, the average frequency of configurations, and the number of distinct creators? | WITH TotalConfigs AS (
SELECT
p.project_id,
COUNT(fc.config_id) AS total_configs
FROM projects p
LEFT JOIN filter_configurations fc ON p.project_id = fc.project_id
GROUP BY p.project_id
),
ActiveConfigs AS (
SELECT
p.project_id,
COUNT(fc.config_id) AS active_configs... | synsql | - Active configurations are those where `is_active` is set to 1;
- The frequency value represents how often a configuration is used;
- Distinct creators are unique user IDs who have created at least one filter configuration. | 【DB_ID】 audio_filter_configuration_and_management
# Table: filters
[
(filter_id:INTEGER, PK, examples=[0, 1]),
(type:TEXT, examples=['lowpass', 'highpass']),
(description:TEXT, examples=['Standard second-order resonant lowpass filter with 12dB/octave rolloff. Frequencies below the cutoff pass through; frequencies... |
television_series_episode_cast_and_characters | Could you please provide the titles, average ratings, and total views for each episode, sorted by the episode titles in alphabetical order? I would like to know these details for analysis purposes. | SELECT
e.episode_title,
COALESCE(er.average_rating, 0) AS average_rating,
COALESCE(COUNT(al.access_id), 0) AS total_views
FROM
episodes e
LEFT JOIN
episode_ratings er ON e.episode_id = er.episode_id
LEFT JOIN
access_logs al ON e.episode_id = al.episode_id AND al.access_type = 'view'
GROUP BY... | synsql | 【DB_ID】 television_series_episode_cast_and_characters
# Table: tv_series
[
(series_id:INTEGER, PK, examples=[0, 1]),
(series_title:TEXT, examples=['Jericho', 'Supernatural']),
(start_year:INTEGER, examples=[2006, 2005]),
(end_year:INTEGER, examples=[2008, 2020]),
(genre:TEXT, examples=['Science Fiction', 'Fan... | |
demographic_and_economic_data_for_us_counties_159057 | Could you provide a list of counties where the percentage of high school graduates is over 80% and the validation score is greater than 90, including the county name, the percentage of high school graduates, the data sources used, the validation score, and the total population, and order the results by the percentage o... | WITH
HighSchoolGraduates AS (
SELECT
c.county_id,
c.county_name,
c.total_population,
e.high_school_graduates
FROM
counties c
JOIN
education_data e ON c.county_id = e.county_id
),
DataSources AS (
SELECT
c.county_id,
GROUP_CONCAT(s.source_name... | synsql | 【DB_ID】 demographic_and_economic_data_for_us_counties_159057
# Table: counties
[
(county_id:INTEGER, PK, examples=[0, 1]),
(state:TEXT, examples=['Alabama']),
(county_name:TEXT, examples=['Autauga County', 'Baldwin County']),
(total_population:INTEGER, examples=[55036, 203360]),
(men_population:INTEGER, examp... | |
financial_reporting_and_asset_management | **User**: I need to calculate some financial ratios for my company.
**Assistant**: Sure, which financial ratios are you interested in?
**User**: I want to calculate the current ratio.
**Assistant**: To calculate the current ratio, we need to know the total current assets and total current liabilities. Do you have the d... | WITH CurrentAssets AS (
SELECT
SUM(
CASE
WHEN a.is_current = 1 THEN i.amount
ELSE 0
END
) AS total_current_assets
FROM investment_details i
INNER JOIN asset_types a ON i.investment_type = a.asset_type_name
UNION ALL
SELECT
... | synsql | 【DB_ID】 financial_reporting_and_asset_management
# Table: currencies
[
(currency_id:INTEGER, PK, examples=[]),
(currency_code:TEXT, examples=[]),
(currency_name:TEXT, examples=[]),
(exchange_rate:REAL, examples=[]),
]
# Table: asset_types
[
(asset_type_id:INTEGER, PK, examples=[]),
(asset_type_name:TEXT, ex... | |
stock_market_data_and_analysis_293794 | Which sectors, including the 'Energy' sector, have a cumulative total closing price of their stocks that exceeds the average cumulative total closing price across all sectors? | WITH StockTotalCloses AS (
SELECT
s.stock_id,
s.sector_id,
SUM(sp.close) AS total_close
FROM stocks s
INNER JOIN stock_prices sp ON s.stock_id = sp.stock_id
GROUP BY s.stock_id, s.sector_id
),
SectorTotals AS (
SELECT
s.sector_id,
SUM(stc.total_close) AS cumul... | synsql | 【DB_ID】 stock_market_data_and_analysis_293794
# Table: stocks
[
(stock_id:INTEGER, PK, examples=[0, 1]),
(stock_name:TEXT, examples=['KEX Stock', 'ABC Stock']),
(stock_symbol:TEXT, examples=['KEX', 'ABC']),
(exchange_id:INTEGER, examples=[1, 0]),
(sector_id:INTEGER, examples=[0]),
(industry_id:INTEGER, exam... | |
drone_control_and_telemetry_data_management | What are the drone IDs, models, and operational statuses of the top 10 active drones with the most flights, most completed flights, lowest maintenance costs, and highest average performance metrics, along with their total flights, completed flights, total maintenance activities, total maintenance costs, and average per... | WITH
ActiveDrones AS (
SELECT
d.drone_id,
d.drone_model,
d.operational_status,
COUNT(f.flight_id) AS total_flights,
COUNT(CASE WHEN f.status = 'completed' THEN f.flight_id ELSE NULL END) AS completed_flights
FROM drones d
LEFT JOIN flights f ON d.drone_id = f.drone_id... | synsql | 【DB_ID】 drone_control_and_telemetry_data_management
# Table: drones
[
(drone_id:INTEGER, PK, examples=[0, 1]),
(drone_model:TEXT, examples=['D1000']),
(drone_serial_number:TEXT, examples=['D1000-001', 'D1000-002']),
(fleet_id:INTEGER, examples=[1]),
(calibration_status:INTEGER, examples=[1]),
(last_calibrat... | |
network_packet_logging_and_analysis | Could you tell me which packet has the highest threshold value, and provide details including its direction, transmission protocol, transmission statistics (total transmissions, error count, average, maximum, and minimum response times), versioning information (version number and modified time), total packet size per d... | WITH
MaxThresholdPacket AS (
SELECT packet_id
FROM thresholds
ORDER BY threshold_value DESC
LIMIT 1
),
AggregatedValues AS (
SELECT
p.direction,
SUM(p.packet_size) AS total_size_per_direction,
p.transmission_protocol,
AVG(p.packet_size) AS avg_size_per_protocol
... | synsql | 【DB_ID】 network_packet_logging_and_analysis
# Table: packets
[
(packet_id:INTEGER, PK, examples=[0, 1]),
(timestamp:REAL, examples=[2.08898]),
(address:TEXT, examples=['0', '1']),
(data:TEXT, examples=['0', '1']),
(direction:TEXT, examples=['1', '0']),
(ack_status:TEXT, examples=['0']),
(packet_size:INTEG... | |
machine_learning_model_performance_metrics_887470 | What are the names of the datasets used by the top-performing models that have been most recently accessed? | WITH TopPerformingModels AS (
SELECT
model_id,
AVG(precision + recall + f1_score) / 3 AS average_performance
FROM model_performance
WHERE is_active = 1
GROUP BY model_id
ORDER BY average_performance DESC
LIMIT 10
),
RecentAccessLogs AS (
SELECT
model_id,
dat... | synsql | Top-performing models refer to those with high average precision, recall, and F1 scores; 'recently accessed' means the most recent access log for each model. | 【DB_ID】 machine_learning_model_performance_metrics_887470
# Table: models
[
(model_id:INTEGER, PK, examples=[0, 1]),
(model_name:TEXT, examples=['Model 1', 'Model 2']),
(model_type:TEXT, examples=['XGB', 'RF']),
(description:TEXT, examples=['A sample XGB model', 'A sample RF model']),
(created_at:TEXT, exampl... |
weather_data_collection_and_analysis_540041 | What is the landscape of active weather stations, including their names, locations, the count of anomalies detected, and the count of quality checks performed, all viewed through the lens of a seasoned meteorologist's eye? | -- Step 1: Identify active weather stations
WITH ActiveStations AS (
SELECT station_id, station_name, location
FROM weather_stations
WHERE status = 'active'
),
-- Step 2: Count anomalies per station
AnomalyCounts AS (
SELECT data_id, COUNT(*) AS anomaly_count
FROM data_anomalies
GROUP BY data_i... | synsql | - 'Active weather stations' refers to stations with a status of 'active' in the `weather_stations` table.
- 'Anomalies detected' refers to the number of anomalies recorded in the `data_anomalies` table.
- 'Quality checks performed' refers to the number of quality checks recorded in the `data_quality` table.
- 'Seasoned... | 【DB_ID】 weather_data_collection_and_analysis_540041
# Table: weather_stations
[
(station_id:INTEGER, PK, examples=[0]),
(station_name:TEXT, examples=['Station A']),
(location:TEXT, examples=['City X, Country Y']),
(contact_email:TEXT, examples=['stationa@example.com']),
(latitude:REAL, examples=[40.7128]),
... |
environmental_monitoring_and_energy_consumption | I want to know the adjusted total energy consumption for January 11, 2016, taking into account the external weather conditions and indoor temperature and humidity, where the total energy consumption is adjusted based on the external temperature, and the results are ordered by date. | WITH ExternalWeatherConditions AS (
SELECT
ew.date,
ew.T_out,
ew.weather_description,
CASE
WHEN ew.weather_description IN ('rain', 'thunderstorm') THEN ew.T_out + 1.5
ELSE ew.T_out
END AS adjusted_T_out
FROM
external_weather ew
WHERE... | synsql | 【DB_ID】 environmental_monitoring_and_energy_consumption
# Table: energy_consumption
[
(id:INTEGER, PK, examples=[0, 1]),
(date:TEXT, examples=['2016-01-11 17:00:00', '2016-01-11 17:10:00']),
(appliances:INTEGER, examples=[60]),
(lights:INTEGER, examples=[30]),
(heating:INTEGER, examples=[10]),
(cooling:INTE... | |
plant_physiology_and_environmental_monitoring | Hey, could you help me get a list of the latest sensor and plant readings from each location, along with how many times users of different roles have accessed the data? I need the sensor ID, location name, ambient temperature, and the access count, all sorted by the sensor ID. | WITH LatestSensorReadings AS (
SELECT
sensor_id,
MAX(timestamp) AS latest_timestamp
FROM sensor_readings
GROUP BY sensor_id
),
LatestPlantReadings AS (
SELECT
plant_id,
MAX(timestamp) AS latest_timestamp
FROM plant_readings
GROUP BY plant_id
),
SensorReadingsCom... | synsql | 【DB_ID】 plant_physiology_and_environmental_monitoring
# Table: sensors
[
(sensor_id:INTEGER, PK, examples=[0, 1]),
(sensor_type:TEXT, examples=['Temperature', 'Humidity']),
(description:TEXT, examples=['Ambient temperature sensor', 'Ambient humidity sensor']),
(location_id:INTEGER, examples=[0]),
(installatio... | |
university_course_enrollment_and_management_939913 | How many courses are listed under the realm of computer-related studies? | SELECT COUNT(c.course_id)
FROM courses c
INNER JOIN departments d ON c.department_id = d.department_id
WHERE d.department_name = 'Computer Science'; | synsql | 'Realm of computer-related studies' refers to the department named 'Computer Science'. The count is based on unique course identifiers within this department. | 【DB_ID】 university_course_enrollment_and_management_939913
# Table: courses
[
(course_id:INTEGER, PK, examples=[0, 1]),
(course_title:TEXT, examples=['AESTHINT 13', 'AESTHINT 16']),
(course_name:TEXT, examples=['Cultural Agents', 'The Illuminated Manuscript']),
(section_code:TEXT, examples=['001']),
(departme... |
genomic_experiment_management_and_analysis | **User**: I need to find out how many experiments have more than one sequence associated with them.
**Assistant**: Sure, I can help with that. Do you want to know any additional details about these experiments, such as the user who created them or the experiment type?
**User**: No, I just need the count of such experim... | SELECT COUNT(*) AS experiment_count
FROM (
SELECT exp_id
FROM experiment_sequence
GROUP BY exp_id
HAVING COUNT(seq_id) > 1
) AS experiment_with_multiple_sequences; | synsql | 【DB_ID】 genomic_experiment_management_and_analysis
# Table: experiments
[
(exp_id:INTEGER, PK, examples=[0, 1]),
(user_id:TEXT, examples=['1', '0']),
(description:TEXT, examples=['dominant feces, united states of america, black rhinoceros, diceros bicornis, captive, zoological garden', 'experiment description']),... | |
stock_market_data_and_analysis_795899 | Return the portfolio ID, ticker symbol, total quantity, average purchase price, maximum market capitalization, access count, last access date, first access date, date, close price, and daily change percent for each portfolio holding, ordered by portfolio ID and access count in descending order. | WITH PortfolioHOLDINGS AS (
SELECT
ph.portfolio_id,
ph.ticker,
SUM(ph.quantity) AS total_quantity,
AVG(ph.purchase_price) AS avg_purchase_price,
MAX(s.market_cap) AS max_market_cap
FROM portfolio_holdings ph
JOIN stocks s ON ph.ticker = s.ticker
GROUP BY ph.portf... | synsql | 【DB_ID】 stock_market_data_and_analysis_795899
# Table: stocks
[
(ticker:TEXT, PK, examples=['0', '1']),
(company_name:TEXT, examples=['International Consolidated Group', 'Apple Inc.']),
(exchange:TEXT, examples=['NYSE', 'NASDAQ']),
(sector:TEXT, examples=['Financial Services', 'Technology']),
(industry:TEXT, ... | |
fantasy_role_playing_game_character_classes | What are the names of the character classes and their average base attack and defense values, along with the cumulative experience points rewarded by high-level quests? | WITH ClassStats AS (
SELECT
cc.class_name,
AVG(eq.base_attack) AS avg_base_attack,
AVG(eq.base_defense) AS avg_base_defense
FROM
character_classes cc
JOIN
equipment eq ON cc.class_id = eq.class_id
GROUP BY
cc.class_name
),
HighLevelQuests AS (
SELE... | synsql | High-level quests are considered those with an average required level greater than 20; Cumulative experience points refer to the running total of experience points rewarded as the classes are ordered alphabetically. | 【DB_ID】 fantasy_role_playing_game_character_classes
# Table: character_classes
[
(class_id:INTEGER, PK, examples=[0, 1, 2]),
(class_name:TEXT, examples=['None', 'Warrior', 'Wizard']),
(description:TEXT, examples=['Default character class', 'A melee-focused character class', 'A magic-focused character class']),
... |
project_funding_and_success_rate_analysis | Hey! Could you help me find out which projects have surpassed their success rate based on the funding they've received compared to their funding goal? I'd like to know the names and funding categories of these projects, and I want them sorted by funding category and then by project name. | WITH ProjectFundingStatus AS (
SELECT
p.project_id,
p.name,
p.funding_goal,
COALESCE(SUM(fd.amount), 0) AS total_funding,
CASE
WHEN p.funding_goal <= 1000 THEN 'Low'
WHEN p.funding_goal <= 5000 THEN 'Medium'
ELSE 'High'
END AS fund... | synsql | 【DB_ID】 project_funding_and_success_rate_analysis
# Table: projects
[
(project_id:INTEGER, PK, examples=[0, 1]),
(goal_id:INTEGER, examples=[1]),
(name:TEXT, examples=['Project 1', 'Project 2']),
(description:TEXT, examples=['Description 1', 'Description 2']),
(funding_goal:REAL, examples=[1000.0, 5000.0]),
... | |
educational_assessment_and_student_sentiment_analysis | Students in class 1, return their IDs and average positive feelings towards math, sorted from highest to lowest. | SELECT
s.student_id,
AVG(CASE WHEN r.math_feeling = ':)' THEN 1 ELSE 0 END) AS average_positive_feeling
FROM
students s
JOIN
responses r ON s.student_id = r.student_id
WHERE
s.class_id = 1
GROUP BY
s.student_id
ORDER BY
average_positive_feeling DESC; | synsql | 【DB_ID】 educational_assessment_and_student_sentiment_analysis
# Table: students
[
(student_id:INTEGER, PK, examples=[0, 1]),
(first_name:TEXT, examples=['John', 'Jane']),
(last_name:TEXT, examples=['Doe', 'Smith']),
(class_id:INTEGER, examples=[0, 1]),
(enrollment_date:TEXT, examples=['2018-01-10', '2018-01-1... |
End of preview. Expand in Data Studio
README.md exists but content is empty.
- Downloads last month
- 63