set
dict |
|---|
{
"query": "List the closing time and day of week of active businesses in Tempe with stars greater than the 70% of average age of star rating.",
"pos": [
"active businesses refers to active = 'true'; in Tempe refers to city = 'Tempe'; with stars greater than the 70% of average age of star rating refers to stars > DIVIDE(sum(stars), COUNT(business_id)) * 70%"
],
"neg": [
"more appealing to users refers to MAX(review_count);",
"businesses with long length tips refer to business_id where tip_length = 'Long';",
"ID refers to business_id; category of \"Diagnostic Imaging\" refers to category_name = 'Diagnostic Imaging';",
"most popular and appealing refers to review_count = 'High' and max(stars); active business refers to active = 'true'; in Gilbert refers to city = 'Gilbert'",
"close after 8PM refers to closing_time = '9PM' or closing_time = '10PM' closing_time = '11PM' closing_time = '12PM'; Mondays refers to day_of_week = 'Monday'",
"bars refers to category_name = 'Bars';",
"photos type compliment refers to compliment_type = 'photos'; high cool votes refers to review_votes_cool = 'High'",
"1 pm refers to opening_time = '1PM'; 6 pm refers to closing_time = '6PM'; on Saturday refers to day_of_week = 'Saturday'",
"5-star refers to stars = 5; in Ahwatukee refers to city = 'Ahwatukee'; business category refers to category_name",
"year the user join the Yelp refers to user_yelping_since_year; most number of short tips refers to MAX(COUNT(tip_length = 'Short'));"
]
} |
{
"query": "State the number of actively running Yelp businesses in \"Tolleson\".",
"pos": [
"actively running refers to active = 'TRUE'; Tolleson refers to city = 'Tolleson';"
],
"neg": [
"\"cool\" type compliments refers to compliment_type = 'cool'; user No. 41717 refers to user_id = 41717",
"business number refers to business_id;",
"business category refers to category_name; most 5 star reviews refers to MAX(COUNT(category_name WHERE star_reviews = 5));",
"businesses with long length tips refer to business_id where tip_length = 'Long';",
"year has the most elite users refers to year_id with MAX(user_id);",
"how long was the review refers to review_length; business number refers to business_id; user number refers to user_id;",
"in Chandler refers to city = 'Chandler'; attribute refers to attribute_name",
"opened all the time refers to Business_Hours where day_id BETWEEN 1 and 7 and opening_time = closing_time;",
"open 24 hours refers to attribute_name = 'Open 24 Hours' AND attribute_value = 'true'; rating refers to stars; average rating = AVG(stars);",
"state refers to city"
]
} |
{
"query": "What is the closing and opening time of businesses located at Gilbert with highest star rating?",
"pos": [
"\"Gilbert\" is the name of city; highest star rating refers to Max(stars)"
],
"neg": [
"started using Yelp since 2004 refers to user_yelping_since_year = '2004'; had high followers refers to user_fans = 'High'",
"\"Local Services\" is the category_name; less than 3 stars refers to stars < 3; percentage = Divide(Count(business_id(stars < 3)), Count(business_id)) * 100",
"9 am refers to opening_time = '9AM'; 9 pm refers to closing_time = '9PM'; every Saturday refers to day_of_week = 'Saturday'; location refers to city",
";",
"in 2012 refers to actual_year = 2012;",
"avg(user_id) where user_yelping_since_year BETWEEN '2005' AND '2014';",
"opened during late afternoon refers to Business_Hours where opening_time ≥ '5PM'; active businesses refer to business_id where active = 'true';",
"joined yelp since 2004 refers to user_yelping_since_year = 2004;",
"high compliments refers to number_of_compliments = ' High'; joined Yelp earliest refers to min(user_yelping_since_year)",
"users with a high number of fans refers to user_fans = 'High'; 2011 refers to actual_year = 2011; Calculation = DIVIDE(Elite.user_id where user_fans = 'High' AND actual_year = 2011, Elite.user_id where actual_year = 2011) * 100"
]
} |
{
"query": "For businesses with long length reviews, which state are they located?",
"pos": [
"businesses with long length tips refer to business_id where tip_length = 'Long';"
],
"neg": [
"opening hours refers to opening_time; category refers to category_name;",
"DIVIDE(COUNT(business_id where category_name = 'Food' and opening_time = '7AM' and closing_time = '8PM'), COUNT(business_id where opening_time = '7AM' and closing_time = '8PM')) as percentage;",
"under the category of \"Food\" refers to category_name = 'Food'; are good for kids refers to attribute_name = 'Good for Kids' and attribute_value = 'true'",
"inactive business refers to active = 'FALSE'; 'AZ' is the state; 'Phoenix' is the name of city; medium review count refers to review_count = 'Medium'; 3.5 stars refers to stars = 3.5",
"open businesses refers to active = 'true'; long review refers to review_length = 'Long'",
"active businesses refers to active = 'true'; attribute of caters refers to attribute_name = 'Caters'",
"open 24 hours refers to attribute_name = 'Open 24 Hours' AND attribute_value = 'true'; rating refers to stars; average rating = AVG(stars);",
"2006 and 2007 refers to BETWEEN 2006 AND 2007; greater number in elite user refers to count(user_id)",
"short reviews refer to tip_length = 'Short';",
"longest business time refers to max(subtract(closing_time, opening_time)); on Mondays refers to day_of_week = 'Monday'; category \"Shopping\" refers to category_name = 'Shopping'"
]
} |
{
"query": "List the user ID, business ID with review length of the business which received the most likes in tips.",
"pos": [
"business which received the most likes refers to business_id where MAX(likes);"
],
"neg": [
"open businesses refers to active = 'true'; long review refers to review_length = 'Long'",
"in Glendale refers to city = 'Glendale'",
"businesses with long length tips refer to business_id where tip_length = 'Long';",
"good for kids refers to attribute_name = 'Good for Kids' and attribute_value = 'true'\n",
"how much time does this business open refers to SUBTRACT(closing_time, opening_time); DIVIDE(SUM(SUBTRACT(closing_time, opening_time)), SUM(Business.business_id))",
"closed/not running refers to active = 'False'; most reviews refers to MAX(COUNT(user_id));",
"\"Hotel & Travel\" is the category_name; most review refers to Max(Count(category_id)); Average star per user = Divide (Sum (review_stars), Count(user_id))",
"business that accept insurance refers to attribute_name = 'Accepts Insurance' AND attribute_value = 'true'",
"businesses refer to business_id; review_stars = 5.0; review_votes_funny = 'uber';",
"became an elite user the same year they joined Yelp refers to user_yelping_since_year = year_id"
]
} |
{
"query": "For the only Yelp business in \"Yuma\" city, how many \"medium\" reviews did it get?",
"pos": [
"medium reviews refers to review_length = 'Medium';"
],
"neg": [
"Arizona refers to state = 'AZ'; Elitestar rating of over 4 refers to stars > 4;",
"shopping business refers to category_name = 'Shopping'; opening time before 8AM refers to opening_time < '8AM';",
"Yelp_Business no.1 refers to business_id = 1",
"opening hours refers to opening_time; earlier than 8AM refers to opening_time < '8AM';",
"active businesses refers to active = 'true'; underrated refers to review_count = 'Low';",
"\"Gilbert\" is the name of city; high review count refers to review_count = 'High'",
"user No. refers to user_id;",
"short length of review refers to review_length = 'Short'; in Phoenix refers to city = 'Phoenix'",
"high review count refers to review_count = 'High'; received 2 stars refers to stars = 2; category refers to category_name",
"in Casa Grande refers to city = 'Casa Grande'"
]
} |
{
"query": "What is the ratio between business in shopping category and business in pets category?",
"pos": [
"ratio = divide(count(business_id where category_name = 'Shopping'), count(business_id where category_name = 'Pets'))"
],
"neg": [
"less than 5 low compliment refers to number_of_compliments < 5",
"music_karaoke attribute refers to attribute_name = 'music_karaoke' AND attribute_value = 'true'; businesses are closed refers to active = 'false'",
"in Arizona refers to state = 'AZ'; user no. 3 refers to user_id = 3",
"AZ refers to state = 'AZ'; stars < 3;",
"\"Scottsdale\" is the name of city; high review count refers to review_count = 'High'; attribute of the business refers to attribute_name",
"opened for 24 hours refers to attribute_name = 'Open 24 Hours' AND attribute_value = 'true'",
"automotive businesses refers to category_name = 'Automotive'; percentage = MULTIPLY(DIVIDE(SUM(category_name = 'Automotive'), COUNT(business_id)), 1.0);",
"categories refers to category_name; closes at 12PM refers to closing_time = '12PM'; on Sundays refers to day_of_week = 'Sunday'",
"active business refers to active = 'true'; 'Wi-Fi' is the attribute_name; medium review count refers to review_count = 'Medium'",
"actively running refers to active = 'true';"
]
} |
{
"query": "What is the closing time of business id 4 on Sunday?",
"pos": [
"on Sunday refers to day_of_week = 'Sunday'"
],
"neg": [
"running business refers to business where active = 'true';",
"low number of compliments refers to number_of_compliments = 'Low'; percentage refers to DIVIDE(COUNT(number_of_compliments = 'Low'), COUNT(user_id)) * 100",
"is medium refers to user_fans = 'Medium'; high compliments refers to number_of_compliments = 'High'",
"most popular and appealing refers to review_count = 'High' and max(stars); active business refers to active = 'true'; in Gilbert refers to city = 'Gilbert'",
"the most common type of compliments refers to MAX(COUNT(compliment_type))",
"categories refers to category_name",
"opening hours before 7AM refer to opening_time < '7AM'; businesses refer to business_id;",
"under the category \"Food\" refers to category_name = 'Food'",
"joined yelp since 2004 refers to user_yelping_since_year = 2004;",
"AVG(user_yelping_since_year) where user_id from Elite;"
]
} |
{
"query": "Count the active businesses that has an attribute of BYOB with high review count.",
"pos": [
"active business ID refers to active = 'true'; category of Food refers to category_name = 'Food'; attribute of BYOB refers to attribute_name = 'BYOB'; high review count refers to review_count = 'High'"
],
"neg": [
"operating hours refers to opening_time closing_time on day_id; in Black Canyon City refers to city = 'Black Canyon City'; greater than average refers to review_count > AVG(T1.review_count)",
"opened for 24/7 refers to Business_Hours WHERE opening_time = closing_time and business_id COUNT(day_id) = 7; business attribute refers to attribute_name",
"categories refers to category_name; in Arizona refers to state = 'AZ'",
"\"Hotel & Travel\" is the category_name; most review refers to Max(Count(category_id)); Average star per user = Divide (Sum (review_stars), Count(user_id))",
"inactive business refers to active = 'FALSE'; 'AZ' is the state; 'Phoenix' is the name of city; medium review count refers to review_count = 'Medium'; 3.5 stars refers to stars = 3.5",
"located in \"Phoenix\" refers to city = 'Phoenix'; received a \"5\" star review refers to review_stars = '5'; \"uber\" number of votes for funny refers to review_votes_funny = 'Uber'",
"closed at 8PM refers to closing_time = '8PM';",
"active business refers to active = 'true'; 'AZ' is the state; high review count refers to review_count = 'High'",
"highest review count refers to review_count = 'Uber'; average business review stars = Divide (Sum(review_stars), Count(user_id))",
"user numbers refers to user_id; Uber number refers to number_of_compliments = 'Uber'; cute compliments refers to compliment_type = 'cute';"
]
} |
{
"query": "How many photos type compliment given from users with high cool votes?",
"pos": [
"photos type compliment refers to compliment_type = 'photos'; high cool votes refers to review_votes_cool = 'High'"
],
"neg": [
"ID number refers to attribute_id",
"businesses refer to business_id; review_stars = 5.0; review_votes_funny = 'uber';",
"user No. refers to user_id;",
"\"Gilbert\" is the name of city; high review count refers to review_count = 'High'",
"user numbers refers to user_id; Uber number refers to number_of_compliments = 'Uber'; cute compliments refers to compliment_type = 'cute';",
"opened all the time refers to Business_Hours where day_id BETWEEN 1 and 7 and opening_time = closing_time; ratio can be computed as DIVIDE(COUNT(stars BETWEEN 3.5 and 5), COUNT(stars BETWEEN 1 and 2.5));",
"business time of longer than 12 hours refers to subtract(closing_time, opening_time) > 12; on Sundays refers to day_of_week = 'Sunday'",
"how long was the review refers to review_length; business number refers to business_id; user number refers to user_id;",
"business number refers to business_id;",
"users with a high number of fans refers to user_fans = 'High'; 2011 refers to actual_year = 2011; Calculation = DIVIDE(Elite.user_id where user_fans = 'High' AND actual_year = 2011, Elite.user_id where actual_year = 2011) * 100"
]
} |
{
"query": "How many businesses have the category named food? List those businesses and find the percentage of businesses with less than 2 stars.",
"pos": [
"businesses have the category named food refer to business_id where category_name = 'Food'; DIVIDE(COUNT(business_id where category_name = 'Food' and stars < 2), COUNT(business_id where category_name = 'Food')) as percentage;"
],
"neg": [
"year the user join the Yelp refers to user_yelping_since_year; star reviews refers to review_stars;",
"location of businesses refers to city and state; business hours from 8 am to 9 pm refers to opening_time = '8AM', closing_time = '9PM'; every Friday refers to day_of_week = 'Friday'",
"'Phoenix' is the city; waiter service refers to attribute_name = 'waiter_services'",
"in Glendale refers to city = 'Glendale'",
"medium refers to number_of_compliments = 'Medium';",
"under the category of \"Food\" refers to category_name = 'Food'; are good for kids refers to attribute_name = 'Good for Kids' and attribute_value = 'true'",
"high review count refers to review_count = 'High'; received 2 stars refers to stars = 2; category refers to category_name",
"ID refers to business_id; category of \"Diagnostic Imaging\" refers to category_name = 'Diagnostic Imaging';",
"Chinese refers to category_name = 'Chinese'; Filipino refers to category_name = 'Filipino'; how many more = SUBTRACT(SUM(category_name = 'Chinese'), SUM(category_name = 'Filipino'));",
"business category refers to category_name; most 5 star reviews refers to MAX(COUNT(category_name WHERE star_reviews = 5));"
]
} |
{
"query": "How many Yelp_Businesses do not provide alcohol?",
"pos": [
"do not provide alcohol refers to attribute_name = 'Alcohol'and attribute_value = 'none'\n"
],
"neg": [
"do not have fans refers to user_fans = 'None'; high number of compliment refers to number_of_compliments = 'High'",
"good for kids refers to attribute_name = 'Good for Kids' and attribute_value = 'true'\n",
"attribute numbers refers to attribute_id; related to payment refers to attribute_name like '%payment%';",
"business No. refers to business_id; have TV refers to attribute_name = 'Has TV';",
"ID number refers to attribute_id",
"users with a high number of fans refers to user_fans = 'High'; 2011 refers to actual_year = 2011; Calculation = DIVIDE(Elite.user_id where user_fans = 'High' AND actual_year = 2011, Elite.user_id where actual_year = 2011) * 100",
"short length of review refers to review_length = 'Short'; in Phoenix refers to city = 'Phoenix'",
"drive-thru refers to attribute_name = 'Drive-Thru' AND attribute_value = 'true'; Scottsdale refers to city = 'Scottsdale'; business_id < 1000;",
"opening hours 10AM on Saturday refer to Business_Hours where opening_time = '10AM' and day_id = 6;",
"high review count refers to review_count = 'High'; received 2 stars refers to stars = 2; category refers to category_name"
]
} |
{
"query": "Based on all user compliments, find the percentage of low number of compliments on all compliments ID.",
"pos": [
"low number of compliments refers to number_of_compliments = 'Low'; percentage refers to DIVIDE(COUNT(number_of_compliments = 'Low'), COUNT(user_id)) * 100"
],
"neg": [
"opening hours before 7AM refer to opening_time < '7AM'; businesses refer to business_id;",
";",
"closed business refers to active = 'false'; in Avondale refers to city = 'Avondale'; 'wonderful experience' rating refers to stars > 3; percentage = divide(count(business_id where stars > 3), count(business_id))*100%",
"in Anthem refers to city = 'Anthem'; the category of \"Food\" refers to category_name = 'Food'",
"good for kids refers to attribute_name = 'Good for Kids' and attribute_value = 'true'\n",
"business time of longer than 12 hours refers to subtract(closing_time, opening_time) > 12; on Sundays refers to day_of_week = 'Sunday'",
"percentage = MULTIPLY(DIVIDE(SUM(city = 'Phoenix' END), COUNT(category_id)), 1.0);",
"active businesses refers to active = 'true'; in Chandler refers to city = 'Chandler'",
"drive-thru refers to attribute_name = 'Drive-Thru' AND attribute_value = 'true'; Scottsdale refers to city = 'Scottsdale'; business_id < 1000;",
"beer_and_wine refers to attribute_value = 'beer_and_wine';"
]
} |
{
"query": "How many likes did short comment left by users who joined in 2010 get?",
"pos": [
"short comment refers to tip_length = 'Short'; users who joined in 2010 refer to user_id where user_yelping_since_year = 2010;"
],
"neg": [
"Women's clothing refers to category_name = 'Women''s Clothing'; Men's clothing refers to category_name = 'Men''s Clothing'; percentage more = MULTIPLY(DIVIDE(SUBTRACT(SUM(category_name = 'Women''s Clothing'), SUM(category_name = 'Men''s Clothing')), COUNT(business_id)), 1.0);",
"year the user join the Yelp refers to user_yelping_since_year; star reviews refers to review_stars;",
"active business refers to active = 'true'; 'Scottsdale' is the name of city; stars greater than the 60% of average age of star rating refers to stars > avg(stars) * 60%",
"category of food refers to category_name = 'Food'; calculation = DIVIDE(COUNT(stars > 3), SUM(stars))",
"located in \"Phoenix\" refers to city = 'Phoenix'; received a \"5\" star review refers to review_stars = '5'; \"uber\" number of votes for funny refers to review_votes_funny = 'Uber'",
"categories refers to category_name; Yelp_Business no.1 refers to business_id = 1",
"users who started yelping in 2012 refers to user_yelping_since_year = '2012'; high number of funny votes refers to user_votes_funny = 'High';",
"Sunday refers to day_of_week = 'Sunday' where day_id = 1; opened from 9AM to 9PM refers to Business_Hours where opening_time = '9AM' and closing_time = '9PM'; DIVIDE(COUNT(opening_time = '9AM' and closing_time = '9PM' and day_of_week = 'Sunday'), COUNT(opening_time = NOT NULL and closing_time = NOT NULL and day_of_week = 'Sunday')) as percentage;",
"5 in the Elitestar rating refers to stars = 5;",
"ID of businesses refers to business_id; reviews with the lowest veracity refers to review_count = 'Low' AND stars > 3; Paradise Valley is a city"
]
} |
{
"query": "How many users received high compliment type in photo?",
"pos": [
"high compliments refers to number_of_compliments = 'High'; type in photo refers to compliment_ID = 1"
],
"neg": [
"still running refers to active = 'true'; opened from 8AM to 6PM refers to opening_time = '8AM' AND closing_time = '6PM';",
"low number of compliments refers to number_of_compliments = 'Low'; percentage refers to DIVIDE(COUNT(number_of_compliments = 'Low'), COUNT(user_id)) * 100",
"1 pm refers to opening_time = '1PM'; 6 pm refers to closing_time = '6PM'; on Saturday refers to day_of_week = 'Saturday'",
"Sunday refers to day_of_week = 'Sunday' where day_id = 1; category of Arts & Entertainment refers to category_name = 'Arts & Entertainment';",
"Arizona refers to state = 'AZ'; Elitestar rating of over 4 refers to stars > 4;",
";",
"open businesses refers to active = 'true'; long review refers to review_length = 'Long'",
"Sunday refers to day_of_week = 'Sunday' where day_id = 1; opened from 9AM to 9PM refers to Business_Hours where opening_time = '9AM' and closing_time = '9PM'; DIVIDE(COUNT(opening_time = '9AM' and closing_time = '9PM' and day_of_week = 'Sunday'), COUNT(opening_time = NOT NULL and closing_time = NOT NULL and day_of_week = 'Sunday')) as percentage;",
"users with a high number of fans refers to user_fans = 'High'; 2011 refers to actual_year = 2011; Calculation = DIVIDE(Elite.user_id where user_fans = 'High' AND actual_year = 2011, Elite.user_id where actual_year = 2011) * 100",
"year the user join the Yelp refers to user_yelping_since_year; star reviews refers to review_stars;"
]
} |
{
"query": "What city does the business came from where they received a high volume of check-ins from 12 am to 1 am on Saturday.",
"pos": [
"12 am refers to opening_time = '12AM'; 1 am refers to closing_time = '1AM'; on Saturday refers to day_of_week = 'Saturday'"
],
"neg": [
"Sunday refers to day_of_week = 'Sunday' where day_id = 1; opened from 9AM to 9PM refers to Business_Hours where opening_time = '9AM' and closing_time = '9PM'; DIVIDE(COUNT(opening_time = '9AM' and closing_time = '9PM' and day_of_week = 'Sunday'), COUNT(opening_time = NOT NULL and closing_time = NOT NULL and day_of_week = 'Sunday')) as percentage;",
"running business refers to business where active = 'true';",
"Yelp_Business no.1 refers to business_id = 1",
"automotive businesses refers to category_name = 'Automotive'; percentage = MULTIPLY(DIVIDE(SUM(category_name = 'Automotive'), COUNT(business_id)), 1.0);",
"business number refers to business_id; Scottsdale refers to city = 'Scottsdale'; day number refers to day_id;",
"bring their own beer refers to attribute_name = 'BYOB' AND attribute_value = 'TRUE'; Phoenix refers to city = 'Phoenix'; percentage = MULTIPLY(DIVIDE(SUM(city = 'Phoenix'), COUNT(business_id)), 1.0)",
"in Arizona refers to state = 'AZ'; closes at 12PM refers to closing_time = '12PM'; on Sundays refers to day_of_week = 'Sunday'",
"average star less than 3 stars refers to user_average_stars < 3; in 2012 refers to user_yelping_since_year = 2012",
"closed business refers to active = 'false'; in Avondale refers to city = 'Avondale'; 'wonderful experience' rating refers to stars > 3; percentage = divide(count(business_id where stars > 3), count(business_id))*100%",
"under the category of \"Food\" refers to category_name = 'Food'; are good for kids refers to attribute_name = 'Good for Kids' and attribute_value = 'true'"
]
} |
{
"query": "State the ID number for the attribute named \"Accepts Insurance\"?",
"pos": [
"ID number refers to attribute_id"
],
"neg": [
"in Glendale refers to city = 'Glendale'",
"businesses with long length tips refer to business_id where tip_length = 'Long';",
"business that accept insurance refers to attribute_name = 'Accepts Insurance' AND attribute_value = 'true'",
"Yelp_Business no.1 refers to business_id = 1; on weekends refers to day_of_week = 'Saturday' or day_of_week = 'Sunday'; average business time refers to DIVIDE(SUBTRACT(closing_time, opening_time), 2)",
"9 am refers to opening_time = '9AM'; 9 pm refers to closing_time = '9PM'; every Saturday refers to day_of_week = 'Saturday'; location refers to city",
"how long was the review refers to review_length; business number refers to business_id; user number refers to user_id;",
"short tips refers to tip_length = 'short'; most number of short tips refers to MAX(COUNT(tip_length = 'short')); category refers to category_name;",
"active business refers to active = 'true'; 'AZ' is the state; high review count refers to review_count = 'High'",
"bars refers to category_name = 'Bars';",
"category refers to category_name"
]
} |
{
"query": "For the business with great experience existed in Sun Lakes city, provide the user ID who gave review on it and user followers.",
"pos": [
"with great experience refers to stars = 5"
],
"neg": [
"ID refers to business_id; category of \"Diagnostic Imaging\" refers to category_name = 'Diagnostic Imaging';",
"category of food refers to category_name = 'Food'; calculation = DIVIDE(COUNT(stars > 3), SUM(stars))",
"DIVIDE(COUNT(business_id where category_name = 'Food' and opening_time = '7AM' and closing_time = '8PM'), COUNT(business_id where opening_time = '7AM' and closing_time = '8PM')) as percentage;",
"average ratings of at least 4 refers to user_average_stars > = 4; no fans or followers refers to user_fans = 'None'; percentage = divide(count(user_id where user_average_stars > = 4 and user_fans = 'None'), sum(user_id where user_average_stars > = 4))*100%",
"Tempe is a city; high review count refers to review_count = 'High'",
"active business refers to active = 'true'; 'Wi-Fi' is the attribute_name; medium review count refers to review_count = 'Medium'",
"beer_and_wine refers to attribute_value = 'beer_and_wine';",
"active businesses refers to active = 'true'; attribute of caters refers to attribute_name = 'Caters'",
"opening hours refers to opening_time; earlier than 8AM refers to opening_time < '8AM';",
"\"South Carolina\" and \"California\" are both state; average review stars from users = Divide((Sum(review_stars(state = 'SC')) + Sum(review_stars(state = 'CA'))), Sum(stars))"
]
} |
{
"query": "What is the total number of active businesses in AZ with a medium review count?",
"pos": [
"active businesses refers to active = 'true'; AZ is a state; medium review count refers to review_count = 'Medium'"
],
"neg": [
"active business refers to active = 'true'; Casa Grande refers to city = 'Casa Grande'",
"do not provide alcohol refers to attribute_name = 'Alcohol'and attribute_value = 'none'\n",
"business which received the most likes refers to business_id where MAX(likes);",
"closing hours refer to closing_time; business days refer to day_id from Business_Hours;",
"\"Tempe\" is the name of city; long review refers to review_length = 'Long'",
"attribute numbers refers to attribute_id; related to payment refers to attribute_name like '%payment%';",
"high compliments refers to number_of_compliments = 'High'; type in photo refers to compliment_ID = 1",
"under the category of \"Food\" refers to category_name = 'Food'; are good for kids refers to attribute_name = 'Good for Kids' and attribute_value = 'true'",
"closed at 8PM refers to closing_time = '8PM';",
"closed business refers to active = 'false'; in Avondale refers to city = 'Avondale'; 'wonderful experience' rating refers to stars > 3; percentage = divide(count(business_id where stars > 3), count(business_id))*100%"
]
} |
{
"query": "Describe ID and active status of the business under category of \"Diagnostic Imaging\".",
"pos": [
"ID refers to business_id; category of \"Diagnostic Imaging\" refers to category_name = 'Diagnostic Imaging';"
],
"neg": [
"since year 2012 refers to user_yelping_since_year = '2012'",
"joined yelp since 2004 refers to user_yelping_since_year = 2004;",
"located in Phoenix refers to city = 'Phoenix'; Arizona refers to state = 'AZ'",
"highest number of reviews refers to SUBTRACT(MAX(COUNT(business_id), MIN(COUNT(business_id))))",
"low compliments refers to number_of_compliments = 'Low'; joined Yelp in 2012 refers to user_yelping_since_year = 2012",
"active business refers to active = 'true'; 'Pets' is the category_name",
"number of running business refers to COUNT(business_id) where active = 'true'; each review count includes review_count = 'High', review_count = 'Medium', review_count = 'Low';",
"opened for 24 hours refers to attribute_name = 'Open 24 Hours' AND attribute_value = 'true'",
"running business refers to business where active = 'true';",
"long tip refers to tip_length = 'Long'; 2 likes refers to likes = 2; high number of fans refers to user_fans = 'High'"
]
} |
{
"query": "Calculate the percentage of users with a high number of fans who were elite in 2011.",
"pos": [
"users with a high number of fans refers to user_fans = 'High'; 2011 refers to actual_year = 2011; Calculation = DIVIDE(Elite.user_id where user_fans = 'High' AND actual_year = 2011, Elite.user_id where actual_year = 2011) * 100"
],
"neg": [
"Yelp user refers to user_id; average 5-star rating refers to user_average_stars = 5; yelping the longest refers to min(user_yelping_since_year)",
"inactive business refers to active = 'FALSE'; 'AZ' is the state; 'Phoenix' is the name of city; medium review count refers to review_count = 'Medium'; 3.5 stars refers to stars = 3.5",
"closed at 8PM refers to closing_time = '8PM';",
"long reviews refers to review_length = 'Long'; medium number of useful votes refers to review_votes_useful = 'medium';",
"operating hours refers to opening_time closing_time on day_id; in Black Canyon City refers to city = 'Black Canyon City'; greater than average refers to review_count > AVG(T1.review_count)",
"number of useful votes refers to review_votes_useful; business number refers to business_id;",
"elite user for consecutively 5 years or more refers to user_id COUNT(year_id) > 5; Average star = AVG(likes)",
"5 star reviews refers to review_stars = 5; business No. refers to business_id;",
"year the user join the Yelp refers to user_yelping_since_year; star reviews refers to review_stars;",
"shopping business refers to category_name = 'Shopping'; opening time before 8AM refers to opening_time < '8AM';"
]
} |
{
"query": "Find the location of businesses that have business hours from 8 am to 9 pm every Friday.",
"pos": [
"location of businesses refers to city and state; business hours from 8 am to 9 pm refers to opening_time = '8AM', closing_time = '9PM'; every Friday refers to day_of_week = 'Friday'"
],
"neg": [
"\"Good for Groups\" and \"Good for Dancing\" are attribute_name; active business refers to active = true'",
"the most common type of compliments refers to MAX(COUNT(compliment_type))",
"\"Gilbert\" is the name of city; high review count refers to review_count = 'High'",
"closed at 8PM refers to closing_time = '8PM';",
"active business refers to active = 'true'; 'Scottsdale' is the name of city; stars greater than the 60% of average age of star rating refers to stars > avg(stars) * 60%",
"most popular and appealing refers to review_count = 'High' and max(stars); active business refers to active = 'true'; in Gilbert refers to city = 'Gilbert'",
"average review = Divide(Count(user_id), Count(business_id))",
"1 pm refers to opening_time = '1PM'; 6 pm refers to closing_time = '6PM'; on Saturday refers to day_of_week = 'Saturday'",
"medium refers to number_of_compliments = 'Medium';",
"\"Local Services\" is the category_name; less than 3 stars refers to stars < 3; percentage = Divide(Count(business_id(stars < 3)), Count(business_id)) * 100"
]
} |
{
"query": "How many businesses are registered in the database under 'Banks & Credit Unions' category?",
"pos": [
"category refers to category_name"
],
"neg": [
"user yelping since 2010 to 2012 refers to user_yelping_since_year > = '2010' AND user_yelping_since_year < '2013'; low fans refers to user_fans = 'Low'",
"percentage refers to DIVIDE(COUNT(attribute_name = 'Accepts Credit Cards'), COUNT(business_id))*100%",
"in Arizona refers to state = 'AZ'; closes at 12PM refers to closing_time = '12PM'; on Sundays refers to day_of_week = 'Sunday'",
"1 pm refers to opening_time = '1PM'; 6 pm refers to closing_time = '6PM'; on Saturday refers to day_of_week = 'Saturday'",
"the most reviews refer to MAX(user_id);",
"can be attributed to 'Good for Kids' refers to attribute_name = 'Good for Kids' and attribute_value = 'true'",
"Yelp_Business no.1 refers to business_id = 1; on weekends refers to day_of_week = 'Saturday' or day_of_week = 'Sunday'; average business time refers to DIVIDE(SUBTRACT(closing_time, opening_time), 2)",
"long reviews refers to review_length = 'long'; most number of long reviews refers to MAX(COUNT(review_length = 'long')); average ratings = AVG(review_stars);",
";",
"year has the most elite users refers to year_id with MAX(user_id);"
]
} |
{
"query": "Among the active businesses located at Chandler, AZ, list the category and atrributes of business with a medium review count.",
"pos": [
"active businesses refers to active = 'true'; located at Chandler, AZ refers to city = 'Chandler', state = 'AZ'; category refers to category_name; atrributes refers to attribute_name"
],
"neg": [
"business time of longer than 12 hours refers to subtract(closing_time, opening_time) > 12; on Sundays refers to day_of_week = 'Sunday'",
"category refers to category_name",
"joined yelp since 2004 refers to user_yelping_since_year = 2004;",
"average star less than 3 stars refers to user_average_stars < 3; in 2012 refers to user_yelping_since_year = 2012",
"operating hours refers to opening_time closing_time on day_id; in Black Canyon City refers to city = 'Black Canyon City'; greater than average refers to review_count > AVG(T1.review_count)",
"12 am refers to opening_time = '12AM'; 1 am refers to closing_time = '1AM'; on Saturday refers to day_of_week = 'Saturday'",
"user No. refers to user_id;",
"opening hours refers to opening_time; earlier than 8AM refers to opening_time < '8AM';",
"more appealing to users refers to MAX(review_count);",
"do not provide alcohol refers to attribute_name = 'Alcohol'and attribute_value = 'none'\n"
]
} |
{
"query": "For the Yelp business in \"Tempe\" city which got \"3.5\" stars and review count as \"Uber\", how many \"long\" reviews did it get?",
"pos": [
"\"Tempe\" is the name of city; long review refers to review_length = 'Long'"
],
"neg": [
"state refers to city",
"highest number of reviews refers to SUBTRACT(MAX(COUNT(business_id), MIN(COUNT(business_id))))",
"business category refers to category_name; most 5 star reviews refers to MAX(COUNT(category_name WHERE star_reviews = 5));",
"medium refers to number_of_compliments = 'Medium';",
"in Mesa refers to city = 'Mesa'; alcohol attribute refers to attribute_name = 'Alcohol'",
"with great experience refers to stars = 5",
"5 star reviews refers to review_stars = 5; business No. refers to business_id;",
"average good review refers to review_count > = 3; Arizona refers to state = 'AZ'; business category refers to category_name",
"9 am refers to opening_time = '9AM'; 9 pm refers to closing_time = '9PM'; every Saturday refers to day_of_week = 'Saturday'; location refers to city",
"business number refers to business_id; Scottsdale refers to city = 'Scottsdale'; day number refers to day_id;"
]
} |
{
"query": "List all the businesses that closed at 8PM.",
"pos": [
"closed at 8PM refers to closing_time = '8PM';"
],
"neg": [
"average ratings of at least 4 refers to user_average_stars > = 4; no fans or followers refers to user_fans = 'None'; percentage = divide(count(user_id where user_average_stars > = 4 and user_fans = 'None'), sum(user_id where user_average_stars > = 4))*100%",
"types of music refers to attribute_name LIKE '%music%' WHERE attribute_value = 'true'; business No. refers to business_id;\n",
"AZ refers to state = 'AZ'; stars < 3;",
"active businesses refers to active = 'true'; located at Chandler, AZ refers to city = 'Chandler', state = 'AZ'; category refers to category_name; atrributes refers to attribute_name",
"drive-thru refers to attribute_name = 'Drive-Thru' AND attribute_value = 'true'; Scottsdale refers to city = 'Scottsdale'; business_id < 1000;",
"category refers to category_name; highest review stars refers to max(review_stars); business ID from 6 to 9 refers to business_id between 6 and 9",
"opened for 24/7 refers to Business_Hours WHERE opening_time = closing_time and business_id COUNT(day_id) = 7; business attribute refers to attribute_name",
"the most reviews refer to MAX(user_id);",
"Arizona refers to state = 'AZ'; still running refers to active = 'true';",
"music_karaoke attribute refers to attribute_name = 'music_karaoke' AND attribute_value = 'true'; businesses are closed refers to active = 'false'"
]
} |
{
"query": "How many of the users who use a high number of compliments do not have any fans?",
"pos": [
"do not have fans refers to user_fans = 'None'; high number of compliment refers to number_of_compliments = 'High'"
],
"neg": [
"under the category \"Food\" refers to category_name = 'Food'",
"DIVIDE(COUNT(business_id where category_name = 'Food' and opening_time = '7AM' and closing_time = '8PM'), COUNT(business_id where opening_time = '7AM' and closing_time = '8PM')) as percentage;",
"posted more than 10 reviews refers to count(Reviews.user_id) > 10",
"actively running refers to active = 'true';",
"opened during late afternoon refers to Business_Hours where opening_time ≥ '5PM'; active businesses refer to business_id where active = 'true';",
";",
"user numbers refers to user_id; Uber number refers to number_of_compliments = 'Uber'; cute compliments refers to compliment_type = 'cute';",
"ratio = divide(count(business_id where category_name = 'Shopping'), count(business_id where category_name = 'Pets'))",
"users refer to user_id; uber votes for all of the review category refer to review_votes_funny = 'uber' AND review_votes_useful = 'uber' AND review_votes_cool = 'uber';",
"\"Scottsdale\" is the name of city; high review count refers to review_count = 'High'; attribute of the business refers to attribute_name"
]
} |
{
"query": "How many users have uber review votes for funny from the fans?",
"pos": [
"users refer to user_id; review_votes_funny = 'uber';"
],
"neg": [
"5-star refers to stars = 5; in Ahwatukee refers to city = 'Ahwatukee'; business category refers to category_name",
"category refers to category_name; highest review stars refers to max(review_stars); business ID from 6 to 9 refers to business_id between 6 and 9",
"the most common type of compliments refers to MAX(COUNT(compliment_type))",
"running business refers to business where active = 'true';",
"categories refers to category_name; closes at 12PM refers to closing_time = '12PM'; on Sundays refers to day_of_week = 'Sunday'",
"Yelp_Business no.1 refers to business_id = 1",
"active business refers to active = 'true'; 'Scottsdale' is the name of city; stars greater than the 60% of average age of star rating refers to stars > avg(stars) * 60%",
"user No. refers to user_id; short tip refers to tip_length = 'short'; category refers to category_name;",
"\"Scottsdale\" is the name of city; high review count refers to review_count = 'High'; attribute of the business refers to attribute_name",
"5 in the Elitestar rating refers to stars = 5;"
]
} |
{
"query": "Which actively running Yelp business in \"Gilbert\" has got the most reviews? Give the business id.",
"pos": [
"actively running business refers to active = 'true'; 'Gilbert' is the name of city; most review refers to review_count = 'Uber'"
],
"neg": [
"business number refers to business_id; Scottsdale refers to city = 'Scottsdale'; day number refers to day_id;",
"businesses in \"Pets\" category refers to category_name = 'Pets'; percentage refers to DIVIDE(COUNT(category_name = 'Pets'), COUNT(business_id)) * 100%",
"low compliments refers to number_of_compliments = 'Low'; joined Yelp in 2012 refers to user_yelping_since_year = 2012",
"rating more than 2 refers to stars > 2;",
"medium length of review refers to review_length = 'Medium'",
"average star less than 3 stars refers to user_average_stars < 3; in 2012 refers to user_yelping_since_year = 2012",
"the most common type of compliments refers to MAX(COUNT(compliment_type))",
"business which received the most likes refers to business_id where MAX(likes);",
"posted more than 10 reviews refers to count(Reviews.user_id) > 10",
"active business refers to active = 'true'; category of Fashion refers to category = 'Fashion'"
]
} |
{
"query": "When does Yelp_Business no.1 open on Tuesdays?",
"pos": [
"Yelp_Business no.1 refers to business_id = 1; open on refers to opening_time; Tuesdays refers to day_of_week = 'Tuesday'"
],
"neg": [
"medium tip length refers to tip_length = 'Medium'; percentage = divide(count(tips where tip_length = 'Medium'), count(tips))*100%; the time when users join Yelp refers to user_yelping_since_year",
"year with yelp = Subtract ('%Y'(CURRENT TIME), user_yelping_since_year)",
"\"Gilbert\" is the name of city; highest star rating refers to Max(stars)",
"active businesses refers to active = 'true'; AZ is a state; medium review count refers to review_count = 'Medium'",
"on Sunday refers to day_of_week = 'Sunday'",
"business that accept insurance refers to attribute_name = 'Accepts Insurance' AND attribute_value = 'true'",
"business no. 14033 refers to business_id = 14033; good for supper refers to attribute_name = 'good_for_dinner'",
"became an elite user the same year they joined Yelp refers to user_yelping_since_year = year_id",
"ratio = divide(count(business_id where category_name = 'Shopping'), count(business_id where category_name = 'Pets'))",
"long refers to review_length = 'Long';"
]
} |
{
"query": "Among the users who received high compliments from other users, which users joined Yelp earliest?",
"pos": [
"high compliments refers to number_of_compliments = ' High'; joined Yelp earliest refers to min(user_yelping_since_year)"
],
"neg": [
"categories refers to category_name",
"\"Local Services\" is the category_name; less than 3 stars refers to stars < 3; percentage = Divide(Count(business_id(stars < 3)), Count(business_id)) * 100",
"uber number of fans refers to user_fans = 'uber';",
"in Tempe refers to city = 'Tempe'; rated as 'Wonderful experience refers to stars > 3",
"9 am refers to opening_time = '9AM'; 9 pm refers to closing_time = '9PM'; every Saturday refers to day_of_week = 'Saturday'; location refers to city",
"operating hours refers to opening_time closing_time on day_id; in Black Canyon City refers to city = 'Black Canyon City'; greater than average refers to review_count > AVG(T1.review_count)",
"business number refers to business_id; Scottsdale refers to city = 'Scottsdale'; day number refers to day_id;",
"actively running business refers to active = 'true'; 'Gilbert' is the name of city; most review refers to review_count = 'Uber'",
"photos type compliment refers to compliment_type = 'photos'; high cool votes refers to review_votes_cool = 'High'",
"type of compliments refers to compliment_type; most number of funny type of compliments refers to MAX(COUNT(number of compliments = 'high' WHERE compliment_type = 'funny'));"
]
} |
{
"query": "How many businesses ID sell beer and wine?",
"pos": [
"attribute_value = 'beer_and_wine'"
],
"neg": [
"state refers to city",
"medium length of review refers to review_length = 'Medium'",
"closed business refers to active = 'false'; in Avondale refers to city = 'Avondale'; 'wonderful experience' rating refers to stars > 3; percentage = divide(count(business_id where stars > 3), count(business_id))*100%",
"bring their own beer refers to attribute_name = 'BYOB' AND attribute_value = 'TRUE'; Phoenix refers to city = 'Phoenix'; percentage = MULTIPLY(DIVIDE(SUM(city = 'Phoenix'), COUNT(business_id)), 1.0)",
"Yelp_Business no.1 refers to business_id = 1",
"Scottsdale refers to city = 'Scottsdale'; positive comments refers to stars > 3; Elitestar rating refers to stars;",
"business that accept insurance refers to attribute_name = 'Accepts Insurance' AND attribute_value = 'true'",
"open businesses refers to active = 'true'; long review refers to review_length = 'Long'",
"active businesses refers to active = 'true'; attribute of caters refers to attribute_name = 'Caters'",
"user's compliment in photo refers to compliment_type = 'photo'; photo has medium in number refers to number_of_compliments = 'Medium'"
]
} |
{
"query": "Write down the ID, active status and city of the business which are in CA state.",
"pos": [
"the ID refers to business_id; active status refers to active; active = 'true' means the business is still running; active = 'false' means the business is closed or not running now"
],
"neg": [
"closed at 8PM refers to closing_time = '8PM';",
"Women's clothing refers to category_name = 'Women''s Clothing'; Men's clothing refers to category_name = 'Men''s Clothing'; percentage more = MULTIPLY(DIVIDE(SUBTRACT(SUM(category_name = 'Women''s Clothing'), SUM(category_name = 'Men''s Clothing')), COUNT(business_id)), 1.0);",
"categories refers to category_name; closes at 12PM refers to closing_time = '12PM'; on Sundays refers to day_of_week = 'Sunday'",
"AZ refers to state = 'AZ'; stars < 3;",
"Arizona refers to state = 'AZ';",
"location of businesses refers to city and state; business hours from 8 am to 9 pm refers to opening_time = '8AM', closing_time = '9PM'; every Friday refers to day_of_week = 'Friday'",
"1 pm refers to opening_time = '1PM'; 6 pm refers to closing_time = '6PM'; on Saturday refers to day_of_week = 'Saturday'",
"opening hours refers to opening_time; earlier than 8AM refers to opening_time < '8AM';",
"the most reviews refer to MAX(user_id);",
"ID number refers to attribute_id"
]
} |
{
"query": "Please indicate the business id have the closing time with the category of Arts & Entertainment on Sunday.",
"pos": [
"Sunday refers to day_of_week = 'Sunday' where day_id = 1; category of Arts & Entertainment refers to category_name = 'Arts & Entertainment';"
],
"neg": [
"without attribute refers to attribute_value = 'None'; in Gilbert refers to city = 'Gilbert'",
"in Chandelier refers to city = 'Chandelier'; percentage = divide(count(business_id where review_votes_funny = 'Low'), count(business_id)); business with low funny votes refers to review_votes_funny = 'Low'",
"on Sunday refers to day_of_week = 'Sunday'",
"active business refers to active = 'true'; 'Scottsdale' is the name of city; stars greater than the 60% of average age of star rating refers to stars > avg(stars) * 60%",
"state refers to city",
"average good review refers to review_count > = 3; Arizona refers to state = 'AZ'; business category refers to category_name",
"active business refers to active = 'true'; 'Wi-Fi' is the attribute_name; medium review count refers to review_count = 'Medium'",
"days from Monday to Saturday refer to day_id between 2 and 7; work the most days can be computed as MAX(COUNT(category_name where day_id between 2 and 7));",
"ID number refers to attribute_id",
"most popular and appealing refers to review_count = 'High' and max(stars); active business refers to active = 'true'; in Gilbert refers to city = 'Gilbert'"
]
} |
{
"query": "How many businesses in Tempe are rated as 'Wonderful experience?",
"pos": [
"in Tempe refers to city = 'Tempe'; rated as 'Wonderful experience refers to stars > 3"
],
"neg": [
"located in \"Phoenix\" refers to city = 'Phoenix'; received a \"5\" star review refers to review_stars = '5'; \"uber\" number of votes for funny refers to review_votes_funny = 'Uber'",
"category refers to category_name; highest review stars refers to max(review_stars); business ID from 6 to 9 refers to business_id between 6 and 9",
"medium reviews refers to review_length = 'Medium';",
"beer_and_wine refers to attribute_value = 'beer_and_wine';",
"became an elite user the same year they joined Yelp refers to user_yelping_since_year = year_id",
"Arizona refers to state = 'AZ'; Elitestar rating of over 4 refers to stars > 4;",
"still running refers to active = 'true'; opened from 8AM to 6PM refers to opening_time = '8AM' AND closing_time = '6PM';",
"\"Hotel & Travel\" is the category_name; most review refers to Max(Count(category_id)); Average star per user = Divide (Sum (review_stars), Count(user_id))",
"attribute name which start with \"music\" refers to attribute_name LIKE 'music%'",
"can be attributed to 'Good for Kids' refers to attribute_name = 'Good for Kids' and attribute_value = 'true'"
]
} |
{
"query": "What is the percentage for the Yelp businesses in \"Pets\" category of all businesses?",
"pos": [
"businesses in \"Pets\" category refers to category_name = 'Pets'; percentage refers to DIVIDE(COUNT(category_name = 'Pets'), COUNT(business_id)) * 100%"
],
"neg": [
"medium reviews refers to review_length = 'Medium';",
"drive-thru refers to attribute_name = 'Drive-Thru' AND attribute_value = 'true'; Scottsdale refers to city = 'Scottsdale'; business_id < 1000;",
"ratio = divide(count(business_id where category_name = 'Shopping'), count(business_id where category_name = 'Pets'))",
"active businesses refers to active = 'true'; AZ is a state; medium review count refers to review_count = 'Medium'",
"active businesses refers to active = 'true'; attribute of caters refers to attribute_name = 'Caters'",
"high review count refers to review_count = 'High'; received 2 stars refers to stars = 2; category refers to category_name",
"'Phoenix' is the city; waiter service refers to attribute_name = 'waiter_services'",
"long refers to review_length = 'Long';",
"active business ID refers to active = 'true'; categories refers to category_name; Glendale is a city; AZ is a state",
"\"Good for Kids\" attribute refers to attribute_name = 'Good for Kids' AND attribute_value = 'true'; Calculation = DIVIDE(SUM(attribute_name = 'Good for Kids' AND attribute_value = 'true')), SUM(business_id) * 100"
]
} |
{
"query": "Calculate the percentage of businesses with the category name food that are open from 7AM to 8PM in the businesses with the same time.",
"pos": [
"DIVIDE(COUNT(business_id where category_name = 'Food' and opening_time = '7AM' and closing_time = '8PM'), COUNT(business_id where opening_time = '7AM' and closing_time = '8PM')) as percentage;"
],
"neg": [
"drive-thru refers to attribute_name = 'Drive-Thru' AND attribute_value = 'true'; Scottsdale refers to city = 'Scottsdale'; business_id < 1000;",
"actively running refers to active = 'TRUE'; Tolleson refers to city = 'Tolleson';",
"business no. 14033 refers to business_id = 14033; good for supper refers to attribute_name = 'good_for_dinner'",
"active businesses in Arizona refer to business_id where state = 'Arizona' and active = 'true'; work after 12PM refer to opening_time > '12PM';",
"opened from 8AM to 6PM refers to Business_Hours where opening_time = '8AM' and closing_time = '6PM'; days refer to day_id;",
"location of businesses refers to city and state; business hours from 8 am to 9 pm refers to opening_time = '8AM', closing_time = '9PM'; every Friday refers to day_of_week = 'Friday'",
"Chinese refers to category_name = 'Chinese'; Filipino refers to category_name = 'Filipino'; how many more = SUBTRACT(SUM(category_name = 'Chinese'), SUM(category_name = 'Filipino'));",
"bring their own beer refers to attribute_name = 'BYOB' AND attribute_value = 'TRUE'; Phoenix refers to city = 'Phoenix'; percentage = MULTIPLY(DIVIDE(SUM(city = 'Phoenix'), COUNT(business_id)), 1.0)",
"shopping business refers to category_name = 'Shopping'; opening time before 8AM refers to opening_time < '8AM';",
"DIVIDE(COUNT(business_id where review_count = 'Low' and active = 'true'), COUNT(business_id where review_count = 'Low' and active = 'false'));"
]
} |
{
"query": "How many of the busineses are in Casa Grande?",
"pos": [
"in Casa Grande refers to city = 'Casa Grande'"
],
"neg": [
"shopping business refers to category_name = 'Shopping'; opening time before 8AM refers to opening_time < '8AM';",
"category refers to category_name; highest review stars refers to max(review_stars); business ID from 6 to 9 refers to business_id between 6 and 9",
"how much time does this business open refers to SUBTRACT(closing_time, opening_time); DIVIDE(SUM(SUBTRACT(closing_time, opening_time)), SUM(Business.business_id))",
"opened for 24/7 refers to Business_Hours WHERE opening_time = closing_time and business_id COUNT(day_id) = 7; business attribute refers to attribute_name",
"opening hours refers to opening_time; earlier than 8AM refers to opening_time < '8AM';",
"medium length tip refers to tip_length = 'Medium';",
"under the category \"Food\" refers to category_name = 'Food'",
"average review = Divide(Count(user_id), Count(business_id))",
"user no.3 refers to user_id = 3; in Arizona refers to state = 'AZ'; stars on average = avg(review_stars(user_id = 3))",
"in Arizona refers to state = 'AZ'; user no. 3 refers to user_id = 3"
]
} |
{
"query": "Calculate the percentage of business with attribute name of \"Accepts Credit Cards\".",
"pos": [
"percentage refers to DIVIDE(COUNT(attribute_name = 'Accepts Credit Cards'), COUNT(business_id))*100%"
],
"neg": [
"cool compliments refers to compliment_type = 'cool'; user number refers to user_id;",
"AVG(user_yelping_since_year) where user_id from Elite;",
"close after 8PM refers to closing_time = '9PM' or closing_time = '10PM' closing_time = '11PM' closing_time = '12PM'; Mondays refers to day_of_week = 'Monday'",
"active business refers to active = 'true'; 'Pets' is the category_name",
"opening hours before 7AM refer to opening_time < '7AM'; businesses refer to business_id;",
"\"Good for Kids\" attribute refers to attribute_name = 'Good for Kids' AND attribute_value = 'true'; Calculation = DIVIDE(SUM(attribute_name = 'Good for Kids' AND attribute_value = 'true')), SUM(business_id) * 100",
"opened from 8AM to 6PM refers to Business_Hours where opening_time = '8AM' and closing_time = '6PM'; days refer to day_id;",
"started using Yelp since 2004 refers to user_yelping_since_year = '2004'; had high followers refers to user_fans = 'High'",
"\"Tempe\" is the name of city; long review refers to review_length = 'Long'",
"category of food refers to category_name = 'Food'; calculation = DIVIDE(COUNT(stars > 3), SUM(stars))"
]
} |
{
"query": "Identify the most popular and appealing active business in Gilbert based on users' reviews.",
"pos": [
"most popular and appealing refers to review_count = 'High' and max(stars); active business refers to active = 'true'; in Gilbert refers to city = 'Gilbert'"
],
"neg": [
"category of businesses refers to category_name; stars ratings are 5 refers to stars = 5",
"bring their own beer refers to attribute_name = 'BYOB' AND attribute_value = 'TRUE'; Phoenix refers to city = 'Phoenix'; percentage = MULTIPLY(DIVIDE(SUM(city = 'Phoenix'), COUNT(business_id)), 1.0)",
"1 pm refers to opening_time = '1PM'; 6 pm refers to closing_time = '6PM'; on Saturday refers to day_of_week = 'Saturday'",
"\"Shopping Centers\" is the category_name; high review count refers to review_count = 'High'",
"business no. 14033 refers to business_id = 14033; good for supper refers to attribute_name = 'good_for_dinner'",
"active business refers to active = 'true'; 'AZ' is the state; high review count refers to review_count = 'High'",
"active business refers to active = 'true': 'Mesa' is the name of city; 'AZ' is the state; low review count refers to review_count = 'Low'; category refers to category_name",
"ratio = divide(count(business_id where category_name = 'Shopping'), count(business_id where category_name = 'Pets'))",
"active business refers to active = 'true'; category of Fashion refers to category = 'Fashion'",
"ID number refers to attribute_id"
]
} |
{
"query": "How many open businesses in the City of Phoenix have users left a long review?",
"pos": [
"open businesses refers to active = 'true'; long review refers to review_length = 'Long'"
],
"neg": [
"high compliments refers to number_of_compliments = ' High'; joined Yelp earliest refers to min(user_yelping_since_year)",
"business time of longer than 12 hours refers to subtract(closing_time, opening_time) > 12; on Sundays refers to day_of_week = 'Sunday'",
"opened for 24 hours refers to attribute_name = 'Open 24 Hours' AND attribute_value = 'true'",
"with great experience refers to stars = 5",
"business that accept insurance refers to attribute_name = 'Accepts Insurance' AND attribute_value = 'true'",
"categories refers to category_name",
"in Mesa refers to city = 'Mesa'; alcohol attribute refers to attribute_name = 'Alcohol'",
"type of compliments refers to compliment_type; user No. refers to user_id;",
"year with yelp = Subtract ('%Y'(CURRENT TIME), user_yelping_since_year)",
"in Chandelier refers to city = 'Chandelier'; percentage = divide(count(business_id where review_votes_funny = 'Low'), count(business_id)); business with low funny votes refers to review_votes_funny = 'Low'"
]
} |
{
"query": "Please list any two user numbers that have an \"Uber\" number of cute compliments.",
"pos": [
"user numbers refers to user_id; Uber number refers to number_of_compliments = 'Uber'; cute compliments refers to compliment_type = 'cute';"
],
"neg": [
"\"Gilbert\" is the name of city; high review count refers to review_count = 'High'",
"cool compliments refers to compliment_type = 'cool'; user number refers to user_id;",
"long reviews refers to review_length = 'long'; most number of long reviews refers to MAX(COUNT(review_length = 'long')); category refers to category_name;",
"business No. refers to business_id; have TV refers to attribute_name = 'Has TV';",
"10 am refers to opening_time = '10AM'; 12 pm refers to closing_time = '12PM'; on Sunday refers to day_of_week = 'Sunday'",
"business that accept insurance refers to attribute_name = 'Accepts Insurance' AND attribute_value = 'true'",
"in Casa Grande refers to city = 'Casa Grande'",
"active businesses refers to active = 'true'; in Tempe refers to city = 'Tempe'; with stars greater than the 70% of average age of star rating refers to stars > DIVIDE(sum(stars), COUNT(business_id)) * 70%",
"opening times of 7AM and closing times of 8PM refer to Business_Hours where opening_time = '7AM' and closing_time = '8PM'; active business refers to business_id where active = 'true';",
"drive-thru refers to attribute_name = 'Drive-Thru' AND attribute_value = 'true'; Scottsdale refers to city = 'Scottsdale'; business_id < 1000;"
]
} |
{
"query": "For the Yelp business which had the most number of \"long\" reviews, which category does it belong to?",
"pos": [
"long reviews refers to review_length = 'long'; most number of long reviews refers to MAX(COUNT(review_length = 'long')); category refers to category_name;"
],
"neg": [
"best elite refers to user_average_stars = 5; worse eliter refers to user_average_stars = 1: in 2013 refers to year_id = 2013; ratio = Divide(Count(user_id(user_average_stars = 5)), Count(user_id(user_average_stars = 1)))",
"active business refers to active = 'true'; not in Arizona refers to state ! = 'AZ'; category refers to category_name",
"rating more than 2 refers to stars > 2;",
"attribute numbers refers to attribute_id; related to payment refers to attribute_name like '%payment%';",
"medium refers to number_of_compliments = 'Medium';",
"5 in the Elitestar rating refers to stars = 5;",
"medium tip length refers to tip_length = 'Medium'; percentage = divide(count(tips where tip_length = 'Medium'), count(tips))*100%; the time when users join Yelp refers to user_yelping_since_year",
"\"ambience_romantic\" attribute refers to attribute_name = 'ambience_romantic' AND attribute_value = 'true'",
"\"Local Services\" is the category_name; less than 3 stars refers to stars < 3; percentage = Divide(Count(business_id(stars < 3)), Count(business_id)) * 100",
"good for kids refers to attribute_name = 'Good for Kids' and attribute_value = 'true'\n"
]
} |
{
"query": "What is the average rating of inactive businesses?",
"pos": [
"rating refers to stars; inactive refers to active = 'False'; average rating of inactive businesses = DIVIDE(SUM(stars), COUNT(business_id));"
],
"neg": [
"located in Phoenix refers to city = 'Phoenix'; Arizona refers to state = 'AZ'",
"year the user join the Yelp refers to user_yelping_since_year; most number of short tips refers to MAX(COUNT(tip_length = 'Short'));",
"active businesses refers to active = 'true'; in Chandler refers to city = 'Chandler'",
"low cool vote for user refers to user_votes_cool = 'Low'; low cool vote for review refers to review_votes_cool = 'Low'",
"low number of compliments refers to number_of_compliments = 'Low'; percentage refers to DIVIDE(COUNT(number_of_compliments = 'Low'), COUNT(user_id)) * 100",
"operating hours refers to opening_time closing_time on day_id; in Black Canyon City refers to city = 'Black Canyon City'; greater than average refers to review_count > AVG(T1.review_count)",
"\"Local Services\" is the category_name; less than 3 stars refers to stars < 3; percentage = Divide(Count(business_id(stars < 3)), Count(business_id)) * 100",
"Yelp user refers to user_id; average 5-star rating refers to user_average_stars = 5; yelping the longest refers to min(user_yelping_since_year)",
"short comment refers to tip_length = 'Short'; users who joined in 2010 refer to user_id where user_yelping_since_year = 2010;",
"in Arizona refers to state = 'AZ'; closes at 12PM refers to closing_time = '12PM'; on Sundays refers to day_of_week = 'Sunday'"
]
} |
{
"query": "How many businesses accept insurance?",
"pos": [
"business that accept insurance refers to attribute_name = 'Accepts Insurance' AND attribute_value = 'true'"
],
"neg": [
"business no. 14033 refers to business_id = 14033; good for supper refers to attribute_name = 'good_for_dinner'",
"business No. refers to business_id; have TV refers to attribute_name = 'Has TV';",
"number of useful votes refers to review_votes_useful; business number refers to business_id;",
"music_karaoke attribute refers to attribute_name = 'music_karaoke' AND attribute_value = 'true'; businesses are closed refers to active = 'false'",
"5 star reviews refers to review_stars = 5; business No. refers to business_id;",
"under the category \"Food\" refers to category_name = 'Food'",
"open businesses refers to active = 'true'; long review refers to review_length = 'Long'",
"more appealing to users refers to MAX(review_count);",
"drive-thru refers to attribute_name = 'Drive-Thru' AND attribute_value = 'true'; Scottsdale refers to city = 'Scottsdale'; business_id < 1000;",
"users refer to user_id; review_votes_funny = 'uber';"
]
} |
{
"query": "Please give the order number and product name of the order which has the lowest unit price.",
"pos": [
"the lowest unit price refers to MIN(Unit Price);"
],
"neg": [
"\"California\" is the name of State; in store refers to Sales Channel = 'In-Store'; 20% discount refers to Discount Applied = '0.2'",
"highest net profit = Max(Subtract (Unit Price, Unit Cost)); name of product refers to Product Name",
"total orders of over 3 in 2018 refer to COUNT(OrderNumber) > 3 where SUBSTR(OrderDate, -2) = '18';",
"Medline is the name of the customer; DIVIDE(COUNT(OrderNumber where Sales Channel = 'In-Store' and Customer Names = 'Medline'), COUNT(OrderNumber where Customer Names = 'Medline')) as percentage;",
"total orders refer to COUNT(OrderNumber); 2020 refers to SUBSTR(OrderDate, -2) = '20';",
"shipped refers to ShipDate; in 2019 refers to shipped in 2019 refers to SUBSTR(ShipDate, -2) = '19'; order in the said year refers to SUBSTR(OrderDate, -2) = '19'; highest number of order refers to Max(Count(OrderNumber))",
"ordered on 10/21/18 refers to OrderDate = '10/21/18'; delivered on 11/21/19 refers to DeliveryDate = '11/21/19'; name of product refers to Product Name",
"unit cost greater than 4000USD refers to Unit Cost > 4000;",
"highest net profit refers to Max(Subtract(Unit Price, Unit Cost)); name of product refers to Product Name",
"40% discount refers to Discount Applied = 0.4; in-store channel refers to Sales Channel = 'In-Store'; orders refer to OrderNumber;"
]
} |
{
"query": "From 2018 to 2020, which year did the George Lewis group have the highest number of orders?",
"pos": [
"George Lewis refers to Sales Team; the highest number of orders refers to MAX(COUNT(OrderNumber)); which year from 2018 to 2020 refers to SUBSTR(OrderDate, -2) IN ('18', '19', '20') GROUP BY SUBSTR(OrderDate, -2);"
],
"neg": [
"products refers to Product Name; via wholesale channel refers to Sales Channel = 'Wholesale'",
"sale team names refer to Sales Team; the least orders in 2019 refer to MIN(COUNT(OrderNumber where SUBSTR(OrderDate, -2) = '19'));",
"ratio can be calculated as DIVIDE(MAX(Unit_Cost)), MIN(Unit Cost);",
"Sales Team = 'Stephen Payne'; net profit can be computed as SUBTRACT(Unit Price, Unit Cost); DIVIDE(COUNT(OrderNumber where Sales Team = 'Stephen Payne' and Net Profit > 1000)), (COUNT(OrderNumber where Sales Team = 'Stephen Payne')) as percentage;",
"Medline is the name of the customer; DIVIDE(COUNT(OrderNumber where Sales Channel = 'In-Store' and Customer Names = 'Medline'), COUNT(OrderNumber where Customer Names = 'Medline')) as percentage;",
"highest net profit = Max(Subtract (Unit Price, Unit Cost)); name of product refers to Product Name",
"\"Elorac, Corp\" is the Customer Names",
"less need for products refers to Order Quantity = 1; purchased through a distributor refers to Sales Channel = 'Distributor'; 'Harri County' is the County",
"delivered in 2021 refer to DeliveryDate LIKE '%/21'; 'Sundial' is the Customer Names",
"\"Chandler\" is the City Name; orders refers to OrderDate; in 2020 refers to Substr(OrderDate, -2) = '20'"
]
} |
{
"query": "Which product was ordered the most in 2018?",
"pos": [
"product refers to Product Name; ordered the most in 2018 refers to MAX(COUNT(OrderNumber)) where SUBSTR(OrderDate, -2) = '18';"
],
"neg": [
"Sales Team = 'Stephen Payne'; net profit can be computed as SUBTRACT(Unit Price, Unit Cost); DIVIDE(COUNT(OrderNumber where Sales Team = 'Stephen Payne' and Net Profit > 1000)), (COUNT(OrderNumber where Sales Team = 'Stephen Payne')) as percentage;",
"cities refer to City Name; no water area refers to Water Area = 0;",
"applied 10% discount refers to Discount Applied = 0.1;",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); the greatest net profit in 2020 refers to MAX(net profit) where OrderDate LIKE '%/20';",
"WARE-PUJ1005 is the WarehouseCode; fewest times refers to Min (Count(WarehouseCode))",
"type of store in City refers to Type = 'City'; highest amount of water area refers to Max(Water Area)",
"\"Weimei Corp\" is the Customer Names; in 2018, 2019 and 2020 refers to SUBSTR (OrderDate, -2) IN ('18', '19', '20') : Average order = Divide (Count (OrderNumber), 3)",
"name containing the word 'Group' refers to Customer Names LIKE '%Group%';",
"highest net profit refers to Max(Subtract(Unit Price, Unit Cost)); name of product refers to Product Name",
"George Lewis refers to Sales Team; the highest number of orders refers to MAX(COUNT(OrderNumber)); which year from 2018 to 2020 refers to SUBSTR(OrderDate, -2) IN ('18', '19', '20') GROUP BY SUBSTR(OrderDate, -2);"
]
} |
{
"query": "State the order number where Qualitest ordered the highest product quantity.",
"pos": [
"Qualitest ordered the highest product quantity refers to Customer Names where MAX(Order Quantity);"
],
"neg": [
"\"Distributor\" is the Sales Channel; minimum quantity refers to Min(Order Quantity)",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); the highest net profit in 2019 refers to MAX(Net Profit) where OrderDate LIKE '%/19'; product refers to Product Name;",
"number of order refers to OrderNumber; population of 3000000 to 4000000 refers to Population BETWEEN 3000000 AND 4000000",
"name of customer refers to Customer Names; from 2018 to 2020 refers to OrderDate between '1/1/2018' and '31/12/2020'; most number of order quantity refers to Order Quantity = 8",
"Medsep Group is the name of the customer; orders refer to OrderNumber;",
"orders refer to OrderNumber; more than 5 product quantities refer to Order Quantity > 5;",
"average land area = Divide (Sum(Land Area), Count(Land Area))",
"the highest unit price refers to MAX(Unit Price);",
"COUNT(OrderNumber where Product Name = 'Platters') > COUNT(OrderNumber where Product Name = 'Serveware');",
"average household income = Divide (Sum(Household Income), Count(City Name)); highest number of store refers to Max(Count(StoreID))"
]
} |
{
"query": "Which city has the largest population?",
"pos": [
"city has the largest population refers to City Name where MAX(Population);"
],
"neg": [
"Product Name = 'Baseball'; December 2017 refers to OrderDate LIKE '12/%/17';",
"total order quantity refers to Sum (Order Quantity); 'Candles' is the Products Name; percentage = Divide (Sum(Order Quantity where Product Name = 'Candles'), Sum(Order Quantity)) * 100",
"type of store in City refers to Type = 'City'; highest amount of water area refers to Max(Water Area)",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); AVG(net profit) where Product Name = 'Bakeware';",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); highest median income city refers to City Name where MAX(Median Income);",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); AVG(net profit) where Product Name = 'Phones' and Sales Channel = 'Distributor';",
"order refers to OrderDate; in 2020 refers to Substr(OrderDate, -2) = '20'; January refers to Substr(OrderDate, 1, 1) = '1'; most preferred sales channel refers to Sales Channel where Max(Count(OrderNumber))",
"total orders of over 3 in 2018 refer to COUNT(OrderNumber) > 3 where SUBSTR(OrderDate, -2) = '18';",
"\"Joshua Bennett\" is the name of Sales Team",
"sales order on 04/04/2020 refers to OrderDate = '4/4/20'; 'New York' is the City Name; percentage = Divide (Sum(OrderNumber where City Name = 'New York'), Count (OrderNumber)) * 100"
]
} |
{
"query": "Please list the names of customers who have total orders of over 3 in 2018.",
"pos": [
"total orders of over 3 in 2018 refer to COUNT(OrderNumber) > 3 where SUBSTR(OrderDate, -2) = '18';"
],
"neg": [
"sale team ID of 18 refers to _SalesTeamID = 18; COUNT(OrderNumber where Sales Channel = 'In-Store') > COUNT(OrderNumber where Sales Channel = 'Online');",
"type of store in City refers to Type = 'City'; highest amount of water area refers to Max(Water Area)",
"\"Midwest\" is the Region",
"average household income = Divide (Sum(Household Income), Count(City Name)); highest number of store refers to Max(Count(StoreID))",
"Latitude and Longitude coordinates can be used to identify the detailed position of stores; id refers to StoreID;",
"Rochester Ltd is the name of the customer; all the numbers ordered refer to OrderNumber; 2018 refers to SUBSTR(OrderDate, -2) = '18';",
"total order quantity refers to Sum (Order Quantity); 'Candles' is the Products Name; percentage = Divide (Sum(Order Quantity where Product Name = 'Candles'), Sum(Order Quantity)) * 100",
"orders online refer to Sales Channel = 'Online';",
"most populated refers to Max(Population);",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); highest median income city refers to City Name where MAX(Median Income);"
]
} |
{
"query": "Among the products with an order quantity of no less than 5 that was shipped in the month of May 2019, what is the name of the product with the lowest net profit?",
"pos": [
"order quantity of no less than 5 refers to Order Quantity > 5; shipped in the month of May 2019 refers to ShipDate LIKE '5/%/19'; lowest net profit = Min(Subtract(Unit Price, Unit Cost)); name of product refers to Products Name"
],
"neg": [
"city has the largest population refers to City Name where MAX(Population);",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); the highest net profit in 2019 refers to MAX(Net Profit) where OrderDate LIKE '%/19'; product refers to Product Name;",
"\"WARE-UHY1004\" is the WarehouseCode",
"\"Weimei Corp\" is the Customer Names; in 2018, 2019 and 2020 refers to SUBSTR (OrderDate, -2) IN ('18', '19', '20') : Average order = Divide (Count (OrderNumber), 3)",
"type of store in City refers to Type = 'City'; highest amount of water area refers to Max(Water Area)",
"Medsep Group is the name of the customer; orders refer to OrderNumber;",
"ratio can be calculated as DIVIDE(MAX(Unit_Cost)), MIN(Unit Cost);",
"DIVIDE(SUM(Order Quantity where Product Name = 'Ornaments' and OrderDate LIKE '%/18'), 12);",
"DIVIDE(COUNT(OrderNumber where County = 'Orange County' and SUBSTR(OrderDate, -2) = '18'), COUNT(OrderNumber where SUBSTR(OrderDate, -2) = '18')) as percentage;",
"WARE-PUJ1005 is the WarehouseCode; fewest times refers to Min (Count(WarehouseCode))"
]
} |
{
"query": "How many stores procured products on October 27, 2018, in the city of Oregon?",
"pos": [
"October 27, 2018 refers to ProcuredDate = '10/27/18'; 'Oregon' is the State"
],
"neg": [
"highest net profit = Max(Subtract (Unit Price, Unit Cost)); name of product refers to Product Name",
"\"Weimei Corp\" is the Customer Names; in 2018, 2019 and 2020 refers to SUBSTR (OrderDate, -2) IN ('18', '19', '20') : Average order = Divide (Count (OrderNumber), 3)",
"in the South refers to Region = 'South'; type of store that is most popular refers to Max(Count(Type))",
"sales order on 04/04/2020 refers to OrderDate = '4/4/20'; 'New York' is the City Name; percentage = Divide (Sum(OrderNumber where City Name = 'New York'), Count (OrderNumber)) * 100",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); AVG(net profit) where Product Name = 'Bakeware';",
"\"Midwest\" is the Region",
"the highest unit price refers to MAX(Unit Price);",
"less need for products refers to Order Quantity = 1; purchased through a distributor refers to Sales Channel = 'Distributor'; 'Harri County' is the County",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); AVG(net profit) where Product Name = 'Bar Tools' and Order Quantity > 5;",
"order refers to OrderDate; in 2020 refers to Substr(OrderDate, -2) = '20'; January refers to Substr(OrderDate, 1, 1) = '1'; most preferred sales channel refers to Sales Channel where Max(Count(OrderNumber))"
]
} |
{
"query": "Please list the id and detailed position of all stores in Birmingham city.",
"pos": [
"Latitude and Longitude coordinates can be used to identify the detailed position of stores; id refers to StoreID;"
],
"neg": [
"Rochester Ltd is the name of the customer; all the numbers ordered refer to OrderNumber; 2018 refers to SUBSTR(OrderDate, -2) = '18';",
"cities refer to City Name; no water area refers to Water Area = 0;",
"COUNT(OrderNumber where Product Name = 'Platters') > COUNT(OrderNumber where Product Name = 'Serveware');",
"highest net profit refers to Max(Subtract(Unit Price, Unit Cost)); name of product refers to Product Name",
"\"Weimei Corp\" is the Customer Names; in 2018, 2019 and 2020 refers to SUBSTR (OrderDate, -2) IN ('18', '19', '20') : Average order = Divide (Count (OrderNumber), 3)",
"products refers to Product Name; via wholesale channel refers to Sales Channel = 'Wholesale'",
"ratio can be calculated as DIVIDE(MAX(Unit_Cost)), MIN(Unit Cost);",
"name containing the word 'Group' refers to Customer Names LIKE '%Group%';",
"most populous country refers to Max(Population)",
"floral product refers to Product Name = 'Floral'; total net profit = SUM(Subtract(Unit Price, Unit Cost)); delivered in 2021 refers to DeliveryDate LIKE '%/21'"
]
} |
{
"query": "What is the detailed position of the store which has order SO - 000115?",
"pos": [
"Latitude and Longitude coordinates can be used to identify the detailed position of stores; store refers to StoreID WHERE OrderNumber = 'SO - 000115';"
],
"neg": [
"unit cost greater than 4000USD refers to Unit Cost > 4000;",
"product refers to Product Name; ordered the most in 2018 refers to MAX(COUNT(OrderNumber)) where SUBSTR(OrderDate, -2) = '18';",
"\"WARE-MKL1006\" is the WarehouseCode; most shipment to region refers to Max(Count(Region))",
"total orders refer to COUNT(OrderNumber); 2020 refers to SUBSTR(OrderDate, -2) = '20';",
"number of order refers to OrderNumber; population of 3000000 to 4000000 refers to Population BETWEEN 3000000 AND 4000000",
"average household income = Divide (Sum(Household Income), Count(City Name)); highest number of store refers to Max(Count(StoreID))",
"products refers to Product Name; via wholesale channel refers to Sales Channel = 'Wholesale'",
"Product Name = 'Baseball'; December 2017 refers to OrderDate LIKE '12/%/17';",
"sales order on 04/04/2020 refers to OrderDate = '4/4/20'; 'New York' is the City Name; percentage = Divide (Sum(OrderNumber where City Name = 'New York'), Count (OrderNumber)) * 100",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); AVG(net profit) where Product Name = 'Phones' and Sales Channel = 'Distributor';"
]
} |
{
"query": "Calculate the average net profit of phones which have sales channel of distributor.",
"pos": [
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); AVG(net profit) where Product Name = 'Phones' and Sales Channel = 'Distributor';"
],
"neg": [
"order quantity greater than 5 refers to Order Quantity > 5",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); AVG(net profit) where Product Name = 'Bakeware';",
"sales order on 04/04/2020 refers to OrderDate = '4/4/20'; 'New York' is the City Name; percentage = Divide (Sum(OrderNumber where City Name = 'New York'), Count (OrderNumber)) * 100",
"\"Michigan\" is the State",
"Latitude and Longitude coordinates can be used to identify the detailed position of stores; store refers to StoreID WHERE OrderNumber = 'SO - 000115';",
"Rochester Ltd is the name of the customer; orders refer to OrderNumber;",
"ratio can be calculated as DIVIDE(MAX(Unit_Cost)), MIN(Unit Cost);",
"Cookware is the name of the product;",
"delivered in 2021 refer to DeliveryDate LIKE '%/21'; 'Sundial' is the Customer Names",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); highest median income city refers to City Name where MAX(Median Income);"
]
} |
{
"query": "Among the products sold in Maricopa County, which was the least sold?",
"pos": [
"the least sold product refers to Product Name where MIN(Order Quantity);"
],
"neg": [
"the most number of sales team refers to MAX(COUNT(Sales Team));",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); Joshua Bennett is the name of Sales Team;",
"products refers to Product Name; via wholesale channel refers to Sales Channel = 'Wholesale'",
"shipped refers to ShipDate; in 2019 refers to shipped in 2019 refers to SUBSTR(ShipDate, -2) = '19'; order in the said year refers to SUBSTR(OrderDate, -2) = '19'; highest number of order refers to Max(Count(OrderNumber))",
"George Lewis refers to Sales Team; the highest number of orders refers to MAX(COUNT(OrderNumber)); which year from 2018 to 2020 refers to SUBSTR(OrderDate, -2) IN ('18', '19', '20') GROUP BY SUBSTR(OrderDate, -2);",
"ordered on 6th June 2018 refers to OrderDate = '6/5/18'",
"Sales Team = 'Stephen Payne'; net profit can be computed as SUBTRACT(Unit Price, Unit Cost); DIVIDE(COUNT(OrderNumber where Sales Team = 'Stephen Payne' and Net Profit > 1000)), (COUNT(OrderNumber where Sales Team = 'Stephen Payne')) as percentage;",
"\"Elorac, Corp\" is the Customer Names",
"Medsep Group is the name of the customer; orders refer to OrderNumber;",
"COUNT(OrderNumber where Product Name = 'Platters') > COUNT(OrderNumber where Product Name = 'Serveware');"
]
} |
{
"query": "Among the sales with 40% discount via in-store channel, how many products were shipped from warehouse code of WARE-NMK1003?",
"pos": [
"40% discount refers to Discount Applied = 0.4; in-store channel refers to Sales Channel = 'In-Store'; orders refer to OrderNumber;"
],
"neg": [
"total orders refer to COUNT(OrderNumber); 2020 refers to SUBSTR(OrderDate, -2) = '20';",
"\"Weimei Corp\" is the Customer Names; in 2018, 2019 and 2020 refers to SUBSTR (OrderDate, -2) IN ('18', '19', '20') : Average order = Divide (Count (OrderNumber), 3)",
"products with the ID of 30 to 40 refer to Product Name WHERE ProductID BETWEEN 30 AND 40;",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); highest median income city refers to City Name where MAX(Median Income);",
"number of order refers to OrderNumber; population of 3000000 to 4000000 refers to Population BETWEEN 3000000 AND 4000000",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); AVG(net profit) where Product Name = 'Bar Tools' and Order Quantity > 5;",
"\"Chandler\" is the City Name; orders refers to OrderDate; in 2020 refers to Substr(OrderDate, -2) = '20'",
"\"Apollo Ltd\" is the Customer Names; most expensive unit price refers to max(Unit Price)",
"floral product refers to Product Name = 'Floral'; total net profit = SUM(Subtract(Unit Price, Unit Cost)); delivered in 2021 refers to DeliveryDate LIKE '%/21'",
"Medsep Group is the name of the customer; orders refer to OrderNumber;"
]
} |
{
"query": "How many Borough-type stores located in the city of Brooklyn have a population of less than 3 million?",
"pos": [
"\"Brooklyn\" is the CityName; population of less than 3 million refers to Population < 3000000"
],
"neg": [
"Product Name = 'Baseball'; December 2017 refers to OrderDate LIKE '12/%/17';",
"WARE-PUJ1005 is the WarehouseCode; fewest times refers to Min (Count(WarehouseCode))",
"order quantity of no less than 5 refers to Order Quantity > 5; shipped in the month of May 2019 refers to ShipDate LIKE '5/%/19'; lowest net profit = Min(Subtract(Unit Price, Unit Cost)); name of product refers to Products Name",
"In-Store sales refer to Sales Channel = 'In-Store'; city refers to City Name;",
"Sales Team = 'Stephen Payne'; net profit can be computed as SUBTRACT(Unit Price, Unit Cost); DIVIDE(COUNT(OrderNumber where Sales Team = 'Stephen Payne' and Net Profit > 1000)), (COUNT(OrderNumber where Sales Team = 'Stephen Payne')) as percentage;",
"highest unit price refers to Max(Unit Price)",
"sale team ID of 18 refers to _SalesTeamID = 18; COUNT(OrderNumber where Sales Channel = 'In-Store') > COUNT(OrderNumber where Sales Channel = 'Online');",
"highest unit price refers to Max(Unit Price)",
"shipped refers to ShipDate; in 2019 refers to shipped in 2019 refers to SUBSTR(ShipDate, -2) = '19'; order in the said year refers to SUBSTR(OrderDate, -2) = '19'; highest number of order refers to Max(Count(OrderNumber))",
"name of customer refers to Customer Names; from 2018 to 2020 refers to OrderDate between '1/1/2018' and '31/12/2020'; most number of order quantity refers to Order Quantity = 8"
]
} |
{
"query": "Describe the product names delivered in 2021 for the customer \"Sundial\".",
"pos": [
"delivered in 2021 refer to DeliveryDate LIKE '%/21'; 'Sundial' is the Customer Names"
],
"neg": [
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); Joshua Bennett is the name of Sales Team;",
"average land area = Divide (Sum(Land Area), Count(Land Area))",
"\"WARE-UHY1004\" is the WarehouseCode",
"the most number of sales team refers to MAX(COUNT(Sales Team));",
"in the South refers to Region = 'South'; type of store that is most popular refers to Max(Count(Type))",
"the highest unit price refers to MAX(Unit Price);",
"ordered on 6th June 2018 refers to OrderDate = '6/5/18'",
"order quantity greater than 5 refers to Order Quantity > 5",
"California is a state; CDP stores refer to StoreID where Type = 'CDP';",
"George Lewis refers to Sales Team; the highest number of orders refers to MAX(COUNT(OrderNumber)); which year from 2018 to 2020 refers to SUBSTR(OrderDate, -2) IN ('18', '19', '20') GROUP BY SUBSTR(OrderDate, -2);"
]
} |
{
"query": "Which order number has the highest unit price?",
"pos": [
"the highest unit price refers to MAX(Unit Price);"
],
"neg": [
"WARE-PUJ1005 is the WarehouseCode; fewest times refers to Min (Count(WarehouseCode))",
"COUNT(OrderNumber where Product Name = 'Platters') > COUNT(OrderNumber where Product Name = 'Serveware');",
"number of order refers to OrderNumber; population of 3000000 to 4000000 refers to Population BETWEEN 3000000 AND 4000000",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); the greatest net profit in 2020 refers to MAX(net profit) where OrderDate LIKE '%/20';",
"DIVIDE(SUM(Order Quantity where Product Name = 'Ornaments' and OrderDate LIKE '%/18'), 12);",
"total orders refer to COUNT(OrderNumber); 2020 refers to SUBSTR(OrderDate, -2) = '20';",
"ratio can be calculated as DIVIDE(MAX(Unit_Cost)), MIN(Unit Cost);",
"cities refer to City Name; no water area refers to Water Area = 0;",
"\"Apollo Ltd\" is the Customer Names; most expensive unit price refers to max(Unit Price)",
"shipped from Daly City refers to Store Locations where City Name = 'Daly City'; orders refer to OrderNumber;"
]
} |
{
"query": "How many stores with less need for products, and purchased through a distributor, are located in Washtenaw County?",
"pos": [
"less need for products refers to Order Quantity = 1; purchased through a distributor refers to Sales Channel = 'Distributor'; 'Harri County' is the County"
],
"neg": [
"total order quantity refers to Sum (Order Quantity); 'Candles' is the Products Name; percentage = Divide (Sum(Order Quantity where Product Name = 'Candles'), Sum(Order Quantity)) * 100",
"the lowest unit price refers to MIN(Unit Price);",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); the highest net profit in 2019 refers to MAX(Net Profit) where OrderDate LIKE '%/19'; product refers to Product Name;",
"orders online refer to Sales Channel = 'Online';",
"city has the largest population refers to City Name where MAX(Population);",
"highest unit price refers to Max(Unit Price)",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); Joshua Bennett is the name of Sales Team;",
"Rochester Ltd is the name of the customer; all the numbers ordered refer to OrderNumber; 2018 refers to SUBSTR(OrderDate, -2) = '18';",
"Medline is the name of the customer; DIVIDE(COUNT(OrderNumber where Sales Channel = 'In-Store' and Customer Names = 'Medline'), COUNT(OrderNumber where Customer Names = 'Medline')) as percentage;",
"most populated refers to Max(Population);"
]
} |
{
"query": "Calculate the total net profit of the store located in highest median income city.",
"pos": [
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); highest median income city refers to City Name where MAX(Median Income);"
],
"neg": [
"AVG(Unit Price where Product Name = 'Cookware');",
"delivered in 2021 refer to DeliveryDate LIKE '%/21'; 'Sundial' is the Customer Names",
"average household income = Divide (Sum(Household Income), Count(City Name)); highest number of store refers to Max(Count(StoreID))",
"product refers to Product Name; ordered the most in 2018 refers to MAX(COUNT(OrderNumber)) where SUBSTR(OrderDate, -2) = '18';",
"sale team names refer to Sales Team; the least orders in 2019 refer to MIN(COUNT(OrderNumber where SUBSTR(OrderDate, -2) = '19'));",
"California is a state; CDP stores refer to StoreID where Type = 'CDP';",
"Medline is the name of the customer; DIVIDE(COUNT(OrderNumber where Sales Channel = 'In-Store' and Customer Names = 'Medline'), COUNT(OrderNumber where Customer Names = 'Medline')) as percentage;",
"highest unit price refers to Max(Unit Price)",
"ratio can be calculated as DIVIDE(MAX(Unit_Cost)), MIN(Unit Cost);",
"products refers to Product Name; via wholesale channel refers to Sales Channel = 'Wholesale'"
]
} |
{
"query": "Which region has the most number of sales team?",
"pos": [
"the most number of sales team refers to MAX(COUNT(Sales Team));"
],
"neg": [
"orders refer to OrderNumber;",
"\"Chandler\" is the City Name; orders refers to OrderDate; in 2020 refers to Substr(OrderDate, -2) = '20'",
"number of order refers to OrderNumber; population of 3000000 to 4000000 refers to Population BETWEEN 3000000 AND 4000000",
"Cookware is the name of the product;",
"city has the largest population refers to City Name where MAX(Population);",
"product refers to Product Name; ordered the most in 2018 refers to MAX(COUNT(OrderNumber)) where SUBSTR(OrderDate, -2) = '18';",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); the greatest net profit in 2020 refers to MAX(net profit) where OrderDate LIKE '%/20';",
"highest discount applied refers to Max(Discount Applied)",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); highest median income city refers to City Name where MAX(Median Income);",
"\"Michigan\" is the State"
]
} |
{
"query": "List the ID, city, state and region for the store type which is fewer between borough and CDP.",
"pos": [
"COUNT(StoreID) < COUNT(StoreID where Type = 'Borough') < COUNT(StoreID where Type = 'CDP');"
],
"neg": [
"40% discount refers to Discount Applied = 0.4; in-store channel refers to Sales Channel = 'In-Store'; orders refer to OrderNumber;",
"In-Store sales refer to Sales Channel = 'In-Store'; city refers to City Name;",
"\"Weimei Corp\" is the Customer Names; in 2018, 2019 and 2020 refers to SUBSTR (OrderDate, -2) IN ('18', '19', '20') : Average order = Divide (Count (OrderNumber), 3)",
"total orders refer to COUNT(OrderNumber); 2020 refers to SUBSTR(OrderDate, -2) = '20';",
"average household income = Divide (Sum(Household Income), Count(City Name)); highest number of store refers to Max(Count(StoreID))",
"Cookware is the name of the product;",
"October 27, 2018 refers to ProcuredDate = '10/27/18'; 'Oregon' is the State",
"delivered in 2021 refer to DeliveryDate LIKE '%/21'; 'Sundial' is the Customer Names",
"type of store in City refers to Type = 'City'; highest amount of water area refers to Max(Water Area)",
"sale team names refer to Sales Team; the least orders in 2019 refer to MIN(COUNT(OrderNumber where SUBSTR(OrderDate, -2) = '19'));"
]
} |
{
"query": "Which sales team name has the least orders in 2019?",
"pos": [
"sale team names refer to Sales Team; the least orders in 2019 refer to MIN(COUNT(OrderNumber where SUBSTR(OrderDate, -2) = '19'));"
],
"neg": [
"Qualitest ordered the highest product quantity refers to Customer Names where MAX(Order Quantity);",
"DIVIDE(COUNT(OrderNumber where County = 'Orange County' and SUBSTR(OrderDate, -2) = '18'), COUNT(OrderNumber where SUBSTR(OrderDate, -2) = '18')) as percentage;",
"\"California\" is the name of State; in store refers to Sales Channel = 'In-Store'; 20% discount refers to Discount Applied = '0.2'",
"average household income = Divide (Sum(Household Income), Count(City Name)); highest number of store refers to Max(Count(StoreID))",
"the lowest unit price refers to MIN(Unit Price);",
"less need for products refers to Order Quantity = 1; purchased through a distributor refers to Sales Channel = 'Distributor'; 'Harri County' is the County",
"product refers to Product Name; ordered the most in 2018 refers to MAX(COUNT(OrderNumber)) where SUBSTR(OrderDate, -2) = '18';",
"\"Distributor\" is the Sales Channel; minimum quantity refers to Min(Order Quantity)",
"cities refer to City Name; no water area refers to Water Area = 0;",
"Medsep Group is the name of the customer; orders refer to OrderNumber;"
]
} |
{
"query": "What is the percentage of total orders from stores in Orange County in 2018?",
"pos": [
"DIVIDE(COUNT(OrderNumber where County = 'Orange County' and SUBSTR(OrderDate, -2) = '18'), COUNT(OrderNumber where SUBSTR(OrderDate, -2) = '18')) as percentage;"
],
"neg": [
"COUNT(OrderNumber where Product Name = 'Platters') > COUNT(OrderNumber where Product Name = 'Serveware');",
"Rochester Ltd is the name of the customer; orders refer to OrderNumber;",
"Ole Group is the name of the customer; discount levels applied refer to Discount Applied NOT NULL;",
"all the orders from WARE-NMK1003 refer to OrderNumber where WarehouseCode = 'WARE-NMK1003'; product refers to Product Name;",
"\"Brooklyn\" is the CityName; population of less than 3 million refers to Population < 3000000",
"total orders of over 3 in 2018 refer to COUNT(OrderNumber) > 3 where SUBSTR(OrderDate, -2) = '18';",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); Joshua Bennett is the name of Sales Team;",
"order refers to OrderDate; in 2020 refers to Substr(OrderDate, -2) = '20'; January refers to Substr(OrderDate, 1, 1) = '1'; most preferred sales channel refers to Sales Channel where Max(Count(OrderNumber))",
"average household income = Divide (Sum(Household Income), Count(City Name)); highest number of store refers to Max(Count(StoreID))",
"\"Elorac, Corp\" is the Customer Names"
]
} |
{
"query": "What is the highest discount applied by the store located in a city of the state of Colorado whose land area is 111039036.",
"pos": [
"highest discount applied refers to Max(Discount Applied)"
],
"neg": [
"\"Michigan\" is the State",
"COUNT(OrderNumber where Product Name = 'Platters') > COUNT(OrderNumber where Product Name = 'Serveware');",
"orders online refer to Sales Channel = 'Online';",
"ordered on 10/21/18 refers to OrderDate = '10/21/18'; delivered on 11/21/19 refers to DeliveryDate = '11/21/19'; name of product refers to Product Name",
"orders refer to OrderNumber; more than 5 product quantities refer to Order Quantity > 5;",
"October 27, 2018 refers to ProcuredDate = '10/27/18'; 'Oregon' is the State",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); Joshua Bennett is the name of Sales Team;",
"applied 10% discount refers to Discount Applied = 0.1;",
"Qualitest ordered the highest product quantity refers to Customer Names where MAX(Order Quantity);",
"\"Joshua Bennett\" is the name of Sales Team"
]
} |
{
"query": "Which product has the highest net profit in 2019?",
"pos": [
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); the highest net profit in 2019 refers to MAX(Net Profit) where OrderDate LIKE '%/19'; product refers to Product Name;"
],
"neg": [
"total orders refer to COUNT(OrderNumber); 2020 refers to SUBSTR(OrderDate, -2) = '20';",
"ratio can be calculated as DIVIDE(MAX(Unit_Cost)), MIN(Unit Cost);",
"orders refer to OrderNumber;",
"Rochester Ltd is the name of the customer; all the numbers ordered refer to OrderNumber; 2018 refers to SUBSTR(OrderDate, -2) = '18';",
"George Lewis refers to Sales Team; the highest number of orders refers to MAX(COUNT(OrderNumber)); which year from 2018 to 2020 refers to SUBSTR(OrderDate, -2) IN ('18', '19', '20') GROUP BY SUBSTR(OrderDate, -2);",
"type of store in City refers to Type = 'City'; highest amount of water area refers to Max(Water Area)",
"Qualitest ordered the highest product quantity refers to Customer Names where MAX(Order Quantity);",
"orders online refer to Sales Channel = 'Online';",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); AVG(net profit) where Product Name = 'Phones' and Sales Channel = 'Distributor';",
"order quantity of no less than 5 refers to Order Quantity > 5; shipped in the month of May 2019 refers to ShipDate LIKE '5/%/19'; lowest net profit = Min(Subtract(Unit Price, Unit Cost)); name of product refers to Products Name"
]
} |
{
"query": "List the order numbers and product names which were ordered on 6th June, 2018.",
"pos": [
"ordered on 6th June 2018 refers to OrderDate = '6/5/18'"
],
"neg": [
"\"Distributor\" is the Sales Channel; minimum quantity refers to Min(Order Quantity)",
"\"California\" is the name of State; in store refers to Sales Channel = 'In-Store'; 20% discount refers to Discount Applied = '0.2'",
"the lowest unit price refers to MIN(Unit Price);",
"highest unit price refers to Max(Unit Price)",
"In-Store sales refer to Sales Channel = 'In-Store'; city refers to City Name;",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); highest median income city refers to City Name where MAX(Median Income);",
"products refers to Product Name; via wholesale channel refers to Sales Channel = 'Wholesale'",
"shipped from Daly City refers to Store Locations where City Name = 'Daly City'; orders refer to OrderNumber;",
"detailed coordinates refers to Latitude, Longitude; highest net profit = Max(Subtract(Unit Price, Unit Cost))",
"\"Weimei Corp\" is the Customer Names; in 2018, 2019 and 2020 refers to SUBSTR (OrderDate, -2) IN ('18', '19', '20') : Average order = Divide (Count (OrderNumber), 3)"
]
} |
{
"query": "In 2020, what were the total orders of all stores in Maricopa County?",
"pos": [
"total orders refer to COUNT(OrderNumber); 2020 refers to SUBSTR(OrderDate, -2) = '20';"
],
"neg": [
"highest net profit refers to Max(Subtract(Unit Price, Unit Cost)); name of product refers to Product Name",
"\"Distributor\" is the Sales Channel; minimum quantity refers to Min(Order Quantity)",
"Sales Team = 'Stephen Payne'; net profit can be computed as SUBTRACT(Unit Price, Unit Cost); DIVIDE(COUNT(OrderNumber where Sales Team = 'Stephen Payne' and Net Profit > 1000)), (COUNT(OrderNumber where Sales Team = 'Stephen Payne')) as percentage;",
"type of store in City refers to Type = 'City'; highest amount of water area refers to Max(Water Area)",
"over 3800 USD in net profit refers to SUBTRACT(Unit Price, Unit Cost) where Net Profit > 3800;",
"\"Chandler\" is the City Name; orders refers to OrderDate; in 2020 refers to Substr(OrderDate, -2) = '20'",
"Latitude and Longitude coordinates can be used to identify the detailed position of stores; store refers to StoreID WHERE OrderNumber = 'SO - 000115';",
"\"Midwest\" is the Region",
"\"California\" is the name of State; in store refers to Sales Channel = 'In-Store'; 20% discount refers to Discount Applied = '0.2'",
"orders refer to OrderNumber; more than 5 product quantities refer to Order Quantity > 5;"
]
} |
{
"query": "Sate the order number and calculate the net profit for each order under Joshua Bennett.",
"pos": [
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); Joshua Bennett is the name of Sales Team;"
],
"neg": [
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); AVG(net profit) where Product Name = 'Bakeware';",
"40% discount refers to Discount Applied = 0.4; in-store channel refers to Sales Channel = 'In-Store'; orders refer to OrderNumber;",
"order quantity greater than 5 refers to Order Quantity > 5",
"highest discount applied refers to Max(Discount Applied)",
"Rochester Ltd is the name of the customer; all the numbers ordered refer to OrderNumber; 2018 refers to SUBSTR(OrderDate, -2) = '18';",
"total order quantity refers to Sum (Order Quantity); 'Candles' is the Products Name; percentage = Divide (Sum(Order Quantity where Product Name = 'Candles'), Sum(Order Quantity)) * 100",
"ordered on 10/21/18 refers to OrderDate = '10/21/18'; delivered on 11/21/19 refers to DeliveryDate = '11/21/19'; name of product refers to Product Name",
"average household income = Divide (Sum(Household Income), Count(City Name)); highest number of store refers to Max(Count(StoreID))",
"highest unit price refers to Max(Unit Price)",
"name of customer refers to Customer Names; from 2018 to 2020 refers to OrderDate between '1/1/2018' and '31/12/2020'; most number of order quantity refers to Order Quantity = 8"
]
} |
{
"query": "Provide order number, warehouse code of customers Elorac, Corp.",
"pos": [
"\"Elorac, Corp\" is the Customer Names"
],
"neg": [
"products refers to Product Name; via wholesale channel refers to Sales Channel = 'Wholesale'",
"\"Chandler\" is the City Name; orders refers to OrderDate; in 2020 refers to Substr(OrderDate, -2) = '20'",
"Sales Team = 'Stephen Payne'; net profit can be computed as SUBTRACT(Unit Price, Unit Cost); DIVIDE(COUNT(OrderNumber where Sales Team = 'Stephen Payne' and Net Profit > 1000)), (COUNT(OrderNumber where Sales Team = 'Stephen Payne')) as percentage;",
"George Lewis refers to Sales Team; the highest number of orders refers to MAX(COUNT(OrderNumber)); which year from 2018 to 2020 refers to SUBSTR(OrderDate, -2) IN ('18', '19', '20') GROUP BY SUBSTR(OrderDate, -2);",
"Cookware is the name of the product;",
"\"Joshua Bennett\" is the name of Sales Team",
"cities refer to City Name; no water area refers to Water Area = 0;",
"Latitude and Longitude coordinates can be used to identify the detailed position of stores; id refers to StoreID;",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); AVG(net profit) where Product Name = 'Phones' and Sales Channel = 'Distributor';",
"most populated refers to Max(Population);"
]
} |
{
"query": "In 2019, how many orders were shipped by the sales team with the highest number of orders in the said year? Provide the name of the sales team.",
"pos": [
"shipped refers to ShipDate; in 2019 refers to shipped in 2019 refers to SUBSTR(ShipDate, -2) = '19'; order in the said year refers to SUBSTR(OrderDate, -2) = '19'; highest number of order refers to Max(Count(OrderNumber))"
],
"neg": [
"DIVIDE(COUNT(OrderNumber where County = 'Orange County' and SUBSTR(OrderDate, -2) = '18'), COUNT(OrderNumber where SUBSTR(OrderDate, -2) = '18')) as percentage;",
"orders online refer to Sales Channel = 'Online';",
"city has the largest population refers to City Name where MAX(Population);",
"highest discount applied refers to Max(Discount Applied)",
"type of store in City refers to Type = 'City'; highest amount of water area refers to Max(Water Area)",
"Latitude and Longitude coordinates can be used to identify the detailed position of stores; store refers to StoreID WHERE OrderNumber = 'SO - 000115';",
"\"Distributor\" is the Sales Channel; minimum quantity refers to Min(Order Quantity)",
"Medline is the name of the customer; DIVIDE(COUNT(OrderNumber where Sales Channel = 'In-Store' and Customer Names = 'Medline'), COUNT(OrderNumber where Customer Names = 'Medline')) as percentage;",
"the most number of sales team refers to MAX(COUNT(Sales Team));",
"Qualitest ordered the highest product quantity refers to Customer Names where MAX(Order Quantity);"
]
} |
{
"query": "Compare the number of orders between \"Platters\" and \"Serveware\" products.",
"pos": [
"COUNT(OrderNumber where Product Name = 'Platters') > COUNT(OrderNumber where Product Name = 'Serveware');"
],
"neg": [
"orders refer to OrderNumber;",
"highest unit price refers to Max(Unit Price)",
"sales order 'SO - 0005951' refers to OrderNumber = 'SO - 0005951'; product refers to Product Name",
"\"Michigan\" is the State",
"floral product refers to Product Name = 'Floral'; total net profit = SUM(Subtract(Unit Price, Unit Cost)); delivered in 2021 refers to DeliveryDate LIKE '%/21'",
"most populated refers to Max(Population);",
"the highest unit price refers to MAX(Unit Price);",
"Ole Group is the name of the customer; discount levels applied refer to Discount Applied NOT NULL;",
"\"Arizona\" is the name of State; most net profit = Max(Subtract( Unit Price, Unit Cost))",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); Joshua Bennett is the name of Sales Team;"
]
} |
{
"query": "Which store in Arizona has the most net profit?",
"pos": [
"\"Arizona\" is the name of State; most net profit = Max(Subtract( Unit Price, Unit Cost))"
],
"neg": [
"delivered in 2021 refer to DeliveryDate LIKE '%/21'; 'Sundial' is the Customer Names",
"\"Apollo Ltd\" is the Customer Names; most expensive unit price refers to max(Unit Price)",
"sales order 'SO - 0005951' refers to OrderNumber = 'SO - 0005951'; product refers to Product Name",
"Medline is the name of the customer; DIVIDE(COUNT(OrderNumber where Sales Channel = 'In-Store' and Customer Names = 'Medline'), COUNT(OrderNumber where Customer Names = 'Medline')) as percentage;",
"DIVIDE(SUM(Order Quantity where Product Name = 'Ornaments' and OrderDate LIKE '%/18'), 12);",
"COUNT(StoreID) < COUNT(StoreID where Type = 'Borough') < COUNT(StoreID where Type = 'CDP');",
"in the South refers to Region = 'South'; type of store that is most popular refers to Max(Count(Type))",
"Qualitest ordered the highest product quantity refers to Customer Names where MAX(Order Quantity);",
"products with the ID of 30 to 40 refer to Product Name WHERE ProductID BETWEEN 30 AND 40;",
"detailed coordinates refers to Latitude, Longitude; highest net profit = Max(Subtract(Unit Price, Unit Cost))"
]
} |
{
"query": "Find the average number of ornaments sold each month in 2018.",
"pos": [
"DIVIDE(SUM(Order Quantity where Product Name = 'Ornaments' and OrderDate LIKE '%/18'), 12);"
],
"neg": [
"name containing the word 'Group' refers to Customer Names LIKE '%Group%';",
"COUNT(OrderNumber where Product Name = 'Platters') > COUNT(OrderNumber where Product Name = 'Serveware');",
"ordered on 6th June 2018 refers to OrderDate = '6/5/18'",
"floral product refers to Product Name = 'Floral'; total net profit = SUM(Subtract(Unit Price, Unit Cost)); delivered in 2021 refers to DeliveryDate LIKE '%/21'",
"\"Apollo Ltd\" is the Customer Names; most expensive unit price refers to max(Unit Price)",
"\"Midwest\" is the Region",
"the least sold product refers to Product Name where MIN(Order Quantity);",
"California is a state; CDP stores refer to StoreID where Type = 'CDP';",
"40% discount refers to Discount Applied = 0.4; in-store channel refers to Sales Channel = 'In-Store'; orders refer to OrderNumber;",
"average household income = Divide (Sum(Household Income), Count(City Name)); highest number of store refers to Max(Count(StoreID))"
]
} |
{
"query": "How many sales channels does the sales team have in the Midwest?",
"pos": [
"\"Midwest\" is the Region"
],
"neg": [
"\"Chandler\" is the City Name; orders refers to OrderDate; in 2020 refers to Substr(OrderDate, -2) = '20'",
"\"California\" is the name of State; in store refers to Sales Channel = 'In-Store'; 20% discount refers to Discount Applied = '0.2'",
"In-Store sales refer to Sales Channel = 'In-Store'; city refers to City Name;",
"highest unit price refers to Max(Unit Price)",
"the most number of sales team refers to MAX(COUNT(Sales Team));",
"\"Elorac, Corp\" is the Customer Names",
"Latitude and Longitude coordinates can be used to identify the detailed position of stores; store refers to StoreID WHERE OrderNumber = 'SO - 000115';",
"ratio can be calculated as DIVIDE(MAX(Unit_Cost)), MIN(Unit Cost);",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); AVG(net profit) where Product Name = 'Phones' and Sales Channel = 'Distributor';",
"orders online refer to Sales Channel = 'Online';"
]
} |
{
"query": "List the store located cities with regions in no water area of California state.",
"pos": [
"cities refer to City Name; no water area refers to Water Area = 0;"
],
"neg": [
"Ole Group is the name of the customer; discount levels applied refer to Discount Applied NOT NULL;",
"total orders of over 3 in 2018 refer to COUNT(OrderNumber) > 3 where SUBSTR(OrderDate, -2) = '18';",
"the least sold product refers to Product Name where MIN(Order Quantity);",
"\"Distributor\" is the Sales Channel; minimum quantity refers to Min(Order Quantity)",
"In-Store sales refer to Sales Channel = 'In-Store'; city refers to City Name;",
"the highest unit price refers to MAX(Unit Price);",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); highest median income city refers to City Name where MAX(Median Income);",
"highest unit price refers to Max(Unit Price)",
"order refers to OrderDate; in 2020 refers to Substr(OrderDate, -2) = '20'; January refers to Substr(OrderDate, 1, 1) = '1'; most preferred sales channel refers to Sales Channel where Max(Count(OrderNumber))",
"orders refer to OrderNumber;"
]
} |
{
"query": "In which regions are the stores that have shipped products through the WARE-UHY1004 warehouse?",
"pos": [
"\"WARE-UHY1004\" is the WarehouseCode"
],
"neg": [
"Rochester Ltd is the name of the customer; orders refer to OrderNumber;",
"name containing the word 'Group' refers to Customer Names LIKE '%Group%';",
"Sales Team = 'Stephen Payne'; net profit can be computed as SUBTRACT(Unit Price, Unit Cost); DIVIDE(COUNT(OrderNumber where Sales Team = 'Stephen Payne' and Net Profit > 1000)), (COUNT(OrderNumber where Sales Team = 'Stephen Payne')) as percentage;",
"most populous country refers to Max(Population)",
"orders refer to OrderNumber;",
"In-Store sales refer to Sales Channel = 'In-Store'; city refers to City Name;",
"COUNT(OrderNumber where Product Name = 'Platters') > COUNT(OrderNumber where Product Name = 'Serveware');",
"Latitude and Longitude coordinates can be used to identify the detailed position of stores; id refers to StoreID;",
"highest unit price refers to Max(Unit Price)",
"\"Michigan\" is the State"
]
} |
{
"query": "How many orders placed were with more than 5 product quantities?",
"pos": [
"orders refer to OrderNumber; more than 5 product quantities refer to Order Quantity > 5;"
],
"neg": [
"detailed coordinates refers to Latitude, Longitude; highest net profit = Max(Subtract(Unit Price, Unit Cost))",
"order quantity of no less than 5 refers to Order Quantity > 5; shipped in the month of May 2019 refers to ShipDate LIKE '5/%/19'; lowest net profit = Min(Subtract(Unit Price, Unit Cost)); name of product refers to Products Name",
"name containing the word 'Group' refers to Customer Names LIKE '%Group%';",
"\"Midwest\" is the Region",
"\"WARE-MKL1006\" is the WarehouseCode; most shipment to region refers to Max(Count(Region))",
"DIVIDE(SUM(Order Quantity where Product Name = 'Ornaments' and OrderDate LIKE '%/18'), 12);",
"Latitude and Longitude coordinates can be used to identify the detailed position of stores; store refers to StoreID WHERE OrderNumber = 'SO - 000115';",
"In-Store sales refer to Sales Channel = 'In-Store'; city refers to City Name;",
"cities refer to City Name; no water area refers to Water Area = 0;",
"the lowest unit price refers to MIN(Unit Price);"
]
} |
{
"query": "Which region is Joshua Bennet located in?",
"pos": [
"\"Joshua Bennett\" is the name of Sales Team"
],
"neg": [
"delivered in 2021 refer to DeliveryDate LIKE '%/21'; 'Sundial' is the Customer Names",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); the greatest net profit in 2020 refers to MAX(net profit) where OrderDate LIKE '%/20';",
"40% discount refers to Discount Applied = 0.4; in-store channel refers to Sales Channel = 'In-Store'; orders refer to OrderNumber;",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); Joshua Bennett is the name of Sales Team;",
"sale team names refer to Sales Team; the least orders in 2019 refer to MIN(COUNT(OrderNumber where SUBSTR(OrderDate, -2) = '19'));",
"Medline is the name of the customer; DIVIDE(COUNT(OrderNumber where Sales Channel = 'In-Store' and Customer Names = 'Medline'), COUNT(OrderNumber where Customer Names = 'Medline')) as percentage;",
"Latitude and Longitude coordinates can be used to identify the detailed position of stores; id refers to StoreID;",
"Product Name = 'Baseball'; December 2017 refers to OrderDate LIKE '12/%/17';",
"highest discount applied refers to Max(Discount Applied)",
"Latitude and Longitude coordinates can be used to identify the detailed position of stores; store refers to StoreID WHERE OrderNumber = 'SO - 000115';"
]
} |
{
"query": "Which Apollo Ltd customer's order number has the most expensive unit price, indicating the order date?",
"pos": [
"\"Apollo Ltd\" is the Customer Names; most expensive unit price refers to max(Unit Price)"
],
"neg": [
"the lowest unit price refers to MIN(Unit Price);",
"\"Arizona\" is the name of State; most net profit = Max(Subtract( Unit Price, Unit Cost))",
"order quantity greater than 5 refers to Order Quantity > 5",
"floral product refers to Product Name = 'Floral'; total net profit = SUM(Subtract(Unit Price, Unit Cost)); delivered in 2021 refers to DeliveryDate LIKE '%/21'",
"products with the ID of 30 to 40 refer to Product Name WHERE ProductID BETWEEN 30 AND 40;",
"Ole Group is the name of the customer; discount levels applied refer to Discount Applied NOT NULL;",
"orders refer to OrderNumber;",
"name of customer refers to Customer Names; from 2018 to 2020 refers to OrderDate between '1/1/2018' and '31/12/2020'; most number of order quantity refers to Order Quantity = 8",
"COUNT(StoreID) < COUNT(StoreID where Type = 'Borough') < COUNT(StoreID where Type = 'CDP');",
"name containing the word 'Group' refers to Customer Names LIKE '%Group%';"
]
} |
{
"query": "Please indicate store id in the state of California that have been applied 20% discount in store.",
"pos": [
"\"California\" is the name of State; in store refers to Sales Channel = 'In-Store'; 20% discount refers to Discount Applied = '0.2'"
],
"neg": [
"cities refer to City Name; no water area refers to Water Area = 0;",
"in the South refers to Region = 'South'; type of store that is most popular refers to Max(Count(Type))",
"delivered in 2021 refer to DeliveryDate LIKE '%/21'; 'Sundial' is the Customer Names",
"applied 10% discount refers to Discount Applied = 0.1;",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); AVG(net profit) where Product Name = 'Phones' and Sales Channel = 'Distributor';",
"Sales Team = 'Stephen Payne'; net profit can be computed as SUBTRACT(Unit Price, Unit Cost); DIVIDE(COUNT(OrderNumber where Sales Team = 'Stephen Payne' and Net Profit > 1000)), (COUNT(OrderNumber where Sales Team = 'Stephen Payne')) as percentage;",
"floral product refers to Product Name = 'Floral'; total net profit = SUM(Subtract(Unit Price, Unit Cost)); delivered in 2021 refers to DeliveryDate LIKE '%/21'",
"products with the ID of 30 to 40 refer to Product Name WHERE ProductID BETWEEN 30 AND 40;",
"total orders refer to COUNT(OrderNumber); 2020 refers to SUBSTR(OrderDate, -2) = '20';",
"average household income = Divide (Sum(Household Income), Count(City Name)); highest number of store refers to Max(Count(StoreID))"
]
} |
{
"query": "What is the average land area of the cities in which stores that purchased products for a unit price of 998.30 are located?",
"pos": [
"average land area = Divide (Sum(Land Area), Count(Land Area))"
],
"neg": [
"sales order 'SO - 0005951' refers to OrderNumber = 'SO - 0005951'; product refers to Product Name",
"\"California\" is the name of State; in store refers to Sales Channel = 'In-Store'; 20% discount refers to Discount Applied = '0.2'",
"all the orders from WARE-NMK1003 refer to OrderNumber where WarehouseCode = 'WARE-NMK1003'; product refers to Product Name;",
"floral product refers to Product Name = 'Floral'; total net profit = SUM(Subtract(Unit Price, Unit Cost)); delivered in 2021 refers to DeliveryDate LIKE '%/21'",
"highest unit price refers to Max(Unit Price)",
"product refers to Product Name; ordered the most in 2018 refers to MAX(COUNT(OrderNumber)) where SUBSTR(OrderDate, -2) = '18';",
"sale team names refer to Sales Team; the least orders in 2019 refer to MIN(COUNT(OrderNumber where SUBSTR(OrderDate, -2) = '19'));",
"most populous country refers to Max(Population)",
"AVG(Unit Price where Product Name = 'Cookware');",
"in the South refers to Region = 'South'; type of store that is most popular refers to Max(Count(Type))"
]
} |
{
"query": "List all the order numbers for In-Store sales and find the city where the store is located.",
"pos": [
"In-Store sales refer to Sales Channel = 'In-Store'; city refers to City Name;"
],
"neg": [
"Rochester Ltd is the name of the customer; all the numbers ordered refer to OrderNumber; 2018 refers to SUBSTR(OrderDate, -2) = '18';",
"in the South refers to Region = 'South'; type of store that is most popular refers to Max(Count(Type))",
"\"WARE-MKL1006\" is the WarehouseCode; most shipment to region refers to Max(Count(Region))",
"sales order on 04/04/2020 refers to OrderDate = '4/4/20'; 'New York' is the City Name; percentage = Divide (Sum(OrderNumber where City Name = 'New York'), Count (OrderNumber)) * 100",
"WARE-PUJ1005 is the WarehouseCode; fewest times refers to Min (Count(WarehouseCode))",
"orders refer to OrderNumber;",
"ordered on 6th June 2018 refers to OrderDate = '6/5/18'",
"floral product refers to Product Name = 'Floral'; total net profit = SUM(Subtract(Unit Price, Unit Cost)); delivered in 2021 refers to DeliveryDate LIKE '%/21'",
"the least sold product refers to Product Name where MIN(Order Quantity);",
"the highest unit price refers to MAX(Unit Price);"
]
} |
{
"query": "Find the net profit of the floral products which were delivered in 2021.",
"pos": [
"floral product refers to Product Name = 'Floral'; total net profit = SUM(Subtract(Unit Price, Unit Cost)); delivered in 2021 refers to DeliveryDate LIKE '%/21'"
],
"neg": [
"DIVIDE(SUM(Order Quantity where Product Name = 'Ornaments' and OrderDate LIKE '%/18'), 12);",
"October 27, 2018 refers to ProcuredDate = '10/27/18'; 'Oregon' is the State",
"all the orders from WARE-NMK1003 refer to OrderNumber where WarehouseCode = 'WARE-NMK1003'; product refers to Product Name;",
"\"Midwest\" is the Region",
"most populated refers to Max(Population);",
"detailed coordinates refers to Latitude, Longitude; highest net profit = Max(Subtract(Unit Price, Unit Cost))",
"George Lewis refers to Sales Team; the highest number of orders refers to MAX(COUNT(OrderNumber)); which year from 2018 to 2020 refers to SUBSTR(OrderDate, -2) IN ('18', '19', '20') GROUP BY SUBSTR(OrderDate, -2);",
"products with the ID of 30 to 40 refer to Product Name WHERE ProductID BETWEEN 30 AND 40;",
"sale team names refer to Sales Team; the least orders in 2019 refer to MIN(COUNT(OrderNumber where SUBSTR(OrderDate, -2) = '19'));",
"ratio can be calculated as DIVIDE(MAX(Unit_Cost)), MIN(Unit Cost);"
]
} |
{
"query": "Write down the store IDs and region of the state \"Michigan\".",
"pos": [
"\"Michigan\" is the State"
],
"neg": [
"DIVIDE(SUM(Order Quantity where Product Name = 'Ornaments' and OrderDate LIKE '%/18'), 12);",
"Rochester Ltd is the name of the customer; all the numbers ordered refer to OrderNumber; 2018 refers to SUBSTR(OrderDate, -2) = '18';",
"\"Arizona\" is the name of State; most net profit = Max(Subtract( Unit Price, Unit Cost))",
"ordered on 6th June 2018 refers to OrderDate = '6/5/18'",
"detailed coordinates refers to Latitude, Longitude; highest net profit = Max(Subtract(Unit Price, Unit Cost))",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); AVG(net profit) where Product Name = 'Bakeware';",
"most populated refers to Max(Population);",
"\"Weimei Corp\" is the Customer Names; in 2018, 2019 and 2020 refers to SUBSTR (OrderDate, -2) IN ('18', '19', '20') : Average order = Divide (Count (OrderNumber), 3)",
"Rochester Ltd is the name of the customer; orders refer to OrderNumber;",
"over 3800 USD in net profit refers to SUBTRACT(Unit Price, Unit Cost) where Net Profit > 3800;"
]
} |
{
"query": "What is the percentage of total orders of Stephen Payne that had a net profit of over 1000?",
"pos": [
"Sales Team = 'Stephen Payne'; net profit can be computed as SUBTRACT(Unit Price, Unit Cost); DIVIDE(COUNT(OrderNumber where Sales Team = 'Stephen Payne' and Net Profit > 1000)), (COUNT(OrderNumber where Sales Team = 'Stephen Payne')) as percentage;"
],
"neg": [
"the least sold product refers to Product Name where MIN(Order Quantity);",
"all the orders from WARE-NMK1003 refer to OrderNumber where WarehouseCode = 'WARE-NMK1003'; product refers to Product Name;",
"ordered on 6th June 2018 refers to OrderDate = '6/5/18'",
"highest unit price refers to Max(Unit Price)",
"unit cost greater than 4000USD refers to Unit Cost > 4000;",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); AVG(net profit) where Product Name = 'Bar Tools' and Order Quantity > 5;",
"Cookware is the name of the product;",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); AVG(net profit) where Product Name = 'Bakeware';",
"\"WARE-MKL1006\" is the WarehouseCode; most shipment to region refers to Max(Count(Region))",
"product refers to Product Name; ordered the most in 2018 refers to MAX(COUNT(OrderNumber)) where SUBSTR(OrderDate, -2) = '18';"
]
} |
{
"query": "List the name of the customer with the most number of order quantity from 2018 to 2020.",
"pos": [
"name of customer refers to Customer Names; from 2018 to 2020 refers to OrderDate between '1/1/2018' and '31/12/2020'; most number of order quantity refers to Order Quantity = 8"
],
"neg": [
"order refers to OrderDate; in 2020 refers to Substr(OrderDate, -2) = '20'; January refers to Substr(OrderDate, 1, 1) = '1'; most preferred sales channel refers to Sales Channel where Max(Count(OrderNumber))",
"\"Apollo Ltd\" is the Customer Names; most expensive unit price refers to max(Unit Price)",
"COUNT(OrderNumber where Product Name = 'Platters') > COUNT(OrderNumber where Product Name = 'Serveware');",
"Product Name = 'Baseball'; December 2017 refers to OrderDate LIKE '12/%/17';",
"WARE-PUJ1005 is the WarehouseCode; fewest times refers to Min (Count(WarehouseCode))",
"Rochester Ltd is the name of the customer; orders refer to OrderNumber;",
"highest net profit refers to Max(Subtract(Unit Price, Unit Cost)); name of product refers to Product Name",
"sales order on 04/04/2020 refers to OrderDate = '4/4/20'; 'New York' is the City Name; percentage = Divide (Sum(OrderNumber where City Name = 'New York'), Count (OrderNumber)) * 100",
"\"Midwest\" is the Region",
"\"Michigan\" is the State"
]
} |
{
"query": "How many orders that Medsep Group had made?",
"pos": [
"Medsep Group is the name of the customer; orders refer to OrderNumber;"
],
"neg": [
"Product Name = 'Baseball'; December 2017 refers to OrderDate LIKE '12/%/17';",
"\"Midwest\" is the Region",
"less need for products refers to Order Quantity = 1; purchased through a distributor refers to Sales Channel = 'Distributor'; 'Harri County' is the County",
"in the South refers to Region = 'South'; type of store that is most popular refers to Max(Count(Type))",
"the highest unit price refers to MAX(Unit Price);",
"applied 10% discount refers to Discount Applied = 0.1;",
"total order quantity refers to Sum (Order Quantity); 'Candles' is the Products Name; percentage = Divide (Sum(Order Quantity where Product Name = 'Candles'), Sum(Order Quantity)) * 100",
"highest discount applied refers to Max(Discount Applied)",
"\"Brooklyn\" is the CityName; population of less than 3 million refers to Population < 3000000",
"AVG(Unit Price where Product Name = 'Cookware');"
]
} |
{
"query": "Calculate ratio between the highest unit cost and the lowest unit cost?",
"pos": [
"ratio can be calculated as DIVIDE(MAX(Unit_Cost)), MIN(Unit Cost);"
],
"neg": [
"applied 10% discount refers to Discount Applied = 0.1;",
"name containing the word 'Group' refers to Customer Names LIKE '%Group%';",
"\"Arizona\" is the name of State; most net profit = Max(Subtract( Unit Price, Unit Cost))",
"George Lewis refers to Sales Team; the highest number of orders refers to MAX(COUNT(OrderNumber)); which year from 2018 to 2020 refers to SUBSTR(OrderDate, -2) IN ('18', '19', '20') GROUP BY SUBSTR(OrderDate, -2);",
"highest discount applied refers to Max(Discount Applied)",
"most populated refers to Max(Population);",
"DIVIDE(SUM(Order Quantity where Product Name = 'Ornaments' and OrderDate LIKE '%/18'), 12);",
"\"Apollo Ltd\" is the Customer Names; most expensive unit price refers to max(Unit Price)",
"Medsep Group is the name of the customer; orders refer to OrderNumber;",
"total orders refer to COUNT(OrderNumber); 2020 refers to SUBSTR(OrderDate, -2) = '20';"
]
} |
{
"query": "List all the customers with name containing the word 'Group'.",
"pos": [
"name containing the word 'Group' refers to Customer Names LIKE '%Group%';"
],
"neg": [
"total orders refer to COUNT(OrderNumber); 2020 refers to SUBSTR(OrderDate, -2) = '20';",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); AVG(net profit) where Product Name = 'Phones' and Sales Channel = 'Distributor';",
"Latitude and Longitude coordinates can be used to identify the detailed position of stores; store refers to StoreID WHERE OrderNumber = 'SO - 000115';",
"sale team names refer to Sales Team; the least orders in 2019 refer to MIN(COUNT(OrderNumber where SUBSTR(OrderDate, -2) = '19'));",
"\"Weimei Corp\" is the Customer Names; in 2018, 2019 and 2020 refers to SUBSTR (OrderDate, -2) IN ('18', '19', '20') : Average order = Divide (Count (OrderNumber), 3)",
"products refers to Product Name; via wholesale channel refers to Sales Channel = 'Wholesale'",
"total order quantity refers to Sum (Order Quantity); 'Candles' is the Products Name; percentage = Divide (Sum(Order Quantity where Product Name = 'Candles'), Sum(Order Quantity)) * 100",
"AVG(Unit Price where Product Name = 'Cookware');",
"Ole Group is the name of the customer; discount levels applied refer to Discount Applied NOT NULL;",
"highest net profit = Max(Subtract (Unit Price, Unit Cost)); name of product refers to Product Name"
]
} |
{
"query": "Write down the region and name of the sale team ID of 18 and compare their orders between in-store and online.",
"pos": [
"sale team ID of 18 refers to _SalesTeamID = 18; COUNT(OrderNumber where Sales Channel = 'In-Store') > COUNT(OrderNumber where Sales Channel = 'Online');"
],
"neg": [
"ordered on 6th June 2018 refers to OrderDate = '6/5/18'",
"the highest unit price refers to MAX(Unit Price);",
"Latitude and Longitude coordinates can be used to identify the detailed position of stores; id refers to StoreID;",
"name of customer refers to Customer Names; from 2018 to 2020 refers to OrderDate between '1/1/2018' and '31/12/2020'; most number of order quantity refers to Order Quantity = 8",
"the most number of sales team refers to MAX(COUNT(Sales Team));",
"total order quantity refers to Sum (Order Quantity); 'Candles' is the Products Name; percentage = Divide (Sum(Order Quantity where Product Name = 'Candles'), Sum(Order Quantity)) * 100",
"in the South refers to Region = 'South'; type of store that is most popular refers to Max(Count(Type))",
"products refers to Product Name; via wholesale channel refers to Sales Channel = 'Wholesale'",
"DIVIDE(COUNT(OrderNumber where County = 'Orange County' and SUBSTR(OrderDate, -2) = '18'), COUNT(OrderNumber where SUBSTR(OrderDate, -2) = '18')) as percentage;",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); the greatest net profit in 2020 refers to MAX(net profit) where OrderDate LIKE '%/20';"
]
} |
{
"query": "Name the product that was registered in the sales order 'SO - 0005951'.",
"pos": [
"sales order 'SO - 0005951' refers to OrderNumber = 'SO - 0005951'; product refers to Product Name"
],
"neg": [
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); AVG(net profit) where Product Name = 'Bar Tools' and Order Quantity > 5;",
"DIVIDE(SUM(Order Quantity where Product Name = 'Ornaments' and OrderDate LIKE '%/18'), 12);",
"ordered on 6th June 2018 refers to OrderDate = '6/5/18'",
"WARE-PUJ1005 is the WarehouseCode; fewest times refers to Min (Count(WarehouseCode))",
"shipped from Daly City refers to Store Locations where City Name = 'Daly City'; orders refer to OrderNumber;",
"Latitude and Longitude coordinates can be used to identify the detailed position of stores; store refers to StoreID WHERE OrderNumber = 'SO - 000115';",
"highest net profit refers to Max(Subtract(Unit Price, Unit Cost)); name of product refers to Product Name",
"\"Apollo Ltd\" is the Customer Names; most expensive unit price refers to max(Unit Price)",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); Joshua Bennett is the name of Sales Team;",
"Medline is the name of the customer; DIVIDE(COUNT(OrderNumber where Sales Channel = 'In-Store' and Customer Names = 'Medline'), COUNT(OrderNumber where Customer Names = 'Medline')) as percentage;"
]
} |
{
"query": "In the Northeast region, what is the average household income for each city located in the state with the highest number of stores?",
"pos": [
"average household income = Divide (Sum(Household Income), Count(City Name)); highest number of store refers to Max(Count(StoreID))"
],
"neg": [
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); AVG(net profit) where Product Name = 'Bakeware';",
"the highest unit price refers to MAX(Unit Price);",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); highest median income city refers to City Name where MAX(Median Income);",
"cities refer to City Name; no water area refers to Water Area = 0;",
"highest unit price refers to Max(Unit Price)",
"average land area = Divide (Sum(Land Area), Count(Land Area))",
"less need for products refers to Order Quantity = 1; purchased through a distributor refers to Sales Channel = 'Distributor'; 'Harri County' is the County",
"detailed coordinates refers to Latitude, Longitude; highest net profit = Max(Subtract(Unit Price, Unit Cost))",
"Medsep Group is the name of the customer; orders refer to OrderNumber;",
"ordered on 6th June 2018 refers to OrderDate = '6/5/18'"
]
} |
{
"query": "What is the average unit price of a Cookware product?",
"pos": [
"AVG(Unit Price where Product Name = 'Cookware');"
],
"neg": [
"\"Arizona\" is the name of State; most net profit = Max(Subtract( Unit Price, Unit Cost))",
"most populated refers to Max(Population);",
"total orders refer to COUNT(OrderNumber); 2020 refers to SUBSTR(OrderDate, -2) = '20';",
"WARE-PUJ1005 is the WarehouseCode; fewest times refers to Min (Count(WarehouseCode))",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); highest median income city refers to City Name where MAX(Median Income);",
"order quantity of no less than 5 refers to Order Quantity > 5; shipped in the month of May 2019 refers to ShipDate LIKE '5/%/19'; lowest net profit = Min(Subtract(Unit Price, Unit Cost)); name of product refers to Products Name",
"city has the largest population refers to City Name where MAX(Population);",
"delivered in 2021 refer to DeliveryDate LIKE '%/21'; 'Sundial' is the Customer Names",
"type of store in City refers to Type = 'City'; highest amount of water area refers to Max(Water Area)",
"the highest unit price refers to MAX(Unit Price);"
]
} |
{
"query": "How many orders through distributor were for the minimum quantity?",
"pos": [
"\"Distributor\" is the Sales Channel; minimum quantity refers to Min(Order Quantity)"
],
"neg": [
"COUNT(StoreID) < COUNT(StoreID where Type = 'Borough') < COUNT(StoreID where Type = 'CDP');",
"Ole Group is the name of the customer; discount levels applied refer to Discount Applied NOT NULL;",
"\"California\" is the name of State; in store refers to Sales Channel = 'In-Store'; 20% discount refers to Discount Applied = '0.2'",
"floral product refers to Product Name = 'Floral'; total net profit = SUM(Subtract(Unit Price, Unit Cost)); delivered in 2021 refers to DeliveryDate LIKE '%/21'",
"sales order on 04/04/2020 refers to OrderDate = '4/4/20'; 'New York' is the City Name; percentage = Divide (Sum(OrderNumber where City Name = 'New York'), Count (OrderNumber)) * 100",
"Rochester Ltd is the name of the customer; all the numbers ordered refer to OrderNumber; 2018 refers to SUBSTR(OrderDate, -2) = '18';",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); AVG(net profit) where Product Name = 'Bakeware';",
"Latitude and Longitude coordinates can be used to identify the detailed position of stores; store refers to StoreID WHERE OrderNumber = 'SO - 000115';",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); highest median income city refers to City Name where MAX(Median Income);",
"AVG(Unit Price where Product Name = 'Cookware');"
]
} |
{
"query": "Provide all the orders from WARE-NMK1003. Name the product and sales team for each of these order.",
"pos": [
"all the orders from WARE-NMK1003 refer to OrderNumber where WarehouseCode = 'WARE-NMK1003'; product refers to Product Name;"
],
"neg": [
"October 27, 2018 refers to ProcuredDate = '10/27/18'; 'Oregon' is the State",
"cities refer to City Name; no water area refers to Water Area = 0;",
"name of customer refers to Customer Names; from 2018 to 2020 refers to OrderDate between '1/1/2018' and '31/12/2020'; most number of order quantity refers to Order Quantity = 8",
"\"Brooklyn\" is the CityName; population of less than 3 million refers to Population < 3000000",
"highest net profit refers to Max(Subtract(Unit Price, Unit Cost)); name of product refers to Product Name",
"\"Arizona\" is the name of State; most net profit = Max(Subtract( Unit Price, Unit Cost))",
"delivered in 2021 refer to DeliveryDate LIKE '%/21'; 'Sundial' is the Customer Names",
"less need for products refers to Order Quantity = 1; purchased through a distributor refers to Sales Channel = 'Distributor'; 'Harri County' is the County",
"ratio can be calculated as DIVIDE(MAX(Unit_Cost)), MIN(Unit Cost);",
"most populated refers to Max(Population);"
]
} |
{
"query": "List the name of all customers who had made orders online.",
"pos": [
"orders online refer to Sales Channel = 'Online';"
],
"neg": [
"\"Weimei Corp\" is the Customer Names; in 2018, 2019 and 2020 refers to SUBSTR (OrderDate, -2) IN ('18', '19', '20') : Average order = Divide (Count (OrderNumber), 3)",
"Latitude and Longitude coordinates can be used to identify the detailed position of stores; store refers to StoreID WHERE OrderNumber = 'SO - 000115';",
"city has the largest population refers to City Name where MAX(Population);",
"net profit can be computed as SUBTRACT(Unit Price, Unit Cost); AVG(net profit) where Product Name = 'Bar Tools' and Order Quantity > 5;",
"ordered on 6th June 2018 refers to OrderDate = '6/5/18'",
"most populated refers to Max(Population);",
"products refers to Product Name; via wholesale channel refers to Sales Channel = 'Wholesale'",
"Qualitest ordered the highest product quantity refers to Customer Names where MAX(Order Quantity);",
"total order quantity refers to Sum (Order Quantity); 'Candles' is the Products Name; percentage = Divide (Sum(Order Quantity where Product Name = 'Candles'), Sum(Order Quantity)) * 100",
"number of order refers to OrderNumber; population of 3000000 to 4000000 refers to Population BETWEEN 3000000 AND 4000000"
]
} |
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