QIAN-ME/bird_schema_data huggingface dataset:
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 food_inspection_2
【Schema】
# Table: violation
[
(inspection_id:INTEGER, Primary Key, Examples: [44247, 44248, 44249]),
(point_id:INTEGER, Primary Key, Examples: [30, 32, 33]),
(fine:INTEGER, Examples: [100, 0, 500]),
(inspector_comment:TEXT)
]
# Table: employee
[
(employee_id:INTEGER, Primary Key, Examples: [103705, 104633, 106581]),
(first_name:TEXT, Examples: [Anastasia, Joshua, Zach]),
(last_name:TEXT, Examples: [Hansen, Rosa, Barber]),
(address:TEXT, Examples: [6023 S Elizabeth St, 5000 N Wolcott Ave, 7522 N Oleander Ave]),
(city:TEXT, Examples: [Chicago, Park Forest, Hoffman Estates]),
(state:TEXT, Examples: [IL]),
(zip:INTEGER, Examples: [60636, 60640, 60631]),
(phone:TEXT, Examples: [(773) 424-8729, (773) 293-6409, (219) 473-0757]),
(title:TEXT, Examples: [Sanitarian, Supervisor, Division Manager]),
(salary:INTEGER, Examples: [79300, 82000, 79900]),
(supervisor:INTEGER, Examples: [177316, 186742, 179582])
]
# Table: inspection
[
(inspection_id:INTEGER, Primary Key, Examples: [44247, 44248, 44249]),
(inspection_date:DATE, Examples: [2010-01-05]),
(inspection_type:TEXT, Examples: [Complaint]),
(results:TEXT, Examples: [Pass, Pass w/ Conditions, Fail]),
(employee_id:INTEGER, Examples: [141319, 143902, 143487]),
(license_no:INTEGER, Examples: [1222441, 1336561, 1334073]),
(followup_to:INTEGER, Examples: [67871, 248210, 233215])
]
# Table: establishment
[
(license_no:INTEGER, Primary Key, Examples: [1, 2, 9]),
(dba_name:TEXT, Examples: [HARVEST CRUSADES MINISTRIES]),
(aka_name:TEXT, Examples: [COSI]),
(facility_type:TEXT, Examples: [Special Event, Restaurant, TAVERN]),
(risk_level:INTEGER, Examples: [2, 1, 3]),
(address:TEXT, Examples: [118 N CENTRAL AVE , 230 W MONROE ST , 116 S MICHIGAN AVE ]),
(city:TEXT, Examples: [CHICAGO, Chicago, chicago]),
(state:TEXT, Examples: [IL]),
(zip:INTEGER, Examples: [60644, 60606, 60603]),
(latitude:REAL, Examples: [41.8828450747188, 41.8807571586472, 41.8803958382596]),
(longitude:REAL, Examples: [-87.7650954520439, -87.6347092983425, -87.6245017215946]),
(ward:INTEGER, Examples: [29, 42, 18])
]
# Table: inspection_point
[
(point_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Description:TEXT),
(category:TEXT, Examples: [Food Protection]),
(code:TEXT, Examples: [7-38-005 (B) (B-2), 7-38-005 (A), 7-38-010 (A) (B)]),
(fine:INTEGER, Examples: [500, 250, 100]),
(point_level:TEXT, Examples: [Critical, Serious , Minor   ])
]
【Foreign keys】
violation.inspection_id=inspection.inspection_id
violation.point_id=inspection_point.point_id
employee.supervisor=employee.employee_id
inspection.employee_id=employee.employee_id
inspection.license_no=establishment.license_no
inspection.followup_to=inspection.inspection_id

    【Question】
    How much salary does Jessica Anthony receive?

    【Evidence】
    

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT salary FROM employee WHERE first_name = 'Jessica' AND last_name = 'Anthony'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 coinmarketcap
【Schema】
# Table: coins
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [Bitcoin, Litecoin, Namecoin]),
(slug:TEXT, Examples: [bitcoin, litecoin, namecoin]),
(symbol:TEXT, Examples: [BTC, LTC, NMC]),
(status:TEXT, Examples: [active, untracked, inactive]),
(category:TEXT, Examples: [coin, token]),
(description:TEXT),
(subreddit:TEXT, Examples: [bitcoin, litecoin, namecoin]),
(notice:TEXT),
(tags:TEXT),
(tag_names:TEXT),
(website:TEXT),
(platform_id:INTEGER, Examples: [1027, 1765, 1376]),
(date_added:TEXT, Examples: [2013-04-28T00:00:00.000Z]),
(date_launched:TEXT, Examples: [2018-01-16T00:00:00.000Z])
]
# Table: historical
[
(date:DATE, Examples: [2013-04-28]),
(coin_id:INTEGER, Examples: [1, 2, 5]),
(cmc_rank:INTEGER, Examples: [1, 2, 3]),
(market_cap:REAL, Examples: [1488566971.9558687, 74637021.56790735, 7250186.647688276]),
(price:REAL, Examples: [134.210021972656, 4.34840488433838, 0.386524856090546]),
(open:REAL, Examples: [134.44400024414062, 4.366759777069092, 0.3871999979019165]),
(high:REAL, Examples: [147.48800659179688, 4.573599815368652, 0.4247649908065796]),
(low:REAL, Examples: [134.0, 4.225639820098877, 0.37790799140930176]),
(close:REAL, Examples: [144.5399932861328, 4.383900165557861, 0.4088610112667084]),
(time_high:TEXT, Examples: [13:15:01, 13:15:03, 12:45:02]),
(time_low:TEXT, Examples: [05:20:01, 19:25:02, 04:05:04]),
(volume_24h:REAL, Examples: [0.0, 46862728.0, 31112234.0]),
(percent_change_1h:REAL, Examples: [0.639231, 0.799273, -0.934763]),
(percent_change_24h:REAL, Examples: [7.63553, 0.920718, 18.558]),
(percent_change_7d:REAL, Examples: [-13.809, -16.7201, 1.64395]),
(circulating_supply:REAL, Examples: [11091325.0, 17164230.0, 18757362.0]),
(total_supply:REAL, Examples: [11091325.0, 17164230.0, 18757362.0]),
(max_supply:REAL, Examples: [21000000.0, 84000000.0, 42000000.0]),
(num_market_pairs:INTEGER, Examples: [7050, 5146, 382])
]

    【Question】
    Name the coin that has the highest market capitalization for all transactions in 2018. highest market capitalization refers to max(market_cap); in 2018 refers to year(date) = 2018

    【Evidence】
    highest market capitalization refers to max(market_cap); in 2018 refers to year(date) = 2018

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T1.name FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date LIKE '2018%' AND T2.market_cap = ( SELECT MAX(market_cap) FROM historical WHERE STRFTIME('%Y', date) = '2018' )
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 coinmarketcap
【Schema】
# Table: coins
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [Bitcoin, Litecoin, Namecoin]),
(slug:TEXT, Examples: [bitcoin, litecoin, namecoin]),
(symbol:TEXT, Examples: [BTC, LTC, NMC]),
(status:TEXT, Examples: [active, untracked, inactive]),
(category:TEXT, Examples: [coin, token]),
(description:TEXT),
(subreddit:TEXT, Examples: [bitcoin, litecoin, namecoin]),
(notice:TEXT),
(tags:TEXT),
(tag_names:TEXT),
(website:TEXT),
(platform_id:INTEGER, Examples: [1027, 1765, 1376]),
(date_added:TEXT, Examples: [2013-04-28T00:00:00.000Z]),
(date_launched:TEXT, Examples: [2018-01-16T00:00:00.000Z])
]
# Table: historical
[
(date:DATE, Examples: [2013-04-28]),
(coin_id:INTEGER, Examples: [1, 2, 5]),
(cmc_rank:INTEGER, Examples: [1, 2, 3]),
(market_cap:REAL, Examples: [1488566971.9558687, 74637021.56790735, 7250186.647688276]),
(price:REAL, Examples: [134.210021972656, 4.34840488433838, 0.386524856090546]),
(open:REAL, Examples: [134.44400024414062, 4.366759777069092, 0.3871999979019165]),
(high:REAL, Examples: [147.48800659179688, 4.573599815368652, 0.4247649908065796]),
(low:REAL, Examples: [134.0, 4.225639820098877, 0.37790799140930176]),
(close:REAL, Examples: [144.5399932861328, 4.383900165557861, 0.4088610112667084]),
(time_high:TEXT, Examples: [13:15:01, 13:15:03, 12:45:02]),
(time_low:TEXT, Examples: [05:20:01, 19:25:02, 04:05:04]),
(volume_24h:REAL, Examples: [0.0, 46862728.0, 31112234.0]),
(percent_change_1h:REAL, Examples: [0.639231, 0.799273, -0.934763]),
(percent_change_24h:REAL, Examples: [7.63553, 0.920718, 18.558]),
(percent_change_7d:REAL, Examples: [-13.809, -16.7201, 1.64395]),
(circulating_supply:REAL, Examples: [11091325.0, 17164230.0, 18757362.0]),
(total_supply:REAL, Examples: [11091325.0, 17164230.0, 18757362.0]),
(max_supply:REAL, Examples: [21000000.0, 84000000.0, 42000000.0]),
(num_market_pairs:INTEGER, Examples: [7050, 5146, 382])
]

    【Question】
    What is the total value of Argentum coined traded in the past 24 hours on 2016/10/11. total value in the past 24 hours refers to volume_24h; on 11/10/16 refers to date = '2016-11-10'

    【Evidence】
    total value in the past 24 hours refers to volume_24h; on 11/10/16 refers to date = '2016-11-10'

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T2.volume_24h FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'Argentum' AND T2.date = '2016-10-11'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 coinmarketcap
【Schema】
# Table: coins
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [Bitcoin, Litecoin, Namecoin]),
(slug:TEXT, Examples: [bitcoin, litecoin, namecoin]),
(symbol:TEXT, Examples: [BTC, LTC, NMC]),
(status:TEXT, Examples: [active, untracked, inactive]),
(category:TEXT, Examples: [coin, token]),
(description:TEXT),
(subreddit:TEXT, Examples: [bitcoin, litecoin, namecoin]),
(notice:TEXT),
(tags:TEXT),
(tag_names:TEXT),
(website:TEXT),
(platform_id:INTEGER, Examples: [1027, 1765, 1376]),
(date_added:TEXT, Examples: [2013-04-28T00:00:00.000Z]),
(date_launched:TEXT, Examples: [2018-01-16T00:00:00.000Z])
]
# Table: historical
[
(date:DATE, Examples: [2013-04-28]),
(coin_id:INTEGER, Examples: [1, 2, 5]),
(cmc_rank:INTEGER, Examples: [1, 2, 3]),
(market_cap:REAL, Examples: [1488566971.9558687, 74637021.56790735, 7250186.647688276]),
(price:REAL, Examples: [134.210021972656, 4.34840488433838, 0.386524856090546]),
(open:REAL, Examples: [134.44400024414062, 4.366759777069092, 0.3871999979019165]),
(high:REAL, Examples: [147.48800659179688, 4.573599815368652, 0.4247649908065796]),
(low:REAL, Examples: [134.0, 4.225639820098877, 0.37790799140930176]),
(close:REAL, Examples: [144.5399932861328, 4.383900165557861, 0.4088610112667084]),
(time_high:TEXT, Examples: [13:15:01, 13:15:03, 12:45:02]),
(time_low:TEXT, Examples: [05:20:01, 19:25:02, 04:05:04]),
(volume_24h:REAL, Examples: [0.0, 46862728.0, 31112234.0]),
(percent_change_1h:REAL, Examples: [0.639231, 0.799273, -0.934763]),
(percent_change_24h:REAL, Examples: [7.63553, 0.920718, 18.558]),
(percent_change_7d:REAL, Examples: [-13.809, -16.7201, 1.64395]),
(circulating_supply:REAL, Examples: [11091325.0, 17164230.0, 18757362.0]),
(total_supply:REAL, Examples: [11091325.0, 17164230.0, 18757362.0]),
(max_supply:REAL, Examples: [21000000.0, 84000000.0, 42000000.0]),
(num_market_pairs:INTEGER, Examples: [7050, 5146, 382])
]

    【Question】
    List the price for Zetacoin on 13/11/1 and the next 7 consecutive days. What is the average price for these 7 days? on 1/11/13 and the next 7 consecutive days refers to DATE BETWEEN '2013-11-01' AND '2013-11-07'; average price refers to AVG(price); Zetacoin refers to name = 'Zetacoin'

    【Evidence】
    on 1/11/13 and the next 7 consecutive days refers to DATE BETWEEN '2013-11-01' AND '2013-11-07'; average price refers to AVG(price); Zetacoin refers to name = 'Zetacoin'

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T2.price FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'Zetacoin' AND T2.date BETWEEN '2013-11-01' AND '2013-11-07' UNION ALL SELECT AVG(T2.PRICE) FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'Zetacoin' AND T2.date BETWEEN '2013-11-01' AND '2013-11-07'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 coinmarketcap
【Schema】
# Table: coins
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [Bitcoin, Litecoin, Namecoin]),
(slug:TEXT, Examples: [bitcoin, litecoin, namecoin]),
(symbol:TEXT, Examples: [BTC, LTC, NMC]),
(status:TEXT, Examples: [active, untracked, inactive]),
(category:TEXT, Examples: [coin, token]),
(description:TEXT),
(subreddit:TEXT, Examples: [bitcoin, litecoin, namecoin]),
(notice:TEXT),
(tags:TEXT),
(tag_names:TEXT),
(website:TEXT),
(platform_id:INTEGER, Examples: [1027, 1765, 1376]),
(date_added:TEXT, Examples: [2013-04-28T00:00:00.000Z]),
(date_launched:TEXT, Examples: [2018-01-16T00:00:00.000Z])
]
# Table: historical
[
(date:DATE, Examples: [2013-04-28]),
(coin_id:INTEGER, Examples: [1, 2, 5]),
(cmc_rank:INTEGER, Examples: [1, 2, 3]),
(market_cap:REAL, Examples: [1488566971.9558687, 74637021.56790735, 7250186.647688276]),
(price:REAL, Examples: [134.210021972656, 4.34840488433838, 0.386524856090546]),
(open:REAL, Examples: [134.44400024414062, 4.366759777069092, 0.3871999979019165]),
(high:REAL, Examples: [147.48800659179688, 4.573599815368652, 0.4247649908065796]),
(low:REAL, Examples: [134.0, 4.225639820098877, 0.37790799140930176]),
(close:REAL, Examples: [144.5399932861328, 4.383900165557861, 0.4088610112667084]),
(time_high:TEXT, Examples: [13:15:01, 13:15:03, 12:45:02]),
(time_low:TEXT, Examples: [05:20:01, 19:25:02, 04:05:04]),
(volume_24h:REAL, Examples: [0.0, 46862728.0, 31112234.0]),
(percent_change_1h:REAL, Examples: [0.639231, 0.799273, -0.934763]),
(percent_change_24h:REAL, Examples: [7.63553, 0.920718, 18.558]),
(percent_change_7d:REAL, Examples: [-13.809, -16.7201, 1.64395]),
(circulating_supply:REAL, Examples: [11091325.0, 17164230.0, 18757362.0]),
(total_supply:REAL, Examples: [11091325.0, 17164230.0, 18757362.0]),
(max_supply:REAL, Examples: [21000000.0, 84000000.0, 42000000.0]),
(num_market_pairs:INTEGER, Examples: [7050, 5146, 382])
]

    【Question】
    For all transactions for WRAP in August 2016, list the time to achieve highest price and the time to achieve the lowest price. in May 2013 refers to month(date) = 5 AND year(date) = 2013; time to achieve the highest price refers to time_high; time to achieve the lowest price refers to time_low; WRAP refers to name = 'WARP'

    【Evidence】
    in May 2013 refers to month(date) = 5 AND year(date) = 2013; time to achieve the highest price refers to time_high; time to achieve the lowest price refers to time_low; WRAP refers to name = 'WARP'

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T2.time_high, T2.time_low, T2.date FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'WARP' AND STRFTIME('%Y-%m', T2.date) = '2016-08'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 coinmarketcap
【Schema】
# Table: coins
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [Bitcoin, Litecoin, Namecoin]),
(slug:TEXT, Examples: [bitcoin, litecoin, namecoin]),
(symbol:TEXT, Examples: [BTC, LTC, NMC]),
(status:TEXT, Examples: [active, untracked, inactive]),
(category:TEXT, Examples: [coin, token]),
(description:TEXT),
(subreddit:TEXT, Examples: [bitcoin, litecoin, namecoin]),
(notice:TEXT),
(tags:TEXT),
(tag_names:TEXT),
(website:TEXT),
(platform_id:INTEGER, Examples: [1027, 1765, 1376]),
(date_added:TEXT, Examples: [2013-04-28T00:00:00.000Z]),
(date_launched:TEXT, Examples: [2018-01-16T00:00:00.000Z])
]
# Table: historical
[
(date:DATE, Examples: [2013-04-28]),
(coin_id:INTEGER, Examples: [1, 2, 5]),
(cmc_rank:INTEGER, Examples: [1, 2, 3]),
(market_cap:REAL, Examples: [1488566971.9558687, 74637021.56790735, 7250186.647688276]),
(price:REAL, Examples: [134.210021972656, 4.34840488433838, 0.386524856090546]),
(open:REAL, Examples: [134.44400024414062, 4.366759777069092, 0.3871999979019165]),
(high:REAL, Examples: [147.48800659179688, 4.573599815368652, 0.4247649908065796]),
(low:REAL, Examples: [134.0, 4.225639820098877, 0.37790799140930176]),
(close:REAL, Examples: [144.5399932861328, 4.383900165557861, 0.4088610112667084]),
(time_high:TEXT, Examples: [13:15:01, 13:15:03, 12:45:02]),
(time_low:TEXT, Examples: [05:20:01, 19:25:02, 04:05:04]),
(volume_24h:REAL, Examples: [0.0, 46862728.0, 31112234.0]),
(percent_change_1h:REAL, Examples: [0.639231, 0.799273, -0.934763]),
(percent_change_24h:REAL, Examples: [7.63553, 0.920718, 18.558]),
(percent_change_7d:REAL, Examples: [-13.809, -16.7201, 1.64395]),
(circulating_supply:REAL, Examples: [11091325.0, 17164230.0, 18757362.0]),
(total_supply:REAL, Examples: [11091325.0, 17164230.0, 18757362.0]),
(max_supply:REAL, Examples: [21000000.0, 84000000.0, 42000000.0]),
(num_market_pairs:INTEGER, Examples: [7050, 5146, 382])
]

    【Question】
    State the transaction date whereby DigixDAO was transacted at the hightest price. the highest price refers to max(price); DigixDAO refers to name = 'DigixDAO'

    【Evidence】
    the highest price refers to max(price); DigixDAO refers to name = 'DigixDAO'

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T2.date FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'DigixDAO' ORDER BY T2.price DESC LIMIT 1
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 coinmarketcap
【Schema】
# Table: coins
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [Bitcoin, Litecoin, Namecoin]),
(slug:TEXT, Examples: [bitcoin, litecoin, namecoin]),
(symbol:TEXT, Examples: [BTC, LTC, NMC]),
(status:TEXT, Examples: [active, untracked, inactive]),
(category:TEXT, Examples: [coin, token]),
(description:TEXT),
(subreddit:TEXT, Examples: [bitcoin, litecoin, namecoin]),
(notice:TEXT),
(tags:TEXT),
(tag_names:TEXT),
(website:TEXT),
(platform_id:INTEGER, Examples: [1027, 1765, 1376]),
(date_added:TEXT, Examples: [2013-04-28T00:00:00.000Z]),
(date_launched:TEXT, Examples: [2018-01-16T00:00:00.000Z])
]
# Table: historical
[
(date:DATE, Examples: [2013-04-28]),
(coin_id:INTEGER, Examples: [1, 2, 5]),
(cmc_rank:INTEGER, Examples: [1, 2, 3]),
(market_cap:REAL, Examples: [1488566971.9558687, 74637021.56790735, 7250186.647688276]),
(price:REAL, Examples: [134.210021972656, 4.34840488433838, 0.386524856090546]),
(open:REAL, Examples: [134.44400024414062, 4.366759777069092, 0.3871999979019165]),
(high:REAL, Examples: [147.48800659179688, 4.573599815368652, 0.4247649908065796]),
(low:REAL, Examples: [134.0, 4.225639820098877, 0.37790799140930176]),
(close:REAL, Examples: [144.5399932861328, 4.383900165557861, 0.4088610112667084]),
(time_high:TEXT, Examples: [13:15:01, 13:15:03, 12:45:02]),
(time_low:TEXT, Examples: [05:20:01, 19:25:02, 04:05:04]),
(volume_24h:REAL, Examples: [0.0, 46862728.0, 31112234.0]),
(percent_change_1h:REAL, Examples: [0.639231, 0.799273, -0.934763]),
(percent_change_24h:REAL, Examples: [7.63553, 0.920718, 18.558]),
(percent_change_7d:REAL, Examples: [-13.809, -16.7201, 1.64395]),
(circulating_supply:REAL, Examples: [11091325.0, 17164230.0, 18757362.0]),
(total_supply:REAL, Examples: [11091325.0, 17164230.0, 18757362.0]),
(max_supply:REAL, Examples: [21000000.0, 84000000.0, 42000000.0]),
(num_market_pairs:INTEGER, Examples: [7050, 5146, 382])
]

    【Question】
    Name the coin with the highest percentage price changed in 24 hours. State the transaction date and price. the highest percentage price changed in 24 hours refers to max(percent_change_24h)

    【Evidence】
    the highest percentage price changed in 24 hours refers to max(percent_change_24h)

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T1.name, T2.DATE, T2.price FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.percent_change_24h = ( SELECT MAX(percent_change_24h) FROM historical )
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 coinmarketcap
【Schema】
# Table: coins
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [Bitcoin, Litecoin, Namecoin]),
(slug:TEXT, Examples: [bitcoin, litecoin, namecoin]),
(symbol:TEXT, Examples: [BTC, LTC, NMC]),
(status:TEXT, Examples: [active, untracked, inactive]),
(category:TEXT, Examples: [coin, token]),
(description:TEXT),
(subreddit:TEXT, Examples: [bitcoin, litecoin, namecoin]),
(notice:TEXT),
(tags:TEXT),
(tag_names:TEXT),
(website:TEXT),
(platform_id:INTEGER, Examples: [1027, 1765, 1376]),
(date_added:TEXT, Examples: [2013-04-28T00:00:00.000Z]),
(date_launched:TEXT, Examples: [2018-01-16T00:00:00.000Z])
]
# Table: historical
[
(date:DATE, Examples: [2013-04-28]),
(coin_id:INTEGER, Examples: [1, 2, 5]),
(cmc_rank:INTEGER, Examples: [1, 2, 3]),
(market_cap:REAL, Examples: [1488566971.9558687, 74637021.56790735, 7250186.647688276]),
(price:REAL, Examples: [134.210021972656, 4.34840488433838, 0.386524856090546]),
(open:REAL, Examples: [134.44400024414062, 4.366759777069092, 0.3871999979019165]),
(high:REAL, Examples: [147.48800659179688, 4.573599815368652, 0.4247649908065796]),
(low:REAL, Examples: [134.0, 4.225639820098877, 0.37790799140930176]),
(close:REAL, Examples: [144.5399932861328, 4.383900165557861, 0.4088610112667084]),
(time_high:TEXT, Examples: [13:15:01, 13:15:03, 12:45:02]),
(time_low:TEXT, Examples: [05:20:01, 19:25:02, 04:05:04]),
(volume_24h:REAL, Examples: [0.0, 46862728.0, 31112234.0]),
(percent_change_1h:REAL, Examples: [0.639231, 0.799273, -0.934763]),
(percent_change_24h:REAL, Examples: [7.63553, 0.920718, 18.558]),
(percent_change_7d:REAL, Examples: [-13.809, -16.7201, 1.64395]),
(circulating_supply:REAL, Examples: [11091325.0, 17164230.0, 18757362.0]),
(total_supply:REAL, Examples: [11091325.0, 17164230.0, 18757362.0]),
(max_supply:REAL, Examples: [21000000.0, 84000000.0, 42000000.0]),
(num_market_pairs:INTEGER, Examples: [7050, 5146, 382])
]

    【Question】
    What is the average monthly circulating supply for Frozen in 2014. average monthly circulating supply = AVG(circulating_supply); in 2017 refers to date BETWEEN '2017-01-01' AND '2017-12-31'

    【Evidence】
    average monthly circulating supply = AVG(circulating_supply); in 2017 refers to date BETWEEN '2017-01-01' AND '2017-12-31'

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT CAST(SUM(T2.circulating_supply) AS REAL) / 12 FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'Frozen' AND STRFTIME('%Y', T2.date) = '2014'