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】 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】
    How much was a Bitcoin on 2013/4/28? how much refers to price; on 2013/4/28 refers to date = '2013-04-28'

    【Evidence】
    how much refers to price; on 2013/4/28 refers to date = '2013-04-28'

    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 T2.date = '2013-04-28' AND T1.name = 'Bitcoin'
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 was the average price of a Bitcoin in the year 2013? average price refers SUM(price)/COUNT(named = 'Bitcoin'); in the year 2013 refers to year(date) = 2013

    【Evidence】
    average price refers SUM(price)/COUNT(named = 'Bitcoin'); in the year 2013 refers to year(date) = 2013

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

SQL: SELECT AVG(T2.price) FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE STRFTIME('%Y', T2.date) = '2013' AND T1.name = 'Bitcoin'
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 was the percentage of the Bitcoins verifiably burned until 2018/4/28? the percentage of the Bitcoins verifiably burned = divide(subtract(SUM(max_supply), SUM(total_supply)),SUM(total_supply))*100%; until 2013/4/28 refers to date<'2013-04-08'

    【Evidence】
    the percentage of the Bitcoins verifiably burned = divide(subtract(SUM(max_supply), SUM(total_supply)),SUM(total_supply))*100%; until 2013/4/28 refers to date<'2013-04-08'

    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.max_supply) - SUM(T2.total_supply)) AS REAL) / SUM(T2.total_supply) FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date < '2018-04-28' AND T1.name = 'Bitcoin'
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】
    Please list the names of coins that has been disappeared. has disappeared refers to status = 'extinct'

    【Evidence】
    has disappeared refers to status = 'extinct'

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

SQL: SELECT name FROM coins WHERE status = 'extinct'
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's the descripition of BitBar?

    【Evidence】
    

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

SQL: SELECT description FROM coins WHERE name = 'BitBar'
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】
    How many coins were added in May 2013? Please list the names of coins. in May 2013 refers to year(date_added) = 2013 and month(date_added) = 5

    【Evidence】
    in May 2013 refers to year(date_added) = 2013 and month(date_added) = 5

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

SQL: SELECT COUNT(id) num FROM coins WHERE STRFTIME('%Y-%m', date_added) = '2013-05' UNION ALL SELECT name FROM coins WHERE STRFTIME('%Y-%m', date_added) = '2013-05'
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 names and symbols of the coins that were added on June 14, 2013. added on June 14, 2013 refers to date_added like '2013-06-14%'

    【Evidence】
    added on June 14, 2013 refers to date_added like '2013-06-14%'

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

SQL: SELECT name, symbol FROM coins WHERE date_added LIKE '2013-06-14%'
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 names of coins that cannot be traded in 2014. cannot be tracked refers to status = 'untracked'; in 2014 refers to year(date_added) = '2014'

    【Evidence】
    cannot be tracked refers to status = 'untracked'; in 2014 refers to year(date_added) = '2014'

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

SQL: SELECT name FROM coins WHERE date_added LIKE '2014%' AND status = 'untracked'
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 coins that have three tags. have three tags refers to length(tag_names)-length(replace(tag_names,',','')) = 2

    【Evidence】
    have three tags refers to length(tag_names)-length(replace(tag_names,',','')) = 2

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

SQL: SELECT name FROM coins WHERE LENGTH(tag_names) - LENGTH(replace(tag_names, ',', '')) = 2