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】 authors
【Schema】
# Table: Conference
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 4]),
(ShortName:TEXT, Examples: [IADIS, IADT, ICOMP]),
(FullName:TEXT),
(HomePage:TEXT)
]
# Table: PaperAuthor
[
(PaperId:INTEGER, Examples: [4, 5, 6]),
(AuthorId:INTEGER, Examples: [1456512, 1102257, 1806301]),
(Name:TEXT, Examples: [ADAM G. JONES, Kazuo Iwama, Asgeir Finnseth]),
(Affiliation:TEXT)
]
# Table: Paper
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Title:TEXT),
(Year:INTEGER, Examples: [2009, 2007, 1963]),
(ConferenceId:INTEGER, Examples: [167, 0, 158]),
(JournalId:INTEGER, Examples: [0, 7234, 16867]),
(Keyword:TEXT)
]
# Table: Journal
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(ShortName:TEXT, Examples: [ICOM, AEPIA, IBMRD]),
(FullName:TEXT),
(HomePage:TEXT)
]
# Table: Author
[
(Id:INTEGER, Primary Key, Examples: [9, 14, 15]),
(Name:TEXT, Examples: [Ernest Jordan, K. MORIBE, D. Jakominich]),
(Affiliation:TEXT)
]
【Foreign keys】
PaperAuthor.PaperId=Paper.Id
PaperAuthor.AuthorId=Author.Id
Paper.ConferenceId=Conference.Id
Paper.JournalId=Journal.Id

    【Question】
    Mention the name of author for paper id 5 and state the keyword of this page.

    【Evidence】
    

    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, T3.Keyword FROM Author AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.AuthorId INNER JOIN Paper AS T3 ON T2.PaperId = T3.Id WHERE T2.PaperId = 5
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 authors
【Schema】
# Table: Conference
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 4]),
(ShortName:TEXT, Examples: [IADIS, IADT, ICOMP]),
(FullName:TEXT),
(HomePage:TEXT)
]
# Table: PaperAuthor
[
(PaperId:INTEGER, Examples: [4, 5, 6]),
(AuthorId:INTEGER, Examples: [1456512, 1102257, 1806301]),
(Name:TEXT, Examples: [ADAM G. JONES, Kazuo Iwama, Asgeir Finnseth]),
(Affiliation:TEXT)
]
# Table: Paper
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Title:TEXT),
(Year:INTEGER, Examples: [2009, 2007, 1963]),
(ConferenceId:INTEGER, Examples: [167, 0, 158]),
(JournalId:INTEGER, Examples: [0, 7234, 16867]),
(Keyword:TEXT)
]
# Table: Journal
[
(Id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(ShortName:TEXT, Examples: [ICOM, AEPIA, IBMRD]),
(FullName:TEXT),
(HomePage:TEXT)
]
# Table: Author
[
(Id:INTEGER, Primary Key, Examples: [9, 14, 15]),
(Name:TEXT, Examples: [Ernest Jordan, K. MORIBE, D. Jakominich]),
(Affiliation:TEXT)
]
【Foreign keys】
PaperAuthor.PaperId=Paper.Id
PaperAuthor.AuthorId=Author.Id
Paper.ConferenceId=Conference.Id
Paper.JournalId=Journal.Id

    【Question】
    What is the full name of the conference in which the paper "2004 YD5" was published? '2004 YD5' is the title of paper

    【Evidence】
    '2004 YD5' is the title of paper

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

SQL: SELECT T1.FullName FROM Conference AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.ConferenceId WHERE T2.Title = '2004 YD5'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 citeseer
【Schema】
# Table: content
[
(paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(word_cited_id:TEXT, Primary Key, Examples: [word1163, word1509, word1614])
]
# Table: paper
[
(paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(class_label:TEXT, Examples: [Agents, IR, ML])
]
# Table: cites
[
(cited_paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(citing_paper_id:TEXT, Primary Key, Examples: [100157, 364207, 38848])
]
【Foreign keys】
content.paper_id=paper.paper_id

    【Question】
    Among all the citation, what is the percentage of paper ID under the Agents classification? classification refers to class_label; class_label = 'Agents'; percentage = (divide(count(paper_id where class_label = 'Agents')), (count(paper_id)))*100;

    【Evidence】
    classification refers to class_label; class_label = 'Agents'; percentage = (divide(count(paper_id where class_label = 'Agents')), (count(paper_id)))*100;

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

SQL: SELECT CAST(COUNT(CASE WHEN class_label = 'Agents' THEN paper_id ELSE NULL END) AS REAL) * 100 / COUNT(paper_id) FROM paper
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 citeseer
【Schema】
# Table: content
[
(paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(word_cited_id:TEXT, Primary Key, Examples: [word1163, word1509, word1614])
]
# Table: paper
[
(paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(class_label:TEXT, Examples: [Agents, IR, ML])
]
# Table: cites
[
(cited_paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(citing_paper_id:TEXT, Primary Key, Examples: [100157, 364207, 38848])
]
【Foreign keys】
content.paper_id=paper.paper_id

    【Question】
    What is the most cited word? How many papers was that word cited in? most cited word refers to max(count(word_cited_id);

    【Evidence】
    most cited word refers to max(count(word_cited_id);

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

SQL: SELECT word_cited_id, COUNT(paper_id) FROM content GROUP BY word_cited_id ORDER BY COUNT(word_cited_id) DESC LIMIT 1
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 citeseer
【Schema】
# Table: content
[
(paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(word_cited_id:TEXT, Primary Key, Examples: [word1163, word1509, word1614])
]
# Table: paper
[
(paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(class_label:TEXT, Examples: [Agents, IR, ML])
]
# Table: cites
[
(cited_paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(citing_paper_id:TEXT, Primary Key, Examples: [100157, 364207, 38848])
]
【Foreign keys】
content.paper_id=paper.paper_id

    【Question】
    What is the total number of word cited under that class labelled 'AI'?

    【Evidence】
    

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

SQL: SELECT COUNT(DISTINCT T2.word_cited_id) FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T1.class_label = 'AI'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 citeseer
【Schema】
# Table: content
[
(paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(word_cited_id:TEXT, Primary Key, Examples: [word1163, word1509, word1614])
]
# Table: paper
[
(paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(class_label:TEXT, Examples: [Agents, IR, ML])
]
# Table: cites
[
(cited_paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(citing_paper_id:TEXT, Primary Key, Examples: [100157, 364207, 38848])
]
【Foreign keys】
content.paper_id=paper.paper_id

    【Question】
    For all words cited in paper ID 315017, state the other paper ID and class label which also cited those words.

    【Evidence】
    

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

SQL: SELECT T1.class_label, T2.word_cited_id FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T1.paper_id = 315017
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 citeseer
【Schema】
# Table: content
[
(paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(word_cited_id:TEXT, Primary Key, Examples: [word1163, word1509, word1614])
]
# Table: paper
[
(paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(class_label:TEXT, Examples: [Agents, IR, ML])
]
# Table: cites
[
(cited_paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(citing_paper_id:TEXT, Primary Key, Examples: [100157, 364207, 38848])
]
【Foreign keys】
content.paper_id=paper.paper_id

    【Question】
    Among all the DB class type citation, which word is the most frequently cited? class type refers to class_label; class_label = 'DB'; word that is most frequently cited refers to max(count(word_cited_id);

    【Evidence】
    class type refers to class_label; class_label = 'DB'; word that is most frequently cited refers to max(count(word_cited_id);

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

SQL: SELECT T2.word_cited_id FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T1.class_label = 'DB' GROUP BY T2.word_cited_id ORDER BY COUNT(T2.word_cited_id) DESC LIMIT 1
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 citeseer
【Schema】
# Table: content
[
(paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(word_cited_id:TEXT, Primary Key, Examples: [word1163, word1509, word1614])
]
# Table: paper
[
(paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(class_label:TEXT, Examples: [Agents, IR, ML])
]
# Table: cites
[
(cited_paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(citing_paper_id:TEXT, Primary Key, Examples: [100157, 364207, 38848])
]
【Foreign keys】
content.paper_id=paper.paper_id

    【Question】
    Calculate the percentage of words used in Agents class label. percentage = (divide(count(word_cited_id where class_label = 'Agents')), (count(word_cited_id)))*100;

    【Evidence】
    percentage = (divide(count(word_cited_id where class_label = 'Agents')), (count(word_cited_id)))*100;

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

SQL: SELECT CAST(COUNT(DISTINCT CASE WHEN T1.class_label = 'Agents' THEN T2.word_cited_id ELSE NULL END) AS REAL) * 100 / COUNT(DISTINCT T2.word_cited_id) FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 citeseer
【Schema】
# Table: content
[
(paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(word_cited_id:TEXT, Primary Key, Examples: [word1163, word1509, word1614])
]
# Table: paper
[
(paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(class_label:TEXT, Examples: [Agents, IR, ML])
]
# Table: cites
[
(cited_paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(citing_paper_id:TEXT, Primary Key, Examples: [100157, 364207, 38848])
]
【Foreign keys】
content.paper_id=paper.paper_id

    【Question】
    Which paper ID cited the most word? In which class label does it belongs to? most cited word refers to max(word_cited_id);

    【Evidence】
    most cited word refers to max(word_cited_id);

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

SQL: SELECT T1.paper_id, T1.class_label FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id GROUP BY T1.paper_id, T1.class_label ORDER BY COUNT(T2.word_cited_id) DESC LIMIT 1
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 citeseer
【Schema】
# Table: content
[
(paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(word_cited_id:TEXT, Primary Key, Examples: [word1163, word1509, word1614])
]
# Table: paper
[
(paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(class_label:TEXT, Examples: [Agents, IR, ML])
]
# Table: cites
[
(cited_paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(citing_paper_id:TEXT, Primary Key, Examples: [100157, 364207, 38848])
]
【Foreign keys】
content.paper_id=paper.paper_id

    【Question】
    List all the paper ID and its class type that cited the word 'word1002'. class type refers to class_label;

    【Evidence】
    class type refers to class_label;

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

SQL: SELECT T1.paper_id, T1.class_label FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T2.word_cited_id = 'word1002'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 citeseer
【Schema】
# Table: content
[
(paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(word_cited_id:TEXT, Primary Key, Examples: [word1163, word1509, word1614])
]
# Table: paper
[
(paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(class_label:TEXT, Examples: [Agents, IR, ML])
]
# Table: cites
[
(cited_paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(citing_paper_id:TEXT, Primary Key, Examples: [100157, 364207, 38848])
]
【Foreign keys】
content.paper_id=paper.paper_id

    【Question】
    List all words cited in the AI class label.

    【Evidence】
    

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

SQL: SELECT DISTINCT T2.word_cited_id FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T1.class_label = 'AI'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 citeseer
【Schema】
# Table: content
[
(paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(word_cited_id:TEXT, Primary Key, Examples: [word1163, word1509, word1614])
]
# Table: paper
[
(paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(class_label:TEXT, Examples: [Agents, IR, ML])
]
# Table: cites
[
(cited_paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(citing_paper_id:TEXT, Primary Key, Examples: [100157, 364207, 38848])
]
【Foreign keys】
content.paper_id=paper.paper_id

    【Question】
    What is the class label of paper ID 'chakrabarti01integrating'. How many words were cited by this paper ID?

    【Evidence】
    

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

SQL: SELECT DISTINCT T1.class_label, COUNT(T2.word_cited_id) FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T1.paper_id = 'chakrabarti01integrating' GROUP BY T1.class_label
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 citeseer
【Schema】
# Table: content
[
(paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(word_cited_id:TEXT, Primary Key, Examples: [word1163, word1509, word1614])
]
# Table: paper
[
(paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(class_label:TEXT, Examples: [Agents, IR, ML])
]
# Table: cites
[
(cited_paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(citing_paper_id:TEXT, Primary Key, Examples: [100157, 364207, 38848])
]
【Foreign keys】
content.paper_id=paper.paper_id

    【Question】
    List all paper ID and its class type with more than 20 cited words. class type refers to class_label; count(word_cited_id)>20

    【Evidence】
    class type refers to class_label; count(word_cited_id)>20

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

SQL: SELECT DISTINCT T1.paper_id, T1.class_label FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id GROUP BY T2.paper_id, T1.class_label HAVING COUNT(T2.word_cited_id) > 20
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 citeseer
【Schema】
# Table: content
[
(paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(word_cited_id:TEXT, Primary Key, Examples: [word1163, word1509, word1614])
]
# Table: paper
[
(paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(class_label:TEXT, Examples: [Agents, IR, ML])
]
# Table: cites
[
(cited_paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(citing_paper_id:TEXT, Primary Key, Examples: [100157, 364207, 38848])
]
【Foreign keys】
content.paper_id=paper.paper_id

    【Question】
    List the words that are cited in both AI and IR class label.

    【Evidence】
    

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

SQL: SELECT DISTINCT T2.word_cited_id FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T1.class_label = 'AI' OR T1.class_label = 'IR'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 citeseer
【Schema】
# Table: content
[
(paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(word_cited_id:TEXT, Primary Key, Examples: [word1163, word1509, word1614])
]
# Table: paper
[
(paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(class_label:TEXT, Examples: [Agents, IR, ML])
]
# Table: cites
[
(cited_paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(citing_paper_id:TEXT, Primary Key, Examples: [100157, 364207, 38848])
]
【Foreign keys】
content.paper_id=paper.paper_id

    【Question】
    Name the paper which is cited most times and the paper which is cited least times? Also, find the number of times each one is cited.

    【Evidence】
    

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

SQL: SELECT cited_paper_id, COUNT(cited_paper_id), ( SELECT cited_paper_id FROM cites GROUP BY cited_paper_id ORDER BY COUNT(cited_paper_id) ASC LIMIT 1 ), ( SELECT COUNT(cited_paper_id) FROM cites GROUP BY cited_paper_id ORDER BY COUNT(cited_paper_id) ASC LIMIT 1 ) FROM cites GROUP BY cited_paper_id ORDER BY COUNT(cited_paper_id) DESC LIMIT 1
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 citeseer
【Schema】
# Table: content
[
(paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(word_cited_id:TEXT, Primary Key, Examples: [word1163, word1509, word1614])
]
# Table: paper
[
(paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(class_label:TEXT, Examples: [Agents, IR, ML])
]
# Table: cites
[
(cited_paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(citing_paper_id:TEXT, Primary Key, Examples: [100157, 364207, 38848])
]
【Foreign keys】
content.paper_id=paper.paper_id

    【Question】
    On average, how many papers are under the ML class? class refers to class_label; average = divide(count(paper_id where class_label = 'M')), (count(paper_id)));

    【Evidence】
    class refers to class_label; average = divide(count(paper_id where class_label = 'M')), (count(paper_id)));

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

SQL: SELECT CAST(COUNT(CASE WHEN class_label = 'ML' THEN paper_id ELSE NULL END) AS REAL) / COUNT(paper_id) FROM paper
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 citeseer
【Schema】
# Table: content
[
(paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(word_cited_id:TEXT, Primary Key, Examples: [word1163, word1509, word1614])
]
# Table: paper
[
(paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(class_label:TEXT, Examples: [Agents, IR, ML])
]
# Table: cites
[
(cited_paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(citing_paper_id:TEXT, Primary Key, Examples: [100157, 364207, 38848])
]
【Foreign keys】
content.paper_id=paper.paper_id

    【Question】
    Find the words cited in papers that are cited by sima01computational? paper cited by refers to citing_paper_id; citing_paper_id = 'sima01computational';

    【Evidence】
    paper cited by refers to citing_paper_id; citing_paper_id = 'sima01computational';

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

SQL: SELECT DISTINCT T2.word_cited_id FROM cites AS T1 INNER JOIN content AS T2 ON T1.cited_paper_id = T2.paper_id WHERE T1.citing_paper_id = 'sima01computational'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 citeseer
【Schema】
# Table: content
[
(paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(word_cited_id:TEXT, Primary Key, Examples: [word1163, word1509, word1614])
]
# Table: paper
[
(paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(class_label:TEXT, Examples: [Agents, IR, ML])
]
# Table: cites
[
(cited_paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(citing_paper_id:TEXT, Primary Key, Examples: [100157, 364207, 38848])
]
【Foreign keys】
content.paper_id=paper.paper_id

    【Question】
    How many papers were cited by schmidt99advanced cited word3555? paper cited by refers to citing_paper_id; citing_paper_id = 'schmidt99advanced';

    【Evidence】
    paper cited by refers to citing_paper_id; citing_paper_id = 'schmidt99advanced';

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

SQL: SELECT COUNT(T2.paper_id) FROM cites AS T1 INNER JOIN content AS T2 ON T1.cited_paper_id = T2.paper_id WHERE T1.citing_paper_id = 'schmidt99advanced' AND T2.word_cited_id = 'word3555'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 citeseer
【Schema】
# Table: content
[
(paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(word_cited_id:TEXT, Primary Key, Examples: [word1163, word1509, word1614])
]
# Table: paper
[
(paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(class_label:TEXT, Examples: [Agents, IR, ML])
]
# Table: cites
[
(cited_paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(citing_paper_id:TEXT, Primary Key, Examples: [100157, 364207, 38848])
]
【Foreign keys】
content.paper_id=paper.paper_id

    【Question】
    Under what classification do the papers that cited word1163 belong?

    【Evidence】
    

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

SQL: SELECT DISTINCT T1.class_label FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T2.word_cited_id = 'word1163'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 citeseer
【Schema】
# Table: content
[
(paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(word_cited_id:TEXT, Primary Key, Examples: [word1163, word1509, word1614])
]
# Table: paper
[
(paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(class_label:TEXT, Examples: [Agents, IR, ML])
]
# Table: cites
[
(cited_paper_id:TEXT, Primary Key, Examples: [100157, 100598, 101570]),
(citing_paper_id:TEXT, Primary Key, Examples: [100157, 364207, 38848])
]
【Foreign keys】
content.paper_id=paper.paper_id

    【Question】
    Among the papers under DB classification, which paper has the highest number of words cited? classification refers to class_label; class_label = 'DB';

    【Evidence】
    classification refers to class_label; class_label = 'DB';

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

SQL: SELECT T1.paper_id FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T1.class_label = 'DB' GROUP BY T1.paper_id ORDER BY COUNT(T2.word_cited_id) DESC LIMIT 1