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】 image_and_language
【Schema】
# Table: ATT_CLASSES
[
(ATT_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(ATT_CLASS:TEXT, Examples: [building s, indoors, cluttered])
]
# Table: IMG_OBJ_ATT
[
(IMG_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(ATT_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(OBJ_SAMPLE_ID:INTEGER, Primary Key, Examples: [21, 22, 23])
]
# Table: IMG_OBJ
[
(IMG_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(OBJ_SAMPLE_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(OBJ_CLASS_ID:INTEGER, Examples: [298, 246, 293]),
(X:INTEGER, Examples: [0, 78, 1]),
(Y:INTEGER, Examples: [0, 308, 283]),
(W:INTEGER, Examples: [799, 722, 222]),
(H:INTEGER, Examples: [557, 290, 538])
]
# Table: OBJ_CLASSES
[
(OBJ_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(OBJ_CLASS:TEXT, Examples: [awning, goggles, dot])
]
# Table: IMG_REL
[
(IMG_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(PRED_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(OBJ1_SAMPLE_ID:INTEGER, Primary Key, Examples: [13, 12, 4]),
(OBJ2_SAMPLE_ID:INTEGER, Primary Key, Examples: [1, 34, 5])
]
# Table: PRED_CLASSES
[
(PRED_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(PRED_CLASS:TEXT, Examples: [playing on, looking a, to left of])
]
【Foreign keys】
IMG_OBJ_ATT.ATT_CLASS_ID=ATT_CLASSES.ATT_CLASS_ID
IMG_OBJ_ATT.IMG_ID=IMG_OBJ.IMG_ID
IMG_OBJ_ATT.OBJ_SAMPLE_ID=IMG_OBJ.OBJ_SAMPLE_ID
IMG_OBJ.OBJ_CLASS_ID=OBJ_CLASSES.OBJ_CLASS_ID
IMG_REL.PRED_CLASS_ID=PRED_CLASSES.PRED_CLASS_ID
IMG_REL.IMG_ID=IMG_OBJ.IMG_ID
IMG_REL.OBJ1_SAMPLE_ID=IMG_OBJ.OBJ_SAMPLE_ID
IMG_REL.IMG_ID=IMG_OBJ.IMG_ID
IMG_REL.OBJ2_SAMPLE_ID=IMG_OBJ.OBJ_SAMPLE_ID

    【Question】
    How many images have at least one pair of object samples with the relation "parked on"? How many images have at least one pair of object samples with the relation "parked on" refers to count(IMG_ID) where OBJ1_SAMPLE_ID ! = OBJ2_SAMPLE_ID and PRED_CLASS = 'parked on'

    【Evidence】
    How many images have at least one pair of object samples with the relation "parked on" refers to count(IMG_ID) where OBJ1_SAMPLE_ID ! = OBJ2_SAMPLE_ID and PRED_CLASS = 'parked on'

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

SQL: SELECT SUM(CASE WHEN T1.PRED_CLASS = 'parked on' THEN 1 ELSE 0 END) FROM PRED_CLASSES AS T1 INNER JOIN IMG_REL AS T2 ON T1.PRED_CLASS_ID = T2.PRED_CLASS_ID WHERE T2.OBJ1_SAMPLE_ID != T2.OBJ2_SAMPLE_ID
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 image_and_language
【Schema】
# Table: ATT_CLASSES
[
(ATT_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(ATT_CLASS:TEXT, Examples: [building s, indoors, cluttered])
]
# Table: IMG_OBJ_ATT
[
(IMG_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(ATT_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(OBJ_SAMPLE_ID:INTEGER, Primary Key, Examples: [21, 22, 23])
]
# Table: IMG_OBJ
[
(IMG_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(OBJ_SAMPLE_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(OBJ_CLASS_ID:INTEGER, Examples: [298, 246, 293]),
(X:INTEGER, Examples: [0, 78, 1]),
(Y:INTEGER, Examples: [0, 308, 283]),
(W:INTEGER, Examples: [799, 722, 222]),
(H:INTEGER, Examples: [557, 290, 538])
]
# Table: OBJ_CLASSES
[
(OBJ_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(OBJ_CLASS:TEXT, Examples: [awning, goggles, dot])
]
# Table: IMG_REL
[
(IMG_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(PRED_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(OBJ1_SAMPLE_ID:INTEGER, Primary Key, Examples: [13, 12, 4]),
(OBJ2_SAMPLE_ID:INTEGER, Primary Key, Examples: [1, 34, 5])
]
# Table: PRED_CLASSES
[
(PRED_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(PRED_CLASS:TEXT, Examples: [playing on, looking a, to left of])
]
【Foreign keys】
IMG_OBJ_ATT.ATT_CLASS_ID=ATT_CLASSES.ATT_CLASS_ID
IMG_OBJ_ATT.IMG_ID=IMG_OBJ.IMG_ID
IMG_OBJ_ATT.OBJ_SAMPLE_ID=IMG_OBJ.OBJ_SAMPLE_ID
IMG_OBJ.OBJ_CLASS_ID=OBJ_CLASSES.OBJ_CLASS_ID
IMG_REL.PRED_CLASS_ID=PRED_CLASSES.PRED_CLASS_ID
IMG_REL.IMG_ID=IMG_OBJ.IMG_ID
IMG_REL.OBJ1_SAMPLE_ID=IMG_OBJ.OBJ_SAMPLE_ID
IMG_REL.IMG_ID=IMG_OBJ.IMG_ID
IMG_REL.OBJ2_SAMPLE_ID=IMG_OBJ.OBJ_SAMPLE_ID

    【Question】
    Please list the IDs of all the images with more than 2 pairs of object samples with the relation "parked on". IDs of all the images refers to IMG_ID; relation "parked on" refers to PRED_CLASS = 'parked on'; more than 2 pairs refers to count(IMG_ID) where OBJ1_SAMPLE_ID ! = OBJ2_SAMPLE_ID

    【Evidence】
    IDs of all the images refers to IMG_ID; relation "parked on" refers to PRED_CLASS = 'parked on'; more than 2 pairs refers to count(IMG_ID) where OBJ1_SAMPLE_ID ! = OBJ2_SAMPLE_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.IMG_ID FROM PRED_CLASSES AS T1 INNER JOIN IMG_REL AS T2 ON T1.PRED_CLASS_ID = T2.PRED_CLASS_ID WHERE T1.PRED_CLASS = 'parked on' AND T2.OBJ1_SAMPLE_ID != T2.OBJ2_SAMPLE_ID GROUP BY T2.IMG_ID HAVING COUNT(T2.IMG_ID) > 2
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 image_and_language
【Schema】
# Table: ATT_CLASSES
[
(ATT_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(ATT_CLASS:TEXT, Examples: [building s, indoors, cluttered])
]
# Table: IMG_OBJ_ATT
[
(IMG_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(ATT_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(OBJ_SAMPLE_ID:INTEGER, Primary Key, Examples: [21, 22, 23])
]
# Table: IMG_OBJ
[
(IMG_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(OBJ_SAMPLE_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(OBJ_CLASS_ID:INTEGER, Examples: [298, 246, 293]),
(X:INTEGER, Examples: [0, 78, 1]),
(Y:INTEGER, Examples: [0, 308, 283]),
(W:INTEGER, Examples: [799, 722, 222]),
(H:INTEGER, Examples: [557, 290, 538])
]
# Table: OBJ_CLASSES
[
(OBJ_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(OBJ_CLASS:TEXT, Examples: [awning, goggles, dot])
]
# Table: IMG_REL
[
(IMG_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(PRED_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(OBJ1_SAMPLE_ID:INTEGER, Primary Key, Examples: [13, 12, 4]),
(OBJ2_SAMPLE_ID:INTEGER, Primary Key, Examples: [1, 34, 5])
]
# Table: PRED_CLASSES
[
(PRED_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(PRED_CLASS:TEXT, Examples: [playing on, looking a, to left of])
]
【Foreign keys】
IMG_OBJ_ATT.ATT_CLASS_ID=ATT_CLASSES.ATT_CLASS_ID
IMG_OBJ_ATT.IMG_ID=IMG_OBJ.IMG_ID
IMG_OBJ_ATT.OBJ_SAMPLE_ID=IMG_OBJ.OBJ_SAMPLE_ID
IMG_OBJ.OBJ_CLASS_ID=OBJ_CLASSES.OBJ_CLASS_ID
IMG_REL.PRED_CLASS_ID=PRED_CLASSES.PRED_CLASS_ID
IMG_REL.IMG_ID=IMG_OBJ.IMG_ID
IMG_REL.OBJ1_SAMPLE_ID=IMG_OBJ.OBJ_SAMPLE_ID
IMG_REL.IMG_ID=IMG_OBJ.IMG_ID
IMG_REL.OBJ2_SAMPLE_ID=IMG_OBJ.OBJ_SAMPLE_ID

    【Question】
    To which predicted relation class does the self-relation of the object sample in image no.5 belong? predicted relation class refers to PRED_CLASS; self-relations refers to OBJ1_SAMPLE_ID = OBJ2_SAMPLE_ID; image no.5 refers to IMG_ID = 5

    【Evidence】
    predicted relation class refers to PRED_CLASS; self-relations refers to OBJ1_SAMPLE_ID = OBJ2_SAMPLE_ID; image no.5 refers to IMG_ID = 5

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

SQL: SELECT T1.PRED_CLASS FROM PRED_CLASSES AS T1 INNER JOIN IMG_REL AS T2 ON T1.PRED_CLASS_ID = T2.PRED_CLASS_ID WHERE T2.IMG_ID = 5 AND T2.OBJ1_SAMPLE_ID = T2.OBJ2_SAMPLE_ID
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 image_and_language
【Schema】
# Table: ATT_CLASSES
[
(ATT_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(ATT_CLASS:TEXT, Examples: [building s, indoors, cluttered])
]
# Table: IMG_OBJ_ATT
[
(IMG_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(ATT_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(OBJ_SAMPLE_ID:INTEGER, Primary Key, Examples: [21, 22, 23])
]
# Table: IMG_OBJ
[
(IMG_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(OBJ_SAMPLE_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(OBJ_CLASS_ID:INTEGER, Examples: [298, 246, 293]),
(X:INTEGER, Examples: [0, 78, 1]),
(Y:INTEGER, Examples: [0, 308, 283]),
(W:INTEGER, Examples: [799, 722, 222]),
(H:INTEGER, Examples: [557, 290, 538])
]
# Table: OBJ_CLASSES
[
(OBJ_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(OBJ_CLASS:TEXT, Examples: [awning, goggles, dot])
]
# Table: IMG_REL
[
(IMG_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(PRED_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(OBJ1_SAMPLE_ID:INTEGER, Primary Key, Examples: [13, 12, 4]),
(OBJ2_SAMPLE_ID:INTEGER, Primary Key, Examples: [1, 34, 5])
]
# Table: PRED_CLASSES
[
(PRED_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(PRED_CLASS:TEXT, Examples: [playing on, looking a, to left of])
]
【Foreign keys】
IMG_OBJ_ATT.ATT_CLASS_ID=ATT_CLASSES.ATT_CLASS_ID
IMG_OBJ_ATT.IMG_ID=IMG_OBJ.IMG_ID
IMG_OBJ_ATT.OBJ_SAMPLE_ID=IMG_OBJ.OBJ_SAMPLE_ID
IMG_OBJ.OBJ_CLASS_ID=OBJ_CLASSES.OBJ_CLASS_ID
IMG_REL.PRED_CLASS_ID=PRED_CLASSES.PRED_CLASS_ID
IMG_REL.IMG_ID=IMG_OBJ.IMG_ID
IMG_REL.OBJ1_SAMPLE_ID=IMG_OBJ.OBJ_SAMPLE_ID
IMG_REL.IMG_ID=IMG_OBJ.IMG_ID
IMG_REL.OBJ2_SAMPLE_ID=IMG_OBJ.OBJ_SAMPLE_ID

    【Question】
    What are the bounding boxes of the object samples with a predicted relation class of "by" in image no.1? bounding boxes of the object samples refers to (x, y, W, H); predicted relation class of "by" refers to PRED_CLASS = 'by'; image no.1 refers to IMG_ID = 1

    【Evidence】
    bounding boxes of the object samples refers to (x, y, W, H); predicted relation class of "by" refers to PRED_CLASS = 'by'; image no.1 refers to IMG_ID = 1

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

SQL: SELECT T3.X, T3.Y, T3.W, T3.H FROM PRED_CLASSES AS T1 INNER JOIN IMG_REL AS T2 ON T1.PRED_CLASS_ID = T2.PRED_CLASS_ID INNER JOIN IMG_OBJ AS T3 ON T2.OBJ1_SAMPLE_ID = T3.OBJ_CLASS_ID WHERE T2.IMG_ID = 1 AND T1.PRED_CLASS = 'by'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 image_and_language
【Schema】
# Table: ATT_CLASSES
[
(ATT_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(ATT_CLASS:TEXT, Examples: [building s, indoors, cluttered])
]
# Table: IMG_OBJ_ATT
[
(IMG_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(ATT_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(OBJ_SAMPLE_ID:INTEGER, Primary Key, Examples: [21, 22, 23])
]
# Table: IMG_OBJ
[
(IMG_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(OBJ_SAMPLE_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(OBJ_CLASS_ID:INTEGER, Examples: [298, 246, 293]),
(X:INTEGER, Examples: [0, 78, 1]),
(Y:INTEGER, Examples: [0, 308, 283]),
(W:INTEGER, Examples: [799, 722, 222]),
(H:INTEGER, Examples: [557, 290, 538])
]
# Table: OBJ_CLASSES
[
(OBJ_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(OBJ_CLASS:TEXT, Examples: [awning, goggles, dot])
]
# Table: IMG_REL
[
(IMG_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(PRED_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(OBJ1_SAMPLE_ID:INTEGER, Primary Key, Examples: [13, 12, 4]),
(OBJ2_SAMPLE_ID:INTEGER, Primary Key, Examples: [1, 34, 5])
]
# Table: PRED_CLASSES
[
(PRED_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(PRED_CLASS:TEXT, Examples: [playing on, looking a, to left of])
]
【Foreign keys】
IMG_OBJ_ATT.ATT_CLASS_ID=ATT_CLASSES.ATT_CLASS_ID
IMG_OBJ_ATT.IMG_ID=IMG_OBJ.IMG_ID
IMG_OBJ_ATT.OBJ_SAMPLE_ID=IMG_OBJ.OBJ_SAMPLE_ID
IMG_OBJ.OBJ_CLASS_ID=OBJ_CLASSES.OBJ_CLASS_ID
IMG_REL.PRED_CLASS_ID=PRED_CLASSES.PRED_CLASS_ID
IMG_REL.IMG_ID=IMG_OBJ.IMG_ID
IMG_REL.OBJ1_SAMPLE_ID=IMG_OBJ.OBJ_SAMPLE_ID
IMG_REL.IMG_ID=IMG_OBJ.IMG_ID
IMG_REL.OBJ2_SAMPLE_ID=IMG_OBJ.OBJ_SAMPLE_ID

    【Question】
    What is the average difference in the y coordinate of 2 object samples with the relation "parked on" in image no.1? relation "parked on" refers to PRED_CLASS = 'parked on'; image no.1 refers to IMG_ID = 1; average difference in the y coordinate = divide(sum(Y), count(PRED_CLASS)) where OBJ1_SAMPLE_ID ! = OBJ2_SAMPLE_ID

    【Evidence】
    relation "parked on" refers to PRED_CLASS = 'parked on'; image no.1 refers to IMG_ID = 1; average difference in the y coordinate = divide(sum(Y), count(PRED_CLASS)) where OBJ1_SAMPLE_ID ! = OBJ2_SAMPLE_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(SUM(T3.Y) AS REAL) / COUNT(CASE WHEN T1.PRED_CLASS = 'parked on' THEN 1 ELSE NULL END) FROM PRED_CLASSES AS T1 INNER JOIN IMG_REL AS T2 ON T1.PRED_CLASS_ID = T2.PRED_CLASS_ID INNER JOIN IMG_OBJ AS T3 ON T2.OBJ1_SAMPLE_ID = T3.OBJ_CLASS_ID WHERE T2.IMG_ID = 1 AND T2.OBJ1_SAMPLE_ID != T2.OBJ2_SAMPLE_ID
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 image_and_language
【Schema】
# Table: ATT_CLASSES
[
(ATT_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(ATT_CLASS:TEXT, Examples: [building s, indoors, cluttered])
]
# Table: IMG_OBJ_ATT
[
(IMG_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(ATT_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(OBJ_SAMPLE_ID:INTEGER, Primary Key, Examples: [21, 22, 23])
]
# Table: IMG_OBJ
[
(IMG_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(OBJ_SAMPLE_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(OBJ_CLASS_ID:INTEGER, Examples: [298, 246, 293]),
(X:INTEGER, Examples: [0, 78, 1]),
(Y:INTEGER, Examples: [0, 308, 283]),
(W:INTEGER, Examples: [799, 722, 222]),
(H:INTEGER, Examples: [557, 290, 538])
]
# Table: OBJ_CLASSES
[
(OBJ_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(OBJ_CLASS:TEXT, Examples: [awning, goggles, dot])
]
# Table: IMG_REL
[
(IMG_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(PRED_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(OBJ1_SAMPLE_ID:INTEGER, Primary Key, Examples: [13, 12, 4]),
(OBJ2_SAMPLE_ID:INTEGER, Primary Key, Examples: [1, 34, 5])
]
# Table: PRED_CLASSES
[
(PRED_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(PRED_CLASS:TEXT, Examples: [playing on, looking a, to left of])
]
【Foreign keys】
IMG_OBJ_ATT.ATT_CLASS_ID=ATT_CLASSES.ATT_CLASS_ID
IMG_OBJ_ATT.IMG_ID=IMG_OBJ.IMG_ID
IMG_OBJ_ATT.OBJ_SAMPLE_ID=IMG_OBJ.OBJ_SAMPLE_ID
IMG_OBJ.OBJ_CLASS_ID=OBJ_CLASSES.OBJ_CLASS_ID
IMG_REL.PRED_CLASS_ID=PRED_CLASSES.PRED_CLASS_ID
IMG_REL.IMG_ID=IMG_OBJ.IMG_ID
IMG_REL.OBJ1_SAMPLE_ID=IMG_OBJ.OBJ_SAMPLE_ID
IMG_REL.IMG_ID=IMG_OBJ.IMG_ID
IMG_REL.OBJ2_SAMPLE_ID=IMG_OBJ.OBJ_SAMPLE_ID

    【Question】
    What is the percentage of the object samples in the class of "man" in image no.1? object samples refers to OBJ_SAMPLE_ID; class of "man" refers to OBJ_CLASS = 'man'; image no.1 refers to IMG_ID = 1; percentage = divide(count(OBJ_SAMPLE_ID)when OBJ_CLASS = 'man', count(OBJ_SAMPLE_ID)) as percentage

    【Evidence】
    object samples refers to OBJ_SAMPLE_ID; class of "man" refers to OBJ_CLASS = 'man'; image no.1 refers to IMG_ID = 1; percentage = divide(count(OBJ_SAMPLE_ID)when OBJ_CLASS = 'man', count(OBJ_SAMPLE_ID)) as percentage

    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 T1.OBJ_CLASS = 'man' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.OBJ_CLASS_ID) FROM OBJ_CLASSES AS T1 INNER JOIN IMG_OBJ AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.IMG_ID = 1
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 image_and_language
【Schema】
# Table: ATT_CLASSES
[
(ATT_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(ATT_CLASS:TEXT, Examples: [building s, indoors, cluttered])
]
# Table: IMG_OBJ_ATT
[
(IMG_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(ATT_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(OBJ_SAMPLE_ID:INTEGER, Primary Key, Examples: [21, 22, 23])
]
# Table: IMG_OBJ
[
(IMG_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(OBJ_SAMPLE_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(OBJ_CLASS_ID:INTEGER, Examples: [298, 246, 293]),
(X:INTEGER, Examples: [0, 78, 1]),
(Y:INTEGER, Examples: [0, 308, 283]),
(W:INTEGER, Examples: [799, 722, 222]),
(H:INTEGER, Examples: [557, 290, 538])
]
# Table: OBJ_CLASSES
[
(OBJ_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(OBJ_CLASS:TEXT, Examples: [awning, goggles, dot])
]
# Table: IMG_REL
[
(IMG_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(PRED_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(OBJ1_SAMPLE_ID:INTEGER, Primary Key, Examples: [13, 12, 4]),
(OBJ2_SAMPLE_ID:INTEGER, Primary Key, Examples: [1, 34, 5])
]
# Table: PRED_CLASSES
[
(PRED_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(PRED_CLASS:TEXT, Examples: [playing on, looking a, to left of])
]
【Foreign keys】
IMG_OBJ_ATT.ATT_CLASS_ID=ATT_CLASSES.ATT_CLASS_ID
IMG_OBJ_ATT.IMG_ID=IMG_OBJ.IMG_ID
IMG_OBJ_ATT.OBJ_SAMPLE_ID=IMG_OBJ.OBJ_SAMPLE_ID
IMG_OBJ.OBJ_CLASS_ID=OBJ_CLASSES.OBJ_CLASS_ID
IMG_REL.PRED_CLASS_ID=PRED_CLASSES.PRED_CLASS_ID
IMG_REL.IMG_ID=IMG_OBJ.IMG_ID
IMG_REL.OBJ1_SAMPLE_ID=IMG_OBJ.OBJ_SAMPLE_ID
IMG_REL.IMG_ID=IMG_OBJ.IMG_ID
IMG_REL.OBJ2_SAMPLE_ID=IMG_OBJ.OBJ_SAMPLE_ID

    【Question】
    State the total number of the attribute classes. attribute classes refers to ATT_CLASS

    【Evidence】
    attribute classes refers to ATT_CLASS

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

SQL: SELECT COUNT(ATT_CLASS_ID) FROM ATT_CLASSES
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 image_and_language
【Schema】
# Table: ATT_CLASSES
[
(ATT_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(ATT_CLASS:TEXT, Examples: [building s, indoors, cluttered])
]
# Table: IMG_OBJ_ATT
[
(IMG_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(ATT_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(OBJ_SAMPLE_ID:INTEGER, Primary Key, Examples: [21, 22, 23])
]
# Table: IMG_OBJ
[
(IMG_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(OBJ_SAMPLE_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(OBJ_CLASS_ID:INTEGER, Examples: [298, 246, 293]),
(X:INTEGER, Examples: [0, 78, 1]),
(Y:INTEGER, Examples: [0, 308, 283]),
(W:INTEGER, Examples: [799, 722, 222]),
(H:INTEGER, Examples: [557, 290, 538])
]
# Table: OBJ_CLASSES
[
(OBJ_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(OBJ_CLASS:TEXT, Examples: [awning, goggles, dot])
]
# Table: IMG_REL
[
(IMG_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(PRED_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(OBJ1_SAMPLE_ID:INTEGER, Primary Key, Examples: [13, 12, 4]),
(OBJ2_SAMPLE_ID:INTEGER, Primary Key, Examples: [1, 34, 5])
]
# Table: PRED_CLASSES
[
(PRED_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(PRED_CLASS:TEXT, Examples: [playing on, looking a, to left of])
]
【Foreign keys】
IMG_OBJ_ATT.ATT_CLASS_ID=ATT_CLASSES.ATT_CLASS_ID
IMG_OBJ_ATT.IMG_ID=IMG_OBJ.IMG_ID
IMG_OBJ_ATT.OBJ_SAMPLE_ID=IMG_OBJ.OBJ_SAMPLE_ID
IMG_OBJ.OBJ_CLASS_ID=OBJ_CLASSES.OBJ_CLASS_ID
IMG_REL.PRED_CLASS_ID=PRED_CLASSES.PRED_CLASS_ID
IMG_REL.IMG_ID=IMG_OBJ.IMG_ID
IMG_REL.OBJ1_SAMPLE_ID=IMG_OBJ.OBJ_SAMPLE_ID
IMG_REL.IMG_ID=IMG_OBJ.IMG_ID
IMG_REL.OBJ2_SAMPLE_ID=IMG_OBJ.OBJ_SAMPLE_ID

    【Question】
    How many object classes are there in the database? object classes refers to OBJ_CLASS

    【Evidence】
    object classes refers to OBJ_CLASS

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

SQL: SELECT COUNT(OBJ_CLASS_ID) FROM OBJ_CLASSES
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 image_and_language
【Schema】
# Table: ATT_CLASSES
[
(ATT_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(ATT_CLASS:TEXT, Examples: [building s, indoors, cluttered])
]
# Table: IMG_OBJ_ATT
[
(IMG_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(ATT_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(OBJ_SAMPLE_ID:INTEGER, Primary Key, Examples: [21, 22, 23])
]
# Table: IMG_OBJ
[
(IMG_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(OBJ_SAMPLE_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(OBJ_CLASS_ID:INTEGER, Examples: [298, 246, 293]),
(X:INTEGER, Examples: [0, 78, 1]),
(Y:INTEGER, Examples: [0, 308, 283]),
(W:INTEGER, Examples: [799, 722, 222]),
(H:INTEGER, Examples: [557, 290, 538])
]
# Table: OBJ_CLASSES
[
(OBJ_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(OBJ_CLASS:TEXT, Examples: [awning, goggles, dot])
]
# Table: IMG_REL
[
(IMG_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(PRED_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(OBJ1_SAMPLE_ID:INTEGER, Primary Key, Examples: [13, 12, 4]),
(OBJ2_SAMPLE_ID:INTEGER, Primary Key, Examples: [1, 34, 5])
]
# Table: PRED_CLASSES
[
(PRED_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(PRED_CLASS:TEXT, Examples: [playing on, looking a, to left of])
]
【Foreign keys】
IMG_OBJ_ATT.ATT_CLASS_ID=ATT_CLASSES.ATT_CLASS_ID
IMG_OBJ_ATT.IMG_ID=IMG_OBJ.IMG_ID
IMG_OBJ_ATT.OBJ_SAMPLE_ID=IMG_OBJ.OBJ_SAMPLE_ID
IMG_OBJ.OBJ_CLASS_ID=OBJ_CLASSES.OBJ_CLASS_ID
IMG_REL.PRED_CLASS_ID=PRED_CLASSES.PRED_CLASS_ID
IMG_REL.IMG_ID=IMG_OBJ.IMG_ID
IMG_REL.OBJ1_SAMPLE_ID=IMG_OBJ.OBJ_SAMPLE_ID
IMG_REL.IMG_ID=IMG_OBJ.IMG_ID
IMG_REL.OBJ2_SAMPLE_ID=IMG_OBJ.OBJ_SAMPLE_ID

    【Question】
    Provide the number of predicted classes. predicted classes refers to PRED_CLASS

    【Evidence】
    predicted classes refers to PRED_CLASS

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

SQL: SELECT COUNT(PRED_CLASS_ID) FROM PRED_CLASSES
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 image_and_language
【Schema】
# Table: ATT_CLASSES
[
(ATT_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(ATT_CLASS:TEXT, Examples: [building s, indoors, cluttered])
]
# Table: IMG_OBJ_ATT
[
(IMG_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(ATT_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(OBJ_SAMPLE_ID:INTEGER, Primary Key, Examples: [21, 22, 23])
]
# Table: IMG_OBJ
[
(IMG_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(OBJ_SAMPLE_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(OBJ_CLASS_ID:INTEGER, Examples: [298, 246, 293]),
(X:INTEGER, Examples: [0, 78, 1]),
(Y:INTEGER, Examples: [0, 308, 283]),
(W:INTEGER, Examples: [799, 722, 222]),
(H:INTEGER, Examples: [557, 290, 538])
]
# Table: OBJ_CLASSES
[
(OBJ_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(OBJ_CLASS:TEXT, Examples: [awning, goggles, dot])
]
# Table: IMG_REL
[
(IMG_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(PRED_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(OBJ1_SAMPLE_ID:INTEGER, Primary Key, Examples: [13, 12, 4]),
(OBJ2_SAMPLE_ID:INTEGER, Primary Key, Examples: [1, 34, 5])
]
# Table: PRED_CLASSES
[
(PRED_CLASS_ID:INTEGER, Primary Key, Examples: [0, 1, 2]),
(PRED_CLASS:TEXT, Examples: [playing on, looking a, to left of])
]
【Foreign keys】
IMG_OBJ_ATT.ATT_CLASS_ID=ATT_CLASSES.ATT_CLASS_ID
IMG_OBJ_ATT.IMG_ID=IMG_OBJ.IMG_ID
IMG_OBJ_ATT.OBJ_SAMPLE_ID=IMG_OBJ.OBJ_SAMPLE_ID
IMG_OBJ.OBJ_CLASS_ID=OBJ_CLASSES.OBJ_CLASS_ID
IMG_REL.PRED_CLASS_ID=PRED_CLASSES.PRED_CLASS_ID
IMG_REL.IMG_ID=IMG_OBJ.IMG_ID
IMG_REL.OBJ1_SAMPLE_ID=IMG_OBJ.OBJ_SAMPLE_ID
IMG_REL.IMG_ID=IMG_OBJ.IMG_ID
IMG_REL.OBJ2_SAMPLE_ID=IMG_OBJ.OBJ_SAMPLE_ID

    【Question】
    Give the bounding box of the kite in image no.2324765. bounding box refers to (x, y, W, H); kite refers to OBJ_CLASS = 'kite'; image no.2324765 refers to IMG_ID = 2324765

    【Evidence】
    bounding box refers to (x, y, W, H); kite refers to OBJ_CLASS = 'kite'; image no.2324765 refers to IMG_ID = 2324765

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

SQL: SELECT T2.X, T2.Y, T2.W, T2.H FROM OBJ_CLASSES AS T1 INNER JOIN IMG_OBJ AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.IMG_ID = 2324765 AND T1.OBJ_CLASS = 'kite'