Split (1)

train · 108k rows

id stringlengths 19 39	instruction stringlengths 9 251	input stringlengths 0 296	output stringlengths 26 589
publicdata_publicadministration_11280	면적이 평균을 초과하거나 종교에 파슈툰이 들어가는 곳의 한글 국가명을 알려줘	{'token': '파슈툰', 'start': 18, 'column_index': 10}	SELECT T2.KOREAN_NATIONAL_NAME FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T1.AREA > (SELECT AVG(AREA) FROM GENERAL_STS_MOFA_COUNTRY) OR T1.RELIGION LIKE '%파슈툰%'
publicdata_publicadministration_11280	인구가 100000명 미만이거나 민주공화국 형태인 국가의 수도를 찾아줘	{'token': '민주공화국', 'start': 18, 'column_index': 18}, {'token': '100000', 'start': 4, 'column_index': 4}	SELECT T1.CAPITAL FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T2.STATE_FORM = '민주공화국' OR T1.KOREAN_NATIONAL_NAME IN (SELECT KOREAN_NATIONAL_NAME FROM GENERAL_STS_MOFA_COUNTRY WHERE POPULATION < 100000)
publicdata_publicadministration_11280	정부 형태에 대통령이 들어가고 국가 코드가 A로 시작하는 나라의수도를 알려줘	{'token': 'A', 'start': 24, 'column_index': 2}, {'token': '대통령', 'start': 7, 'column_index': 17}	SELECT T1.CAPITAL FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T1.KOREAN_NATIONAL_NAME IN (SELECT KOREAN_NATIONAL_NAME FROM POLITICAL_STS_MOFA_COUNTRY WHERE FORM_GOVERNMENT LIKE '%대통령%') AND T1.COUNTRY_CODE LIKE 'A%'
publicdata_publicadministration_11280	국가 코드가 S로 시작하는 수도를 찾아줘	{'token': 'S', 'start': 7, 'column_index': 2}	SELECT T1.CAPITAL FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T1.KOREAN_NATIONAL_NAME IN (SELECT KOREAN_NATIONAL_NAME FROM POLITICAL_STS_MOFA_COUNTRY WHERE COUNTRY_CODE LIKE 'S%')
publicdata_publicadministration_11280	언어에 포르투갈어가 들어가거나 주요 정당에 국민당이 포함된 곳의 한글 국가명을 보여줘	{'token': '국민당', 'start': 24, 'column_index': 20}, {'token': '포르투갈어', 'start': 4, 'column_index': 8}	SELECT T2.KOREAN_NATIONAL_NAME FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T1.KOREAN_NATIONAL_NAME IN (SELECT KOREAN_NATIONAL_NAME FROM GENERAL_STS_MOFA_COUNTRY WHERE LANGUAGE LIKE '%포르투갈어%') OR T2.MAJOR_POLITICAL_PARTY LIKE '%국민당%...
publicdata_publicadministration_11280	수도가 아로 시작하고 의회 구성이 양원제인 곳의 한글 국가명을 찾아줘	{'token': '아', 'start': 4, 'column_index': 3}, {'token': '양원제', 'start': 19, 'column_index': 19}	SELECT T1.KOREAN_NATIONAL_NAME FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T1.CAPITAL IN (SELECT CAPITAL FROM GENERAL_STS_MOFA_COUNTRY WHERE CAPITAL LIKE '아%') AND T2.COMPOSITION_PARLIAMENT IN (SELECT COMPOSITION_PARLIAMENT FROM PO...
publicdata_publicadministration_11280	국가 코드가 TH이거나 KH이고 국가 형태가 입헌 군주제인 곳의 한글 국가명을 알려줘	{'token': '입헌군주제', 'start': 25, 'column_index': 18}, {'token': 'TH', 'start': 7, 'column_index': 2}, {'token': 'KH', 'start': 13, 'column_index': 2}	SELECT T1.KOREAN_NATIONAL_NAME FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T2.STATE_FORM = '입헌군주제' AND T1.COUNTRY_CODE IN (SELECT COUNTRY_CODE FROM GENERAL_STS_MOFA_COUNTRY WHERE COUNTRY_CODE = 'TH' OR COUNTRY_CODE = 'KH')
publicdata_publicadministration_11280	정부 형태에 책임이 들어가는 국가의 한글 이름을 면적이 넓은 순서대로 나열해 줘	{'token': '책임', 'start': 7, 'column_index': 17}	SELECT T1.KOREAN_NATIONAL_NAME FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T2.FORM_GOVERNMENT IN (SELECT FORM_GOVERNMENT FROM POLITICAL_STS_MOFA_COUNTRY WHERE FORM_GOVERNMENT LIKE '%책임%') ORDER BY T1.AREA DESC
publicdata_publicadministration_11280	언어에 아랍어가 포함되거나 국가 형태가 공화국인 곳의 한글 국가명과 수도를 찾아줘	{'token': '공화국', 'start': 22, 'column_index': 18}, {'token': '아랍어', 'start': 4, 'column_index': 8}	SELECT T1.CAPITAL, T1.KOREAN_NATIONAL_NAME FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T1.KOREAN_NATIONAL_NAME IN (SELECT KOREAN_NATIONAL_NAME FROM GENERAL_STS_MOFA_COUNTRY WHERE LANGUAGE LIKE '%아랍어%') OR T2.STATE_FORM = '공화국'
publicdata_publicadministration_11280	정부 형태가 내각책임제이거나 인구가 평균보다 많은 국가의 수도는 어디야	{'token': '내각책임제', 'start': 7, 'column_index': 17}	SELECT T1.CAPITAL FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T2.FORM_GOVERNMENT = '내각책임제' OR T1.POPULATION > (SELECT AVG(POPULATION) FROM GENERAL_STS_MOFA_COUNTRY)
publicdata_publicadministration_11280	주요 인사에 국가원수가 들어가는 국가의 한글 국가명을 인구가 많은 순부터 나열해 줘	{'token': '국가원수', 'start': 7, 'column_index': 22}	SELECT T1.KOREAN_NATIONAL_NAME FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T2.KOREAN_NATIONAL_NAME IN (SELECT KOREAN_NATIONAL_NAME FROM POLITICAL_STS_MOFA_COUNTRY WHERE MAJOR_FIGURE LIKE '%국가원수%') ORDER BY T1.POPULATION DESC
publicdata_publicadministration_11280	사용 언어에 영어가 들어가고 정부 형태에 대통령이 있는 국가의 수도를 사전 배열순으로 보여줘	{'token': '영어', 'start': 7, 'column_index': 8}, {'token': '대통령', 'start': 23, 'column_index': 17}	SELECT T1.CAPITAL FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T1.LANGUAGE IN (SELECT LANGUAGE FROM GENERAL_STS_MOFA_COUNTRY WHERE LANGUAGE LIKE '%영어%') AND T2.FORM_GOVERNMENT IN (SELECT FORM_GOVERNMENT FROM POLITICAL_STS_MOFA_COUNT...
publicdata_publicadministration_11280	정부 형태에 대통령이 들어가고 면적이 80000 이상인 나라의 수도를 찾아줘	{'token': '80000', 'start': 21, 'column_index': 6}, {'token': '대통령', 'start': 7, 'column_index': 17}	SELECT T1.CAPITAL FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T1.KOREAN_NATIONAL_NAME IN (SELECT KOREAN_NATIONAL_NAME FROM POLITICAL_STS_MOFA_COUNTRY WHERE FORM_GOVERNMENT LIKE '%대통령%') AND T1.AREA >= 80000
publicdata_publicadministration_11280	정부형태에 대통령 중심제가 들어가거나 인구가 천만 명 이상인 국가의 주요 인사를 알려줘	{'token': '대통령 중심제', 'start': 6, 'column_index': 17}, {'token': '천만', 'start': 25, 'column_index': 4}	SELECT T2.MAJOR_FIGURE FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T1.KOREAN_NATIONAL_NAME IN (SELECT KOREAN_NATIONAL_NAME FROM POLITICAL_STS_MOFA_COUNTRY WHERE FORM_GOVERNMENT LIKE '%대통령 중심제%') OR T1.POPULATION >= 10000000
publicdata_publicadministration_11280	정부형태가 내각책임제이거나 종교에 파슈툰이 들어가는 국가의 한글명은 뭐야	{'token': '파슈툰', 'start': 19, 'column_index': 10}, {'token': '내각책임제', 'start': 6, 'column_index': 17}	SELECT T1.KOREAN_NATIONAL_NAME FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T1.KOREAN_NATIONAL_NAME IN (SELECT KOREAN_NATIONAL_NAME FROM GENERAL_STS_MOFA_COUNTRY WHERE RELIGION LIKE '%파슈툰%') OR T2.KOREAN_NATIONAL_NAME IN (SELECT KOR...
publicdata_publicadministration_11280	형태가 민주공화국이거나 면적이 1000000 이상인 국가의 주요 인사를 알려줘	{'token': '1000000', 'start': 17, 'column_index': 6}, {'token': '민주공화국', 'start': 4, 'column_index': 18}	SELECT T2.MAJOR_FIGURE FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T1.KOREAN_NATIONAL_NAME IN (SELECT KOREAN_NATIONAL_NAME FROM POLITICAL_STS_MOFA_COUNTRY WHERE STATE_FORM = '민주공화국') OR T1.AREA >= 1000000
publicdata_publicadministration_11280	주요 인사에 원수가 들어가는 국가의 한글 국가명을 찾아줘	{'token': '원수', 'start': 7, 'column_index': 22}	SELECT T1.KOREAN_NATIONAL_NAME FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T2.MAJOR_FIGURE IN (SELECT MAJOR_FIGURE FROM POLITICAL_STS_MOFA_COUNTRY WHERE MAJOR_FIGURE LIKE '%원수%')
publicdata_publicadministration_11280	정부 형태가 내각책임제이고 면적이 80000 이상인 국가의 주요 인사를 알려줘	{'token': '80000', 'start': 19, 'column_index': 6}, {'token': '내각책임제', 'start': 7, 'column_index': 17}	SELECT T2.MAJOR_FIGURE FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T1.KOREAN_NATIONAL_NAME IN (SELECT KOREAN_NATIONAL_NAME FROM POLITICAL_STS_MOFA_COUNTRY WHERE FORM_GOVERNMENT = '내각책임제') AND T1.AREA >= 80000
publicdata_publicadministration_11280	의회 구성에 단원제가 들어가고 정부 형태에 대통령이 있는 국가의 한글 국가명을 알려줘	{'token': '단원제', 'start': 7, 'column_index': 19}, {'token': '대통령', 'start': 24, 'column_index': 17}	SELECT T1.KOREAN_NATIONAL_NAME FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T2.COMPOSITION_PARLIAMENT IN (SELECT COMPOSITION_PARLIAMENT FROM POLITICAL_STS_MOFA_COUNTRY WHERE COMPOSITION_PARLIAMENT LIKE '%단원제%' AND FORM_GOVERNMENT LI...
publicdata_publicadministration_11280	인구가 100000명 이하인 나라의 한글 국가명을 알려줘	{'token': '100000', 'start': 4, 'column_index': 4}	SELECT T1.KOREAN_NATIONAL_NAME FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T1.POPULATION IN (SELECT POPULATION FROM GENERAL_STS_MOFA_COUNTRY WHERE POPULATION <= 100000)
publicdata_publicadministration_11280	인구가 10만 명 이상이고 언어에 스페인어가 들어가는 국가의 한글 국가명을 중복되지 않게 보여줘	{'token': '스페인어', 'start': 19, 'column_index': 8}, {'token': '10만', 'start': 4, 'column_index': 4}	SELECT DISTINCT T1.KOREAN_NATIONAL_NAME FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T1.POPULATION >= 100000 AND T1.LANGUAGE IN (SELECT LANGUAGE FROM GENERAL_STS_MOFA_COUNTRY WHERE LANGUAGE LIKE '%스페인어%')
publicdata_publicadministration_11280	수도가 산살바도르이거나 바쿠인 국가의 한글명을 알려줘	{'token': '산살바도르', 'start': 4, 'column_index': 3}, {'token': '바쿠', 'start': 13, 'column_index': 3}	SELECT T1.KOREAN_NATIONAL_NAME FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T1.CAPITAL IN (SELECT CAPITAL FROM GENERAL_STS_MOFA_COUNTRY WHERE CAPITAL LIKE '%산살바도르%') OR T1.CAPITAL IN (SELECT CAPITAL FROM GENERAL_STS_MOFA_COUNTRY WHE...
publicdata_publicadministration_11280	의회 구성에 단원제가 들어가고 인구가 2000000명 이상인 국가의 수도를 알려줘	{'token': '2000000', 'start': 21, 'column_index': 4}, {'token': '단원제', 'start': 7, 'column_index': 19}	SELECT T1.CAPITAL FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T1.KOREAN_NATIONAL_NAME IN (SELECT KOREAN_NATIONAL_NAME FROM POLITICAL_STS_MOFA_COUNTRY WHERE COMPOSITION_PARLIAMENT LIKE '%단원제%') AND T1.POPULATION >= 2000000
publicdata_publicadministration_11280	정부 형태가 의원내각제인 국가의 수도를 찾아줘	{'token': '의원내각제', 'start': 7, 'column_index': 17}	SELECT T1.CAPITAL FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T1.KOREAN_NATIONAL_NAME IN (SELECT KOREAN_NATIONAL_NAME FROM POLITICAL_STS_MOFA_COUNTRY WHERE FORM_GOVERNMENT LIKE '%의원내각제%')
publicdata_publicadministration_11280	기후에 몬순이 들어가거나 아랍어를 사용하는 곳의 한글 국가명과 국가 코드를 보여줘	{'token': '아랍어', 'start': 14, 'column_index': 8}, {'token': '몬순', 'start': 4, 'column_index': 11}	SELECT T2.COUNTRY_CODE, T2.KOREAN_NATIONAL_NAME FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T1.KOREAN_NATIONAL_NAME IN (SELECT KOREAN_NATIONAL_NAME FROM GENERAL_STS_MOFA_COUNTRY WHERE LANGUAGE LIKE '%아랍어%' OR CLIMATE LIKE '%몬순%')
publicdata_publicadministration_11280	정부 형태가 내각책임제인 국가의 한글 국가명을 알려줘	{'token': '내각책임제', 'start': 7, 'column_index': 17}	SELECT T1.KOREAN_NATIONAL_NAME FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T1.KOREAN_NATIONAL_NAME IN (SELECT KOREAN_NATIONAL_NAME FROM POLITICAL_STS_MOFA_COUNTRY WHERE FORM_GOVERNMENT = '내각책임제')
publicdata_publicadministration_11280	국가형태에 공화국이 들어가고 민족에 이슬람교가 들어가는 곳의 영문 국가명과 수도를 알려줘	{'token': '이슬람교', 'start': 20, 'column_index': 9}, {'token': '공화국', 'start': 6, 'column_index': 18}	SELECT T1.ENGLISH_COUNTRY_NAME, T1.CAPITAL FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T2.STATE_FORM IN (SELECT STATE_FORM FROM POLITICAL_STS_MOFA_COUNTRY WHERE STATE_FORM LIKE '%공화국%') AND T1.ETHNIC_GROUP LIKE '%이슬람교%'
publicdata_publicadministration_11280	종교에 흑인이 있는 국가 현황의 한글 국가명을 알려줘	{'token': '흑인', 'start': 4, 'column_index': 10}	SELECT T1.KOREAN_NATIONAL_NAME FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T1.RELIGION IN (SELECT RELIGION FROM GENERAL_STS_MOFA_COUNTRY WHERE RELIGION LIKE '%흑인%')
publicdata_publicadministration_11280	의회 구성에 단원제가 들어가고 면적 설명에 한반도가 들어가는 국가의 수도를 알려줘	{'token': '한반도', 'start': 24, 'column_index': 7}, {'token': '단원제', 'start': 7, 'column_index': 19}	SELECT T1.CAPITAL FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T1.KOREAN_NATIONAL_NAME IN (SELECT KOREAN_NATIONAL_NAME FROM POLITICAL_STS_MOFA_COUNTRY WHERE COMPOSITION_PARLIAMENT LIKE '%단원제%') AND T1.AREA_DESCRIPTION LIKE '%한반도%'
publicdata_publicadministration_11280	정부 형태가 내각책임제이며 인구가 1억명 이상인 나라의 수도를 알려줘	{'token': '1억', 'start': 19, 'column_index': 4}, {'token': '내각책임제', 'start': 7, 'column_index': 17}	SELECT T1.CAPITAL FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T2.KOREAN_NATIONAL_NAME IN (SELECT KOREAN_NATIONAL_NAME FROM POLITICAL_STS_MOFA_COUNTRY WHERE FORM_GOVERNMENT LIKE '%내각책임제%') AND T1.POPULATION >= 100000000
publicdata_publicadministration_11280	정부 형태에 대통령이 들어가거나 인구가 2000000명 이상인 국가의 수도를 알려줘	{'token': '2000000', 'start': 22, 'column_index': 4}, {'token': '대통령', 'start': 7, 'column_index': 17}	SELECT T1.CAPITAL FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T1.KOREAN_NATIONAL_NAME IN (SELECT KOREAN_NATIONAL_NAME FROM POLITICAL_STS_MOFA_COUNTRY WHERE FORM_GOVERNMENT LIKE '%대통령%') OR T1.POPULATION >= 2000000
publicdata_publicadministration_11280	정부 형태에 중심이 들어가는 국가의 수도를 가나다 역순으로 보여줘	{'token': '중심', 'start': 7, 'column_index': 17}	SELECT T1.CAPITAL FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T2.FORM_GOVERNMENT LIKE '%중심%' ORDER BY T1.CAPITAL DESC
publicdata_publicadministration_11280	주요 인사에 티모가 들어가거나 마틴이 들어간 국가의 한글명을 알려줘	{'token': '티모', 'start': 7, 'column_index': 22}, {'token': '마틴', 'start': 17, 'column_index': 22}	SELECT T1.KOREAN_NATIONAL_NAME FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T2.MAJOR_FIGURE IN (SELECT MAJOR_FIGURE FROM POLITICAL_STS_MOFA_COUNTRY WHERE MAJOR_FIGURE LIKE '%티모%') OR T2.MAJOR_FIGURE IN (SELECT MAJOR_FIGURE FROM POLI...
publicdata_publicadministration_11280	인구가 평균 이하이거나 주요 인사에 여왕이 들어가는 국가의 한국 이름을 면적이 넓은 순서대로 보여줘	{'token': '여왕', 'start': 20, 'column_index': 22}	SELECT T1.KOREAN_NATIONAL_NAME FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T1.POPULATION <= (SELECT AVG(POPULATION) FROM GENERAL_STS_MOFA_COUNTRY) OR T2.MAJOR_FIGURE LIKE '%여왕%' ORDER BY T1.AREA DESC
publicdata_publicadministration_11280	정부 형태가 내각책임제이거나 기후가 건조한 국가의 한글명을 알려줘	{'token': '건조', 'start': 20, 'column_index': 11}, {'token': '내각책임제', 'start': 7, 'column_index': 17}	SELECT T1.KOREAN_NATIONAL_NAME FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T2.FORM_GOVERNMENT IN (SELECT FORM_GOVERNMENT FROM POLITICAL_STS_MOFA_COUNTRY WHERE FORM_GOVERNMENT LIKE '%내각책임제%') OR T1.CLIMATE LIKE '%건조%'
publicdata_publicadministration_11280	정부 형태가 내각책임제이면서 의회 구성이 양원제를 채택한 국가의 수도를 알려줘	{'token': '내각책임제', 'start': 7, 'column_index': 17}, {'token': '양원제', 'start': 23, 'column_index': 19}	SELECT T1.CAPITAL FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T2.FORM_GOVERNMENT IN (SELECT FORM_GOVERNMENT FROM POLITICAL_STS_MOFA_COUNTRY WHERE FORM_GOVERNMENT = '내각책임제') AND T2.COMPOSITION_PARLIAMENT IN (SELECT COMPOSITION_PARLI...
publicdata_publicadministration_11280	정부형태에 내각책임제가 들어가거나 인구 수나 면적이 평균 이상인 국가의 수도를 보여줘	{'token': '내각책임제', 'start': 6, 'column_index': 17}	SELECT T1.CAPITAL FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T2.FORM_GOVERNMENT LIKE '%내각책임제%' OR T1.POPULATION >= (SELECT AVG(POPULATION) FROM GENERAL_STS_MOFA_COUNTRY) AND T1.AREA >= (SELECT AVG(AREA) FROM GENERAL_STS_MOFA_COUNT...
publicdata_publicadministration_11280	정치 현황에서 국가 코드가 S로 시작하고 국가 형태에 대통령이 들어가는 국가의 수도를 알려줘	{'token': 'S', 'start': 15, 'column_index': 2}, {'token': '대통령', 'start': 30, 'column_index': 17}	SELECT T1.CAPITAL FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T1.KOREAN_NATIONAL_NAME IN (SELECT KOREAN_NATIONAL_NAME FROM POLITICAL_STS_MOFA_COUNTRY WHERE COUNTRY_CODE LIKE 'S%' AND FORM_GOVERNMENT LIKE '%대통령%')
publicdata_publicadministration_11280	기후가 열대성이거나 주요 인사에 공석이 들어가는 국가의 한글 이름을 알려줘	{'token': '공석', 'start': 18, 'column_index': 22}, {'token': '열대성', 'start': 4, 'column_index': 11}	SELECT T2.KOREAN_NATIONAL_NAME FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T1.CLIMATE IN (SELECT CLIMATE FROM GENERAL_STS_MOFA_COUNTRY WHERE CLIMATE LIKE '%열대성%') OR T2.MAJOR_FIGURE LIKE '%공석%'
publicdata_publicadministration_11280	언어에 불어가 있는 국가의 수도를 면적이 넓은 순서대로 나열해 줘	{'token': '불어', 'start': 4, 'column_index': 8}	SELECT T1.CAPITAL FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T1.LANGUAGE IN (SELECT LANGUAGE FROM GENERAL_STS_MOFA_COUNTRY WHERE LANGUAGE LIKE '%불어%') ORDER BY AREA DESC
publicdata_publicadministration_11280	국가형태가 공화국인 국가의 수도를 알려줘	{'token': '공화국', 'start': 6, 'column_index': 18}	SELECT T1.CAPITAL FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T1.KOREAN_NATIONAL_NAME IN (SELECT KOREAN_NATIONAL_NAME FROM POLITICAL_STS_MOFA_COUNTRY WHERE STATE_FORM = '공화국')
publicdata_publicadministration_11280	국가 형태가 입헌군주제인 나라의 수도를 알려줘	{'token': '입헌군주제', 'start': 7, 'column_index': 18}	SELECT T1.CAPITAL FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T1.KOREAN_NATIONAL_NAME IN (SELECT KOREAN_NATIONAL_NAME FROM POLITICAL_STS_MOFA_COUNTRY WHERE STATE_FORM = '입헌군주제')
publicdata_publicadministration_11280	인구 수와 면적이 평균 이상이거나 의회 구성에 연방 평의회가 들어간 국가의 수도를 찾아줘	{'token': '연방평의회', 'start': 26, 'column_index': 19}	SELECT T1.CAPITAL FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T2.COMPOSITION_PARLIAMENT LIKE '%연방평의회%' OR T1.AREA >= (SELECT AVG(AREA) FROM GENERAL_STS_MOFA_COUNTRY) AND T1.POPULATION >= (SELECT AVG(POPULATION) FROM GENERAL_STS_MOF...
publicdata_publicadministration_11280	언어에 영어가 들어가고 정부 형태에 의원내각제가 들어가거나 국가 형태가 공화국인 곳의 한글 국가명을 보여줘	{'token': '영어', 'start': 4, 'column_index': 8}, {'token': '공화국', 'start': 40, 'column_index': 18}, {'token': '의원내각제', 'start': 20, 'column_index': 17}	SELECT T1.KOREAN_NATIONAL_NAME FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T2.KOREAN_NATIONAL_NAME IN (SELECT KOREAN_NATIONAL_NAME FROM POLITICAL_STS_MOFA_COUNTRY WHERE STATE_FORM = '공화국' OR FORM_GOVERNMENT LIKE '%의원내각제%') AND T1.L...
publicdata_publicadministration_11280	정부형태가 대통령 중심제이면서 인구가 평균보다 많은 국가의 수도를 알려줘	{'token': '대통령 중심제', 'start': 6, 'column_index': 17}	SELECT T1.CAPITAL FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T2.FORM_GOVERNMENT = '대통령 중심제' AND T1.POPULATION > (SELECT AVG(POPULATION) FROM GENERAL_STS_MOFA_COUNTRY)
publicdata_publicadministration_11280	인구가 인구평균보다 많고 의회구성이 단원제인 국가는 어디야	{'token': '단원제', 'start': 20, 'column_index': 19}	SELECT T1.KOREAN_NATIONAL_NAME FROM GENERAL_STS_MOFA_COUNTRY AS T1 JOIN POLITICAL_STS_MOFA_COUNTRY AS T2 ON T1.KOREAN_NATIONAL_NAME = T2.KOREAN_NATIONAL_NAME WHERE T1.POPULATION > (SELECT AVG(POPULATION) FROM GENERAL_STS_MOFA_COUNTRY) AND T2.COMPOSITION_PARLIAMENT IN (SELECT COMPOSITION_PARLIAMENT FROM POLITICAL_STS_MO...
publicdata_publicadministration_12798	단지명에 서울이 들어가고 약국 명칭에 아리랑이 들어가는 동 이름을 찾아줘	{'token': '서울', 'start': 5, 'column_index': 0}, {'token': '아리랑', 'start': 21, 'column_index': 17}	SELECT T1.SAME_NMW FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.JUST_NMU IN (SELECT JUST_NMU FROM STS_GGIC_APT WHERE JUST_NMU LIKE '%서울%') AND T2.NM_PHARMACYY IN (SELECT NM_PHARMACYY FROM GGIC_PHARMACY_STS WHERE NM_PHARMACYY LIKE '%아리랑%')
publicdata_publicadministration_12798	관리 형태가 위탁인 아파트와 같은 동에 위치하고 소재지 지번에 관고동이 포함된 약국의 이름과 소재지 도로명을 중복 없이 보여줘	{'token': '위탁', 'start': 7, 'column_index': 9}, {'token': '관고동', 'start': 35, 'column_index': 19}	SELECT DISTINCT T2.NM_PHARMACYY, T2.ROAD_NM_LOCB FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.SAME_NMW IN (SELECT SAME_NMW FROM STS_GGIC_APT WHERE MANAGEMENT_TYPED = '위탁') AND T2.NM_PHARMACYY IN (SELECT NM_PHARMACYY FROM GGIC_PHARMACY_STS WHERE LOC_NUMA LIKE '%관고동%')
publicdata_publicadministration_12798	세대수가 평균보다 많은 단지의 이름과 세대수를 보여줘		SELECT T1.JUST_NMU, T1.NUM_HOUSEHOLDSC FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.NUM_HOUSEHOLDSC > (SELECT AVG(NUM_HOUSEHOLDSC) FROM STS_GGIC_APT )
publicdata_publicadministration_12798	소재지 지번에 관고동이 포함된 약국과 같은 동에 위치한 아파트의 사용승인일과 사업승인일을 보여줘		SELECT T1.DT_APPROVAL_USEY, T1.PROJECT_APPROVAL_DTZ FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.SAME_NMW IN (SELECT P_A_B_L FROM GGIC_PHARMACY_STS WHERE LOC_NUMA LIKE '%관고동%')
publicdata_publicadministration_12798	층 수가 5층 보다 높거나 10층 보다 낮은 단지의 이름과 소재지 지번을 알려줘	{'token': '5', 'start': 5, 'column_index': 7}, {'token': '10', 'start': 15, 'column_index': 7}	SELECT T1.JUST_NMU, T2.LOC_NUMA FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.NUM_FLOORSB IN (SELECT NUM_FLOORSB FROM STS_GGIC_APT WHERE NUM_FLOORSB > 5) AND T1.NUM_FLOORSB IN (SELECT NUM_FLOORSB FROM STS_GGIC_APT WHERE NUM_FLOORSB < 10)
publicdata_publicadministration_12798	행정동이 부발읍이고 10층 이상인 아파트의 단지명을 중복 없이 알려줘	{'token': '10', 'start': 11, 'column_index': 7}, {'token': '부발읍', 'start': 5, 'column_index': 16}	SELECT DISTINCT T1.JUST_NMU FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.SAME_NMW IN (SELECT P_A_B_L FROM GGIC_PHARMACY_STS WHERE P_A_B_L = '부발읍') AND T1.NUM_FLOORSB >= 10
publicdata_publicadministration_12798	아파트의 관리 형태가 자치이고 현대약국이 있는 곳의 소재지 지번을 찾아줘	{'token': '현대약국', 'start': 17, 'column_index': 17}, {'token': '자치', 'start': 12, 'column_index': 9}	SELECT T2.LOC_NUMA FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.MANAGEMENT_TYPED IN (SELECT MANAGEMENT_TYPED FROM STS_GGIC_APT WHERE MANAGEMENT_TYPED = '자치') AND T2.NM_PHARMACYY = '현대약국'
publicdata_publicadministration_12798	약국 이름에 대학이 들어가거나 아파트 관리 사무소 연락처에 637이 들어가는 경기도 이천시 아파트의 도로명 주소와 약국 소재지 지번을 찾아줘	{'token': '대학', 'start': 7, 'column_index': 17}, {'token': '637', 'start': 33, 'column_index': 10}	SELECT T1.ROAD_NM_ADDRESSG, T2.LOC_NUMA FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T2.NM_PHARMACYY IN (SELECT NM_PHARMACYY FROM GGIC_PHARMACY_STS WHERE NM_PHARMACYY LIKE '%대학%') OR T1.M_O_C_CV IN (SELECT M_O_C_CV FROM STS_GGIC_APT WHERE M_O_C_CV LIKE '%637%')
publicdata_publicadministration_12798	경기도 이천시 평균 아파트 세대 수보다 많거나 평균 동수보다 많은 아파트 주변의 약국 명칭과 주소 및 전화번호 알려줘		SELECT DISTINCT T2.NM_PHARMACYY, T2.PHONE_NUMZ, T2.ROAD_NM_LOCB FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.NUM_HOUSEHOLDSC >= (SELECT AVG(NUM_HOUSEHOLDSC) FROM STS_GGIC_APT) OR T1.SAME_NUMA >= (SELECT AVG(SAME_NUMA) FROM STS_GGIC_APT)
publicdata_publicadministration_12798	세대 수가 300세대 이상이고 층수가 20층 이하인 아파트가 위치한 곳과 같은 행정동에 있는 약국의 이름과 소재지 지번을 보여줘	{'token': '300', 'start': 6, 'column_index': 8}, {'token': '20', 'start': 21, 'column_index': 7}	SELECT T2.NM_PHARMACYY, T2.LOC_NUMA FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T2.P_A_B_L IN (SELECT SAME_NMW FROM STS_GGIC_APT WHERE NUM_HOUSEHOLDSC >= 300 AND NUM_FLOORSB <= 20)
publicdata_publicadministration_12798	행정동이 부발읍인 약국의 명칭과 도로명 주소를 중복 없이 찾아줘	{'token': '부발읍', 'start': 5, 'column_index': 16}	SELECT DISTINCT T1.ROAD_NM_ADDRESSG, T2.NM_PHARMACYY FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T2.P_A_B_L IN (SELECT P_A_B_L FROM GGIC_PHARMACY_STS WHERE P_A_B_L = '부발읍')
publicdata_publicadministration_12798	의무관리여부가 N이고 약국명칭에 메디칼이 포함될때 아파트 단지명을 중복없이 보여줘	{'token': 'N', 'start': 8, 'column_index': 1}, {'token': '메디칼', 'start': 18, 'column_index': 17}	SELECT DISTINCT T1.JUST_NMU FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.M_M_S_T IN(SELECT M_M_S_T FROM STS_GGIC_APT WHERE M_M_S_T = 'N') AND T2.NM_PHARMACYY IN(SELECT NM_PHARMACYY FROM GGIC_PHARMACY_STS WHERE NM_PHARMACYY LIKE '%메디칼%')
publicdata_publicadministration_12798	세대수가 평균보다 적은 단지의 이름과 위치번지를 보여줘		SELECT T1.JUST_NMU, T1.LOC_ADDRESSX FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.NUM_HOUSEHOLDSC < (SELECT AVG(NUM_HOUSEHOLDSC) FROM STS_GGIC_APT )
publicdata_publicadministration_12798	층수가 20 이상이며 소재지 지번에 관고동이 들어가는 아파트의 세대수를 중복 없이 알려줘	{'token': '20', 'start': 4, 'column_index': 7}, {'token': '관고동', 'start': 20, 'column_index': 19}	SELECT DISTINCT T1.NUM_HOUSEHOLDSC FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.NUM_FLOORSB IN (SELECT NUM_FLOORSB FROM STS_GGIC_APT WHERE NUM_FLOORSB >= 20) AND T2.LOC_NUMA IN (SELECT LOC_NUMA FROM GGIC_PHARMACY_STS WHERE LOC_NUMA LIKE '%관고동%')
publicdata_publicadministration_12798	도로명 주소에 대월면이 들어간 곳의 아파트 단지명과 약국 명칭을 알려줘	{'token': '대월면', 'start': 8, 'column_index': 12}	SELECT T1.JUST_NMU, T2.NM_PHARMACYY FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.ROAD_NM_ADDRESSG IN (SELECT ROAD_NM_ADDRESSG FROM STS_GGIC_APT WHERE ROAD_NM_ADDRESSG LIKE '%대월면%')
publicdata_publicadministration_12798	층수가 35층 이하이거나 세대 수가 평균보다 많은 아파트의 동명과 우편번호를 중복 없이 알려줘	{'token': '35', 'start': 4, 'column_index': 7}	SELECT DISTINCT T1.SAME_NMW, T1.POSTAL_CDH FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.NUM_HOUSEHOLDSC > (SELECT AVG(NUM_HOUSEHOLDSC) FROM STS_GGIC_APT) OR NUM_FLOORSB <= 35
publicdata_publicadministration_12798	세대수가 290세대 이상인 단지의 이름을 중복 없이 가나다 역순으로 나열해 줘	{'token': '290', 'start': 5, 'column_index': 8}	SELECT DISTINCT T1.JUST_NMU FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.NUM_HOUSEHOLDSC IN (SELECT NUM_HOUSEHOLDSC FROM STS_GGIC_APT WHERE NUM_HOUSEHOLDSC >= 290) ORDER BY T1.JUST_NMU DESC
publicdata_publicadministration_12798	세대 수가 평균보다 많은 아파트와 같은 동에 위치한 약국의 소재지 지번과 소재지 도로명을 찾아줘		SELECT T2.LOC_NUMA, T2.ROAD_NM_LOCB FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.NUM_HOUSEHOLDSC > (SELECT AVG(NUM_HOUSEHOLDSC) FROM STS_GGIC_APT)
publicdata_publicadministration_12798	경기도 이천시 아파트 중 주위에 약국이 있고 의무관리 여부가 없는 20층 이상인 곳의 단지명과 약국명은 뭐야	{'token': '20', 'start': 37, 'column_index': 7}	SELECT T1.JUST_NMU, T2.NM_PHARMACYY FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.M_M_S_T = 'N' AND T1.NUM_FLOORSB >= 20
publicdata_publicadministration_12798	도로명 주소에 경충대로가 들어가는 우편번호별로 아파트 단지 수 및 약국 수를 우편번호와 함께 보여줘	{'token': '경충대로', 'start': 8, 'column_index': 12}	SELECT T1.POSTAL_CDH, COUNT(T1.JUST_NMU), COUNT(T2.NM_PHARMACYY) FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.ROAD_NM_ADDRESSG IN (SELECT ROAD_NM_ADDRESSG FROM STS_GGIC_APT WHERE ROAD_NM_ADDRESSG LIKE '%경충대로%') GROUP BY T1.POSTAL_CDH
publicdata_publicadministration_12798	아파트 세대수가 290 이상이고 동수가 8동 이상인 곳과 같은 동네에 있는 약국의 명칭을 가나다순으로 정렬해서 중복 없이 알려줘	{'token': '8', 'start': 22, 'column_index': 6}, {'token': '290', 'start': 9, 'column_index': 8}	SELECT DISTINCT T2.NM_PHARMACYY FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.NUM_HOUSEHOLDSC IN (SELECT NUM_HOUSEHOLDSC FROM STS_GGIC_APT WHERE NUM_HOUSEHOLDSC >= 290) AND T1.SAME_NUMA >= 8 ORDER BY T2.NM_PHARMACYY ASC
publicdata_publicadministration_12798	아파트 관리 사무소의 연락처가 703으로 끝나고 약국의 전화번호에 632가 들어간 곳의 약국 소재지 도로명을 보여줘	{'token': '632', 'start': 37, 'column_index': 18}, {'token': '703', 'start': 17, 'column_index': 10}	SELECT T2.ROAD_NM_LOCB FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.M_O_C_CV IN (SELECT M_O_C_CV FROM STS_GGIC_APT WHERE M_O_C_CV LIKE '%703') AND T2.PHONE_NUMZ LIKE '%632%'
publicdata_publicadministration_12798	마장면에 있는 아파트의 사용 승인일과 사업 승인일이 언제야	{'token': '마장면', 'start': 0, 'column_index': 20}	SELECT T1.DT_APPROVAL_USEY, T1.PROJECT_APPROVAL_DTZ FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.SAME_NMW IN (SELECT P_A_B_L FROM GGIC_PHARMACY_STS WHERE ROAD_NM_LOCB LIKE '%마장면%')
publicdata_publicadministration_12798	세대수가 평균보다 더 많은 곳의 도로명 주소와 우편번호를 찾아줘		SELECT T1.ROAD_NM_ADDRESSG, T1.POSTAL_CDH FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.NUM_HOUSEHOLDSC > (SELECT AVG(NUM_HOUSEHOLDSC) FROM STS_GGIC_APT)
publicdata_publicadministration_12798	소재지 지번에 아파트가 들어가거나 동명이 부발읍인 곳의 약국 명칭을 중복 없이 보여줘	{'token': '부발읍', 'start': 23, 'column_index': 2}, {'token': '아파트', 'start': 8, 'column_index': 19}	SELECT DISTINCT T2.NM_PHARMACYY FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.SAME_NMW IN (SELECT P_A_B_L FROM GGIC_PHARMACY_STS WHERE LOC_NUMA LIKE '%아파트%') OR T1.SAME_NMW = '부발읍'
publicdata_publicadministration_12798	약국이 있는 소재지 도로명에 대월면이 들어가고 아파트 층수가 10층 이상인 곳의 사용승인일과 사업승인일을 알려줘	{'token': '10', 'start': 34, 'column_index': 7}, {'token': '대월면', 'start': 16, 'column_index': 20}	SELECT T1.DT_APPROVAL_USEY, T1.PROJECT_APPROVAL_DTZ FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.SAME_NMW IN (SELECT P_A_B_L FROM GGIC_PHARMACY_STS WHERE ROAD_NM_LOCB LIKE '%대월면%') AND T1.NUM_FLOORSB >= 10
publicdata_publicadministration_12798	아파트 세대수가 세대수 평균보다 많고 이천시 약국 전화번호가 8로 끝나는 곳의 약국 명칭을 중복 없이 보여줘	{'token': '8', 'start': 34, 'column_index': 18}	SELECT DISTINCT T2.NM_PHARMACYY FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.NUM_HOUSEHOLDSC > (SELECT AVG(NUM_HOUSEHOLDSC) FROM STS_GGIC_APT) AND T2.PHONE_NUMZ IN (SELECT PHONE_NUMZ FROM GGIC_PHARMACY_STS WHERE PHONE_NUMZ LIKE '%8')
publicdata_publicadministration_12798	약국이 있는 소재지 지번에 관고동이 들어가고 아파트 세대수가 400세대 이상인 곳의 도로명 주소를 찾아줘	{'token': '400', 'start': 34, 'column_index': 8}	SELECT T1.ROAD_NM_ADDRESSG FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.SAME_NMW IN (SELECT P_A_B_L FROM GGIC_PHARMACY_STS WHERE LOC_NUMA LIKE '%관고동%') AND T1.NUM_HOUSEHOLDSC >= 400
publicdata_publicadministration_12798	관고동에 위치하거나 부발읍에 있는 약국의 명칭을 중복 없이 알려줘	{'token': '부발읍', 'start': 11, 'column_index': 2}, {'token': '관고동', 'start': 0, 'column_index': 19}	SELECT DISTINCT T2.NM_PHARMACYY FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.SAME_NMW IN (SELECT P_A_B_L FROM GGIC_PHARMACY_STS WHERE LOC_NUMA LIKE '%관고동%') OR T1.SAME_NMW LIKE '%부발읍%'
publicdata_publicadministration_12798	명칭에 이천이 들어가는 약국과 세대수가 400세대 이상인 아파트가 있는 지역의 동 이름을 중복되지 않게 알려줘	{'token': '400', 'start': 22, 'column_index': 8}, {'token': '이천', 'start': 4, 'column_index': 17}	SELECT DISTINCT T1.SAME_NMW FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T2.NM_PHARMACYY IN (SELECT NM_PHARMACYY FROM GGIC_PHARMACY_STS WHERE NM_PHARMACYY LIKE '%이천%') AND NUM_HOUSEHOLDSC >= 400
publicdata_publicadministration_12798	약국 전화번호가 2로 끝나고 층수가 20층인 아파트의 우편번호가 뭐야	{'token': '20', 'start': 20, 'column_index': 7}, {'token': '2', 'start': 9, 'column_index': 18}	SELECT T1.POSTAL_CDH FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.SAME_NMW IN (SELECT P_A_B_L FROM GGIC_PHARMACY_STS WHERE PHONE_NUMZ LIKE '%2') AND T1.NUM_FLOORSB = 20
publicdata_publicadministration_12798	세대수가 222세대 이상이거나 전화번호가 0으로 끝나지 않는 곳에 있는 약국의 명칭을 아파트 동수가 많은 순부터 보여줘	{'token': '0', 'start': 23, 'column_index': 18}, {'token': '222', 'start': 5, 'column_index': 8}	SELECT T2.NM_PHARMACYY FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.NUM_HOUSEHOLDSC IN (SELECT NUM_HOUSEHOLDSC FROM STS_GGIC_APT WHERE NUM_HOUSEHOLDSC >= 222) OR T2.PHONE_NUMZ NOT LIKE '%0' ORDER BY T1.SAME_NUMA DESC
publicdata_publicadministration_12798	관고동에 위치하거나 백사면에 있는 아파트의 도로명 주소를 알려줘	{'token': '백사면', 'start': 11, 'column_index': 20}, {'token': '관고동', 'start': 0, 'column_index': 20}	SELECT T1.ROAD_NM_ADDRESSG FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.SAME_NMW IN (SELECT P_A_B_L FROM GGIC_PHARMACY_STS WHERE ROAD_NM_LOCB LIKE '%관고동%') OR T2.ROAD_NM_LOCB LIKE '%백사면%'
publicdata_publicadministration_12798	행정동이 관고동이고 아파트 층수가 20층 이상인 곳의 약국명칭을 알려줘	{'token': '20', 'start': 19, 'column_index': 7}, {'token': '관고동', 'start': 5, 'column_index': 16}	SELECT T2.NM_PHARMACYY FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.SAME_NMW IN (SELECT P_A_B_L FROM GGIC_PHARMACY_STS WHERE P_A_B_L = '관고동') AND T1.NUM_FLOORSB >= 20
publicdata_publicadministration_12798	세대수가 평균 이하이거나 소재지 지번에 대월면이 없는 약국 이름을 겹치지 않게 알려줘	{'token': '대월면', 'start': 22, 'column_index': 19}	SELECT DISTINCT T2.NM_PHARMACYY FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.NUM_HOUSEHOLDSC <= (SELECT AVG(NUM_HOUSEHOLDSC) FROM STS_GGIC_APT) OR T2.LOC_NUMA NOT LIKE '%대월면%'
publicdata_publicadministration_12798	단지 이름에 복합이 들어가는 아파트의 도로명 주소와 이름에 온누리가 포함되는 약국의 소재지 도로명을 찾아줘	{'token': '복합', 'start': 7, 'column_index': 0}, {'token': '온누리', 'start': 33, 'column_index': 17}	SELECT T1.ROAD_NM_ADDRESSG, T2.ROAD_NM_LOCB FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.JUST_NMU IN (SELECT JUST_NMU JUST_NMU FROM STS_GGIC_APT WHERE JUST_NMU LIKE '%복합%') AND T2.NM_PHARMACYY IN (SELECT NM_PHARMACYY FROM GGIC_PHARMACY_STS WHERE NM_PHARMACYY LIKE '%온누리%')
publicdata_publicadministration_12798	세대수가 가장 적으면서 층수가 같은 아파트와 같은 동의 약국 중에서 명칭이 기린으로 시작하는 곳의 소재지 지번을 보여줘	{'token': '기린', 'start': 42, 'column_index': 17}	SELECT DISTINCT T2.LOC_NUMA FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.NUM_FLOORSB = (SELECT MIN(NUM_HOUSEHOLDSC) FROM STS_GGIC_APT) AND T2.NM_PHARMACYY LIKE '기린%'
publicdata_publicadministration_12798	모가면에 위치하거나 30세대 이하인 아파트의 사업 승인일을 중복 없이 보여줘	{'token': '30', 'start': 11, 'column_index': 8}, {'token': '모가면', 'start': 0, 'column_index': 16}	SELECT DISTINCT T1.PROJECT_APPROVAL_DTZ FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.SAME_NMW IN (SELECT P_A_B_L FROM GGIC_PHARMACY_STS WHERE P_A_B_L = '모가면') OR T1.NUM_HOUSEHOLDSC <= 30
publicdata_publicadministration_12798	우편번호가 87로 끝나거나 관리 형태가 자치인 아파트와 같은 동에 위치한 약국의 명칭과 소재지 지번을 보여줘	{'token': '87', 'start': 6, 'column_index': 13}, {'token': '자치', 'start': 22, 'column_index': 9}	SELECT T2.NM_PHARMACYY, T2.LOC_NUMA FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.SAME_NMW IN (SELECT SAME_NMW FROM STS_GGIC_APT WHERE POSTAL_CDH LIKE '%87' OR MANAGEMENT_TYPED = '자치')
publicdata_publicadministration_12798	우편번호가 53으로 끝나는 아파트의 소재지 지번을 찾아줘	{'token': '53', 'start': 6, 'column_index': 13}	SELECT T2.LOC_NUMA FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.POSTAL_CDH IN (SELECT POSTAL_CDH FROM STS_GGIC_APT WHERE POSTAL_CDH LIKE '%53')
publicdata_publicadministration_12798	소재지 도로명에 중리천로가 들어가거나 중리동에 있는 약국의 명칭을 중복 없이 찾아줘	{'token': '중리동', 'start': 21, 'column_index': 2}, {'token': '중리천로', 'start': 9, 'column_index': 20}	SELECT DISTINCT T2.NM_PHARMACYY FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.SAME_NMW IN (SELECT P_A_B_L FROM GGIC_PHARMACY_STS WHERE ROAD_NM_LOCB LIKE '%중리천로%') OR T1.SAME_NMW = '중리동'
publicdata_publicadministration_12798	동수가 5개 이상이고 층수는 20층 이상인 아파트 중 관리 형태가 위탁관리인 아파트의 도로명 주소를 중복 없이 나타내줘	{'token': '위탁', 'start': 37, 'column_index': 9}, {'token': '5', 'start': 4, 'column_index': 6}, {'token': '20', 'start': 16, 'column_index': 7}	SELECT DISTINCT T1.ROAD_NM_ADDRESSG FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.SAME_NMW IN (SELECT SAME_NMW FROM STS_GGIC_APT WHERE SAME_NUMA >= 5 AND NUM_FLOORSB >= 20 AND MANAGEMENT_TYPED = '위탁')
publicdata_publicadministration_12798	행정동이 관고동인 아파트의 단지명과 도로명 주소를 보여줘	{'token': '관고동', 'start': 5, 'column_index': 16}	SELECT T1.ROAD_NM_ADDRESSG, T1.JUST_NMU FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T2.P_A_B_L IN (SELECT P_A_B_L FROM GGIC_PHARMACY_STS WHERE P_A_B_L LIKE '%관고동%')
publicdata_publicadministration_12798	층수나 세대수가 가장 적은 아파트와 같은 행정동에 위치한 약국의 소재지 지번과 소재지 도로명을 보여줘		SELECT T2.LOC_NUMA, T2.ROAD_NM_LOCB FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.NUM_HOUSEHOLDSC = (SELECT MIN(NUM_HOUSEHOLDSC) FROM STS_GGIC_APT) OR T1.NUM_FLOORSB = (SELECT MIN(NUM_FLOORSB) FROM STS_GGIC_APT)
publicdata_publicadministration_12798	아파트 층수가 평균 이하이거나 주소에 101이 들어가는 약국의 명칭을 세대수가 많은 순부터 보여줘	{'token': '101', 'start': 21, 'column_index': 20}	SELECT T2.NM_PHARMACYY FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.NUM_FLOORSB <= (SELECT AVG(NUM_FLOORSB) FROM STS_GGIC_APT) OR T2.ROAD_NM_LOCB LIKE '%101%' ORDER BY T1.NUM_HOUSEHOLDSC DESC
publicdata_publicadministration_12798	백사면이나 안흥동에 있는 약국의 이름을 중복 없이 보여줘	{'token': '안흥동', 'start': 6, 'column_index': 2}, {'token': '백사면', 'start': 0, 'column_index': 16}	SELECT DISTINCT T2.NM_PHARMACYY FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.SAME_NMW IN (SELECT P_A_B_L FROM GGIC_PHARMACY_STS WHERE P_A_B_L = '백사면') OR T1.SAME_NMW = '안흥동'
publicdata_publicadministration_12798	도로명 주소에 마장면이 들어가는 약국의 명칭을 가나다순으로 보여줘	{'token': '마장면', 'start': 8, 'column_index': 12}	SELECT T2.NM_PHARMACYY FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.ROAD_NM_ADDRESSG IN (SELECT ROAD_NM_ADDRESSG FROM STS_GGIC_APT WHERE ROAD_NM_ADDRESSG LIKE '%마장면%') ORDER BY T2.NM_PHARMACYY
publicdata_publicadministration_12798	한마음아파트가 있는 동에 위치한 약국의 명칭을 알려줘	{'token': '한마음아파트', 'start': 0, 'column_index': 0}	SELECT T2.NM_PHARMACYY FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.SAME_NMW IN (SELECT SAME_NMW FROM STS_GGIC_APT WHERE JUST_NMU = '한마음아파트')
publicdata_publicadministration_12798	관리 사무소 연락처가 3으로 끝나고 우편번호가 2로 끝나는 아파트와 같은 행정동에 있는 약국의 명칭을 가나다 역순으로 정렬해서 보여줘	{'token': '3', 'start': 12, 'column_index': 10}	SELECT DISTINCT T2.NM_PHARMACYY FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.POSTAL_CDH IN (SELECT POSTAL_CDH FROM STS_GGIC_APT WHERE POSTAL_CDH LIKE '%2') OR T1.M_O_C_CV LIKE '%3' ORDER BY T2.NM_PHARMACYY DESC
publicdata_publicadministration_12798	위치 번 지에 오천리가 들어가거나 우편번호가 72로 끝나는 아파트와 같은 동에 위치한 약국의 명칭을 찾아줘	{'token': '72', 'start': 25, 'column_index': 13}, {'token': '오천리', 'start': 8, 'column_index': 3}	SELECT T2.NM_PHARMACYY FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.SAME_NMW IN (SELECT SAME_NMW FROM STS_GGIC_APT WHERE POSTAL_CDH LIKE '%72' OR LOC_ADDRESSX LIKE '%오천리%')
publicdata_publicadministration_12798	관리 형태가 사업자 관리이고 세대수가 가장 적은 아파트와 같은 동에 위치한 약국의 명칭을 가나다순으로 중복 없이 보여줘	{'token': '사업자관리', 'start': 7, 'column_index': 9}	SELECT DISTINCT T2.NM_PHARMACYY FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.NUM_HOUSEHOLDSC = (SELECT MIN(NUM_HOUSEHOLDSC) FROM STS_GGIC_APT) AND T1.MANAGEMENT_TYPED = '사업자관리' ORDER BY T2.NM_PHARMACYY
publicdata_publicadministration_12798	전화번호가 8로 끝나거나 송정동에 있는 약국의 명칭이 뭐야	{'token': '송정동', 'start': 14, 'column_index': 2}, {'token': '8', 'start': 6, 'column_index': 18}	SELECT T2.NM_PHARMACYY FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.SAME_NMW IN (SELECT P_A_B_L FROM GGIC_PHARMACY_STS WHERE PHONE_NUMZ LIKE '%8') OR T1.SAME_NMW = '송정동'
publicdata_publicadministration_12798	소재지 도로명에 백사면이 들어가거나 부발읍에 위치한 약국의 이름을 중복 없이 보여줘	{'token': '부발읍', 'start': 20, 'column_index': 2}, {'token': '백사면', 'start': 9, 'column_index': 20}	SELECT DISTINCT T2.NM_PHARMACYY FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T1.SAME_NMW IN (SELECT P_A_B_L FROM GGIC_PHARMACY_STS WHERE ROAD_NM_LOCB LIKE '%백사면%') OR T1.SAME_NMW = '부발읍'
publicdata_publicadministration_12798	세대 수가 247세대 이하이거나 도로명에 101이 들어가는 약국의 이름을 중복 없이 찾아줘	{'token': '247', 'start': 6, 'column_index': 8}, {'token': '101', 'start': 23, 'column_index': 20}	SELECT DISTINCT T2.NM_PHARMACYY FROM STS_GGIC_APT AS T1 JOIN GGIC_PHARMACY_STS AS T2 ON T1.SAME_NMW = T2.P_A_B_L WHERE T2.ROAD_NM_LOCB IN (SELECT ROAD_NM_LOCB FROM GGIC_PHARMACY_STS WHERE ROAD_NM_LOCB LIKE '%101%') OR T1.NUM_HOUSEHOLDSC <= 247

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