conversations
listlengths 2
2
| source
stringclasses 1
value | score
int64 5
5
|
|---|---|---|
[
{
"from": "human",
"value": "total active farmers in current financial year"
},
{
"from": "gpt",
"value": "SELECT\n COUNT(DISTINCT FARMER_ID) AS total_farmers\nFROM\n t_farmer_transaction\nWHERE\n created_on >= DATE_TRUNC('year', CURRENT_DATE) + INTERVAL '3 months' AND \n created_on <= DATE_TRUNC('year', CURRENT_DATE) + INTERVAL '15 months' - INTERVAL '1 day'\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "Total active farmers in 2023-2024 in bhojpur district"
},
{
"from": "gpt",
"value": "SELECT COUNT(DISTINCT tf.FARMER_ID) AS total_farmers FROM t_farmer_transaction tf\nINNER JOIN m_farmer f ON tf.farmer_id=f.farmer_id\nINNER JOIN mp_cbo_member t ON t.member_id=f.member_id\nINNER JOIN m_cbo c ON c.cbo_id=t.cbo_id\nInner join m_district b on b.district_id=c.district_id\nWhere upper(b.district_Name)='BHOJPUR'\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "Total active farmers in 2023-2024 in hajipur block"
},
{
"from": "gpt",
"value": "SELECT COUNT(DISTINCT tf.FARMER_ID) AS total_farmers FROM t_farmer_transaction tf\nINNER JOIN m_farmer f ON tf.farmer_id=f.farmer_id\nINNER JOIN mp_cbo_member t ON t.member_id=f.member_id\nINNER JOIN m_cbo c ON c.cbo_id=t.cbo_id\nInner join m_block b on b.block_id=c.block_id\nWhere upper(b.block_Name)='HAJIPUR'\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "number of farmers having lease land"
},
{
"from": "gpt",
"value": "SELECT\n COUNT(DISTINCT FARMER_ID) AS farmers_with_lease_land\nFROM\n m_farmer_land\nWHERE\n LANDHOLDINGLEASE > 0"
}
] | 5 |
|
[
{
"from": "human",
"value": "number of farmer having own land"
},
{
"from": "gpt",
"value": "SELECT\n COUNT(DISTINCT FARMER_ID) As val\nFROM\n m_farmer_land\nWHERE\n LANDHOLDINGOWN != 0\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "number of farmer having irrigated land"
},
{
"from": "gpt",
"value": "SELECT\n COUNT(DISTINCT FARMER_ID) As val\nFROM\n m_farmer_land\nWHERE\n Irrigatedland != 0\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "number of farmer having non irrigated land"
},
{
"from": "gpt",
"value": "SELECT\n COUNT(DISTINCT FARMER_ID) As val\nFROM\n m_farmer_land\nWHERE\n NonIrrigatedland != 0\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "no of shg having farmer"
},
{
"from": "gpt",
"value": "select count(distinct shg_id) from t_farmer_transaction"
}
] | 5 |
|
[
{
"from": "human",
"value": "total vo having farmer"
},
{
"from": "gpt",
"value": "select count(distinct vo_id) from t_farmer_transaction"
}
] | 5 |
|
[
{
"from": "human",
"value": "number of active farmers in banka"
},
{
"from": "gpt",
"value": "SELECT\n COUNT(DISTINCT tf.FARMER_ID) AS total_farmers\nFROM\n t_farmer_transaction tf\n \nINNER JOIN m_farmer f ON tf.farmer_id=f.farmer_id\nINNER JOIN mp_cbo_member t ON t.member_id=f.member_id\nINNER JOIN m_cbo c ON c.cbo_id=t.cbo_id\n\n WHERE\n c.DISTRICT_ID = (\n SELECT\n DISTRICT_ID\n FROM\n m_district\n WHERE\n upper(DISTRICT_NAME) = 'BANKA'\n )"
}
] | 5 |
|
[
{
"from": "human",
"value": "count of local seed used by farmer in 2018-2019"
},
{
"from": "gpt",
"value": "select count(distinct farmer_id) as seed_count from t_farmer_transaction ft\ninner join m_farmer_seed s on ft.seed_type_id=s.seed_type_id\nwhere UPPER(s.seed_type)='LOCAL' AND\nft.FY='2018-2019'\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "Total number of farmers used hybrid seeds in 2023-2024 in vaishali district"
},
{
"from": "gpt",
"value": "select count(distinct ft.farmer_id) as seed_count from t_farmer_transaction ft\ninner join m_farmer_seed s on ft.seed_type_id=s.seed_type_id\nINNER JOIN m_farmer t ON ft.FARMER_ID = t.FARMER_ID\nInner JOIN mp_cbo_member m ON t.member_id = m.member_id\nInner JOIN m_cbo cb ON cb.cbo_id = m.cbo_id\nInner join m_district d on d.district_id=cb.district_id\nwhere UPPER(s.seed_type)='HYBRID' \nAND ft.FY='2023-2024'\nAnd upper(d.district_name)='VAISHALI'\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "Total number of farmers used hybrid seeds in 2023-2024 in hajipur block"
},
{
"from": "gpt",
"value": "select count(distinct ft.farmer_id) as seed_count from t_farmer_transaction ft\ninner join m_farmer_seed s on ft.seed_type_id=s.seed_type_id\nINNER JOIN m_farmer t ON ft.FARMER_ID = t.FARMER_ID\nInner JOIN mp_cbo_member m ON t.member_id = m.member_id\nInner JOIN m_cbo cb ON cb.cbo_id = m.cbo_id\nInner join m_block d on d.block_id=cb.block_id\nwhere UPPER(s.seed_type)='HYBRID' \nAND ft.FY='2023-2024'\nAnd upper(d.block_name)='HAJIPUR'\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "count number of farmers grew kharif crops"
},
{
"from": "gpt",
"value": "SELECT\n COUNT(DISTINCT f.FARMER_ID) AS total_farmers\nFROM\n m_farmer f\nINNER JOIN\n t_farmer_transaction t ON f.FARMER_ID = t.FARMER_ID\nWHERE\n t.CROP_TYPE_ID = (\n SELECT\n CROP_TYPE_ID\n FROM\n m_farmer_croptype\n WHERE\n CROP_TYPE = 'Kharif Crops'\n )"
}
] | 5 |
|
[
{
"from": "human",
"value": "count number of farmers under kitchen garden"
},
{
"from": "gpt",
"value": "SELECT COUNT(DISTINCT f.FARMER_ID) AS total_farmers FROM t_farmer_transaction f\nINNER JOIN m_farmer t ON f.FARMER_ID = t.FARMER_ID\nInner join m_farmer_crop c on c.crop_type_id=f.crop_type_id\nWhere upper(c.crop_name)='KITCHEN GARDEN'\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "count number of farmers under kitchen garden in fy 2018-2019"
},
{
"from": "gpt",
"value": "SELECT COUNT(DISTINCT f.FARMER_ID) AS total_farmers FROM t_farmer_transaction f\nINNER JOIN m_farmer t ON f.FARMER_ID = t.FARMER_ID\nInner join m_farmer_crop c on c.crop_type_id=f.crop_type_id\nWhere upper(c.crop_name)='KITCHEN GARDEN'\nand f.FY='2018-2019'\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "Total production of paddy in fy 2018-2019"
},
{
"from": "gpt",
"value": "SELECT COUNT(DISTINCT f.FARMER_ID) AS total_farmers FROM t_farmer_transaction f\nINNER JOIN m_farmer t ON f.FARMER_ID = t.FARMER_ID\nInner join m_farmer_crop c on c.crop_type_id=f.crop_type_id\nWhere upper(c.crop_name)='PADDY'\nand f.FY='2018-2019'\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "count number of farmers under kitchen garden in fy 2018-2019 in Gaya district"
},
{
"from": "gpt",
"value": "SELECT COUNT(DISTINCT f.FARMER_ID) AS total_farmers FROM t_farmer_transaction f\nINNER JOIN m_farmer t ON f.FARMER_ID = t.FARMER_ID\nInner join m_farmer_crop c on c.crop_type_id=f.crop_type_id\nInner JOIN mp_cbo_member m ON t.member_id = m.member_id\nInner JOIN m_cbo cb ON cb.cbo_id = m.cbo_id\nInner join m_district d on d.district_id=cb.district_id\nWhere upper(c.crop_name)='KITCHEN GARDEN'\nand f.FY='2018-2019' and \nupper(d.district_name)='GAYA'\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "count number of farmers grew kharif crops in fy 2018-2019"
},
{
"from": "gpt",
"value": "SELECT COUNT(DISTINCT f.FARMER_ID) AS total_farmers\nFROM m_farmer f\nINNER JOIN t_farmer_transaction t ON f.FARMER_ID = t.FARMER_ID\nWHERE t.CROP_TYPE_ID = (\n SELECT CROP_TYPE_ID FROM m_farmer_croptype\n WHERE CROP_TYPE = 'Kharif Crops' and \n t.FY='2018-2019')\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "how many farmers are in green gram crop in vaishali."
},
{
"from": "gpt",
"value": "SELECT\n COUNT(DISTINCT tf.FARMER_ID) AS total_farmers\nFROM\n t_farmer_transaction tf\nLEFT JOIN \n m_farmer f ON tf.farmer_id = f.farmer_id\nLEFT JOIN \n mp_cbo_member t ON t.member_id = f.member_id\nLEFT JOIN \n m_cbo c ON c.cbo_id = t.cbo_id\nWHERE\n c.DISTRICT_ID = (\n SELECT\n DISTRICT_ID\n FROM\n m_district\n WHERE\n UPPER(DISTRICT_NAME) = 'VAISHALI'\n )\n AND tf.CROP_TYPE_ID = (\n SELECT\n CROP_TYPE_ID\n FROM\n M_FARMER_CROPTYPE\n WHERE\n UPPER(CROP_TYPE) = 'GREEN GRAM'\n );\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "total count of agri enterprenure"
},
{
"from": "gpt",
"value": "select count(id) from profile_entry"
}
] | 5 |
|
[
{
"from": "human",
"value": "Total No.of AE registered till now"
},
{
"from": "gpt",
"value": "select count(id) from profile_entry"
}
] | 5 |
|
[
{
"from": "human",
"value": "total count of agri enterprenure in ARWAL district"
},
{
"from": "gpt",
"value": "select count(id) from profile_entry\nWhere upper(district_name)='ARWAL'\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "Total number of farmers registered related to AE in arwal district"
},
{
"from": "gpt",
"value": "select count(id) from profile_entry\nWhere upper(district_name)='ARWAL'\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "No.of AE registered in ARWAL district"
},
{
"from": "gpt",
"value": "select count(id) from profile_entry\nWhere upper(district_name)='ARWAL'\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "total count of agri enterprenure in 2024"
},
{
"from": "gpt",
"value": "SELECT COUNT(id) \nFROM profile_entry \nWHERE EXTRACT(YEAR FROM date_of_joining) = 2024"
}
] | 5 |
|
[
{
"from": "human",
"value": "total expenditure amount of agri enterprenures"
},
{
"from": "gpt",
"value": "select sum(amount) from t_expenditure_details t \njoin profile_entry p on p.person_id=t.ae_id\nWhere p.district_name is not null\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "total expenditure amount of agri enterprenures in ARWAL district"
},
{
"from": "gpt",
"value": "select sum(amount) from t_expenditure_details t \njoin profile_entry p on p.person_id=t.ae_id\nWhere upper(p.district_name)='ARWAL'\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "total sell grain amount of agri enterprenures"
},
{
"from": "gpt",
"value": "select sum(t.total_amount) from t_sell_grain t \nInner join profile_entry p on p.person_id = t.entry_by\nwhere p.district_name is not null\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "total sell grain amount of agri enterprenures in Patna district"
},
{
"from": "gpt",
"value": "select sum(t.total_amount) from t_sell_grain t \nInner join profile_entry p on p.person_id = t.entry_by\nwhere upper(p.district_name)='PATNA'\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "Total active enterprenure in agri input activity"
},
{
"from": "gpt",
"value": "select count(distinct t.entry_by) from t_agri_input t\nInner join profile_entry p on p.person_id = t.entry_by\nwhere t.entry_by is not null\nand p.district_name is not null\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "Total AE providing Agri Input services"
},
{
"from": "gpt",
"value": "select count(distinct t.entry_by) from t_agri_input t\nInner join profile_entry p on p.person_id = t.entry_by\nwhere t.entry_by is not null\nand p.district_name is not null\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "Total entrepreneurs doing agri input"
},
{
"from": "gpt",
"value": "select count(distinct t.entry_by) from t_agri_input t\nInner join profile_entry p on p.person_id = t.entry_by\nwhere t.entry_by is not null\nand p.district_name is not null\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "total farmers Registered with AE"
},
{
"from": "gpt",
"value": "select count(distinct t.entry_by) from t_agri_input t\nInner join profile_entry p on p.person_id = t.entry_by\nwhere t.entry_by is not null\nand p.district_name is not null\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "Total active enterprenure in agri input activity in NALANDA district"
},
{
"from": "gpt",
"value": "select count(distinct t.entry_by) from t_agri_input t\nInner join profile_entry p on p.person_id = t.entry_by\nwhere t.entry_by is not null\nand upper(p.district_name)='NALANDA'\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "Number of active enterprenure in advisory farmer activity"
},
{
"from": "gpt",
"value": "select COUNT(DISTINCT CASE WHEN t.entry_by = p.person_id THEN p.person_id END) from profile_entry p\nLEFT JOIN t_advisory_farmer_entry t ON p.person_id = t.entry_by\nWHERE p.person_id IS NOT NULL\nand p.district_name is not null\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "Total active enterprenure in advisory farmer activity"
},
{
"from": "gpt",
"value": "select COUNT(DISTINCT CASE WHEN t.entry_by = p.person_id THEN p.person_id END) from profile_entry p\nLEFT JOIN t_advisory_farmer_entry t ON p.person_id = t.entry_by\nWHERE p.person_id IS NOT NULL\nand p.district_name is not null\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "no of active enterprenure in advisory farmer activity in Nalanda district"
},
{
"from": "gpt",
"value": "select COUNT(DISTINCT CASE WHEN t.entry_by = p.person_id THEN p.person_id END) from profile_entry p\nLEFT JOIN t_advisory_farmer_entry t ON p.person_id = t.entry_by\nWHERE p.person_id IS NOT NULL\nand upper(p.district_name)='NALANDA'\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "No of AE providing advisory services in vaishali district"
},
{
"from": "gpt",
"value": "select COUNT(DISTINCT CASE WHEN t.entry_by = p.person_id THEN p.person_id END) from profile_entry p\nLEFT JOIN t_advisory_farmer_entry t ON p.person_id = t.entry_by\nWHERE p.person_id IS NOT NULL\nand upper(p.district_name)='VAISHALI'\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "no of active enterprenure in marketing services activity"
},
{
"from": "gpt",
"value": "select count(distinct t.entry_by) from t_marketing_services t\nInner join profile_entry p on t.entry_by=p.person_id\nwhere t.entry_by is not null\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "Total AE providing marketing services"
},
{
"from": "gpt",
"value": "select count(distinct t.entry_by) from t_marketing_services t\nInner join profile_entry p on t.entry_by=p.person_id\nwhere t.entry_by is not null\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "no of active enterprenure in marketing services activity in Nalanda district"
},
{
"from": "gpt",
"value": "select count(distinct t.entry_by) from t_marketing_services t\nInner join profile_entry p on t.entry_by=p.person_id\nwhere t.entry_by is not null\nand upper(p.district_name)='NALANDA'\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "no of active enterprenure in digital banking activity"
},
{
"from": "gpt",
"value": "select count(distinct t.entry_by) from t_digital_banking t\nInner join profile_entry p on p.person_id = t.entry_by\nwhere t.entry_by is not null\nand p.district_name is not null\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "no of active enterprenure in digital banking activity in Adapur block"
},
{
"from": "gpt",
"value": "select count(distinct t.entry_by) from t_digital_banking t\nInner join profile_entry p on p.person_id = t.entry_by\nwhere t.entry_by is not null\nand upper(p.block_name)='ADAPUR'\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "no of active enterprenure in nursery services activity"
},
{
"from": "gpt",
"value": "select count(distinct t.entry_by) from t_nursery_services t\nInner join profile_entry p on p.person_id = t.entry_by\n where t.entry_by is not null and \n p.district_name is not null\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "Total AE providing nursery services"
},
{
"from": "gpt",
"value": "select count(distinct t.entry_by) from t_nursery_services t\nInner join profile_entry p on p.person_id = t.entry_by\n where t.entry_by is not null and \n p.district_name is not null\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "no of active enterprenure in nursery services activity in Nalanda district"
},
{
"from": "gpt",
"value": "select count(distinct t.entry_by) from t_nursery_services t\nInner join profile_entry p on p.person_id = t.entry_by\n where t.entry_by is not null and \n upper(p.district_name)='NALANDA'\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "District wise agri enterprenures "
},
{
"from": "gpt",
"value": "SELECT pe.district_name, \n COUNT(DISTINCT CASE WHEN ai.entry_by = pe.person_id THEN pe.person_id END) +\n COUNT(DISTINCT CASE WHEN afe.entry_by = pe.person_id THEN pe.person_id END) +\n COUNT(DISTINCT CASE WHEN ms.entry_by = pe.person_id THEN pe.person_id END) +\n COUNT(DISTINCT CASE WHEN db.entry_by = pe.person_id THEN pe.person_id END) +\n COUNT(DISTINCT CASE WHEN ns.entry_by = pe.person_id THEN pe.person_id END) AS total_active_entrepreneurs\nFROM profile_entry pe\nLEFT JOIN t_agri_input ai ON pe.person_id = ai.entry_by\nLEFT JOIN t_advisory_farmer_entry afe ON pe.person_id = afe.entry_by\nLEFT JOIN t_marketing_services ms ON pe.person_id = ms.entry_by\nLEFT JOIN t_digital_banking db ON pe.person_id = db.entry_by\nLEFT JOIN t_nursery_services ns ON pe.person_id = ns.entry_by\nWHERE pe.person_id IS NOT NULL\nGROUP BY pe.district_name"
}
] | 5 |
|
[
{
"from": "human",
"value": "total count of chc"
},
{
"from": "gpt",
"value": "select count(distinct id) from m_chc_details "
}
] | 5 |
|
[
{
"from": "human",
"value": "total chc in bihar"
},
{
"from": "gpt",
"value": "select count(distinct id) from m_chc_details "
}
] | 5 |
|
[
{
"from": "human",
"value": "total count of chc in Arwal district"
},
{
"from": "gpt",
"value": "select count(distinct c.id) from m_chc_details c\ninner join m_district d on d.district_id=c.district_id\nwhere upper(d.district_name)='ARWAL'\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "total active chc in Muzaffarpur district"
},
{
"from": "gpt",
"value": "select count(distinct c.id) from m_chc_details c\ninner join m_district d on d.district_id=c.district_id\nwhere upper(d.district_name)='MUZAFFARPUR' and is_active='A'\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "total count of chc in Amas block"
},
{
"from": "gpt",
"value": "select count(distinct c.id) from m_chc_details c\ninner join m_block b on b.block_id=c.block_id\nwhere upper(b.block_name)='AMAS'\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "total active chc"
},
{
"from": "gpt",
"value": "select count(distinct chc_id) from t_farmer_booking"
}
] | 5 |
|
[
{
"from": "human",
"value": "total no. of active chc"
},
{
"from": "gpt",
"value": "select count(distinct chc_id) from t_farmer_booking"
}
] | 5 |
|
[
{
"from": "human",
"value": "how many service booking completed by farmer?"
},
{
"from": "gpt",
"value": "select count(distinct booking_id) from t_farmer_booking where service_completed_status=1"
}
] | 5 |
|
[
{
"from": "human",
"value": "give me total expenditure details of chc"
},
{
"from": "gpt",
"value": "select sum(amount) from t_chc_expenditure_details"
}
] | 5 |
|
[
{
"from": "human",
"value": "how much expenditure pay this financial year"
},
{
"from": "gpt",
"value": "SELECT\n SUM(amount)\nFROM\n t_chc_expenditure_details\nWHERE\nexp_date between '2023-04-01' and '2024-03-31'"
}
] | 5 |
|
[
{
"from": "human",
"value": "give me total revenue generated of chc"
},
{
"from": "gpt",
"value": "select sum(total_amount) from t_freight_details"
}
] | 5 |
|
[
{
"from": "human",
"value": "show me the top 30 chc in profit"
},
{
"from": "gpt",
"value": "with sale_exp_data as (\n select chc_id, entry_Date, -1*amount as profit\n from t_chc_expenditure_details\n union\n select chc_id, entry_Date, total_amount as profit\n from t_freight_details\n )\n\nselect a.chc_name\n, sum(b.profit) as profit\nfrom m_chc_details a\njoin sale_exp_data b on a.id = b.chc_id\ngroup by 1\norder by sum(b.profit) desc\nlimit 30\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "give me number of machines used in chc"
},
{
"from": "gpt",
"value": "select count(id) from m_machine"
}
] | 5 |
|
[
{
"from": "human",
"value": "machines used in hours"
},
{
"from": "gpt",
"value": "select sum(total_area_or_hour) from t_freight_details t\ninner join m_chc_details mc on t.chc_id=mc.id\ninner join m_machine m on m.id=t.machine_id\nwhere mc.district_id is not null\nand m.machine_name is not null\nand upper(t.unit_type)='HOUR'"
}
] | 5 |
|
[
{
"from": "human",
"value": "total hours served through CHC"
},
{
"from": "gpt",
"value": "select sum(total_area_or_hour) from t_freight_details t\ninner join m_chc_details mc on t.chc_id=mc.id\ninner join m_machine m on m.id=t.machine_id\nwhere mc.district_id is not null\nand m.machine_name is not null\nand upper(t.unit_type)='HOUR'"
}
] | 5 |
|
[
{
"from": "human",
"value": "machines used in kathas"
},
{
"from": "gpt",
"value": "select sum(total_area_or_hour) from t_freight_details t\ninner join m_chc_details mc on t.chc_id=mc.id\ninner join m_machine m on m.id=t.machine_id\nwhere mc.district_id is not null\nand m.machine_name is not null\nand upper(t.unit_type)='KATTHA'"
}
] | 5 |
|
[
{
"from": "human",
"value": "total booking done by farmers"
},
{
"from": "gpt",
"value": "select count(booking_id) from t_farmer_booking tf\ninner join m_district d on tf.district_id=d.district_id\nwhere d.district_name is not null"
}
] | 5 |
|
[
{
"from": "human",
"value": "total booking done by farmers in nawada"
},
{
"from": "gpt",
"value": "select count(booking_id) from t_farmer_booking tf\ninner join m_district d on tf.district_id=d.district_id\nwhere upper(d.district_name)='NAWADA'"
}
] | 5 |
|
[
{
"from": "human",
"value": "how many farmers are in green gram crop in vaishali"
},
{
"from": "gpt",
"value": "SELECT COUNT(DISTINCT tf.FARMER_ID) AS total_farmers\nFROM t_farmer_transaction tf \ninner JOIN m_farmer f ON tf.farmer_id=f.farmer_id\ninner JOIN mp_cbo_member t ON t.member_id=f.member_id\ninner JOIN m_cbo c ON c.cbo_id=t.cbo_id\ninner join m_district d on c.district_id = d.district_id\ninner join M_FARMER_CROP e on tf.crop_type_id = e.crop_type_id\nWHERE upper(d.DISTRICT_NAME) = 'VAISHALI'\nand upper(e.CROP_name) = 'GREEN GRAM'"
}
] | 5 |
|
[
{
"from": "human",
"value": "number of farmers in different pest treatment category"
},
{
"from": "gpt",
"value": "select mf.treatment, count(distinct tf.farmer_id) from t_farmer_transaction tf\ninner join t_mp_farmer_transaction_pest tm\non tf.transaction_id=tm.transaction_id\ninner join m_farmer_pest_management mf\non mf.p_treatment_id=tm.p_treatment_id\ngroup by mf.treatment"
}
] | 5 |
|
[
{
"from": "human",
"value": "total quantity of neera sold"
},
{
"from": "gpt",
"value": "SELECT \n SUM(fresh_neera) + SUM(temp_sell_center_sold_neera) + SUM(compfed) + SUM(perm_sell_center_sold_neera) AS total_sum\nFROM neera_selling\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "total neera sold on 10 June 2024"
},
{
"from": "gpt",
"value": "SELECT \n SUM(fresh_neera) + SUM(temp_sell_center_sold_neera) + SUM(compfed) + SUM(perm_sell_center_sold_neera) AS total_sum\nFROM neera_selling\nwhere selling_date='2024-06-10'\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "total quantity of neera sold in Vaishali"
},
{
"from": "gpt",
"value": "select SUM(s.fresh_neera) + SUM(s.temp_sell_center_sold_neera) + SUM(s.compfed) + SUM(s.perm_sell_center_sold_neera) AS total_sum\nfrom Neera_selling s\nInner join m_pg d On s.district_id=d.district_id\nWhere upper(d.district_Name)='VAISHALI'\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "quantity of neera collected"
},
{
"from": "gpt",
"value": "select sum(quantity) from neera_collection "
}
] | 5 |
|
[
{
"from": "human",
"value": "total amount of neera collected"
},
{
"from": "gpt",
"value": "select sum(quantity) from neera_collection "
}
] | 5 |
|
[
{
"from": "human",
"value": "total amount of neera collection in Vaishali district"
},
{
"from": "gpt",
"value": "select sum(quantity) from neera_collection\nwhere upper(district_name)='VAISHALI'\n "
}
] | 5 |
|
[
{
"from": "human",
"value": "total neera collection in Mahua block"
},
{
"from": "gpt",
"value": "select sum(quantity) from neera_collection\nwhere upper(block_name)='MAHUA'\n "
}
] | 5 |
|
[
{
"from": "human",
"value": "group of neera production"
},
{
"from": "gpt",
"value": "select count(id) from m_pg where bank_ac_number is not null and upper(is_active)='Y'"
}
] | 5 |
|
[
{
"from": "human",
"value": "total pg formed in neera in 2017"
},
{
"from": "gpt",
"value": "select count(id) from m_pg where bank_ac_number is not null and upper(is_active)='Y'\nand extract(year from formation_date)='2017'\n "
}
] | 5 |
|
[
{
"from": "human",
"value": "total neera groups"
},
{
"from": "gpt",
"value": "select count(id) from m_pg where bank_ac_number is not null and upper(is_active)='Y'"
}
] | 5 |
|
[
{
"from": "human",
"value": "Number of neera pg"
},
{
"from": "gpt",
"value": "select count(pg_id) from m_pg where is_active='Y'"
}
] | 5 |
|
[
{
"from": "human",
"value": "Total neera pg"
},
{
"from": "gpt",
"value": "select count(pg_id) from m_pg where is_active='Y'"
}
] | 5 |
|
[
{
"from": "human",
"value": "Total tappers"
},
{
"from": "gpt",
"value": "select count(total_tappers) from neera_selling\nWhere district_Name IS NOT NULL\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "Total no. of Neera tappers"
},
{
"from": "gpt",
"value": "select count(total_tappers) from neera_selling\nWhere district_Name IS NOT NULL\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "Count of total tappers trained"
},
{
"from": "gpt",
"value": "select sum(count_tappers_trained) from training_status\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "Count of total tappers identified"
},
{
"from": "gpt",
"value": "select sum(count_tappers_identified) from training_status \n"
}
] | 5 |
|
[
{
"from": "human",
"value": "Count of total tappers identified in fy 2022-2023"
},
{
"from": "gpt",
"value": "select sum(count_tappers_identified) from training_status\nwhere ts_date between '2022-04-01' AND '2023-03-31'\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "total tappers trained from 1 april 2024 to 1 june 2024"
},
{
"from": "gpt",
"value": "select sum(count_tappers_trained) from training_status\nwhere ts_date between '2022-04-01' AND '2022-06-01'\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "total tappers trained in 2023"
},
{
"from": "gpt",
"value": "select sum(count_tappers_trained) from training_status\nwhere Extract(year from ts_date)= '2023'\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "Count of total tappers received license"
},
{
"from": "gpt",
"value": "select sum(count_tappers_rec_license) from training_status \n"
}
] | 5 |
|
[
{
"from": "human",
"value": "Total number of libraries in didi ki library"
},
{
"from": "gpt",
"value": "select count(distinct clcdc_id) from m_clcdc where clcdc_name is not null and district_id is not null"
}
] | 5 |
|
[
{
"from": "human",
"value": "Total number of vidyadidi"
},
{
"from": "gpt",
"value": "select count(distinct id) from t_vidya_didi where district_name is not null"
}
] | 5 |
|
[
{
"from": "human",
"value": "Total number of learners"
},
{
"from": "gpt",
"value": "select count(distinct registration_no) from t_learner_profile where district_name is not null"
}
] | 5 |
|
[
{
"from": "human",
"value": "how many learners in savitri library "
},
{
"from": "gpt",
"value": "select count(distinct registration_no) from t_learner_profile tl\ninner join m_clcdc cl on cl.clcdc_id=tl.clcdc_id\nwhere upper(cl.clcdc_name)='SAVITRI'"
}
] | 5 |
|
[
{
"from": "human",
"value": "Total number of libraries district wise"
},
{
"from": "gpt",
"value": "SELECT m.district_name, COUNT(DISTINCT cl.clcdc_id)\nFROM m_clcdc cl\nINNER JOIN m_district m ON cl.district_id = m.district_id\nWHERE cl.clcdc_name IS NOT NULL AND m.district_id IS NOT NULL\nGROUP BY m.district_name"
}
] | 5 |
|
[
{
"from": "human",
"value": "Total vidya didi district wise"
},
{
"from": "gpt",
"value": "SELECT m.district_name, count(distinct id) from t_vidya_didi t\nINNER JOIN m_district m ON t.district_id = m.district_id\nGROUP BY m.district_name;"
}
] | 5 |
|
[
{
"from": "human",
"value": "total count of nursery till now"
},
{
"from": "gpt",
"value": "SELECT (\n SELECT COUNT(DISTINCT id) FROM mp_nursery_fy\n) +\n(\n SELECT COUNT(DISTINCT id) FROM profile_entry_2\n) AS total_count"
}
] | 5 |
|
[
{
"from": "human",
"value": "total Didi ki nursery"
},
{
"from": "gpt",
"value": "SELECT (\n SELECT COUNT(DISTINCT id) FROM mp_nursery_fy\n) +\n(\n SELECT COUNT(DISTINCT id) FROM profile_entry_2\n) AS total_count"
}
] | 5 |
|
[
{
"from": "human",
"value": "total Didi ki nursery in Gaya district"
},
{
"from": "gpt",
"value": " SELECT (\n SELECT COUNT(DISTINCT a.id)\n FROM mp_nursery_fy a\n INNER JOIN m_district d ON a.district_id = d.district_id\n WHERE UPPER(d.district_name) = 'GAYA'\n) +\n(\n SELECT COUNT(DISTINCT b.id)\n FROM profile_entry_2 b\n INNER JOIN m_district d ON b.district_id = d.district_id\n WHERE UPPER(d.district_name) = 'GAYA'\n) AS total_count\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "District wise Didi ki nursery"
},
{
"from": "gpt",
"value": " SELECT district_name, SUM(total_count) AS total_count\nFROM (\n SELECT d.district_name, COUNT(DISTINCT a.id) AS total_count\n FROM mp_nursery_fy a\n INNER JOIN m_district d ON a.district_id = d.district_id\n GROUP BY d.district_name\n\n UNION ALL\n\n SELECT d.district_name, COUNT(DISTINCT b.id) AS total_count\n FROM profile_entry_2 b\n INNER JOIN m_district d ON b.district_id = d.district_id\n GROUP BY d.district_name\n) AS subquery\nGROUP BY subquery.district_name\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "total Didi ki nursery in Arwal block"
},
{
"from": "gpt",
"value": " SELECT (\n SELECT COUNT(DISTINCT a.id)\n FROM mp_nursery_fy a\n INNER JOIN m_block d ON a.block_id = d.block_id\n WHERE UPPER(d.block_name) = 'ARWAL'\n) +\n(\n SELECT COUNT(DISTINCT b.id)\n FROM profile_entry_2 b\n INNER JOIN m_block d ON b.block_id = d.block_id\n WHERE UPPER(d.block_name) = 'ARWAL'\n) AS total_count\n"
}
] | 5 |
|
[
{
"from": "human",
"value": "total count of nursery in 2023-2024"
},
{
"from": "gpt",
"value": "SELECT (\n SELECT COUNT(DISTINCT id)\n FROM mp_nursery_fy\n WHERE fy = '2023-2024'\n) +\n(\n SELECT COUNT(DISTINCT id)\n FROM profile_entry_2\n\twhere financial_year_name='2023-2024'\n) AS total_count"
}
] | 5 |
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