### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_1_vat, client, item_1_qty, seller, client_tax_id, total_vat, item_1_net_price.
 This is the Text: ice_no 59336079 invoice_date 01/09/2012 seller Perry Brown and Hudson 2180 Huffman Curve Jackville ND 19375 client Rogers-Brown USS Kaufman FPO AP 23378 seller_tax_id 914-78-6724 client_tax_id 955-90-1162 iban GB73RSAW75064180740470 item_1_desc 3000 PLR Articles 20 E-books + More item_1_qty 1 item_1_net_price $1.99 item_1_net_worth $1.99 item_1_vat 10% item_1_gross_worth $2.19  total_net_worth $1.99 total_vat  $0.20 total_gross_worth  $2.19.
### Response:{'Parameters': ['item_1_vat', 'client', 'item_1_qty', 'seller', 'client_tax_id', 'total_vat', 'item_1_net_price'], 'Values': ['10%', 'Rogers-Brown USS Kaufman FPO AP 23378', '1', 'Perry', '955-90-1162', '$0.20', '$1.99']}
{'Parameters': ['item_1_vat', 'client', 'item_1_qty', 'seller', 'client_tax_id', 'total_vat', 'item_1_net_price'], 'Values': ['10%', 'Rogers-Brown USS Kaufman FPO AP 23378', '1', 'Perry', '955-90-1162', '$0.20', '$1.99']}
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_1_vat, client, item_1_qty, seller, client_tax_id, total_vat, item_1_net_price.
 This is the Text: ice_no 59336079 invoice_date 01/09/2012 seller Perry Brown and Hudson 2180 Huffman Curve Jackville ND 19375 client Rogers-Brown USS Kaufman FPO AP 23378 seller_tax_id 914-78-6724 client_tax_id 955-90-1162 iban GB73RSAW75064180740470 item_1_desc 3000 PLR Articles 20 E-books + More item_1_qty 1 item_1_net_price $1.99 item_1_net_worth $1.99 item_1_vat 10% item_1_gross_worth $2.19 total_net_worth $1.99 total_vat $0.20 total_gross_worth $2.19.
### Instruction:You are a useful assistant who should extract fitting values of given parameters from a bigger text. Answer as concisely as possible and provide your response as a JSON object with the following schema:{"Parameters":["","",...] , "Values": ["", "", ...]}.
### Input:These are the parameters: item_1_vat, client, item_1_qty, seller, client_tax_id, total_vat, item_1_net_price.
 This is the Text: ice_no 59336079 invoice_date 01/09/2012 seller Perry Brown and Hudson 2180 Huffman Curve Jackville ND 19375 client Rogers-Brown USS Kaufman FPO AP 23378 seller_tax_id 914-78-6724 client_tax_id 955-90-1162 iban GB73RSAW75064180740470 item_1_desc 3000 PLR Articles 20 E-books + More item_1_qty 1 item_1_net_price $1.99 item_1_net_worth $1.99 item_1_vat 10% item_1_gross_worth $2.19 total_net_worth $1.99 total_vat $0.20 total_gross_worth $2.19.
### Response: {'Parameters': ['item_1_vat', 'client', 'item_1_qty', 'seller', 'client_tax_id', 'total_vat', 'item_1_net_price'], 'Values': ['10%', 'Rogers-Brown USS Kaufman FPO AP 23378', '1', 'Perry', '955-90-1162', '$0.20',