### 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_net_worth, total_vat, item_2_net_worth, ice_no, client, item_1_qty, item_1_gross_worth, iban, client_tax_id, item_2_net_price, item_1_vat.
 This is the Text: ice_no 34528548 invoice_date 11/02/2015 seller Garcia Stewart and Payne USCGC Frank FPO AE 30049 client Huerta Ltd 74501 Andrea Streets Suite 854 Kaitlyntown AL 90639 seller_tax_id 949-78-5411 client_tax_id 972-74-2815 iban GB60LA0W81233191361598 item_1_desc Dell Desktop Computers 0 Core i5 16GB 2TB HD 512GB SSD 0 Windows 10 PC 22LCD item_1_qty 2 item_1_net_price $139.95 item_1_net_worth $279.90 item_1_vat 10% item_1_gross_worth $307.89  item_2_desc Dell Optiplex Desktop Computer with Dual 19 LCD Monitors Windows 10 Pro item_2_qty 3 item_2_net_price $149.95 item_2_net_worth $449.85 item_2_vat 10% item_2_gross_worth $494.83  total_net_worth $729.75 total_vat $72.98 total_gross_worth  $802.73.
### Response:{'Parameters': ['item_1_net_worth', 'total_vat', 'item_2_net_worth', 'ice_no', 'client', 'item_1_qty', 'item_1_gross_worth', 'iban', 'client_tax_id', 'item_2_net_price', 'item_1_vat'], 'Values': ['$279.90', '$72.98', '$449.85', '34528548', 'Huerta Ltd 74501 Andrea Streets Suite 854 Kaitlyntown', '2', '$307.89', 'GB60LA0W81233191361598', '972-74-2815', '$149.95', '10%']}
{'Parameters': ['item_1_net_worth', 'total_vat', 'item_2_net_worth', 'ice_no', 'client', 'item_1_qty', 'item_1_gross_worth', 'iban', 'client_tax_id', 'item_2_net_price', 'item_1_vat'], 'Values': ['$279.90', '$72.98', '$449.85', '34528548', 'Huerta Ltd 74501 Andrea Streets Suite 854 Kaitlyntown', '2', '$307.89', 'GB60LA0W81233191361598', '972-74-2815', '$149.95', '10%']}
### 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_net_worth, total_vat, item_2_net_worth, ice_no, client, item_1_qty, item_1_gross_worth, iban, client_tax_id, item_2_net_price, item_1_vat.
 This is the Text: ice_no 34528548 invoice_date 11/02/2015 seller Garcia Stewart and Payne USCGC Frank FPO AE 30049 client Huerta Ltd 74501 Andrea Streets Suite 854 Kaitlyntown AL 90639 seller_tax_id 949-78-5411 client_tax_id 972-74-2815 iban GB60LA0W81233191361598 item_1_desc Dell Desktop Computers 0 Core i5 16GB 2TB HD 512GB SSD 0 Windows 10 PC 22LCD item_1_qty 2 item_1_net_price $139.95 item_1_net_worth $279.90 item_1_vat 10% item_1_gross_worth $307.89 item_2_desc Dell Optiplex Desktop Computer with Dual 19 LCD Monitors Windows 10 Pro item_2_qty 3 item_2_net_price $149.95 item_2_net_worth $449.85 item_2_vat 10% item_2_gross_worth $494.83 total_net_worth $729.75 total_vat $72.98 total_gross_worth $802.73.
### 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_net_worth, total_vat, item_2_net_worth, ice_no, client, item_1_qty, item_1_gross_worth, iban, client_tax_id, item_2_net_price, item_1_vat.
 This is the Text: ice_no 34528548 invoice_date 11/02/2015 seller Garcia Stewart and Payne USCGC Frank FPO AE 30049 client Huerta Ltd 74501 Andrea Streets Suite 854 Kaitlyntown AL 90639 seller_tax_id 949-78-5411 client_tax_id 972-74-2815 iban GB60LA0W81233191361598 item_1_desc Dell Desktop Computers 0 Core i5 16GB 2TB HD 512GB SSD 0 Windows 10 PC 22LCD item_1_qty 2 item_1_net_price $139.95 item_1_net_worth $279.90 item_1_vat 10% item_1_gross_worth $307.89 item_2_desc Dell Optiplex Desktop Computer with Dual 19 LCD Monitors Windows 10 Pro item_2_qty 3 item_2_net_price $149.95 item_2_net_worth $449.85 item_2_vat 10% item_2_gross_worth $494.83 total_net_worth $729.75 total_vat $72.98 total_gross_worth $802.73.
### Response: {'Parameters': ['item_1_net_worth', 'total_vat', 'item_2_net_worth', 'ice_no', 'client', 'item_1_qty', 'item_1_gross_worth', 'iban', 'client_tax_id', 'item_2_net_price', 'item_1_vat'], 'Values': ['$279.90', '$72.98', '$449.85', '34528548', 'Huerta Ltd 74501 Andrea Streets Suite 854 Kaitlyntown', '2', '$307.89', 'GB60LA0W81233191361598', '972-74-2815', '$149.95