### 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_gross_worth, total_vat, total_net_worth, iban, item_1_net_worth, invoice_date, client.
 This is the Text: ice_no 26248685 invoice_date 05/26/2018 seller Baker Inc 8498 Baldwin Bypass Apt. 995 Zacharymouth NE 79246 client Mitchell Hill and Strickland 301 Jennifer Crossing Suite 311 Crystalland ND 67903 seller_tax_id 978-83-5677 client_tax_id 966-72-6194 iban GB97DXYE25395395425116910 item_1_desc FashionNova Forecasting You MAXI DRESS TAUPE SZ M item_1_qty 5 item_1_net_price 25 item_1_net_worth 125 item_1_vat 10% item_1_gross_worth CHF137.50  item_2_desc Leopard Print Large Dress With Pockets & Floral Sleeves HoneyMe Size L NWT item_2_qty 4 item_2_net_price 39 item_2_net_worth 156 item_2_vat 10% item_2_gross_worth CHF171.60  total_net_worth  281 total_vat CHF28.10 total_gross_worth  CHF309.10.
### Response:{'Parameters': ['item_1_gross_worth', 'total_vat', 'total_net_worth', 'iban', 'item_1_net_worth', 'invoice_date', 'client'], 'Values': ['CHF137.50', 'CHF28.10', '281', 'GB97DXYE25395395425116910', '125', '05/26/2018', 'Mitchell']}
{'Parameters': ['item_1_gross_worth', 'total_vat', 'total_net_worth', 'iban', 'item_1_net_worth', 'invoice_date', 'client'], 'Values': ['CHF137.50', 'CHF28.10', '281', 'GB97DXYE25395395425116910', '125', '05/26/2018', 'Mitchell']}
### 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_gross_worth, total_vat, total_net_worth, iban, item_1_net_worth, invoice_date, client.
 This is the Text: ice_no 26248685 invoice_date 05/26/2018 seller Baker Inc 8498 Baldwin Bypass Apt. 995 Zacharymouth NE 79246 client Mitchell Hill and Strickland 301 Jennifer Crossing Suite 311 Crystalland ND 67903 seller_tax_id 978-83-5677 client_tax_id 966-72-6194 iban GB97DXYE25395395425116910 item_1_desc FashionNova Forecasting You MAXI DRESS TAUPE SZ M item_1_qty 5 item_1_net_price 25 item_1_net_worth 125 item_1_vat 10% item_1_gross_worth CHF137.50 item_2_desc Leopard Print Large Dress With Pockets & Floral Sleeves HoneyMe Size L NWT item_2_qty 4 item_2_net_price 39 item_2_net_worth 156 item_2_vat 10% item_2_gross_worth CHF171.60 total_net_worth 281 total_vat CHF28.10 total_gross_worth CHF309.10.
### 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_gross_worth, total_vat, total_net_worth, iban, item_1_net_worth, invoice_date, client.
 This is the Text: ice_no 26248685 invoice_date 05/26/2018 seller Baker Inc 8498 Baldwin Bypass Apt. 995 Zacharymouth NE 79246 client Mitchell Hill and Strickland 301 Jennifer Crossing Suite 311 Crystalland ND 67903 seller_tax_id 978-83-5677 client_tax_id 966-72-6194 iban GB97DXYE25395395425116910 item_1_desc FashionNova Forecasting You MAXI DRESS TAUPE SZ M item_1_qty 5 item_1_net_price 25 item_1_net_worth 125 item_1_vat 10% item_1_gross_worth CHF137.50 item_2_desc Leopard Print Large Dress With Pockets & Floral Sleeves HoneyMe Size L NWT item_2_qty 4 item_2_net_price 39 item_2_net_worth 156 item_2_vat 10% item_2_gross_worth CHF171.60 total_net_worth 281 total_vat CHF28.10 total_gross_worth CHF309.10.
### Response: {'Parameters': ['item_1_gross_worth', 'total_vat', 'total_net_worth', 'iban', 'item_1_net_worth', 'invoice_date', 'client'], 'Values': ['CHF137.50', 'CHF28.10', '281', 'GB97DXYE25395395425116910', '125', '05/26/2018', 'M