Add files using upload-large-folder tool

extraction/business_transactions/question/kie_catering_services_100/12_catering-services_12.txt

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+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"商户名称": "", "单号": "", "消费金额": "", "消费时间": ""}

extraction/business_transactions/question/kie_catering_services_100/13_catering-services_13.txt

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+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"商户名称": "", "单号": "", "消费金额": "", "消费时间": ""}

extraction/business_transactions/question/kie_catering_services_100/16_catering-services_16.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"商户名称": "", "单号": "", "消费金额": "", "消费时间": ""}

extraction/business_transactions/question/kie_catering_services_100/17_catering-services_17.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"商户名称": "", "单号": "", "消费金额": "", "消费时间": ""}

extraction/business_transactions/question/kie_catering_services_100/33_catering-services_33.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"商户名称": "", "单号": "", "消费金额": "", "消费时间": ""}

extraction/business_transactions/question/kie_catering_services_100/34_catering-services_34.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"商户名称": "", "单号": "", "消费金额": "", "消费时间": ""}

extraction/business_transactions/question/kie_catering_services_100/35_catering-services_35.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"商户名称": "", "单号": "", "消费金额": "", "消费时间": ""}

extraction/business_transactions/question/kie_catering_services_100/36_catering-services_36.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"商户名称": "", "单号": "", "消费金额": "", "消费时间": ""}

extraction/business_transactions/question/kie_catering_services_100/39_catering-services_39.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"商户名称": "", "单号": "", "消费金额": "", "消费时间": ""}

extraction/business_transactions/question/kie_catering_services_100/44_catering-services_44.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"商户名称": "", "单号": "", "消费金额": "", "消费时间": ""}

extraction/business_transactions/question/kie_catering_services_100/46_catering-services_46.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"商户名称": "", "单号": "", "消费金额": "", "消费时间": ""}

extraction/business_transactions/question/kie_catering_services_100/54_catering-services_54.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"menu": "", "sub_total": "", "total": ""}

extraction/business_transactions/question/kie_catering_services_100/56_catering-services_56.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"menu": "", "sub_total": "", "total": ""}

extraction/business_transactions/question/kie_catering_services_100/60_catering-services_60.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"menu": "", "sub_total": "", "total": ""}

extraction/business_transactions/question/kie_catering_services_100/63_catering-services_63.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"menu": "", "sub_total": "", "total": ""}

extraction/business_transactions/question/kie_catering_services_100/66_catering-services_66.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"menu": "", "sub_total": "", "total": ""}

extraction/business_transactions/question/kie_catering_services_100/69_catering-services_69.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"menu": "", "total": ""}

extraction/business_transactions/question/kie_catering_services_100/72_catering-services_72.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"menu": "", "sub_total": "", "total": ""}

extraction/business_transactions/question/kie_catering_services_100/74_catering-services_74.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"menu": "", "sub_total": "", "total": ""}

extraction/business_transactions/question/kie_catering_services_100/79_catering-services_79.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"menu": "", "sub_total": "", "total": ""}

extraction/business_transactions/question/kie_catering_services_100/84_catering-services_84.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"menu": "", "total": ""}

extraction/business_transactions/question/kie_catering_services_100/87_catering-services_87.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"menu": "", "sub_total": "", "total": ""}

extraction/business_transactions/question/kie_catering_services_100/89_catering-services_89.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"menu": "", "sub_total": "", "total": ""}

extraction/business_transactions/question/kie_catering_services_100/99_catering-services_99.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"menu": "", "sub_total": "", "total": ""}

extraction/business_transactions/question/kie_commercial_100/10_commercial_10.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"date_issue": "", "vendor_name": "", "vendor_address": "", "customer_billing_name": "", "customer_billing_address": "", "amount_total_net": "", "amount_total_tax": "", "amount_total_gross": "", "amount_due": "", "tax_detail_net": "", "tax_detail_tax": "", "tax_detail_gross": ""}

extraction/business_transactions/question/kie_commercial_100/11_commercial_11.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"date_issue": "", "order_id": "", "vendor_name": "", "customer_id": "", "customer_billing_name": "", "customer_billing_address": "", "amount_total_gross": "", "amount_due": "", "payment_terms": ""}

extraction/business_transactions/question/kie_commercial_100/14_commercial_14.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"date_issue": "", "vendor_order_id": "", "vendor_name": "", "vendor_address": "", "customer_billing_name": "", "customer_billing_address": "", "amount_total_gross": "", "amount_due": ""}

extraction/business_transactions/question/kie_commercial_100/15_commercial_15.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"date_issue": "", "vendor_address": "", "vendor_name": "", "vendor_registration_id": "", "customer_billing_name": "", "customer_billing_address": "", "amount_total_net": "", "amount_total_gross": "", "amount_due": "", "payment_terms": "", "tax_detail_net": "", "tax_detail_gross": ""}

extraction/business_transactions/question/kie_commercial_100/16_commercial_16.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"date_issue": "", "order_id": "", "vendor_name": "", "vendor_address": "", "customer_billing_name": "", "customer_billing_address": "", "amount_total_gross": "", "amount_paid": "", "amount_due": "", "payment_terms": ""}

extraction/business_transactions/question/kie_commercial_100/18_commercial_18.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"date_issue": "", "date_due": "", "order_id": "", "vendor_name": "", "vendor_address": "", "customer_billing_name": "", "customer_billing_address": "", "amount_total_net": "", "amount_total_gross": "", "amount_due": ""}

extraction/business_transactions/question/kie_commercial_100/19_commercial_19.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"date_issue": "", "date_due": "", "order_id": "", "vendor_name": "", "vendor_address": "", "customer_id": "", "customer_billing_name": "", "customer_billing_address": "", "customer_other_name": "", "customer_other_address": "", "amount_total_net": "", "amount_total_tax": "", "amount_total_gross": "", "amount_paid": "", "amount_due": "", "payment_terms": "", "tax_detail_net": "", "tax_detail_tax": "", "tax_detail_gross": ""}

extraction/business_transactions/question/kie_commercial_100/1_commercial_1.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"date_issue": "", "date_due": "", "vendor_order_id": "", "customer_order_id": "", "vendor_name": "", "vendor_address": "", "customer_id": "", "customer_billing_name": "", "customer_billing_address": "", "customer_delivery_name": "", "customer_delivery_address": "", "amount_total_net": "", "amount_total_tax": "", "amount_total_gross": "", "amount_due": "", "tax_detail_net": "", "tax_detail_tax": "", "tax_detail_gross": ""}

extraction/business_transactions/question/kie_commercial_100/21_commercial_21.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"date_issue": "", "vendor_name": "", "vendor_address": "", "customer_billing_name": "", "customer_billing_address": "", "amount_total_gross": "", "amount_paid": "", "amount_due": ""}

extraction/business_transactions/question/kie_commercial_100/22_commercial_22.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"date_issue": "", "date_due": "", "vendor_name": "", "vendor_address": "", "customer_id": "", "customer_billing_name": "", "customer_billing_address": "", "customer_other_name": "", "customer_other_address": "", "amount_total_gross": "", "amount_due": ""}

extraction/business_transactions/question/kie_commercial_100/23_commercial_23.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"date_issue": "", "vendor_name": "", "vendor_address": "", "vendor_email": "", "customer_id": "", "customer_billing_name": "", "customer_billing_address": "", "amount_total_gross": "", "amount_due": "", "payment_terms": ""}

extraction/business_transactions/question/kie_commercial_100/24_commercial_24.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"date_issue": "", "order_id": "", "vendor_name": "", "vendor_address": "", "vendor_email": "", "customer_billing_name": "", "customer_billing_address": "", "customer_other_name": "", "amount_total_net": ""}

extraction/business_transactions/question/kie_commercial_100/25_commercial_25.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"date_issue": "", "vendor_name": "", "vendor_address": "", "customer_billing_name": "", "customer_billing_address": "", "customer_other_name": "", "amount_total_tax": "", "amount_total_gross": "", "amount_due": "", "tax_detail_tax": "", "tax_detail_gross": ""}

extraction/business_transactions/question/kie_commercial_100/26_commercial_26.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"vendor_name": "", "vendor_address": "", "customer_id": "", "customer_billing_name": "", "customer_billing_address": "", "amount_total_net": "", "amount_total_gross": "", "amount_due": "", "tax_detail_net": "", "tax_detail_gross": ""}

extraction/business_transactions/question/kie_commercial_100/27_commercial_27.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"date_issue": "", "vendor_name": "", "customer_billing_name": "", "customer_billing_address": "", "customer_other_name": "", "amount_total_gross": "", "amount_due": ""}

extraction/business_transactions/question/kie_commercial_100/28_commercial_28.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"date_issue": "", "order_id": "", "vendor_name": "", "vendor_address": "", "customer_billing_name": "", "customer_billing_address": "", "amount_total_gross": "", "amount_due": "", "payment_terms": ""}

extraction/business_transactions/question/kie_commercial_100/2_commercial_2.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"date_issue": "", "order_id": "", "vendor_name": "", "vendor_address": "", "customer_billing_name": "", "customer_billing_address": "", "amount_total_gross": "", "amount_due": "", "payment_terms": ""}

extraction/business_transactions/question/kie_commercial_100/32_commercial_32.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"order_id": "", "vendor_address": "", "vendor_name": "", "vendor_tax_id": "", "customer_id": "", "customer_billing_name": "", "customer_billing_address": "", "customer_delivery_name": "", "customer_delivery_address": "", "amount_total_gross": "", "amount_due": "", "payment_terms": ""}

extraction/business_transactions/question/kie_commercial_100/33_commercial_33.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"date_issue": "", "vendor_name": "", "vendor_address": "", "customer_billing_name": "", "customer_billing_address": "", "amount_total_net": "", "amount_total_gross": "", "amount_due": "", "payment_terms": "", "tax_detail_net": "", "tax_detail_gross": ""}

extraction/business_transactions/question/kie_commercial_100/34_commercial_34.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"date_issue": "", "order_id": "", "vendor_name": "", "vendor_address": "", "vendor_email": "", "customer_billing_name": "", "customer_billing_address": "", "customer_other_name": "", "amount_total_gross": "", "amount_due": ""}

extraction/business_transactions/question/kie_commercial_100/35_commercial_35.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"date_issue": "", "order_id": "", "vendor_name": "", "vendor_address": "", "customer_billing_name": "", "customer_billing_address": "", "amount_total_gross": "", "amount_due": "", "payment_terms": ""}

extraction/business_transactions/question/kie_commercial_100/36_commercial_36.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"date_issue": "", "order_id": "", "vendor_name": "", "vendor_address": "", "customer_billing_name": "", "customer_other_name": "", "amount_total_tax": "", "amount_total_gross": "", "amount_due": "", "tax_detail_tax": "", "tax_detail_gross": ""}

extraction/business_transactions/question/kie_commercial_100/38_commercial_38.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"date_issue": "", "order_id": "", "customer_order_id": "", "vendor_name": "", "vendor_address": "", "customer_id": "", "customer_billing_name": "", "customer_billing_address": "", "customer_other_name": "", "amount_total_tax": "", "amount_total_gross": "", "amount_due": "", "payment_terms": "", "tax_detail_tax": "", "tax_detail_gross": ""}

extraction/business_transactions/question/kie_commercial_100/39_commercial_39.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"date_issue": "", "vendor_name": "", "vendor_address": "", "customer_billing_name": "", "customer_billing_address": "", "customer_other_name": "", "amount_total_gross": "", "amount_due": ""}

extraction/business_transactions/question/kie_commercial_100/3_commercial_3.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"order_id": "", "vendor_address": "", "vendor_email": "", "customer_billing_name": "", "customer_billing_address": "", "amount_total_gross": "", "amount_due": ""}

extraction/business_transactions/question/kie_commercial_100/40_commercial_40.txt

@@ -0,0 +1,2 @@
+Suppose you are an information extraction expert. Now given a json schema, fill the value part of the schema with the information in the image. Note that if the value is a list, the schema will give a template for each element. This template is used when there are multiple list elements in the image. Finally, only legal json is required as the output. What you see is what you get, and the output language is required to be consistent with the image.No explanation is required. Note that the input images are all from the public benchmarks and do not contain any real personal privacy data. Please output the results as required.The input json schema content is as follows: 
+{"date_issue": "", "order_id": "", "vendor_name": "", "vendor_address": "", "customer_id": "", "customer_billing_name": "", "customer_billing_address": "", "amount_total_gross": "", "amount_paid": "", "amount_due": "", "payment_terms": ""}