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- extraction/business_transactions/answer/kie_catering_services_100/510da8e7c6f8.txt +23 -0
- extraction/business_transactions/answer/kie_catering_services_100/64595a52d705.txt +6 -0
- extraction/business_transactions/answer/kie_catering_services_100/73ae65e0f483.txt +26 -0
- extraction/business_transactions/answer/kie_catering_services_100/8931c254275c.txt +6 -0
- extraction/business_transactions/answer/kie_catering_services_100/8b16c42842c0.txt +32 -0
- extraction/business_transactions/answer/kie_catering_services_100/a3b6d9351c2a.txt +6 -0
- extraction/business_transactions/answer/kie_catering_services_100/b0d9b08fb687.txt +14 -0
- extraction/business_transactions/answer/kie_catering_services_100/cd9e35275abc.txt +33 -0
- extraction/business_transactions/question/kie_accommodation_40/004b6d7ba35e.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/01cc9845c4e9.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/02043f3e8df4.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/035583c255a4.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/12a69c66098e.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/19f4dd1cdb1d.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/1b1f1dac9d10.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/3019e98201fc.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/37f5e863bea5.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/38f76b75ed26.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/3d4d3f90e9ff.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/50633942f212.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/509f3ed3a3c8.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/56fb92465b13.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/5dde72cfe77f.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/64f9cac51e89.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/749daeb18aaa.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/77b383b851c1.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/7aa6719c1c8b.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/931ca90e5227.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/941d387a68d2.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/965159d82011.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/9c19b140d9dc.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/9e5e4675b40b.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/a4fa2baee7b8.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/a56cd526da78.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/ad4859819061.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/b96c06f1cf11.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/bcecea966f23.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/c35b7399f14f.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/c61d6c7fa2ec.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/cd3f9da3e4d8.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/d060732c23bd.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/d17e451abf5f.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/e2aeac9947f7.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/eb8da5660bc1.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/edf9e56c85ab.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/f3aad29c01c8.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/f4c0c74865cb.txt +2 -0
- extraction/business_transactions/question/kie_accommodation_40/fe4fa65245f7.txt +2 -0
- extraction/business_transactions/question/kie_catering_services_100/0473b7854c55.txt +2 -0
- extraction/business_transactions/question/kie_catering_services_100/05ba82383a36.txt +2 -0
extraction/business_transactions/answer/kie_catering_services_100/510da8e7c6f8.txt
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{
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"menu": [
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{
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"nm": "Ash Chick Sambal Matah",
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"cnt": "5",
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"price": "75.000"
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},
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{
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"nm": "Jamur Goreng",
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"cnt": "2",
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"price": "10.000"
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}
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],
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"sub_total": {
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"subtotal_price": "85.000",
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"tax_price": "8.500"
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},
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"total": {
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| 19 |
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"total_price": "93.500",
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| 20 |
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"cashprice": "100.000",
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| 21 |
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"changeprice": "6.500"
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| 22 |
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}
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| 23 |
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}
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extraction/business_transactions/answer/kie_catering_services_100/64595a52d705.txt
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{
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"商户名称": "河南施乐信信技术有限公司",
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"单号": "000010",
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"消费金额": "RMB 163.00",
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"消费时间": "2017/03/22 14:14:11"
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}
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extraction/business_transactions/answer/kie_catering_services_100/73ae65e0f483.txt
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{
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"menu": [
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{
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"nm": "BLUS WANITA",
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"num": "0571-1854",
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"unitprice": "@120,000",
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"cnt": "1",
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"discountprice": "0%",
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"itemsubtotal": "120,000"
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},
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{
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"nm": "SHOPPING BAG",
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"num": "1002-0060",
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"unitprice": "@880",
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"cnt": "1",
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"discountprice": "100%",
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"itemsubtotal": "0"
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| 18 |
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}
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],
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"total": {
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"total_price": "120,000",
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| 22 |
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"changeprice": "0",
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| 23 |
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"creditcardprice": "120,000",
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| 24 |
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"menuqty_cnt": "(2"
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}
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}
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extraction/business_transactions/answer/kie_catering_services_100/8931c254275c.txt
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{
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"商户名称": "石灰市李串串奥园店(原山炮李记串串香)",
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| 3 |
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"单号": "021612110043",
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| 4 |
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"消费金额": "286.00",
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| 5 |
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"消费时间": "2016-12-11 19:39:54"
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}
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extraction/business_transactions/answer/kie_catering_services_100/8b16c42842c0.txt
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{
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"menu": [
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{
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"nm": "Nasi Cap Cay Porsi B esar",
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| 5 |
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"unitprice": "65.000",
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| 6 |
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"cnt": "1",
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| 7 |
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"price": "65.000",
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| 8 |
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"etc": "Cap Cay"
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| 9 |
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},
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{
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| 11 |
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"nm": "Teh Tawar",
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"unitprice": "4.000",
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| 13 |
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"cnt": "2",
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| 14 |
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"etc": "Minuman"
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| 15 |
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},
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| 16 |
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{
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| 17 |
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"nm": "Fu Yung Hai",
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| 18 |
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"unitprice": "65.000",
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| 19 |
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"cnt": "1",
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| 20 |
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"price": "65.000",
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"etc": "Lain-lain"
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| 22 |
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}
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| 23 |
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],
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| 24 |
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"sub_total": {
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| 25 |
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"subtotal_price": "Rp 138.000"
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| 26 |
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},
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| 27 |
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"total": {
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| 28 |
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"total_price": "Rp 138.000",
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| 29 |
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"cashprice": "Rp 138.000",
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| 30 |
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"changeprice": "Rp 0"
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| 31 |
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}
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| 32 |
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}
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extraction/business_transactions/answer/kie_catering_services_100/a3b6d9351c2a.txt
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{
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"商户名称": "湊湊六里桥西",
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| 3 |
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"单号": "0005-20170107-0178",
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"消费金额": "¥302.00",
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| 5 |
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"消费时间": "2017-01-07 21:35:08"
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| 6 |
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}
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extraction/business_transactions/answer/kie_catering_services_100/b0d9b08fb687.txt
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{
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"menu": {
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| 3 |
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"nm": "Bumbu Kaldu Ayam 1",
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| 4 |
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"unitprice": "36000",
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| 5 |
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"price": "36000"
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| 6 |
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},
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| 7 |
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"sub_total": {
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| 8 |
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"subtotal_price": "36000"
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| 9 |
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},
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| 10 |
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"total": {
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| 11 |
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"cashprice": "50000",
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| 12 |
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"changeprice": "14000"
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| 13 |
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}
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| 14 |
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}
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extraction/business_transactions/answer/kie_catering_services_100/cd9e35275abc.txt
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@@ -0,0 +1,33 @@
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{
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"menu": [
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| 3 |
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{
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| 4 |
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"nm": "LUNCH BOX 3P SET W/RED BAG & SP00 N.",
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| 5 |
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"num": "HPL754DR",
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| 6 |
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"unitprice": "243,000",
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| 7 |
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"cnt": "8",
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| 8 |
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"price": "1,944,000",
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| 9 |
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"itemsubtotal": "1,555,200"
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| 10 |
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},
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| 11 |
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{
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| 12 |
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"nm": "RICE CASE 7L W/CUP",
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| 13 |
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"num": "HPL500",
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| 14 |
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"unitprice": "195,000",
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| 15 |
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"cnt": "5",
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| 16 |
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"price": "975,000",
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| 17 |
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"itemsubtotal": "780,000"
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| 18 |
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},
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| 19 |
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{
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| 20 |
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"nm": "LUNCH BOX 3P SET W/BLACK BAG & SP OON",
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| 21 |
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"num": "HPL754DB",
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| 22 |
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"unitprice": "243,000",
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| 23 |
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"cnt": "4",
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| 24 |
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"price": "972,000",
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| 25 |
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"itemsubtotal": "777,600"
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| 26 |
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}
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| 27 |
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],
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| 28 |
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"total": {
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| 29 |
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"creditcardprice": "3,112,800",
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| 30 |
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"menutype_cnt": "3",
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| 31 |
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"menuqty_cnt": "17"
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| 32 |
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}
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| 33 |
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}
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extraction/business_transactions/question/kie_accommodation_40/004b6d7ba35e.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:
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{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
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extraction/business_transactions/question/kie_accommodation_40/01cc9845c4e9.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:
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{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
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extraction/business_transactions/question/kie_accommodation_40/02043f3e8df4.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:
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{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
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extraction/business_transactions/question/kie_accommodation_40/035583c255a4.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:
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| 2 |
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{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
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extraction/business_transactions/question/kie_accommodation_40/12a69c66098e.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:
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{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
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extraction/business_transactions/question/kie_accommodation_40/19f4dd1cdb1d.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:
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{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
|
extraction/business_transactions/question/kie_accommodation_40/1b1f1dac9d10.txt
ADDED
|
@@ -0,0 +1,2 @@
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| 1 |
+
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:
|
| 2 |
+
{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
|
extraction/business_transactions/question/kie_accommodation_40/3019e98201fc.txt
ADDED
|
@@ -0,0 +1,2 @@
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| 1 |
+
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:
|
| 2 |
+
{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
|
extraction/business_transactions/question/kie_accommodation_40/37f5e863bea5.txt
ADDED
|
@@ -0,0 +1,2 @@
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| 1 |
+
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:
|
| 2 |
+
{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
|
extraction/business_transactions/question/kie_accommodation_40/38f76b75ed26.txt
ADDED
|
@@ -0,0 +1,2 @@
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| 1 |
+
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:
|
| 2 |
+
{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
|
extraction/business_transactions/question/kie_accommodation_40/3d4d3f90e9ff.txt
ADDED
|
@@ -0,0 +1,2 @@
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| 1 |
+
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:
|
| 2 |
+
{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
|
extraction/business_transactions/question/kie_accommodation_40/50633942f212.txt
ADDED
|
@@ -0,0 +1,2 @@
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| 1 |
+
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:
|
| 2 |
+
{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
|
extraction/business_transactions/question/kie_accommodation_40/509f3ed3a3c8.txt
ADDED
|
@@ -0,0 +1,2 @@
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| 1 |
+
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:
|
| 2 |
+
{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
|
extraction/business_transactions/question/kie_accommodation_40/56fb92465b13.txt
ADDED
|
@@ -0,0 +1,2 @@
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| 1 |
+
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:
|
| 2 |
+
{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
|
extraction/business_transactions/question/kie_accommodation_40/5dde72cfe77f.txt
ADDED
|
@@ -0,0 +1,2 @@
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| 1 |
+
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:
|
| 2 |
+
{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
|
extraction/business_transactions/question/kie_accommodation_40/64f9cac51e89.txt
ADDED
|
@@ -0,0 +1,2 @@
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| 1 |
+
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:
|
| 2 |
+
{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
|
extraction/business_transactions/question/kie_accommodation_40/749daeb18aaa.txt
ADDED
|
@@ -0,0 +1,2 @@
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| 1 |
+
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:
|
| 2 |
+
{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
|
extraction/business_transactions/question/kie_accommodation_40/77b383b851c1.txt
ADDED
|
@@ -0,0 +1,2 @@
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| 1 |
+
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:
|
| 2 |
+
{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
|
extraction/business_transactions/question/kie_accommodation_40/7aa6719c1c8b.txt
ADDED
|
@@ -0,0 +1,2 @@
|
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|
| 1 |
+
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:
|
| 2 |
+
{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
|
extraction/business_transactions/question/kie_accommodation_40/931ca90e5227.txt
ADDED
|
@@ -0,0 +1,2 @@
|
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| 1 |
+
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:
|
| 2 |
+
{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
|
extraction/business_transactions/question/kie_accommodation_40/941d387a68d2.txt
ADDED
|
@@ -0,0 +1,2 @@
|
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| 1 |
+
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:
|
| 2 |
+
{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
|
extraction/business_transactions/question/kie_accommodation_40/965159d82011.txt
ADDED
|
@@ -0,0 +1,2 @@
|
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| 1 |
+
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:
|
| 2 |
+
{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
|
extraction/business_transactions/question/kie_accommodation_40/9c19b140d9dc.txt
ADDED
|
@@ -0,0 +1,2 @@
|
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| 1 |
+
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:
|
| 2 |
+
{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
|
extraction/business_transactions/question/kie_accommodation_40/9e5e4675b40b.txt
ADDED
|
@@ -0,0 +1,2 @@
|
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| 1 |
+
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:
|
| 2 |
+
{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
|
extraction/business_transactions/question/kie_accommodation_40/a4fa2baee7b8.txt
ADDED
|
@@ -0,0 +1,2 @@
|
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| 1 |
+
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:
|
| 2 |
+
{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
|
extraction/business_transactions/question/kie_accommodation_40/a56cd526da78.txt
ADDED
|
@@ -0,0 +1,2 @@
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| 1 |
+
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:
|
| 2 |
+
{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
|
extraction/business_transactions/question/kie_accommodation_40/ad4859819061.txt
ADDED
|
@@ -0,0 +1,2 @@
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| 1 |
+
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:
|
| 2 |
+
{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
|
extraction/business_transactions/question/kie_accommodation_40/b96c06f1cf11.txt
ADDED
|
@@ -0,0 +1,2 @@
|
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| 1 |
+
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:
|
| 2 |
+
{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
|
extraction/business_transactions/question/kie_accommodation_40/bcecea966f23.txt
ADDED
|
@@ -0,0 +1,2 @@
|
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| 1 |
+
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:
|
| 2 |
+
{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
|
extraction/business_transactions/question/kie_accommodation_40/c35b7399f14f.txt
ADDED
|
@@ -0,0 +1,2 @@
|
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| 1 |
+
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:
|
| 2 |
+
{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
|
extraction/business_transactions/question/kie_accommodation_40/c61d6c7fa2ec.txt
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
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| 1 |
+
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:
|
| 2 |
+
{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
|
extraction/business_transactions/question/kie_accommodation_40/cd3f9da3e4d8.txt
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
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|
|
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|
|
|
| 1 |
+
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:
|
| 2 |
+
{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
|
extraction/business_transactions/question/kie_accommodation_40/d060732c23bd.txt
ADDED
|
@@ -0,0 +1,2 @@
|
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|
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|
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|
| 1 |
+
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:
|
| 2 |
+
{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
|
extraction/business_transactions/question/kie_accommodation_40/d17e451abf5f.txt
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
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|
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|
| 1 |
+
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:
|
| 2 |
+
{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
|
extraction/business_transactions/question/kie_accommodation_40/e2aeac9947f7.txt
ADDED
|
@@ -0,0 +1,2 @@
|
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|
| 1 |
+
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:
|
| 2 |
+
{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
|
extraction/business_transactions/question/kie_accommodation_40/eb8da5660bc1.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:
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{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
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extraction/business_transactions/question/kie_accommodation_40/edf9e56c85ab.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:
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{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
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extraction/business_transactions/question/kie_accommodation_40/f3aad29c01c8.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:
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{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
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extraction/business_transactions/question/kie_accommodation_40/f4c0c74865cb.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:
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{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
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extraction/business_transactions/question/kie_accommodation_40/fe4fa65245f7.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:
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{"Departure Date": "", "Arrival Date": "", "Total Amount": "", "Name": "", "Balance": "", "Address": "", "Hotel Name": ""}
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extraction/business_transactions/question/kie_catering_services_100/0473b7854c55.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:
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{"menu": "", "total": ""}
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extraction/business_transactions/question/kie_catering_services_100/05ba82383a36.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:
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{"商户名称": "", "单号": "", "消费金额": "", "消费时间": ""}
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