File size: 129,704 Bytes
f2e4f01 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 |
{"id":0,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 17.42, A3: 6.5, A4: 2.0, A5: 3.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 60.0, A14: 101.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 17.42, A3: 6.5, A4: 2.0, A5: 3.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 60.0, A14: 101.0."}
{"id":1,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 55.75, A3: 7.08, A4: 2.0, A5: 4.0, A6: 8.0, A7: 6.75, A8: 1.0, A9: 1.0, A10: 3.0, A11: 1.0, A12: 2.0, A13: 100.0, A14: 51.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 0.0, A2: 55.75, A3: 7.08, A4: 2.0, A5: 4.0, A6: 8.0, A7: 6.75, A8: 1.0, A9: 1.0, A10: 3.0, A11: 1.0, A12: 2.0, A13: 100.0, A14: 51.0."}
{"id":2,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 34.92, A3: 5.0, A4: 2.0, A5: 14.0, A6: 8.0, A7: 7.5, A8: 1.0, A9: 1.0, A10: 6.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1001.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 34.92, A3: 5.0, A4: 2.0, A5: 14.0, A6: 8.0, A7: 7.5, A8: 1.0, A9: 1.0, A10: 6.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1001.0."}
{"id":3,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 18.92, A3: 9.0, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.75, A8: 1.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 88.0, A14: 592.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 0.0, A2: 18.92, A3: 9.0, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.75, A8: 1.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 88.0, A14: 592.0."}
{"id":4,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 41.17, A3: 1.335, A4: 2.0, A5: 2.0, A6: 4.0, A7: 0.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 168.0, A14: 1.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 41.17, A3: 1.335, A4: 2.0, A5: 2.0, A6: 4.0, A7: 0.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 168.0, A14: 1.0."}
{"id":5,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 20.42, A3: 10.5, A4: 1.0, A5: 14.0, A6: 8.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 154.0, A14: 33.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 0.0, A2: 20.42, A3: 10.5, A4: 1.0, A5: 14.0, A6: 8.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 154.0, A14: 33.0."}
{"id":6,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 42.83, A3: 1.25, A4: 2.0, A5: 7.0, A6: 4.0, A7: 13.875, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 352.0, A14: 113.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 42.83, A3: 1.25, A4: 2.0, A5: 7.0, A6: 4.0, A7: 13.875, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 352.0, A14: 113.0."}
{"id":7,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 39.58, A3: 13.915, A4: 2.0, A5: 9.0, A6: 4.0, A7: 8.625, A8: 1.0, A9: 1.0, A10: 6.0, A11: 1.0, A12: 2.0, A13: 70.0, A14: 1.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 39.58, A3: 13.915, A4: 2.0, A5: 9.0, A6: 4.0, A7: 8.625, A8: 1.0, A9: 1.0, A10: 6.0, A11: 1.0, A12: 2.0, A13: 70.0, A14: 1.0."}
{"id":8,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 47.75, A3: 8.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 7.875, A8: 1.0, A9: 1.0, A10: 6.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1261.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 0.0, A2: 47.75, A3: 8.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 7.875, A8: 1.0, A9: 1.0, A10: 6.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1261.0."}
{"id":9,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 22.58, A3: 1.5, A4: 1.0, A5: 6.0, A6: 4.0, A7: 0.54, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 120.0, A14: 68.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 22.58, A3: 1.5, A4: 1.0, A5: 6.0, A6: 4.0, A7: 0.54, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 120.0, A14: 68.0."}
{"id":10,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 26.75, A3: 1.125, A4: 2.0, A5: 14.0, A6: 8.0, A7: 1.25, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 5299.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 26.75, A3: 1.125, A4: 2.0, A5: 14.0, A6: 8.0, A7: 1.25, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 5299.0."}
{"id":11,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 20.75, A3: 10.25, A4: 2.0, A5: 11.0, A6: 4.0, A7: 0.71, A8: 1.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 49.0, A14: 1.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 0.0, A2: 20.75, A3: 10.25, A4: 2.0, A5: 11.0, A6: 4.0, A7: 0.71, A8: 1.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 49.0, A14: 1.0."}
{"id":12,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 32.33, A3: 3.5, A4: 2.0, A5: 4.0, A6: 4.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 232.0, A14: 1.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 32.33, A3: 3.5, A4: 2.0, A5: 4.0, A6: 4.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 232.0, A14: 1.0."}
{"id":13,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 56.75, A3: 12.25, A4: 2.0, A5: 7.0, A6: 4.0, A7: 1.25, A8: 1.0, A9: 1.0, A10: 4.0, A11: 1.0, A12: 2.0, A13: 200.0, A14: 1.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 56.75, A3: 12.25, A4: 2.0, A5: 7.0, A6: 4.0, A7: 1.25, A8: 1.0, A9: 1.0, A10: 4.0, A11: 1.0, A12: 2.0, A13: 200.0, A14: 1.0."}
{"id":14,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 29.42, A3: 1.25, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.75, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 200.0, A14: 1.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 29.42, A3: 1.25, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.75, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 200.0, A14: 1.0."}
{"id":15,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 40.25, A3: 21.5, A4: 2.0, A5: 10.0, A6: 9.0, A7: 20.0, A8: 1.0, A9: 1.0, A10: 11.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1201.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 40.25, A3: 21.5, A4: 2.0, A5: 10.0, A6: 9.0, A7: 20.0, A8: 1.0, A9: 1.0, A10: 11.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1201.0."}
{"id":16,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 29.83, A3: 3.5, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 216.0, A14: 1.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 29.83, A3: 3.5, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 216.0, A14: 1.0."}
{"id":17,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 35.17, A3: 3.75, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 1.0, A10: 6.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 201.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 0.0, A2: 35.17, A3: 3.75, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 1.0, A10: 6.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 201.0."}
{"id":18,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 23.42, A3: 1.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 280.0, A14: 1.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 23.42, A3: 1.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 280.0, A14: 1.0."}
{"id":19,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 28.67, A3: 14.5, A4: 2.0, A5: 2.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 287.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 28.67, A3: 14.5, A4: 2.0, A5: 2.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 287.0."}
{"id":20,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 38.92, A3: 1.665, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 391.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 0.0, A2: 38.92, A3: 1.665, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 391.0."}
{"id":21,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 31.83, A3: 0.04, A4: 1.0, A5: 7.0, A6: 4.0, A7: 0.04, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 31.83, A3: 0.04, A4: 1.0, A5: 7.0, A6: 4.0, A7: 0.04, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0."}
{"id":22,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 47.33, A3: 6.5, A4: 2.0, A5: 8.0, A6: 4.0, A7: 1.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 229.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 47.33, A3: 6.5, A4: 2.0, A5: 8.0, A6: 4.0, A7: 1.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 229.0."}
{"id":23,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 33.17, A3: 1.0, A4: 2.0, A5: 14.0, A6: 4.0, A7: 0.75, A8: 1.0, A9: 1.0, A10: 7.0, A11: 1.0, A12: 2.0, A13: 340.0, A14: 4072.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 33.17, A3: 1.0, A4: 2.0, A5: 14.0, A6: 4.0, A7: 0.75, A8: 1.0, A9: 1.0, A10: 7.0, A11: 1.0, A12: 2.0, A13: 340.0, A14: 4072.0."}
{"id":24,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 22.75, A3: 11.0, A4: 2.0, A5: 11.0, A6: 4.0, A7: 2.5, A8: 1.0, A9: 1.0, A10: 7.0, A11: 1.0, A12: 2.0, A13: 100.0, A14: 810.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 22.75, A3: 11.0, A4: 2.0, A5: 11.0, A6: 4.0, A7: 2.5, A8: 1.0, A9: 1.0, A10: 7.0, A11: 1.0, A12: 2.0, A13: 100.0, A14: 810.0."}
{"id":25,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 48.75, A3: 8.5, A4: 2.0, A5: 8.0, A6: 8.0, A7: 12.5, A8: 1.0, A9: 1.0, A10: 9.0, A11: 0.0, A12: 2.0, A13: 181.0, A14: 1656.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 48.75, A3: 8.5, A4: 2.0, A5: 8.0, A6: 8.0, A7: 12.5, A8: 1.0, A9: 1.0, A10: 9.0, A11: 0.0, A12: 2.0, A13: 181.0, A14: 1656.0."}
{"id":26,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 57.08, A3: 19.5, A4: 2.0, A5: 8.0, A6: 4.0, A7: 5.5, A8: 1.0, A9: 1.0, A10: 7.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 3001.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 0.0, A2: 57.08, A3: 19.5, A4: 2.0, A5: 8.0, A6: 4.0, A7: 5.5, A8: 1.0, A9: 1.0, A10: 7.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 3001.0."}
{"id":27,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 21.0, A3: 3.0, A4: 1.0, A5: 2.0, A6: 4.0, A7: 1.085, A8: 1.0, A9: 1.0, A10: 8.0, A11: 1.0, A12: 2.0, A13: 160.0, A14: 2.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 21.0, A3: 3.0, A4: 1.0, A5: 2.0, A6: 4.0, A7: 1.085, A8: 1.0, A9: 1.0, A10: 8.0, A11: 1.0, A12: 2.0, A13: 160.0, A14: 2.0."}
{"id":28,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 24.75, A3: 12.5, A4: 2.0, A5: 6.0, A6: 4.0, A7: 1.5, A8: 1.0, A9: 1.0, A10: 12.0, A11: 1.0, A12: 2.0, A13: 120.0, A14: 568.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 0.0, A2: 24.75, A3: 12.5, A4: 2.0, A5: 6.0, A6: 4.0, A7: 1.5, A8: 1.0, A9: 1.0, A10: 12.0, A11: 1.0, A12: 2.0, A13: 120.0, A14: 568.0."}
{"id":29,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 20.83, A3: 0.5, A4: 1.0, A5: 10.0, A6: 2.0, A7: 1.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 260.0, A14: 1.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 0.0, A2: 20.83, A3: 0.5, A4: 1.0, A5: 10.0, A6: 2.0, A7: 1.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 260.0, A14: 1.0."}
{"id":30,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 68.67, A3: 15.0, A4: 2.0, A5: 10.0, A6: 9.0, A7: 0.0, A8: 1.0, A9: 1.0, A10: 14.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 3377.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 0.0, A2: 68.67, A3: 15.0, A4: 2.0, A5: 10.0, A6: 9.0, A7: 0.0, A8: 1.0, A9: 1.0, A10: 14.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 3377.0."}
{"id":31,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 34.83, A3: 4.0, A4: 2.0, A5: 2.0, A6: 5.0, A7: 12.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 184.0, A14: 1.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 34.83, A3: 4.0, A4: 2.0, A5: 2.0, A6: 5.0, A7: 12.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 184.0, A14: 1.0."}
{"id":32,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 19.17, A3: 0.0, A4: 1.0, A5: 7.0, A6: 5.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 500.0, A14: 2.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 19.17, A3: 0.0, A4: 1.0, A5: 7.0, A6: 5.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 500.0, A14: 2.0."}
{"id":33,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 43.08, A3: 0.375, A4: 1.0, A5: 8.0, A6: 4.0, A7: 0.375, A8: 1.0, A9: 1.0, A10: 8.0, A11: 1.0, A12: 2.0, A13: 300.0, A14: 163.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 43.08, A3: 0.375, A4: 1.0, A5: 8.0, A6: 4.0, A7: 0.375, A8: 1.0, A9: 1.0, A10: 8.0, A11: 1.0, A12: 2.0, A13: 300.0, A14: 163.0."}
{"id":34,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 42.75, A3: 3.0, A4: 2.0, A5: 3.0, A6: 5.0, A7: 1.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 201.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 42.75, A3: 3.0, A4: 2.0, A5: 3.0, A6: 5.0, A7: 1.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 201.0."}
{"id":35,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 18.42, A3: 10.415, A4: 1.0, A5: 6.0, A6: 4.0, A7: 0.125, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 376.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 18.42, A3: 10.415, A4: 1.0, A5: 6.0, A6: 4.0, A7: 0.125, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 376.0."}
{"id":36,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 41.17, A3: 1.25, A4: 1.0, A5: 9.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 196.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 41.17, A3: 1.25, A4: 1.0, A5: 9.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 196.0."}
{"id":37,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 30.67, A3: 2.5, A4: 2.0, A5: 13.0, A6: 8.0, A7: 2.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 340.0, A14: 1.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 30.67, A3: 2.5, A4: 2.0, A5: 13.0, A6: 8.0, A7: 2.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 340.0, A14: 1.0."}
{"id":38,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 26.25, A3: 1.54, A4: 2.0, A5: 9.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 100.0, A14: 1.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 26.25, A3: 1.54, A4: 2.0, A5: 9.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 100.0, A14: 1.0."}
{"id":39,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 29.25, A3: 14.79, A4: 2.0, A5: 6.0, A6: 4.0, A7: 5.04, A8: 1.0, A9: 1.0, A10: 5.0, A11: 1.0, A12: 2.0, A13: 168.0, A14: 1.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 29.25, A3: 14.79, A4: 2.0, A5: 6.0, A6: 4.0, A7: 5.04, A8: 1.0, A9: 1.0, A10: 5.0, A11: 1.0, A12: 2.0, A13: 168.0, A14: 1.0."}
{"id":40,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 17.08, A3: 0.25, A4: 2.0, A5: 11.0, A6: 4.0, A7: 0.335, A8: 0.0, A9: 1.0, A10: 4.0, A11: 0.0, A12: 2.0, A13: 160.0, A14: 9.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 17.08, A3: 0.25, A4: 2.0, A5: 11.0, A6: 4.0, A7: 0.335, A8: 0.0, A9: 1.0, A10: 4.0, A11: 0.0, A12: 2.0, A13: 160.0, A14: 9.0."}
{"id":41,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 33.17, A3: 1.04, A4: 2.0, A5: 12.0, A6: 8.0, A7: 6.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 164.0, A14: 31286.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 33.17, A3: 1.04, A4: 2.0, A5: 12.0, A6: 8.0, A7: 6.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 164.0, A14: 31286.0."}
{"id":42,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 24.75, A3: 3.0, A4: 2.0, A5: 11.0, A6: 8.0, A7: 1.835, A8: 1.0, A9: 1.0, A10: 19.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 501.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 0.0, A2: 24.75, A3: 3.0, A4: 2.0, A5: 11.0, A6: 8.0, A7: 1.835, A8: 1.0, A9: 1.0, A10: 19.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 501.0."}
{"id":43,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 54.42, A3: 0.5, A4: 1.0, A5: 4.0, A6: 8.0, A7: 3.96, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 180.0, A14: 315.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 54.42, A3: 0.5, A4: 1.0, A5: 4.0, A6: 8.0, A7: 3.96, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 180.0, A14: 315.0."}
{"id":44,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 33.67, A3: 2.165, A4: 2.0, A5: 8.0, A6: 4.0, A7: 1.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 3.0, A13: 120.0, A14: 1.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 33.67, A3: 2.165, A4: 2.0, A5: 8.0, A6: 4.0, A7: 1.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 3.0, A13: 120.0, A14: 1.0."}
{"id":45,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 19.5, A3: 0.29, A4: 2.0, A5: 4.0, A6: 4.0, A7: 0.29, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 280.0, A14: 365.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 19.5, A3: 0.29, A4: 2.0, A5: 4.0, A6: 4.0, A7: 0.29, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 280.0, A14: 365.0."}
{"id":46,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 22.83, A3: 2.29, A4: 2.0, A5: 11.0, A6: 8.0, A7: 2.29, A8: 1.0, A9: 1.0, A10: 7.0, A11: 1.0, A12: 2.0, A13: 140.0, A14: 2385.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 0.0, A2: 22.83, A3: 2.29, A4: 2.0, A5: 11.0, A6: 8.0, A7: 2.29, A8: 1.0, A9: 1.0, A10: 7.0, A11: 1.0, A12: 2.0, A13: 140.0, A14: 2385.0."}
{"id":47,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 27.83, A3: 1.5, A4: 2.0, A5: 9.0, A6: 4.0, A7: 2.25, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 100.0, A14: 4.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 27.83, A3: 1.5, A4: 2.0, A5: 9.0, A6: 4.0, A7: 2.25, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 100.0, A14: 4.0."}
{"id":48,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 69.5, A3: 6.0, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 0.0, A14: 1.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 0.0, A2: 69.5, A3: 6.0, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 0.0, A14: 1.0."}
{"id":49,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 34.75, A3: 15.0, A4: 2.0, A5: 12.0, A6: 7.0, A7: 5.375, A8: 1.0, A9: 1.0, A10: 9.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 135.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 34.75, A3: 15.0, A4: 2.0, A5: 12.0, A6: 7.0, A7: 5.375, A8: 1.0, A9: 1.0, A10: 9.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 135.0."}
{"id":50,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 40.83, A3: 10.0, A4: 2.0, A5: 11.0, A6: 8.0, A7: 1.75, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 29.0, A14: 838.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 0.0, A2: 40.83, A3: 10.0, A4: 2.0, A5: 11.0, A6: 8.0, A7: 1.75, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 29.0, A14: 838.0."}
{"id":51,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 34.0, A3: 5.085, A4: 1.0, A5: 3.0, A6: 5.0, A7: 1.085, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 480.0, A14: 1.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 34.0, A3: 5.085, A4: 1.0, A5: 3.0, A6: 5.0, A7: 1.085, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 480.0, A14: 1.0."}
{"id":52,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 48.25, A3: 25.085, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.75, A8: 1.0, A9: 1.0, A10: 3.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 15.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 48.25, A3: 25.085, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.75, A8: 1.0, A9: 1.0, A10: 3.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 15.0."}
{"id":53,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 44.25, A3: 0.5, A4: 2.0, A5: 7.0, A6: 4.0, A7: 10.75, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 400.0, A14: 1.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 44.25, A3: 0.5, A4: 2.0, A5: 7.0, A6: 4.0, A7: 10.75, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 400.0, A14: 1.0."}
{"id":54,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 41.33, A3: 0.0, A4: 2.0, A5: 8.0, A6: 5.0, A7: 15.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 41.33, A3: 0.0, A4: 2.0, A5: 8.0, A6: 5.0, A7: 15.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0."}
{"id":55,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 31.92, A3: 3.125, A4: 2.0, A5: 1.0, A6: 1.0, A7: 3.04, A8: 0.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 200.0, A14: 5.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 0.0, A2: 31.92, A3: 3.125, A4: 2.0, A5: 1.0, A6: 1.0, A7: 3.04, A8: 0.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 200.0, A14: 5.0."}
{"id":56,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 51.83, A3: 3.0, A4: 1.0, A5: 1.0, A6: 1.0, A7: 1.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 180.0, A14: 5.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 51.83, A3: 3.0, A4: 1.0, A5: 1.0, A6: 1.0, A7: 1.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 180.0, A14: 5.0."}
{"id":57,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 39.0, A3: 5.0, A4: 2.0, A5: 13.0, A6: 4.0, A7: 3.5, A8: 1.0, A9: 1.0, A10: 10.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 39.0, A3: 5.0, A4: 2.0, A5: 13.0, A6: 4.0, A7: 3.5, A8: 1.0, A9: 1.0, A10: 10.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0."}
{"id":58,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 20.0, A3: 11.045, A4: 2.0, A5: 8.0, A6: 4.0, A7: 2.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 136.0, A14: 1.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 20.0, A3: 11.045, A4: 2.0, A5: 8.0, A6: 4.0, A7: 2.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 136.0, A14: 1.0."}
{"id":59,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 39.33, A3: 5.875, A4: 2.0, A5: 13.0, A6: 8.0, A7: 10.0, A8: 1.0, A9: 1.0, A10: 14.0, A11: 1.0, A12: 2.0, A13: 399.0, A14: 1.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 39.33, A3: 5.875, A4: 2.0, A5: 13.0, A6: 8.0, A7: 10.0, A8: 1.0, A9: 1.0, A10: 14.0, A11: 1.0, A12: 2.0, A13: 399.0, A14: 1.0."}
{"id":60,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 25.67, A3: 3.25, A4: 2.0, A5: 8.0, A6: 8.0, A7: 2.29, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 416.0, A14: 22.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 25.67, A3: 3.25, A4: 2.0, A5: 8.0, A6: 8.0, A7: 2.29, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 416.0, A14: 22.0."}
{"id":61,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 21.83, A3: 0.25, A4: 2.0, A5: 2.0, A6: 8.0, A7: 0.665, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 21.83, A3: 0.25, A4: 2.0, A5: 2.0, A6: 8.0, A7: 0.665, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0."}
{"id":62,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 36.67, A3: 4.415, A4: 1.0, A5: 4.0, A6: 4.0, A7: 0.25, A8: 1.0, A9: 1.0, A10: 10.0, A11: 1.0, A12: 2.0, A13: 320.0, A14: 1.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 36.67, A3: 4.415, A4: 1.0, A5: 4.0, A6: 4.0, A7: 0.25, A8: 1.0, A9: 1.0, A10: 10.0, A11: 1.0, A12: 2.0, A13: 320.0, A14: 1.0."}
{"id":63,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 22.17, A3: 2.25, A4: 2.0, A5: 3.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 160.0, A14: 11.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 22.17, A3: 2.25, A4: 2.0, A5: 3.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 160.0, A14: 11.0."}
{"id":64,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 19.42, A3: 1.5, A4: 1.0, A5: 13.0, A6: 4.0, A7: 2.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 100.0, A14: 21.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 19.42, A3: 1.5, A4: 1.0, A5: 13.0, A6: 4.0, A7: 2.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 100.0, A14: 21.0."}
{"id":65,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 31.0, A3: 2.085, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.085, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 300.0, A14: 1.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 31.0, A3: 2.085, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.085, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 300.0, A14: 1.0."}
{"id":66,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 16.0, A3: 3.125, A4: 2.0, A5: 9.0, A6: 4.0, A7: 0.085, A8: 0.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 7.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 16.0, A3: 3.125, A4: 2.0, A5: 9.0, A6: 4.0, A7: 0.085, A8: 0.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 7.0."}
{"id":67,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 25.17, A3: 3.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 1.25, A8: 0.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 23.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 25.17, A3: 3.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 1.25, A8: 0.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 23.0."}
{"id":68,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 50.25, A3: 0.835, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 240.0, A14: 118.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 0.0, A2: 50.25, A3: 0.835, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 240.0, A14: 118.0."}
{"id":69,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 36.58, A3: 0.29, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 1.0, A10: 10.0, A11: 0.0, A12: 2.0, A13: 200.0, A14: 19.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 0.0, A2: 36.58, A3: 0.29, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 1.0, A10: 10.0, A11: 0.0, A12: 2.0, A13: 200.0, A14: 19.0."}
{"id":70,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 20.83, A3: 3.0, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.04, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 100.0, A14: 1.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 0.0, A2: 20.83, A3: 3.0, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.04, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 100.0, A14: 1.0."}
{"id":71,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 28.92, A3: 15.0, A4: 2.0, A5: 8.0, A6: 8.0, A7: 5.335, A8: 1.0, A9: 1.0, A10: 11.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 2284.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 28.92, A3: 15.0, A4: 2.0, A5: 8.0, A6: 8.0, A7: 5.335, A8: 1.0, A9: 1.0, A10: 11.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 2284.0."}
{"id":72,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 22.5, A3: 8.5, A4: 2.0, A5: 11.0, A6: 4.0, A7: 1.75, A8: 1.0, A9: 1.0, A10: 10.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 991.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 0.0, A2: 22.5, A3: 8.5, A4: 2.0, A5: 11.0, A6: 4.0, A7: 1.75, A8: 1.0, A9: 1.0, A10: 10.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 991.0."}
{"id":73,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 23.25, A3: 12.625, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 5553.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 23.25, A3: 12.625, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 5553.0."}
{"id":74,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 29.5, A3: 1.085, A4: 1.0, A5: 14.0, A6: 4.0, A7: 1.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 280.0, A14: 14.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 0.0, A2: 29.5, A3: 1.085, A4: 1.0, A5: 14.0, A6: 4.0, A7: 1.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 280.0, A14: 14.0."}
{"id":75,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 32.0, A3: 6.0, A4: 2.0, A5: 2.0, A6: 4.0, A7: 1.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 272.0, A14: 1.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 0.0, A2: 32.0, A3: 6.0, A4: 2.0, A5: 2.0, A6: 4.0, A7: 1.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 272.0, A14: 1.0."}
{"id":76,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 20.5, A3: 11.835, A4: 2.0, A5: 8.0, A6: 8.0, A7: 6.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 340.0, A14: 1.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 0.0, A2: 20.5, A3: 11.835, A4: 2.0, A5: 8.0, A6: 8.0, A7: 6.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 340.0, A14: 1.0."}
{"id":77,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 29.83, A3: 1.25, A4: 1.0, A5: 4.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 224.0, A14: 1.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 29.83, A3: 1.25, A4: 1.0, A5: 4.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 224.0, A14: 1.0."}
{"id":78,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 21.17, A3: 0.25, A4: 1.0, A5: 8.0, A6: 8.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 280.0, A14: 205.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 21.17, A3: 0.25, A4: 1.0, A5: 8.0, A6: 8.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 280.0, A14: 205.0."}
{"id":79,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 24.83, A3: 4.5, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 360.0, A14: 7.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 0.0, A2: 24.83, A3: 4.5, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 360.0, A14: 7.0."}
{"id":80,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 36.33, A3: 3.79, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.165, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 200.0, A14: 1.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 36.33, A3: 3.79, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.165, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 200.0, A14: 1.0."}
{"id":81,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 47.25, A3: 0.75, A4: 2.0, A5: 11.0, A6: 8.0, A7: 2.75, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 333.0, A14: 893.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 0.0, A2: 47.25, A3: 0.75, A4: 2.0, A5: 11.0, A6: 8.0, A7: 2.75, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 333.0, A14: 893.0."}
{"id":82,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 30.58, A3: 10.665, A4: 2.0, A5: 11.0, A6: 8.0, A7: 0.085, A8: 0.0, A9: 1.0, A10: 12.0, A11: 1.0, A12: 2.0, A13: 129.0, A14: 4.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 0.0, A2: 30.58, A3: 10.665, A4: 2.0, A5: 11.0, A6: 8.0, A7: 0.085, A8: 0.0, A9: 1.0, A10: 12.0, A11: 1.0, A12: 2.0, A13: 129.0, A14: 4.0."}
{"id":83,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 32.67, A3: 5.5, A4: 2.0, A5: 11.0, A6: 8.0, A7: 5.5, A8: 1.0, A9: 1.0, A10: 12.0, A11: 1.0, A12: 2.0, A13: 408.0, A14: 1001.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 32.67, A3: 5.5, A4: 2.0, A5: 11.0, A6: 8.0, A7: 5.5, A8: 1.0, A9: 1.0, A10: 12.0, A11: 1.0, A12: 2.0, A13: 408.0, A14: 1001.0."}
{"id":84,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 40.58, A3: 3.29, A4: 2.0, A5: 7.0, A6: 4.0, A7: 3.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 400.0, A14: 1.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 40.58, A3: 3.29, A4: 2.0, A5: 7.0, A6: 4.0, A7: 3.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 400.0, A14: 1.0."}
{"id":85,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 24.42, A3: 2.0, A4: 2.0, A5: 10.0, A6: 2.0, A7: 0.165, A8: 0.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 320.0, A14: 1301.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 24.42, A3: 2.0, A4: 2.0, A5: 10.0, A6: 2.0, A7: 0.165, A8: 0.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 320.0, A14: 1301.0."}
{"id":86,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 23.08, A3: 11.5, A4: 2.0, A5: 3.0, A6: 4.0, A7: 3.5, A8: 1.0, A9: 1.0, A10: 9.0, A11: 0.0, A12: 2.0, A13: 56.0, A14: 743.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 23.08, A3: 11.5, A4: 2.0, A5: 3.0, A6: 4.0, A7: 3.5, A8: 1.0, A9: 1.0, A10: 9.0, A11: 0.0, A12: 2.0, A13: 56.0, A14: 743.0."}
{"id":87,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 20.17, A3: 9.25, A4: 2.0, A5: 8.0, A6: 4.0, A7: 1.665, A8: 1.0, A9: 1.0, A10: 3.0, A11: 1.0, A12: 2.0, A13: 40.0, A14: 29.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 20.17, A3: 9.25, A4: 2.0, A5: 8.0, A6: 4.0, A7: 1.665, A8: 1.0, A9: 1.0, A10: 3.0, A11: 1.0, A12: 2.0, A13: 40.0, A14: 29.0."}
{"id":88,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 23.58, A3: 0.46, A4: 1.0, A5: 9.0, A6: 4.0, A7: 2.625, A8: 1.0, A9: 1.0, A10: 6.0, A11: 1.0, A12: 2.0, A13: 208.0, A14: 348.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 23.58, A3: 0.46, A4: 1.0, A5: 9.0, A6: 4.0, A7: 2.625, A8: 1.0, A9: 1.0, A10: 6.0, A11: 1.0, A12: 2.0, A13: 208.0, A14: 348.0."}
{"id":89,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 60.58, A3: 16.5, A4: 2.0, A5: 11.0, A6: 4.0, A7: 11.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 21.0, A14: 10562.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 0.0, A2: 60.58, A3: 16.5, A4: 2.0, A5: 11.0, A6: 4.0, A7: 11.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 21.0, A14: 10562.0."}
{"id":90,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 21.5, A3: 9.75, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.25, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 140.0, A14: 1.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 21.5, A3: 9.75, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.25, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 140.0, A14: 1.0."}
{"id":91,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 51.33, A3: 10.0, A4: 2.0, A5: 3.0, A6: 5.0, A7: 0.0, A8: 1.0, A9: 1.0, A10: 11.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1250.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 51.33, A3: 10.0, A4: 2.0, A5: 3.0, A6: 5.0, A7: 0.0, A8: 1.0, A9: 1.0, A10: 11.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1250.0."}
{"id":92,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 33.67, A3: 0.375, A4: 2.0, A5: 13.0, A6: 4.0, A7: 0.375, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 300.0, A14: 45.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 0.0, A2: 33.67, A3: 0.375, A4: 2.0, A5: 13.0, A6: 4.0, A7: 0.375, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 300.0, A14: 45.0."}
{"id":93,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 47.67, A3: 2.5, A4: 2.0, A5: 7.0, A6: 5.0, A7: 2.5, A8: 1.0, A9: 1.0, A10: 12.0, A11: 1.0, A12: 2.0, A13: 410.0, A14: 2511.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 47.67, A3: 2.5, A4: 2.0, A5: 7.0, A6: 5.0, A7: 2.5, A8: 1.0, A9: 1.0, A10: 12.0, A11: 1.0, A12: 2.0, A13: 410.0, A14: 2511.0."}
{"id":94,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 19.33, A3: 9.5, A4: 2.0, A5: 11.0, A6: 4.0, A7: 1.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 60.0, A14: 401.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 19.33, A3: 9.5, A4: 2.0, A5: 11.0, A6: 4.0, A7: 1.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 60.0, A14: 401.0."}
{"id":95,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 18.17, A3: 10.25, A4: 2.0, A5: 8.0, A6: 8.0, A7: 1.085, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 320.0, A14: 14.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 18.17, A3: 10.25, A4: 2.0, A5: 8.0, A6: 8.0, A7: 1.085, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 320.0, A14: 14.0."}
{"id":96,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 45.83, A3: 10.5, A4: 2.0, A5: 11.0, A6: 4.0, A7: 5.0, A8: 1.0, A9: 1.0, A10: 7.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 0.0, A2: 45.83, A3: 10.5, A4: 2.0, A5: 11.0, A6: 4.0, A7: 5.0, A8: 1.0, A9: 1.0, A10: 7.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0."}
{"id":97,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 34.67, A3: 1.08, A4: 2.0, A5: 7.0, A6: 4.0, A7: 1.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 28.0, A14: 1.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 34.67, A3: 1.08, A4: 2.0, A5: 7.0, A6: 4.0, A7: 1.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 28.0, A14: 1.0."}
{"id":98,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 33.75, A3: 2.75, A4: 2.0, A5: 3.0, A6: 5.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 180.0, A14: 1.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 33.75, A3: 2.75, A4: 2.0, A5: 3.0, A6: 5.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 180.0, A14: 1.0."}
{"id":99,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 22.08, A3: 0.83, A4: 2.0, A5: 8.0, A6: 8.0, A7: 2.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 128.0, A14: 1.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 22.08, A3: 0.83, A4: 2.0, A5: 8.0, A6: 8.0, A7: 2.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 128.0, A14: 1.0."}
{"id":100,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 30.17, A3: 1.085, A4: 1.0, A5: 8.0, A6: 4.0, A7: 0.04, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 170.0, A14: 180.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 30.17, A3: 1.085, A4: 1.0, A5: 8.0, A6: 4.0, A7: 0.04, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 170.0, A14: 180.0."}
{"id":101,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 44.25, A3: 11.0, A4: 1.0, A5: 2.0, A6: 4.0, A7: 1.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 0.0, A14: 1.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 44.25, A3: 11.0, A4: 1.0, A5: 2.0, A6: 4.0, A7: 1.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 0.0, A14: 1.0."}
{"id":102,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 25.5, A3: 0.375, A4: 2.0, A5: 7.0, A6: 4.0, A7: 0.25, A8: 1.0, A9: 1.0, A10: 3.0, A11: 0.0, A12: 2.0, A13: 260.0, A14: 15109.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 25.5, A3: 0.375, A4: 2.0, A5: 7.0, A6: 4.0, A7: 0.25, A8: 1.0, A9: 1.0, A10: 3.0, A11: 0.0, A12: 2.0, A13: 260.0, A14: 15109.0."}
{"id":103,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 33.92, A3: 1.585, A4: 1.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 320.0, A14: 1.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 0.0, A2: 33.92, A3: 1.585, A4: 1.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 320.0, A14: 1.0."}
{"id":104,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 24.5, A3: 2.415, A4: 1.0, A5: 8.0, A6: 4.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 1.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 0.0, A2: 24.5, A3: 2.415, A4: 1.0, A5: 8.0, A6: 4.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 1.0."}
{"id":105,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 43.25, A3: 3.0, A4: 2.0, A5: 11.0, A6: 8.0, A7: 6.0, A8: 1.0, A9: 1.0, A10: 11.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 1.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 43.25, A3: 3.0, A4: 2.0, A5: 11.0, A6: 8.0, A7: 6.0, A8: 1.0, A9: 1.0, A10: 11.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 1.0."}
{"id":106,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 56.58, A3: 18.5, A4: 2.0, A5: 2.0, A6: 5.0, A7: 15.0, A8: 1.0, A9: 1.0, A10: 17.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 56.58, A3: 18.5, A4: 2.0, A5: 2.0, A6: 5.0, A7: 15.0, A8: 1.0, A9: 1.0, A10: 17.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0."}
{"id":107,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 44.17, A3: 6.665, A4: 2.0, A5: 11.0, A6: 4.0, A7: 7.375, A8: 1.0, A9: 1.0, A10: 3.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 0.0, A2: 44.17, A3: 6.665, A4: 2.0, A5: 11.0, A6: 4.0, A7: 7.375, A8: 1.0, A9: 1.0, A10: 3.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0."}
{"id":108,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 44.33, A3: 0.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 2.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 0.0, A2: 44.33, A3: 0.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 2.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0."}
{"id":109,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 23.92, A3: 0.585, A4: 1.0, A5: 13.0, A6: 8.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 240.0, A14: 2.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 23.92, A3: 0.585, A4: 1.0, A5: 13.0, A6: 8.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 240.0, A14: 2.0."}
{"id":110,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 21.17, A3: 0.875, A4: 1.0, A5: 8.0, A6: 8.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 280.0, A14: 205.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 21.17, A3: 0.875, A4: 1.0, A5: 8.0, A6: 8.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 280.0, A14: 205.0."}
{"id":111,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 38.25, A3: 6.0, A4: 2.0, A5: 4.0, A6: 4.0, A7: 1.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 0.0, A2: 38.25, A3: 6.0, A4: 2.0, A5: 4.0, A6: 4.0, A7: 1.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0."}
{"id":112,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 20.5, A3: 2.415, A4: 2.0, A5: 8.0, A6: 4.0, A7: 2.0, A8: 1.0, A9: 1.0, A10: 11.0, A11: 1.0, A12: 2.0, A13: 200.0, A14: 3001.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 20.5, A3: 2.415, A4: 2.0, A5: 8.0, A6: 4.0, A7: 2.0, A8: 1.0, A9: 1.0, A10: 11.0, A11: 1.0, A12: 2.0, A13: 200.0, A14: 3001.0."}
{"id":113,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 46.67, A3: 0.46, A4: 2.0, A5: 13.0, A6: 8.0, A7: 0.415, A8: 1.0, A9: 1.0, A10: 11.0, A11: 1.0, A12: 2.0, A13: 440.0, A14: 7.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 0.0, A2: 46.67, A3: 0.46, A4: 2.0, A5: 13.0, A6: 8.0, A7: 0.415, A8: 1.0, A9: 1.0, A10: 11.0, A11: 1.0, A12: 2.0, A13: 440.0, A14: 7.0."}
{"id":114,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 27.67, A3: 2.04, A4: 2.0, A5: 9.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 180.0, A14: 51.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 0.0, A2: 27.67, A3: 2.04, A4: 2.0, A5: 9.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 180.0, A14: 51.0."}
{"id":115,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 39.5, A3: 4.25, A4: 2.0, A5: 8.0, A6: 5.0, A7: 6.5, A8: 1.0, A9: 1.0, A10: 16.0, A11: 0.0, A12: 2.0, A13: 117.0, A14: 1211.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 39.5, A3: 4.25, A4: 2.0, A5: 8.0, A6: 5.0, A7: 6.5, A8: 1.0, A9: 1.0, A10: 16.0, A11: 0.0, A12: 2.0, A13: 117.0, A14: 1211.0."}
{"id":116,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 26.17, A3: 0.25, A4: 2.0, A5: 3.0, A6: 5.0, A7: 0.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 26.17, A3: 0.25, A4: 2.0, A5: 3.0, A6: 5.0, A7: 0.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0."}
{"id":117,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 39.42, A3: 1.71, A4: 1.0, A5: 7.0, A6: 4.0, A7: 0.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 400.0, A14: 1.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 39.42, A3: 1.71, A4: 1.0, A5: 7.0, A6: 4.0, A7: 0.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 400.0, A14: 1.0."}
{"id":118,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 27.58, A3: 3.0, A4: 2.0, A5: 7.0, A6: 4.0, A7: 2.79, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 280.0, A14: 11.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 0.0, A2: 27.58, A3: 3.0, A4: 2.0, A5: 7.0, A6: 4.0, A7: 2.79, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 280.0, A14: 11.0."}
{"id":119,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 18.42, A3: 9.25, A4: 2.0, A5: 11.0, A6: 4.0, A7: 1.21, A8: 1.0, A9: 1.0, A10: 4.0, A11: 0.0, A12: 2.0, A13: 60.0, A14: 541.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 0.0, A2: 18.42, A3: 9.25, A4: 2.0, A5: 11.0, A6: 4.0, A7: 1.21, A8: 1.0, A9: 1.0, A10: 4.0, A11: 0.0, A12: 2.0, A13: 60.0, A14: 541.0."}
{"id":120,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 25.67, A3: 2.21, A4: 1.0, A5: 6.0, A6: 4.0, A7: 4.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 188.0, A14: 1.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 25.67, A3: 2.21, A4: 1.0, A5: 6.0, A6: 4.0, A7: 4.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 188.0, A14: 1.0."}
{"id":121,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 22.92, A3: 3.165, A4: 1.0, A5: 8.0, A6: 4.0, A7: 0.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 160.0, A14: 1059.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 22.92, A3: 3.165, A4: 1.0, A5: 8.0, A6: 4.0, A7: 0.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 160.0, A14: 1059.0."}
{"id":122,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 28.42, A3: 3.5, A4: 2.0, A5: 9.0, A6: 4.0, A7: 0.835, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 280.0, A14: 1.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 0.0, A2: 28.42, A3: 3.5, A4: 2.0, A5: 9.0, A6: 4.0, A7: 0.835, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 280.0, A14: 1.0."}
{"id":123,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 18.58, A3: 10.29, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.415, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 1.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 18.58, A3: 10.29, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.415, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 1.0."}
{"id":124,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 21.67, A3: 1.165, A4: 1.0, A5: 4.0, A6: 4.0, A7: 2.5, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 180.0, A14: 21.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 21.67, A3: 1.165, A4: 1.0, A5: 4.0, A6: 4.0, A7: 2.5, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 180.0, A14: 21.0."}
{"id":125,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 48.17, A3: 3.5, A4: 2.0, A5: 6.0, A6: 4.0, A7: 3.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 230.0, A14: 1.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 48.17, A3: 3.5, A4: 2.0, A5: 6.0, A6: 4.0, A7: 3.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 230.0, A14: 1.0."}
{"id":126,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 35.17, A3: 25.125, A4: 2.0, A5: 14.0, A6: 8.0, A7: 1.625, A8: 1.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 515.0, A14: 501.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 35.17, A3: 25.125, A4: 2.0, A5: 14.0, A6: 8.0, A7: 1.625, A8: 1.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 515.0, A14: 501.0."}
{"id":127,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 18.67, A3: 5.0, A4: 2.0, A5: 11.0, A6: 4.0, A7: 0.375, A8: 1.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 39.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 18.67, A3: 5.0, A4: 2.0, A5: 11.0, A6: 4.0, A7: 0.375, A8: 1.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 39.0."}
{"id":128,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 19.75, A3: 0.75, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.795, A8: 1.0, A9: 1.0, A10: 5.0, A11: 1.0, A12: 2.0, A13: 140.0, A14: 6.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 0.0, A2: 19.75, A3: 0.75, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.795, A8: 1.0, A9: 1.0, A10: 5.0, A11: 1.0, A12: 2.0, A13: 140.0, A14: 6.0."}
{"id":129,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 26.17, A3: 0.835, A4: 2.0, A5: 13.0, A6: 4.0, A7: 1.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 100.0, A14: 1.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 26.17, A3: 0.835, A4: 2.0, A5: 13.0, A6: 4.0, A7: 1.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 100.0, A14: 1.0."}
{"id":130,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 39.5, A3: 1.625, A4: 2.0, A5: 8.0, A6: 4.0, A7: 1.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 317.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 39.5, A3: 1.625, A4: 2.0, A5: 8.0, A6: 4.0, A7: 1.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 317.0."}
{"id":131,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 22.5, A3: 0.415, A4: 2.0, A5: 3.0, A6: 4.0, A7: 0.335, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 144.0, A14: 1.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 0.0, A2: 22.5, A3: 0.415, A4: 2.0, A5: 3.0, A6: 4.0, A7: 0.335, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 144.0, A14: 1.0."}
{"id":132,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 20.0, A3: 0.0, A4: 2.0, A5: 2.0, A6: 4.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 144.0, A14: 1.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 20.0, A3: 0.0, A4: 2.0, A5: 2.0, A6: 4.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 144.0, A14: 1.0."}
{"id":133,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 17.67, A3: 4.46, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 80.0, A14: 1.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 17.67, A3: 4.46, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 80.0, A14: 1.0."}
{"id":134,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 22.67, A3: 2.54, A4: 1.0, A5: 8.0, A6: 8.0, A7: 2.585, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 1.0, A2: 22.67, A3: 2.54, A4: 1.0, A5: 8.0, A6: 8.0, A7: 2.585, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0."}
{"id":135,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 25.75, A3: 0.5, A4: 2.0, A5: 8.0, A6: 8.0, A7: 0.875, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 491.0, A14: 1.0. \n","answer":"good","choices":["good","bad"],"gold":0,"text":"The client has attributes: A1: 0.0, A2: 25.75, A3: 0.5, A4: 2.0, A5: 8.0, A6: 8.0, A7: 0.875, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 491.0, A14: 1.0."}
{"id":136,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 0.0, A2: 22.75, A3: 6.165, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 220.0, A14: 1001.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 0.0, A2: 22.75, A3: 6.165, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 220.0, A14: 1001.0."}
{"id":137,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 35.25, A3: 16.5, A4: 1.0, A5: 8.0, A6: 4.0, A7: 4.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 1.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 35.25, A3: 16.5, A4: 1.0, A5: 8.0, A6: 4.0, A7: 4.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 1.0."}
{"id":138,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n Text: The client has attributes: A1: 1.0, A2: 20.67, A3: 0.415, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 45.0. \n","answer":"bad","choices":["good","bad"],"gold":1,"text":"The client has attributes: A1: 1.0, A2: 20.67, A3: 0.415, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 45.0."}
|