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100 | 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'.
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.
| bad | [
"good",
"bad"
] | 1 | 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. |
101 | 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'.
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.
| bad | [
"good",
"bad"
] | 1 | 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. |
102 | 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'.
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.
| good | [
"good",
"bad"
] | 0 | 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. |
103 | 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'.
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.
| bad | [
"good",
"bad"
] | 1 | 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. |
104 | 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'.
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.
| bad | [
"good",
"bad"
] | 1 | 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. |
105 | 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'.
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.
| good | [
"good",
"bad"
] | 0 | 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. |
106 | 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'.
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.
| good | [
"good",
"bad"
] | 0 | 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. |
107 | 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'.
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.
| good | [
"good",
"bad"
] | 0 | 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. |
108 | 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'.
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.
| good | [
"good",
"bad"
] | 0 | 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. |
109 | 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'.
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.
| bad | [
"good",
"bad"
] | 1 | 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. |
110 | 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'.
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.
| bad | [
"good",
"bad"
] | 1 | 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. |
111 | 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'.
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.
| good | [
"good",
"bad"
] | 0 | 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. |
112 | 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'.
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.
| good | [
"good",
"bad"
] | 0 | 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. |
113 | 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'.
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.
| good | [
"good",
"bad"
] | 0 | 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. |
114 | 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'.
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.
| bad | [
"good",
"bad"
] | 1 | 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. |
115 | 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'.
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.
| good | [
"good",
"bad"
] | 0 | 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. |
116 | 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'.
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.
| good | [
"good",
"bad"
] | 0 | 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. |
117 | 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'.
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.
| bad | [
"good",
"bad"
] | 1 | 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. |
118 | 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'.
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.
| bad | [
"good",
"bad"
] | 1 | 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. |
119 | 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'.
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.
| good | [
"good",
"bad"
] | 0 | 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. |
120 | 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'.
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.
| bad | [
"good",
"bad"
] | 1 | 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. |
121 | 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'.
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.
| bad | [
"good",
"bad"
] | 1 | 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. |
122 | 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'.
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.
| good | [
"good",
"bad"
] | 0 | 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. |
123 | 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'.
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.
| bad | [
"good",
"bad"
] | 1 | 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. |
124 | 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'.
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.
| bad | [
"good",
"bad"
] | 1 | 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. |
125 | 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'.
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.
| good | [
"good",
"bad"
] | 0 | 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. |
126 | 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'.
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.
| good | [
"good",
"bad"
] | 0 | 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. |
127 | 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'.
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.
| bad | [
"good",
"bad"
] | 1 | 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. |
128 | 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'.
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.
| bad | [
"good",
"bad"
] | 1 | 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. |
129 | 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'.
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.
| bad | [
"good",
"bad"
] | 1 | 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. |
130 | 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'.
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.
| bad | [
"good",
"bad"
] | 1 | 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. |
131 | 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'.
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.
| bad | [
"good",
"bad"
] | 1 | 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. |
132 | 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'.
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.
| bad | [
"good",
"bad"
] | 1 | 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. |
133 | 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'.
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.
| bad | [
"good",
"bad"
] | 1 | 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. |
134 | 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'.
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.
| good | [
"good",
"bad"
] | 0 | 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. |
135 | 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'.
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.
| good | [
"good",
"bad"
] | 0 | 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. |
136 | 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'.
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.
| bad | [
"good",
"bad"
] | 1 | 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. |
137 | 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'.
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.
| bad | [
"good",
"bad"
] | 1 | 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. |
138 | 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'.
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.
| bad | [
"good",
"bad"
] | 1 | 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. |