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200 | 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: 0.5, A4: 2.0, A5: 8.0, A6: 4.0, A7: 1.75, A8: 1.0, A9: 1.0, A10: 11.0, A11: 0.0, A12: 2.0, A13: 32.0, A14: 541.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 30.17, A3: 0.5, A4: 2.0, A5: 8.0, A6: 4.0, A7: 1.75, A8: 1.0, A9: 1.0, A10: 11.0, A11: 0.0, A12: 2.0, A13: 32.0, A14: 541.0. |
201 | 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: 25.0, A3: 11.25, A4: 2.0, A5: 8.0, A6: 4.0, A7: 2.5, A8: 1.0, A9: 1.0, A10: 17.0, A11: 0.0, A12: 2.0, A13: 200.0, A14: 1209.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 25.0, A3: 11.25, A4: 2.0, A5: 8.0, A6: 4.0, A7: 2.5, A8: 1.0, A9: 1.0, A10: 17.0, A11: 0.0, A12: 2.0, A13: 200.0, A14: 1209.0. |
202 | 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: 23.08, A3: 11.5, A4: 2.0, A5: 9.0, A6: 8.0, A7: 2.125, A8: 1.0, A9: 1.0, A10: 11.0, A11: 1.0, A12: 2.0, A13: 290.0, A14: 285.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 23.08, A3: 11.5, A4: 2.0, A5: 9.0, A6: 8.0, A7: 2.125, A8: 1.0, A9: 1.0, A10: 11.0, A11: 1.0, A12: 2.0, A13: 290.0, A14: 285.0. |
203 | 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: 18.25, A3: 10.0, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.0, A8: 0.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 2.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 18.25, A3: 10.0, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.0, A8: 0.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 2.0. |
204 | 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: 28.5, A3: 1.0, A4: 2.0, A5: 11.0, A6: 4.0, A7: 1.0, A8: 1.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 167.0, A14: 501.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 28.5, A3: 1.0, A4: 2.0, A5: 11.0, A6: 4.0, A7: 1.0, A8: 1.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 167.0, A14: 501.0. |
205 | 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: 65.42, A3: 11.0, A4: 2.0, A5: 10.0, A6: 9.0, A7: 20.0, A8: 1.0, A9: 1.0, A10: 7.0, A11: 1.0, A12: 2.0, A13: 22.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 65.42, A3: 11.0, A4: 2.0, A5: 10.0, A6: 9.0, A7: 20.0, A8: 1.0, A9: 1.0, A10: 7.0, A11: 1.0, A12: 2.0, A13: 22.0, A14: 1.0. |
206 | 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: 36.08, A3: 2.54, 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: 2.0, A13: 0.0, A14: 1001.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 36.08, A3: 2.54, 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: 2.0, A13: 0.0, A14: 1001.0. |
207 | 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: 21.25, A3: 1.5, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 150.0, A14: 9.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 21.25, A3: 1.5, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 150.0, A14: 9.0. |
208 | 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: 31.57, A3: 0.5, A4: 2.0, A5: 8.0, A6: 5.0, A7: 0.835, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 320.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 31.57, A3: 0.5, A4: 2.0, A5: 8.0, A6: 5.0, A7: 0.835, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 320.0, A14: 1.0. |
209 | 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: 18.25, A3: 0.165, A4: 2.0, A5: 2.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 280.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 18.25, A3: 0.165, A4: 2.0, A5: 2.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 280.0, A14: 1.0. |
210 | 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: 22.08, A3: 2.335, A4: 2.0, A5: 4.0, A6: 4.0, A7: 0.75, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 180.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 22.08, A3: 2.335, A4: 2.0, A5: 4.0, A6: 4.0, A7: 0.75, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 180.0, A14: 1.0. |
211 | 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: 22.42, A3: 11.25, A4: 1.0, A5: 14.0, A6: 8.0, A7: 0.75, A8: 1.0, A9: 1.0, A10: 4.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 322.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 22.42, A3: 11.25, A4: 1.0, A5: 14.0, A6: 8.0, A7: 0.75, A8: 1.0, A9: 1.0, A10: 4.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 322.0. |
212 | 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: 1.585, A4: 1.0, A5: 9.0, A6: 4.0, A7: 3.085, A8: 1.0, A9: 1.0, A10: 6.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 22.67, A3: 1.585, A4: 1.0, A5: 9.0, A6: 4.0, A7: 3.085, A8: 1.0, A9: 1.0, A10: 6.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 1.0. |
213 | 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: 25.0, A3: 11.0, A4: 1.0, A5: 6.0, A6: 4.0, A7: 4.5, A8: 1.0, 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: 25.0, A3: 11.0, A4: 1.0, A5: 6.0, A6: 4.0, A7: 4.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 1.0. |
214 | 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: 23.08, A3: 2.5, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.085, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 100.0, A14: 4209.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 23.08, A3: 2.5, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.085, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 100.0, A14: 4209.0. |
215 | 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: 39.83, A3: 0.5, A4: 2.0, A5: 7.0, A6: 4.0, A7: 0.25, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 288.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 39.83, A3: 0.5, A4: 2.0, A5: 7.0, A6: 4.0, A7: 0.25, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 288.0, A14: 1.0. |
216 | 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: 34.0, A3: 4.5, A4: 2.0, A5: 6.0, A6: 4.0, A7: 1.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 240.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 34.0, A3: 4.5, A4: 2.0, A5: 6.0, A6: 4.0, A7: 1.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 240.0, A14: 1.0. |
217 | 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: 29.58, A3: 4.5, A4: 2.0, A5: 9.0, A6: 4.0, A7: 7.5, A8: 1.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 330.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 29.58, A3: 4.5, A4: 2.0, A5: 9.0, A6: 4.0, A7: 7.5, A8: 1.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 330.0, A14: 1.0. |
218 | 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: 40.58, A3: 5.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 5.0, A8: 1.0, A9: 1.0, A10: 7.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 3066.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 40.58, A3: 5.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 5.0, A8: 1.0, A9: 1.0, A10: 7.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 3066.0. |
219 | 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: 10.0, A4: 1.0, A5: 8.0, A6: 4.0, A7: 2.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 40.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 20.5, A3: 10.0, A4: 1.0, A5: 8.0, A6: 4.0, A7: 2.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 40.0, A14: 1.0. |
220 | 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: 23.0, A3: 11.75, A4: 2.0, A5: 14.0, A6: 8.0, A7: 0.5, A8: 1.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 300.0, A14: 552.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 23.0, A3: 11.75, A4: 2.0, A5: 14.0, A6: 8.0, A7: 0.5, A8: 1.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 300.0, A14: 552.0. |
221 | 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: 42.75, A3: 4.085, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.04, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 108.0, A14: 101.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 42.75, A3: 4.085, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.04, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 108.0, A14: 101.0. |
222 | 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: 4.5, A4: 2.0, A5: 14.0, A6: 8.0, A7: 5.75, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 711.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 35.17, A3: 4.5, A4: 2.0, A5: 14.0, A6: 8.0, A7: 5.75, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 711.0, A14: 1.0. |
223 | 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: 37.33, A3: 6.5, A4: 2.0, A5: 7.0, A6: 8.0, A7: 4.25, A8: 1.0, A9: 1.0, A10: 12.0, A11: 1.0, A12: 2.0, A13: 93.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 37.33, A3: 6.5, A4: 2.0, A5: 7.0, A6: 8.0, A7: 4.25, A8: 1.0, A9: 1.0, A10: 12.0, A11: 1.0, A12: 2.0, A13: 93.0, A14: 1.0. |
224 | 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: 28.58, A3: 3.54, A4: 2.0, A5: 3.0, A6: 5.0, A7: 0.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 171.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 28.58, A3: 3.54, A4: 2.0, A5: 3.0, A6: 5.0, A7: 0.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 171.0, A14: 1.0. |
225 | 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: 21.25, A3: 2.335, A4: 2.0, A5: 3.0, A6: 5.0, A7: 0.5, A8: 1.0, A9: 1.0, A10: 4.0, A11: 0.0, A12: 1.0, A13: 80.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 21.25, A3: 2.335, A4: 2.0, A5: 3.0, A6: 5.0, A7: 0.5, A8: 1.0, A9: 1.0, A10: 4.0, A11: 0.0, A12: 1.0, A13: 80.0, A14: 1.0. |
226 | 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: 0.0, 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: 0.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 21.17, A3: 0.0, 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: 0.0, A14: 1.0. |
227 | 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: 39.17, A3: 1.625, A4: 2.0, A5: 8.0, A6: 4.0, A7: 1.5, A8: 1.0, A9: 1.0, A10: 10.0, A11: 0.0, A12: 2.0, A13: 186.0, A14: 4701.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 39.17, A3: 1.625, A4: 2.0, A5: 8.0, A6: 4.0, A7: 1.5, A8: 1.0, A9: 1.0, A10: 10.0, A11: 0.0, A12: 2.0, A13: 186.0, A14: 4701.0. |
228 | 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: 26.83, A3: 0.54, A4: 2.0, A5: 4.0, A6: 1.0, A7: 0.0, 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: 26.83, A3: 0.54, A4: 2.0, A5: 4.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 100.0, A14: 1.0. |
229 | 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: 40.58, A3: 1.5, 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: 1.0, A13: 300.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 40.58, A3: 1.5, 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: 1.0, A13: 300.0, A14: 1.0. |
230 | 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: 52.17, A3: 0.0, A4: 1.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 52.17, A3: 0.0, A4: 1.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0. |
231 | 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: 15.17, A3: 7.0, A4: 2.0, A5: 10.0, A6: 4.0, A7: 1.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 600.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 15.17, A3: 7.0, A4: 2.0, A5: 10.0, A6: 4.0, A7: 1.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 600.0, A14: 1.0. |
232 | 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: 7.625, A4: 2.0, A5: 9.0, A6: 8.0, A7: 15.5, A8: 1.0, A9: 1.0, A10: 12.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 791.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 48.17, A3: 7.625, A4: 2.0, A5: 9.0, A6: 8.0, A7: 15.5, A8: 1.0, A9: 1.0, A10: 12.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 791.0. |
233 | 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: 57.42, A3: 8.5, A4: 2.0, A5: 10.0, A6: 8.0, A7: 7.0, A8: 1.0, A9: 1.0, A10: 3.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 57.42, A3: 8.5, A4: 2.0, A5: 10.0, A6: 8.0, A7: 7.0, A8: 1.0, A9: 1.0, A10: 3.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0. |
234 | 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: 22.17, A3: 12.125, A4: 2.0, A5: 8.0, A6: 4.0, A7: 3.335, A8: 0.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 180.0, A14: 174.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 22.17, A3: 12.125, A4: 2.0, A5: 8.0, A6: 4.0, A7: 3.335, A8: 0.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 180.0, A14: 174.0. |
235 | 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: 32.42, A3: 2.165, A4: 1.0, A5: 4.0, A6: 1.0, 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: 1.0, A2: 32.42, A3: 2.165, A4: 1.0, A5: 4.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 1.0. |
236 | 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: 29.92, A3: 1.835, A4: 2.0, A5: 8.0, A6: 8.0, A7: 4.335, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 260.0, A14: 201.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 29.92, A3: 1.835, A4: 2.0, A5: 8.0, A6: 8.0, A7: 4.335, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 260.0, A14: 201.0. |
237 | 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: 34.92, A3: 2.5, A4: 2.0, A5: 9.0, A6: 4.0, A7: 0.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 239.0, A14: 201.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 34.92, A3: 2.5, A4: 2.0, A5: 9.0, A6: 4.0, A7: 0.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 239.0, A14: 201.0. |
238 | 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: 34.08, A3: 6.5, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.125, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 443.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 34.08, A3: 6.5, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.125, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 443.0, A14: 1.0. |
239 | 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: 25.21, A4: 2.0, A5: 11.0, A6: 8.0, A7: 0.21, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 760.0, A14: 91.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 43.25, A3: 25.21, A4: 2.0, A5: 11.0, A6: 8.0, A7: 0.21, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 760.0, A14: 91.0. |
240 | 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: 27.25, A3: 0.29, A4: 2.0, A5: 7.0, A6: 8.0, A7: 0.125, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 272.0, A14: 109.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 27.25, A3: 0.29, A4: 2.0, A5: 7.0, A6: 8.0, A7: 0.125, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 272.0, A14: 109.0. |
241 | 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: 23.33, A3: 11.625, A4: 1.0, A5: 9.0, A6: 4.0, A7: 0.835, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 160.0, A14: 301.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 23.33, A3: 11.625, A4: 1.0, A5: 9.0, A6: 4.0, A7: 0.835, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 160.0, A14: 301.0. |
242 | 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: 32.17, A3: 1.46, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.085, A8: 1.0, A9: 1.0, A10: 16.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 2080.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 32.17, A3: 1.46, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.085, A8: 1.0, A9: 1.0, A10: 16.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 2080.0. |
243 | 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: 18.83, A3: 3.54, A4: 1.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 180.0, A14: 2.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 18.83, A3: 3.54, A4: 1.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 180.0, A14: 2.0. |
244 | 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: 21.5, A3: 11.5, A4: 2.0, A5: 3.0, A6: 4.0, A7: 0.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 100.0, A14: 69.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 21.5, A3: 11.5, A4: 2.0, A5: 3.0, A6: 4.0, A7: 0.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 100.0, A14: 69.0. |
245 | 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: 21.08, A3: 5.0, A4: 1.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 21.08, A3: 5.0, A4: 1.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0. |
246 | 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: 41.0, A3: 2.04, A4: 1.0, A5: 11.0, A6: 8.0, A7: 0.125, A8: 1.0, A9: 1.0, A10: 23.0, A11: 1.0, A12: 2.0, A13: 455.0, A14: 1237.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 41.0, A3: 2.04, A4: 1.0, A5: 11.0, A6: 8.0, A7: 0.125, A8: 1.0, A9: 1.0, A10: 23.0, A11: 1.0, A12: 2.0, A13: 455.0, A14: 1237.0. |
247 | 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: 42.0, A3: 9.79, A4: 2.0, A5: 14.0, A6: 8.0, A7: 7.96, A8: 1.0, A9: 1.0, A10: 8.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 42.0, A3: 9.79, A4: 2.0, A5: 14.0, A6: 8.0, A7: 7.96, A8: 1.0, A9: 1.0, A10: 8.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0. |
248 | 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: 31.25, A3: 2.835, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 1.0, A10: 5.0, A11: 0.0, A12: 2.0, A13: 176.0, A14: 147.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 31.25, A3: 2.835, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 1.0, A10: 5.0, A11: 0.0, A12: 2.0, A13: 176.0, A14: 147.0. |
249 | 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: 36.33, A3: 2.125, A4: 1.0, A5: 9.0, A6: 4.0, A7: 0.085, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 50.0, A14: 1188.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 36.33, A3: 2.125, A4: 1.0, A5: 9.0, A6: 4.0, A7: 0.085, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 50.0, A14: 1188.0. |
250 | 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: 1.25, A4: 1.0, A5: 4.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 140.0, A14: 5.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 20.0, A3: 1.25, A4: 1.0, A5: 4.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 140.0, A14: 5.0. |
251 | 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: 52.5, A3: 6.5, A4: 2.0, A5: 4.0, A6: 4.0, A7: 6.29, A8: 1.0, A9: 1.0, A10: 15.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 11203.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 52.5, A3: 6.5, A4: 2.0, A5: 4.0, A6: 4.0, A7: 6.29, A8: 1.0, A9: 1.0, A10: 15.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 11203.0. |
252 | 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: 44.33, A3: 0.5, A4: 2.0, A5: 3.0, A6: 8.0, A7: 5.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 320.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 44.33, A3: 0.5, A4: 2.0, A5: 3.0, A6: 8.0, A7: 5.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 320.0, A14: 1.0. |
253 | 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: 32.25, A3: 14.0, A4: 1.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 160.0, A14: 2.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 32.25, A3: 14.0, A4: 1.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 160.0, A14: 2.0. |
254 | 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: 22.5, A3: 11.5, A4: 1.0, A5: 7.0, A6: 4.0, A7: 1.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 4001.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 22.5, A3: 11.5, A4: 1.0, A5: 7.0, A6: 4.0, A7: 1.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 4001.0. |
255 | 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: 27.83, A3: 4.0, A4: 1.0, A5: 3.0, A6: 8.0, A7: 5.75, A8: 1.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 75.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 27.83, A3: 4.0, A4: 1.0, A5: 3.0, A6: 8.0, A7: 5.75, A8: 1.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 75.0, A14: 1.0. |
256 | 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: 38.58, A3: 5.0, A4: 2.0, A5: 13.0, A6: 4.0, A7: 13.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 980.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 38.58, A3: 5.0, A4: 2.0, A5: 13.0, A6: 4.0, A7: 13.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 980.0, A14: 1.0. |
257 | 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: 25.25, A3: 13.5, A4: 1.0, A5: 1.0, A6: 1.0, A7: 2.0, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 200.0, A14: 2.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 25.25, A3: 13.5, A4: 1.0, A5: 1.0, A6: 1.0, A7: 2.0, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 200.0, A14: 2.0. |
258 | 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: 26.0, A3: 1.0, A4: 2.0, A5: 11.0, A6: 4.0, A7: 1.75, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 280.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 26.0, A3: 1.0, A4: 2.0, A5: 11.0, A6: 4.0, A7: 1.75, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 280.0, A14: 1.0. |
259 | 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: 34.58, A3: 0.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 3.0, A13: 184.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 34.58, A3: 0.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 3.0, A13: 184.0, A14: 1.0. |
260 | 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: 22.92, A3: 11.585, A4: 2.0, A5: 13.0, A6: 4.0, A7: 0.04, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 1350.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 22.92, A3: 11.585, A4: 2.0, A5: 13.0, A6: 4.0, A7: 0.04, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 1350.0. |
261 | 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: 64.08, A3: 20.0, A4: 2.0, A5: 14.0, A6: 8.0, A7: 17.5, A8: 1.0, A9: 1.0, A10: 9.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1001.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 64.08, A3: 20.0, A4: 2.0, A5: 14.0, A6: 8.0, A7: 17.5, A8: 1.0, A9: 1.0, A10: 9.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1001.0. |
262 | 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: 27.75, A3: 1.29, A4: 2.0, A5: 4.0, A6: 8.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 140.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 27.75, A3: 1.29, A4: 2.0, A5: 4.0, A6: 8.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 140.0, A14: 1.0. |
263 | 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: 34.83, A3: 1.25, A4: 1.0, A5: 3.0, A6: 8.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 160.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 34.83, A3: 1.25, A4: 1.0, A5: 3.0, A6: 8.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 160.0, A14: 1.0. |
264 | 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: 49.0, A3: 1.5, A4: 2.0, A5: 5.0, A6: 3.0, A7: 0.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 100.0, A14: 28.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 49.0, A3: 1.5, A4: 2.0, A5: 5.0, A6: 3.0, A7: 0.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 100.0, A14: 28.0. |
265 | 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: 22.25, A3: 1.25, A4: 1.0, A5: 1.0, A6: 1.0, A7: 3.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 280.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 22.25, A3: 1.25, A4: 1.0, A5: 1.0, A6: 1.0, A7: 3.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 280.0, A14: 1.0. |
266 | 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: 48.08, A3: 6.04, A4: 2.0, A5: 4.0, 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: 2691.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 48.08, A3: 6.04, A4: 2.0, A5: 4.0, 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: 2691.0. |
267 | 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: 42.08, A3: 1.04, A4: 2.0, A5: 9.0, A6: 4.0, A7: 5.0, A8: 1.0, A9: 1.0, A10: 6.0, A11: 1.0, A12: 2.0, A13: 500.0, A14: 10001.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 42.08, A3: 1.04, A4: 2.0, A5: 9.0, A6: 4.0, A7: 5.0, A8: 1.0, A9: 1.0, A10: 6.0, A11: 1.0, A12: 2.0, A13: 500.0, A14: 10001.0. |
268 | 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: 34.75, A3: 2.5, A4: 2.0, A5: 13.0, A6: 5.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 348.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 34.75, A3: 2.5, A4: 2.0, A5: 13.0, A6: 5.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 348.0, A14: 1.0. |
269 | 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: 36.0, A3: 1.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 2.0, A8: 1.0, A9: 1.0, A10: 11.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 457.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 36.0, A3: 1.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 2.0, A8: 1.0, A9: 1.0, A10: 11.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 457.0. |
270 | 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: 26.67, A3: 2.71, A4: 1.0, A5: 13.0, A6: 4.0, A7: 5.25, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 211.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 26.67, A3: 2.71, A4: 1.0, A5: 13.0, A6: 4.0, A7: 5.25, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 211.0, A14: 1.0. |
271 | 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: 23.75, A3: 0.71, A4: 2.0, A5: 9.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 240.0, A14: 5.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 23.75, A3: 0.71, A4: 2.0, A5: 9.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 240.0, A14: 5.0. |
272 | 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: 63.33, A3: 0.54, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.585, A8: 1.0, A9: 1.0, A10: 3.0, A11: 1.0, A12: 2.0, A13: 180.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 63.33, A3: 0.54, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.585, A8: 1.0, A9: 1.0, A10: 3.0, A11: 1.0, A12: 2.0, A13: 180.0, A14: 1.0. |
273 | 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: 22.33, A3: 11.0, A4: 2.0, A5: 9.0, A6: 4.0, A7: 2.0, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 279.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 22.33, A3: 11.0, A4: 2.0, A5: 9.0, A6: 4.0, A7: 2.0, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 279.0. |
274 | 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: 17.92, A3: 10.21, 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: 2.0, A13: 0.0, A14: 51.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 17.92, A3: 10.21, 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: 2.0, A13: 0.0, A14: 51.0. |
275 | 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: 16.33, A3: 0.21, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 200.0, A14: 2.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 16.33, A3: 0.21, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 200.0, A14: 2.0. |
276 | 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: 52.5, A3: 7.0, A4: 2.0, A5: 6.0, A6: 8.0, A7: 3.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 52.5, A3: 7.0, A4: 2.0, A5: 6.0, A6: 8.0, A7: 3.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0. |
277 | 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: 47.17, A3: 5.835, A4: 2.0, A5: 9.0, A6: 4.0, A7: 5.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 465.0, A14: 151.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 47.17, A3: 5.835, A4: 2.0, A5: 9.0, A6: 4.0, A7: 5.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 465.0, A14: 151.0. |
278 | 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: 21.67, A3: 11.5, A4: 1.0, A5: 5.0, A6: 3.0, A7: 0.0, A8: 1.0, A9: 1.0, A10: 11.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 21.67, A3: 11.5, A4: 1.0, A5: 5.0, A6: 3.0, A7: 0.0, A8: 1.0, A9: 1.0, A10: 11.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0. |
279 | 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: 41.17, A3: 6.5, A4: 2.0, A5: 11.0, A6: 4.0, A7: 0.5, A8: 1.0, A9: 1.0, A10: 3.0, A11: 1.0, A12: 2.0, A13: 145.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 41.17, A3: 6.5, A4: 2.0, A5: 11.0, A6: 4.0, A7: 0.5, A8: 1.0, A9: 1.0, A10: 3.0, A11: 1.0, A12: 2.0, A13: 145.0, A14: 1.0. |
280 | 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: 25.58, A3: 0.335, A4: 2.0, A5: 4.0, A6: 8.0, A7: 3.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 340.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 25.58, A3: 0.335, A4: 2.0, A5: 4.0, A6: 8.0, A7: 3.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 340.0, A14: 1.0. |
281 | 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: 30.33, A3: 0.5, A4: 2.0, A5: 2.0, A6: 8.0, A7: 0.085, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 252.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 30.33, A3: 0.5, A4: 2.0, A5: 2.0, A6: 8.0, A7: 0.085, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 252.0, A14: 1.0. |
282 | 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: 3.165, A4: 2.0, A5: 14.0, A6: 8.0, A7: 3.75, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 680.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 35.25, A3: 3.165, A4: 2.0, A5: 14.0, A6: 8.0, A7: 3.75, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 680.0, A14: 1.0. |
283 | 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: 17.5, A3: 22.0, A4: 3.0, A5: 1.0, A6: 7.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 3.0, A13: 450.0, A14: 100001.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 17.5, A3: 22.0, A4: 3.0, A5: 1.0, A6: 7.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 3.0, A13: 450.0, A14: 100001.0. |
284 | 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: 48.5, A3: 4.25, A4: 2.0, A5: 7.0, A6: 4.0, A7: 0.125, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 225.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 48.5, A3: 4.25, A4: 2.0, A5: 7.0, A6: 4.0, A7: 0.125, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 225.0, A14: 1.0. |
285 | 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: 49.5, A3: 7.585, A4: 2.0, A5: 3.0, A6: 5.0, A7: 7.585, A8: 1.0, A9: 1.0, A10: 15.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 5001.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 49.5, A3: 7.585, A4: 2.0, A5: 3.0, A6: 5.0, A7: 7.585, A8: 1.0, A9: 1.0, A10: 15.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 5001.0. |
286 | 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: 41.92, A3: 0.42, A4: 2.0, A5: 8.0, A6: 8.0, A7: 0.21, A8: 1.0, A9: 1.0, A10: 6.0, A11: 0.0, A12: 2.0, A13: 220.0, A14: 949.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 41.92, A3: 0.42, A4: 2.0, A5: 8.0, A6: 8.0, A7: 0.21, A8: 1.0, A9: 1.0, A10: 6.0, A11: 0.0, A12: 2.0, A13: 220.0, A14: 949.0. |
287 | 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: 23.5, A3: 3.165, A4: 1.0, A5: 4.0, A6: 4.0, A7: 0.415, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 280.0, A14: 81.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 23.5, A3: 3.165, A4: 1.0, A5: 4.0, A6: 4.0, A7: 0.415, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 280.0, A14: 81.0. |
288 | 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: 40.92, A3: 0.835, A4: 2.0, 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: 130.0, A14: 2.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 40.92, A3: 0.835, A4: 2.0, 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: 130.0, A14: 2.0. |
289 | 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: 37.58, A3: 0.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 3.0, A13: 184.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 37.58, A3: 0.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 3.0, A13: 184.0, A14: 1.0. |
290 | 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: 42.0, A3: 0.205, A4: 2.0, A5: 3.0, A6: 8.0, A7: 5.125, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 400.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 42.0, A3: 0.205, A4: 2.0, A5: 3.0, A6: 8.0, A7: 5.125, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 400.0, A14: 1.0. |
291 | 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: 7.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 20.0, A3: 7.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0. |
292 | 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: 19.67, A3: 10.0, A4: 1.0, A5: 4.0, A6: 8.0, A7: 0.835, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 140.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 19.67, A3: 10.0, A4: 1.0, A5: 4.0, A6: 8.0, A7: 0.835, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 140.0, A14: 1.0. |
293 | 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: 12.5, A4: 1.0, A5: 4.0, A6: 8.0, A7: 1.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 18.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 26.17, A3: 12.5, A4: 1.0, A5: 4.0, A6: 8.0, A7: 1.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 18.0. |
294 | 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: 48.33, A3: 12.0, A4: 2.0, A5: 7.0, A6: 4.0, A7: 16.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 110.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 48.33, A3: 12.0, A4: 2.0, A5: 7.0, A6: 4.0, A7: 16.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 110.0, A14: 1.0. |
295 | 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: 43.17, A3: 5.0, A4: 2.0, A5: 3.0, A6: 5.0, A7: 2.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 141.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 43.17, A3: 5.0, A4: 2.0, A5: 3.0, A6: 5.0, A7: 2.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 141.0, A14: 1.0. |
296 | 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: 41.58, A3: 1.75, A4: 2.0, A5: 4.0, A6: 4.0, A7: 0.21, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 160.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 41.58, A3: 1.75, A4: 2.0, A5: 4.0, A6: 4.0, A7: 0.21, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 160.0, A14: 1.0. |
297 | 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: 30.58, A3: 2.71, A4: 1.0, A5: 7.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 80.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 30.58, A3: 2.71, A4: 1.0, A5: 7.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 80.0, A14: 1.0. |
298 | 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: 29.58, A3: 1.75, A4: 1.0, A5: 4.0, A6: 4.0, A7: 1.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 280.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 29.58, A3: 1.75, A4: 1.0, A5: 4.0, A6: 4.0, A7: 1.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 280.0, A14: 1.0. |
299 | 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: 26.58, A3: 2.54, A4: 1.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 180.0, A14: 61.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 26.58, A3: 2.54, A4: 1.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 180.0, A14: 61.0. |