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400 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 22.67, A3: 7.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 160.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 22.67, A3: 7.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 160.0, A14: 1.0. |
401 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 27.67, A3: 13.75, A4: 2.0, A5: 9.0, A6: 4.0, A7: 5.75, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 487.0, A14: 501.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 27.67, A3: 13.75, A4: 2.0, A5: 9.0, A6: 4.0, A7: 5.75, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 487.0, A14: 501.0. |
402 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 13.75, A3: 4.0, A4: 1.0, A5: 9.0, A6: 4.0, A7: 1.75, A8: 1.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 120.0, A14: 1001.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 13.75, A3: 4.0, A4: 1.0, A5: 9.0, A6: 4.0, A7: 1.75, A8: 1.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 120.0, A14: 1001.0. |
403 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 29.67, A3: 1.415, A4: 2.0, A5: 9.0, A6: 8.0, A7: 0.75, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 240.0, A14: 101.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 29.67, A3: 1.415, A4: 2.0, A5: 9.0, A6: 8.0, A7: 0.75, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 240.0, A14: 101.0. |
404 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 28.25, A3: 5.04, A4: 1.0, A5: 8.0, A6: 5.0, A7: 1.5, A8: 1.0, A9: 1.0, A10: 8.0, A11: 1.0, A12: 2.0, A13: 144.0, A14: 8.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 28.25, A3: 5.04, A4: 1.0, A5: 8.0, A6: 5.0, A7: 1.5, A8: 1.0, A9: 1.0, A10: 8.0, A11: 1.0, A12: 2.0, A13: 144.0, A14: 8.0. |
405 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 21.08, A3: 4.125, A4: 1.0, A5: 3.0, A6: 8.0, A7: 0.04, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 140.0, A14: 101.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 21.08, A3: 4.125, A4: 1.0, A5: 3.0, A6: 8.0, A7: 0.04, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 140.0, A14: 101.0. |
406 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 30.25, A3: 5.5, A4: 2.0, A5: 4.0, A6: 4.0, A7: 5.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 100.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 30.25, A3: 5.5, A4: 2.0, A5: 4.0, A6: 4.0, A7: 5.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 100.0, A14: 1.0. |
407 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 31.92, A3: 4.46, A4: 2.0, A5: 13.0, A6: 8.0, A7: 6.04, A8: 1.0, A9: 1.0, A10: 3.0, A11: 0.0, A12: 2.0, A13: 311.0, A14: 301.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 31.92, A3: 4.46, A4: 2.0, A5: 13.0, A6: 8.0, A7: 6.04, A8: 1.0, A9: 1.0, A10: 3.0, A11: 0.0, A12: 2.0, A13: 311.0, A14: 301.0. |
408 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 2.5, A4: 1.0, A5: 3.0, A6: 8.0, A7: 10.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 200.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 39.17, A3: 2.5, A4: 1.0, A5: 3.0, A6: 8.0, A7: 10.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 200.0, A14: 1.0. |
409 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 36.75, A3: 5.125, A4: 2.0, A5: 10.0, A6: 4.0, A7: 5.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 4001.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 36.75, A3: 5.125, A4: 2.0, A5: 10.0, A6: 4.0, A7: 5.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 4001.0. |
410 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 18.92, A3: 9.25, A4: 1.0, A5: 8.0, A6: 4.0, A7: 1.0, A8: 1.0, A9: 1.0, A10: 4.0, A11: 1.0, A12: 2.0, A13: 80.0, A14: 501.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 18.92, A3: 9.25, A4: 1.0, A5: 8.0, A6: 4.0, A7: 1.0, A8: 1.0, A9: 1.0, A10: 4.0, A11: 1.0, A12: 2.0, A13: 80.0, A14: 501.0. |
411 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 30.42, A3: 1.375, A4: 2.0, A5: 9.0, A6: 8.0, A7: 0.04, A8: 0.0, A9: 1.0, A10: 3.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 34.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 30.42, A3: 1.375, A4: 2.0, A5: 9.0, A6: 8.0, A7: 0.04, A8: 0.0, A9: 1.0, A10: 3.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 34.0. |
412 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 31.75, A3: 3.0, A4: 1.0, A5: 5.0, A6: 3.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 160.0, A14: 21.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 31.75, A3: 3.0, A4: 1.0, A5: 5.0, A6: 3.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 160.0, A14: 21.0. |
413 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 21.75, A3: 11.75, A4: 2.0, A5: 8.0, 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: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 21.75, A3: 11.75, A4: 2.0, A5: 8.0, 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: 1.0. |
414 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 54.58, A3: 9.415, A4: 2.0, A5: 1.0, A6: 1.0, A7: 14.415, A8: 1.0, A9: 1.0, A10: 11.0, A11: 1.0, A12: 2.0, A13: 30.0, A14: 301.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 54.58, A3: 9.415, A4: 2.0, A5: 1.0, A6: 1.0, A7: 14.415, A8: 1.0, A9: 1.0, A10: 11.0, A11: 1.0, A12: 2.0, A13: 30.0, A14: 301.0. |
415 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 46.0, A3: 4.0, A4: 2.0, A5: 5.0, A6: 3.0, A7: 0.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 100.0, A14: 961.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 46.0, A3: 4.0, A4: 2.0, A5: 5.0, A6: 3.0, A7: 0.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 100.0, A14: 961.0. |
416 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 32.25, A3: 1.5, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 372.0, A14: 123.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 32.25, A3: 1.5, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 372.0, A14: 123.0. |
417 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 33.75, A3: 0.75, A4: 2.0, A5: 4.0, A6: 5.0, A7: 1.0, A8: 1.0, A9: 1.0, A10: 3.0, A11: 1.0, A12: 2.0, A13: 212.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 33.75, A3: 0.75, A4: 2.0, A5: 4.0, A6: 5.0, A7: 1.0, A8: 1.0, A9: 1.0, A10: 3.0, A11: 1.0, A12: 2.0, A13: 212.0, A14: 1.0. |
418 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 25.25, A3: 1.0, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 200.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 25.25, A3: 1.0, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 200.0, A14: 1.0. |
419 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 37.17, A3: 4.0, A4: 2.0, A5: 8.0, A6: 5.0, A7: 5.0, A8: 1.0, 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: 37.17, A3: 4.0, A4: 2.0, A5: 8.0, A6: 5.0, A7: 5.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 280.0, A14: 1.0. |
420 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 34.17, A3: 9.17, A4: 2.0, A5: 8.0, A6: 4.0, A7: 4.5, A8: 1.0, A9: 1.0, A10: 12.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 222.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 34.17, A3: 9.17, A4: 2.0, A5: 8.0, A6: 4.0, A7: 4.5, A8: 1.0, A9: 1.0, A10: 12.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 222.0. |
421 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 44.0, A3: 2.0, A4: 2.0, A5: 7.0, A6: 4.0, A7: 1.75, A8: 1.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 16.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 44.0, A3: 2.0, A4: 2.0, A5: 7.0, A6: 4.0, A7: 1.75, A8: 1.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 16.0. |
422 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 80.25, A3: 5.5, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.54, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 341.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 80.25, A3: 5.5, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.54, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 341.0. |
423 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 2.5, A4: 2.0, A5: 8.0, A6: 4.0, A7: 1.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 460.0, A14: 17.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 34.08, A3: 2.5, A4: 2.0, A5: 8.0, A6: 4.0, A7: 1.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 460.0, A14: 17.0. |
424 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 23.25, A3: 1.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.835, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 300.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 23.25, A3: 1.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.835, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 300.0, A14: 1.0. |
425 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 34.25, A3: 1.75, A4: 2.0, A5: 9.0, A6: 5.0, A7: 0.25, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 163.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 34.25, A3: 1.75, A4: 2.0, A5: 9.0, A6: 5.0, A7: 0.25, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 163.0, A14: 1.0. |
426 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 35.75, A3: 0.915, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.75, A8: 1.0, A9: 1.0, A10: 4.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1584.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 35.75, A3: 0.915, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.75, A8: 1.0, A9: 1.0, A10: 4.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1584.0. |
427 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 37.5, A3: 0.835, A4: 2.0, A5: 10.0, A6: 4.0, A7: 0.04, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 6.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 37.5, A3: 0.835, A4: 2.0, A5: 10.0, A6: 4.0, A7: 0.04, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 6.0. |
428 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 17.25, A3: 3.0, A4: 2.0, A5: 4.0, A6: 4.0, A7: 0.04, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 160.0, A14: 41.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 17.25, A3: 3.0, A4: 2.0, A5: 4.0, A6: 4.0, A7: 0.04, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 160.0, A14: 41.0. |
429 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 41.58, A3: 1.04, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.665, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 240.0, A14: 238.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 41.58, A3: 1.04, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.665, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 240.0, A14: 238.0. |
430 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 25.58, 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: 0.0, A2: 25.58, 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. |
431 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 23.5, A3: 9.0, A4: 2.0, A5: 11.0, A6: 4.0, A7: 8.5, A8: 1.0, A9: 1.0, A10: 5.0, A11: 1.0, A12: 2.0, A13: 120.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 23.5, A3: 9.0, A4: 2.0, A5: 11.0, A6: 4.0, A7: 8.5, A8: 1.0, A9: 1.0, A10: 5.0, A11: 1.0, A12: 2.0, A13: 120.0, A14: 1.0. |
432 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 11.46, A4: 2.0, A5: 4.0, A6: 4.0, A7: 1.585, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 100.0, A14: 1213.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 22.08, A3: 11.46, A4: 2.0, A5: 4.0, A6: 4.0, A7: 1.585, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 100.0, A14: 1213.0. |
433 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 1.5, A4: 2.0, A5: 9.0, A6: 4.0, A7: 2.0, A8: 1.0, A9: 1.0, A10: 11.0, A11: 1.0, A12: 2.0, A13: 434.0, A14: 36.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 27.83, A3: 1.5, A4: 2.0, A5: 9.0, A6: 4.0, A7: 2.0, A8: 1.0, A9: 1.0, A10: 11.0, A11: 1.0, A12: 2.0, A13: 434.0, A14: 36.0. |
434 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 40.83, A3: 3.5, A4: 2.0, A5: 3.0, A6: 5.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 1160.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 40.83, A3: 3.5, A4: 2.0, A5: 3.0, A6: 5.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 1160.0, A14: 1.0. |
435 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 18.5, A3: 2.0, A4: 2.0, A5: 3.0, A6: 4.0, A7: 1.5, A8: 1.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 301.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 18.5, A3: 2.0, A4: 2.0, A5: 3.0, A6: 4.0, A7: 1.5, A8: 1.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 301.0. |
436 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 15.83, A3: 0.585, A4: 2.0, A5: 8.0, A6: 8.0, A7: 1.5, A8: 1.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 100.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 15.83, A3: 0.585, A4: 2.0, A5: 8.0, A6: 8.0, A7: 1.5, A8: 1.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 100.0, A14: 1.0. |
437 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 1.71, A4: 2.0, A5: 14.0, A6: 4.0, A7: 0.125, A8: 1.0, A9: 1.0, A10: 5.0, A11: 1.0, A12: 2.0, A13: 480.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 39.17, A3: 1.71, A4: 2.0, A5: 14.0, A6: 4.0, A7: 0.125, A8: 1.0, A9: 1.0, A10: 5.0, A11: 1.0, A12: 2.0, A13: 480.0, A14: 1.0. |
438 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 31.57, A3: 11.25, 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: 184.0, A14: 5201.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 31.57, A3: 11.25, 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: 184.0, A14: 5201.0. |
439 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 38.75, A3: 1.5, 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: 76.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 38.75, A3: 1.5, 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: 76.0, A14: 1.0. |
440 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 26.5, A3: 2.71, A4: 1.0, A5: 8.0, A6: 4.0, A7: 0.085, 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: 0.0, A2: 26.5, A3: 2.71, A4: 1.0, A5: 8.0, A6: 4.0, A7: 0.085, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 80.0, A14: 1.0. |
441 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 16.0, A3: 0.165, A4: 2.0, A5: 6.0, A6: 4.0, A7: 1.0, A8: 0.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 320.0, A14: 2.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 16.0, A3: 0.165, A4: 2.0, A5: 6.0, A6: 4.0, A7: 1.0, A8: 0.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 320.0, A14: 2.0. |
442 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 0.0, A4: 2.0, A5: 11.0, A6: 4.0, A7: 0.665, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 160.0, A14: 2.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 18.83, A3: 0.0, A4: 2.0, A5: 11.0, A6: 4.0, A7: 0.665, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 160.0, A14: 2.0. |
443 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 48.58, A3: 0.205, A4: 1.0, A5: 4.0, A6: 4.0, A7: 0.25, A8: 1.0, A9: 1.0, A10: 11.0, A11: 0.0, A12: 2.0, A13: 380.0, A14: 2733.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 48.58, A3: 0.205, A4: 1.0, A5: 4.0, A6: 4.0, A7: 0.25, A8: 1.0, A9: 1.0, A10: 11.0, A11: 0.0, A12: 2.0, A13: 380.0, A14: 2733.0. |
444 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 56.0, A3: 12.5, A4: 2.0, A5: 4.0, A6: 8.0, A7: 8.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 24.0, A14: 2029.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 56.0, A3: 12.5, A4: 2.0, A5: 4.0, A6: 8.0, A7: 8.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 24.0, A14: 2029.0. |
445 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 18.83, A3: 4.415, A4: 1.0, A5: 8.0, A6: 8.0, A7: 3.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 240.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 18.83, A3: 4.415, A4: 1.0, A5: 8.0, A6: 8.0, A7: 3.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 240.0, A14: 1.0. |
446 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 52.33, A3: 1.375, A4: 1.0, A5: 8.0, A6: 8.0, A7: 9.46, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 200.0, A14: 101.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 52.33, A3: 1.375, A4: 1.0, A5: 8.0, A6: 8.0, A7: 9.46, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 200.0, A14: 101.0. |
447 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 20.42, A3: 7.5, A4: 2.0, A5: 4.0, A6: 4.0, A7: 1.5, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 160.0, A14: 235.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 20.42, A3: 7.5, A4: 2.0, A5: 4.0, A6: 4.0, A7: 1.5, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 160.0, A14: 235.0. |
448 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 23.75, A3: 12.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 2.085, 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: 23.75, A3: 12.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 2.085, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 80.0, A14: 1.0. |
449 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 24.83, A3: 2.75, A4: 2.0, A5: 8.0, A6: 4.0, A7: 2.25, A8: 1.0, A9: 1.0, A10: 6.0, A11: 0.0, A12: 2.0, A13: 184.0, A14: 601.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 24.83, A3: 2.75, A4: 2.0, A5: 8.0, A6: 4.0, A7: 2.25, A8: 1.0, A9: 1.0, A10: 6.0, A11: 0.0, A12: 2.0, A13: 184.0, A14: 601.0. |
450 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 1.75, 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: 132.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 24.5, A3: 1.75, 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: 132.0, A14: 1.0. |
451 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 15.83, A3: 7.625, A4: 2.0, A5: 11.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 161.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 15.83, A3: 7.625, A4: 2.0, A5: 11.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 161.0. |
452 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 56.42, A3: 28.0, A4: 1.0, A5: 8.0, A6: 4.0, A7: 28.5, A8: 1.0, A9: 1.0, A10: 40.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 16.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 56.42, A3: 28.0, A4: 1.0, A5: 8.0, A6: 4.0, A7: 28.5, A8: 1.0, A9: 1.0, A10: 40.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 16.0. |
453 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 0.17, A4: 2.0, A5: 7.0, A6: 4.0, A7: 0.085, A8: 0.0, 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: 22.92, A3: 0.17, A4: 2.0, A5: 7.0, A6: 4.0, A7: 0.085, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 0.0, A14: 1.0. |
454 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 1.75, A4: 1.0, A5: 8.0, A6: 4.0, A7: 1.0, A8: 1.0, A9: 1.0, A10: 5.0, A11: 1.0, A12: 2.0, A13: 160.0, A14: 5778.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 26.67, A3: 1.75, A4: 1.0, A5: 8.0, A6: 4.0, A7: 1.0, A8: 1.0, A9: 1.0, A10: 5.0, A11: 1.0, A12: 2.0, A13: 160.0, A14: 5778.0. |
455 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 54.83, A3: 15.5, A4: 2.0, A5: 10.0, A6: 9.0, A7: 0.0, A8: 1.0, A9: 1.0, A10: 20.0, A11: 0.0, A12: 2.0, A13: 152.0, A14: 131.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 54.83, A3: 15.5, A4: 2.0, A5: 10.0, A6: 9.0, A7: 0.0, A8: 1.0, A9: 1.0, A10: 20.0, A11: 0.0, A12: 2.0, A13: 152.0, A14: 131.0. |
456 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 17.08, A3: 0.085, 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: 140.0, A14: 723.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 17.08, A3: 0.085, 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: 140.0, A14: 723.0. |
457 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 69.17, A3: 9.0, A4: 2.0, A5: 1.0, A6: 1.0, A7: 4.0, A8: 0.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 70.0, A14: 7.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 69.17, A3: 9.0, A4: 2.0, A5: 1.0, A6: 1.0, A7: 4.0, A8: 0.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 70.0, A14: 7.0. |
458 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 30.5, A3: 6.5, A4: 2.0, A5: 8.0, A6: 5.0, A7: 4.0, A8: 1.0, A9: 1.0, A10: 7.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 3066.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 30.5, A3: 6.5, A4: 2.0, A5: 8.0, A6: 5.0, A7: 4.0, A8: 1.0, A9: 1.0, A10: 7.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 3066.0. |
459 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 33.08, A3: 4.625, A4: 2.0, A5: 11.0, A6: 8.0, A7: 1.625, A8: 1.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 33.08, A3: 4.625, A4: 2.0, A5: 11.0, A6: 8.0, A7: 1.625, A8: 1.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0. |
460 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 20.67, A3: 3.0, A4: 2.0, A5: 11.0, A6: 4.0, A7: 0.165, A8: 1.0, A9: 1.0, A10: 3.0, A11: 0.0, A12: 2.0, A13: 100.0, A14: 7.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 20.67, A3: 3.0, A4: 2.0, A5: 11.0, A6: 4.0, A7: 0.165, A8: 1.0, A9: 1.0, A10: 3.0, A11: 0.0, A12: 2.0, A13: 100.0, A14: 7.0. |
461 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 33.58, A3: 0.335, A4: 1.0, A5: 13.0, A6: 4.0, A7: 0.085, 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: 33.58, A3: 0.335, A4: 1.0, A5: 13.0, A6: 4.0, A7: 0.085, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 180.0, A14: 1.0. |
462 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 14.585, A4: 2.0, A5: 3.0, A6: 5.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 178.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 26.67, A3: 14.585, A4: 2.0, A5: 3.0, A6: 5.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 178.0, A14: 1.0. |
463 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 31.08, A3: 1.5, A4: 1.0, A5: 9.0, A6: 4.0, A7: 0.04, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 160.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 31.08, A3: 1.5, A4: 1.0, A5: 9.0, A6: 4.0, A7: 0.04, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 160.0, A14: 1.0. |
464 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 15.75, A3: 0.375, A4: 2.0, A5: 8.0, A6: 4.0, A7: 1.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 19.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 15.75, A3: 0.375, A4: 2.0, A5: 8.0, A6: 4.0, A7: 1.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 19.0. |
465 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 51.42, A3: 0.04, A4: 2.0, A5: 14.0, A6: 8.0, A7: 0.04, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 3001.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 51.42, A3: 0.04, A4: 2.0, A5: 14.0, A6: 8.0, A7: 0.04, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 3001.0. |
466 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 45.17, A3: 1.5, A4: 2.0, A5: 8.0, A6: 4.0, A7: 2.5, 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: 45.17, A3: 1.5, A4: 2.0, A5: 8.0, A6: 4.0, A7: 2.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 140.0, A14: 1.0. |
467 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 76.75, A3: 22.29, A4: 2.0, A5: 10.0, A6: 9.0, A7: 12.75, A8: 1.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 110.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 76.75, A3: 22.29, A4: 2.0, A5: 10.0, A6: 9.0, A7: 12.75, A8: 1.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 110.0. |
468 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 20.33, A3: 10.0, A4: 2.0, A5: 8.0, A6: 8.0, A7: 1.0, A8: 1.0, A9: 1.0, A10: 4.0, A11: 0.0, A12: 2.0, A13: 50.0, A14: 1466.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 20.33, A3: 10.0, A4: 2.0, A5: 8.0, A6: 8.0, A7: 1.0, A8: 1.0, A9: 1.0, A10: 4.0, A11: 0.0, A12: 2.0, A13: 50.0, A14: 1466.0. |
469 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 55.92, A3: 11.5, A4: 2.0, A5: 1.0, A6: 1.0, A7: 5.0, A8: 1.0, A9: 1.0, A10: 5.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 8852.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 55.92, A3: 11.5, A4: 2.0, A5: 1.0, A6: 1.0, A7: 5.0, A8: 1.0, A9: 1.0, A10: 5.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 8852.0. |
470 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 26.75, A3: 2.0, A4: 2.0, A5: 2.0, A6: 4.0, A7: 0.75, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 80.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 26.75, A3: 2.0, A4: 2.0, A5: 2.0, A6: 4.0, A7: 0.75, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 80.0, A14: 1.0. |
471 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 0.835, A4: 1.0, A5: 8.0, A6: 4.0, A7: 2.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 240.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 20.67, A3: 0.835, A4: 1.0, A5: 8.0, A6: 4.0, A7: 2.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 240.0, A14: 1.0. |
472 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 24.33, A3: 6.625, A4: 1.0, A5: 2.0, A6: 4.0, A7: 5.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 100.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 24.33, A3: 6.625, A4: 1.0, A5: 2.0, A6: 4.0, A7: 5.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 100.0, A14: 1.0. |
473 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 1.5, A4: 2.0, A5: 7.0, A6: 4.0, A7: 2.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 368.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 27.67, A3: 1.5, A4: 2.0, A5: 7.0, A6: 4.0, A7: 2.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 368.0, A14: 1.0. |
474 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 28.67, A3: 1.04, A4: 2.0, A5: 8.0, A6: 4.0, A7: 2.5, A8: 1.0, A9: 1.0, A10: 5.0, A11: 1.0, A12: 2.0, A13: 300.0, A14: 1431.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 28.67, A3: 1.04, A4: 2.0, A5: 8.0, A6: 4.0, A7: 2.5, A8: 1.0, A9: 1.0, A10: 5.0, A11: 1.0, A12: 2.0, A13: 300.0, A14: 1431.0. |
475 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 47.42, A3: 3.0, A4: 2.0, A5: 14.0, A6: 4.0, A7: 13.875, A8: 1.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 519.0, A14: 1705.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 47.42, A3: 3.0, A4: 2.0, A5: 14.0, A6: 4.0, A7: 13.875, A8: 1.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 519.0, A14: 1705.0. |
476 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 18.83, A3: 9.5, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.625, A8: 1.0, A9: 1.0, A10: 6.0, A11: 1.0, A12: 2.0, A13: 40.0, A14: 601.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 18.83, A3: 9.5, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.625, A8: 1.0, A9: 1.0, A10: 6.0, A11: 1.0, A12: 2.0, A13: 40.0, A14: 601.0. |
477 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 17.08, A3: 3.29, 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: 2.0, A13: 140.0, A14: 3.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 17.08, A3: 3.29, 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: 2.0, A13: 140.0, A14: 3.0. |
478 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 12.5, A4: 2.0, A5: 13.0, A6: 4.0, A7: 1.21, A8: 1.0, A9: 1.0, A10: 67.0, A11: 1.0, A12: 2.0, A13: 140.0, A14: 259.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 25.67, A3: 12.5, A4: 2.0, A5: 13.0, A6: 4.0, A7: 1.21, A8: 1.0, A9: 1.0, A10: 67.0, A11: 1.0, A12: 2.0, A13: 140.0, A14: 259.0. |
479 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 16.5, A3: 1.25, A4: 2.0, A5: 11.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 108.0, A14: 99.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 16.5, A3: 1.25, A4: 2.0, A5: 11.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 108.0, A14: 99.0. |
480 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 0.165, A4: 2.0, A5: 8.0, A6: 3.0, A7: 2.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 0.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 22.67, A3: 0.165, A4: 2.0, A5: 8.0, A6: 3.0, A7: 2.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 0.0, A14: 1.0. |
481 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 25.42, A3: 1.125, A4: 2.0, A5: 11.0, A6: 4.0, A7: 1.29, A8: 1.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 200.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 25.42, A3: 1.125, A4: 2.0, A5: 11.0, A6: 4.0, A7: 1.29, A8: 1.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 200.0, A14: 1.0. |