English Evaluation Dataset
Collection
42 items
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Updated
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10
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0 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 0.415, A4: 1.0, A5: 8.0, A6: 4.0, A7: 0.04, A8: 0.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 128.0, A14: 7.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 23.75, A3: 0.415, A4: 1.0, A5: 8.0, A6: 4.0, A7: 0.04, A8: 0.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 128.0, A14: 7.0.
|
1 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 58.42, A3: 21.0, A4: 2.0, A5: 3.0, A6: 5.0, A7: 10.0, A8: 1.0, A9: 1.0, A10: 13.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 6701.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 0.0, A2: 58.42, A3: 21.0, A4: 2.0, A5: 3.0, A6: 5.0, A7: 10.0, A8: 1.0, A9: 1.0, A10: 13.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 6701.0.
|
2 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 32.75, A3: 1.5, A4: 2.0, A5: 13.0, A6: 8.0, A7: 5.5, A8: 1.0, A9: 1.0, A10: 3.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 32.75, A3: 1.5, A4: 2.0, A5: 13.0, A6: 8.0, A7: 5.5, A8: 1.0, A9: 1.0, A10: 3.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
3 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 0.5, A4: 1.0, A5: 7.0, A6: 4.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 130.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 40.92, A3: 0.5, A4: 1.0, A5: 7.0, A6: 4.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 130.0, A14: 1.0.
|
4 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 4.0, A4: 2.0, A5: 8.0, A6: 5.0, A7: 0.25, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 160.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 23.25, A3: 4.0, A4: 2.0, A5: 8.0, A6: 5.0, A7: 0.25, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 160.0, A14: 1.0.
|
5 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 28.75, A3: 3.75, A4: 2.0, A5: 8.0, A6: 4.0, A7: 1.085, A8: 1.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 371.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 0.0, A2: 28.75, A3: 3.75, A4: 2.0, A5: 8.0, A6: 4.0, A7: 1.085, A8: 1.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 371.0, A14: 1.0.
|
6 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 27.42, A3: 14.5, A4: 2.0, A5: 14.0, A6: 8.0, A7: 3.085, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 12.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 0.0, A2: 27.42, A3: 14.5, A4: 2.0, A5: 14.0, A6: 8.0, A7: 3.085, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 12.0.
|
7 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 31.67, A3: 0.83, A4: 2.0, A5: 14.0, A6: 4.0, A7: 1.335, A8: 1.0, A9: 1.0, A10: 8.0, A11: 1.0, A12: 2.0, A13: 303.0, A14: 3291.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 31.67, A3: 0.83, A4: 2.0, A5: 14.0, A6: 4.0, A7: 1.335, A8: 1.0, A9: 1.0, A10: 8.0, A11: 1.0, A12: 2.0, A13: 303.0, A14: 3291.0.
|
8 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 20.25, A3: 9.96, A4: 2.0, A5: 10.0, A6: 2.0, A7: 0.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 20.25, A3: 9.96, A4: 2.0, A5: 10.0, A6: 2.0, A7: 0.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
9 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 71.58, 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: 71.58, 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.
|
10 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 32.67, A3: 9.0, A4: 1.0, A5: 9.0, A6: 8.0, A7: 5.25, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 154.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 32.67, A3: 9.0, A4: 1.0, A5: 9.0, A6: 8.0, A7: 5.25, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 154.0, A14: 1.0.
|
11 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 28.08, A3: 15.0, A4: 1.0, A5: 10.0, A6: 9.0, A7: 0.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 13213.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 0.0, A2: 28.08, A3: 15.0, A4: 1.0, A5: 10.0, A6: 9.0, A7: 0.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 13213.0.
|
12 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 28.33, A3: 5.0, A4: 2.0, A5: 9.0, A6: 4.0, A7: 11.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 70.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 28.33, A3: 5.0, A4: 2.0, A5: 9.0, A6: 4.0, A7: 11.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 70.0, A14: 1.0.
|
13 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 31.42, A3: 15.5, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.5, 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: 1.0, A2: 31.42, A3: 15.5, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 1.0.
|
14 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 0.625, A4: 2.0, A5: 4.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 380.0, A14: 2011.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 31.57, A3: 0.625, A4: 2.0, A5: 4.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 380.0, A14: 2011.0.
|
15 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 16.92, A3: 0.5, A4: 2.0, A5: 3.0, A6: 4.0, A7: 0.165, A8: 0.0, A9: 1.0, A10: 6.0, A11: 1.0, A12: 2.0, A13: 240.0, A14: 36.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 0.0, A2: 16.92, A3: 0.5, A4: 2.0, A5: 3.0, A6: 4.0, A7: 0.165, A8: 0.0, A9: 1.0, A10: 6.0, A11: 1.0, A12: 2.0, A13: 240.0, A14: 36.0.
|
16 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 23.17, A3: 11.125, A4: 2.0, A5: 14.0, A6: 8.0, A7: 0.46, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 100.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 23.17, A3: 11.125, A4: 2.0, A5: 14.0, A6: 8.0, A7: 0.46, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 100.0, A14: 1.0.
|
17 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 3.5, A4: 2.0, A5: 2.0, A6: 4.0, A7: 3.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 300.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 0.0, A2: 31.57, A3: 3.5, A4: 2.0, A5: 2.0, A6: 4.0, A7: 3.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 300.0, A14: 1.0.
|
18 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 18.58, A3: 10.0, A4: 2.0, A5: 2.0, A6: 4.0, A7: 0.415, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 43.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 0.0, A2: 18.58, A3: 10.0, A4: 2.0, A5: 2.0, A6: 4.0, A7: 0.415, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 43.0.
|
19 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 30.08, A3: 1.04, A4: 1.0, A5: 3.0, A6: 5.0, A7: 0.5, A8: 1.0, A9: 1.0, A10: 10.0, A11: 1.0, A12: 2.0, A13: 132.0, A14: 29.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 30.08, A3: 1.04, A4: 1.0, A5: 3.0, A6: 5.0, A7: 0.5, A8: 1.0, A9: 1.0, A10: 10.0, A11: 1.0, A12: 2.0, A13: 132.0, A14: 29.0.
|
20 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 48.75, A3: 26.335, A4: 1.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 48.75, A3: 26.335, A4: 1.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
21 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 27.42, A3: 12.5, A4: 2.0, A5: 6.0, A6: 5.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 720.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 27.42, A3: 12.5, A4: 2.0, A5: 6.0, A6: 5.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 720.0, A14: 1.0.
|
22 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 20.08, A3: 1.25, 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: 2.0, A13: 0.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 0.0, A2: 20.08, A3: 1.25, 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: 2.0, A13: 0.0, A14: 1.0.
|
23 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 19.17, A3: 0.585, A4: 1.0, A5: 6.0, A6: 4.0, A7: 0.585, A8: 1.0, 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: 19.17, A3: 0.585, A4: 1.0, A5: 6.0, A6: 4.0, A7: 0.585, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 160.0, A14: 1.0.
|
24 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 25.33, A3: 0.58, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.29, A8: 1.0, A9: 1.0, A10: 7.0, A11: 1.0, A12: 2.0, A13: 96.0, A14: 5125.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 25.33, A3: 0.58, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.29, A8: 1.0, A9: 1.0, A10: 7.0, A11: 1.0, A12: 2.0, A13: 96.0, A14: 5125.0.
|
25 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 1.835, A4: 2.0, A5: 11.0, A6: 4.0, A7: 2.085, A8: 1.0, A9: 1.0, A10: 5.0, A11: 0.0, A12: 2.0, A13: 220.0, A14: 2504.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 0.0, A2: 20.67, A3: 1.835, A4: 2.0, A5: 11.0, A6: 4.0, A7: 2.085, A8: 1.0, A9: 1.0, A10: 5.0, A11: 0.0, A12: 2.0, A13: 220.0, A14: 2504.0.
|
26 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 2.665, A4: 2.0, A5: 13.0, A6: 4.0, A7: 0.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 502.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 37.33, A3: 2.665, A4: 2.0, A5: 13.0, A6: 4.0, A7: 0.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 502.0.
|
27 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 20.17, A3: 5.625, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.71, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 120.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 20.17, A3: 5.625, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.71, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 120.0, A14: 1.0.
|
28 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 32.33, A3: 2.5, A4: 2.0, A5: 8.0, 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: 1.0, A2: 32.33, A3: 2.5, A4: 2.0, A5: 8.0, 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.
|
29 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 24.75, A3: 0.54, A4: 2.0, A5: 7.0, A6: 4.0, A7: 1.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 120.0, A14: 2.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 24.75, A3: 0.54, A4: 2.0, A5: 7.0, A6: 4.0, A7: 1.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 120.0, A14: 2.0.
|
30 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 1.125, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 96.0, A14: 20.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 31.25, A3: 1.125, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 96.0, A14: 20.0.
|
31 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 23.17, 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: 23.17, 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.
|
32 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 47.83, A3: 4.165, A4: 2.0, A5: 14.0, A6: 5.0, A7: 0.085, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 520.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 47.83, A3: 4.165, A4: 2.0, A5: 14.0, A6: 5.0, A7: 0.085, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 520.0, A14: 1.0.
|
33 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 12.0, A4: 2.0, A5: 4.0, A6: 4.0, A7: 2.25, A8: 1.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 120.0, A14: 6.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 25.0, A3: 12.0, A4: 2.0, A5: 4.0, A6: 4.0, A7: 2.25, A8: 1.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 120.0, A14: 6.0.
|
34 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 50.75, A3: 0.585, 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: 145.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 50.75, A3: 0.585, 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: 145.0, A14: 1.0.
|
35 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 29.5, A3: 2.0, A4: 1.0, A5: 10.0, A6: 8.0, A7: 2.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 256.0, A14: 18.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 0.0, A2: 29.5, A3: 2.0, A4: 1.0, A5: 10.0, A6: 8.0, A7: 2.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 256.0, A14: 18.0.
|
36 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 19.58, A3: 0.665, A4: 1.0, A5: 8.0, A6: 4.0, A7: 1.0, A8: 0.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 2000.0, A14: 3.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 0.0, A2: 19.58, A3: 0.665, A4: 1.0, A5: 8.0, A6: 4.0, A7: 1.0, A8: 0.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 2000.0, A14: 3.0.
|
37 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 30.75, A3: 1.585, A4: 2.0, A5: 2.0, A6: 4.0, A7: 0.585, 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: 30.75, A3: 1.585, A4: 2.0, A5: 2.0, A6: 4.0, A7: 0.585, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 0.0, A14: 1.0.
|
38 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 20.83, A3: 8.5, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 352.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 0.0, A2: 20.83, A3: 8.5, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 352.0.
|
39 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 0.835, A4: 2.0, A5: 11.0, A6: 4.0, A7: 1.585, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 0.0, A2: 20.42, A3: 0.835, A4: 2.0, A5: 11.0, A6: 4.0, A7: 1.585, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
40 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 27.58, A3: 3.25, A4: 1.0, A5: 11.0, A6: 8.0, A7: 5.085, A8: 0.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 369.0, A14: 2.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 27.58, A3: 3.25, A4: 1.0, A5: 11.0, A6: 8.0, A7: 5.085, A8: 0.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 369.0, A14: 2.0.
|
41 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 19.17, A3: 4.0, A4: 1.0, A5: 3.0, A6: 4.0, A7: 1.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 360.0, A14: 1001.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 19.17, A3: 4.0, A4: 1.0, A5: 3.0, A6: 4.0, A7: 1.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 360.0, A14: 1001.0.
|
42 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 10.085, A4: 1.0, A5: 10.0, A6: 8.0, A7: 1.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 260.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 21.08, A3: 10.085, A4: 1.0, A5: 10.0, A6: 8.0, A7: 1.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 260.0, A14: 1.0.
|
43 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 0.04, A4: 1.0, A5: 2.0, A6: 4.0, A7: 4.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 460.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 31.57, A3: 0.04, A4: 1.0, A5: 2.0, A6: 4.0, A7: 4.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 460.0, A14: 1.0.
|
44 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 18.58, A3: 5.71, A4: 2.0, A5: 2.0, A6: 4.0, A7: 0.54, 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: 18.58, A3: 5.71, A4: 2.0, A5: 2.0, A6: 4.0, A7: 0.54, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 1.0.
|
45 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 1.25, A4: 1.0, A5: 8.0, A6: 8.0, A7: 1.375, A8: 1.0, A9: 1.0, A10: 3.0, A11: 1.0, A12: 2.0, A13: 140.0, A14: 211.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 20.67, A3: 1.25, A4: 1.0, A5: 8.0, A6: 8.0, A7: 1.375, A8: 1.0, A9: 1.0, A10: 3.0, A11: 1.0, A12: 2.0, A13: 140.0, A14: 211.0.
|
46 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 35.0, A3: 3.375, A4: 2.0, A5: 8.0, A6: 8.0, A7: 8.29, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 35.0, A3: 3.375, A4: 2.0, A5: 8.0, A6: 8.0, A7: 8.29, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
47 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 19.0, A3: 1.75, A4: 1.0, A5: 8.0, A6: 4.0, A7: 2.335, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 112.0, A14: 7.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 19.0, A3: 1.75, A4: 1.0, A5: 8.0, A6: 4.0, A7: 2.335, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 112.0, A14: 7.0.
|
48 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 25.42, A3: 0.54, A4: 2.0, A5: 9.0, A6: 4.0, A7: 0.165, A8: 0.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 272.0, A14: 445.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 25.42, A3: 0.54, A4: 2.0, A5: 9.0, A6: 4.0, A7: 0.165, A8: 0.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 272.0, A14: 445.0.
|
49 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 24.42, A3: 12.335, A4: 2.0, A5: 11.0, A6: 8.0, A7: 1.585, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 120.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 24.42, A3: 12.335, A4: 2.0, A5: 11.0, A6: 8.0, A7: 1.585, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 120.0, A14: 1.0.
|
50 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 23.0, A3: 0.625, A4: 1.0, A5: 6.0, A6: 4.0, A7: 0.125, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 180.0, A14: 2.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 23.0, A3: 0.625, A4: 1.0, A5: 6.0, A6: 4.0, A7: 0.125, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 180.0, A14: 2.0.
|
51 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 0.0, A4: 2.0, A5: 4.0, A6: 4.0, A7: 1.0, A8: 0.0, A9: 1.0, A10: 11.0, A11: 0.0, A12: 1.0, A13: 0.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 23.08, A3: 0.0, A4: 2.0, A5: 4.0, A6: 4.0, A7: 1.0, A8: 0.0, A9: 1.0, A10: 11.0, A11: 0.0, A12: 1.0, A13: 0.0, A14: 1.0.
|
52 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 49.58, A3: 19.0, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 94.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 49.58, A3: 19.0, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 94.0, A14: 1.0.
|
53 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 60.08, A3: 14.5, A4: 2.0, A5: 1.0, A6: 1.0, A7: 18.0, A8: 1.0, A9: 1.0, A10: 15.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1001.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 60.08, A3: 14.5, A4: 2.0, A5: 1.0, A6: 1.0, A7: 18.0, A8: 1.0, A9: 1.0, A10: 15.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1001.0.
|
54 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 28.75, A3: 1.165, A4: 2.0, A5: 4.0, A6: 4.0, A7: 0.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 280.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 28.75, A3: 1.165, A4: 2.0, A5: 4.0, A6: 4.0, A7: 0.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 280.0, A14: 1.0.
|
55 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 52.42, A3: 1.5, A4: 2.0, A5: 2.0, A6: 4.0, A7: 3.75, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 351.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 52.42, A3: 1.5, A4: 2.0, A5: 2.0, A6: 4.0, A7: 3.75, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 351.0.
|
56 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 56.5, A3: 16.0, A4: 2.0, A5: 5.0, A6: 1.0, A7: 0.0, A8: 1.0, A9: 1.0, A10: 15.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 248.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 0.0, A2: 56.5, A3: 16.0, A4: 2.0, A5: 5.0, A6: 1.0, A7: 0.0, A8: 1.0, A9: 1.0, A10: 15.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 248.0.
|
57 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 3.085, A4: 2.0, A5: 8.0, A6: 4.0, A7: 2.5, A8: 0.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 160.0, A14: 42.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 31.08, A3: 3.085, A4: 2.0, A5: 8.0, A6: 4.0, A7: 2.5, A8: 0.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 160.0, A14: 42.0.
|
58 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 36.25, A3: 5.0, A4: 2.0, A5: 8.0, A6: 5.0, A7: 2.5, A8: 1.0, A9: 1.0, A10: 6.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 368.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 36.25, A3: 5.0, A4: 2.0, A5: 8.0, A6: 5.0, A7: 2.5, A8: 1.0, A9: 1.0, A10: 6.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 368.0.
|
59 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 39.08, A3: 4.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 3.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 480.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 0.0, A2: 39.08, A3: 4.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 3.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 480.0, A14: 1.0.
|
60 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 41.33, A3: 1.0, A4: 2.0, A5: 3.0, A6: 5.0, A7: 2.25, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 301.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 0.0, A2: 41.33, A3: 1.0, A4: 2.0, A5: 3.0, A6: 5.0, A7: 2.25, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 301.0.
|
61 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 1.25, A4: 2.0, A5: 11.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 120.0, A14: 810.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 0.0, A2: 22.92, A3: 1.25, A4: 2.0, A5: 11.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 120.0, A14: 810.0.
|
62 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 25.75, A3: 0.75, A4: 2.0, A5: 8.0, A6: 5.0, A7: 0.25, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 349.0, A14: 24.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 25.75, A3: 0.75, A4: 2.0, A5: 8.0, A6: 5.0, A7: 0.25, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 349.0, A14: 24.0.
|
63 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 39.92, A3: 0.54, A4: 1.0, A5: 6.0, A6: 4.0, A7: 0.5, A8: 1.0, A9: 1.0, A10: 3.0, A11: 0.0, A12: 2.0, A13: 200.0, A14: 1001.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 39.92, A3: 0.54, A4: 1.0, A5: 6.0, A6: 4.0, A7: 0.5, A8: 1.0, A9: 1.0, A10: 3.0, A11: 0.0, A12: 2.0, A13: 200.0, A14: 1001.0.
|
64 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 35.42, A3: 12.0, A4: 2.0, A5: 11.0, A6: 8.0, A7: 14.0, A8: 1.0, A9: 1.0, A10: 8.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 6591.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 0.0, A2: 35.42, A3: 12.0, A4: 2.0, A5: 11.0, A6: 8.0, A7: 14.0, A8: 1.0, A9: 1.0, A10: 8.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 6591.0.
|
65 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 1.625, A4: 2.0, A5: 2.0, A6: 4.0, A7: 0.54, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 0.0, A2: 33.08, A3: 1.625, A4: 2.0, A5: 2.0, A6: 4.0, A7: 0.54, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
66 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 1.125, A4: 1.0, A5: 2.0, A6: 4.0, A7: 1.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 431.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 37.5, A3: 1.125, A4: 1.0, A5: 2.0, A6: 4.0, A7: 1.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 431.0, A14: 1.0.
|
67 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 24.75, A3: 13.665, A4: 2.0, A5: 11.0, A6: 8.0, A7: 1.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 280.0, A14: 2.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 0.0, A2: 24.75, A3: 13.665, A4: 2.0, A5: 11.0, A6: 8.0, A7: 1.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 280.0, A14: 2.0.
|
68 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 16.33, A3: 4.085, A4: 2.0, A5: 3.0, A6: 8.0, A7: 0.415, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 120.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 16.33, A3: 4.085, A4: 2.0, A5: 3.0, A6: 8.0, A7: 0.415, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 120.0, A14: 1.0.
|
69 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 12.5, A4: 2.0, A5: 2.0, A6: 4.0, A7: 1.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 180.0, A14: 1063.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 0.0, A2: 25.25, A3: 12.5, A4: 2.0, A5: 2.0, A6: 4.0, A7: 1.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 180.0, A14: 1063.0.
|
70 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 18.08, A3: 0.375, A4: 3.0, A5: 13.0, A6: 1.0, A7: 10.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 300.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 0.0, A2: 18.08, A3: 0.375, A4: 3.0, A5: 13.0, A6: 1.0, A7: 10.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 300.0, A14: 1.0.
|
71 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 22.0, A3: 7.835, A4: 1.0, A5: 3.0, A6: 5.0, A7: 0.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 184.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 22.0, A3: 7.835, A4: 1.0, A5: 3.0, A6: 5.0, A7: 0.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 184.0, A14: 1.0.
|
72 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 18.33, A3: 1.21, A4: 1.0, A5: 10.0, A6: 2.0, 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: 18.33, A3: 1.21, A4: 1.0, A5: 10.0, A6: 2.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 100.0, A14: 1.0.
|
73 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 5.125, A4: 2.0, A5: 14.0, A6: 4.0, A7: 4.75, A8: 1.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 420.0, A14: 8.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 28.25, A3: 5.125, A4: 2.0, A5: 14.0, A6: 4.0, A7: 4.75, A8: 1.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 420.0, A14: 8.0.
|
74 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 40.33, A3: 7.54, A4: 1.0, A5: 11.0, A6: 8.0, A7: 8.0, A8: 1.0, A9: 1.0, A10: 14.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 2301.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 0.0, A2: 40.33, A3: 7.54, A4: 1.0, A5: 11.0, A6: 8.0, A7: 8.0, A8: 1.0, A9: 1.0, A10: 14.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 2301.0.
|
75 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 42.17, A3: 5.04, A4: 2.0, A5: 11.0, A6: 8.0, A7: 12.75, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 92.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 42.17, A3: 5.04, A4: 2.0, A5: 11.0, A6: 8.0, A7: 12.75, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 92.0, A14: 1.0.
|
76 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 25.17, A3: 2.875, A4: 2.0, A5: 14.0, A6: 8.0, A7: 0.875, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 360.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 0.0, A2: 25.17, A3: 2.875, A4: 2.0, A5: 14.0, A6: 8.0, A7: 0.875, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 360.0, A14: 1.0.
|
77 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 33.25, A3: 2.5, A4: 1.0, A5: 8.0, A6: 4.0, A7: 2.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 3.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 0.0, A2: 33.25, A3: 2.5, A4: 1.0, A5: 8.0, A6: 4.0, A7: 2.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 3.0.
|
78 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 29.5, A3: 0.58, A4: 2.0, A5: 9.0, A6: 4.0, A7: 0.29, A8: 0.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 340.0, A14: 2804.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 29.5, A3: 0.58, A4: 2.0, A5: 9.0, A6: 4.0, A7: 0.29, A8: 0.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 340.0, A14: 2804.0.
|
79 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 22.75, A3: 11.5, A4: 2.0, A5: 3.0, A6: 4.0, A7: 0.415, 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: 22.75, A3: 11.5, A4: 2.0, A5: 3.0, A6: 4.0, A7: 0.415, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
80 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 1.75, A4: 1.0, A5: 8.0, A6: 5.0, A7: 0.25, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 164.0, A14: 401.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 37.5, A3: 1.75, A4: 1.0, A5: 8.0, A6: 5.0, A7: 0.25, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 164.0, A14: 401.0.
|
81 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 2.75, A4: 2.0, A5: 7.0, A6: 4.0, A7: 4.25, A8: 1.0, A9: 1.0, A10: 6.0, A11: 0.0, A12: 2.0, A13: 204.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 33.58, A3: 2.75, A4: 2.0, A5: 7.0, A6: 4.0, A7: 4.25, A8: 1.0, A9: 1.0, A10: 6.0, A11: 0.0, A12: 2.0, A13: 204.0, A14: 1.0.
|
82 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 9.54, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.085, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 100.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 0.0, A2: 18.83, A3: 9.54, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.085, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 100.0, A14: 1.0.
|
83 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 0.875, A4: 2.0, A5: 7.0, A6: 4.0, A7: 0.96, A8: 1.0, A9: 1.0, A10: 3.0, A11: 1.0, A12: 2.0, A13: 396.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 28.25, A3: 0.875, A4: 2.0, A5: 7.0, A6: 4.0, A7: 0.96, A8: 1.0, A9: 1.0, A10: 3.0, A11: 1.0, A12: 2.0, A13: 396.0, A14: 1.0.
|
84 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 18.08, A3: 6.75, A4: 1.0, A5: 7.0, A6: 4.0, A7: 0.04, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 140.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 18.08, A3: 6.75, A4: 1.0, A5: 7.0, A6: 4.0, A7: 0.04, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 140.0, A14: 1.0.
|
85 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 19.5, A3: 9.585, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.79, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 351.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 19.5, A3: 9.585, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.79, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 351.0.
|
86 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 5.29, A4: 2.0, A5: 11.0, A6: 4.0, A7: 0.375, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 160.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 20.67, A3: 5.29, A4: 2.0, A5: 11.0, A6: 4.0, A7: 0.375, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 160.0, A14: 1.0.
|
87 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 19.58, A3: 0.665, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.665, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 220.0, A14: 6.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 0.0, A2: 19.58, A3: 0.665, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.665, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 220.0, A14: 6.0.
|
88 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 22.25, A3: 9.0, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.085, 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: 22.25, A3: 9.0, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.085, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
89 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 38.42, A3: 0.705, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.375, A8: 0.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 225.0, A14: 501.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 38.42, A3: 0.705, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.375, A8: 0.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 225.0, A14: 501.0.
|
90 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 74.83, A3: 19.0, A4: 1.0, A5: 1.0, A6: 1.0, A7: 0.04, A8: 0.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 352.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 74.83, A3: 19.0, A4: 1.0, A5: 1.0, A6: 1.0, A7: 0.04, A8: 0.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 352.0.
|
91 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 21.58, A3: 0.79, A4: 1.0, A5: 13.0, 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: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 21.58, A3: 0.79, A4: 1.0, A5: 13.0, 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: 1.0.
|
92 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 38.33, A3: 4.415, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 160.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 0.0, A2: 38.33, A3: 4.415, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 160.0, A14: 1.0.
|
93 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 25.17, A3: 3.5, A4: 2.0, A5: 13.0, A6: 4.0, A7: 0.625, A8: 1.0, A9: 1.0, A10: 7.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 7060.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 25.17, A3: 3.5, A4: 2.0, A5: 13.0, A6: 4.0, A7: 0.625, A8: 1.0, A9: 1.0, A10: 7.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 7060.0.
|
94 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 3.04, A4: 1.0, A5: 14.0, A6: 8.0, A7: 2.54, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 70.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 0.0, A2: 28.5, A3: 3.04, A4: 1.0, A5: 14.0, A6: 8.0, A7: 2.54, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 70.0, A14: 1.0.
|
95 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 57.83, A3: 7.04, A4: 2.0, A5: 7.0, A6: 4.0, A7: 14.0, A8: 1.0, A9: 1.0, A10: 6.0, A11: 1.0, A12: 2.0, A13: 360.0, A14: 1333.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 57.83, A3: 7.04, A4: 2.0, A5: 7.0, A6: 4.0, A7: 14.0, A8: 1.0, A9: 1.0, A10: 6.0, A11: 1.0, A12: 2.0, A13: 360.0, A14: 1333.0.
|
96 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 50.08, A3: 12.54, A4: 2.0, A5: 6.0, A6: 4.0, A7: 2.29, A8: 1.0, A9: 1.0, A10: 3.0, A11: 1.0, A12: 2.0, A13: 156.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 0.0, A2: 50.08, A3: 12.54, A4: 2.0, A5: 6.0, A6: 4.0, A7: 2.29, A8: 1.0, A9: 1.0, A10: 3.0, A11: 1.0, A12: 2.0, A13: 156.0, A14: 1.0.
|
97 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 1.5, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 200.0, A14: 106.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 0.0, A2: 31.57, A3: 1.5, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 200.0, A14: 106.0.
|
98 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 2.75, A4: 2.0, A5: 1.0, A6: 1.0, A7: 4.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 160.0, A14: 26.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 23.5, A3: 2.75, A4: 2.0, A5: 1.0, A6: 1.0, A7: 4.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 160.0, A14: 26.0.
|
99 |
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 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: 24.08, A3: 9.0, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 24.08, A3: 9.0, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
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