ICE-FLARE_Data
Collection
Evaluation Datasets
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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: 17.42, A3: 6.5, A4: 2.0, A5: 3.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 60.0, A14: 101.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 17.42, A3: 6.5, A4: 2.0, A5: 3.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 60.0, A14: 101.0.
|
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: 55.75, A3: 7.08, A4: 2.0, A5: 4.0, A6: 8.0, A7: 6.75, A8: 1.0, A9: 1.0, A10: 3.0, A11: 1.0, A12: 2.0, A13: 100.0, A14: 51.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 0.0, A2: 55.75, A3: 7.08, A4: 2.0, A5: 4.0, A6: 8.0, A7: 6.75, A8: 1.0, A9: 1.0, A10: 3.0, A11: 1.0, A12: 2.0, A13: 100.0, A14: 51.0.
|
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: 34.92, A3: 5.0, A4: 2.0, A5: 14.0, A6: 8.0, A7: 7.5, A8: 1.0, A9: 1.0, A10: 6.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1001.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 34.92, A3: 5.0, A4: 2.0, A5: 14.0, A6: 8.0, A7: 7.5, A8: 1.0, A9: 1.0, A10: 6.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1001.0.
|
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: 0.0, A2: 18.92, A3: 9.0, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.75, A8: 1.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 88.0, A14: 592.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 0.0, A2: 18.92, A3: 9.0, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.75, A8: 1.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 88.0, A14: 592.0.
|
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: 41.17, A3: 1.335, A4: 2.0, A5: 2.0, A6: 4.0, A7: 0.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 168.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 41.17, A3: 1.335, A4: 2.0, A5: 2.0, A6: 4.0, A7: 0.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 168.0, A14: 1.0.
|
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: 20.42, A3: 10.5, A4: 1.0, A5: 14.0, A6: 8.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 154.0, A14: 33.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 0.0, A2: 20.42, A3: 10.5, A4: 1.0, A5: 14.0, A6: 8.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 154.0, A14: 33.0.
|
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: 1.0, A2: 42.83, A3: 1.25, A4: 2.0, A5: 7.0, A6: 4.0, A7: 13.875, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 352.0, A14: 113.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 42.83, A3: 1.25, A4: 2.0, A5: 7.0, A6: 4.0, A7: 13.875, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 352.0, A14: 113.0.
|
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: 39.58, A3: 13.915, A4: 2.0, A5: 9.0, A6: 4.0, A7: 8.625, A8: 1.0, A9: 1.0, A10: 6.0, A11: 1.0, A12: 2.0, A13: 70.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 39.58, A3: 13.915, A4: 2.0, A5: 9.0, A6: 4.0, A7: 8.625, A8: 1.0, A9: 1.0, A10: 6.0, A11: 1.0, A12: 2.0, A13: 70.0, A14: 1.0.
|
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: 0.0, A2: 47.75, A3: 8.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 7.875, A8: 1.0, A9: 1.0, A10: 6.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1261.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 0.0, A2: 47.75, A3: 8.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 7.875, A8: 1.0, A9: 1.0, A10: 6.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1261.0.
|
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: 1.0, A2: 22.58, A3: 1.5, A4: 1.0, A5: 6.0, A6: 4.0, A7: 0.54, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 120.0, A14: 68.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 22.58, A3: 1.5, A4: 1.0, A5: 6.0, A6: 4.0, A7: 0.54, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 120.0, A14: 68.0.
|
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: 26.75, A3: 1.125, A4: 2.0, A5: 14.0, A6: 8.0, A7: 1.25, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 5299.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 26.75, A3: 1.125, A4: 2.0, A5: 14.0, A6: 8.0, A7: 1.25, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 5299.0.
|
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: 20.75, A3: 10.25, A4: 2.0, A5: 11.0, A6: 4.0, A7: 0.71, A8: 1.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 49.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 0.0, A2: 20.75, A3: 10.25, A4: 2.0, A5: 11.0, A6: 4.0, A7: 0.71, A8: 1.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 49.0, A14: 1.0.
|
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: 32.33, A3: 3.5, A4: 2.0, A5: 4.0, A6: 4.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 232.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 32.33, A3: 3.5, A4: 2.0, A5: 4.0, A6: 4.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 232.0, A14: 1.0.
|
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: 56.75, A3: 12.25, A4: 2.0, A5: 7.0, A6: 4.0, A7: 1.25, A8: 1.0, A9: 1.0, A10: 4.0, A11: 1.0, A12: 2.0, A13: 200.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 56.75, A3: 12.25, A4: 2.0, A5: 7.0, A6: 4.0, A7: 1.25, A8: 1.0, A9: 1.0, A10: 4.0, A11: 1.0, A12: 2.0, A13: 200.0, A14: 1.0.
|
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: 29.42, A3: 1.25, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.75, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 200.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 29.42, A3: 1.25, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.75, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 200.0, A14: 1.0.
|
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: 1.0, A2: 40.25, A3: 21.5, A4: 2.0, A5: 10.0, A6: 9.0, A7: 20.0, A8: 1.0, A9: 1.0, A10: 11.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1201.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 40.25, A3: 21.5, A4: 2.0, A5: 10.0, A6: 9.0, A7: 20.0, A8: 1.0, A9: 1.0, A10: 11.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1201.0.
|
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: 29.83, A3: 3.5, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 216.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 29.83, A3: 3.5, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 216.0, A14: 1.0.
|
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: 35.17, A3: 3.75, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 1.0, A10: 6.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 201.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 0.0, A2: 35.17, A3: 3.75, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 1.0, A10: 6.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 201.0.
|
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: 1.0, A2: 23.42, A3: 1.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 280.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 23.42, A3: 1.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 280.0, A14: 1.0.
|
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: 28.67, A3: 14.5, A4: 2.0, A5: 2.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 287.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 28.67, A3: 14.5, A4: 2.0, A5: 2.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 287.0.
|
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: 0.0, A2: 38.92, A3: 1.665, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 391.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 0.0, A2: 38.92, A3: 1.665, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 391.0.
|
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: 31.83, A3: 0.04, A4: 1.0, A5: 7.0, A6: 4.0, A7: 0.04, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 31.83, A3: 0.04, A4: 1.0, A5: 7.0, A6: 4.0, A7: 0.04, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
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: 1.0, A2: 47.33, A3: 6.5, A4: 2.0, A5: 8.0, A6: 4.0, A7: 1.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 229.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 47.33, A3: 6.5, A4: 2.0, A5: 8.0, A6: 4.0, A7: 1.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 229.0.
|
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: 1.0, A2: 33.17, A3: 1.0, A4: 2.0, A5: 14.0, A6: 4.0, A7: 0.75, A8: 1.0, A9: 1.0, A10: 7.0, A11: 1.0, A12: 2.0, A13: 340.0, A14: 4072.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 33.17, A3: 1.0, A4: 2.0, A5: 14.0, A6: 4.0, A7: 0.75, A8: 1.0, A9: 1.0, A10: 7.0, A11: 1.0, A12: 2.0, A13: 340.0, A14: 4072.0.
|
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: 22.75, A3: 11.0, A4: 2.0, A5: 11.0, A6: 4.0, A7: 2.5, A8: 1.0, A9: 1.0, A10: 7.0, A11: 1.0, A12: 2.0, A13: 100.0, A14: 810.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 22.75, A3: 11.0, A4: 2.0, A5: 11.0, A6: 4.0, A7: 2.5, A8: 1.0, A9: 1.0, A10: 7.0, A11: 1.0, A12: 2.0, A13: 100.0, A14: 810.0.
|
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: 1.0, A2: 48.75, A3: 8.5, A4: 2.0, A5: 8.0, A6: 8.0, A7: 12.5, A8: 1.0, A9: 1.0, A10: 9.0, A11: 0.0, A12: 2.0, A13: 181.0, A14: 1656.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 48.75, A3: 8.5, A4: 2.0, A5: 8.0, A6: 8.0, A7: 12.5, A8: 1.0, A9: 1.0, A10: 9.0, A11: 0.0, A12: 2.0, A13: 181.0, A14: 1656.0.
|
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: 0.0, A2: 57.08, A3: 19.5, A4: 2.0, A5: 8.0, A6: 4.0, A7: 5.5, A8: 1.0, A9: 1.0, A10: 7.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 3001.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 0.0, A2: 57.08, A3: 19.5, A4: 2.0, A5: 8.0, A6: 4.0, A7: 5.5, A8: 1.0, A9: 1.0, A10: 7.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 3001.0.
|
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: 21.0, A3: 3.0, A4: 1.0, A5: 2.0, A6: 4.0, A7: 1.085, A8: 1.0, A9: 1.0, A10: 8.0, A11: 1.0, A12: 2.0, A13: 160.0, A14: 2.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 21.0, A3: 3.0, A4: 1.0, A5: 2.0, A6: 4.0, A7: 1.085, A8: 1.0, A9: 1.0, A10: 8.0, A11: 1.0, A12: 2.0, A13: 160.0, A14: 2.0.
|
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: 0.0, A2: 24.75, A3: 12.5, A4: 2.0, A5: 6.0, A6: 4.0, A7: 1.5, A8: 1.0, A9: 1.0, A10: 12.0, A11: 1.0, A12: 2.0, A13: 120.0, A14: 568.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 0.0, A2: 24.75, A3: 12.5, A4: 2.0, A5: 6.0, A6: 4.0, A7: 1.5, A8: 1.0, A9: 1.0, A10: 12.0, A11: 1.0, A12: 2.0, A13: 120.0, A14: 568.0.
|
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: 0.0, A2: 20.83, A3: 0.5, A4: 1.0, A5: 10.0, A6: 2.0, A7: 1.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 260.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 0.0, A2: 20.83, A3: 0.5, A4: 1.0, A5: 10.0, A6: 2.0, A7: 1.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 260.0, A14: 1.0.
|
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: 0.0, A2: 68.67, A3: 15.0, A4: 2.0, A5: 10.0, A6: 9.0, A7: 0.0, A8: 1.0, A9: 1.0, A10: 14.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 3377.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 0.0, A2: 68.67, A3: 15.0, A4: 2.0, A5: 10.0, A6: 9.0, A7: 0.0, A8: 1.0, A9: 1.0, A10: 14.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 3377.0.
|
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: 34.83, A3: 4.0, A4: 2.0, A5: 2.0, A6: 5.0, A7: 12.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 184.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 34.83, A3: 4.0, A4: 2.0, A5: 2.0, A6: 5.0, A7: 12.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 184.0, A14: 1.0.
|
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: 19.17, A3: 0.0, A4: 1.0, A5: 7.0, A6: 5.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 500.0, A14: 2.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 19.17, A3: 0.0, A4: 1.0, A5: 7.0, A6: 5.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 500.0, A14: 2.0.
|
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: 43.08, A3: 0.375, A4: 1.0, A5: 8.0, A6: 4.0, A7: 0.375, A8: 1.0, A9: 1.0, A10: 8.0, A11: 1.0, A12: 2.0, A13: 300.0, A14: 163.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 43.08, A3: 0.375, A4: 1.0, A5: 8.0, A6: 4.0, A7: 0.375, A8: 1.0, A9: 1.0, A10: 8.0, A11: 1.0, A12: 2.0, A13: 300.0, A14: 163.0.
|
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: 42.75, A3: 3.0, A4: 2.0, A5: 3.0, A6: 5.0, A7: 1.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 201.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 42.75, A3: 3.0, A4: 2.0, A5: 3.0, A6: 5.0, A7: 1.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 201.0.
|
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: 1.0, A2: 18.42, A3: 10.415, A4: 1.0, A5: 6.0, A6: 4.0, A7: 0.125, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 376.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 18.42, A3: 10.415, A4: 1.0, A5: 6.0, A6: 4.0, A7: 0.125, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 376.0.
|
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: 1.0, A2: 41.17, A3: 1.25, A4: 1.0, A5: 9.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 196.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 41.17, A3: 1.25, A4: 1.0, A5: 9.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 196.0.
|
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: 30.67, A3: 2.5, A4: 2.0, A5: 13.0, A6: 8.0, A7: 2.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 340.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 30.67, A3: 2.5, A4: 2.0, A5: 13.0, A6: 8.0, A7: 2.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 340.0, A14: 1.0.
|
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: 1.0, A2: 26.25, A3: 1.54, A4: 2.0, A5: 9.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 100.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 26.25, A3: 1.54, A4: 2.0, A5: 9.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 100.0, A14: 1.0.
|
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: 1.0, A2: 29.25, A3: 14.79, A4: 2.0, A5: 6.0, A6: 4.0, A7: 5.04, A8: 1.0, A9: 1.0, A10: 5.0, A11: 1.0, A12: 2.0, A13: 168.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 29.25, A3: 14.79, A4: 2.0, A5: 6.0, A6: 4.0, A7: 5.04, A8: 1.0, A9: 1.0, A10: 5.0, A11: 1.0, A12: 2.0, A13: 168.0, A14: 1.0.
|
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: 17.08, A3: 0.25, A4: 2.0, A5: 11.0, A6: 4.0, A7: 0.335, A8: 0.0, A9: 1.0, A10: 4.0, A11: 0.0, A12: 2.0, A13: 160.0, A14: 9.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 17.08, A3: 0.25, A4: 2.0, A5: 11.0, A6: 4.0, A7: 0.335, A8: 0.0, A9: 1.0, A10: 4.0, A11: 0.0, A12: 2.0, A13: 160.0, A14: 9.0.
|
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: 33.17, A3: 1.04, A4: 2.0, A5: 12.0, A6: 8.0, A7: 6.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 164.0, A14: 31286.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 33.17, A3: 1.04, A4: 2.0, A5: 12.0, A6: 8.0, A7: 6.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 164.0, A14: 31286.0.
|
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: 0.0, A2: 24.75, A3: 3.0, A4: 2.0, A5: 11.0, A6: 8.0, A7: 1.835, A8: 1.0, A9: 1.0, A10: 19.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 501.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 0.0, A2: 24.75, A3: 3.0, A4: 2.0, A5: 11.0, A6: 8.0, A7: 1.835, A8: 1.0, A9: 1.0, A10: 19.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 501.0.
|
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: 54.42, A3: 0.5, A4: 1.0, A5: 4.0, A6: 8.0, A7: 3.96, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 180.0, A14: 315.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 54.42, A3: 0.5, A4: 1.0, A5: 4.0, A6: 8.0, A7: 3.96, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 180.0, A14: 315.0.
|
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: 33.67, A3: 2.165, A4: 2.0, A5: 8.0, A6: 4.0, A7: 1.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 3.0, A13: 120.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 33.67, A3: 2.165, A4: 2.0, A5: 8.0, A6: 4.0, A7: 1.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 3.0, A13: 120.0, A14: 1.0.
|
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: 19.5, A3: 0.29, A4: 2.0, A5: 4.0, A6: 4.0, A7: 0.29, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 280.0, A14: 365.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 19.5, A3: 0.29, A4: 2.0, A5: 4.0, A6: 4.0, A7: 0.29, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 280.0, A14: 365.0.
|
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: 0.0, A2: 22.83, A3: 2.29, A4: 2.0, A5: 11.0, A6: 8.0, A7: 2.29, A8: 1.0, A9: 1.0, A10: 7.0, A11: 1.0, A12: 2.0, A13: 140.0, A14: 2385.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 0.0, A2: 22.83, A3: 2.29, A4: 2.0, A5: 11.0, A6: 8.0, A7: 2.29, A8: 1.0, A9: 1.0, A10: 7.0, A11: 1.0, A12: 2.0, A13: 140.0, A14: 2385.0.
|
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: 27.83, A3: 1.5, A4: 2.0, A5: 9.0, A6: 4.0, A7: 2.25, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 100.0, A14: 4.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 27.83, A3: 1.5, A4: 2.0, A5: 9.0, A6: 4.0, A7: 2.25, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 100.0, A14: 4.0.
|
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: 0.0, A2: 69.5, A3: 6.0, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 0.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 0.0, A2: 69.5, A3: 6.0, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 0.0, A14: 1.0.
|
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: 34.75, A3: 15.0, A4: 2.0, A5: 12.0, A6: 7.0, A7: 5.375, A8: 1.0, A9: 1.0, A10: 9.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 135.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 34.75, A3: 15.0, A4: 2.0, A5: 12.0, A6: 7.0, A7: 5.375, A8: 1.0, A9: 1.0, A10: 9.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 135.0.
|
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: 0.0, A2: 40.83, A3: 10.0, A4: 2.0, A5: 11.0, A6: 8.0, A7: 1.75, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 29.0, A14: 838.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 0.0, A2: 40.83, A3: 10.0, A4: 2.0, A5: 11.0, A6: 8.0, A7: 1.75, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 29.0, A14: 838.0.
|
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: 34.0, A3: 5.085, A4: 1.0, A5: 3.0, A6: 5.0, A7: 1.085, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 480.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 34.0, A3: 5.085, A4: 1.0, A5: 3.0, A6: 5.0, A7: 1.085, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 480.0, A14: 1.0.
|
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: 48.25, A3: 25.085, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.75, A8: 1.0, A9: 1.0, A10: 3.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 15.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 48.25, A3: 25.085, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.75, A8: 1.0, A9: 1.0, A10: 3.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 15.0.
|
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: 44.25, A3: 0.5, A4: 2.0, A5: 7.0, A6: 4.0, A7: 10.75, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 400.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 44.25, A3: 0.5, A4: 2.0, A5: 7.0, A6: 4.0, A7: 10.75, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 400.0, A14: 1.0.
|
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: 41.33, A3: 0.0, A4: 2.0, A5: 8.0, A6: 5.0, A7: 15.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 41.33, A3: 0.0, A4: 2.0, A5: 8.0, A6: 5.0, A7: 15.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
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: 0.0, A2: 31.92, A3: 3.125, A4: 2.0, A5: 1.0, A6: 1.0, A7: 3.04, A8: 0.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 200.0, A14: 5.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 0.0, A2: 31.92, A3: 3.125, A4: 2.0, A5: 1.0, A6: 1.0, A7: 3.04, A8: 0.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 200.0, A14: 5.0.
|
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: 1.0, A2: 51.83, A3: 3.0, A4: 1.0, A5: 1.0, A6: 1.0, A7: 1.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 180.0, A14: 5.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 51.83, A3: 3.0, A4: 1.0, A5: 1.0, A6: 1.0, A7: 1.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 180.0, A14: 5.0.
|
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: 39.0, A3: 5.0, A4: 2.0, A5: 13.0, A6: 4.0, A7: 3.5, A8: 1.0, A9: 1.0, A10: 10.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 39.0, A3: 5.0, A4: 2.0, A5: 13.0, A6: 4.0, A7: 3.5, A8: 1.0, A9: 1.0, A10: 10.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
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: 20.0, A3: 11.045, A4: 2.0, A5: 8.0, A6: 4.0, A7: 2.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 136.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 20.0, A3: 11.045, A4: 2.0, A5: 8.0, A6: 4.0, A7: 2.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 136.0, A14: 1.0.
|
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: 1.0, A2: 39.33, A3: 5.875, A4: 2.0, A5: 13.0, A6: 8.0, A7: 10.0, A8: 1.0, A9: 1.0, A10: 14.0, A11: 1.0, A12: 2.0, A13: 399.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 39.33, A3: 5.875, A4: 2.0, A5: 13.0, A6: 8.0, A7: 10.0, A8: 1.0, A9: 1.0, A10: 14.0, A11: 1.0, A12: 2.0, A13: 399.0, A14: 1.0.
|
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: 1.0, A2: 25.67, A3: 3.25, A4: 2.0, A5: 8.0, A6: 8.0, A7: 2.29, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 416.0, A14: 22.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 25.67, A3: 3.25, A4: 2.0, A5: 8.0, A6: 8.0, A7: 2.29, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 416.0, A14: 22.0.
|
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: 1.0, A2: 21.83, A3: 0.25, A4: 2.0, A5: 2.0, A6: 8.0, A7: 0.665, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 21.83, A3: 0.25, A4: 2.0, A5: 2.0, A6: 8.0, A7: 0.665, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
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: 36.67, A3: 4.415, A4: 1.0, A5: 4.0, A6: 4.0, A7: 0.25, A8: 1.0, A9: 1.0, A10: 10.0, A11: 1.0, A12: 2.0, A13: 320.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 36.67, A3: 4.415, A4: 1.0, A5: 4.0, A6: 4.0, A7: 0.25, A8: 1.0, A9: 1.0, A10: 10.0, A11: 1.0, A12: 2.0, A13: 320.0, A14: 1.0.
|
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: 22.17, A3: 2.25, A4: 2.0, A5: 3.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 160.0, A14: 11.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 22.17, A3: 2.25, A4: 2.0, A5: 3.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 160.0, A14: 11.0.
|
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: 1.0, A2: 19.42, A3: 1.5, A4: 1.0, A5: 13.0, A6: 4.0, A7: 2.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 100.0, A14: 21.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 19.42, A3: 1.5, A4: 1.0, A5: 13.0, A6: 4.0, A7: 2.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 100.0, A14: 21.0.
|
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: 1.0, A2: 31.0, A3: 2.085, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.085, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 300.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 31.0, A3: 2.085, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.085, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 300.0, A14: 1.0.
|
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: 16.0, A3: 3.125, A4: 2.0, A5: 9.0, A6: 4.0, A7: 0.085, A8: 0.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 7.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 16.0, A3: 3.125, A4: 2.0, A5: 9.0, A6: 4.0, A7: 0.085, A8: 0.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 7.0.
|
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: 1.0, A2: 25.17, A3: 3.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 1.25, A8: 0.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 23.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 25.17, A3: 3.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 1.25, A8: 0.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 23.0.
|
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: 0.0, A2: 50.25, A3: 0.835, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 240.0, A14: 118.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 0.0, A2: 50.25, A3: 0.835, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 240.0, A14: 118.0.
|
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: 36.58, A3: 0.29, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 1.0, A10: 10.0, A11: 0.0, A12: 2.0, A13: 200.0, A14: 19.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 0.0, A2: 36.58, A3: 0.29, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 1.0, A10: 10.0, A11: 0.0, A12: 2.0, A13: 200.0, A14: 19.0.
|
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: 20.83, A3: 3.0, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.04, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 100.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 0.0, A2: 20.83, A3: 3.0, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.04, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 100.0, A14: 1.0.
|
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: 28.92, A3: 15.0, A4: 2.0, A5: 8.0, A6: 8.0, A7: 5.335, A8: 1.0, A9: 1.0, A10: 11.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 2284.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 28.92, A3: 15.0, A4: 2.0, A5: 8.0, A6: 8.0, A7: 5.335, A8: 1.0, A9: 1.0, A10: 11.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 2284.0.
|
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: 0.0, A2: 22.5, A3: 8.5, A4: 2.0, A5: 11.0, A6: 4.0, A7: 1.75, A8: 1.0, A9: 1.0, A10: 10.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 991.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 0.0, A2: 22.5, A3: 8.5, A4: 2.0, A5: 11.0, A6: 4.0, A7: 1.75, A8: 1.0, A9: 1.0, A10: 10.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 991.0.
|
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: 23.25, A3: 12.625, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 5553.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 23.25, A3: 12.625, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 5553.0.
|
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: 29.5, A3: 1.085, A4: 1.0, A5: 14.0, A6: 4.0, A7: 1.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 280.0, A14: 14.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 0.0, A2: 29.5, A3: 1.085, A4: 1.0, A5: 14.0, A6: 4.0, A7: 1.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 280.0, A14: 14.0.
|
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: 0.0, A2: 32.0, A3: 6.0, A4: 2.0, A5: 2.0, A6: 4.0, A7: 1.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 272.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 0.0, A2: 32.0, A3: 6.0, A4: 2.0, A5: 2.0, A6: 4.0, A7: 1.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 272.0, A14: 1.0.
|
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: 20.5, A3: 11.835, A4: 2.0, A5: 8.0, A6: 8.0, A7: 6.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 340.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 0.0, A2: 20.5, A3: 11.835, A4: 2.0, A5: 8.0, A6: 8.0, A7: 6.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 340.0, A14: 1.0.
|
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: 1.0, A2: 29.83, A3: 1.25, A4: 1.0, A5: 4.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 224.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 29.83, A3: 1.25, A4: 1.0, A5: 4.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 224.0, A14: 1.0.
|
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: 21.17, A3: 0.25, A4: 1.0, A5: 8.0, A6: 8.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 280.0, A14: 205.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 21.17, A3: 0.25, A4: 1.0, A5: 8.0, A6: 8.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 280.0, A14: 205.0.
|
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: 0.0, A2: 24.83, A3: 4.5, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 360.0, A14: 7.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 0.0, A2: 24.83, A3: 4.5, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 360.0, A14: 7.0.
|
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: 36.33, A3: 3.79, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.165, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 200.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 36.33, A3: 3.79, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.165, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 200.0, A14: 1.0.
|
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: 0.0, A2: 47.25, A3: 0.75, A4: 2.0, A5: 11.0, A6: 8.0, A7: 2.75, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 333.0, A14: 893.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 0.0, A2: 47.25, A3: 0.75, A4: 2.0, A5: 11.0, A6: 8.0, A7: 2.75, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 333.0, A14: 893.0.
|
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: 30.58, A3: 10.665, A4: 2.0, A5: 11.0, A6: 8.0, A7: 0.085, A8: 0.0, A9: 1.0, A10: 12.0, A11: 1.0, A12: 2.0, A13: 129.0, A14: 4.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 0.0, A2: 30.58, A3: 10.665, A4: 2.0, A5: 11.0, A6: 8.0, A7: 0.085, A8: 0.0, A9: 1.0, A10: 12.0, A11: 1.0, A12: 2.0, A13: 129.0, A14: 4.0.
|
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: 32.67, A3: 5.5, A4: 2.0, A5: 11.0, A6: 8.0, A7: 5.5, A8: 1.0, A9: 1.0, A10: 12.0, A11: 1.0, A12: 2.0, A13: 408.0, A14: 1001.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 32.67, A3: 5.5, A4: 2.0, A5: 11.0, A6: 8.0, A7: 5.5, A8: 1.0, A9: 1.0, A10: 12.0, A11: 1.0, A12: 2.0, A13: 408.0, A14: 1001.0.
|
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: 40.58, A3: 3.29, A4: 2.0, A5: 7.0, A6: 4.0, A7: 3.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 400.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 40.58, A3: 3.29, A4: 2.0, A5: 7.0, A6: 4.0, A7: 3.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 400.0, A14: 1.0.
|
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: 24.42, A3: 2.0, A4: 2.0, A5: 10.0, A6: 2.0, A7: 0.165, A8: 0.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 320.0, A14: 1301.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 24.42, A3: 2.0, A4: 2.0, A5: 10.0, A6: 2.0, A7: 0.165, A8: 0.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 320.0, A14: 1301.0.
|
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: 23.08, A3: 11.5, A4: 2.0, A5: 3.0, A6: 4.0, A7: 3.5, A8: 1.0, A9: 1.0, A10: 9.0, A11: 0.0, A12: 2.0, A13: 56.0, A14: 743.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 23.08, A3: 11.5, A4: 2.0, A5: 3.0, A6: 4.0, A7: 3.5, A8: 1.0, A9: 1.0, A10: 9.0, A11: 0.0, A12: 2.0, A13: 56.0, A14: 743.0.
|
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: 1.0, A2: 20.17, A3: 9.25, A4: 2.0, A5: 8.0, A6: 4.0, A7: 1.665, A8: 1.0, A9: 1.0, A10: 3.0, A11: 1.0, A12: 2.0, A13: 40.0, A14: 29.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 20.17, A3: 9.25, A4: 2.0, A5: 8.0, A6: 4.0, A7: 1.665, A8: 1.0, A9: 1.0, A10: 3.0, A11: 1.0, A12: 2.0, A13: 40.0, A14: 29.0.
|
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: 23.58, A3: 0.46, A4: 1.0, A5: 9.0, A6: 4.0, A7: 2.625, A8: 1.0, A9: 1.0, A10: 6.0, A11: 1.0, A12: 2.0, A13: 208.0, A14: 348.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 23.58, A3: 0.46, A4: 1.0, A5: 9.0, A6: 4.0, A7: 2.625, A8: 1.0, A9: 1.0, A10: 6.0, A11: 1.0, A12: 2.0, A13: 208.0, A14: 348.0.
|
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: 0.0, A2: 60.58, A3: 16.5, A4: 2.0, A5: 11.0, A6: 4.0, A7: 11.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 21.0, A14: 10562.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 0.0, A2: 60.58, A3: 16.5, A4: 2.0, A5: 11.0, A6: 4.0, A7: 11.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 21.0, A14: 10562.0.
|
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: 21.5, A3: 9.75, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.25, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 140.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 21.5, A3: 9.75, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.25, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 140.0, A14: 1.0.
|
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: 51.33, A3: 10.0, A4: 2.0, A5: 3.0, A6: 5.0, A7: 0.0, A8: 1.0, A9: 1.0, A10: 11.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1250.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 51.33, A3: 10.0, A4: 2.0, A5: 3.0, A6: 5.0, A7: 0.0, A8: 1.0, A9: 1.0, A10: 11.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1250.0.
|
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: 33.67, A3: 0.375, A4: 2.0, A5: 13.0, A6: 4.0, A7: 0.375, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 300.0, A14: 45.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 0.0, A2: 33.67, A3: 0.375, A4: 2.0, A5: 13.0, A6: 4.0, A7: 0.375, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 300.0, A14: 45.0.
|
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: 47.67, A3: 2.5, A4: 2.0, A5: 7.0, A6: 5.0, A7: 2.5, A8: 1.0, A9: 1.0, A10: 12.0, A11: 1.0, A12: 2.0, A13: 410.0, A14: 2511.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 47.67, A3: 2.5, A4: 2.0, A5: 7.0, A6: 5.0, A7: 2.5, A8: 1.0, A9: 1.0, A10: 12.0, A11: 1.0, A12: 2.0, A13: 410.0, A14: 2511.0.
|
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: 1.0, A2: 19.33, A3: 9.5, A4: 2.0, A5: 11.0, A6: 4.0, A7: 1.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 60.0, A14: 401.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 19.33, A3: 9.5, A4: 2.0, A5: 11.0, A6: 4.0, A7: 1.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 60.0, A14: 401.0.
|
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: 18.17, A3: 10.25, A4: 2.0, A5: 8.0, A6: 8.0, A7: 1.085, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 320.0, A14: 14.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 18.17, A3: 10.25, A4: 2.0, A5: 8.0, A6: 8.0, A7: 1.085, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 320.0, A14: 14.0.
|
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: 45.83, A3: 10.5, A4: 2.0, A5: 11.0, A6: 4.0, A7: 5.0, A8: 1.0, A9: 1.0, A10: 7.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 0.0, A2: 45.83, A3: 10.5, A4: 2.0, A5: 11.0, A6: 4.0, A7: 5.0, A8: 1.0, A9: 1.0, A10: 7.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0.
|
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: 1.0, A2: 34.67, A3: 1.08, A4: 2.0, A5: 7.0, A6: 4.0, A7: 1.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 28.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 34.67, A3: 1.08, A4: 2.0, A5: 7.0, A6: 4.0, A7: 1.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 28.0, A14: 1.0.
|
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: 33.75, A3: 2.75, A4: 2.0, A5: 3.0, A6: 5.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 180.0, A14: 1.0.
|
bad
|
[
"good",
"bad"
] | 1 |
The client has attributes: A1: 1.0, A2: 33.75, A3: 2.75, A4: 2.0, A5: 3.0, A6: 5.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 180.0, A14: 1.0.
|
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: 22.08, A3: 0.83, A4: 2.0, A5: 8.0, A6: 8.0, A7: 2.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 128.0, A14: 1.0.
|
good
|
[
"good",
"bad"
] | 0 |
The client has attributes: A1: 1.0, A2: 22.08, A3: 0.83, A4: 2.0, A5: 8.0, A6: 8.0, A7: 2.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 128.0, A14: 1.0.
|
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