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100
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 1.0, A2: 30.17, A3: 1.085, A4: 1.0, A5: 8.0, A6: 4.0, A7: 0.04, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 170.0, A14: 180.0.
bad
[ "good", "bad" ]
1
The client has attributes: A1: 1.0, A2: 30.17, A3: 1.085, A4: 1.0, A5: 8.0, A6: 4.0, A7: 0.04, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 170.0, A14: 180.0.
101
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 1.0, A2: 44.25, A3: 11.0, A4: 1.0, A5: 2.0, A6: 4.0, A7: 1.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 0.0, A14: 1.0.
bad
[ "good", "bad" ]
1
The client has attributes: A1: 1.0, A2: 44.25, A3: 11.0, A4: 1.0, A5: 2.0, A6: 4.0, A7: 1.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 0.0, A14: 1.0.
102
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 1.0, A2: 25.5, A3: 0.375, A4: 2.0, A5: 7.0, A6: 4.0, A7: 0.25, A8: 1.0, A9: 1.0, A10: 3.0, A11: 0.0, A12: 2.0, A13: 260.0, A14: 15109.0.
good
[ "good", "bad" ]
0
The client has attributes: A1: 1.0, A2: 25.5, A3: 0.375, A4: 2.0, A5: 7.0, A6: 4.0, A7: 0.25, A8: 1.0, A9: 1.0, A10: 3.0, A11: 0.0, A12: 2.0, A13: 260.0, A14: 15109.0.
103
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 0.0, A2: 33.92, A3: 1.585, A4: 1.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 320.0, A14: 1.0.
bad
[ "good", "bad" ]
1
The client has attributes: A1: 0.0, A2: 33.92, A3: 1.585, A4: 1.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 320.0, A14: 1.0.
104
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 0.0, A2: 24.5, A3: 2.415, A4: 1.0, A5: 8.0, A6: 4.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 1.0.
bad
[ "good", "bad" ]
1
The client has attributes: A1: 0.0, A2: 24.5, A3: 2.415, A4: 1.0, A5: 8.0, A6: 4.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 1.0.
105
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 1.0, A2: 43.25, A3: 3.0, A4: 2.0, A5: 11.0, A6: 8.0, A7: 6.0, A8: 1.0, A9: 1.0, A10: 11.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 1.0.
good
[ "good", "bad" ]
0
The client has attributes: A1: 1.0, A2: 43.25, A3: 3.0, A4: 2.0, A5: 11.0, A6: 8.0, A7: 6.0, A8: 1.0, A9: 1.0, A10: 11.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 1.0.
106
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 1.0, A2: 56.58, A3: 18.5, A4: 2.0, A5: 2.0, A6: 5.0, A7: 15.0, A8: 1.0, A9: 1.0, A10: 17.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0.
good
[ "good", "bad" ]
0
The client has attributes: A1: 1.0, A2: 56.58, A3: 18.5, A4: 2.0, A5: 2.0, A6: 5.0, A7: 15.0, A8: 1.0, A9: 1.0, A10: 17.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0.
107
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 0.0, A2: 44.17, A3: 6.665, A4: 2.0, A5: 11.0, A6: 4.0, A7: 7.375, A8: 1.0, A9: 1.0, A10: 3.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0.
good
[ "good", "bad" ]
0
The client has attributes: A1: 0.0, A2: 44.17, A3: 6.665, A4: 2.0, A5: 11.0, A6: 4.0, A7: 7.375, A8: 1.0, A9: 1.0, A10: 3.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0.
108
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 0.0, A2: 44.33, A3: 0.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 2.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0.
good
[ "good", "bad" ]
0
The client has attributes: A1: 0.0, A2: 44.33, A3: 0.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 2.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0.
109
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 1.0, A2: 23.92, A3: 0.585, A4: 1.0, A5: 13.0, A6: 8.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 240.0, A14: 2.0.
bad
[ "good", "bad" ]
1
The client has attributes: A1: 1.0, A2: 23.92, A3: 0.585, A4: 1.0, A5: 13.0, A6: 8.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 240.0, A14: 2.0.
110
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 1.0, A2: 21.17, A3: 0.875, A4: 1.0, A5: 8.0, A6: 8.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 280.0, A14: 205.0.
bad
[ "good", "bad" ]
1
The client has attributes: A1: 1.0, A2: 21.17, A3: 0.875, A4: 1.0, A5: 8.0, A6: 8.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 280.0, A14: 205.0.
111
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 0.0, A2: 38.25, A3: 6.0, A4: 2.0, A5: 4.0, A6: 4.0, A7: 1.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0.
good
[ "good", "bad" ]
0
The client has attributes: A1: 0.0, A2: 38.25, A3: 6.0, A4: 2.0, A5: 4.0, A6: 4.0, A7: 1.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0.
112
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 1.0, A2: 20.5, A3: 2.415, A4: 2.0, A5: 8.0, A6: 4.0, A7: 2.0, A8: 1.0, A9: 1.0, A10: 11.0, A11: 1.0, A12: 2.0, A13: 200.0, A14: 3001.0.
good
[ "good", "bad" ]
0
The client has attributes: A1: 1.0, A2: 20.5, A3: 2.415, A4: 2.0, A5: 8.0, A6: 4.0, A7: 2.0, A8: 1.0, A9: 1.0, A10: 11.0, A11: 1.0, A12: 2.0, A13: 200.0, A14: 3001.0.
113
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 0.0, A2: 46.67, A3: 0.46, A4: 2.0, A5: 13.0, A6: 8.0, A7: 0.415, A8: 1.0, A9: 1.0, A10: 11.0, A11: 1.0, A12: 2.0, A13: 440.0, A14: 7.0.
good
[ "good", "bad" ]
0
The client has attributes: A1: 0.0, A2: 46.67, A3: 0.46, A4: 2.0, A5: 13.0, A6: 8.0, A7: 0.415, A8: 1.0, A9: 1.0, A10: 11.0, A11: 1.0, A12: 2.0, A13: 440.0, A14: 7.0.
114
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 0.0, A2: 27.67, A3: 2.04, A4: 2.0, A5: 9.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 180.0, A14: 51.0.
bad
[ "good", "bad" ]
1
The client has attributes: A1: 0.0, A2: 27.67, A3: 2.04, A4: 2.0, A5: 9.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 180.0, A14: 51.0.
115
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 1.0, A2: 39.5, A3: 4.25, A4: 2.0, A5: 8.0, A6: 5.0, A7: 6.5, A8: 1.0, A9: 1.0, A10: 16.0, A11: 0.0, A12: 2.0, A13: 117.0, A14: 1211.0.
good
[ "good", "bad" ]
0
The client has attributes: A1: 1.0, A2: 39.5, A3: 4.25, A4: 2.0, A5: 8.0, A6: 5.0, A7: 6.5, A8: 1.0, A9: 1.0, A10: 16.0, A11: 0.0, A12: 2.0, A13: 117.0, A14: 1211.0.
116
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 1.0, A2: 26.17, A3: 0.25, A4: 2.0, A5: 3.0, A6: 5.0, A7: 0.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0.
good
[ "good", "bad" ]
0
The client has attributes: A1: 1.0, A2: 26.17, A3: 0.25, A4: 2.0, A5: 3.0, A6: 5.0, A7: 0.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0.
117
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 1.0, A2: 39.42, A3: 1.71, A4: 1.0, A5: 7.0, A6: 4.0, A7: 0.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 400.0, A14: 1.0.
bad
[ "good", "bad" ]
1
The client has attributes: A1: 1.0, A2: 39.42, A3: 1.71, A4: 1.0, A5: 7.0, A6: 4.0, A7: 0.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 400.0, A14: 1.0.
118
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 0.0, A2: 27.58, A3: 3.0, A4: 2.0, A5: 7.0, A6: 4.0, A7: 2.79, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 280.0, A14: 11.0.
bad
[ "good", "bad" ]
1
The client has attributes: A1: 0.0, A2: 27.58, A3: 3.0, A4: 2.0, A5: 7.0, A6: 4.0, A7: 2.79, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 280.0, A14: 11.0.
119
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 0.0, A2: 18.42, A3: 9.25, A4: 2.0, A5: 11.0, A6: 4.0, A7: 1.21, A8: 1.0, A9: 1.0, A10: 4.0, A11: 0.0, A12: 2.0, A13: 60.0, A14: 541.0.
good
[ "good", "bad" ]
0
The client has attributes: A1: 0.0, A2: 18.42, A3: 9.25, A4: 2.0, A5: 11.0, A6: 4.0, A7: 1.21, A8: 1.0, A9: 1.0, A10: 4.0, A11: 0.0, A12: 2.0, A13: 60.0, A14: 541.0.
120
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 1.0, A2: 25.67, A3: 2.21, A4: 1.0, A5: 6.0, A6: 4.0, A7: 4.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 188.0, A14: 1.0.
bad
[ "good", "bad" ]
1
The client has attributes: A1: 1.0, A2: 25.67, A3: 2.21, A4: 1.0, A5: 6.0, A6: 4.0, A7: 4.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 188.0, A14: 1.0.
121
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 1.0, A2: 22.92, A3: 3.165, A4: 1.0, A5: 8.0, A6: 4.0, A7: 0.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 160.0, A14: 1059.0.
bad
[ "good", "bad" ]
1
The client has attributes: A1: 1.0, A2: 22.92, A3: 3.165, A4: 1.0, A5: 8.0, A6: 4.0, A7: 0.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 160.0, A14: 1059.0.
122
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 0.0, A2: 28.42, A3: 3.5, A4: 2.0, A5: 9.0, A6: 4.0, A7: 0.835, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 280.0, A14: 1.0.
good
[ "good", "bad" ]
0
The client has attributes: A1: 0.0, A2: 28.42, A3: 3.5, A4: 2.0, A5: 9.0, A6: 4.0, A7: 0.835, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 280.0, A14: 1.0.
123
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 1.0, A2: 18.58, A3: 10.29, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.415, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 1.0.
bad
[ "good", "bad" ]
1
The client has attributes: A1: 1.0, A2: 18.58, A3: 10.29, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.415, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 1.0.
124
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 1.0, A2: 21.67, A3: 1.165, A4: 1.0, A5: 4.0, A6: 4.0, A7: 2.5, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 180.0, A14: 21.0.
bad
[ "good", "bad" ]
1
The client has attributes: A1: 1.0, A2: 21.67, A3: 1.165, A4: 1.0, A5: 4.0, A6: 4.0, A7: 2.5, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 180.0, A14: 21.0.
125
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 1.0, A2: 48.17, A3: 3.5, A4: 2.0, A5: 6.0, A6: 4.0, A7: 3.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 230.0, A14: 1.0.
good
[ "good", "bad" ]
0
The client has attributes: A1: 1.0, A2: 48.17, A3: 3.5, A4: 2.0, A5: 6.0, A6: 4.0, A7: 3.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 230.0, A14: 1.0.
126
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 1.0, A2: 35.17, A3: 25.125, A4: 2.0, A5: 14.0, A6: 8.0, A7: 1.625, A8: 1.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 515.0, A14: 501.0.
good
[ "good", "bad" ]
0
The client has attributes: A1: 1.0, A2: 35.17, A3: 25.125, A4: 2.0, A5: 14.0, A6: 8.0, A7: 1.625, A8: 1.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 515.0, A14: 501.0.
127
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 1.0, A2: 18.67, A3: 5.0, A4: 2.0, A5: 11.0, A6: 4.0, A7: 0.375, A8: 1.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 39.0.
bad
[ "good", "bad" ]
1
The client has attributes: A1: 1.0, A2: 18.67, A3: 5.0, A4: 2.0, A5: 11.0, A6: 4.0, A7: 0.375, A8: 1.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 39.0.
128
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 0.0, A2: 19.75, A3: 0.75, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.795, A8: 1.0, A9: 1.0, A10: 5.0, A11: 1.0, A12: 2.0, A13: 140.0, A14: 6.0.
bad
[ "good", "bad" ]
1
The client has attributes: A1: 0.0, A2: 19.75, A3: 0.75, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.795, A8: 1.0, A9: 1.0, A10: 5.0, A11: 1.0, A12: 2.0, A13: 140.0, A14: 6.0.
129
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 1.0, A2: 26.17, A3: 0.835, A4: 2.0, A5: 13.0, A6: 4.0, A7: 1.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 100.0, A14: 1.0.
bad
[ "good", "bad" ]
1
The client has attributes: A1: 1.0, A2: 26.17, A3: 0.835, A4: 2.0, A5: 13.0, A6: 4.0, A7: 1.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 100.0, A14: 1.0.
130
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 1.0, A2: 39.5, A3: 1.625, A4: 2.0, A5: 8.0, A6: 4.0, A7: 1.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 317.0.
bad
[ "good", "bad" ]
1
The client has attributes: A1: 1.0, A2: 39.5, A3: 1.625, A4: 2.0, A5: 8.0, A6: 4.0, A7: 1.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 317.0.
131
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 0.0, A2: 22.5, A3: 0.415, A4: 2.0, A5: 3.0, A6: 4.0, A7: 0.335, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 144.0, A14: 1.0.
bad
[ "good", "bad" ]
1
The client has attributes: A1: 0.0, A2: 22.5, A3: 0.415, A4: 2.0, A5: 3.0, A6: 4.0, A7: 0.335, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 144.0, A14: 1.0.
132
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 1.0, A2: 20.0, A3: 0.0, A4: 2.0, A5: 2.0, A6: 4.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 144.0, A14: 1.0.
bad
[ "good", "bad" ]
1
The client has attributes: A1: 1.0, A2: 20.0, A3: 0.0, A4: 2.0, A5: 2.0, A6: 4.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 144.0, A14: 1.0.
133
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 1.0, A2: 17.67, A3: 4.46, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 80.0, A14: 1.0.
bad
[ "good", "bad" ]
1
The client has attributes: A1: 1.0, A2: 17.67, A3: 4.46, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 80.0, A14: 1.0.
134
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 1.0, A2: 22.67, A3: 2.54, A4: 1.0, A5: 8.0, A6: 8.0, A7: 2.585, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0.
good
[ "good", "bad" ]
0
The client has attributes: A1: 1.0, A2: 22.67, A3: 2.54, A4: 1.0, A5: 8.0, A6: 8.0, A7: 2.585, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 1.0.
135
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 0.0, A2: 25.75, A3: 0.5, A4: 2.0, A5: 8.0, A6: 8.0, A7: 0.875, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 491.0, A14: 1.0.
good
[ "good", "bad" ]
0
The client has attributes: A1: 0.0, A2: 25.75, A3: 0.5, A4: 2.0, A5: 8.0, A6: 8.0, A7: 0.875, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 491.0, A14: 1.0.
136
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 0.0, A2: 22.75, A3: 6.165, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 220.0, A14: 1001.0.
bad
[ "good", "bad" ]
1
The client has attributes: A1: 0.0, A2: 22.75, A3: 6.165, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 220.0, A14: 1001.0.
137
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 1.0, A2: 35.25, A3: 16.5, A4: 1.0, A5: 8.0, A6: 4.0, A7: 4.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 1.0.
bad
[ "good", "bad" ]
1
The client has attributes: A1: 1.0, A2: 35.25, A3: 16.5, A4: 1.0, A5: 8.0, A6: 4.0, A7: 4.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 1.0.
138
Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. Text: The client has attributes: A1: 1.0, A2: 20.67, A3: 0.415, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 45.0.
bad
[ "good", "bad" ]
1
The client has attributes: A1: 1.0, A2: 20.67, A3: 0.415, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 45.0.