| {"id":0,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":1,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":2,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":3,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":4,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":5,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":6,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":7,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":8,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":9,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":10,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":11,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":12,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":13,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":14,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":15,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":16,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":17,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":18,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":19,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":20,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":21,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":22,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":23,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":24,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":25,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":26,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":27,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":28,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":29,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":30,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":31,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":32,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":33,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":34,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":35,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":36,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":37,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":38,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":39,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":40,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":41,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":42,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":43,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":44,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":45,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":46,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":47,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":48,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":49,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":50,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":51,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":52,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":53,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":54,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":55,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":56,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":57,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":58,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":59,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":60,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":61,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":62,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":63,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":64,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":65,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":66,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":67,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":68,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":69,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":70,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":71,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":72,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":73,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":74,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":75,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":76,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":77,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":78,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":79,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":80,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":81,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":82,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":83,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":84,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":85,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":86,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":87,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":88,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":89,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":90,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":91,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":92,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":93,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":94,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":95,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":96,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":97,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":98,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":99,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":100,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":101,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":102,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":103,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":104,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":105,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":106,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":107,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":108,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":109,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":110,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":111,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":112,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":113,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":114,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":115,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":116,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":117,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":118,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":119,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":120,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":121,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":122,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":123,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":124,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":125,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":126,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":127,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":128,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":129,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":130,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":131,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":132,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":133,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":134,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":135,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"good","choices":["good","bad"],"gold":0,"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."} | |
| {"id":136,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":137,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |
| {"id":138,"query":"Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'. \n 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. \n","answer":"bad","choices":["good","bad"],"gold":1,"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."} | |