| ### problem Level | |
| rate 1>=x > 2/3 easy 650 | |
| rate 2/3>=x > 1/3 normal 158 | |
| rate 1/3>=x >= 0 hard 322 | |
| ### LevelSplit | |
| According to Problem Level, Split Problem to different level. | |
| >>> Easy_count = 650 | |
| >>> Normal_count = 158 | |
| >>> Hard_count = 322 | |
| Train PId count = 906 150 | |
| Dev PId count = 111 10 | |
| Test PId count = 113 20 | |
| Token 2048 | |
| record count = 65355->64538 | |
| record count = 949->927 | |
| record count = 1767 ->1688 | |
| finished processing 64538 data. in ./repairDataset/RepairData-PythonLevel/train.json | |
| loading dataset from: | |
| ./repairDataset/RepairData-PythonLevel/dev.json | |
| finished processing 927 data. in ./repairDataset/RepairData-PythonLevel/dev.json | |
| loading dataset from: | |
| finished processing 1688 data in ./repairDataset/RepairData-PythonLevel/test.json | |
| #### bug localization (fault localization) | |
| If we only consider that the data's token is less than 1024, the number of training data points is 50,223. | |
| ### datasets | |
| #### CRFLPDataset (Code trace fault localization Problem) | |
| used for trianing Bug Locator and test result | |
| #### mixCRPLPDataset (Mixed Code trace fault localization Problem) | |
| used for training Program Modifier with Hybrid Training for Selective Reference | |
| #### Preference training data | |
| "dataNew/FixPerferdataset" | |
| used for training Program Modifier with Adaptive Preference Learning |