diff --git a/pkg/localcontroller/managers/incrementallearning/incrementallearningjob.go b/pkg/localcontroller/managers/incrementallearning/incrementallearningjob.go
index f4549168..f8247dd8 100644
--- a/pkg/localcontroller/managers/incrementallearning/incrementallearningjob.go
+++ b/pkg/localcontroller/managers/incrementallearning/incrementallearningjob.go
@@ -1030,18 +1030,17 @@ func (im *Manager) handleData(job *Job) {
 
 			jobConfig.Lock.Lock()
 			jobConfig.DataSamples.TrainSamples = append(jobConfig.DataSamples.TrainSamples,
-				samples[(previousNumberOfSamples+1):(previousNumberOfSamples+trainNum+1)]...)
+				samples[previousNumberOfSamples:previousNumberOfSamples+trainNum]...)
 			klog.Infof("job(%s)'s current train samples nums is %d", jobConfig.UniqueIdentifier, trainNum)
 
 			jobConfig.DataSamples.EvalVersionSamples = append(jobConfig.DataSamples.EvalVersionSamples,
-				samples[(previousNumberOfSamples+trainNum+1):])
+				samples[previousNumberOfSamples+trainNum:])
 			jobConfig.Lock.Unlock()
 
 			for _, v := range jobConfig.DataSamples.EvalVersionSamples {
 				jobConfig.DataSamples.EvalSamples = append(jobConfig.DataSamples.EvalSamples, v...)
 			}
-			evalNum := newNumberOfSamples - trainNum
-			klog.Infof("job(%s)'s current eval samples nums is %d", jobConfig.UniqueIdentifier, evalNum)
+			klog.Infof("job(%s)'s current eval samples nums is %d", jobConfig.UniqueIdentifier, len(jobConfig.DataSamples.EvalSamples))
 
 			jobConfig.DataSamples.PreviousNumbers = currentNumberOfSamples
 		}