diff --git a/configs/_base_/recog_datasets/ST_SA_MJ_real_train.py b/configs/_base_/recog_datasets/ST_SA_MJ_real_train.py
index b0eaeddd..9a4ecdbc 100644
--- a/configs/_base_/recog_datasets/ST_SA_MJ_real_train.py
+++ b/configs/_base_/recog_datasets/ST_SA_MJ_real_train.py
@@ -6,7 +6,7 @@ data_root = 'data/rec'
 train_img_prefix1 = 'icdar_2011'
 train_img_prefix2 = 'icdar_2013'
 train_img_prefix3 = 'icdar_2015'
-train_img_prefix4 = 'coco_text'
+train_img_prefix4 = 'coco_text_v1'
 train_img_prefix5 = 'IIIT5K'
 train_img_prefix6 = 'synthtext_add'
 train_img_prefix7 = 'SynthText/synthtext/SynthText_patch_horizontal'
diff --git a/configs/textrecog/sar/sar_r31_sequential_decoder_academic.py b/configs/textrecog/sar/sar_r31_sequential_decoder_academic.py
index 50ba3b24..b706eb7e 100644
--- a/configs/textrecog/sar/sar_r31_sequential_decoder_academic.py
+++ b/configs/textrecog/sar/sar_r31_sequential_decoder_academic.py
@@ -7,13 +7,15 @@ _base_ = [
 ]
 
 # dataset settings
-train_list = {{_base_.train_list}}
-test_list = {{_base_.test_list}}
 file_client_args = dict(backend='disk')
 default_hooks = dict(logger=dict(type='LoggerHook', interval=100))
 
 train_pipeline = [
-    dict(type='LoadImageFromFile', file_client_args=file_client_args),
+    dict(
+        type='LoadImageFromFile',
+        file_client_args=file_client_args,
+        ignore_empty=True,
+        min_size=5),
     dict(type='LoadOCRAnnotations', with_text=True),
     dict(type='Resize', scale=(160, 48), keep_ratio=False),
     dict(
@@ -36,32 +38,52 @@ test_pipeline = [
                    'instances'))
 ]
 
+# dataset settings
+ic11_rec_train = _base_.ic11_rec_train
+ic13_rec_train = _base_.ic13_rec_train
+ic15_rec_train = _base_.ic15_rec_train
+cocov1_rec_train = _base_.cocov1_rec_train
+iiit5k_rec_train = _base_.iiit5k_rec_train
+st_add_rec_train = _base_.st_add_rec_train
+st_rec_train = _base_.st_rec_train
+mj_rec_trian = _base_.mj_rec_trian
+
+ic11_rec_train.pipeline = train_pipeline
+ic13_rec_train.pipeline = train_pipeline
+ic15_rec_train.pipeline = train_pipeline
+cocov1_rec_train.pipeline = train_pipeline
+iiit5k_rec_train.pipeline = train_pipeline
+st_add_rec_train.pipeline = train_pipeline
+st_rec_train.pipeline = train_pipeline
+mj_rec_trian.pipeline = train_pipeline
+repeat_ic11 = dict(type='RepeatDataset', dataset=ic11_rec_train, times=20)
+repeat_ic13 = dict(type='RepeatDataset', dataset=ic13_rec_train, times=20)
+repeat_ic15 = dict(type='RepeatDataset', dataset=ic15_rec_train, times=20)
+repeat_cocov1 = dict(type='RepeatDataset', dataset=cocov1_rec_train, times=20)
+repeat_iiit5k = dict(type='RepeatDataset', dataset=iiit5k_rec_train, times=20)
+
 train_dataloader = dict(
     batch_size=64,
-    num_workers=8,
+    num_workers=16,
     persistent_workers=True,
     sampler=dict(type='DefaultSampler', shuffle=True),
     dataset=dict(
-        type='ConcatDataset', datasets=train_list, pipeline=train_pipeline))
+        type='ConcatDataset',
+        datasets=[
+            repeat_ic11, repeat_ic13, repeat_ic15, repeat_cocov1,
+            repeat_iiit5k, st_add_rec_train, st_rec_train, mj_rec_trian
+        ]))
 
-val_dataloader = dict(
-    batch_size=1,
-    num_workers=4,
-    persistent_workers=True,
-    drop_last=False,
-    sampler=dict(type='DefaultSampler', shuffle=False),
-    dataset=dict(
-        type='ConcatDataset', datasets=test_list, pipeline=test_pipeline))
-test_dataloader = val_dataloader
-
-val_evaluator = [
-    dict(
-        type='WordMetric', mode=['exact', 'ignore_case',
-                                 'ignore_case_symbol']),
-    dict(type='CharMetric')
-]
-test_evaluator = val_evaluator
+test_cfg = dict(type='MultiTestLoop')
+val_cfg = dict(type='MultiValLoop')
+val_dataloader = _base_.val_dataloader
+test_dataloader = _base_.test_dataloader
+for dataloader in test_dataloader:
+    dataloader['dataset']['pipeline'] = test_pipeline
+for dataloader in val_dataloader:
+    dataloader['dataset']['pipeline'] = test_pipeline
 visualizer = dict(type='TextRecogLocalVisualizer', name='visualizer')
+
 dictionary = dict(
     type='Dictionary',
     dict_file='dicts/english_digits_symbols.txt',
@@ -90,6 +112,6 @@ model = dict(
         pred_concat=True,
         postprocessor=dict(type='AttentionPostprocessor'),
         module_loss=dict(
-            type='CEModuleLoss', ignore_first_char=True, reduction='mean')),
-    dictionary=dictionary,
-    max_seq_len=30)
+            type='CEModuleLoss', ignore_first_char=True, reduction='mean'),
+        dictionary=dictionary,
+        max_seq_len=30))