diff --git a/docs/en/datasets/det.md b/docs/en/datasets/det.md
index dfa375f0..f2f2a48b 100644
--- a/docs/en/datasets/det.md
+++ b/docs/en/datasets/det.md
@@ -86,7 +86,7 @@ inconsistency results in false examples in the training set. Therefore, users sh
 - Step2: Generate `instances_training.json` and `instances_test.json` with following command:
 
   ```bash
-  python tools/data/textdet/ctw1500_converter.py /path/to/ctw1500 -o /path/to/ctw1500 --split-list training test
+  python tools/dataset_converters/textdet/ctw1500_converter.py /path/to/ctw1500 -o /path/to/ctw1500 --split-list training test
   ```
 
 - The resulting directory structure looks like the following:
@@ -126,7 +126,7 @@ inconsistency results in false examples in the training set. Therefore, users sh
 - Step 2: Generate `instances_training.json` and `instances_test.json` with the following command:
 
   ```bash
-  python tools/data/textdet/ic11_converter.py PATH/TO/icdar2011 --nproc 4
+  python tools/dataset_converters/textdet/ic11_converter.py PATH/TO/icdar2011 --nproc 4
   ```
 
 - After running the above codes, the directory structure should be as follows:
@@ -165,7 +165,7 @@ inconsistency results in false examples in the training set. Therefore, users sh
 - Step 2: Generate `instances_training.json` and `instances_test.json` with the following command:
 
   ```bash
-  python tools/data/textdet/ic13_converter.py PATH/TO/icdar2013 --nproc 4
+  python tools/dataset_converters/textdet/ic13_converter.py PATH/TO/icdar2013 --nproc 4
   ```
 
 - After running the above codes, the directory structure should be as follows:
@@ -198,7 +198,7 @@ inconsistency results in false examples in the training set. Therefore, users sh
 - Or, generate `instances_training.json` and `instances_test.json` with the following command:
 
   ```bash
-  python tools/data/textdet/icdar_converter.py /path/to/icdar2015 -o /path/to/icdar2015 -d icdar2015 --split-list training test
+  python tools/dataset_converters/textdet/icdar_converter.py /path/to/icdar2015 -o /path/to/icdar2015 -d icdar2015 --split-list training test
   ```
 
 - The resulting directory structure looks like the following:
@@ -260,7 +260,7 @@ inconsistency results in false examples in the training set. Therefore, users sh
 - Step2: Generate `instances_training.json` and `instances_val.json` with the following command:
 
   ```bash
-  python tools/data/textdet/textocr_converter.py /path/to/textocr
+  python tools/dataset_converters/textdet/textocr_converter.py /path/to/textocr
   ```
 
 - The resulting directory structure looks like the following:
@@ -301,7 +301,7 @@ inconsistency results in false examples in the training set. Therefore, users sh
 - Step2: Generate `instances_training.json` and `instances_test.json` with the following command:
 
   ```bash
-  python tools/data/textdet/totaltext_converter.py /path/to/totaltext
+  python tools/dataset_converters/textdet/totaltext_converter.py /path/to/totaltext
   ```
 
 - The resulting directory structure looks like the following:
@@ -335,7 +335,7 @@ inconsistency results in false examples in the training set. Therefore, users sh
 - Or, generate `instances_training.json` with following command:
 
   ```bash
-  python tools/data/common/curvedsyntext_converter.py PATH/TO/CurvedSynText150k --nproc 4
+  python tools/dataset_converters/common/curvedsyntext_converter.py PATH/TO/CurvedSynText150k --nproc 4
   ```
 
 - The resulting directory structure looks like the following:
@@ -371,7 +371,7 @@ inconsistency results in false examples in the training set. Therefore, users sh
 - Step2: Generate `instances_training.json` and `instances_test.json` with following command:
 
   ```bash
-  python tools/data/textdet/funsd_converter.py PATH/TO/funsd --nproc 4
+  python tools/dataset_converters/textdet/funsd_converter.py PATH/TO/funsd --nproc 4
   ```
 
 - The resulting directory structure looks like the following:
@@ -408,7 +408,7 @@ inconsistency results in false examples in the training set. Therefore, users sh
 - Step2: Generate `instances_training.json` and `instances_val.json` with following command:
 
   ```bash
-  python tools/data/textdet/detext_converter.py PATH/TO/detext --nproc 4
+  python tools/dataset_converters/textdet/detext_converter.py PATH/TO/detext --nproc 4
   ```
 
 - After running the above codes, the directory structure should be as follows:
@@ -445,7 +445,7 @@ inconsistency results in false examples in the training set. Therefore, users sh
 - Step2: Generate `instances_training.json`, `instances_val.json`, and `instances_test.json` with following command:
 
   ```bash
-  python tools/data/textdet/naf_converter.py PATH/TO/naf --nproc 4
+  python tools/dataset_converters/textdet/naf_converter.py PATH/TO/naf --nproc 4
   ```
 
 - After running the above codes, the directory structure should be as follows:
@@ -486,7 +486,7 @@ inconsistency results in false examples in the training set. Therefore, users sh
 - Step3: Generate `instances_training.json` and `instances_test.json` with the following command:
 
   ```bash
-  python tools/data/textdet/sroie_converter.py PATH/TO/sroie --nproc 4
+  python tools/dataset_converters/textdet/sroie_converter.py PATH/TO/sroie --nproc 4
   ```
 
 - After running the above codes, the directory structure should be as follows:
@@ -518,7 +518,7 @@ inconsistency results in false examples in the training set. Therefore, users sh
 - Step2: Generate `instances_training.json`, `instances_val.json`, and `instances_test.json` with following command:
 
   ```bash
-  python tools/data/textdet/lv_converter.py PATH/TO/lv --nproc 4
+  python tools/dataset_converters/textdet/lv_converter.py PATH/TO/lv --nproc 4
   ```
 
 - The resulting directory structure looks like the following:
@@ -556,7 +556,7 @@ inconsistency results in false examples in the training set. Therefore, users sh
   ```bash
   # Annotations of LSVT test split is not publicly available, split a validation
   # set by adding --val-ratio 0.2
-  python tools/data/textdet/lsvt_converter.py PATH/TO/lsvt
+  python tools/dataset_converters/textdet/lsvt_converter.py PATH/TO/lsvt
   ```
 
 - After running the above codes, the directory structure should be as follows:
@@ -590,7 +590,7 @@ inconsistency results in false examples in the training set. Therefore, users sh
 - Step2: Generate `instances_train.json`, `instance_val.json` and `instances_test.json` with the following command:
 
   ```bash
-  python tools/data/textdet/imgur_converter.py PATH/TO/imgur
+  python tools/dataset_converters/textdet/imgur_converter.py PATH/TO/imgur
   ```
 
 - After running the above codes, the directory structure should be as follows:
@@ -622,14 +622,14 @@ inconsistency results in false examples in the training set. Therefore, users sh
 - Step2: Extract zips:
 
   ```bash
-  python tools/data/common/extract_kaist.py PATH/TO/kaist
+  python tools/dataset_converters/common/extract_kaist.py PATH/TO/kaist
   ```
 
 - Step3: Generate `instances_training.json` and `instances_val.json` (optional) with following command:
 
   ```bash
   # Since KAIST does not provide an official split, you can split the dataset by adding --val-ratio 0.2
-  python tools/data/textdet/kaist_converter.py PATH/TO/kaist --nproc 4
+  python tools/dataset_converters/textdet/kaist_converter.py PATH/TO/kaist --nproc 4
   ```
 
 - After running the above codes, the directory structure should be as follows:
@@ -660,7 +660,7 @@ inconsistency results in false examples in the training set. Therefore, users sh
   ```bash
   # Annotations of MTWI test split is not publicly available, split a validation
   # set by adding --val-ratio 0.2
-  python tools/data/textdet/mtwi_converter.py PATH/TO/mtwi --nproc 4
+  python tools/dataset_converters/textdet/mtwi_converter.py PATH/TO/mtwi --nproc 4
   ```
 
 - After running the above codes, the directory structure should be as follows:
@@ -694,7 +694,7 @@ inconsistency results in false examples in the training set. Therefore, users sh
 - Step2: Generate `instances_training.json` and `instances_val.json` with the following command:
 
   ```bash
-  python tools/data/textdet/cocotext_converter.py PATH/TO/coco_textv2
+  python tools/dataset_converters/textdet/cocotext_converter.py PATH/TO/coco_textv2
   ```
 
 - After running the above codes, the directory structure should be as follows:
@@ -729,7 +729,7 @@ inconsistency results in false examples in the training set. Therefore, users sh
   ```bash
   # Annotations of ReCTS test split is not publicly available, split a validation
   # set by adding --val-ratio 0.2
-  python tools/data/textdet/rects_converter.py PATH/TO/rects --nproc 4 --val-ratio 0.2
+  python tools/dataset_converters/textdet/rects_converter.py PATH/TO/rects --nproc 4 --val-ratio 0.2
   ```
 
 - After running the above codes, the directory structure should be as follows:
@@ -770,7 +770,7 @@ inconsistency results in false examples in the training set. Therefore, users sh
 - Step3: Generate `instances_training.json` and `instances_val.json` (optional). Since the original dataset doesn't have a validation set, you may specify `--val-ratio` to split the dataset. E.g., if val-ratio is 0.2, then 20% of the data are left out as the validation set in this example.
 
   ```bash
-  python tools/data/textdet/ilst_converter.py    PATH/TO/IIIT-ILST --nproc 4
+  python tools/dataset_converters/textdet/ilst_converter.py    PATH/TO/IIIT-ILST --nproc 4
   ```
 
 - After running the above codes, the directory structure should be as follows:
@@ -807,7 +807,7 @@ inconsistency results in false examples in the training set. Therefore, users sh
 - Step2: Generate `instances_training.json`, `instances_test.json` and `instances_unseen_test.json`
 
   ```bash
-  python tools/data/textdet/vintext_converter.py PATH/TO/vintext --nproc 4
+  python tools/dataset_converters/textdet/vintext_converter.py PATH/TO/vintext --nproc 4
   ```
 
 - After running the above codes, the directory structure should be as follows:
@@ -858,7 +858,7 @@ inconsistency results in false examples in the training set. Therefore, users sh
 - Step3: - Step3: Generate `instances_training.json` and `instances_val.json` (optional). Since the original dataset doesn't have a validation set, you may specify `--val-ratio` to split the dataset. E.g., if val-ratio is 0.2, then 20% of the data are left out as the validation set in this example.
 
   ```bash
-  python tools/data/textdet/bid_converter.py PATH/TO/BID --nproc 4
+  python tools/dataset_converters/textdet/bid_converter.py PATH/TO/BID --nproc 4
   ```
 
 - After running the above codes, the directory structure should be as follows:
@@ -879,7 +879,7 @@ inconsistency results in false examples in the training set. Therefore, users sh
 
   ```bash
   # Annotations of RCTW test split is not publicly available, split a validation set by adding --val-ratio 0.2
-  python tools/data/textdet/rctw_converter.py PATH/TO/rctw --nproc 4
+  python tools/dataset_converters/textdet/rctw_converter.py PATH/TO/rctw --nproc 4
   ```
 
 - After running the above codes, the directory structure should be as follows:
@@ -930,7 +930,7 @@ inconsistency results in false examples in the training set. Therefore, users sh
 
   ```bash
   # Collect word annotation from HierText  --level word
-  python tools/data/textdet/hiertext_converter.py PATH/TO/HierText --level word --nproc 4
+  python tools/dataset_converters/textdet/hiertext_converter.py PATH/TO/HierText --level word --nproc 4
   ```
 
 - After running the above codes, the directory structure should be as follows:
diff --git a/docs/en/datasets/ner.md b/docs/en/datasets/ner.md
deleted file mode 100644
index efda24e8..00000000
--- a/docs/en/datasets/ner.md
+++ /dev/null
@@ -1,22 +0,0 @@
-# Named Entity Recognition
-
-## Overview
-
-The structure of the named entity recognition dataset directory is organized as follows.
-
-```text
-└── cluener2020
-  ├── cluener_predict.json
-  ├── dev.json
-  ├── README.md
-  ├── test.json
-  ├── train.json
-  └── vocab.txt
-```
-
-## Preparation Steps
-
-### CLUENER2020
-
-- Download and extract [cluener_public.zip](https://storage.googleapis.com/cluebenchmark/tasks/cluener_public.zip) to `cluener2020/`
-- Download [vocab.txt](https://download.openmmlab.com/mmocr/data/cluener_public/vocab.txt) and move `vocab.txt` to `cluener2020/`
diff --git a/docs/en/datasets/recog.md b/docs/en/datasets/recog.md
index 790b2f8a..dac7c2d3 100644
--- a/docs/en/datasets/recog.md
+++ b/docs/en/datasets/recog.md
@@ -82,7 +82,7 @@
 - Step2: Convert original annotations to `Train_label.jsonl` and `Test_label.jsonl` with the following command:
 
   ```bash
-  python tools/data/textrecog/ic11_converter.py PATH/TO/icdar2011
+  python tools/dataset_converters/textrecog/ic11_converter.py PATH/TO/icdar2011
   ```
 
 - After running the above codes, the directory structure should be as follows:
@@ -120,7 +120,7 @@
 - Step 2: Generate `Train_label.jsonl` and `Test_label.jsonl` with the following command:
 
   ```bash
-  python tools/data/textrecog/ic13_converter.py PATH/TO/icdar2013
+  python tools/dataset_converters/textrecog/ic13_converter.py PATH/TO/icdar2013
   ```
 
 - After running the above codes, the directory structure should be as follows:
@@ -185,7 +185,7 @@ should be as follows:
 - Step3:
 
   ```bash
-  python tools/data/textrecog/svt_converter.py <download_svt_dir_path>
+  python tools/dataset_converters/textrecog/svt_converter.py <download_svt_dir_path>
   ```
 
 - After running the above codes, the directory structure
@@ -277,7 +277,7 @@ Please make sure you're using the right annotation to train the model by checkin
 
   # Convert 'txt' format annos to 'lmdb' (optional)
   cd /path/to/mmocr
-  python tools/data/utils/lmdb_converter.py data/mixture/Syn90k/label.txt data/mixture/Syn90k/label.lmdb --label-only
+  python tools/dataset_converters/utils/txt2lmdb.py -i data/mixture/Syn90k/label.txt -o data/mixture/Syn90k/label.lmdb
   ```
 
 - After running the above codes, the directory structure
@@ -324,11 +324,11 @@ Please make sure you're using the right annotation to train the model by checkin
   ```bash
   cd /path/to/mmocr
 
-  python tools/data/textrecog/synthtext_converter.py data/mixture/SynthText/gt.mat data/mixture/SynthText/ data/mixture/SynthText/synthtext/SynthText_patch_horizontal --n_proc 8
+  python tools/dataset_converters/textrecog/synthtext_converter.py data/mixture/SynthText/gt.mat data/mixture/SynthText/ data/mixture/SynthText/synthtext/SynthText_patch_horizontal --n_proc 8
 
   # Convert 'txt' format annos to 'lmdb' (optional)
   cd /path/to/mmocr
-  python tools/data/utils/lmdb_converter.py data/mixture/SynthText/label.txt data/mixture/SynthText/label.lmdb --label-only
+  python tools/dataset_converters/utils/txt2lmdb.py -i data/mixture/SynthText/label.txt -o data/mixture/SynthText/label.lmdb
   ```
 
 - After running the above codes, the directory structure
@@ -366,7 +366,7 @@ should be as follows:
 
   # Convert 'txt' format annos to 'lmdb' (optional)
   cd /path/to/mmocr
-  python tools/data/utils/lmdb_converter.py data/mixture/SynthAdd/label.txt data/mixture/SynthAdd/label.lmdb --label-only
+  python tools/dataset_converters/utils/txt2lmdb.py -i data/mixture/SynthAdd/label.txt -o data/mixture/SynthAdd/label.lmdb
   ```
 
 - After running the above codes, the directory structure
@@ -383,13 +383,13 @@ should be as follows:
 To convert label file from `txt` format to `lmdb` format,
 
 ```bash
-python tools/data/utils/lmdb_converter.py <txt_label_path> <lmdb_label_path> --label-only
+python tools/dataset_converters/utils/txt2lmdb.py -i <txt_label_path> -o <lmdb_label_path>
 ```
 
 For example,
 
 ```bash
-python tools/data/utils/lmdb_converter.py data/mixture/Syn90k/label.txt data/mixture/Syn90k/label.lmdb --label-only
+python tools/dataset_converters/utils/txt2lmdb.py -i data/mixture/Syn90k/label.txt -o data/mixture/Syn90k/label.lmdb
 ```
 
 ````
@@ -414,7 +414,7 @@ python tools/data/utils/lmdb_converter.py data/mixture/Syn90k/label.txt data/mix
 - Step2: Generate `train_label.txt`, `val_label.txt` and crop images using 4 processes with the following command:
 
   ```bash
-  python tools/data/textrecog/textocr_converter.py /path/to/textocr 4
+  python tools/dataset_converters/textrecog/textocr_converter.py /path/to/textocr 4
   ```
 
 - After running the above codes, the directory structure
@@ -455,7 +455,7 @@ should be as follows:
 - Step2: Generate cropped images, `train_label.txt` and `test_label.txt` with the following command (the cropped images will be saved to `data/totaltext/dst_imgs/`):
 
   ```bash
-  python tools/data/textrecog/totaltext_converter.py /path/to/totaltext
+  python tools/dataset_converters/textrecog/totaltext_converter.py /path/to/totaltext
   ```
 
 - After running the above codes, the directory structure should be as follows:
@@ -498,7 +498,7 @@ should be as follows:
 - Step3: Generate `train_{1,2,5,f}_label.txt`, `val_label.txt` and crop images using 4 processes with the following command:
 
   ```bash
-  python tools/data/textrecog/openvino_converter.py /path/to/openvino 4
+  python tools/dataset_converters/textrecog/openvino_converter.py /path/to/openvino 4
   ```
 
 - After running the above codes, the directory structure
@@ -544,7 +544,7 @@ should be as follows:
   ```bash
   # Add --preserve-vertical to preserve vertical texts for training, otherwise
   # vertical images will be filtered and stored in PATH/TO/detext/ignores
-  python tools/data/textrecog/detext_converter.py PATH/TO/detext --nproc 4
+  python tools/dataset_converters/textrecog/detext_converter.py PATH/TO/detext --nproc 4
   ```
 
 - After running the above codes, the directory structure should be as follows:
@@ -583,7 +583,7 @@ should be as follows:
   ```bash
   # Add --preserve-vertical to preserve vertical texts for training, otherwise
   # vertical images will be filtered and stored in PATH/TO/naf/ignores
-  python tools/data/textrecog/naf_converter.py PATH/TO/naf --nproc 4
+  python tools/dataset_converters/textrecog/naf_converter.py PATH/TO/naf --nproc 4
 
 - After running the above codes, the directory structure should be as follows:
 
@@ -622,7 +622,7 @@ should be as follows:
 - Step3: Generate `train_label.jsonl` and `test_label.jsonl` and crop images using 4 processes with the following command:
 
   ```bash
-  python tools/data/textrecog/sroie_converter.py PATH/TO/sroie --nproc 4
+  python tools/dataset_converters/textrecog/sroie_converter.py PATH/TO/sroie --nproc 4
   ```
 
 - After running the above codes, the directory structure should be as follows:
@@ -661,7 +661,7 @@ The LV dataset has already provided cropped images and the corresponding annotat
 - Step2: Generate `train_label.jsonl`, `val.jsonl`, and `test.jsonl` with following command:
 
   ```bash
-  python tools/data/textdreog/lv_converter.py PATH/TO/lv
+  python tools/dataset_converters/textdreog/lv_converter.py PATH/TO/lv
   ```
 
 - After running the above codes, the directory structure should be as follows:
@@ -700,7 +700,7 @@ The LV dataset has already provided cropped images and the corresponding annotat
   # set by adding --val-ratio 0.2
   # Add --preserve-vertical to preserve vertical texts for training, otherwise
   # vertical images will be filtered and stored in PATH/TO/lsvt/ignores
-  python tools/data/textdrecog/lsvt_converter.py PATH/TO/lsvt --nproc 4
+  python tools/dataset_converters/textdrecog/lsvt_converter.py PATH/TO/lsvt --nproc 4
   ```
 
 - After running the above codes, the directory structure should be as follows:
@@ -737,7 +737,7 @@ The LV dataset has already provided cropped images and the corresponding annotat
 - Step2: Generate `train_label.txt` and `test_label.txt` and crop images using 4 processes with following command (add `--preserve-vertical` if you wish to preserve the images containing vertical texts):
 
   ```bash
-  python tools/data/textrecog/funsd_converter.py PATH/TO/funsd --nproc 4
+  python tools/dataset_converters/textrecog/funsd_converter.py PATH/TO/funsd --nproc 4
   ```
 
 - After running the above codes, the directory structure
@@ -774,7 +774,7 @@ should be as follows:
 - Step2: Generate `train_label.txt`, `val_label.txt` and `test_label.txt` and crop images with the following command:
 
   ```bash
-  python tools/data/textrecog/imgur_converter.py PATH/TO/imgur
+  python tools/dataset_converters/textrecog/imgur_converter.py PATH/TO/imgur
   ```
 
 - After running the above codes, the directory structure should be as follows:
@@ -805,7 +805,7 @@ should be as follows:
 - Step2: Extract zips:
 
   ```bash
-  python tools/data/common/extract_kaist.py PATH/TO/kaist
+  python tools/dataset_converters/common/extract_kaist.py PATH/TO/kaist
   ```
 
 - Step3: Generate `train_label.jsonl` and `val_label.jsonl` (optional) with following command:
@@ -814,7 +814,7 @@ should be as follows:
   # Since KAIST does not provide an official split, you can split the dataset by adding --val-ratio 0.2
   # Add --preserve-vertical to preserve vertical texts for training, otherwise
   # vertical images will be filtered and stored in PATH/TO/kaist/ignores
-  python tools/data/textrecog/kaist_converter.py PATH/TO/kaist --nproc 4
+  python tools/dataset_converters/textrecog/kaist_converter.py PATH/TO/kaist --nproc 4
   ```
 
 - After running the above codes, the directory structure should be as follows:
@@ -847,7 +847,7 @@ should be as follows:
   # set by adding --val-ratio 0.2
   # Add --preserve-vertical to preserve vertical texts for training, otherwise
   # vertical images will be filtered and stored in PATH/TO/mtwi/ignores
-  python tools/data/textrecog/mtwi_converter.py PATH/TO/mtwi --nproc 4
+  python tools/dataset_converters/textrecog/mtwi_converter.py PATH/TO/mtwi --nproc 4
   ```
 
 - After running the above codes, the directory structure should be as follows:
@@ -882,7 +882,7 @@ should be as follows:
   ```bash
   # Add --preserve-vertical to preserve vertical texts for training, otherwise
   # vertical images will be filtered and stored in PATH/TO/mtwi/ignores
-  python tools/data/textrecog/cocotext_converter.py PATH/TO/coco_textv2 --nproc 4
+  python tools/dataset_converters/textrecog/cocotext_converter.py PATH/TO/coco_textv2 --nproc 4
   ```
 
 - After running the above codes, the directory structure should be as follows:
@@ -919,7 +919,7 @@ should be as follows:
   # set by adding --val-ratio 0.2
   # Add --preserve-vertical to preserve vertical texts for training, otherwise
   # vertical images will be filtered and stored in PATH/TO/rects/ignores
-  python tools/data/textrecog/rects_converter.py PATH/TO/rects --nproc 4
+  python tools/dataset_converters/textrecog/rects_converter.py PATH/TO/rects --nproc 4
   ```
 
 - After running the above codes, the directory structure should be as follows:
@@ -960,7 +960,7 @@ should be as follows:
 - Step3: Generate `train_label.jsonl` and `val_label.jsonl` (optional) and crop images using 4 processes with the following command (add `--preserve-vertical` if you wish to preserve the images containing vertical texts). Since the original dataset doesn't have a validation set, you may specify `--val-ratio` to split the dataset. E.g., if val-ratio is 0.2, then 20% of the data are left out as the validation set in this example.
 
   ```bash
-  python tools/data/textrecog/ilst_converter.py PATH/TO/IIIT-ILST --nproc 4
+  python tools/dataset_converters/textrecog/ilst_converter.py PATH/TO/IIIT-ILST --nproc 4
   ```
 
 - After running the above codes, the directory structure should be as follows:
@@ -997,7 +997,7 @@ should be as follows:
 - Step2: Generate `train_label.jsonl`, `test_label.jsonl`, `unseen_test_label.jsonl`,  and crop images using 4 processes with the following command (add `--preserve-vertical` if you wish to preserve the images containing vertical texts).
 
   ```bash
-  python tools/data/textrecog/vintext_converter.py PATH/TO/vietnamese --nproc 4
+  python tools/dataset_converters/textrecog/vintext_converter.py PATH/TO/vietnamese --nproc 4
   ```
 
 - After running the above codes, the directory structure should be as follows:
@@ -1048,7 +1048,7 @@ should be as follows:
 - Step3: Generate `train_label.jsonl` and `val_label.jsonl` (optional) and crop images using 4 processes with the following command (add `--preserve-vertical` if you wish to preserve the images containing vertical texts). Since the original dataset doesn't have a validation set, you may specify `--val-ratio` to split the dataset. E.g., if test-ratio is 0.2, then 20% of the data are left out as the validation set in this example.
 
   ```bash
-  python tools/data/textrecog/bid_converter.py dPATH/TO/BID --nproc 4
+  python tools/dataset_converters/textrecog/bid_converter.py dPATH/TO/BID --nproc 4
   ```
 
 - After running the above codes, the directory structure should be as follows:
@@ -1070,7 +1070,7 @@ should be as follows:
   ```bash
   # Annotations of RCTW test split is not publicly available, split a validation set by adding --val-ratio 0.2
   # Add --preserve-vertical to preserve vertical texts for training, otherwise vertical images will be filtered and stored in PATH/TO/rctw/ignores
-  python tools/data/textrecog/rctw_converter.py PATH/TO/rctw --nproc 4
+  python tools/dataset_converters/textrecog/rctw_converter.py PATH/TO/rctw --nproc 4
   ```
 
 - After running the above codes, the directory structure should be as follows:
@@ -1122,7 +1122,7 @@ should be as follows:
   ```bash
   # Collect word annotation from HierText  --level word
   # Add --preserve-vertical to preserve vertical texts for training, otherwise vertical images will be filtered and stored in PATH/TO/HierText/ignores
-  python tools/data/textrecog/hiertext_converter.py PATH/TO/HierText --level word --nproc 4
+  python tools/dataset_converters/textrecog/hiertext_converter.py PATH/TO/HierText --level word --nproc 4
   ```
 
 - After running the above codes, the directory structure should be as follows:
diff --git a/tools/analyze_logs.py b/tools/analysis_tools/analyze_logs.py
similarity index 100%
rename from tools/analyze_logs.py
rename to tools/analysis_tools/analyze_logs.py
diff --git a/tools/misc/browse_dataset.py b/tools/analysis_tools/browse_dataset.py
similarity index 100%
rename from tools/misc/browse_dataset.py
rename to tools/analysis_tools/browse_dataset.py
diff --git a/tools/misc/offline_eval.py b/tools/analysis_tools/offline_eval.py
similarity index 100%
rename from tools/misc/offline_eval.py
rename to tools/analysis_tools/offline_eval.py
diff --git a/tools/benchmark_processing.py b/tools/benchmark_processing.py
deleted file mode 100755
index 6d4e245b..00000000
--- a/tools/benchmark_processing.py
+++ /dev/null
@@ -1,58 +0,0 @@
-#!/usr/bin/env python
-# Copyright (c) OpenMMLab. All rights reserved.
-"""This file is for benchmark data loading process. It can also be used to
-refresh the memcached cache. The command line to run this file is:
-
-$ python -m cProfile -o program.prof tools/analysis/benchmark_processing.py
-configs/task/method/[config filename]
-
-Note: When debugging, the `workers_per_gpu` in the config should be set to 0
-during benchmark.
-
-It use cProfile to record cpu running time and output to program.prof
-To visualize cProfile output program.prof, use Snakeviz and run:
-$ snakeviz program.prof
-"""
-import argparse
-
-import mmcv
-from mmcv import Config
-from mmdet.datasets import build_dataloader
-
-from mmocr.registry import DATASETS
-
-
-def main():
-    parser = argparse.ArgumentParser(description='Benchmark data loading')
-    parser.add_argument('config', help='Train config file path.')
-    args = parser.parse_args()
-    cfg = Config.fromfile(args.config)
-
-    dataset = DATASETS.build(cfg.data.train)
-
-    # prepare data loaders
-    if 'imgs_per_gpu' in cfg.data:
-        cfg.data.samples_per_gpu = cfg.data.imgs_per_gpu
-
-    data_loader = build_dataloader(
-        dataset,
-        cfg.data.samples_per_gpu,
-        cfg.data.workers_per_gpu,
-        1,
-        dist=False,
-        seed=None)
-
-    # Start progress bar after first 5 batches
-    prog_bar = mmcv.ProgressBar(
-        len(dataset) - 5 * cfg.data.samples_per_gpu, start=False)
-    for i, data in enumerate(data_loader):
-        if i == 5:
-            prog_bar.start()
-        for _ in range(len(data['img'])):
-            if i < 5:
-                continue
-            prog_bar.update()
-
-
-if __name__ == '__main__':
-    main()
diff --git a/tools/data/common/curvedsyntext_converter.py b/tools/dataset_converters/common/curvedsyntext_converter.py
similarity index 100%
rename from tools/data/common/curvedsyntext_converter.py
rename to tools/dataset_converters/common/curvedsyntext_converter.py
diff --git a/tools/data/common/extract_kaist.py b/tools/dataset_converters/common/extract_kaist.py
similarity index 100%
rename from tools/data/common/extract_kaist.py
rename to tools/dataset_converters/common/extract_kaist.py
diff --git a/tools/data/common/labelme_converter.py b/tools/dataset_converters/common/labelme_converter.py
similarity index 100%
rename from tools/data/common/labelme_converter.py
rename to tools/dataset_converters/common/labelme_converter.py
diff --git a/tools/data/kie/closeset_to_openset.py b/tools/dataset_converters/kie/closeset_to_openset.py
similarity index 100%
rename from tools/data/kie/closeset_to_openset.py
rename to tools/dataset_converters/kie/closeset_to_openset.py
diff --git a/tools/data/textdet/art_converter.py b/tools/dataset_converters/textdet/art_converter.py
similarity index 100%
rename from tools/data/textdet/art_converter.py
rename to tools/dataset_converters/textdet/art_converter.py
diff --git a/tools/data/textdet/bid_converter.py b/tools/dataset_converters/textdet/bid_converter.py
similarity index 100%
rename from tools/data/textdet/bid_converter.py
rename to tools/dataset_converters/textdet/bid_converter.py
diff --git a/tools/data/textdet/coco_to_line_dict.py b/tools/dataset_converters/textdet/coco_to_line_dict.py
similarity index 100%
rename from tools/data/textdet/coco_to_line_dict.py
rename to tools/dataset_converters/textdet/coco_to_line_dict.py
diff --git a/tools/data/textdet/cocotext_converter.py b/tools/dataset_converters/textdet/cocotext_converter.py
similarity index 100%
rename from tools/data/textdet/cocotext_converter.py
rename to tools/dataset_converters/textdet/cocotext_converter.py
diff --git a/tools/data/textdet/ctw1500_converter.py b/tools/dataset_converters/textdet/ctw1500_converter.py
similarity index 100%
rename from tools/data/textdet/ctw1500_converter.py
rename to tools/dataset_converters/textdet/ctw1500_converter.py
diff --git a/tools/data/textdet/data_migrator.py b/tools/dataset_converters/textdet/data_migrator.py
similarity index 100%
rename from tools/data/textdet/data_migrator.py
rename to tools/dataset_converters/textdet/data_migrator.py
diff --git a/tools/data/textdet/detext_converter.py b/tools/dataset_converters/textdet/detext_converter.py
similarity index 100%
rename from tools/data/textdet/detext_converter.py
rename to tools/dataset_converters/textdet/detext_converter.py
diff --git a/tools/data/textdet/funsd_converter.py b/tools/dataset_converters/textdet/funsd_converter.py
similarity index 100%
rename from tools/data/textdet/funsd_converter.py
rename to tools/dataset_converters/textdet/funsd_converter.py
diff --git a/tools/data/textdet/hiertext_converter.py b/tools/dataset_converters/textdet/hiertext_converter.py
similarity index 100%
rename from tools/data/textdet/hiertext_converter.py
rename to tools/dataset_converters/textdet/hiertext_converter.py
diff --git a/tools/data/textdet/ic11_converter.py b/tools/dataset_converters/textdet/ic11_converter.py
similarity index 100%
rename from tools/data/textdet/ic11_converter.py
rename to tools/dataset_converters/textdet/ic11_converter.py
diff --git a/tools/data/textdet/ic13_converter.py b/tools/dataset_converters/textdet/ic13_converter.py
similarity index 100%
rename from tools/data/textdet/ic13_converter.py
rename to tools/dataset_converters/textdet/ic13_converter.py
diff --git a/tools/data/textdet/icdar_converter.py b/tools/dataset_converters/textdet/icdar_converter.py
similarity index 100%
rename from tools/data/textdet/icdar_converter.py
rename to tools/dataset_converters/textdet/icdar_converter.py
diff --git a/tools/data/textdet/ilst_converter.py b/tools/dataset_converters/textdet/ilst_converter.py
similarity index 100%
rename from tools/data/textdet/ilst_converter.py
rename to tools/dataset_converters/textdet/ilst_converter.py
diff --git a/tools/data/textdet/imgur_converter.py b/tools/dataset_converters/textdet/imgur_converter.py
similarity index 100%
rename from tools/data/textdet/imgur_converter.py
rename to tools/dataset_converters/textdet/imgur_converter.py
diff --git a/tools/data/textdet/kaist_converter.py b/tools/dataset_converters/textdet/kaist_converter.py
similarity index 100%
rename from tools/data/textdet/kaist_converter.py
rename to tools/dataset_converters/textdet/kaist_converter.py
diff --git a/tools/data/textdet/lsvt_converter.py b/tools/dataset_converters/textdet/lsvt_converter.py
similarity index 100%
rename from tools/data/textdet/lsvt_converter.py
rename to tools/dataset_converters/textdet/lsvt_converter.py
diff --git a/tools/data/textdet/lv_converter.py b/tools/dataset_converters/textdet/lv_converter.py
similarity index 100%
rename from tools/data/textdet/lv_converter.py
rename to tools/dataset_converters/textdet/lv_converter.py
diff --git a/tools/data/textdet/mtwi_converter.py b/tools/dataset_converters/textdet/mtwi_converter.py
similarity index 100%
rename from tools/data/textdet/mtwi_converter.py
rename to tools/dataset_converters/textdet/mtwi_converter.py
diff --git a/tools/data/textdet/naf_converter.py b/tools/dataset_converters/textdet/naf_converter.py
similarity index 100%
rename from tools/data/textdet/naf_converter.py
rename to tools/dataset_converters/textdet/naf_converter.py
diff --git a/tools/data/textdet/rctw_converter.py b/tools/dataset_converters/textdet/rctw_converter.py
similarity index 100%
rename from tools/data/textdet/rctw_converter.py
rename to tools/dataset_converters/textdet/rctw_converter.py
diff --git a/tools/data/textdet/rects_converter.py b/tools/dataset_converters/textdet/rects_converter.py
similarity index 100%
rename from tools/data/textdet/rects_converter.py
rename to tools/dataset_converters/textdet/rects_converter.py
diff --git a/tools/data/textdet/sroie_converter.py b/tools/dataset_converters/textdet/sroie_converter.py
similarity index 100%
rename from tools/data/textdet/sroie_converter.py
rename to tools/dataset_converters/textdet/sroie_converter.py
diff --git a/tools/data/textdet/synthtext_converter.py b/tools/dataset_converters/textdet/synthtext_converter.py
similarity index 100%
rename from tools/data/textdet/synthtext_converter.py
rename to tools/dataset_converters/textdet/synthtext_converter.py
diff --git a/tools/data/textdet/textocr_converter.py b/tools/dataset_converters/textdet/textocr_converter.py
similarity index 100%
rename from tools/data/textdet/textocr_converter.py
rename to tools/dataset_converters/textdet/textocr_converter.py
diff --git a/tools/data/textdet/totaltext_converter.py b/tools/dataset_converters/textdet/totaltext_converter.py
similarity index 100%
rename from tools/data/textdet/totaltext_converter.py
rename to tools/dataset_converters/textdet/totaltext_converter.py
diff --git a/tools/data/textdet/vintext_converter.py b/tools/dataset_converters/textdet/vintext_converter.py
similarity index 100%
rename from tools/data/textdet/vintext_converter.py
rename to tools/dataset_converters/textdet/vintext_converter.py
diff --git a/tools/data/textrecog/art_converter.py b/tools/dataset_converters/textrecog/art_converter.py
similarity index 100%
rename from tools/data/textrecog/art_converter.py
rename to tools/dataset_converters/textrecog/art_converter.py
diff --git a/tools/data/textrecog/bid_converter.py b/tools/dataset_converters/textrecog/bid_converter.py
similarity index 100%
rename from tools/data/textrecog/bid_converter.py
rename to tools/dataset_converters/textrecog/bid_converter.py
diff --git a/tools/data/textrecog/cocotext_converter.py b/tools/dataset_converters/textrecog/cocotext_converter.py
similarity index 100%
rename from tools/data/textrecog/cocotext_converter.py
rename to tools/dataset_converters/textrecog/cocotext_converter.py
diff --git a/tools/data/textrecog/data_migrator.py b/tools/dataset_converters/textrecog/data_migrator.py
similarity index 100%
rename from tools/data/textrecog/data_migrator.py
rename to tools/dataset_converters/textrecog/data_migrator.py
diff --git a/tools/data/textrecog/detext_converter.py b/tools/dataset_converters/textrecog/detext_converter.py
similarity index 100%
rename from tools/data/textrecog/detext_converter.py
rename to tools/dataset_converters/textrecog/detext_converter.py
diff --git a/tools/data/textrecog/funsd_converter.py b/tools/dataset_converters/textrecog/funsd_converter.py
similarity index 100%
rename from tools/data/textrecog/funsd_converter.py
rename to tools/dataset_converters/textrecog/funsd_converter.py
diff --git a/tools/data/textrecog/hiertext_converter.py b/tools/dataset_converters/textrecog/hiertext_converter.py
similarity index 100%
rename from tools/data/textrecog/hiertext_converter.py
rename to tools/dataset_converters/textrecog/hiertext_converter.py
diff --git a/tools/data/textrecog/ic11_converter.py b/tools/dataset_converters/textrecog/ic11_converter.py
similarity index 100%
rename from tools/data/textrecog/ic11_converter.py
rename to tools/dataset_converters/textrecog/ic11_converter.py
diff --git a/tools/data/textrecog/ic13_converter.py b/tools/dataset_converters/textrecog/ic13_converter.py
similarity index 100%
rename from tools/data/textrecog/ic13_converter.py
rename to tools/dataset_converters/textrecog/ic13_converter.py
diff --git a/tools/data/textrecog/ilst_converter.py b/tools/dataset_converters/textrecog/ilst_converter.py
similarity index 100%
rename from tools/data/textrecog/ilst_converter.py
rename to tools/dataset_converters/textrecog/ilst_converter.py
diff --git a/tools/data/textrecog/imgur_converter.py b/tools/dataset_converters/textrecog/imgur_converter.py
similarity index 100%
rename from tools/data/textrecog/imgur_converter.py
rename to tools/dataset_converters/textrecog/imgur_converter.py
diff --git a/tools/data/textrecog/kaist_converter.py b/tools/dataset_converters/textrecog/kaist_converter.py
similarity index 100%
rename from tools/data/textrecog/kaist_converter.py
rename to tools/dataset_converters/textrecog/kaist_converter.py
diff --git a/tools/data/utils/lmdb_converter.py b/tools/dataset_converters/textrecog/lmdb_converter.py
similarity index 100%
rename from tools/data/utils/lmdb_converter.py
rename to tools/dataset_converters/textrecog/lmdb_converter.py
diff --git a/tools/data/textrecog/lsvt_converter.py b/tools/dataset_converters/textrecog/lsvt_converter.py
similarity index 100%
rename from tools/data/textrecog/lsvt_converter.py
rename to tools/dataset_converters/textrecog/lsvt_converter.py
diff --git a/tools/data/textrecog/lv_converter.py b/tools/dataset_converters/textrecog/lv_converter.py
similarity index 100%
rename from tools/data/textrecog/lv_converter.py
rename to tools/dataset_converters/textrecog/lv_converter.py
diff --git a/tools/data/textrecog/mtwi_converter.py b/tools/dataset_converters/textrecog/mtwi_converter.py
similarity index 100%
rename from tools/data/textrecog/mtwi_converter.py
rename to tools/dataset_converters/textrecog/mtwi_converter.py
diff --git a/tools/data/textrecog/naf_converter.py b/tools/dataset_converters/textrecog/naf_converter.py
similarity index 100%
rename from tools/data/textrecog/naf_converter.py
rename to tools/dataset_converters/textrecog/naf_converter.py
diff --git a/tools/data/textrecog/openvino_converter.py b/tools/dataset_converters/textrecog/openvino_converter.py
similarity index 100%
rename from tools/data/textrecog/openvino_converter.py
rename to tools/dataset_converters/textrecog/openvino_converter.py
diff --git a/tools/data/textrecog/rctw_converter.py b/tools/dataset_converters/textrecog/rctw_converter.py
similarity index 100%
rename from tools/data/textrecog/rctw_converter.py
rename to tools/dataset_converters/textrecog/rctw_converter.py
diff --git a/tools/data/textrecog/rects_converter.py b/tools/dataset_converters/textrecog/rects_converter.py
similarity index 100%
rename from tools/data/textrecog/rects_converter.py
rename to tools/dataset_converters/textrecog/rects_converter.py
diff --git a/tools/data/textrecog/seg_synthtext_converter.py b/tools/dataset_converters/textrecog/seg_synthtext_converter.py
similarity index 100%
rename from tools/data/textrecog/seg_synthtext_converter.py
rename to tools/dataset_converters/textrecog/seg_synthtext_converter.py
diff --git a/tools/data/textrecog/sroie_converter.py b/tools/dataset_converters/textrecog/sroie_converter.py
similarity index 100%
rename from tools/data/textrecog/sroie_converter.py
rename to tools/dataset_converters/textrecog/sroie_converter.py
diff --git a/tools/data/textrecog/svt_converter.py b/tools/dataset_converters/textrecog/svt_converter.py
similarity index 100%
rename from tools/data/textrecog/svt_converter.py
rename to tools/dataset_converters/textrecog/svt_converter.py
diff --git a/tools/data/textrecog/synthtext_converter.py b/tools/dataset_converters/textrecog/synthtext_converter.py
similarity index 100%
rename from tools/data/textrecog/synthtext_converter.py
rename to tools/dataset_converters/textrecog/synthtext_converter.py
diff --git a/tools/data/textrecog/textocr_converter.py b/tools/dataset_converters/textrecog/textocr_converter.py
similarity index 100%
rename from tools/data/textrecog/textocr_converter.py
rename to tools/dataset_converters/textrecog/textocr_converter.py
diff --git a/tools/data/textrecog/totaltext_converter.py b/tools/dataset_converters/textrecog/totaltext_converter.py
similarity index 100%
rename from tools/data/textrecog/totaltext_converter.py
rename to tools/dataset_converters/textrecog/totaltext_converter.py
diff --git a/tools/data/textrecog/vintext_converter.py b/tools/dataset_converters/textrecog/vintext_converter.py
similarity index 100%
rename from tools/data/textrecog/vintext_converter.py
rename to tools/dataset_converters/textrecog/vintext_converter.py
diff --git a/tools/det_test_imgs.py b/tools/det_test_imgs.py
deleted file mode 100755
index 75ddf298..00000000
--- a/tools/det_test_imgs.py
+++ /dev/null
@@ -1,111 +0,0 @@
-#!/usr/bin/env python
-# Copyright (c) OpenMMLab. All rights reserved.
-import os.path as osp
-from argparse import ArgumentParser
-
-import mmcv
-from mmcv.utils import ProgressBar
-
-from mmocr.apis import init_detector, model_inference
-from mmocr.models import build_detector  # noqa: F401
-from mmocr.utils import list_from_file, list_to_file
-
-
-def gen_target_path(target_root_path, src_name, suffix):
-    """Gen target file path.
-
-    Args:
-        target_root_path (str): The target root path.
-        src_name (str): The source file name.
-        suffix (str): The suffix of target file.
-    """
-    assert isinstance(target_root_path, str)
-    assert isinstance(src_name, str)
-    assert isinstance(suffix, str)
-
-    file_name = osp.split(src_name)[-1]
-    name = osp.splitext(file_name)[0]
-    return osp.join(target_root_path, name + suffix)
-
-
-def save_results(result, out_dir, img_name, score_thr=0.3):
-    """Save result of detected bounding boxes (quadrangle or polygon) to txt
-    file.
-
-    Args:
-        result (dict): Text Detection result for one image.
-        img_name (str): Image file name.
-        out_dir (str): Dir of txt files to save detected results.
-        score_thr (float, optional): Score threshold to filter bboxes.
-    """
-    assert 'boundary_result' in result
-    assert score_thr > 0 and score_thr < 1
-
-    txt_file = gen_target_path(out_dir, img_name, '.txt')
-    valid_boundary_res = [
-        res for res in result['boundary_result'] if res[-1] > score_thr
-    ]
-    lines = [
-        ','.join([str(round(x)) for x in row]) for row in valid_boundary_res
-    ]
-    list_to_file(txt_file, lines)
-
-
-def main():
-    parser = ArgumentParser()
-    parser.add_argument('img_root', type=str, help='Image root path')
-    parser.add_argument('img_list', type=str, help='Image path list file')
-    parser.add_argument('config', type=str, help='Config file')
-    parser.add_argument('checkpoint', type=str, help='Checkpoint file')
-    parser.add_argument(
-        '--score-thr', type=float, default=0.5, help='Bbox score threshold')
-    parser.add_argument(
-        '--out-dir',
-        type=str,
-        default='./results',
-        help='Dir to save '
-        'visualize images '
-        'and bbox')
-    parser.add_argument(
-        '--device', default='cuda:0', help='Device used for inference.')
-    args = parser.parse_args()
-
-    assert 0 < args.score_thr < 1
-
-    # build the model from a config file and a checkpoint file
-    model = init_detector(args.config, args.checkpoint, device=args.device)
-    if hasattr(model, 'module'):
-        model = model.module
-
-    # Start Inference
-    out_vis_dir = osp.join(args.out_dir, 'out_vis_dir')
-    mmcv.mkdir_or_exist(out_vis_dir)
-    out_txt_dir = osp.join(args.out_dir, 'out_txt_dir')
-    mmcv.mkdir_or_exist(out_txt_dir)
-
-    lines = list_from_file(args.img_list)
-    progressbar = ProgressBar(task_num=len(lines))
-    for line in lines:
-        progressbar.update()
-        img_path = osp.join(args.img_root, line.strip())
-        if not osp.exists(img_path):
-            raise FileNotFoundError(img_path)
-        # Test a single image
-        result = model_inference(model, img_path)
-        img_name = osp.basename(img_path)
-        # save result
-        save_results(result, out_txt_dir, img_name, score_thr=args.score_thr)
-        # show result
-        out_file = osp.join(out_vis_dir, img_name)
-        kwargs_dict = {
-            'score_thr': args.score_thr,
-            'show': False,
-            'out_file': out_file
-        }
-        model.show_result(img_path, result, **kwargs_dict)
-
-    print(f'\nInference done, and results saved in {args.out_dir}\n')
-
-
-if __name__ == '__main__':
-    main()
diff --git a/tools/kie_test_imgs.py b/tools/kie_test_imgs.py
deleted file mode 100755
index acb0c7c8..00000000
--- a/tools/kie_test_imgs.py
+++ /dev/null
@@ -1,162 +0,0 @@
-#!/usr/bin/env python
-# Copyright (c) OpenMMLab. All rights reserved.
-import argparse
-import ast
-import os
-import os.path as osp
-
-import mmcv
-import numpy as np
-import torch
-from mmcv import Config
-from mmcv.image import tensor2imgs
-from mmcv.parallel import MMDataParallel
-from mmcv.runner import load_checkpoint
-
-from mmocr.datasets import build_dataloader
-from mmocr.models import build_detector
-from mmocr.registry import DATASETS
-
-
-def save_results(model, img_meta, gt_bboxes, result, out_dir):
-    assert 'filename' in img_meta, ('Please add "filename" '
-                                    'to "meta_keys" in config.')
-    assert 'ori_texts' in img_meta, ('Please add "ori_texts" '
-                                     'to "meta_keys" in config.')
-
-    out_json_file = osp.join(out_dir,
-                             osp.basename(img_meta['filename']) + '.json')
-
-    idx_to_cls = {}
-    if model.module.class_list is not None:
-        for line in mmcv.list_from_file(model.module.class_list):
-            class_idx, class_label = line.strip().split()
-            idx_to_cls[int(class_idx)] = class_label
-
-    json_result = [{
-        'text':
-        text,
-        'box':
-        box,
-        'pred':
-        idx_to_cls.get(
-            pred.argmax(-1).cpu().item(),
-            pred.argmax(-1).cpu().item()),
-        'conf':
-        pred.max(-1)[0].cpu().item()
-    } for text, box, pred in zip(img_meta['ori_texts'], gt_bboxes,
-                                 result['nodes'])]
-
-    mmcv.dump(json_result, out_json_file)
-
-
-def test(model, data_loader, show=False, out_dir=None):
-    model.eval()
-    results = []
-    dataset = data_loader.dataset
-    prog_bar = mmcv.ProgressBar(len(dataset))
-    for i, data in enumerate(data_loader):
-        with torch.no_grad():
-            result = model(return_loss=False, rescale=True, **data)
-
-        batch_size = len(result)
-        if show or out_dir:
-            img_tensor = data['img'].data[0]
-            img_metas = data['img_metas'].data[0]
-            if np.prod(img_tensor.shape) == 0:
-                imgs = [mmcv.imread(m['filename']) for m in img_metas]
-            else:
-                imgs = tensor2imgs(img_tensor, **img_metas[0]['img_norm_cfg'])
-            assert len(imgs) == len(img_metas)
-            gt_bboxes = [data['gt_bboxes'].data[0][0].numpy().tolist()]
-
-            for i, (img, img_meta) in enumerate(zip(imgs, img_metas)):
-                if 'img_shape' in img_meta:
-                    h, w, _ = img_meta['img_shape']
-                    img_show = img[:h, :w, :]
-                else:
-                    img_show = img
-
-                if out_dir:
-                    out_file = osp.join(out_dir,
-                                        osp.basename(img_meta['filename']))
-                else:
-                    out_file = None
-
-                model.module.show_result(
-                    img_show,
-                    result[i],
-                    gt_bboxes[i],
-                    show=show,
-                    out_file=out_file)
-
-                if out_dir:
-                    save_results(model, img_meta, gt_bboxes[i], result[i],
-                                 out_dir)
-
-        for _ in range(batch_size):
-            prog_bar.update()
-    return results
-
-
-def parse_args():
-    parser = argparse.ArgumentParser(
-        description='MMOCR visualize for kie model.')
-    parser.add_argument('config', help='Test config file path.')
-    parser.add_argument('checkpoint', help='Checkpoint file.')
-    parser.add_argument('--show', action='store_true', help='Show results.')
-    parser.add_argument(
-        '--out-dir',
-        help='Directory where the output images and results will be saved.')
-    parser.add_argument('--local_rank', type=int, default=0)
-    parser.add_argument(
-        '--device',
-        help='Use int or int list for gpu. Default is cpu',
-        default=None)
-    args = parser.parse_args()
-    if 'LOCAL_RANK' not in os.environ:
-        os.environ['LOCAL_RANK'] = str(args.local_rank)
-
-    return args
-
-
-def main():
-    args = parse_args()
-    assert args.show or args.out_dir, ('Please specify at least one '
-                                       'operation (show the results / save )'
-                                       'the results with the argument '
-                                       '"--show" or "--out-dir".')
-    device = args.device
-    if device is not None:
-        device = ast.literal_eval(f'[{device}]')
-    cfg = Config.fromfile(args.config)
-    # import modules from string list.
-    if cfg.get('custom_imports', None):
-        from mmcv.utils import import_modules_from_strings
-        import_modules_from_strings(**cfg['custom_imports'])
-    # set cudnn_benchmark
-    if cfg.get('cudnn_benchmark', False):
-        torch.backends.cudnn.benchmark = True
-
-    distributed = False
-
-    # build the dataloader
-    dataset = DATASETS.build(cfg.data.test)
-    data_loader = build_dataloader(
-        dataset,
-        samples_per_gpu=1,
-        workers_per_gpu=cfg.data.workers_per_gpu,
-        dist=distributed,
-        shuffle=False)
-
-    # build the model and load checkpoint
-    cfg.model.train_cfg = None
-    model = build_detector(cfg.model, test_cfg=cfg.get('test_cfg'))
-    load_checkpoint(model, args.checkpoint, map_location='cpu')
-
-    model = MMDataParallel(model, device_ids=device)
-    test(model, data_loader, args.show, args.out_dir)
-
-
-if __name__ == '__main__':
-    main()
diff --git a/tools/misc/print_config.py b/tools/misc/print_config.py
deleted file mode 100644
index e44cda06..00000000
--- a/tools/misc/print_config.py
+++ /dev/null
@@ -1,55 +0,0 @@
-# Copyright (c) OpenMMLab. All rights reserved.
-import argparse
-import warnings
-
-from mmcv import Config, DictAction
-
-
-def parse_args():
-    parser = argparse.ArgumentParser(description='Print the whole config')
-    parser.add_argument('config', help='config file path')
-    parser.add_argument(
-        '--options',
-        nargs='+',
-        action=DictAction,
-        help='override some settings in the used config, the key-value pair '
-        'in xxx=yyy format will be merged into config file (deprecate), '
-        'change to --cfg-options instead.')
-    parser.add_argument(
-        '--cfg-options',
-        nargs='+',
-        action=DictAction,
-        help='override some settings in the used config, the key-value pair '
-        'in xxx=yyy format will be merged into config file. If the value to '
-        'be overwritten is a list, it should be like key="[a,b]" or key=a,b '
-        'It also allows nested list/tuple values, e.g. key="[(a,b),(c,d)]" '
-        'Note that the quotation marks are necessary and that no white space '
-        'is allowed.')
-    args = parser.parse_args()
-
-    if args.options and args.cfg_options:
-        raise ValueError(
-            '--options and --cfg-options cannot be both '
-            'specified, --options is deprecated in favor of --cfg-options')
-    if args.options:
-        warnings.warn('--options is deprecated in favor of --cfg-options')
-        args.cfg_options = args.options
-
-    return args
-
-
-def main():
-    args = parse_args()
-
-    cfg = Config.fromfile(args.config)
-    if args.cfg_options is not None:
-        cfg.merge_from_dict(args.cfg_options)
-    # import modules from string list.
-    if cfg.get('custom_imports', None):
-        from mmcv.utils import import_modules_from_strings
-        import_modules_from_strings(**cfg['custom_imports'])
-    print(f'Config:\n{cfg.pretty_text}')
-
-
-if __name__ == '__main__':
-    main()
diff --git a/tools/publish_model.py b/tools/model_converters/publish_model.py
similarity index 100%
rename from tools/publish_model.py
rename to tools/model_converters/publish_model.py
diff --git a/tools/recog_test_imgs.py b/tools/recog_test_imgs.py
deleted file mode 100755
index c44c2193..00000000
--- a/tools/recog_test_imgs.py
+++ /dev/null
@@ -1,125 +0,0 @@
-#!/usr/bin/env python
-# Copyright (c) OpenMMLab. All rights reserved.
-import os.path as osp
-import shutil
-import time
-from argparse import ArgumentParser
-from itertools import compress
-
-import mmcv
-from mmcv.utils import ProgressBar
-
-from mmocr.apis import init_detector, model_inference
-from mmocr.core.evaluation.ocr_metric import eval_ocr_metric
-from mmocr.models import build_detector  # noqa: F401
-from mmocr.registry import DATASETS  # noqa: F401
-from mmocr.utils import get_root_logger, list_from_file, list_to_file
-
-
-def save_results(img_paths, pred_labels, gt_labels, res_dir):
-    """Save predicted results to txt file.
-
-    Args:
-        img_paths (list[str])
-        pred_labels (list[str])
-        gt_labels (list[str])
-        res_dir (str)
-    """
-    assert len(img_paths) == len(pred_labels) == len(gt_labels)
-    corrects = [pred == gt for pred, gt in zip(pred_labels, gt_labels)]
-    wrongs = [not c for c in corrects]
-    lines = [
-        f'{img} {pred} {gt}'
-        for img, pred, gt in zip(img_paths, pred_labels, gt_labels)
-    ]
-    list_to_file(osp.join(res_dir, 'results.txt'), lines)
-    list_to_file(osp.join(res_dir, 'correct.txt'), compress(lines, corrects))
-    list_to_file(osp.join(res_dir, 'wrong.txt'), compress(lines, wrongs))
-
-
-def main():
-    parser = ArgumentParser()
-    parser.add_argument('img_root_path', type=str, help='Image root path')
-    parser.add_argument('img_list', type=str, help='Image path list file')
-    parser.add_argument('config', type=str, help='Config file')
-    parser.add_argument('checkpoint', type=str, help='Checkpoint file')
-    parser.add_argument(
-        '--out-dir', type=str, default='./results', help='Dir to save results')
-    parser.add_argument(
-        '--show', action='store_true', help='show image or save')
-    parser.add_argument(
-        '--device', default='cuda:0', help='Device used for inference.')
-    args = parser.parse_args()
-
-    # init the logger before other steps
-    timestamp = time.strftime('%Y%m%d_%H%M%S', time.localtime())
-    log_file = osp.join(args.out_dir, f'{timestamp}.log')
-    logger = get_root_logger(log_file=log_file, log_level='INFO')
-
-    # build the model from a config file and a checkpoint file
-    model = init_detector(args.config, args.checkpoint, device=args.device)
-    if hasattr(model, 'module'):
-        model = model.module
-
-    # Start Inference
-    out_vis_dir = osp.join(args.out_dir, 'out_vis_dir')
-    mmcv.mkdir_or_exist(out_vis_dir)
-    correct_vis_dir = osp.join(args.out_dir, 'correct')
-    mmcv.mkdir_or_exist(correct_vis_dir)
-    wrong_vis_dir = osp.join(args.out_dir, 'wrong')
-    mmcv.mkdir_or_exist(wrong_vis_dir)
-    img_paths, pred_labels, gt_labels = [], [], []
-
-    lines = list_from_file(args.img_list)
-    progressbar = ProgressBar(task_num=len(lines))
-    num_gt_label = 0
-    for line in lines:
-        progressbar.update()
-        item_list = line.strip().split()
-        img_file = item_list[0]
-        gt_label = ''
-        if len(item_list) >= 2:
-            gt_label = item_list[1]
-            num_gt_label += 1
-        img_path = osp.join(args.img_root_path, img_file)
-        if not osp.exists(img_path):
-            raise FileNotFoundError(img_path)
-        # Test a single image
-        result = model_inference(model, img_path)
-        pred_label = result['text']
-
-        out_img_name = '_'.join(img_file.split('/'))
-        out_file = osp.join(out_vis_dir, out_img_name)
-        kwargs_dict = {
-            'gt_label': gt_label,
-            'show': args.show,
-            'out_file': '' if args.show else out_file
-        }
-        model.show_result(img_path, result, **kwargs_dict)
-        if gt_label != '':
-            if gt_label == pred_label:
-                dst_file = osp.join(correct_vis_dir, out_img_name)
-            else:
-                dst_file = osp.join(wrong_vis_dir, out_img_name)
-            shutil.copy(out_file, dst_file)
-        img_paths.append(img_path)
-        gt_labels.append(gt_label)
-        pred_labels.append(pred_label)
-
-    # Save results
-    save_results(img_paths, pred_labels, gt_labels, args.out_dir)
-
-    if num_gt_label == len(pred_labels):
-        # eval
-        eval_results = eval_ocr_metric(pred_labels, gt_labels)
-        logger.info('\n' + '-' * 100)
-        info = ('eval on testset with img_root_path '
-                f'{args.img_root_path} and img_list {args.img_list}\n')
-        logger.info(info)
-        logger.info(eval_results)
-
-    print(f'\nInference done, and results saved in {args.out_dir}\n')
-
-
-if __name__ == '__main__':
-    main()