diff --git a/codes/Models/PhoBERT_HOS.ipynb b/codes/Models/PhoBERT_HOS.ipynb
index 8c3d962..6a94a52 100644
--- a/codes/Models/PhoBERT_HOS.ipynb
+++ b/codes/Models/PhoBERT_HOS.ipynb
@@ -76,8 +76,8 @@
       "source": [
         "# Efficiently load training, dev, and test data sets for train and optimal model evaluation\n",
         "\n",
-        "train = pd.read_csv('data/Sequence labeling-based version/Word/train_BIO_Word.csv')\n",
-        "dev = pd.read_csv('data/Sequence labeling-based version/Word/dev_BIO_Word.csv')\n",
+        "train = pd.read_csv('data/Sequence_labeling_based_version/Word/train_BIO_Word.csv')\n",
+        "dev = pd.read_csv('data/Sequence_labeling_based_version/Word/dev_BIO_Word.csv')\n",
         "test = pd.read_csv('data/Span Extraction-based version/test.csv')\n",
         "\n",
         "# Delete redundant column\n",
diff --git a/codes/Models/XLMR_HOS.ipynb b/codes/Models/XLMR_HOS.ipynb
index 81e3634..9e8dd35 100644
--- a/codes/Models/XLMR_HOS.ipynb
+++ b/codes/Models/XLMR_HOS.ipynb
@@ -74,8 +74,8 @@
       "source": [
         "# Efficiently load training, dev, and test data sets for train and optimal model evaluation\n",
         "\n",
-        "train = pd.read_csv('data/Sequence labeling-based version/Syllable/train_BIO_syllabel.csv')\n",
-        "dev = pd.read_csv('data/Sequence labeling-based version/Syllable/dev_BIO_syllabel.csv')\n",
+        "train = pd.read_csv('data/Span_Extraction_based_version/Syllable/train_BIO_syllable.csv')\n",
+        "dev = pd.read_csv('data/Span_Extraction_based_version/Syllable/dev_BIO_syllable.csv')\n",
         "test = pd.read_csv('data/Span Extraction-based version/test.csv')\n",
         "\n",
         "# Delete redundant column\n",
diff --git a/data/README.md b/data/README.md
new file mode 100644
index 0000000..02e6a0b
--- /dev/null
+++ b/data/README.md
@@ -0,0 +1,48 @@
+Here is our data folder structure!
+```
+.
+└── data/
+    ├── Sequence labeling-based version/
+    │   ├── Syllable/
+    │   │   ├── dev_BIO_syllable.csv
+    │   │   ├── test_BIO_syllable.csv
+    │   │   └── train_BIO_syllable.csv
+    │   └── Word/
+    │       ├── dev_BIO_Word.csv
+    │       ├── test_BIO_Word.csv
+    │       └── train_BIO_Word.csv
+    ├── Span Extraction-based version/
+    │   ├── dev.csv
+    │   └── train.csv
+    └── Test_data/
+        └── test.csv
+```
+# Sequence labeling-based version
+## Syllable
+Description: 
+- This folder contains the data for the sequence labeling-based version of the task. The data is divided into two files: train, and dev. Each file contains the following columns:
+  - **index**: The id of the word.
+  - **word**: Words in the sentence after the processing of tokenization using [VnCoreNLP](https://github.com/vncorenlp/VnCoreNLP) tokenizer followed by underscore tokenization.
+  The reason for this is that some words are in bad format:
+  e.g. "điện.thoại của tôi" is split into ["điện.thoại", "của", "tôi"] instead of ["điện", "thoại", "của", "tôi"] if we use space tokenization, which is not in the right format of Syllable.
+  As that, we used VnCoreNLP to tokenize first and then split words into tokens.
+  e.g. "điện.thoại của tôi" ---(VnCoreNLP)---> ["điện_thoại", "của", "tôi"] ---(split by "_")---> ["điện", "thoại", "của", "tôi"].
+  - **tag**: The tag of the word. The tag is either B-T (beginning of a word), I-T (inside of a word), or O (outside of a word).
+- The train_BIO_syllable and dev_BIO_syllable file are used for training and validation for XLMR model, respectively.
+- The test_BIO_syllable file is used for reference only. It is not used for testing the model. **Please use the test.csv file in the Testdata folder for testing the model.**
+## Word
+Description: 
+- This folder contains the data for the sequence labeling-based version of the task. The data is divided into two files: train, and dev. Each file contains the following columns:
+  - **index**: The id of the word.
+  - **word**: Words in the sentence after the processing of tokenization using [VnCoreNLP](https://github.com/vncorenlp/VnCoreNLP) tokenizer
+  - **tag**: The tag of the word. The tag is either B-T (beginning of a word), I-T (inside of a word), or O (outside of a word).
+- The train_BIO_Word and dev_BIO_Word file are used for training and validation for PhoBERT model, respectively.
+- The test_BIO_Word file is used for reference only. It is not used for testing the model. **Please use the test.csv file in the Testdata folder for testing the model.**
+
+# Span Extraction-based version
+Description:
+- This folder contains the data for the span extraction-based version of the task. The data is divided into two files: train and dev. Each file contains the following columns:
+  - **content**: The content of the sentence.
+  - **index_spans**: The index of the hate and offensive spans in the sentence. The index is in the format of [start, end] where start is the index of the first character of the hate and offensive span and end is the index of the last character of the hate and offensive span.
+- The train and dev file are used for training and validation for BiLSTM-CRF model, respectively.
+  
\ No newline at end of file
diff --git a/data/Sequence labeling-based version/Syllable/dev_BIO_syllabel.csv b/data/Sequence_labeling_based_version/Syllable/dev_BIO_syllable.csv
similarity index 100%
rename from data/Sequence labeling-based version/Syllable/dev_BIO_syllabel.csv
rename to data/Sequence_labeling_based_version/Syllable/dev_BIO_syllable.csv
diff --git a/data/Sequence labeling-based version/Syllable/test_BIO_syllabel.csv b/data/Sequence_labeling_based_version/Syllable/test_BIO_syllable.csv
similarity index 100%
rename from data/Sequence labeling-based version/Syllable/test_BIO_syllabel.csv
rename to data/Sequence_labeling_based_version/Syllable/test_BIO_syllable.csv
diff --git a/data/Sequence labeling-based version/Syllable/train_BIO_syllabel.csv b/data/Sequence_labeling_based_version/Syllable/train_BIO_syllable.csv
similarity index 100%
rename from data/Sequence labeling-based version/Syllable/train_BIO_syllabel.csv
rename to data/Sequence_labeling_based_version/Syllable/train_BIO_syllable.csv
diff --git a/data/Sequence labeling-based version/Word/dev_BIO_Word.csv b/data/Sequence_labeling_based_version/Word/dev_BIO_Word.csv
similarity index 100%
rename from data/Sequence labeling-based version/Word/dev_BIO_Word.csv
rename to data/Sequence_labeling_based_version/Word/dev_BIO_Word.csv
diff --git a/data/Sequence labeling-based version/Word/test_BIO_Word.csv b/data/Sequence_labeling_based_version/Word/test_BIO_Word.csv
similarity index 100%
rename from data/Sequence labeling-based version/Word/test_BIO_Word.csv
rename to data/Sequence_labeling_based_version/Word/test_BIO_Word.csv
diff --git a/data/Sequence labeling-based version/Word/train_BIO_Word.csv b/data/Sequence_labeling_based_version/Word/train_BIO_Word.csv
similarity index 100%
rename from data/Sequence labeling-based version/Word/train_BIO_Word.csv
rename to data/Sequence_labeling_based_version/Word/train_BIO_Word.csv
diff --git a/data/Span Extraction-based version/dev.csv b/data/Span_Extraction_based_version/dev.csv
similarity index 100%
rename from data/Span Extraction-based version/dev.csv
rename to data/Span_Extraction_based_version/dev.csv
diff --git a/data/Span Extraction-based version/train.csv b/data/Span_Extraction_based_version/train.csv
similarity index 100%
rename from data/Span Extraction-based version/train.csv
rename to data/Span_Extraction_based_version/train.csv
diff --git a/data/Span Extraction-based version/test.csv b/data/Test_data/test.csv
similarity index 100%
rename from data/Span Extraction-based version/test.csv
rename to data/Test_data/test.csv