Update README.md

README.md

@@ -1,14 +1,11 @@
----
-license: mit
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 # Code Qualiy Evaluation Dataset
 Welcome to the repository for our research paper: T. Wang and Z. Chen, "Analyzing Code Text Strings for Code Evaluation," 2023 IEEE International Conference on Big Data (BigData), Sorrento, Italy, 2023, pp. 5619-5628, doi: 10.1109/BigData59044.2023.10386406.
 
 ## Contents
 This repository contains the following:
-- License
-- Dataset (https://github.com/tisage/codeQuality)
 - Fine-tuned Model
+- Dataset (https://github.com/tisage/codeQuality)
+- License
 
 ## Model Info
 There are three BERT models, each fine-tuned on a dataset of 70,000 Python 3 solutions submitted by users for problems #1 through #100 on LeetCode:
@@ -25,12 +22,10 @@ pip install -q tf-models-official
 
 **Loading the Model**
 To utilize the bert_lc100_regression model within TensorFlow, follow these steps:
-
 ```
 import tensorflow as tf
 import tensorflow_text as text
 model =  tf.keras.models.load_model('saved_model/bert_lc100_regression/', compile=False)
-
 ```
 
 **Making Predictions**
@@ -54,3 +49,7 @@ If you found the dataset useful in your research or applications, please cite us
   doi={10.1109/BigData59044.2023.10386406}
 }
 ```
+
+---
+license: mit
+---