Update README

README.md

@@ -6,8 +6,8 @@ size_categories:
 - 10K<n<100K
 ---
 
-# Matthiola incana leaf dataset
-This dataset is intended to create a model for classifying images of Matthiola incana leaves into **single-flowered** leaf or **double-flowered leaf**.
+# Matthiola incana Leaf Image Classification dataset
+Matthiola incana Leaf Image Classification dataset(MiLIC) is intended to create a model for classifying images of Matthiola incana leaves into **single-flowered** leaf or **double-flowered leaf**.
 
 # Matthiola incana 
 <img src="https://cdn-uploads.huggingface.co/production/uploads/6350ca6607080feca52ee6e1/1CbJpwx4Lcxxi208HkTjm.png" alt="Image description" width="50%">
@@ -50,12 +50,12 @@ Quartet_Apricot/
 This dataset splits images not only by label but also by date, so when using it, we recommend downloading the dataset using the git clone command.
 
 ```
-git clone https://huggingface.co/datasets/Kentaro-Machida/Matthiola_incana_leaf_dataset
+git clone https://huggingface.co/datasets/Kentaro-Machida/Matthiola-incana-Leaf-Image-Classification
 ```
 
 
 # Data collection
-This data was created by agricultural experts at Mizuho Agricultural High School in Tokyo, Japan, in collaboration with the Nakajo Laboratory at Tokyo University of Agriculture and Technology.
+MiLIC dataset was created by agricultural experts at Mizuho Agricultural High School in Tokyo, Japan, in collaboration with the Nakajo Laboratory at Tokyo University of Agriculture and Technology.
 
 We planted M.incana seeds in trays and tracked whether each individual became a single-flower or a double-flower. Images were taken between 2 and 3 weeks after planting the seeds.