doc: update readme;

README.md

@@ -18,21 +18,19 @@
     </a>
     <!-- PyPI download number -->
     <a alt='PyPI download number' href='https://pypi.org/project/tsdb'>
-        <img src='https://static.pepy.tech/personalized-badge/tsdb?period=total&units=international_system&left_color=gray&right_color=blue&left_text=Total%20Downloads'>
+        <img src='https://static.pepy.tech/personalized-badge/tsdb?period=total&units=international_system&left_color=gray&right_color=blue&left_text=Downloads'>
     </a>
     <!-- Code of Conduct -->
     <a alt='CODE_OF_CONDUCT' href='CODE_OF_CONDUCT.md'> 
         <img src='https://img.shields.io/badge/Contributor%20Covenant-v2.1-4baaaa.svg'>
     </a>
-    <!-- Visit number -->
-    <img src='https://hits.seeyoufarm.com/api/count/incr/badge.svg?url=https%3A%2F%2Fgithub.com%2FWenjieDu%2FTime_Series_Database&count_bg=%2379C83D&title_bg=%23555555&icon=&icon_color=%23E7E7E7&title=Visits&edge_flat=false'>
 </p>
 
 > 📣 TSDB now supports a total of 1️⃣1️⃣9️⃣ time-series datasets ‼️
 
 Project TSDB is created to help researchers and engineers get rid of data collecting and downloading, and focus back on data processing details. TSDB provides all-in-one-stop convenience for downloading and loading open-source time-series datasets (available datasets listed [below](https://github.com/WenjieDu/TSDB#-list-of-available-datasets)).
 
-**❕️Note that** due to people have very different requirements for data processing, data-loading functions in TSDB only contain the most general steps (e.g. removing invalid samples) and won't process the data (not even normalize it). So, no worries, TSDB won't affect your data preprocessing. If you only want the raw datasets, TSDB can help you download and save raw datasets as well (take a look at [Usage Examples](https://github.com/WenjieDu/TSDB#-usage-example) below).
+❗️Please note that due to people have very different requirements for data processing, data-loading functions in TSDB only contain the most general steps (e.g. removing invalid samples) and won't process the data (not even normalize it). So, no worries, TSDB won't affect your data preprocessing. If you only want the raw datasets, TSDB can help you download and save raw datasets as well (take a look at [Usage Examples](https://github.com/WenjieDu/TSDB#-usage-example) below).
 
 🤝 If you need TSDB to integrate an open-source dataset or want to add it into TSDB yourself, please feel free to request for it by creating an issue or make a PR to merge your code.
 
@@ -67,4 +65,9 @@ That's all. Simple and efficient. Enjoy it! 😃
 | [UCR & UEA Datasets](datasets/UCR_UEA_Datasets) (all 115 datasets)    | Classification                          |
 
 ## ❖ License
-Please note that TSDB is open source under [license GPL-3.0](https://en.wikipedia.org/wiki/GNU_General_Public_License#Version_3).
+Please note that TSDB is open source under [license GPL-3.0](https://en.wikipedia.org/wiki/GNU_General_Public_License#Version_3).
+
+<details>
+<summary>🏠 Visits</summary>
+<img align='left' src='https://hits.seeyoufarm.com/api/count/incr/badge.svg?url=https%3A%2F%2Fgithub.com%2FWenjieDu%2FTime_Series_Database&count_bg=%2379C83D&title_bg=%23555555&icon=&icon_color=%23E7E7E7&title=Visits+since+April+2022&edge_flat=false'>
+</details>

setup.py

@@ -8,7 +8,7 @@
 setup(
     name='tsdb',
     version=version,
-    description='TSDB (Time Series DataBase): A Python Toolbox Helping Load Open-Source Time-Series Datasets',
+    description='TSDB (Time-Series DataBase): A Python Toolbox Helping Load Open-Source Time-Series Datasets',
     long_description=README,
     long_description_content_type='text/markdown',
     license='GPL-3.0',