documentation page style update and readme dataset update

README.md

@@ -70,6 +70,7 @@ An extensible, convenient, and efficient toolbox for finetuning large machine le
     - [Setup](#setup)
     - [Prepare Dataset](#prepare-dataset)
     - [Finetuning (Full)](#finetuning-full)
+    - [Finetuning (LISA)](#finetuning-lisa)
     - [Finetuning (LoRA)](#finetuning-lora)
     - [Inference](#inference)
     - [Deployment](#deployment)
@@ -97,7 +98,7 @@ bash install.sh
 
 ### Prepare Dataset
 
-Please refer to our [doc](https://github.com/OptimalScale/LMFlow/blob/main/docs/dataset.md).
+Please refer to our [doc](https://optimalscale.github.io/LMFlow/examples/DATASETS.html).
 
 ### Finetuning (Full)
 Full training updates all the parameters to finetune a language model.

docs/source/conf.py

@@ -58,15 +58,11 @@
 
 html_theme = "pydata_sphinx_theme"
 html_static_path = ['_static']
-html_css_files = ['custom.css',]
+html_css_files = []
 html_logo = "_static/logo.png"
 html_theme_options = {
     "announcement": "We've released our memory-efficient finetuning algorithm LISA, check out [<a href='https://arxiv.org/pdf/2403.17919.pdf'>Paper</a>][<a href='https://github.com/OptimalScale/LMFlow#finetuning-lisa'>User Guide</a>] for more details!",
     "back_to_top_button": False,
-    "navbar_start": ["navbar-logo"],
-    "navbar_center": ["navbar-nav"],
-    "navbar_end": ["navbar-icon-links"],
-    "navbar_persistent": ["search-button"],
     "header_links_before_dropdown": 4,
     "icon_links": [
         {