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app/pages.py

@@ -37,26 +37,38 @@ def dashboard():
             [![GitHub watchers](https://img.shields.io/github/watchers/AudioLLMs/AudioBench?style=social)][gh]
             """)
 
-    audio_url = "https://arxiv.org/abs/2406.16020"
 
-    st.markdown("#### News")
     st.markdown("""
-                **Dec 13, 2024**: Singlish ASR task added!
-                """)
-    st.markdown("**Dec 12, 2024**: Update layout and support comparison between models with similar model sizes. Layout reorganized for better user experience. Add performance summary for each task.")
-    st.markdown("**Aug, 2024**: Initial leaderboard online.")
+    ### Changelog
+
+    - **Dec 13, 2024**: 
+        - Singlish ASR task added! The datasets are available on [HF](https://huggingface.co/datasets/MERaLiON/MNSC).
+
+    - **Dec 12, 2024**: 
+        - Updated layout and added support for comparison between models with similar sizes.
+        - Reorganized layout for a better user experience.
+        - Added performance summary for each task.
+
+    - **Aug 2024**: 
+        - Initial leaderboard is now online.
+    """)
 
     st.divider()
     
-    st.markdown("#### What is [AudioBench](%s)?" % audio_url)
-    st.markdown("##### :dizzy: A comprehensive evaluation benchmark designed for general instruction-following audio large language models.")
-    st.markdown("##### :dizzy: A evaluation benchmark that we consistently put effort in updating and maintaining.")
-    st.markdown('''
-                ''')
+    st.markdown("""
+                #### What is [AudioBench](https://arxiv.org/abs/2406.16020)?
+                
+                - AudioBench is a comprehensive evaluation benchmark designed for general instruction-following audio large language models.
+                - AudioBench is a evaluation benchmark that we consistently put effort in updating and maintaining.
+                
+                Below are the initial 26 datasets that are included in AudioBench. We are now exteneded to over 40 datasets and going to extend to more in the future.
+                """
+                )
+
 
     with st.container():
-        left_co, center_co, right_co = st.columns([0.5,1, 0.5])
-        with center_co:
+        left_co, center_co, right_co = st.columns([1, 0.5, 0.5])
+        with left_co:
             st.image("./style/audio_overview.png", 
                      caption="Overview of the datasets in AudioBench.", 
                      )
@@ -68,24 +80,28 @@ def dashboard():
         
         st.markdown("###### :dart: Our Benchmark includes: ")
         cols = st.columns(10)
-        cols[1].metric(label="Tasks", value=">8") #delta="Tasks", delta_color="off"
-        cols[2].metric(label="Datasets", value=">30")
-        cols[3].metric(label="Evaluated Models", value=">5")
+        cols[0].metric(label="Tasks", value=">8")
+        cols[1].metric(label="Datasets", value=">40")
+        cols[2].metric(label="Evaluated Models", value=">5")
 
 
     st.divider()
     with st.container():
-        st.markdown("##### Citations")
+        left_co, center_co, right_co = st.columns([1, 0.5, 0.5])
 
-        st.markdown('''
-                    :round_pushpin: AudioBench Paper \n
+        with left_co:
+            st.markdown("""
+                        ##### Citations :round_pushpin:
+                        ```
                         @article{wang2024audiobench,
                             title={AudioBench: A Universal Benchmark for Audio Large Language Models},
                             author={Wang, Bin and Zou, Xunlong and Lin, Geyu and Sun, Shuo and Liu, Zhuohan and Zhang, Wenyu and Liu, Zhengyuan and Aw, AiTi and Chen, Nancy F},
                             journal={arXiv preprint arXiv:2406.16020},
                             year={2024}
                             }
-                    ''')
+                        ```
+                        """)
+
 
 def asr():
     st.title("Task: Automatic Speech Recognition")