fix billion display

app.py

@@ -59,9 +59,9 @@ st.markdown("Explore massive datasets hosted on Hugging Face, totaling approxima
 # Function to load dataset information
 @st.cache_data
 def load_datasets():
-    return [
+    datasets = [
         # Reddit datasets
-        {"Source": "Reddit", "DataSet repo link": "https://huggingface.co/datasets/PlanAPlanB/reddit_dataset_69", "Number of rows": "6 MLN"},
+        {"Source": "Reddit", "DataSet repo link": "https://huggingface.co/datasets/PlanAPlanB/reddit_dataset_69", "Number of rows": "6000000"},
         {"Source": "Reddit", "DataSet repo link": "https://huggingface.co/datasets/mgrtsv/reddit_dataset_229", "Number of rows": "44,815,182"},
         {"Source": "Reddit", "DataSet repo link": "https://huggingface.co/datasets/wenknow/reddit_dataset_88", "Number of rows": "253,506,882"},
         {"Source": "Reddit", "DataSet repo link": "https://huggingface.co/datasets/PlanAPlanB/reddit_dataset_218", "Number of rows": "562,042"},
@@ -71,13 +71,13 @@ def load_datasets():
         {"Source": "Reddit", "DataSet repo link": "https://huggingface.co/datasets/dataverse-scraping/reddit_dataset_71", "Number of rows": "259,924,884"},
         {"Source": "Reddit", "DataSet repo link": "https://huggingface.co/datasets/wenknow/reddit_dataset_209", "Number of rows": "209,698,975"},
         {"Source": "Reddit", "DataSet repo link": "https://huggingface.co/datasets/arrmlet/reddit_dataset_218", "Number of rows": "7,064,613"},
-        {"Source": "Reddit", "DataSet repo link": "https://huggingface.co/datasets/dataverse-scraping/reddit_dataset_192", "Number of rows": "249 MLN"},
-        {"Source": "Reddit", "DataSet repo link": "https://huggingface.co/datasets/icedwind/reddit_dataset_226", "Number of rows": "303 MLN"},
-        {"Source": "Reddit", "DataSet repo link": "https://huggingface.co/datasets/arrmlet/reddit_dataset_123", "Number of rows": "1.12 MLN"},
-        {"Source": "Reddit", "DataSet repo link": "https://huggingface.co/datasets/chris241/reddit_dataset_75", "Number of rows": "132 MLN"},
-        {"Source": "Reddit", "DataSet repo link": "https://huggingface.co/datasets/wenknow/reddit_dataset_242", "Number of rows": "130 MLN"},
-        {"Source": "Reddit", "DataSet repo link": "https://huggingface.co/datasets/mgrtsv/reddit_dataset_231", "Number of rows": "31.2 MLN"},
-        {"Source": "Reddit", "DataSet repo link": "https://huggingface.co/datasets/PlanAPlanB/reddit_dataset_9", "Number of rows": "26.9 MLN"},
+        {"Source": "Reddit", "DataSet repo link": "https://huggingface.co/datasets/dataverse-scraping/reddit_dataset_192", "Number of rows": "249000000"},
+        {"Source": "Reddit", "DataSet repo link": "https://huggingface.co/datasets/icedwind/reddit_dataset_226", "Number of rows": "303000000"},
+        {"Source": "Reddit", "DataSet repo link": "https://huggingface.co/datasets/arrmlet/reddit_dataset_123", "Number of rows": "1120000"},
+        {"Source": "Reddit", "DataSet repo link": "https://huggingface.co/datasets/chris241/reddit_dataset_75", "Number of rows": "132000000"},
+        {"Source": "Reddit", "DataSet repo link": "https://huggingface.co/datasets/wenknow/reddit_dataset_242", "Number of rows": "130000000"},
+        {"Source": "Reddit", "DataSet repo link": "https://huggingface.co/datasets/mgrtsv/reddit_dataset_231", "Number of rows": "31200000"},
+        {"Source": "Reddit", "DataSet repo link": "https://huggingface.co/datasets/PlanAPlanB/reddit_dataset_9", "Number of rows": "26900000"},
         
         # X datasets
         {"Source": "X", "DataSet repo link": "https://huggingface.co/datasets/littleGuagua/x_dataset_0", "Number of rows": "331,611,777"},
@@ -88,20 +88,27 @@ def load_datasets():
         {"Source": "X", "DataSet repo link": "https://huggingface.co/datasets/arrmlet/x_dataset_218", "Number of rows": "1,753,878"},
         {"Source": "X", "DataSet repo link": "https://huggingface.co/datasets/SAVE0x0/x_dataset_191", "Number of rows": "92,588"},
         {"Source": "X", "DataSet repo link": "https://huggingface.co/datasets/johnny8188/x_dataset_187", "Number of rows": "52,762"},
-        {"Source": "X", "DataSet repo link": "https://huggingface.co/datasets/icedwind/x_dataset_19", "Number of rows": "332 MLN"},
-        {"Source": "X", "DataSet repo link": "https://huggingface.co/datasets/wenknow/x_dataset", "Number of rows": "9.9 K"},
-        {"Source": "X", "DataSet repo link": "https://huggingface.co/datasets/arrmlet/reddit_dataset_123", "Number of rows": "89 K"}
+        {"Source": "X", "DataSet repo link": "https://huggingface.co/datasets/icedwind/x_dataset_19", "Number of rows": "332000000"},
+        {"Source": "X", "DataSet repo link": "https://huggingface.co/datasets/wenknow/x_dataset", "Number of rows": "9900"},
+        {"Source": "X", "DataSet repo link": "https://huggingface.co/datasets/arrmlet/reddit_dataset_123", "Number of rows": "89000"}
     ]
+    return datasets
+
+# Function to convert row count to float
+def parse_row_count(row_count):
+    return float(row_count.replace(',', ''))
 
 # Load datasets
 datasets = load_datasets()
 df = pd.DataFrame(datasets)
 
+# Calculate total rows
+total_rows = sum(parse_row_count(rows) for rows in df['Number of rows'])
+
 # Display statistics
-col1, col2, col3 = st.columns(3)
+col1, col2 = st.columns(2)
 with col1:
-    total_rows = sum(float(str(rows).split()[0].replace(',', '')) for rows in df['Number of rows'])
-    st.metric("Total Rows", f"{total_rows / 1000:.2f}B")
+    st.metric("Total Rows", f"{total_rows / 1e9:.2f}B")
 with col2:
     st.metric("Total Datasets", len(df))