updates citation and wide

app/astro.config.mjs

@@ -52,7 +52,8 @@ export default defineConfig({
       rehypeKatex,
       [rehypeCitation, {
         bibliography: 'src/content/bibliography.bib',
-        linkCitations: true
+        linkCitations: true,
+        csl: 'vancouver'
       }],
       rehypeReferencesAndFootnotes,
       rehypeRestoreAtInCode,

app/src/components/Accordion.astro

@@ -89,16 +89,16 @@ const wrapperClass = ["accordion", className].filter(Boolean).join(" ");
   }
 
   .accordion__summary {
-    margin: 0;
     list-style: none;
     display: flex;
     align-items: center;
-    justify-content: space-between;
+    justify-content: center;
     gap: 4px;
-    padding: 10px 8px;
+    padding: 4px;
     cursor: pointer;
     color: var(--text-color);
     user-select: none;
+    position: relative;
   }
 
   /* Remove conditional padding to avoid jump on close */
@@ -116,7 +116,8 @@ const wrapperClass = ["accordion", className].filter(Boolean).join(" ");
   }
 
   .accordion__chevron {
-    flex: 0 0 auto;
+    position: absolute;
+    right: 8px;
     transition: transform 220ms ease;
     opacity: .85;
   }

app/src/content/article.mdx

@@ -65,6 +65,7 @@ Projects like The Cauldron, LLaVa and Cambrian aim to provide such datasets, but
 ### Data Collection
 We manually collect **over 180** image-text datasets from the recent literature and create new subsets in lacking domains.
 
+<Wide>
 <Accordion title="FineVision Subsets">
 |Subset Name                           |Total Images|Total Samples|Total Turns|Total Question Tokens|Total Answer Tokens|Category              |Source                                                             |
 |--------------------------------------|------------|-------------|-----------|---------------------|-------------------|----------------------|-------                                                            |
@@ -255,6 +256,7 @@ We manually collect **over 180** image-text datasets from the recent literature
 |text_OpenMathInstruct-2               |0           |1,000,000    |1,000,000  |74,905,850           |413,132,418        |Text-only             |[@toshniwal_openmathinstruct-2_2024]                               |
 
 </Accordion>
+</Wide>
 
 ### Cleaning
 After gathering all the sub-datasets, every turn is cleaned.