Fix/issue 385 search underscore

app-next/src/app/[locale]/(learn)/contribute/page.tsx

@@ -286,8 +286,8 @@ export default async function ContributePage({
                         icon: Code,
                       },
                       {
-                        label: "Docs",
-                        href: "https://docs.openml.org/Website/",
+                        label: "Developer docs",
+                        href: "https://docs.openml.org/contributing/website/Website/",
                         icon: BookOpen,
                       },
                     ].map((item) => (
@@ -332,7 +332,7 @@ export default async function ContributePage({
                   </div>
                   <div className="flex flex-wrap gap-2">
                     <Link
-                      href="https://docs.openml.org/Website/"
+                      href="https://docs.openml.org/contributing/website/Website/"
                       target="_blank"
                     >
                       <Button

app-next/src/app/api/proxy-file/route.ts

@@ -42,9 +42,14 @@ export async function GET(request: NextRequest) {
   }
 
   try {
+    // Forward the client's Accept-Encoding to avoid serving gzip/brotli to
+    // clients that can't handle it (fixes #367)
+    const clientEncoding = request.headers.get("accept-encoding") || "identity";
+
     const response = await fetch(url, {
       headers: {
         "User-Agent": "OpenML-NextApp/1.0",
+        "Accept-Encoding": clientEncoding,
       },
     });
 
@@ -64,26 +69,39 @@ export async function GET(request: NextRequest) {
       upstreamContentType.includes("octet-stream") ||
       upstreamContentType.includes("parquet");
 
+    // Pass through content-encoding so the client knows if it's compressed
+    const contentEncoding = response.headers.get("content-encoding");
+
     if (isBinary) {
       // Binary response (parquet files)
       const buffer = await response.arrayBuffer();
+      const binaryHeaders: Record<string, string> = {
+        "Content-Type": "application/octet-stream",
+        "Content-Length": buffer.byteLength.toString(),
+        "Cache-Control": "public, max-age=86400",
+        "Vary": "Accept-Encoding",
+      };
+      if (contentEncoding) {
+        binaryHeaders["Content-Encoding"] = contentEncoding;
+      }
       return new NextResponse(buffer, {
         status: 200,
-        headers: {
-          "Content-Type": "application/octet-stream",
-          "Content-Length": buffer.byteLength.toString(),
-          "Cache-Control": "public, max-age=86400",
-        },
+        headers: binaryHeaders,
       });
     } else {
       // Text response (ARFF, CSV, predictions)
       const text = await response.text();
+      const textHeaders: Record<string, string> = {
+        "Content-Type": upstreamContentType,
+        "Cache-Control": "public, max-age=3600",
+        "Vary": "Accept-Encoding",
+      };
+      if (contentEncoding) {
+        textHeaders["Content-Encoding"] = contentEncoding;
+      }
       return new NextResponse(text, {
         status: 200,
-        headers: {
-          "Content-Type": upstreamContentType,
-          "Cache-Control": "public, max-age=3600",
-        },
+        headers: textHeaders,
       });
     }
   } catch (error) {

app-next/src/components/layout/footer.tsx

@@ -295,7 +295,7 @@ export function Footer() {
               </li>
               <li>
                 <a
-                  href="docs.openml.org/pytorch/"
+                  href="https://docs.openml.org/pytorch/"
                   className="text-slate-400 transition-colors hover:text-white"
                   target="_blank"
                   rel="noopener noreferrer"

app-next/src/services/OpenMLSearchConnector.ts

@@ -133,6 +133,22 @@ class OpenMLSearchConnector implements APIConnector {
           });
         }
 
+        // Issue #385: If the search term contains spaces, also search for the underscored version
+        // This allows "house prices nominal" to match the dataset "house_prices_nominal"
+        if (searchTerm.includes(" ")) {
+          const underscoredTerm = searchTerm.replace(/\s+/g, "_");
+          shouldClauses.push({
+            multi_match: {
+              query: underscoredTerm,
+              fields: searchFields.map(
+                (f) =>
+                  `${f}^${(queryConfig.search_fields?.[f]?.weight || 1) * 2}`,
+              ),
+              type: "phrase",
+            },
+          });
+        }
+
         query.bool?.must?.push({
           bool: {
             should: shouldClauses,
@@ -383,7 +399,7 @@ class OpenMLSearchConnector implements APIConnector {
       totalPages: Math.ceil(totalResults / (requestState.resultsPerPage || 10)),
       pagingStart:
         ((requestState.current || 1) - 1) *
-          (requestState.resultsPerPage || 10) +
+        (requestState.resultsPerPage || 10) +
         1,
       pagingEnd: Math.min(
         (requestState.current || 1) * (requestState.resultsPerPage || 10),