List only the selected models under selected

README.md

@@ -12,5 +12,6 @@ datasets:
 
 Lists the models of the
 [aws-neuron/torch-neuronx-model-support](https://huggingface.co/datasets/aws-neuron/torch-neuronx-model-support)
-dataset, by library and `(neuronx-cc, library version)` pair, in the order the
-sweep selected them or by their trending score or downloads on the Hub.
+dataset, by library and `(neuronx-cc, library version)` pair: the ones the
+latest sweep selected, in its order, or all of them by their trending score or
+downloads on the Hub.

app.js

@@ -164,13 +164,19 @@ async function renderPanel() {
   const task = (run) => stats.get(run.model_id).task;
   const renderResults = () => {
     const order = {
-      selected: (a, b) => (rank.get(a.model_id) ?? Infinity) - (rank.get(b.model_id) ?? Infinity),
+      selected: (a, b) => rank.get(a.model_id) - rank.get(b.model_id),
       trending: (a, b) => stats.get(b.model_id).trending - stats.get(a.model_id).trending
         || stats.get(b.model_id).downloads - stats.get(a.model_id).downloads,
       downloads: (a, b) => stats.get(b.model_id).downloads - stats.get(a.model_id).downloads,
     }[s.order];
-    const shown = runs.filter((run) => !s.hiddenTasks.has(task(run)))
+    const matching = runs.filter((run) => !s.hiddenTasks.has(task(run)));
+    const shown = (s.order === "selected" ? matching.filter((run) => rank.has(run.model_id)) : matching)
       .sort((a, b) => order(a, b) || a.model_id.localeCompare(b.model_id) || a.tp - b.tp);
+    if (!shown.length) {
+      results.replaceChildren(h("p", { class: "status" }, matching.length
+        ? "None of these models is in the latest selection." : "No model matches the ticked tasks."));
+      return;
+    }
     const counts = new Map();
     for (const run of shown) counts.set(run.result, (counts.get(run.result) ?? 0) + 1);
     const failures = [...counts].filter(([result]) => result !== "PASS").sort(([a], [b]) => a.localeCompare(b));