Leaderboard v0.3.0: Performance, Stability, Validity and Data overview tabs

AGENTS.md

@@ -6,13 +6,15 @@ run no compute, so they are free; do not switch it to Gradio or Docker (those ne
 
 ## Files
 
-- `index.html`: the whole page: header, the four tab panels (Leaderboard, Per dataset,
-  Stability & validity, About), all user-facing text, the citation, `<meta name="selectarena-version">`
+- `index.html`: the whole page: header, the five tab panels (Performance, Stability, Validity,
+  Data overview, About), all user-facing text, the citation, `<meta name="selectarena-version">`
   and the version history (`<ul id="version-history">`, newest first).
 - `assets/app.js`: plain JavaScript, no build step. Fetches `data/meta.json`, renders the selector
-  chips (task type, downstream model, budget; combinations that are not published are disabled),
-  sets the iframes' `src` to the generated pages and resizes them when a page posts
-  `{saFrameHeight}`. Keeps the selection in the URL hash.
+  chips (task type, downstream model, budget; combinations that are not published are disabled;
+  task type, view and noise level of the lasagna plots), sets the iframes' `src` and the figures'
+  `<img src>` to the generated files and resizes the iframes when a page posts `{saFrameHeight}`.
+  Keeps the tab and the selections in the URL hash (old hashes `#leaderboard`, `#robustness` and
+  `#datasets` still work).
 - `assets/style.css`: color tokens on `:root` (light) and in `prefers-color-scheme: dark`.
 - `smoke_test.py`: standard-library check of `data/` and of the version (see below).
 
@@ -21,10 +23,16 @@ run no compute, so they are free; do not switch it to Gradio or Docker (those ne
 `data/` is SelectArena's `generated_website_artifacts/clean_website_artifacts/website_data/`:
 
 - `meta.json`: counts, `models` (key -> name), `budgets`, `total_budget`, `task_types`,
-  `has_stability`, `has_validity`, `validity_noise`, `validity_tables`, `generated_at`, and `subsets` (each with
-  `tasks`, `model`, `budget`, `path`, `n_methods`, `n_datasets`, `n_comparisons`).
+  `has_stability`, `has_validity`, `validity_noise`, `validity_tables`, `generated_at`, `subsets` (each with
+  `tasks`, `model`, `budget`, `path`, `n_methods`, `n_datasets`, `n_comparisons`, `pareto`),
+  `lasagna` (`variants`, `variant_labels`, and when present `stability` = `{path, task_types}` and
+  `validity` = a list of `{noise, path, task_types}`) and `has_results_explorer`.
 - `subsets/tasks_<t>/models_<m>/budgets_<b>/`: `website_leaderboard.csv`, `leaderboard_table.html`,
-  `elo_explorer.html`.
+  `elo_explorer.html`, and `pareto.svg` / `pareto.csv` when the subset's `pareto` is true.
+- `lasagna/stability/tasks_<t>/` and `lasagna/validity/noise_<level>/tasks_<t>/`: one
+  `<variant>.svg` per entry of `lasagna.variants` and `per_epv.csv` (the plotted values).
+- `results.csv` and `results_explorer.html`: the results per dataset, method, downstream model and
+  budget (Data overview tab).
 - `per_dataset.csv`, `per_dataset_table.html` (datasets by name), and optionally `stability.csv`,
   `stability_table.html`, `validity.csv` and one `validity_noise_<level>_table.html` per noise level
   (listed in `meta.json` as `validity_tables`).
@@ -32,8 +40,11 @@ run no compute, so they are free; do not switch it to Gradio or Docker (those ne
   `Subgroup` (the paper's taxonomy, e.g. Tree, Backward search), Elo and its interval, the metrics.
 
 The generated pages are self-contained (inline CSS/JS, no network) and post their height to the
-parent window. `subsetDir()` in `app.js` mirrors `selectarena.website.subsets.Subset.rel_path`;
-change both together.
+parent window. The SVG figures (Pareto front, lasagna plots) are matplotlib output shown with
+`<img>` on a white card, as in the paper; they do not follow dark mode.
+
+`subsetDir()` in `app.js` mirrors `selectarena.website.subsets.Subset.rel_path`; change both
+together.
 
 ## Conventions
 
@@ -44,5 +55,5 @@ change both together.
   (`<li><strong>YYYY/MM/DD · vX.Y.Z</strong>: ...</li>`). `smoke_test.py` fails if they differ.
 - No external scripts, fonts or CDNs; everything is served from this repo.
 - Verification: `python smoke_test.py`, then `python -m http.server 8000` and a look at
-  http://localhost:8000 (all four tabs, a few selections, light and dark mode).
+  http://localhost:8000 (all five tabs, a few selections, light and dark mode).
 - Do not commit or push without an explicit request: pushing deploys the Space.

assets/app.js

@@ -2,7 +2,9 @@
 //
 // data/meta.json lists every published subset; each subset folder
 // data/subsets/tasks_<t>/models_<m>/budgets_<b>/ holds elo_explorer.html and leaderboard_table.html,
-// which are embedded as iframes. The folder names mirror selectarena.website.subsets.Subset.rel_path.
+// which are embedded as iframes, and pareto.svg / pareto.csv. The folder names mirror
+// selectarena.website.subsets.Subset.rel_path. The lasagna plots are in data/lasagna/ (meta.lasagna):
+// stability/tasks_<t>/<variant>.svg and validity/noise_<level>/tasks_<t>/<variant>.svg.
 // Every embedded page posts {saFrameHeight: <px>} to this window; the listener below resizes its iframe.
 (function () {
   'use strict';
@@ -15,8 +17,19 @@
     multiclass: 'Multiclass',
     regression: 'Regression'
   };
-  var TABS = ['leaderboard', 'datasets', 'robustness', 'about'];
-  var state = { tab: 'leaderboard', tasks: ALL, model: ALL, budget: ALL };
+  var DEFAULT_VARIANT_LABELS = {
+    plain: 'Heat map',
+    overlay_top_3: 'Top-3 outlined',
+    binary_thr_003: 'Within 0.03 of the best'
+  };
+  var TABS = ['performance', 'stability', 'validity', 'data', 'about'];
+  // Old links (#tab=leaderboard etc.) still open the matching tab.
+  var TAB_ALIASES = { leaderboard: 'performance', robustness: 'stability', datasets: 'data' };
+  var DEFAULTS = {
+    tab: 'performance', tasks: ALL, model: ALL, budget: ALL,
+    stasks: ALL, svariant: 'plain', vtasks: ALL, vvariant: 'plain', noise: ''
+  };
+  var state = Object.assign({}, DEFAULTS);
   var meta = null;
   var published = {};
 
@@ -33,6 +46,8 @@
 
   // 0.5 -> "0.5", 0.75 -> "0.75", 1 -> "1.0"
   function noiseLabel(value) { return Number(value).toFixed(2).replace(/0$/, ''); }
+  // Folder name of a noise level, as Python's f"{noise:g}": 0.5 -> "0.5", 1 -> "1"
+  function noiseKey(value) { return String(Number(value)); }
 
   function budgetLabel(index, total) {
     var label = 'Budget ' + (index + 1);
@@ -41,29 +56,34 @@
     return label;
   }
 
-  // ---- URL hash: #tab=...&tasks=...&model=...&budget=... (shareable selections) ----
+  // ---- URL hash: #tab=...&tasks=...&model=... (shareable selections) ----
   function readHash() {
     var params = new URLSearchParams(window.location.hash.slice(1));
-    ['tab', 'tasks', 'model', 'budget'].forEach(function (k) {
+    Object.keys(DEFAULTS).forEach(function (k) {
       var v = params.get(k);
       if (v) state[k] = v;
     });
-    if (TABS.indexOf(state.tab) < 0) state.tab = 'leaderboard';
+    state.tab = TAB_ALIASES[state.tab] || state.tab;
+    if (TABS.indexOf(state.tab) < 0) state.tab = DEFAULTS.tab;
   }
   function writeHash() {
     var params = new URLSearchParams();
-    if (state.tab !== 'leaderboard') params.set('tab', state.tab);
-    ['tasks', 'model', 'budget'].forEach(function (k) { if (state[k] !== ALL) params.set(k, state[k]); });
+    Object.keys(DEFAULTS).forEach(function (k) {
+      if (state[k] && state[k] !== DEFAULTS[k]) params.set(k, state[k]);
+    });
     var hash = params.toString();
     try {
       history.replaceState(null, '', hash ? '#' + hash : window.location.pathname + window.location.search);
     } catch (e) { /* sandboxed frame: the selection still works, it just is not in the URL */ }
   }
 
-  // ---- iframes ----
+  // ---- iframes and images ----
   function setFrame(frame, src) {
     if (frame.getAttribute('src') !== src) frame.setAttribute('src', src);
   }
+  function setImage(img, src) {
+    if (img.getAttribute('src') !== src) img.setAttribute('src', src);
+  }
   window.addEventListener('message', function (event) {
     var data = event.data;
     if (!data || typeof data.saFrameHeight !== 'number') return;
@@ -72,6 +92,25 @@
     });
   });
 
+  // A row of chips for one choice. `options` are {value, label, disabled?}; `onPick` gets the value.
+  function renderChips(containerId, options, selected, onPick) {
+    var container = $(containerId);
+    container.textContent = '';
+    options.forEach(function (option) {
+      var button = document.createElement('button');
+      button.type = 'button';
+      button.className = 'chip';
+      button.textContent = option.label;
+      button.setAttribute('aria-pressed', String(option.value === selected));
+      if (option.disabled && option.value !== selected) {
+        button.disabled = true;
+        button.title = option.disabledTitle || 'Not available for this selection';
+      }
+      button.addEventListener('click', function () { onPick(option.value); writeHash(); });
+      container.appendChild(button);
+    });
+  }
+
   // ---- header ----
   function renderFacts() {
     var version = document.querySelector('meta[name="selectarena-version"]').getAttribute('content');
@@ -101,8 +140,9 @@
       $('tab-' + t).tabIndex = t === tab ? 0 : -1;
       $('panel-' + t).hidden = t !== tab;
     });
-    if (tab === 'datasets') loadDatasets();
-    if (tab === 'robustness') loadRobustness();
+    if (tab === 'stability') renderStability();
+    if (tab === 'validity') renderValidity();
+    if (tab === 'data') loadData();
     writeHash();
   }
   function initTabs() {
@@ -119,7 +159,7 @@
     });
   }
 
-  // ---- leaderboard ----
+  // ---- performance ----
   function axisOptions() {
     var taskTypes = meta.task_types || [ALL];
     var models = meta.models || {};
@@ -134,32 +174,17 @@
     };
   }
 
-  function renderChips(axis, options) {
-    var container = $('chips-' + axis);
-    container.textContent = '';
-    options.forEach(function (option) {
-      var button = document.createElement('button');
-      button.type = 'button';
-      button.className = 'chip';
-      button.textContent = option.label;
-      button.setAttribute('aria-pressed', String(option.value === state[axis]));
-      var available = published[key(withAxis(axis, option.value))];
-      if (!available && option.value !== state[axis]) {
-        button.disabled = true;
-        button.title = 'No leaderboard for this combination';
-      }
-      button.addEventListener('click', function () {
-        state[axis] = option.value;
-        renderLeaderboard();
-        writeHash();
-      });
-      container.appendChild(button);
-    });
-  }
-
-  function renderLeaderboard() {
+  function renderPerformance() {
     var options = axisOptions();
-    ['tasks', 'model', 'budget'].forEach(function (axis) { renderChips(axis, options[axis]); });
+    ['tasks', 'model', 'budget'].forEach(function (axis) {
+      renderChips('chips-' + axis, options[axis].map(function (o) {
+        return {
+          value: o.value, label: o.label,
+          disabled: !published[key(withAxis(axis, o.value))],
+          disabledTitle: 'No leaderboard for this combination'
+        };
+      }), state[axis], function (value) { state[axis] = value; renderPerformance(); });
+    });
 
     var info = published[key(state)];
     var scope = [
@@ -189,41 +214,101 @@
       table.style.height = (info.n_methods * 37 + 90) + 'px';
     }
     setFrame(table, dir + 'leaderboard_table.html');
+
+    $('pareto-missing').hidden = !!info.pareto;
+    $('pareto-figure').hidden = !info.pareto;
+    if (info.pareto) {
+      setImage($('img-pareto'), dir + 'pareto.svg');
+      $('link-pareto-svg').href = dir + 'pareto.svg';
+      $('link-pareto-csv').href = dir + 'pareto.csv';
+    }
   }
 
-  // ---- other tabs (loaded on first view) ----
-  function loadDatasets() {
-    if (!meta) { $('datasets-missing').hidden = false; $('frame-datasets').hidden = true; return; }
-    setFrame($('frame-datasets'), 'data/per_dataset_table.html');
+  // ---- lasagna plots (stability and validity) ----
+  function variantOptions() {
+    var lasagna = (meta && meta.lasagna) || {};
+    var labels = lasagna.variant_labels || DEFAULT_VARIANT_LABELS;
+    return (lasagna.variants || Object.keys(DEFAULT_VARIANT_LABELS)).map(function (v) {
+      return { value: v, label: labels[v] || v };
+    });
+  }
+  function taskOptions(available) {
+    return Object.keys(TASK_LABELS)
+      .filter(function (k) { return available.indexOf(k) >= 0; })
+      .map(function (k) { return { value: k, label: TASK_LABELS[k] }; });
+  }
+  function showLasagna(prefix, folder, tasks, variant) {
+    var dir = 'data/' + folder + '/tasks_' + tasks + '/';
+    setImage($('img-' + prefix), dir + variant + '.svg');
+    $('link-' + prefix + '-svg').href = dir + variant + '.svg';
+    $('link-' + prefix + '-csv').href = dir + 'per_epv.csv';
   }
-  function loadRobustness() {
-    var hasStability = !!(meta && meta.has_stability);
-    $('stability-missing').hidden = hasStability;
-    $('frame-stability').hidden = !hasStability;
-    if (hasStability) setFrame($('frame-stability'), 'data/stability_table.html');
 
-    // One validity table per noise level (meta.validity_tables); older data had a single table.
+  function renderStability() {
+    var info = meta && meta.lasagna && meta.lasagna.stability;
+    var hasTable = !!(meta && meta.has_stability);
+    $('stability-missing').hidden = !!(info || hasTable);
+    $('stability-content').hidden = !(info || hasTable);
+    if (hasTable) setFrame($('frame-stability'), 'data/stability_table.html');
+    var figure = $('img-stability').closest('figure');
+    figure.hidden = !info;
+    $('chips-stab-tasks').closest('.controls').hidden = !info;
+    if (!info) return;
+    if (info.task_types.indexOf(state.stasks) < 0) state.stasks = info.task_types[0];
+    renderChips('chips-stab-tasks', taskOptions(info.task_types), state.stasks,
+      function (value) { state.stasks = value; renderStability(); });
+    var variants = variantOptions();
+    if (!variants.some(function (v) { return v.value === state.svariant; })) state.svariant = variants[0].value;
+    renderChips('chips-stab-variant', variants, state.svariant,
+      function (value) { state.svariant = value; renderStability(); });
+    showLasagna('stability', info.path, state.stasks, state.svariant);
+  }
+
+  function renderValidity() {
+    var levels = (meta && meta.lasagna && meta.lasagna.validity) || [];
     var tables = (meta && meta.validity_tables) || [];
-    if (!tables.length && meta && meta.has_validity) tables = [{ noise: null, path: 'validity_table.html' }];
-    $('validity-missing').hidden = tables.length > 0;
-    var container = $('validity-tables');
-    if (!container.childElementCount) {
-      tables.forEach(function (table) {
-        if (table.noise != null) {
-          var heading = document.createElement('h3');
-          heading.textContent = 'Noise level ' + noiseLabel(table.noise) +
-            (Number(table.noise) === Number(meta.validity_noise) ? ' (used on the leaderboard)' : '');
-          container.appendChild(heading);
-        }
-        var frame = document.createElement('iframe');
-        frame.className = 'frame sa-frame';
-        frame.title = 'Validity per method' + (table.noise != null ? ' at noise level ' + noiseLabel(table.noise) : '');
-        frame.style.height = '640px';
-        frame.src = 'data/' + table.path;
-        container.appendChild(frame);
-      });
-    }
+    $('validity-missing').hidden = levels.length > 0 || tables.length > 0;
+    $('validity-content').hidden = !(levels.length || tables.length);
     if (meta && meta.validity_noise != null) $('validity-noise').textContent = noiseLabel(meta.validity_noise);
+
+    // Noise levels from the plots, or else from the tables.
+    var noises = (levels.length ? levels : tables).map(function (l) { return noiseKey(l.noise); });
+    if (!noises.length) return;
+    if (noises.indexOf(state.noise) < 0) {
+      var preferred = meta.validity_noise != null ? noiseKey(meta.validity_noise) : noises[0];
+      state.noise = noises.indexOf(preferred) >= 0 ? preferred : noises[0];
+    }
+    renderChips('chips-val-noise', noises.map(function (n) {
+      return { value: n, label: noiseLabel(n) + ' noise feature' + (Number(n) === 1 ? '' : 's') + ' per feature' };
+    }), state.noise, function (value) { state.noise = value; renderValidity(); });
+
+    var table = tables.filter(function (t) { return noiseKey(t.noise) === state.noise; })[0];
+    $('frame-validity').hidden = !table;
+    if (table) setFrame($('frame-validity'), 'data/' + table.path);
+
+    var level = levels.filter(function (l) { return noiseKey(l.noise) === state.noise; })[0];
+    $('img-validity').closest('figure').hidden = !level;
+    $('chips-val-tasks').closest('.control').hidden = !level;
+    $('chips-val-variant').closest('.control').hidden = !level;
+    if (!level) return;
+    if (level.task_types.indexOf(state.vtasks) < 0) state.vtasks = level.task_types[0];
+    renderChips('chips-val-tasks', taskOptions(level.task_types), state.vtasks,
+      function (value) { state.vtasks = value; renderValidity(); });
+    var variants = variantOptions();
+    if (!variants.some(function (v) { return v.value === state.vvariant; })) state.vvariant = variants[0].value;
+    renderChips('chips-val-variant', variants, state.vvariant,
+      function (value) { state.vvariant = value; renderValidity(); });
+    showLasagna('validity', level.path, state.vtasks, state.vvariant);
+  }
+
+  // ---- data overview ----
+  function loadData() {
+    var hasExplorer = !!(meta && meta.has_results_explorer);
+    $('data-missing').hidden = !!meta;
+    $('frame-results').hidden = !hasExplorer;
+    if (hasExplorer) setFrame($('frame-results'), 'data/results_explorer.html');
+    $('frame-datasets').hidden = !meta;
+    if (meta) setFrame($('frame-datasets'), 'data/per_dataset_table.html');
   }
 
   // ---- start ----
@@ -241,7 +326,7 @@
         if (!published[key(state)]) { state.tasks = ALL; state.model = ALL; state.budget = ALL; }
         $('leaderboard-content').hidden = false;
         renderFacts();
-        renderLeaderboard();
+        renderPerformance();
         showTab(state.tab);
       })
       .catch(function () {

assets/style.css

@@ -119,3 +119,13 @@ pre {
 }
 .history { padding-left: 18px; }
 .history li { margin: 6px 0; }
+
+/* Figures rendered by matplotlib (Pareto front, lasagna plots): drawn on white, so they sit on a
+   white card in dark mode too. */
+.plot { margin: 4px 0 22px; }
+.plot img {
+  display: block; width: 100%; max-width: 900px; height: auto;
+  background: #ffffff; border: 1px solid var(--line); border-radius: var(--radius); padding: 8px;
+}
+.plot[hidden] { display: none; }
+.plot figcaption { margin-top: 8px; }

data/lasagna/stability/tasks_all/per_epv.csv

@@ -0,0 +1,959 @@
+method,epv,stability
+(R)ReliefF,0.0013,0.3767
+(R)ReliefF,0.0035,0.3312
+(R)ReliefF,0.004,0.4159
+(R)ReliefF,0.0041,0.1911
+(R)ReliefF,0.0046,0.5667
+(R)ReliefF,0.0048,0.369
+(R)ReliefF,0.006,0.7393
+(R)ReliefF,0.011,0.4763
+(R)ReliefF,0.0118,0.226
+(R)ReliefF,0.0247,0.2099
+(R)ReliefF,0.0501,0.2457
+(R)ReliefF,0.0889,0.5229
+(R)ReliefF,0.1081,0.8186
+(R)ReliefF,0.1143,0.8418
+(R)ReliefF,0.2105,0.8084
+(R)ReliefF,0.2212,0.6284
+(R)ReliefF,0.2647,0.559
+(R)ReliefF,0.5882,0.6373
+(R)ReliefF,0.6667,0.7119
+(R)ReliefF,0.7236,0.7154
+(R)ReliefF,0.9509,0.5087
+(R)ReliefF,0.9668,0.7461
+(R)ReliefF,1.25,0.3977
+(R)ReliefF,1.6842,0.4375
+(R)ReliefF,2.2308,0.7132
+(R)ReliefF,2.3913,0.8115
+(R)ReliefF,2.5,0.652
+(R)ReliefF,3.3889,0.5787
+(R)ReliefF,3.8182,0.2754
+(R)ReliefF,4.0,0.3482
+(R)ReliefF,4.3204,0.9391
+(R)ReliefF,5.6064,0.7517
+(R)ReliefF,6.3438,0.3908
+(R)ReliefF,6.8941,0.8564
+(R)ReliefF,8.1361,0.806
+(R)ReliefF,8.1538,0.6822
+(R)ReliefF,8.5417,0.6333
+(R)ReliefF,8.6829,0.6927
+(R)ReliefF,10.6923,0.5116
+(R)ReliefF,15.0769,0.843
+(R)ReliefF,19.3846,0.3233
+(R)ReliefF,20.4667,0.7184
+(R)ReliefF,20.7419,0.865
+(R)ReliefF,22.0556,0.9253
+(R)ReliefF,30.8706,0.888
+(R)ReliefF,33.4967,0.2679
+(R)ReliefF,37.2105,0.8496
+(R)ReliefF,40.0,0.7846
+(R)ReliefF,42.9333,0.7623
+(R)ReliefF,43.0833,0.5432
+(R)ReliefF,203.7,0.7179
+(R)ReliefF,217.3913,0.8643
+(R)ReliefF,228.0833,0.9096
+(R)ReliefF,288.5217,0.8098
+(R)ReliefF,398.0833,0.8406
+(R)ReliefF,406.8462,0.9014
+(R)ReliefF,541.4167,0.6751
+(R)ReliefF,586.2973,0.9207
+(R)ReliefF,891.0,0.6047
+(R)ReliefF,918.4,0.9396
+(R)ReliefF,1002.6,0.761
+(R)ReliefF,1448.5923,0.8781
+(R)ReliefF,1723.7273,0.6671
+(R)ReliefF,2799.6667,0.9562
+CART,0.0013,0.0093
+CART,0.0035,0.0078
+CART,0.004,0.0055
+CART,0.0041,0.0011
+CART,0.0046,0.0174
+CART,0.0048,0.0253
+CART,0.006,0.022
+CART,0.011,0.0053
+CART,0.0118,0.0146
+CART,0.0247,0.0032
+CART,0.0501,0.0055
+CART,0.0889,0.0808
+CART,0.1081,0.4667
+CART,0.1143,0.3108
+CART,0.2105,0.3293
+CART,0.2212,0.4742
+CART,0.2647,0.2021
+CART,0.5882,0.5283
+CART,0.6667,0.2456
+CART,0.7236,0.2615
+CART,0.9509,0.2149
+CART,0.9668,0.3143
+CART,1.25,0.0875
+CART,1.6842,0.2347
+CART,2.2308,0.4271
+CART,2.3913,0.1301
+CART,2.5,0.4164
+CART,3.3889,0.3673
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data/lasagna/stability/tasks_multiclass/per_epv.csv

@@ -0,0 +1,174 @@
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data/lasagna/stability/tasks_regression/per_epv.csv

@@ -0,0 +1,125 @@
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data/lasagna/validity/noise_0.5/tasks_all/per_epv.csv

@@ -0,0 +1,1019 @@
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data/lasagna/validity/noise_0.5/tasks_multiclass/per_epv.csv

@@ -0,0 +1,181 @@
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data/lasagna/validity/noise_0.5/tasks_regression/per_epv.csv

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data/lasagna/validity/noise_0.75/tasks_all/per_epv.csv

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