Publish Ropedia Xperience-10M task baseline cards

metrics/artifact_index.json

@@ -1,6 +1,6 @@
 {
   "title": "Ropedia Xperience-10M Task Suite Artifact Index",
-  "generated_at_utc": "2026-06-01T04:22:58+00:00",
+  "generated_at_utc": "2026-06-01T04:49:01+00:00",
   "status": "pass",
   "artifact_count": 29,
   "missing": [],
@@ -138,7 +138,7 @@
       "volatile": true,
       "proves": "Confirms local website links, anchors, JSON data files, and referenced images resolve.",
       "exists": true,
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       "hash_policy": "existence_and_size_only"
     },
     {
@@ -259,8 +259,8 @@
       "surface": "website_hf",
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-      "bytes": 2351084,
-      "sha256": "782835d341c4d7af60518b0d0d1087ab0f93892e0e90a12d88dba712e42cfd41"
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     {
       "id": "modality_atlas",

metrics/mirror_parity.json

@@ -1,6 +1,6 @@
 {
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+  "generated_at_utc": "2026-06-01T04:49:44+00:00",
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     "group_count": 28,
@@ -29,26 +29,26 @@
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@@ -153,26 +153,26 @@
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           "bytes": 4105,
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@@ -308,26 +308,26 @@
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         "exists": true,
         "bytes": 19964,
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           "exists": true,
           "bytes": 19964,
-          "sha256": "263b52f636794073a653972463a113b35cd52d8832b32d3ed46bd41fc502e7c8"
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           "exists": true,
           "bytes": 19964,
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@@ -400,27 +400,27 @@
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           "exists": true,
-          "bytes": 5432,
-          "sha256": "51212ffc0d43f28102bacea4737de2bd00fce38d298c8af78266b621f56729dc"
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           "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/artifacts/docs/data/website_integrity.json",
           "exists": true,
-          "bytes": 5432,
-          "sha256": "51212ffc0d43f28102bacea4737de2bd00fce38d298c8af78266b621f56729dc"
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           "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/model/metrics/website_integrity.json",
           "exists": true,
-          "bytes": 5432,
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@@ -431,33 +431,33 @@
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-        "sha256": "782835d341c4d7af60518b0d0d1087ab0f93892e0e90a12d88dba712e42cfd41"
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+        "sha256": "7ffca73ef3cb775dfd8b0563e943502421eac55989b3c6dd05101e7f070a3bdf"
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-          "bytes": 2351084,
-          "sha256": "782835d341c4d7af60518b0d0d1087ab0f93892e0e90a12d88dba712e42cfd41"
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         "hf_artifacts_docs": {
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-          "bytes": 2351084,
-          "sha256": "782835d341c4d7af60518b0d0d1087ab0f93892e0e90a12d88dba712e42cfd41"
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         "hf_artifacts_card": {
           "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/artifacts/assets/task_suite_infographic.png",
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-          "bytes": 2351084,
-          "sha256": "782835d341c4d7af60518b0d0d1087ab0f93892e0e90a12d88dba712e42cfd41"
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           "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/model/assets/task_suite_infographic.png",
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-          "bytes": 2351084,
-          "sha256": "782835d341c4d7af60518b0d0d1087ab0f93892e0e90a12d88dba712e42cfd41"
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@@ -901,21 +901,21 @@
       "local": {
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-        "bytes": 10170,
-        "sha256": "f2c4e205daf0db83b37619eed0c94b8e3bfbce362114b38fbbec6e811d029403"
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+        "sha256": "07ee4dc0c824443e09930af87da9cb4d9ed5990fcbfbc5c0b607cefbb91cd055"
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       "mirrors": {
         "hf_artifacts": {
           "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/artifacts/scripts/validate_website_integrity.py",
           "exists": true,
-          "bytes": 10170,
-          "sha256": "f2c4e205daf0db83b37619eed0c94b8e3bfbce362114b38fbbec6e811d029403"
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-          "sha256": "f2c4e205daf0db83b37619eed0c94b8e3bfbce362114b38fbbec6e811d029403"
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+          "sha256": "07ee4dc0c824443e09930af87da9cb4d9ed5990fcbfbc5c0b607cefbb91cd055"
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       "failures": []

metrics/publication_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-01T04:23:05+00:00",
+  "generated_at_utc": "2026-06-01T04:49:16+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",
@@ -94,7 +94,7 @@
       "text_file_count": 38,
       "largest_file": {
         "path": "assets/task_suite_infographic.png",
-        "bytes": 2351084
+        "bytes": 2331622
       },
       "violations": []
     },

metrics/scope_claims_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-01T04:22:46+00:00",
+  "generated_at_utc": "2026-06-01T04:43:33+00:00",
   "summary": {
     "qwen3_omni_32_episode_claim": false,
     "dataset_manifest_num_episodes": 1,

metrics/website_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-01T04:22:54+00:00",
+  "generated_at_utc": "2026-06-01T04:48:47+00:00",
   "docs_root": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/working_repo_copy/docs",
   "site_base": "/ropedia-xperience-10m-task-suite/",
   "summary": {
@@ -16,8 +16,24 @@
     "missing_anchors": [],
     "duplicate_ids": [],
     "invalid_json": [],
-    "invalid_images": []
+    "invalid_images": [],
+    "semantic_layout": []
   },
+  "semantic_checks": [
+    {
+      "name": "suite_task_map_precedes_modality_atlas",
+      "status": "pass",
+      "reason": "The Suite anchor should show the full 12-task map before the modality atlas.",
+      "first_marker_index": 380,
+      "second_marker_index": 669
+    },
+    {
+      "name": "suite_modality_atlas_contains_seven_cards",
+      "status": "pass",
+      "reason": "The modality atlas should expose seven sample modalities.",
+      "card_count": 7
+    }
+  ],
   "html_pages": [
     {
       "path": "404.html",
@@ -27,7 +43,7 @@
     },
     {
       "path": "index.html",
-      "id_count": 30,
+      "id_count": 31,
       "reference_count": 56,
       "image_count": 20
     }
@@ -100,7 +116,7 @@
     },
     {
       "path": "data/website_integrity.json",
-      "bytes": 5432,
+      "bytes": 5936,
       "top_level_type": "dict"
     }
   ],
@@ -236,7 +252,7 @@
     {
       "path": "assets/task_suite_infographic.png",
       "exists": true,
-      "bytes": 2351084,
+      "bytes": 2331622,
       "width": 1800,
       "height": 5700,
       "format": "PNG"

scripts/render_task_suite_infographic.py

@@ -1019,12 +1019,6 @@ def build_html(summary: dict, base_image: Path | None, sample_dir: Path | None)
       <div class="stats">{stats_html}</div>
     </header>
 
-    <div class="section-label">
-      <span>Xperience-10M modalities</span>
-      <span>Public-sample thumbnails are enlarged here so each data stream is legible. Audio is present in the sample MP4 stream; the current 8,378-d baseline manifest does not featurize it.</span>
-    </div>
-    <section class="modalities">{modalities_html}</section>
-
     <section class="shared-band" aria-label="shared processing contract">
       <div class="step"><strong>raw public episode</strong><span>video, audio, depth, pose, mocap, IMU, language</span></div>
       <div class="arrow">-></div>
@@ -1035,8 +1029,18 @@ def build_html(summary: dict, base_image: Path | None, sample_dir: Path | None)
       <div class="step"><strong>12 minimal + NN heads</strong><span>softmax/ridge/logistic plus PyTorch MLP</span></div>
     </section>
 
+    <div class="section-label">
+      <span>12 task families</span>
+      <span>Every task below has a minimal baseline and a neural MLP head over the same aligned window contract, so the figure prioritizes task design before visual decoration.</span>
+    </div>
     <section class="families">{''.join(families)}</section>
 
+    <div class="section-label">
+      <span>Xperience-10M modalities</span>
+      <span>Public-sample thumbnails are enlarged here so each data stream is legible. Audio is present in the sample MP4 stream; the current 8,378-d baseline manifest does not featurize it.</span>
+    </div>
+    <section class="modalities">{modalities_html}</section>
+
     <footer class="footer">
       <span>Single public sample episode: useful for pipeline validation and task design, not cross-episode generalization.</span>
       <code>results/episode_task_suite/summary_report.json</code>

scripts/validate_website_integrity.py

@@ -222,12 +222,49 @@ def validate(docs_root: Path, site_base: str) -> dict:
     ]
     duplicate_id_records = [item for item in duplicate_id_records if item["duplicates"]]
 
+    semantic_checks = []
+    semantic_layout_failures = []
+    index_path = docs_root / "index.html"
+    index_text = index_path.read_text(encoding="utf-8", errors="ignore") if index_path.exists() else ""
+    suite_start = index_text.find('<section id="suite">')
+    suite_end = index_text.find('<section id="pipeline">')
+    suite_text = index_text[suite_start:suite_end] if suite_start >= 0 and suite_end > suite_start else ""
+    semantic_rules = [
+        (
+            "suite_task_map_precedes_modality_atlas",
+            '<div class="figure-pan" id="task-suite-map">',
+            '<div class="modality-atlas-panel"',
+            "The Suite anchor should show the full 12-task map before the modality atlas.",
+        ),
+        (
+            "suite_modality_atlas_contains_seven_cards",
+            'class="atlas-card',
+            None,
+            "The modality atlas should expose seven sample modalities.",
+        ),
+    ]
+    for name, marker, after_marker, reason in semantic_rules:
+        if name == "suite_modality_atlas_contains_seven_cards":
+            card_count = len(re.findall(r'class="atlas-card(?:\s|")', suite_text))
+            passed = card_count == 7
+            detail = {"card_count": card_count}
+        else:
+            marker_pos = suite_text.find(marker)
+            after_pos = suite_text.find(after_marker or "")
+            passed = marker_pos >= 0 and after_pos >= 0 and marker_pos < after_pos
+            detail = {"first_marker_index": marker_pos, "second_marker_index": after_pos}
+        check = {"name": name, "status": "pass" if passed else "fail", "reason": reason, **detail}
+        semantic_checks.append(check)
+        if not passed:
+            semantic_layout_failures.append(check)
+
     failures = {
         "missing_targets": missing_targets,
         "missing_anchors": missing_anchors,
         "duplicate_ids": duplicate_id_records,
         "invalid_json": invalid_json,
         "invalid_images": invalid_images,
+        "semantic_layout": semantic_layout_failures,
     }
     failure_count = sum(len(items) for items in failures.values())
 
@@ -245,6 +282,7 @@ def validate(docs_root: Path, site_base: str) -> dict:
             "failure_count": failure_count,
         },
         "failures": failures,
+        "semantic_checks": semantic_checks,
         "html_pages": [
             {
                 "path": relative(path, docs_root),