Publish Ropedia Xperience-10M derived artifacts

ARTIFACT_GUIDE.md

@@ -24,7 +24,7 @@ The project intentionally separates four layers:
 | [`EVIDENCE_CONTRACT.md`](EVIDENCE_CONTRACT.md) | Defines which claims are verified and which are explicitly not claimed. |
 | [`REPRODUCIBILITY.md`](REPRODUCIBILITY.md) | Defines public reproduction commands, expected outputs, and unreproducible boundaries. |
 | [`docs/data/artifact_index.json`](docs/data/artifact_index.json) | Lists reviewer-critical files with existence, size, and stable hashes. |
-| [`docs/data/mirror_parity.json`](docs/data/mirror_parity.json) | Confirms prepared HF Space, artifact, and model mirrors match the repo for critical files. |
+| [`docs/data/mirror_parity.json`](docs/data/mirror_parity.json) | Confirms prepared HF Space, artifact, and model mirrors match the repo for critical data, figures, website HTML, and validator scripts. |
 | [`docs/data/publication_audit.json`](docs/data/publication_audit.json) | Confirms public bundles exclude raw data, Python caches, heavy archives, and token strings. |
 | [`docs/data/scope_claims_audit.json`](docs/data/scope_claims_audit.json) | Confirms historical `32ep` smoke-run identifiers are not presented as real 32-episode results. |
 | [`docs/data/website_integrity.json`](docs/data/website_integrity.json) | Confirms local site links, anchors, JSON bundles, and referenced images resolve. |

EVIDENCE_CONTRACT.md

@@ -15,7 +15,7 @@ local artifact that a reader can inspect before trusting the dashboard.
 | Qwen3-Omni infrastructure has passed technical smoke checks. | `results/omni_finetune/RUN_REPORT.md`, `results/omni_finetune/dataset_manifest.json`, `results/omni_finetune/metrics_eval.json` | Smoke-only evidence | One episode, 128 train windows; not a 32-episode pilot |
 | The real 32-episode LoRA pilot is blocked on gated data access, not on repo presentation. | `results/omni_finetune/DATA_BLOCKER_REPORT.md`, `results/omni_finetune/A100_HF_RELAY_STATUS.md`, `results/omni_finetune/source_discovery.json` | Blocker documented | No 32-episode metric should be claimed until the gate passes |
 | Historical `32ep` path strings are not treated as 32-episode results. | `scripts/validate_scope_claims.py`, `docs/data/scope_claims_audit.json` | Verified pass | Classifies old run/path identifiers and fails if public presentation claims real 32-episode metrics |
-| Prepared GitHub/Hugging Face mirrors carry matching critical files. | `scripts/validate_mirror_parity.py`, `docs/data/mirror_parity.json` | Verified pass | Compares prepared Space, artifact dataset, and model bundles before upload; live URLs are checked after publishing |
+| Prepared GitHub/Hugging Face mirrors carry matching critical files. | `scripts/validate_mirror_parity.py`, `docs/data/mirror_parity.json` | Verified pass | Compares prepared data files, visual assets, website HTML, and validator scripts before upload; live URLs are checked after publishing |
 | The public GitHub and Hugging Face bundles are publication-clean. | `scripts/validate_publication_package.py`, `docs/data/publication_audit.json` | Verified pass | Checks public files and HF bundles, not arbitrary ignored local scratch outputs |
 | The public website has checked local references. | `scripts/validate_website_integrity.py`, `docs/data/website_integrity.json` | Verified pass | Checks local links, anchors, JSON data, and referenced images; external URLs are not fetched |
 | The core proof artifacts are indexed and grouped for fast review. | `ARTIFACT_GUIDE.md`, `scripts/build_artifact_index.py`, `docs/data/artifact_index.json` | Verified guide and index | Selective source-of-truth catalog, not a complete inventory of every output file |
@@ -43,7 +43,8 @@ local artifact that a reader can inspect before trusting the dashboard.
 8. Inspect `docs/data/scope_claims_audit.json` before interpreting historical
    `32ep` strings in Qwen3-Omni smoke artifacts.
 9. Inspect `docs/data/mirror_parity.json` before assuming the GitHub and
-   Hugging Face mirrors contain the same critical files.
+   Hugging Face mirrors contain the same critical data, visual, HTML, and
+   validator files.
 10. Inspect `results/omni_finetune/DATA_BLOCKER_REPORT.md` before interpreting
    any Qwen3-Omni artifact.
 11. Inspect `docs/data/publication_audit.json` and

PROJECT_README.md

@@ -43,7 +43,7 @@ This repo is organized around an explicit proof boundary:
 | Research directions | `research_direction_taxonomy.json`, extension probe results | direct/proxy/diagnostic evidence, not full solutions |
 | Qwen3-Omni | `results/omni_finetune/DATA_BLOCKER_REPORT.md`, `A100_HF_RELAY_STATUS.md` | smoke-only until 32 valid episodes are available |
 | Scope claims guard | `scripts/validate_scope_claims.py`, `docs/data/scope_claims_audit.json` | historical `32ep` path strings are provenance, not 32-episode results |
-| Mirror parity | `scripts/validate_mirror_parity.py`, `docs/data/mirror_parity.json` | prepared GitHub/HF mirrors carry matching data, figure, and validator files |
+| Mirror parity | `scripts/validate_mirror_parity.py`, `docs/data/mirror_parity.json` | prepared GitHub/HF mirrors carry matching data, figure, website HTML, and validator files |
 | Publication hygiene | `scripts/validate_publication_package.py`, `docs/data/publication_audit.json` | public repo and HF bundles only; ignored local scratch files are excluded |
 | Artifact index | `scripts/build_artifact_index.py`, `docs/data/artifact_index.json` | selective source-of-truth catalog with existence, size, and stable-file hashes |
 | Citation and metadata | `CITATION.cff`, `codemeta.json`, `docs/data/project_manifest.json`, `LICENSE` | code is MIT-scoped; raw-data use follows Xperience-10M terms |
@@ -163,11 +163,12 @@ The code files are MIT-licensed. Raw Xperience-10M data is not redistributed
 here, and dataset use remains governed by the official Ropedia/Xperience-10M
 terms. See [`LICENSE`](LICENSE) and [`DATA_NOTICE.md`](DATA_NOTICE.md).
 
-![ChatGPT-image-backed Ropedia Xperience-10M 12-task infographic](docs/assets/task_suite_infographic.png?v=xperience10m-modalities-v9-large-atlas)
+![ChatGPT-image-backed Ropedia Xperience-10M 12-task infographic](docs/assets/task_suite_infographic.png?v=xperience10m-taskfirst-v10)
 
-The infographic uses a ChatGPT-image-generated text-free research background and
-larger modality-atlas thumbnails extracted from the public sample episode. The
-task names, input/output summaries, and metrics are overlaid from
+The infographic uses a ChatGPT-image-generated text-free research background,
+but now puts the shared processing contract and all 12 task families before the
+modality atlas. Public-sample modality thumbnails remain enlarged below the
+task map. The task names, input/output summaries, and metrics are overlaid from
 [`results/episode_task_suite/summary_report.json`](results/episode_task_suite/summary_report.json)
 with [`scripts/render_task_suite_infographic.py`](scripts/render_task_suite_infographic.py),
 so the published PNG is a presentation graphic with verified labels and metrics,

README.md

@@ -26,14 +26,15 @@ size_categories:
 
 This dataset repo contains the derived evidence layer for the public Xperience-10M sample episode released by Ropedia: metrics, predictions, manifests, charts, diagrams, notes, reproduction scripts, and the small neural MLP task-head artifacts.
 
-![12-task infographic](assets/task_suite_infographic.png?v=xperience10m-modalities-v9-large-atlas)
+![12-task infographic](assets/task_suite_infographic.png?v=xperience10m-taskfirst-v10)
 
 The dashboard assets follow a Ropedia-inspired visual system: dark 4D-world
 canvas, lime-green accents, point-cloud texture, thin green cards, and
 research-grade typography, while all labels and metrics are script-generated
 from committed result files.
 
-The Space also includes a native responsive modality atlas backed by
+The Space starts with a task-first 12-task map, then includes a native
+responsive modality atlas backed by
 `docs/data/modality_atlas.json` and `docs/assets/modalities/`, so each
 public-sample stream remains readable on mobile without shipping raw videos or
 annotations.
@@ -76,7 +77,7 @@ Source-of-truth artifact index: `docs/data/artifact_index.json`.
 | Research directions | `research_direction_taxonomy.json`, extension probe results | direct/proxy/diagnostic evidence, not full solutions |
 | Qwen3-Omni | `DATA_BLOCKER_REPORT.md`, `A100_HF_RELAY_STATUS.md` | smoke-only until 32 valid episodes are available |
 | Scope claims guard | `docs/data/scope_claims_audit.json`, `scripts/validate_scope_claims.py` | historical `32ep` path strings are provenance, not 32-episode results |
-| Mirror parity | `docs/data/mirror_parity.json`, `scripts/validate_mirror_parity.py` | prepared repo/HF mirrors carry matching critical files |
+| Mirror parity | `docs/data/mirror_parity.json`, `scripts/validate_mirror_parity.py` | prepared repo/HF mirrors carry matching critical data, figures, website HTML, and validator files |
 | Publication hygiene | `docs/data/publication_audit.json`, `scripts/validate_publication_package.py` | public files and HF bundles only |
 | Website integrity | `docs/data/website_integrity.json`, `scripts/validate_website_integrity.py` | local links, anchors, JSON bundles, and referenced images only |
 | Artifact index | `docs/data/artifact_index.json`, `scripts/build_artifact_index.py` | compact proof-artifact catalog with stable hashes |
@@ -90,12 +91,12 @@ Source-of-truth artifact index: `docs/data/artifact_index.json`.
 - `results/**/*.csv`: predictions, confusion matrices, per-class metrics, windows, boundaries
 - `results/**/history.json`: neural MLP training traces
 - `docs/assets/*.svg` and `docs/assets/*.png`: generated diagrams, charts, and ChatGPT-image-backed overview figures
-- `docs/assets/task_suite_infographic.png`: ChatGPT-image-backed infographic with larger public-sample modality atlas thumbnails, including audio waveform context, and verified metric overlays
+- `docs/assets/task_suite_infographic.png`: ChatGPT-image-backed infographic with the shared processing contract, all 12 task families, verified metric overlays, and enlarged public-sample modality thumbnails below the task map
 - `docs/assets/modalities/` and `docs/data/modality_atlas.json`: small derived sample thumbnails and metadata for the responsive modality atlas
 - `docs/data/summary_metrics.json`: dashboard-readable summary bundle
 - `docs/data/evidence_contract.json`: machine-readable proof boundary
 - `docs/data/artifact_index.json`: source-of-truth proof-artifact catalog with stable-file hashes
-- `docs/data/mirror_parity.json`: prepared Space/artifact/model mirror parity check
+- `docs/data/mirror_parity.json`: prepared Space/artifact/model mirror parity check, including critical website HTML
 - `docs/data/scope_claims_audit.json`: machine-readable guard against overclaiming historical `32ep` smoke-run identifiers
 - `docs/data/publication_audit.json`: machine-readable publication hygiene check
 - `docs/data/website_integrity.json`: machine-readable website local-reference integrity check

docs/data/artifact_index.json

@@ -1,6 +1,6 @@
 {
   "title": "Ropedia Xperience-10M Task Suite Artifact Index",
-  "generated_at_utc": "2026-06-01T04:49:01+00:00",
+  "generated_at_utc": "2026-06-01T05:07:04+00:00",
   "status": "pass",
   "artifact_count": 29,
   "missing": [],
@@ -35,8 +35,8 @@
       "surface": "repo",
       "proves": "Defines what is verified, what is smoke-only, and what must not be inferred.",
       "exists": true,
-      "bytes": 6440,
-      "sha256": "a89e2316e19ebacbb1150879c070279f8f6f659030a945fc398eb08280c60cc0"
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     },
     {
       "id": "reviewer_packet",
@@ -57,8 +57,8 @@
       "surface": "repo_hf",
       "proves": "Gives the human-readable map from proof boundary to data, tasks, platform mirrors, and scale-up status.",
       "exists": true,
-      "bytes": 6438,
-      "sha256": "01d2e37bf25a5884e116ba7de80cc460d69523c563e540a650646a58e365713f"
+      "bytes": 6483,
+      "sha256": "cc211ec1175eed43bc5d8c9ce1ec412982524af1998316b392e77e5d7ddc99ee"
     },
     {
       "id": "reproducibility_contract",
@@ -90,8 +90,8 @@
       "surface": "repo_hf",
       "proves": "Generates the selective proof-artifact catalog from local files.",
       "exists": true,
-      "bytes": 11565,
-      "sha256": "d57875b1e42a58c02aa2f7da481f7b2190b82414113827883dd8b332c33552f3"
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     },
     {
       "id": "publication_audit",
@@ -124,7 +124,7 @@
       "kind": "mirror_parity",
       "surface": "website_hf",
       "volatile": true,
-      "proves": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, and validator files.",
+      "proves": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
       "exists": true,
       "bytes": 41465,
       "hash_policy": "existence_and_size_only"

docs/data/evidence_contract.json

@@ -110,7 +110,7 @@
     },
     {
       "id": "mirror_parity",
-      "claim": "Prepared GitHub and Hugging Face mirrors carry matching critical files.",
+      "claim": "Prepared GitHub and Hugging Face mirrors carry matching critical data, visual, HTML, and validator files.",
       "status": "verified",
       "evidence": [
         "scripts/validate_mirror_parity.py",

docs/data/mirror_parity.json

@@ -1,9 +1,9 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-01T04:49:44+00:00",
+  "generated_at_utc": "2026-06-01T05:08:43+00:00",
   "hf_root": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish",
   "summary": {
-    "group_count": 28,
+    "group_count": 29,
     "failure_count": 0,
     "failures_by_surface": {}
   },
@@ -19,6 +19,10 @@
     {
       "name": "repo_hf_validator_script_parity",
       "status": "pass"
+    },
+    {
+      "name": "repo_hf_website_html_parity",
+      "status": "pass"
     }
   ],
   "groups": [
@@ -28,27 +32,27 @@
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-        "sha256": "0a6fb26c150942a0807fc38a092bc85f8dd63cc96943d6c2fb8a1df2d727b7ed"
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-          "sha256": "0a6fb26c150942a0807fc38a092bc85f8dd63cc96943d6c2fb8a1df2d727b7ed"
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           "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/artifacts/docs/data/artifact_index.json",
           "exists": true,
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-          "sha256": "0a6fb26c150942a0807fc38a092bc85f8dd63cc96943d6c2fb8a1df2d727b7ed"
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           "exists": true,
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-          "sha256": "0a6fb26c150942a0807fc38a092bc85f8dd63cc96943d6c2fb8a1df2d727b7ed"
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@@ -59,27 +63,27 @@
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         "exists": true,
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-        "sha256": "7be0e996d5acec81b26eba19919ff92f951241c22189086c484b055c7f988bed"
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           "exists": true,
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           "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/artifacts/docs/data/evidence_contract.json",
           "exists": true,
-          "bytes": 7148,
-          "sha256": "7be0e996d5acec81b26eba19919ff92f951241c22189086c484b055c7f988bed"
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+          "sha256": "42a75b0f87eec02dd5b5fedffe6eb3d0cdc8d9f12156887680686f1900ac2bfa"
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           "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/model/metrics/evidence_contract.json",
           "exists": true,
-          "bytes": 7148,
-          "sha256": "7be0e996d5acec81b26eba19919ff92f951241c22189086c484b055c7f988bed"
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@@ -152,27 +156,27 @@
       "local": {
         "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/working_repo_copy/docs/data/publication_audit.json",
         "exists": true,
-        "bytes": 4105,
-        "sha256": "ce4addc653c34287da1f529f526362fb791ad2a07d0e6610f617c4c8e1cf9597"
+        "bytes": 4214,
+        "sha256": "3d1a2d861c96d445541519494abfcfca1da13cb593094a8c660ad40a036ab218"
       },
       "mirrors": {
         "hf_space": {
           "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/space/data/publication_audit.json",
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-          "bytes": 4105,
-          "sha256": "ce4addc653c34287da1f529f526362fb791ad2a07d0e6610f617c4c8e1cf9597"
+          "bytes": 4214,
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         "hf_artifacts": {
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-          "bytes": 4105,
-          "sha256": "ce4addc653c34287da1f529f526362fb791ad2a07d0e6610f617c4c8e1cf9597"
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@@ -308,26 +312,26 @@
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         "bytes": 19964,
-        "sha256": "a1a90b04b8bd11e751a34a9ca27676dbe543b6a3bf2454807abf861a91ce33b4"
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           "bytes": 19964,
-          "sha256": "a1a90b04b8bd11e751a34a9ca27676dbe543b6a3bf2454807abf861a91ce33b4"
+          "sha256": "5520aa2b2c41ed9394283e8bf08be0ec1926b2851a952ba8a8a56a1f85a058eb"
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           "exists": true,
           "bytes": 19964,
-          "sha256": "a1a90b04b8bd11e751a34a9ca27676dbe543b6a3bf2454807abf861a91ce33b4"
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-          "sha256": "a1a90b04b8bd11e751a34a9ca27676dbe543b6a3bf2454807abf861a91ce33b4"
+          "sha256": "5520aa2b2c41ed9394283e8bf08be0ec1926b2851a952ba8a8a56a1f85a058eb"
         }
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@@ -401,26 +405,26 @@
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           "bytes": 5936,
-          "sha256": "0ba08b7d03c5513520d2900d57cd383f24e228a5d9d55b6a89e8d3419594c55f"
+          "sha256": "b9c324a59e447a11bc6aeb5130736788981b9a1b529a80c988378e3f05f924b1"
         },
         "hf_model": {
           "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/model/metrics/website_integrity.json",
           "exists": true,
           "bytes": 5936,
-          "sha256": "0ba08b7d03c5513520d2900d57cd383f24e228a5d9d55b6a89e8d3419594c55f"
+          "sha256": "b9c324a59e447a11bc6aeb5130736788981b9a1b529a80c988378e3f05f924b1"
         }
       },
       "failures": []
@@ -801,21 +805,21 @@
       "local": {
         "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/working_repo_copy/scripts/build_artifact_index.py",
         "exists": true,
-        "bytes": 11565,
-        "sha256": "d57875b1e42a58c02aa2f7da481f7b2190b82414113827883dd8b332c33552f3"
+        "bytes": 11579,
+        "sha256": "874a3813fb3a19d79be9ea4c0177f5922adf9e667760f927dd49163784eb6b48"
       },
       "mirrors": {
         "hf_artifacts": {
           "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/artifacts/scripts/build_artifact_index.py",
           "exists": true,
-          "bytes": 11565,
-          "sha256": "d57875b1e42a58c02aa2f7da481f7b2190b82414113827883dd8b332c33552f3"
+          "bytes": 11579,
+          "sha256": "874a3813fb3a19d79be9ea4c0177f5922adf9e667760f927dd49163784eb6b48"
         },
         "hf_model": {
           "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/model/scripts/build_artifact_index.py",
           "exists": true,
-          "bytes": 11565,
-          "sha256": "d57875b1e42a58c02aa2f7da481f7b2190b82414113827883dd8b332c33552f3"
+          "bytes": 11579,
+          "sha256": "874a3813fb3a19d79be9ea4c0177f5922adf9e667760f927dd49163784eb6b48"
         }
       },
       "failures": []
@@ -826,21 +830,21 @@
       "local": {
         "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/working_repo_copy/scripts/validate_mirror_parity.py",
         "exists": true,
-        "bytes": 6971,
-        "sha256": "d0e0a1514a6c8548120f8bcb68827a648252a198197acab9186b72725fe9d39b"
+        "bytes": 7617,
+        "sha256": "0a74954e50fbf7bff661c9499244fc9be704764b701431fc2035ab4cc29d43d0"
       },
       "mirrors": {
         "hf_artifacts": {
           "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/artifacts/scripts/validate_mirror_parity.py",
           "exists": true,
-          "bytes": 6971,
-          "sha256": "d0e0a1514a6c8548120f8bcb68827a648252a198197acab9186b72725fe9d39b"
+          "bytes": 7617,
+          "sha256": "0a74954e50fbf7bff661c9499244fc9be704764b701431fc2035ab4cc29d43d0"
         },
         "hf_model": {
           "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/model/scripts/validate_mirror_parity.py",
           "exists": true,
-          "bytes": 6971,
-          "sha256": "d0e0a1514a6c8548120f8bcb68827a648252a198197acab9186b72725fe9d39b"
+          "bytes": 7617,
+          "sha256": "0a74954e50fbf7bff661c9499244fc9be704764b701431fc2035ab4cc29d43d0"
         }
       },
       "failures": []
@@ -851,21 +855,21 @@
       "local": {
         "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/working_repo_copy/scripts/validate_publication_package.py",
         "exists": true,
-        "bytes": 8960,
-        "sha256": "129e1276a60abe1330de5190622097a0e19198d133d434425317123f0a390c82"
+        "bytes": 9772,
+        "sha256": "1a915bdd68a6c63941339282a8f747e4cafa08c24e5cdb3dbe105bf6ac3ea144"
       },
       "mirrors": {
         "hf_artifacts": {
           "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/artifacts/scripts/validate_publication_package.py",
           "exists": true,
-          "bytes": 8960,
-          "sha256": "129e1276a60abe1330de5190622097a0e19198d133d434425317123f0a390c82"
+          "bytes": 9772,
+          "sha256": "1a915bdd68a6c63941339282a8f747e4cafa08c24e5cdb3dbe105bf6ac3ea144"
         },
         "hf_model": {
           "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/model/scripts/validate_publication_package.py",
           "exists": true,
-          "bytes": 8960,
-          "sha256": "129e1276a60abe1330de5190622097a0e19198d133d434425317123f0a390c82"
+          "bytes": 9772,
+          "sha256": "1a915bdd68a6c63941339282a8f747e4cafa08c24e5cdb3dbe105bf6ac3ea144"
         }
       },
       "failures": []
@@ -919,6 +923,31 @@
         }
       },
       "failures": []
+    },
+    {
+      "name": "website/index.html",
+      "status": "pass",
+      "local": {
+        "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/working_repo_copy/docs/index.html",
+        "exists": true,
+        "bytes": 89653,
+        "sha256": "f4d2b412d24bb29e977e8b82bb531fdb352cc7a1b81a2141ac63a0328bab654b"
+      },
+      "mirrors": {
+        "hf_space": {
+          "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/space/index.html",
+          "exists": true,
+          "bytes": 89653,
+          "sha256": "f4d2b412d24bb29e977e8b82bb531fdb352cc7a1b81a2141ac63a0328bab654b"
+        },
+        "hf_artifacts_docs": {
+          "path": "/Users/chaoyue/Documents/Codex/2026-05-29/i-am-learning-this-dataset-https/hf_publish/artifacts/docs/index.html",
+          "exists": true,
+          "bytes": 89653,
+          "sha256": "f4d2b412d24bb29e977e8b82bb531fdb352cc7a1b81a2141ac63a0328bab654b"
+        }
+      },
+      "failures": []
     }
   ],
   "failures": []

docs/data/publication_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-01T04:49:16+00:00",
+  "generated_at_utc": "2026-06-01T05:07:53+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",
@@ -26,6 +26,11 @@
       "name": "no_hf_tokens_in_public_text",
       "status": "pass",
       "count": 0
+    },
+    {
+      "name": "no_stale_task_suite_presentation_copy",
+      "status": "pass",
+      "count": 0
     }
   ],
   "required_assets": {

docs/data/scope_claims_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-01T04:43:33+00:00",
+  "generated_at_utc": "2026-06-01T05:06:13+00:00",
   "summary": {
     "qwen3_omni_32_episode_claim": false,
     "dataset_manifest_num_episodes": 1,

docs/data/website_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-01T04:48:47+00:00",
+  "generated_at_utc": "2026-06-01T05:06:42+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": {
@@ -56,7 +56,7 @@
     },
     {
       "path": "data/evidence_contract.json",
-      "bytes": 7148,
+      "bytes": 7182,
       "top_level_type": "dict"
     },
     {

docs/index.html

@@ -13,11 +13,11 @@
   <meta property="og:description" content="One public embodied-AI episode, converted into reproducible multimodal tasks, minimal baselines, neural MLP baselines, metrics, and diagrams.">
   <meta property="og:type" content="website">
   <meta property="og:url" content="https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/">
-  <meta property="og:image" content="https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/assets/task_suite_infographic.png?v=xperience10m-modalities-v9-large-atlas">
+  <meta property="og:image" content="https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/assets/task_suite_infographic.png?v=xperience10m-taskfirst-v10">
   <meta name="twitter:card" content="summary_large_image">
   <meta name="twitter:title" content="Ropedia Xperience-10M Task Suite">
   <meta name="twitter:description" content="Audit-first Xperience-10M multimodal task suite with minimal and neural baselines.">
-  <meta name="twitter:image" content="https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/assets/task_suite_infographic.png?v=xperience10m-modalities-v9-large-atlas">
+  <meta name="twitter:image" content="https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/assets/task_suite_infographic.png?v=xperience10m-taskfirst-v10">
   <script type="application/ld+json">
     {
       "@context": "https://schema.org",
@@ -342,8 +342,10 @@
       margin-top: 30px;
     }
     .figure-pan {
-      overflow: visible;
+      overflow-x: auto;
+      overflow-y: hidden;
       border-radius: var(--radius);
+      padding-bottom: 4px;
     }
     .figure-pan .task-suite-image {
       margin-bottom: 0;
@@ -963,9 +965,9 @@
         padding-inline: 0;
       }
       .figure-pan .task-suite-image {
-        width: 100%;
-        min-width: 0;
-        max-width: 100%;
+        width: 980px;
+        min-width: 980px;
+        max-width: none;
       }
     }
     @media (prefers-reduced-motion: reduce) {
@@ -1186,7 +1188,10 @@
       <div class="wrap">
         <div class="section-head">
           <h2>Ropedia Xperience-10M 12-task suite, first.</h2>
-          <p>Start with the large native modality atlas, then read the full 12-task map below it. Audio is present in the sample MP4 stream, but the current 8,378-d baseline manifest does not featurize it.</p>
+          <p>Start with the full 12-task map, then inspect the large native modality atlas below it. Audio is present in the sample MP4 stream, but the current 8,378-d baseline manifest does not featurize it.</p>
+        </div>
+        <div class="figure-pan" id="task-suite-map">
+          <img class="task-suite-image" src="assets/task_suite_infographic.png?v=xperience10m-taskfirst-v10" alt="ChatGPT-image-backed infographic showing all 12 Ropedia Xperience-10M tasks with enlarged modality cards">
         </div>
         <div class="modality-atlas-panel" id="modality-atlas" aria-labelledby="modality-atlas-title">
           <div class="atlas-head">
@@ -1235,9 +1240,6 @@
           </div>
           <p class="atlas-note">The atlas redistributes only small derived thumbnails and metadata. Raw MP4, HDF5, and RRD files remain excluded from this repo and the Hugging Face mirrors.</p>
         </div>
-        <div class="figure-pan">
-          <img class="task-suite-image" src="assets/task_suite_infographic.png?v=xperience10m-modalities-v9-large-atlas" alt="ChatGPT-image-backed infographic showing all 12 Ropedia Xperience-10M tasks with enlarged modality cards">
-        </div>
       </div>
     </section>
 
@@ -1500,7 +1502,7 @@
               <article class="artifact primary-artifact"><div><h3>Artifact guide</h3><p>Human-readable map from proof boundary to data contract, task evidence, platform mirrors, and scale-up status.</p></div><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/ARTIFACT_GUIDE.md">ARTIFACT_GUIDE.md</a></article>
               <article class="artifact"><h3>Evidence contract</h3><p>Defines verified, smoke-only, blocked, and out-of-scope claims.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/EVIDENCE_CONTRACT.md">EVIDENCE_CONTRACT.md</a></article>
               <article class="artifact"><h3>Artifact index</h3><p>Selective source-of-truth catalog with existence checks, sizes, and stable-file hashes.</p><a href="data/artifact_index.json">artifact_index.json</a></article>
-              <article class="artifact"><h3>Mirror parity</h3><p>Prepared repo, HF Space, artifact dataset, and model bundle parity for critical data, figure, and validator files.</p><a href="data/mirror_parity.json">mirror_parity.json</a></article>
+              <article class="artifact"><h3>Mirror parity</h3><p>Prepared repo, HF Space, artifact dataset, and model bundle parity for critical data, figures, website HTML, and validator files.</p><a href="data/mirror_parity.json">mirror_parity.json</a></article>
               <article class="artifact"><h3>Scope claims audit</h3><p>Machine check that historical <code>32ep</code> identifiers are provenance, not real 32-episode result claims.</p><a href="data/scope_claims_audit.json">scope_claims_audit.json</a></article>
               <article class="artifact"><h3>Publication audit</h3><p>Checks raw-data exclusion, cache exclusion, heavy-archive exclusion, and token-string hygiene.</p><a href="data/publication_audit.json">publication_audit.json</a></article>
               <article class="artifact"><h3>Website integrity</h3><p>Checks local links, anchors, JSON files, and referenced website image dimensions.</p><a href="data/website_integrity.json">website_integrity.json</a></article>

scripts/build_artifact_index.py

@@ -90,7 +90,7 @@ ARTIFACTS = [
         "kind": "mirror_parity",
         "surface": "website_hf",
         "volatile": True,
-        "proves": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, and validator files.",
+        "proves": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
     },
     {
         "id": "website_integrity",

scripts/validate_mirror_parity.py

@@ -56,6 +56,10 @@ SCRIPT_FILES = [
     "validate_website_integrity.py",
 ]
 
+WEBSITE_FILES = [
+    "index.html",
+]
+
 
 def sha256(path: Path) -> str:
     digest = hashlib.sha256()
@@ -150,6 +154,18 @@ def build_report(hf_root: Path) -> dict:
             )
         )
 
+    for filename in WEBSITE_FILES:
+        groups.append(
+            parity_group(
+                f"website/{filename}",
+                ROOT / "docs" / filename,
+                {
+                    "hf_space": hf_root / "space" / filename,
+                    "hf_artifacts_docs": hf_root / "artifacts/docs" / filename,
+                },
+            )
+        )
+
     failures = [
         {"group": group["name"], **failure}
         for group in groups
@@ -187,6 +203,12 @@ def build_report(hf_root: Path) -> dict:
                 if not any(failure["group"].startswith("scripts/") for failure in failures)
                 else "fail",
             },
+            {
+                "name": "repo_hf_website_html_parity",
+                "status": "pass"
+                if not any(failure["group"].startswith("website/") for failure in failures)
+                else "fail",
+            },
         ],
         "groups": groups,
         "failures": failures,

scripts/validate_publication_package.py

@@ -42,6 +42,10 @@ TEXT_SUFFIXES = {
     ".yml",
 }
 TOKEN_PATTERN = re.compile(r"hf_[A-Za-z0-9]{20,}")
+STALE_PRESENTATION_STRINGS = {
+    "xperience10m-" + "modalities-v9-large-atlas": "old task-suite infographic cache key",
+    "Start with the large native " + "modality atlas": "old suite-section hierarchy copy",
+}
 
 
 def rel(path: Path, base: Path) -> str:
@@ -114,6 +118,13 @@ def scan(root: Path, *, paths: list[Path] | None = None) -> dict:
                 continue
             if TOKEN_PATTERN.search(text):
                 violations.append({"kind": "possible_hf_token", "path": path_rel})
+            for needle, reason in STALE_PRESENTATION_STRINGS.items():
+                if needle in text:
+                    violations.append({
+                        "kind": "stale_presentation_copy",
+                        "path": path_rel,
+                        "detail": reason,
+                    })
 
     return {
         "root": str(root),
@@ -222,6 +233,11 @@ def build_report(hf_root: Path) -> dict:
             "status": "pass" if not any(v["kind"] == "possible_hf_token" for v in violations) else "fail",
             "count": sum(1 for v in violations if v["kind"] == "possible_hf_token"),
         },
+        {
+            "name": "no_stale_task_suite_presentation_copy",
+            "status": "pass" if not any(v["kind"] == "stale_presentation_copy" for v in violations) else "fail",
+            "count": sum(1 for v in violations if v["kind"] == "stale_presentation_copy"),
+        },
     ]
     status = "pass" if all(check["status"] == "pass" for check in checks) else "fail"
     return {