Add files using upload-large-folder tool

DATA_EXPLORER_ANALYSIS.md

@@ -1,8 +1,8 @@
 # Ropedia Xperience-10M Data Explorer Analysis
 
-Generated: 2026-06-23T09:35:08Z
+Generated: 2026-06-23T11:37:29Z
 
-This report summarizes three data scopes without mixing them: the official public sample episode, the selected 128-episode public-safe feature surface, and authenticated metadata for the full gated Hugging Face dataset.
+This report summarizes three data scopes without mixing them: the official public sample episode, the selected 128-episode public-safe feature surface, and authenticated metadata for the Hugging Face-hosted gated full dataset.
 
 ## Scope Summary
 
@@ -26,9 +26,10 @@ This report summarizes three data scopes without mixing them: the official publi
 - Qwen3-Omni v6 multiscale export: 34,269 rows.
 - Dense multiscale compact export: 106,095 rows.
 
-## Full Gated Dataset Metadata
+## Hugging Face Full Dataset Metadata
 
-- Repo: `ropedia-ai/xperience-10m` at `ce943cf271a758b60240084892d05cf6dc12dd90`.
+- Repo: Hugging Face gated dataset `ropedia-ai/xperience-10m` at `ce943cf271a758b60240084892d05cf6dc12dd90`.
+- Scope note: this is the HF-hosted full dataset version and file-listing metadata, not a local raw-data mirror.
 - 85,257 files excluding `.gitattributes`.
 - 12,102 complete episode folders (99.9917%).
 - 72,612 MP4 files and 12,103 `annotation.hdf5` files.
@@ -39,4 +40,4 @@ This report summarizes three data scopes without mixing them: the official publi
 - Public sample feature dimensions: `assets/charts/data_explorer_sample_feature_modalities.svg`
 - Public sample action distribution: `assets/charts/data_explorer_sample_action_distribution.svg`
 - Selected-128 split rows: `assets/charts/data_explorer_selected128_split_rows.svg`
-- Full dataset file composition: `assets/charts/data_explorer_full_file_composition.svg`
+- Hugging Face full dataset file composition: `assets/charts/data_explorer_full_file_composition.svg`

PROJECT_README.md

@@ -85,7 +85,7 @@ The multilingual README files are reader guides. The canonical technical evidenc
     </tr>
     <tr>
       <td><strong>Data explorer analysis</strong></td>
-      <td>A generated analysis layer separates the public sample, selected-128 feature exports, and authenticated full-dataset Hugging Face metadata with scope stats, split counts, modality breakdowns, and chart assets.</td>
+      <td>A generated analysis layer separates the public sample, selected-128 feature exports, and authenticated Hugging Face gated full-dataset metadata with scope stats, split counts, modality breakdowns, and chart assets.</td>
     </tr>
     <tr>
       <td><strong>180 method-task records</strong></td>
@@ -141,7 +141,7 @@ Reader rule: if it has a metric, it is a **task**; if it explains what the evide
 
 ## Data Explorer Analysis
 
-The data explorer is now a three-scope analysis layer, not only a raw-file browser. It compares the public sample episode, selected 128-episode feature exports, and the full gated upstream dataset metadata without mixing their evidence boundaries.
+The data explorer is now a three-scope analysis layer, not only a raw-file browser. It compares the public sample episode, selected 128-episode feature exports, and the Hugging Face-hosted gated full-dataset metadata without mixing their evidence boundaries.
 
 | Scope | Reader question | Current public analysis |
 | --- | --- | --- |
@@ -614,8 +614,10 @@ supporting materials rather than the main reading path. Use
 
 Source alignment is tracked in the [source-alignment note](SOURCE_ALIGNMENT_AUDIT.md)
 and [source-alignment data](docs/data/source_alignment_audit.json).
-The official gated `ropedia-ai/xperience-10m` card reports `31.9 TB` on the
-live HF surface and an `about-1PB` full-scale storage statement; the committed
+Whenever this repo says "full dataset," it refers to the Hugging Face-hosted
+gated dataset version at `ropedia-ai/xperience-10m`, not a local raw-data
+mirror. The official gated `ropedia-ai/xperience-10m` card reports `31.9 TB`
+on the live HF dataset surface and an `about-1PB` full-scale storage statement; the committed
 API-listing snapshot records `12,103 episode folders` as upstream `metadata only`,
 not a local raw-data inventory. In other words, those episode folders are
 upstream listing metadata only for this project. The public sample remains

PROJECT_STATUS.md

@@ -43,7 +43,7 @@ prior multiscale release, and v6 is the current public 20-task Qwen3-Omni row.
 | Omni model extension contract | Current | `OMNI_MODEL_EXTENSION_CONTRACT.md`, `configs/omni_backbones/`, `scripts/omni/backbone_registry.py`, `scripts/omni/smoke_test_backbone_packaging.py` | Future model rows/adapters must keep the same episode split discipline, held-out metrics, validation gate, public-safe package contract, and explicit forbidden-artifact policy before reporting results. |
 | Xperience Embodied Foundation Model | Future goal | `XPERIENCE_EMBODIED_FOUNDATION_MODEL_PRETRAINING.md` | A future full-corpus pretraining plan describes target modules, objectives, staged scale-up, hardware ranges, and evaluation for a domain-specific embodied foundation model. |
 | Evaluation protocol | Verified | `EVALUATION_PROTOCOL.md`, `docs/data/evaluation_protocol.json`, `scripts/build_evaluation_protocol.py` | Windowing, chronological split, per-task metrics, leakage controls, and current limitations are generated from committed metric artifacts. |
-| Dataset context | Verified | `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`, official Xperience-10M and sample cards | The README and dashboard distinguish the public sample used here from the gated full dataset used for the selected multi-episode pilot. |
+| Dataset context | Verified | `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`, official Xperience-10M and sample cards | The README and dashboard distinguish the public sample used here from the Hugging Face-hosted gated full dataset version used for the selected multi-episode pilot. |
 | Public dashboard and Hub pages | Verified | GitHub Pages, HF Space, artifact dataset, baseline model repo, Qwen3-Omni LoRA repo | Readers can move between the website, code, derived artifacts, baseline weights, and Qwen3-Omni pilot status without needing local infrastructure details. |
 | Public package policy | Verified | `DATA_NOTICE.md`, `REPRODUCIBILITY.md` | Raw Xperience-10M data, private gated files, large archives, credentials, and full Qwen weights are not redistributed. |
 | Reproducibility | Verified for the public sample | `REPRODUCIBILITY.md`, `docs/data/reproducibility_matrix.json`, `notes/reproducibility_audit.md` | The public sample workflow has explicit commands, expected outputs, and exact-match reproduction evidence. |

README.ja.md

@@ -64,7 +64,7 @@ Method blocks: Line 1 は task-head baselines（Minimal、Neural MLP）。Line 2
 | 20 タスクを見る | [20 タスクガイド](TASK_SUITE_20.md), [タスク契約データ](docs/data/task_suite_20.json) |
 | 結果を比較 | [研究結果まとめ](RESEARCH_TAKEAWAYS.md), [180 件の結果表](docs/data/task_method_20_result_matrix.json) |
 | 1 サンプルを調べる | [1 episode ブラウザ](https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/single_episode_explorer.html), [sample ファイルマップ](docs/data/raw_sample_files.json) |
-| sample / 128 / full dataset を比較 | [data explorer analysis](DATA_EXPLORER_ANALYSIS.md), [web analysis section](https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/#data-analysis) |
+| sample / 128 / HF full dataset を比較 | [data explorer analysis](DATA_EXPLORER_ANALYSIS.md), [web analysis section](https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/#data-analysis) |
 | 3 つの foundation pipeline を読む | [3 つの foundation pipeline](THREE_FOUNDATION_PIPELINES.md), [pipeline 契約データ](docs/data/three_foundation_pipelines.json) |
 | 再現・監査 | [再現ガイド](REPRODUCIBILITY.md), [証拠契約](EVIDENCE_CONTRACT.md) |
 
@@ -72,7 +72,7 @@ Method blocks: Line 1 は task-head baselines（Minimal、Neural MLP）。Line 2
 
 - 読み方のルール: metric があるものは 20 tasks、evidence が何を調べるかを説明するものは 4 research directions、training input/output を定義するものは 3 foundation pipelines です。perception、3D memory、language reasoning、action、planning を統合するものは unified embodied model target であり、新しい score axis ではありません。
 - データ: 20-frame window が video、audio、depth、pose/SLAM、mocap、IMU、calibration、language annotation を結びます。
-- データ探索: 新しい analysis layer は public sample、selected-128 exports、gated full dataset metadata を分けて提示します。
+- データ探索: 新しい analysis layer は public sample、selected-128 exports、Hugging Face gated full dataset metadata を分けて提示します。
 - タスク: 認識、予測、retrieval、reconstruction、order、sync、long-horizon、action-object、sensor bridge など 20 契約。
 - 結果: single-episode minimal/NN は 20/20。128-episode 側は metadata、raw feature、Qwen3、Cosmos を証拠タイプ別に分けます。公開 matrix は 180/180 scored records で、174 direct と 6 compact proxy を分離し、proxy targets は明示します。
 - 方向: spatial intelligence、human-video world model、vision-language-action に対して、タスク対応と必要証拠を記録しています。長期目標は unified embodied foundation model です。

README.ko.md

@@ -64,7 +64,7 @@
 | 20개 과제 확인 | [20개 과제 가이드](TASK_SUITE_20.md), [과제 계약 데이터](docs/data/task_suite_20.json) |
 | 결과 비교 | [연구 결과 요약](RESEARCH_TAKEAWAYS.md), [180개 결과 표](docs/data/task_method_20_result_matrix.json) |
 | 샘플 하나 검사 | [단일 episode 브라우저](https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/single_episode_explorer.html), [sample 파일 지도](docs/data/raw_sample_files.json) |
-| sample / 128 / full dataset 비교 | [data explorer analysis](DATA_EXPLORER_ANALYSIS.md), [web analysis section](https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/#data-analysis) |
+| sample / 128 / HF full dataset 비교 | [data explorer analysis](DATA_EXPLORER_ANALYSIS.md), [web analysis section](https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/#data-analysis) |
 | 세 foundation pipeline 읽기 | [세 foundation pipeline](THREE_FOUNDATION_PIPELINES.md), [pipeline 계약 데이터](docs/data/three_foundation_pipelines.json) |
 | 재현 및 감사 | [재현 가이드](REPRODUCIBILITY.md), [증거 계약](EVIDENCE_CONTRACT.md) |
 
@@ -72,7 +72,7 @@
 
 - 읽기 규칙: metric이 있으면 20개 task layer이고, evidence가 무엇을 연구하는지 설명하면 4개 research direction layer이며, model input/output과 training target을 설명하면 3개 foundation pipeline layer입니다. perception, 3D memory, language reasoning, action, planning을 합치는 것은 unified embodied model target이며 새 score axis가 아닙니다.
 - 데이터: 20-frame window가 video, audio, depth, pose/SLAM, mocap, IMU, calibration, language annotation을 연결합니다.
-- 데이터 탐색: 새 분석 레이어는 public sample, selected-128 exports, gated full dataset metadata를 분리해 보여줍니다.
+- 데이터 탐색: 새 분석 레이어는 public sample, selected-128 exports, Hugging Face gated full dataset metadata를 분리해 보여줍니다.
 - 과제: 인식, 예측, retrieval, reconstruction, order, sync, long-horizon, action-object binding, sensor bridge 등 20개 계약.
 - 결과: single-episode minimal/NN은 20/20; 128-episode 레이어는 metadata, raw feature, Qwen3, Cosmos를 증거 유형별로 분리합니다. 공개 matrix는 180/180 scored records이며 174 direct와 6 compact proxy를 분리하고 proxy targets를 명시합니다.
 - 방향: spatial intelligence, human-video world model, vision-language-action에 대해 과제 매핑과 필요한 증거를 기록합니다. 장기 목표는 unified embodied foundation model입니다.

README.md

@@ -107,7 +107,7 @@ The multilingual README files are reader guides. The canonical technical evidenc
     </tr>
     <tr>
       <td><strong>Data explorer analysis</strong></td>
-      <td>A generated analysis layer separates the public sample, selected-128 feature exports, and authenticated full-dataset Hugging Face metadata with scope stats, split counts, modality breakdowns, and chart assets.</td>
+      <td>A generated analysis layer separates the public sample, selected-128 feature exports, and authenticated Hugging Face gated full-dataset metadata with scope stats, split counts, modality breakdowns, and chart assets.</td>
     </tr>
     <tr>
       <td><strong>180 method-task records</strong></td>
@@ -163,7 +163,7 @@ Reader rule: if it has a metric, it is a **task**; if it explains what the evide
 
 ## Data Explorer Analysis
 
-The data explorer is now a three-scope analysis layer, not only a raw-file browser. It compares the public sample episode, selected 128-episode feature exports, and the full gated upstream dataset metadata without mixing their evidence boundaries.
+The data explorer is now a three-scope analysis layer, not only a raw-file browser. It compares the public sample episode, selected 128-episode feature exports, and the Hugging Face-hosted gated full-dataset metadata without mixing their evidence boundaries.
 
 | Scope | Reader question | Current public analysis |
 | --- | --- | --- |
@@ -636,8 +636,10 @@ supporting materials rather than the main reading path. Use
 
 Source alignment is tracked in the [source-alignment note](SOURCE_ALIGNMENT_AUDIT.md)
 and [source-alignment data](docs/data/source_alignment_audit.json).
-The official gated `ropedia-ai/xperience-10m` card reports `31.9 TB` on the
-live HF surface and an `about-1PB` full-scale storage statement; the committed
+Whenever this repo says "full dataset," it refers to the Hugging Face-hosted
+gated dataset version at `ropedia-ai/xperience-10m`, not a local raw-data
+mirror. The official gated `ropedia-ai/xperience-10m` card reports `31.9 TB`
+on the live HF dataset surface and an `about-1PB` full-scale storage statement; the committed
 API-listing snapshot records `12,103 episode folders` as upstream `metadata only`,
 not a local raw-data inventory. In other words, those episode folders are
 upstream listing metadata only for this project. The public sample remains

SOURCE_ALIGNMENT_AUDIT.md

@@ -9,7 +9,7 @@ Current status: **pass**
 
 | Layer | Current value |
 | --- | --- |
-| Full dataset repo | `ropedia-ai/xperience-10m` |
+| Full dataset repo | Hugging Face gated dataset `ropedia-ai/xperience-10m` |
 | Full dataset access | manual |
 | Live HF file-size display | 31.9 TB |
 | Full-scale storage statement | about 1 PB |
@@ -33,9 +33,9 @@ Current status: **pass**
 
 ## Current Project Scope
 
-- HF API file counts are source-listing metadata, not local data possession.
+- HF API file counts are source-listing metadata for the Hugging Face full dataset version, not local data possession.
 - The live HF 31.9 TB file-size display is recorded separately from the card's about-1PB full-scale storage statement.
-- The public sample license is preserved separately from the gated full dataset license field.
+- The public sample license is preserved separately from the Hugging Face gated full-dataset license field.
 - The official limited-diversity / showcase-quality disclaimer is preserved in the responsible-use notes.
 - Raw MP4, HDF5, RRD, private gated data, and full Qwen weights are not redistributed.
 - Current model evidence remains one public sample episode, not cross-episode generalization.

XPERIENCE10M_DATASET_CARD_ALIGNMENT.md

@@ -45,10 +45,11 @@ before approval. The API snapshot checked for this project reported:
 The API file listing is useful for planning, but it is not the same as local
 access. The public metadata snapshot listed 85,258 repository siblings, 803
 session folders, 12,103 episode folders with `annotation.hdf5`, 72,612 MP4
-files, and 541 `visualization.rrd` files. This repo treats those as upstream
-metadata only; no full-dataset files are redistributed here, and model results
-are reported only for the public sample episode and selected processed splits
-that this repo actually evaluates.
+files, and 541 `visualization.rrd` files from the Hugging Face-hosted gated
+dataset version. This repo treats those as upstream HF metadata only; no
+full-dataset files are redistributed here, and model results are reported only
+for the public sample episode and selected processed splits that this repo
+actually evaluates.
 
 ## Official Modalities
 
@@ -90,8 +91,8 @@ The public Hugging Face page/API currently shows a separate live hosted
 file-size display of 31.9 TB (`usedStorage` observed as 31,871,115,497,224
 bytes). This project keeps those concepts separate: the official card scale
 describes the full dataset design, the HF display describes the currently
-reported hosted file size, and this repo validates only the files that are
-actually available to the project.
+reported hosted file size for the Hugging Face dataset version, and this repo
+validates only the files that are actually available to the project.
 
 ## Public Sample Dataset Card
 
@@ -114,7 +115,7 @@ The sample card metadata observed for this project is:
 | visualization tool | Rerun 0.29.0 for `.rrd` |
 
 This project uses the public sample to build the 5,821-frame / 1,161-window
-task-development suite. The sample license and the full gated dataset terms are both
+task-development suite. The sample license and the Hugging Face gated full-dataset terms are both
 preserved in the public documentation; this repo's MIT code license does not
 grant additional rights to the raw data.
 
@@ -205,7 +206,7 @@ evaluation and safeguards.
 When describing Xperience-10M in this repo, keep these limitations visible:
 
 - one public sample episode cannot prove cross-environment generalization
-- full-dataset performance requires gated access, many episodes, and held-out episode splits
+- full-dataset performance requires Hugging Face gated access, many episodes, and held-out episode splits
 - motion capture, SLAM, depth, captions, and other annotations can contain noise
 - language annotations are not exhaustive descriptions of every scene state
 - large-scale training requires substantial storage, preprocessing, and compute

data/data_explorer_analysis.json

@@ -2,7 +2,7 @@
   "charts": [
     {
       "path": "assets/charts/data_explorer_scope_ladder.svg",
-      "question": "How do the public sample, selected 128 episodes, and full gated dataset differ in scale?",
+      "question": "How do the public sample, selected 128 episodes, and Hugging Face gated full dataset version differ in scale?",
       "title": "Scope ladder"
     },
     {
@@ -22,8 +22,8 @@
     },
     {
       "path": "assets/charts/data_explorer_full_file_composition.svg",
-      "question": "What file types dominate the gated full-dataset metadata?",
-      "title": "Full dataset file composition"
+      "question": "What file types dominate the Hugging Face gated full-dataset metadata?",
+      "title": "Hugging Face full dataset file composition"
     }
   ],
   "full_hf_dataset": {
@@ -154,7 +154,7 @@
       }
     ],
     "last_modified": "2026-04-21T05:03:45+00:00",
-    "metadata_note": "The official dataset is gated. These full-corpus figures use authenticated Hugging Face Hub file metadata only; they do not inspect private row content or redistribute raw MP4/HDF5/RRD files.",
+    "metadata_note": "The official dataset is gated on Hugging Face. These full-corpus figures use authenticated Hugging Face Hub file metadata for the HF-hosted dataset version only; they do not inspect private row content or redistribute raw MP4/HDF5/RRD files.",
     "pilot_scale_estimates": {
       "all_complete_episodes_windows_at_256_each": 3098112,
       "episode_100_windows_at_256_each": 25600,
@@ -196,7 +196,7 @@
       "6": 12102
     }
   },
-  "generated_at_utc": "2026-06-23T09:35:08Z",
+  "generated_at_utc": "2026-06-23T11:37:29Z",
   "public_sample": {
     "dataset": {
       "episode_id": "xperience-10m-sample",

data/quality_gates.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Release Checks",
   "status": "pass",
-  "generated_at_utc": "2026-06-23T11:06:09+00:00",
+  "generated_at_utc": "2026-06-23T11:46:41+00:00",
   "rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
   "automated_gates": [
     {

docs/data/data_explorer_analysis.json

@@ -2,7 +2,7 @@
   "charts": [
     {
       "path": "assets/charts/data_explorer_scope_ladder.svg",
-      "question": "How do the public sample, selected 128 episodes, and full gated dataset differ in scale?",
+      "question": "How do the public sample, selected 128 episodes, and Hugging Face gated full dataset version differ in scale?",
       "title": "Scope ladder"
     },
     {
@@ -22,8 +22,8 @@
     },
     {
       "path": "assets/charts/data_explorer_full_file_composition.svg",
-      "question": "What file types dominate the gated full-dataset metadata?",
-      "title": "Full dataset file composition"
+      "question": "What file types dominate the Hugging Face gated full-dataset metadata?",
+      "title": "Hugging Face full dataset file composition"
     }
   ],
   "full_hf_dataset": {
@@ -154,7 +154,7 @@
       }
     ],
     "last_modified": "2026-04-21T05:03:45+00:00",
-    "metadata_note": "The official dataset is gated. These full-corpus figures use authenticated Hugging Face Hub file metadata only; they do not inspect private row content or redistribute raw MP4/HDF5/RRD files.",
+    "metadata_note": "The official dataset is gated on Hugging Face. These full-corpus figures use authenticated Hugging Face Hub file metadata for the HF-hosted dataset version only; they do not inspect private row content or redistribute raw MP4/HDF5/RRD files.",
     "pilot_scale_estimates": {
       "all_complete_episodes_windows_at_256_each": 3098112,
       "episode_100_windows_at_256_each": 25600,
@@ -196,7 +196,7 @@
       "6": 12102
     }
   },
-  "generated_at_utc": "2026-06-23T09:35:08Z",
+  "generated_at_utc": "2026-06-23T11:37:29Z",
   "public_sample": {
     "dataset": {
       "episode_id": "xperience-10m-sample",

docs/data/mirror_parity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-23T11:08:14+00:00",
+  "generated_at_utc": "2026-06-23T11:47:50+00:00",
   "hf_root": "hf_publish",
   "summary": {
     "group_count": 1316,
@@ -236,45 +236,45 @@
       "local": {
         "path": "repo:docs/data/data_explorer_analysis.json",
         "exists": true,
-        "bytes": 21206,
-        "sha256": "84fce408007f34bf4574fdfd39d14e738e32e243654634419259074c8db4f81a"
+        "bytes": 21303,
+        "sha256": "0105c1ea97bda497686a33e5bdef081ea9c72fed8b291f60182dc2f4b56523b8"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:data/data_explorer_analysis.json",
           "exists": true,
-          "bytes": 21206,
-          "sha256": "84fce408007f34bf4574fdfd39d14e738e32e243654634419259074c8db4f81a"
+          "bytes": 21303,
+          "sha256": "0105c1ea97bda497686a33e5bdef081ea9c72fed8b291f60182dc2f4b56523b8"
         },
         "hf_artifacts_data": {
           "path": "hf_artifacts:data/data_explorer_analysis.json",
           "exists": true,
-          "bytes": 21206,
-          "sha256": "84fce408007f34bf4574fdfd39d14e738e32e243654634419259074c8db4f81a"
+          "bytes": 21303,
+          "sha256": "0105c1ea97bda497686a33e5bdef081ea9c72fed8b291f60182dc2f4b56523b8"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/data_explorer_analysis.json",
           "exists": true,
-          "bytes": 21206,
-          "sha256": "84fce408007f34bf4574fdfd39d14e738e32e243654634419259074c8db4f81a"
+          "bytes": 21303,
+          "sha256": "0105c1ea97bda497686a33e5bdef081ea9c72fed8b291f60182dc2f4b56523b8"
         },
         "hf_model_data": {
           "path": "hf_model:data/data_explorer_analysis.json",
           "exists": true,
-          "bytes": 21206,
-          "sha256": "84fce408007f34bf4574fdfd39d14e738e32e243654634419259074c8db4f81a"
+          "bytes": 21303,
+          "sha256": "0105c1ea97bda497686a33e5bdef081ea9c72fed8b291f60182dc2f4b56523b8"
         },
         "hf_model_docs_data": {
           "path": "hf_model:docs/data/data_explorer_analysis.json",
           "exists": true,
-          "bytes": 21206,
-          "sha256": "84fce408007f34bf4574fdfd39d14e738e32e243654634419259074c8db4f81a"
+          "bytes": 21303,
+          "sha256": "0105c1ea97bda497686a33e5bdef081ea9c72fed8b291f60182dc2f4b56523b8"
         },
         "hf_model": {
           "path": "hf_model:metrics/data_explorer_analysis.json",
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-          "sha256": "7a87ca17e7137302aae5e5b70d1bed217734e1144442b8b517ff98f54ec6fc6f"
+          "bytes": 2092,
+          "sha256": "766250e0a4badabdfdb1ff6cc9b1e1f78961b54286f8c748f0659887f685033c"
         }
       },
       "failures": []
@@ -33257,27 +33257,27 @@
       "local": {
         "path": "repo:PROJECT_STATUS.md",
         "exists": true,
-        "bytes": 16021,
-        "sha256": "01afd61c7199eaebc7b9e501cd769f141bfbd5c055ae521524baf52e9e07cb39"
+        "bytes": 16049,
+        "sha256": "ce501e5cc22e120f91986b290d712b9c5ff4cb92975c516d9afa7e27a14aec5e"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:PROJECT_STATUS.md",
           "exists": true,
-          "bytes": 16021,
-          "sha256": "01afd61c7199eaebc7b9e501cd769f141bfbd5c055ae521524baf52e9e07cb39"
+          "bytes": 16049,
+          "sha256": "ce501e5cc22e120f91986b290d712b9c5ff4cb92975c516d9afa7e27a14aec5e"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:PROJECT_STATUS.md",
           "exists": true,
-          "bytes": 16021,
-          "sha256": "01afd61c7199eaebc7b9e501cd769f141bfbd5c055ae521524baf52e9e07cb39"
+          "bytes": 16049,
+          "sha256": "ce501e5cc22e120f91986b290d712b9c5ff4cb92975c516d9afa7e27a14aec5e"
         },
         "hf_model": {
           "path": "hf_model:PROJECT_STATUS.md",
           "exists": true,
-          "bytes": 16021,
-          "sha256": "01afd61c7199eaebc7b9e501cd769f141bfbd5c055ae521524baf52e9e07cb39"
+          "bytes": 16049,
+          "sha256": "ce501e5cc22e120f91986b290d712b9c5ff4cb92975c516d9afa7e27a14aec5e"
         }
       },
       "failures": []
@@ -33567,27 +33567,27 @@
       "local": {
         "path": "repo:SOURCE_ALIGNMENT_AUDIT.md",
         "exists": true,
-        "bytes": 2309,
-        "sha256": "9950b526c18ff184ea8ab1c38a12c8aec3fa363a66db1099d9c36063c3634be9"
+        "bytes": 2391,
+        "sha256": "76ea122fa2c3c070a7cb91edde303ad91b08bc358e62640e918b23652afba848"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:SOURCE_ALIGNMENT_AUDIT.md",
           "exists": true,
-          "bytes": 2309,
-          "sha256": "9950b526c18ff184ea8ab1c38a12c8aec3fa363a66db1099d9c36063c3634be9"
+          "bytes": 2391,
+          "sha256": "76ea122fa2c3c070a7cb91edde303ad91b08bc358e62640e918b23652afba848"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:SOURCE_ALIGNMENT_AUDIT.md",
           "exists": true,
-          "bytes": 2309,
-          "sha256": "9950b526c18ff184ea8ab1c38a12c8aec3fa363a66db1099d9c36063c3634be9"
+          "bytes": 2391,
+          "sha256": "76ea122fa2c3c070a7cb91edde303ad91b08bc358e62640e918b23652afba848"
         },
         "hf_model": {
           "path": "hf_model:SOURCE_ALIGNMENT_AUDIT.md",
           "exists": true,
-          "bytes": 2309,
-          "sha256": "9950b526c18ff184ea8ab1c38a12c8aec3fa363a66db1099d9c36063c3634be9"
+          "bytes": 2391,
+          "sha256": "76ea122fa2c3c070a7cb91edde303ad91b08bc358e62640e918b23652afba848"
         }
       },
       "failures": []
@@ -33629,27 +33629,27 @@
       "local": {
         "path": "repo:XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
         "exists": true,
-        "bytes": 10677,
-        "sha256": "26398d7f56467fa05dd777353e1b46aed1377ddf3e7dc176589c8c68051eb5de"
+        "bytes": 10794,
+        "sha256": "551a5f3e69ab98a5bda8418d24cb5c86baf7a98ced3c2217ac60929bf41a9029"
       },
       "mirrors": {
         "hf_space": {
           "path": "hf_space:XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
           "exists": true,
-          "bytes": 10677,
-          "sha256": "26398d7f56467fa05dd777353e1b46aed1377ddf3e7dc176589c8c68051eb5de"
+          "bytes": 10794,
+          "sha256": "551a5f3e69ab98a5bda8418d24cb5c86baf7a98ced3c2217ac60929bf41a9029"
         },
         "hf_artifacts": {
           "path": "hf_artifacts:XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
           "exists": true,
-          "bytes": 10677,
-          "sha256": "26398d7f56467fa05dd777353e1b46aed1377ddf3e7dc176589c8c68051eb5de"
+          "bytes": 10794,
+          "sha256": "551a5f3e69ab98a5bda8418d24cb5c86baf7a98ced3c2217ac60929bf41a9029"
         },
         "hf_model": {
           "path": "hf_model:XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
           "exists": true,
-          "bytes": 10677,
-          "sha256": "26398d7f56467fa05dd777353e1b46aed1377ddf3e7dc176589c8c68051eb5de"
+          "bytes": 10794,
+          "sha256": "551a5f3e69ab98a5bda8418d24cb5c86baf7a98ced3c2217ac60929bf41a9029"
         }
       },
       "failures": []

docs/data/public_surface_qa.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Public Project Surface",
   "status": "pass",
-  "generated_at_utc": "2026-06-23T11:06:10+00:00",
+  "generated_at_utc": "2026-06-23T11:46:41+00:00",
   "scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
   "checks": [
     {
@@ -18,7 +18,7 @@
         "website_integrity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-23T11:02:46+00:00"
+          "generated_at_utc": "2026-06-23T11:40:19+00:00"
         },
         "rendered_site_check": {
           "exists": true,
@@ -28,12 +28,12 @@
         "task_surface_integrity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-23T11:03:31+00:00"
+          "generated_at_utc": "2026-06-23T11:40:15+00:00"
         },
         "source_alignment": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-23T11:03:31+00:00"
+          "generated_at_utc": "2026-06-23T11:40:15+00:00"
         },
         "scale_up_status": {
           "exists": true,
@@ -43,12 +43,12 @@
         "publication_package": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-23T11:03:02+00:00"
+          "generated_at_utc": "2026-06-23T11:40:47+00:00"
         },
         "mirror_parity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-23T11:05:07+00:00"
+          "generated_at_utc": "2026-06-23T11:46:15+00:00"
         }
       },
       "failures": {}
@@ -112,7 +112,7 @@
         "https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts": 14,
         "https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines": 12,
         "https://huggingface.co/cy0307/ropedia-xperience-10m-weights-results": 5,
-        "https://huggingface.co/datasets/ropedia-ai/xperience-10m": 38,
+        "https://huggingface.co/datasets/ropedia-ai/xperience-10m": 39,
         "https://ropedia.com/dataset": 4
       }
     },

docs/data/publication_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-23T11:03:02+00:00",
+  "generated_at_utc": "2026-06-23T11:40:47+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",

docs/data/quality_gates.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Release Checks",
   "status": "pass",
-  "generated_at_utc": "2026-06-23T11:06:09+00:00",
+  "generated_at_utc": "2026-06-23T11:46:41+00:00",
   "rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
   "automated_gates": [
     {

docs/data/source_alignment_audit.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Source Alignment Note",
   "status": "pass",
-  "generated_at_utc": "2026-06-23T11:03:31+00:00",
+  "generated_at_utc": "2026-06-23T11:40:15+00:00",
   "alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
   "alignment_summary": {
     "full_dataset_repo": "ropedia-ai/xperience-10m",
@@ -33,7 +33,7 @@
     {
       "name": "sample_card_metadata_is_preserved",
       "status": "pass",
-      "detail": "public sample card license and tooling are recorded separately from the gated full dataset",
+      "detail": "public sample card license and tooling are recorded separately from the Hugging Face gated full dataset version",
       "evidence": [
         "docs/data/xperience10m_dataset_card_alignment.json"
       ]

docs/data/task_surface_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-23T11:03:31+00:00",
+  "generated_at_utc": "2026-06-23T11:40:15+00:00",
   "summary": {
     "original_walkthrough_task_count": 12,
     "expected_original_walkthrough_task_count": 12,

docs/data/website_integrity.json

@@ -1,12 +1,12 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-23T11:02:46+00:00",
+  "generated_at_utc": "2026-06-23T11:40:19+00:00",
   "docs_root": "docs",
   "site_base": "/ropedia-xperience-10m-task-suite/",
   "summary": {
     "html_pages": 4,
     "local_references": 360,
-    "external_reference_count": 147,
+    "external_reference_count": 148,
     "json_files": 57,
     "image_assets_referenced": 55,
     "failure_count": 0
@@ -81,7 +81,7 @@
       "status": "pass",
       "reason": "The project overview should appear before the deeper progress ledger.",
       "overview_index": 196961,
-      "evidence_index": 259463
+      "evidence_index": 259487
     },
     {
       "name": "project_status_links_json",
@@ -160,8 +160,8 @@
       "status": "pass",
       "reason": "The evaluation protocol should appear before the deeper evidence ledger.",
       "overview_index": 196961,
-      "protocol_index": 255668,
-      "evidence_index": 259463
+      "protocol_index": 255692,
+      "evidence_index": 259487
     },
     {
       "name": "evaluation_protocol_links_json",
@@ -206,7 +206,7 @@
       "name": "dataset_card_section_links_official_dataset",
       "status": "pass",
       "reason": "The dataset-card section should link the official gated dataset.",
-      "marker_count": 5
+      "marker_count": 6
     },
     {
       "name": "dataset_card_section_links_public_sample",
@@ -330,7 +330,7 @@
     },
     {
       "path": "data/data_explorer_analysis.json",
-      "bytes": 21206,
+      "bytes": 21303,
       "top_level_type": "dict"
     },
     {
@@ -505,7 +505,7 @@
     },
     {
       "path": "data/source_alignment_audit.json",
-      "bytes": 4432,
+      "bytes": 4453,
       "top_level_type": "dict"
     },
     {
@@ -590,7 +590,7 @@
     },
     {
       "path": "data/xperience10m_dataset_card_alignment.json",
-      "bytes": 7559,
+      "bytes": 7645,
       "top_level_type": "dict"
     }
   ],
@@ -641,7 +641,7 @@
     {
       "path": "assets/charts/data_explorer_scope_ladder.svg",
       "exists": true,
-      "bytes": 94443,
+      "bytes": 95095,
       "format": "SVG",
       "has_viewbox": true
     },

docs/data/xperience10m_dataset_card_alignment.json

@@ -54,10 +54,10 @@
       "source": "Hugging Face dataset page/API public metadata",
       "total_file_size_display": "31.9 TB",
       "used_storage_bytes_observed": 31871115497224,
-      "note": "This live HF-hosted file-size display is separate from the dataset card's about-1PB full-scale data statement."
+      "note": "This live HF-hosted file-size display describes the Hugging Face dataset version and is separate from the dataset card's about-1PB full-scale data statement."
     },
     "api_file_listing_observed": {
-      "scope": "public Hugging Face API metadata, not local data possession",
+      "scope": "public Hugging Face API metadata for the HF-hosted full dataset version, not local data possession",
       "sibling_count": 85258,
       "session_folder_count": 803,
       "episode_folder_count": 12103,
@@ -199,7 +199,7 @@
   },
   "responsible_use_boundary": [
     "No raw MP4, raw annotation.hdf5, private gated data, raw visualization.rrd, or full Qwen weights are redistributed.",
-    "The public sample card lists cc-by-nc-4.0; the full gated dataset uses the official Ropedia/Xperience-10M access terms and license field.",
+    "The public sample card lists cc-by-nc-4.0; the Hugging Face gated full dataset uses the official Ropedia/Xperience-10M access terms and license field.",
     "The official card describes the open-source dataset as limited in diversity and showcase/production quality, so robust evaluation and downstream safeguards are still required.",
     "The project does not support identity recognition, re-identification, biometric profiling, surveillance, sensitive attribute inference, or safety-critical deployment.",
     "Dataset use remains governed by the official Ropedia/Xperience-10M terms."

docs/index.html

@@ -7279,9 +7279,9 @@
           <article class="snapshot-card">
             <span class="status-pill">verified</span>
             <h3>Dataset source alignment</h3>
-            <p>The public description is aligned to the official gated Xperience-10M dataset card, including modalities, scale, access, and current project coverage. The source snapshot records 31.9 TB on the HF surface, an about-1PB full-scale storage statement, 12,103 episode folders as upstream metadata, not a local data inventory, public sample license cc-by-nc-4.0, HOMIE Toolkit and Rerun 0.29.0 source tooling, and the official limited diversity note. See the source-alignment record for exact provenance.</p>
+            <p>The public description is aligned to the official gated Xperience-10M Hugging Face dataset card, including modalities, scale, access, and current project coverage. The source snapshot records 31.9 TB on the HF dataset surface, an about-1PB full-scale storage statement, 12,103 episode folders as upstream metadata, not a local data inventory, public sample license cc-by-nc-4.0, HOMIE Toolkit and Rerun 0.29.0 source tooling, and the official limited diversity note. See the source-alignment record for exact provenance.</p>
             <div class="snapshot-meta">
-              <span>full dataset <strong>gated</strong></span>
+              <span>full dataset <strong>HF gated</strong></span>
               <span>sample scope <strong>1 episode</strong></span>
               <span>raw data mirrored <strong>no</strong></span>
             </div>
@@ -7838,7 +7838,7 @@
           <article class="artifact primary-artifact"><div><h3>Official dataset</h3><p>Xperience-10M is a gated large-scale egocentric multimodal dataset for embodied AI, robotics, spatial intelligence, and world modeling.</p></div><a href="https://huggingface.co/datasets/ropedia-ai/xperience-10m">official HF dataset</a></article>
           <article class="artifact"><h3>Line 1 public sample</h3><p>The one-episode line builds the inspectable 20-task lab. Use Line 2 for selected-128 held-out comparison.</p><a href="https://huggingface.co/datasets/ropedia-ai/xperience-10m-sample">sample dataset</a></article>
           <article class="artifact"><h3>Public sample inspection</h3><p>One public sample episode is exposed through the raw browser and modality atlas: synchronized video, embedded audio, HDF5 annotation groups, depth, pose/SLAM, mocap, IMU, calibration, language-derived signals, and source links in one place.</p><a href="#raw-sample">open raw browser</a><a href="data/raw_sample_files.json">raw manifest</a><a href="data/modality_atlas.json">stream metadata</a></article>
-          <article class="artifact"><h3>Data explorer analysis</h3><p>Compare the one-sample line, selected-128 feature exports, and full gated dataset metadata with scope stats, split counts, modality breakdowns, and readable charts.</p><a href="#data-analysis">open analysis</a><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/DATA_EXPLORER_ANALYSIS.md">analysis report</a></article>
+          <article class="artifact"><h3>Data explorer analysis</h3><p>Compare the one-sample line, selected-128 feature exports, and Hugging Face gated full-dataset metadata with scope stats, split counts, modality breakdowns, and readable charts.</p><a href="#data-analysis">open analysis</a><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/DATA_EXPLORER_ANALYSIS.md">analysis report</a></article>
           <article class="artifact"><h3>Multi-episode pilot</h3><p>The selected 128-episode Qwen3-Omni LoRA v6 diagnostic run is verified with 4,032 held-out test predictions and 99.90% JSON validity. Action/subtask metrics are still weak, so this remains a baseline for error analysis.</p><a href="https://huggingface.co/cy0307/ropedia-qwen3-omni-lora-128ep">LoRA adapter</a><a href="data/qwen3_v5_v6_comparison.json">v5/v6 comparison</a></article>
           <article class="artifact"><h3>Data boundary</h3><p>Raw MP4, HDF5, RRD files are streamed from the official public sample source when opened here; private gated data and full Qwen weights are not redistributed in this project.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/DATA_NOTICE.md">data notice</a></article>
           <article class="artifact"><h3>Implemented subset</h3><p>The public task lab uses one sample episode with 5,821 frames, 1,161 aligned windows, 8,546-dimensional task inputs, and 20 integrated task contracts.</p><a href="#suite">task suite</a><a href="data/task_suite_20.json">task contract data</a></article>
@@ -7853,7 +7853,7 @@
       <div class="wrap">
         <div class="section-head">
           <h2>Data explorer analysis.</h2>
-          <p>Read the data at three separate scales: the official public sample episode, the selected 128-episode feature surface, and authenticated file metadata for the full gated Hugging Face dataset. The charts are generated by a reproducible script and keep raw data boundaries explicit.</p>
+          <p>Read the data at three separate scales: the official public sample episode, the selected 128-episode feature surface, and authenticated file metadata for the Hugging Face-hosted gated full dataset. The charts are generated by a reproducible script and keep raw data boundaries explicit.</p>
         </div>
         <div class="data-analysis-grid" aria-label="Three Xperience-10M data scopes">
           <article class="data-analysis-card">
@@ -7879,7 +7879,7 @@
             </div>
           </article>
           <article class="data-analysis-card">
-            <small>scope 3 / full gated dataset</small>
+            <small>scope 3 / HF gated full dataset</small>
             <h3>Full-corpus metadata.</h3>
             <p>The official dataset remains gated. This project records file-level Hub metadata so readers can understand scale without downloading private raw MP4, HDF5, or RRD files.</p>
             <div class="data-analysis-metrics">
@@ -7897,7 +7897,7 @@
               <small>reader map</small>
               <h3>What each data scale can answer.</h3>
             </div>
-            <p>The goal is to make the data understandable without mixing raw public sample inspection, selected-128 derived artifacts, and full gated-dataset metadata into one ambiguous inventory.</p>
+            <p>The goal is to make the data understandable without mixing raw public sample inspection, selected-128 derived artifacts, and Hugging Face gated full-dataset metadata into one ambiguous inventory.</p>
           </div>
           <table class="line-table">
             <thead>
@@ -7934,9 +7934,9 @@
         <div class="data-analysis-chart-grid" aria-label="Generated data explorer charts">
           <article class="data-chart-card wide">
             <small>scale comparison</small>
-            <h3>One sample, selected 128, and full dataset are different reading scopes.</h3>
+            <h3>One sample, selected 128, and the HF full dataset are different reading scopes.</h3>
             <p>Log-scale bars keep the large jumps visible without hiding the small public-sample line.</p>
-            <img src="assets/charts/data_explorer_scope_ladder.svg?v=xperience10m-data-explorer-v1" alt="Scope ladder chart comparing public sample, selected 128 episodes, and full gated dataset by episode count, window rows, and training bytes.">
+            <img src="assets/charts/data_explorer_scope_ladder.svg?v=xperience10m-data-explorer-v1" alt="Scope ladder chart comparing public sample, selected 128 episodes, and the Hugging Face gated full dataset by episode count, window rows, and training bytes.">
           </article>
           <article class="data-chart-card">
             <small>sample feature anatomy</small>
@@ -7957,14 +7957,14 @@
             <img src="assets/charts/data_explorer_selected128_split_rows.svg?v=xperience10m-data-explorer-v1" alt="Stacked bar chart of selected-128 processed rows by train, validation, and test split.">
           </article>
           <article class="data-chart-card">
-            <small>full dataset metadata</small>
-            <h3>The upstream dataset is mostly repeated episode file structure.</h3>
-            <p>Each complete episode usually has one annotation HDF5 and six MP4 streams; RRD viewer recordings are optional.</p>
-            <img src="assets/charts/data_explorer_full_file_composition.svg?v=xperience10m-data-explorer-v1" alt="Log-scale file composition chart for the gated full dataset metadata.">
+            <small>HF full-dataset metadata</small>
+            <h3>The Hugging Face full dataset is mostly repeated episode file structure.</h3>
+            <p>The counts come from the gated <a href="https://huggingface.co/datasets/ropedia-ai/xperience-10m">ropedia-ai/xperience-10m</a> repository on Hugging Face. Each complete episode usually has one annotation HDF5 and six MP4 streams; RRD viewer recordings are optional.</p>
+            <img src="assets/charts/data_explorer_full_file_composition.svg?v=xperience10m-data-explorer-v1" alt="Log-scale file composition chart for the gated Hugging Face full-dataset metadata.">
           </article>
         </div>
 
-        <p class="data-analysis-note"><strong>Source boundary:</strong> the full-corpus counts come from authenticated Hugging Face Hub file metadata for <a href="https://huggingface.co/datasets/ropedia-ai/xperience-10m">ropedia-ai/xperience-10m</a>. They describe repository scale and file organization; they do not inspect private row contents or redistribute raw data.</p>
+        <p class="data-analysis-note"><strong>Source boundary:</strong> the full-corpus counts are the Hugging Face-hosted dataset version: authenticated Hugging Face Hub file metadata for <a href="https://huggingface.co/datasets/ropedia-ai/xperience-10m">ropedia-ai/xperience-10m</a>. They describe repository scale and file organization; they do not inspect private row contents or redistribute raw data.</p>
         <div class="data-analysis-actions">
           <a class="button" href="#raw-sample">Open raw sample browser</a>
           <a class="button" href="#suite">Open 20-task suite</a>
@@ -9517,7 +9517,7 @@ python scripts/validate_publication_package.py</code></pre>
       roadmap: "Best for planning: what has shipped and what the next experiments should do.",
       "reading-path": "Best for choosing an order through the repo, website, and HF surfaces.",
       "dataset-card": "Best for source alignment and public-sample boundaries.",
-      "data-analysis": "Best for comparing the public sample, selected 128 episodes, and full gated dataset metadata.",
+      "data-analysis": "Best for comparing the public sample, selected 128 episodes, and Hugging Face gated full-dataset metadata.",
       "raw-sample": "Best for inspecting the sample files, media previews, and file relationships.",
       suite: "Best for the unified 20-task map, radar comparisons, task cards, and score matrix.",
       walkthroughs: "Best for case-study style task explanations.",

index.html

@@ -7279,9 +7279,9 @@
           <article class="snapshot-card">
             <span class="status-pill">verified</span>
             <h3>Dataset source alignment</h3>
-            <p>The public description is aligned to the official gated Xperience-10M dataset card, including modalities, scale, access, and current project coverage. The source snapshot records 31.9 TB on the HF surface, an about-1PB full-scale storage statement, 12,103 episode folders as upstream metadata, not a local data inventory, public sample license cc-by-nc-4.0, HOMIE Toolkit and Rerun 0.29.0 source tooling, and the official limited diversity note. See the source-alignment record for exact provenance.</p>
+            <p>The public description is aligned to the official gated Xperience-10M Hugging Face dataset card, including modalities, scale, access, and current project coverage. The source snapshot records 31.9 TB on the HF dataset surface, an about-1PB full-scale storage statement, 12,103 episode folders as upstream metadata, not a local data inventory, public sample license cc-by-nc-4.0, HOMIE Toolkit and Rerun 0.29.0 source tooling, and the official limited diversity note. See the source-alignment record for exact provenance.</p>
             <div class="snapshot-meta">
-              <span>full dataset <strong>gated</strong></span>
+              <span>full dataset <strong>HF gated</strong></span>
               <span>sample scope <strong>1 episode</strong></span>
               <span>raw data mirrored <strong>no</strong></span>
             </div>
@@ -7838,7 +7838,7 @@
           <article class="artifact primary-artifact"><div><h3>Official dataset</h3><p>Xperience-10M is a gated large-scale egocentric multimodal dataset for embodied AI, robotics, spatial intelligence, and world modeling.</p></div><a href="https://huggingface.co/datasets/ropedia-ai/xperience-10m">official HF dataset</a></article>
           <article class="artifact"><h3>Line 1 public sample</h3><p>The one-episode line builds the inspectable 20-task lab. Use Line 2 for selected-128 held-out comparison.</p><a href="https://huggingface.co/datasets/ropedia-ai/xperience-10m-sample">sample dataset</a></article>
           <article class="artifact"><h3>Public sample inspection</h3><p>One public sample episode is exposed through the raw browser and modality atlas: synchronized video, embedded audio, HDF5 annotation groups, depth, pose/SLAM, mocap, IMU, calibration, language-derived signals, and source links in one place.</p><a href="#raw-sample">open raw browser</a><a href="data/raw_sample_files.json">raw manifest</a><a href="data/modality_atlas.json">stream metadata</a></article>
-          <article class="artifact"><h3>Data explorer analysis</h3><p>Compare the one-sample line, selected-128 feature exports, and full gated dataset metadata with scope stats, split counts, modality breakdowns, and readable charts.</p><a href="#data-analysis">open analysis</a><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/DATA_EXPLORER_ANALYSIS.md">analysis report</a></article>
+          <article class="artifact"><h3>Data explorer analysis</h3><p>Compare the one-sample line, selected-128 feature exports, and Hugging Face gated full-dataset metadata with scope stats, split counts, modality breakdowns, and readable charts.</p><a href="#data-analysis">open analysis</a><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/DATA_EXPLORER_ANALYSIS.md">analysis report</a></article>
           <article class="artifact"><h3>Multi-episode pilot</h3><p>The selected 128-episode Qwen3-Omni LoRA v6 diagnostic run is verified with 4,032 held-out test predictions and 99.90% JSON validity. Action/subtask metrics are still weak, so this remains a baseline for error analysis.</p><a href="https://huggingface.co/cy0307/ropedia-qwen3-omni-lora-128ep">LoRA adapter</a><a href="data/qwen3_v5_v6_comparison.json">v5/v6 comparison</a></article>
           <article class="artifact"><h3>Data boundary</h3><p>Raw MP4, HDF5, RRD files are streamed from the official public sample source when opened here; private gated data and full Qwen weights are not redistributed in this project.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/DATA_NOTICE.md">data notice</a></article>
           <article class="artifact"><h3>Implemented subset</h3><p>The public task lab uses one sample episode with 5,821 frames, 1,161 aligned windows, 8,546-dimensional task inputs, and 20 integrated task contracts.</p><a href="#suite">task suite</a><a href="data/task_suite_20.json">task contract data</a></article>
@@ -7853,7 +7853,7 @@
       <div class="wrap">
         <div class="section-head">
           <h2>Data explorer analysis.</h2>
-          <p>Read the data at three separate scales: the official public sample episode, the selected 128-episode feature surface, and authenticated file metadata for the full gated Hugging Face dataset. The charts are generated by a reproducible script and keep raw data boundaries explicit.</p>
+          <p>Read the data at three separate scales: the official public sample episode, the selected 128-episode feature surface, and authenticated file metadata for the Hugging Face-hosted gated full dataset. The charts are generated by a reproducible script and keep raw data boundaries explicit.</p>
         </div>
         <div class="data-analysis-grid" aria-label="Three Xperience-10M data scopes">
           <article class="data-analysis-card">
@@ -7879,7 +7879,7 @@
             </div>
           </article>
           <article class="data-analysis-card">
-            <small>scope 3 / full gated dataset</small>
+            <small>scope 3 / HF gated full dataset</small>
             <h3>Full-corpus metadata.</h3>
             <p>The official dataset remains gated. This project records file-level Hub metadata so readers can understand scale without downloading private raw MP4, HDF5, or RRD files.</p>
             <div class="data-analysis-metrics">
@@ -7897,7 +7897,7 @@
               <small>reader map</small>
               <h3>What each data scale can answer.</h3>
             </div>
-            <p>The goal is to make the data understandable without mixing raw public sample inspection, selected-128 derived artifacts, and full gated-dataset metadata into one ambiguous inventory.</p>
+            <p>The goal is to make the data understandable without mixing raw public sample inspection, selected-128 derived artifacts, and Hugging Face gated full-dataset metadata into one ambiguous inventory.</p>
           </div>
           <table class="line-table">
             <thead>
@@ -7934,9 +7934,9 @@
         <div class="data-analysis-chart-grid" aria-label="Generated data explorer charts">
           <article class="data-chart-card wide">
             <small>scale comparison</small>
-            <h3>One sample, selected 128, and full dataset are different reading scopes.</h3>
+            <h3>One sample, selected 128, and the HF full dataset are different reading scopes.</h3>
             <p>Log-scale bars keep the large jumps visible without hiding the small public-sample line.</p>
-            <img src="assets/charts/data_explorer_scope_ladder.svg?v=xperience10m-data-explorer-v1" alt="Scope ladder chart comparing public sample, selected 128 episodes, and full gated dataset by episode count, window rows, and training bytes.">
+            <img src="assets/charts/data_explorer_scope_ladder.svg?v=xperience10m-data-explorer-v1" alt="Scope ladder chart comparing public sample, selected 128 episodes, and the Hugging Face gated full dataset by episode count, window rows, and training bytes.">
           </article>
           <article class="data-chart-card">
             <small>sample feature anatomy</small>
@@ -7957,14 +7957,14 @@
             <img src="assets/charts/data_explorer_selected128_split_rows.svg?v=xperience10m-data-explorer-v1" alt="Stacked bar chart of selected-128 processed rows by train, validation, and test split.">
           </article>
           <article class="data-chart-card">
-            <small>full dataset metadata</small>
-            <h3>The upstream dataset is mostly repeated episode file structure.</h3>
-            <p>Each complete episode usually has one annotation HDF5 and six MP4 streams; RRD viewer recordings are optional.</p>
-            <img src="assets/charts/data_explorer_full_file_composition.svg?v=xperience10m-data-explorer-v1" alt="Log-scale file composition chart for the gated full dataset metadata.">
+            <small>HF full-dataset metadata</small>
+            <h3>The Hugging Face full dataset is mostly repeated episode file structure.</h3>
+            <p>The counts come from the gated <a href="https://huggingface.co/datasets/ropedia-ai/xperience-10m">ropedia-ai/xperience-10m</a> repository on Hugging Face. Each complete episode usually has one annotation HDF5 and six MP4 streams; RRD viewer recordings are optional.</p>
+            <img src="assets/charts/data_explorer_full_file_composition.svg?v=xperience10m-data-explorer-v1" alt="Log-scale file composition chart for the gated Hugging Face full-dataset metadata.">
           </article>
         </div>
 
-        <p class="data-analysis-note"><strong>Source boundary:</strong> the full-corpus counts come from authenticated Hugging Face Hub file metadata for <a href="https://huggingface.co/datasets/ropedia-ai/xperience-10m">ropedia-ai/xperience-10m</a>. They describe repository scale and file organization; they do not inspect private row contents or redistribute raw data.</p>
+        <p class="data-analysis-note"><strong>Source boundary:</strong> the full-corpus counts are the Hugging Face-hosted dataset version: authenticated Hugging Face Hub file metadata for <a href="https://huggingface.co/datasets/ropedia-ai/xperience-10m">ropedia-ai/xperience-10m</a>. They describe repository scale and file organization; they do not inspect private row contents or redistribute raw data.</p>
         <div class="data-analysis-actions">
           <a class="button" href="#raw-sample">Open raw sample browser</a>
           <a class="button" href="#suite">Open 20-task suite</a>
@@ -9517,7 +9517,7 @@ python scripts/validate_publication_package.py</code></pre>
       roadmap: "Best for planning: what has shipped and what the next experiments should do.",
       "reading-path": "Best for choosing an order through the repo, website, and HF surfaces.",
       "dataset-card": "Best for source alignment and public-sample boundaries.",
-      "data-analysis": "Best for comparing the public sample, selected 128 episodes, and full gated dataset metadata.",
+      "data-analysis": "Best for comparing the public sample, selected 128 episodes, and Hugging Face gated full-dataset metadata.",
       "raw-sample": "Best for inspecting the sample files, media previews, and file relationships.",
       suite: "Best for the unified 20-task map, radar comparisons, task cards, and score matrix.",
       walkthroughs: "Best for case-study style task explanations.",

metrics/data_explorer_analysis.json

@@ -2,7 +2,7 @@
   "charts": [
     {
       "path": "assets/charts/data_explorer_scope_ladder.svg",
-      "question": "How do the public sample, selected 128 episodes, and full gated dataset differ in scale?",
+      "question": "How do the public sample, selected 128 episodes, and Hugging Face gated full dataset version differ in scale?",
       "title": "Scope ladder"
     },
     {
@@ -22,8 +22,8 @@
     },
     {
       "path": "assets/charts/data_explorer_full_file_composition.svg",
-      "question": "What file types dominate the gated full-dataset metadata?",
-      "title": "Full dataset file composition"
+      "question": "What file types dominate the Hugging Face gated full-dataset metadata?",
+      "title": "Hugging Face full dataset file composition"
     }
   ],
   "full_hf_dataset": {
@@ -154,7 +154,7 @@
       }
     ],
     "last_modified": "2026-04-21T05:03:45+00:00",
-    "metadata_note": "The official dataset is gated. These full-corpus figures use authenticated Hugging Face Hub file metadata only; they do not inspect private row content or redistribute raw MP4/HDF5/RRD files.",
+    "metadata_note": "The official dataset is gated on Hugging Face. These full-corpus figures use authenticated Hugging Face Hub file metadata for the HF-hosted dataset version only; they do not inspect private row content or redistribute raw MP4/HDF5/RRD files.",
     "pilot_scale_estimates": {
       "all_complete_episodes_windows_at_256_each": 3098112,
       "episode_100_windows_at_256_each": 25600,
@@ -196,7 +196,7 @@
       "6": 12102
     }
   },
-  "generated_at_utc": "2026-06-23T09:35:08Z",
+  "generated_at_utc": "2026-06-23T11:37:29Z",
   "public_sample": {
     "dataset": {
       "episode_id": "xperience-10m-sample",

metrics/mirror_parity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-23T11:08:14+00:00",
+  "generated_at_utc": "2026-06-23T11:47:50+00:00",
   "hf_root": "hf_publish",
   "summary": {
     "group_count": 1316,
@@ -236,45 +236,45 @@
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       "mirrors": {
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           "path": "hf_space:data/data_explorer_analysis.json",
           "exists": true,
-          "bytes": 21206,
-          "sha256": "84fce408007f34bf4574fdfd39d14e738e32e243654634419259074c8db4f81a"
+          "bytes": 21303,
+          "sha256": "0105c1ea97bda497686a33e5bdef081ea9c72fed8b291f60182dc2f4b56523b8"
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           "path": "hf_artifacts:data/data_explorer_analysis.json",
           "exists": true,
-          "bytes": 21206,
-          "sha256": "84fce408007f34bf4574fdfd39d14e738e32e243654634419259074c8db4f81a"
+          "bytes": 21303,
+          "sha256": "0105c1ea97bda497686a33e5bdef081ea9c72fed8b291f60182dc2f4b56523b8"
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         "hf_artifacts": {
           "path": "hf_artifacts:docs/data/data_explorer_analysis.json",
           "exists": true,
-          "bytes": 21206,
-          "sha256": "84fce408007f34bf4574fdfd39d14e738e32e243654634419259074c8db4f81a"
+          "bytes": 21303,
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         "hf_model_data": {
           "path": "hf_model:data/data_explorer_analysis.json",
           "exists": true,
-          "bytes": 21206,
-          "sha256": "84fce408007f34bf4574fdfd39d14e738e32e243654634419259074c8db4f81a"
+          "bytes": 21303,
+          "sha256": "0105c1ea97bda497686a33e5bdef081ea9c72fed8b291f60182dc2f4b56523b8"
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         "hf_model_docs_data": {
           "path": "hf_model:docs/data/data_explorer_analysis.json",
           "exists": true,
-          "bytes": 21206,
-          "sha256": "84fce408007f34bf4574fdfd39d14e738e32e243654634419259074c8db4f81a"
+          "bytes": 21303,
+          "sha256": "0105c1ea97bda497686a33e5bdef081ea9c72fed8b291f60182dc2f4b56523b8"
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         "hf_model": {
           "path": "hf_model:metrics/data_explorer_analysis.json",
           "exists": true,
-          "bytes": 21206,
-          "sha256": "84fce408007f34bf4574fdfd39d14e738e32e243654634419259074c8db4f81a"
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@@ -1021,44 +1021,44 @@
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         "exists": true,
         "bytes": 10940,
-        "sha256": "8c7eb4d74013ba7fce655f7ad8daa45c198d96b90b904ff23ffa615a198cadb0"
+        "sha256": "c9cf75364d7be41351b286ea3f1f589839d9c90d48aee5fe3ea470b7b8059471"
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         "hf_space": {
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           "exists": true,
           "bytes": 10940,
-          "sha256": "8c7eb4d74013ba7fce655f7ad8daa45c198d96b90b904ff23ffa615a198cadb0"
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           "path": "hf_artifacts:data/publication_audit.json",
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           "bytes": 10940,
-          "sha256": "8c7eb4d74013ba7fce655f7ad8daa45c198d96b90b904ff23ffa615a198cadb0"
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           "bytes": 10940,
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         "hf_model_data": {
           "path": "hf_model:data/publication_audit.json",
           "exists": true,
           "bytes": 10940,
-          "sha256": "8c7eb4d74013ba7fce655f7ad8daa45c198d96b90b904ff23ffa615a198cadb0"
+          "sha256": "c9cf75364d7be41351b286ea3f1f589839d9c90d48aee5fe3ea470b7b8059471"
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         "hf_model_docs_data": {
           "path": "hf_model:docs/data/publication_audit.json",
           "exists": true,
           "bytes": 10940,
-          "sha256": "8c7eb4d74013ba7fce655f7ad8daa45c198d96b90b904ff23ffa615a198cadb0"
+          "sha256": "c9cf75364d7be41351b286ea3f1f589839d9c90d48aee5fe3ea470b7b8059471"
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         "hf_model": {
           "path": "hf_model:metrics/publication_audit.json",
           "exists": true,
           "bytes": 10940,
-          "sha256": "8c7eb4d74013ba7fce655f7ad8daa45c198d96b90b904ff23ffa615a198cadb0"
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@@ -1070,44 +1070,44 @@
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         "exists": true,
         "bytes": 7690,
-        "sha256": "2fc3e1156d56d8275ca238576fa2936782b2c40807be9b0ff239b7c9d6bab011"
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         "hf_space": {
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           "exists": true,
           "bytes": 7690,
-          "sha256": "2fc3e1156d56d8275ca238576fa2936782b2c40807be9b0ff239b7c9d6bab011"
+          "sha256": "ece0453135f6fc277c3d3142034f97855161a28eb76ddf52f7de82632e7f0e0c"
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           "path": "hf_artifacts:data/public_surface_qa.json",
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           "bytes": 7690,
-          "sha256": "2fc3e1156d56d8275ca238576fa2936782b2c40807be9b0ff239b7c9d6bab011"
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           "bytes": 7690,
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           "bytes": 7690,
-          "sha256": "2fc3e1156d56d8275ca238576fa2936782b2c40807be9b0ff239b7c9d6bab011"
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@@ -1266,44 +1266,44 @@
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-        "sha256": "79f85b1f8bedf297a9d8834952f5e2e58261e44a8af9796f21bc2acfad96367d"
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-          "sha256": "79f85b1f8bedf297a9d8834952f5e2e58261e44a8af9796f21bc2acfad96367d"
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@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-23T11:03:02+00:00",
+  "generated_at_utc": "2026-06-23T11:40:47+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",

metrics/quality_gates.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Release Checks",
   "status": "pass",
-  "generated_at_utc": "2026-06-23T11:06:09+00:00",
+  "generated_at_utc": "2026-06-23T11:46:41+00:00",
   "rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
   "automated_gates": [
     {

metrics/source_alignment_audit.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Source Alignment Note",
   "status": "pass",
-  "generated_at_utc": "2026-06-23T11:03:31+00:00",
+  "generated_at_utc": "2026-06-23T11:40:15+00:00",
   "alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
   "alignment_summary": {
     "full_dataset_repo": "ropedia-ai/xperience-10m",
@@ -33,7 +33,7 @@
     {
       "name": "sample_card_metadata_is_preserved",
       "status": "pass",
-      "detail": "public sample card license and tooling are recorded separately from the gated full dataset",
+      "detail": "public sample card license and tooling are recorded separately from the Hugging Face gated full dataset version",
       "evidence": [
         "docs/data/xperience10m_dataset_card_alignment.json"
       ]

metrics/task_surface_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-23T11:03:31+00:00",
+  "generated_at_utc": "2026-06-23T11:40:15+00:00",
   "summary": {
     "original_walkthrough_task_count": 12,
     "expected_original_walkthrough_task_count": 12,

metrics/website_integrity.json

@@ -1,12 +1,12 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-23T11:02:46+00:00",
+  "generated_at_utc": "2026-06-23T11:40:19+00:00",
   "docs_root": "docs",
   "site_base": "/ropedia-xperience-10m-task-suite/",
   "summary": {
     "html_pages": 4,
     "local_references": 360,
-    "external_reference_count": 147,
+    "external_reference_count": 148,
     "json_files": 57,
     "image_assets_referenced": 55,
     "failure_count": 0
@@ -81,7 +81,7 @@
       "status": "pass",
       "reason": "The project overview should appear before the deeper progress ledger.",
       "overview_index": 196961,
-      "evidence_index": 259463
+      "evidence_index": 259487
     },
     {
       "name": "project_status_links_json",
@@ -160,8 +160,8 @@
       "status": "pass",
       "reason": "The evaluation protocol should appear before the deeper evidence ledger.",
       "overview_index": 196961,
-      "protocol_index": 255668,
-      "evidence_index": 259463
+      "protocol_index": 255692,
+      "evidence_index": 259487
     },
     {
       "name": "evaluation_protocol_links_json",
@@ -206,7 +206,7 @@
       "name": "dataset_card_section_links_official_dataset",
       "status": "pass",
       "reason": "The dataset-card section should link the official gated dataset.",
-      "marker_count": 5
+      "marker_count": 6
     },
     {
       "name": "dataset_card_section_links_public_sample",
@@ -330,7 +330,7 @@
     },
     {
       "path": "data/data_explorer_analysis.json",
-      "bytes": 21206,
+      "bytes": 21303,
       "top_level_type": "dict"
     },
     {
@@ -505,7 +505,7 @@
     },
     {
       "path": "data/source_alignment_audit.json",
-      "bytes": 4432,
+      "bytes": 4453,
       "top_level_type": "dict"
     },
     {
@@ -590,7 +590,7 @@
     },
     {
       "path": "data/xperience10m_dataset_card_alignment.json",
-      "bytes": 7559,
+      "bytes": 7645,
       "top_level_type": "dict"
     }
   ],
@@ -641,7 +641,7 @@
     {
       "path": "assets/charts/data_explorer_scope_ladder.svg",
       "exists": true,
-      "bytes": 94443,
+      "bytes": 95095,
       "format": "SVG",
       "has_viewbox": true
     },

metrics/xperience10m_dataset_card_alignment.json

@@ -54,10 +54,10 @@
       "source": "Hugging Face dataset page/API public metadata",
       "total_file_size_display": "31.9 TB",
       "used_storage_bytes_observed": 31871115497224,
-      "note": "This live HF-hosted file-size display is separate from the dataset card's about-1PB full-scale data statement."
+      "note": "This live HF-hosted file-size display describes the Hugging Face dataset version and is separate from the dataset card's about-1PB full-scale data statement."
     },
     "api_file_listing_observed": {
-      "scope": "public Hugging Face API metadata, not local data possession",
+      "scope": "public Hugging Face API metadata for the HF-hosted full dataset version, not local data possession",
       "sibling_count": 85258,
       "session_folder_count": 803,
       "episode_folder_count": 12103,
@@ -199,7 +199,7 @@
   },
   "responsible_use_boundary": [
     "No raw MP4, raw annotation.hdf5, private gated data, raw visualization.rrd, or full Qwen weights are redistributed.",
-    "The public sample card lists cc-by-nc-4.0; the full gated dataset uses the official Ropedia/Xperience-10M access terms and license field.",
+    "The public sample card lists cc-by-nc-4.0; the Hugging Face gated full dataset uses the official Ropedia/Xperience-10M access terms and license field.",
     "The official card describes the open-source dataset as limited in diversity and showcase/production quality, so robust evaluation and downstream safeguards are still required.",
     "The project does not support identity recognition, re-identification, biometric profiling, surveillance, sensitive attribute inference, or safety-critical deployment.",
     "Dataset use remains governed by the official Ropedia/Xperience-10M terms."

scripts/validate_source_alignment.py

@@ -238,7 +238,7 @@ def render_markdown(payload: dict) -> str:
         "",
         "| Layer | Current value |",
         "| --- | --- |",
-        f"| Full dataset repo | `{alignment['full_dataset_repo']}` |",
+        f"| Full dataset repo | Hugging Face gated dataset `{alignment['full_dataset_repo']}` |",
         f"| Full dataset access | {alignment['full_dataset_access']} |",
         f"| Live HF file-size display | {alignment['live_hf_file_size_display']} |",
         f"| Full-scale storage statement | {alignment['full_scale_storage_statement']} |",
@@ -259,9 +259,9 @@ def render_markdown(payload: dict) -> str:
         "",
         "## Current Project Scope",
         "",
-        "- HF API file counts are source-listing metadata, not local data possession.",
+        "- HF API file counts are source-listing metadata for the Hugging Face full dataset version, not local data possession.",
         "- The live HF 31.9 TB file-size display is recorded separately from the card's about-1PB full-scale storage statement.",
-        "- The public sample license is preserved separately from the gated full dataset license field.",
+        "- The public sample license is preserved separately from the Hugging Face gated full-dataset license field.",
         "- The official limited-diversity / showcase-quality disclaimer is preserved in the responsible-use notes.",
         "- Raw MP4, HDF5, RRD, private gated data, and full Qwen weights are not redistributed.",
         "- Current model evidence remains one public sample episode, not cross-episode generalization.",
@@ -314,7 +314,7 @@ def build_report(hf_root: Path) -> dict:
             and sample.get("pretty_name") == EXPECTED_SAMPLE["pretty_name"]
             and sample.get("license") == EXPECTED_SAMPLE["license"]
             and set(sample.get("tooling", [])) == EXPECTED_SAMPLE["tooling"],
-            "public sample card license and tooling are recorded separately from the gated full dataset",
+            "public sample card license and tooling are recorded separately from the Hugging Face gated full dataset version",
             ["docs/data/xperience10m_dataset_card_alignment.json"],
         )
     )