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Update Xperience-10M public evidence-line docs and audits

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README.md CHANGED
@@ -59,7 +59,7 @@ metrics:
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  **Ropedia Xperience-10M Task Suite** turns the public Xperience-10M sample into a readable embodied-AI benchmark surface. It keeps the evidence trail explicit: what is derived from the one public sample episode, what is evaluated on selected 128-episode held-out splits, what is mirrored to Hugging Face, and what still requires gated raw data or new model-specific evaluators.
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- **Updated:** 2026-06-18.
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  **Scope:** one public sample episode for the fully reproducible task suite; selected 128-episode public-safe artifacts for Qwen3-Omni, Cosmos3, metadata baselines, and raw-feature baselines. Raw Xperience-10M MP4/HDF5/RRD files, full Qwen weights, and gated data are not redistributed here.
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@@ -67,6 +67,7 @@ metrics:
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  - [How To Read This Project](#how-to-read-this-project)
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  - [At A Glance](#at-a-glance)
 
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  - [Fast Reader Map](#fast-reader-map)
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  - [Why This Project Exists](#why-this-project-exists)
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  - [Start Here](#start-here)
@@ -119,6 +120,44 @@ The multilingual README files are reader guides. The canonical technical evidenc
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  </tbody>
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  </table>
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  ## Fast Reader Map
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  <table>
 
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  **Ropedia Xperience-10M Task Suite** turns the public Xperience-10M sample into a readable embodied-AI benchmark surface. It keeps the evidence trail explicit: what is derived from the one public sample episode, what is evaluated on selected 128-episode held-out splits, what is mirrored to Hugging Face, and what still requires gated raw data or new model-specific evaluators.
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+ **Updated:** 2026-06-21.
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  **Scope:** one public sample episode for the fully reproducible task suite; selected 128-episode public-safe artifacts for Qwen3-Omni, Cosmos3, metadata baselines, and raw-feature baselines. Raw Xperience-10M MP4/HDF5/RRD files, full Qwen weights, and gated data are not redistributed here.
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  - [How To Read This Project](#how-to-read-this-project)
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  - [At A Glance](#at-a-glance)
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+ - [Two Evidence Lines](#two-evidence-lines)
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  - [Fast Reader Map](#fast-reader-map)
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  - [Why This Project Exists](#why-this-project-exists)
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  - [Start Here](#start-here)
 
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  </tbody>
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  </table>
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+ ## Two Evidence Lines
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+
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+ The public suite is organized around two result lines. Keep them separate when
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+ reading metrics.
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+
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+ <table>
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+ <thead>
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+ <tr>
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+ <th width="20%">Line</th>
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+ <th width="26%">Data unit</th>
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+ <th width="24%">Methods</th>
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+ <th>Primary use</th>
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+ </tr>
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+ </thead>
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+ <tbody>
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+ <tr>
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+ <td><strong>1 sample episode</strong></td>
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+ <td>One public Xperience-10M sample episode: 5,821 frames, 1,161 aligned 20-frame windows, 8,546 feature dimensions.</td>
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+ <td>Minimal heads and Neural MLP heads on all 20 tasks: 40/40 scored method-task records.</td>
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+ <td>Inspect raw sample files, understand task definitions, rerun local baselines, and debug whether each task is well-posed.</td>
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+ </tr>
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+ <tr>
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+ <td><strong>128 selected episodes</strong></td>
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+ <td>Selected held-out 96/16/16 split: 34,269 exported windows with public-safe processed features linked to official gated episode paths.</td>
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+ <td>Metadata simple/NN, raw-feature simple/NN, Qwen3-Omni, Cosmos3-Super, and Cosmos3-Nano: 140/140 scored 128-line records.</td>
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+ <td>Compare same-split baselines and model branches; use proxy flags where the public export lacks a direct raw target.</td>
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+ </tr>
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+ </tbody>
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+ </table>
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+
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+ Result entry points:
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+ [`TWO_EVIDENCE_LINES.md`](TWO_EVIDENCE_LINES.md),
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+ [`two_evidence_lines.json`](docs/data/two_evidence_lines.json),
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+ [`single_episode_task_model_radar.json`](docs/data/single_episode_task_model_radar.json),
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+ [`episode128_task_model_radar.json`](docs/data/episode128_task_model_radar.json),
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+ [`task_method_20_result_matrix.json`](docs/data/task_method_20_result_matrix.json), and
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+ [`xperience10m_128_episode_feature_index.json`](docs/data/xperience10m_128_episode_feature_index.json).
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+
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  ## Fast Reader Map
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  <table>
TWO_EVIDENCE_LINES.md ADDED
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+ # Two Evidence Lines
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+
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+ The public Xperience-10M task suite has two result lines. Read them separately.
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+
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+ | Line | Data unit | Methods | Best use |
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+ | --- | --- | --- | --- |
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+ | 1 sample episode | One public sample episode; 5,821 frames; 1,161 aligned 20-frame windows; 8,546 feature dimensions. | Minimal heads and Neural MLP heads on all 20 tasks; 40/40 scored method-task records. | Inspect raw files, understand each task, rerun local baselines, and debug task quality. |
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+ | 128 selected episodes | Selected held-out 96/16/16 split; 34,269 exported windows; public-safe processed features linked to official gated episode paths. | Metadata simple/NN, raw-feature simple/NN, Qwen3-Omni, Cosmos3-Super, Cosmos3-Nano; 140/140 scored 128-line records. | Compare same-split baselines and model branches; keep proxy flags visible when direct raw targets are unavailable. |
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+
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+ ## Result Files
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+
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+ | Purpose | Artifact |
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+ | --- | --- |
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+ | Unified 9-method x 20-task matrix | [`docs/data/task_method_20_result_matrix.json`](docs/data/task_method_20_result_matrix.json) |
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+ | 1-episode radar data | [`docs/data/single_episode_task_model_radar.json`](docs/data/single_episode_task_model_radar.json) |
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+ | 128-episode radar data | [`docs/data/episode128_task_model_radar.json`](docs/data/episode128_task_model_radar.json) |
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+ | 128-episode feature index | [`docs/data/xperience10m_128_episode_feature_index.json`](docs/data/xperience10m_128_episode_feature_index.json) |
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+ | Score evidence and proxy ledger | [`docs/data/task_method_20_gap_audit.json`](docs/data/task_method_20_gap_audit.json) |
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+
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+ ## Interpretation Rule
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+
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+ Use the 1-episode line for task construction and reproducibility claims.
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+ Use the 128-episode line for held-out comparison and model-branch claims.
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+ Do not mix those claims without naming the evidence line.
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data/two_evidence_lines.json ADDED
@@ -0,0 +1,69 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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