Datasets:
Add files using upload-large-folder tool
Browse files- PROJECT_README.md +26 -27
- README.de.md +8 -8
- README.es.md +8 -8
- README.fr.md +8 -8
- README.ja.md +8 -8
- README.ko.md +8 -8
- README.pt.md +8 -8
- README.zh.md +8 -8
- data/artifact_index.json +5 -5
- data/public_surface_qa.json +12 -12
- data/publication_audit.json +1 -1
- data/quality_gates.json +1 -1
- data/source_alignment_audit.json +1 -1
- data/task_surface_integrity.json +1 -1
- data/website_integrity.json +6 -6
- docs/data/artifact_index.json +5 -5
- docs/data/public_surface_qa.json +12 -12
- docs/data/publication_audit.json +1 -1
- docs/data/quality_gates.json +1 -1
- docs/data/source_alignment_audit.json +1 -1
- docs/data/task_surface_integrity.json +1 -1
- docs/data/website_integrity.json +6 -6
- docs/index.html +47 -0
- index.html +47 -0
- scripts/build_multilingual_public_readmes.py +64 -64
- scripts/verify_live_publication.py +2 -0
PROJECT_README.md
CHANGED
|
@@ -115,7 +115,7 @@ The multilingual README files are reader guides. The canonical technical evidenc
|
|
| 115 |
|
| 116 |
## Public Structure: 20 Tasks / 4 Directions / 3 Pipelines
|
| 117 |
|
| 118 |
-
Read the project as three layers. The **20 tasks** are the scored benchmark contracts. The **4 directions** are reader-facing research groupings over those same tasks. The **3 foundation pipelines** are training recipes that reuse the same modalities, windows, and task targets.
|
| 119 |
|
| 120 |
Reader rule: if it has a metric, it is a **task**; if it explains what the evidence studies, it is a **direction**; if it describes model inputs and training targets, it is a **pipeline**.
|
| 121 |
|
|
@@ -311,32 +311,32 @@ Result entry points:
|
|
| 311 |
<tr>
|
| 312 |
<td><strong>Choose the public surface</strong></td>
|
| 313 |
<td><a href="PUBLIC_READER_MAP.md">Public reader map</a></td>
|
| 314 |
-
<td><a href="docs/data/public_reader_map.json">
|
| 315 |
</tr>
|
| 316 |
<tr>
|
| 317 |
<td><strong>Decode project terms</strong></td>
|
| 318 |
<td><a href="GLOSSARY.md">Glossary</a></td>
|
| 319 |
-
<td><a href="docs/data/glossary.json">glossary
|
| 320 |
</tr>
|
| 321 |
<tr>
|
| 322 |
<td><strong>Inspect the 20 tasks</strong></td>
|
| 323 |
-
<td><a href="TASK_SUITE_20.md">
|
| 324 |
-
<td><a href="docs/data/task_suite_20.json">
|
| 325 |
</tr>
|
| 326 |
<tr>
|
| 327 |
<td><strong>Compare results</strong></td>
|
| 328 |
<td><a href="RESEARCH_TAKEAWAYS.md">Research takeaways</a></td>
|
| 329 |
-
<td><a href="docs/data/two_evidence_line_result_summary.json">two-line result summary</a><br><a href="docs/data/task_method_20_result_matrix.json">
|
| 330 |
</tr>
|
| 331 |
<tr>
|
| 332 |
<td><strong>Understand one sample</strong></td>
|
| 333 |
<td><a href="https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/single_episode_explorer.html">Single-episode explorer</a></td>
|
| 334 |
-
<td><a href="docs/data/raw_sample_files.json">
|
| 335 |
</tr>
|
| 336 |
<tr>
|
| 337 |
<td><strong>Read foundation directions</strong></td>
|
| 338 |
<td><a href="THREE_FOUNDATION_PIPELINES.md">Three foundation pipelines</a></td>
|
| 339 |
-
<td><a href="docs/data/three_foundation_pipelines.json">
|
| 340 |
</tr>
|
| 341 |
<tr>
|
| 342 |
<td><strong>Reproduce or audit</strong></td>
|
|
@@ -1494,12 +1494,12 @@ and [`docs/data/additional_development_directions.json`](docs/data/additional_de
|
|
| 1494 |
## Four Research Directions
|
| 1495 |
|
| 1496 |
The walkthrough-backed task contracts are organized against the four Ropedia research directions in
|
| 1497 |
-
a
|
| 1498 |
|
| 1499 |
-
- [
|
| 1500 |
-
- [
|
| 1501 |
-
- [
|
| 1502 |
-
- [
|
| 1503 |
|
| 1504 |
The taxonomy uses two current baselines for every task:
|
| 1505 |
|
|
@@ -1513,9 +1513,9 @@ Current direction-level coverage:
|
|
| 1513 |
| Direction | Current status | Covered task evidence | What is not solved yet |
|
| 1514 |
| --- | --- | --- | --- |
|
| 1515 |
| A. Human Modeling & Motion Understanding | Partially implemented | Hand Trajectory Forecasting and Contact State Prediction are direct; Action Recognition and Object Relevance Prediction are proxies. Neural MLP improves hand forecasting from `0.8647` to `0.1079` MPJPE. | No full body/shape model, SMPL/MANO target, deformation prior, or multi-episode motion-generation evaluation yet. |
|
| 1516 |
-
| B. 3D/4D Reconstruction & Neural Rendering |
|
| 1517 |
| C. Egocentric Vision & Interaction | Strongest implemented track | 6 direct tasks: action, subtask, transition, next-action, object relevance, and caption grounding, plus alignment/order diagnostics and audio ablation. | Single-episode chronological split limits generalization; stronger audio and video-language backbones still need multi-episode testing. |
|
| 1518 |
-
| D. Scene Reconstruction & World Modeling |
|
| 1519 |
|
| 1520 |
The important interpretation is that all four directions can be **started** from
|
| 1521 |
the Xperience-10M sample modalities, but only direction C is strongly represented
|
|
@@ -1549,10 +1549,9 @@ Run:
|
|
| 1549 |
python scripts/research_direction_extension_tasks.py
|
| 1550 |
```
|
| 1551 |
|
| 1552 |
-
These four probes make the
|
| 1553 |
-
|
| 1554 |
-
|
| 1555 |
-
models.
|
| 1556 |
|
| 1557 |
## Unified 20-Task Suite
|
| 1558 |
|
|
@@ -1565,14 +1564,14 @@ The historical `tier2_task_suite` file and directory names remain only for
|
|
| 1565 |
stable artifact links. They should be read as provenance bundles inside the
|
| 1566 |
unified 20-task suite, not as a separate benchmark tier.
|
| 1567 |
|
| 1568 |
-
- [
|
| 1569 |
-
- [
|
| 1570 |
-
- [
|
| 1571 |
-
- [
|
| 1572 |
-
- [
|
| 1573 |
-
- [
|
| 1574 |
-
- [
|
| 1575 |
-
- [
|
| 1576 |
- [`TIER2_TASK_BASELINES.md`](results/episode_task_suite/tier2_task_suite/TIER2_TASK_BASELINES.md)
|
| 1577 |
- [`tier2_task_suite_results.json`](results/episode_task_suite/tier2_task_suite/tier2_task_suite_results.json)
|
| 1578 |
- [`docs/data/tier2_task_suite.json`](docs/data/tier2_task_suite.json)
|
|
|
|
| 115 |
|
| 116 |
## Public Structure: 20 Tasks / 4 Directions / 3 Pipelines
|
| 117 |
|
| 118 |
+
Read the project as three layers. The **20 tasks** are the scored benchmark contracts. The **4 directions** are reader-facing research groupings over those same tasks. The **3 foundation pipelines** are training recipes that reuse the same modalities, windows, and task targets. Use them in that order when reading the project.
|
| 119 |
|
| 120 |
Reader rule: if it has a metric, it is a **task**; if it explains what the evidence studies, it is a **direction**; if it describes model inputs and training targets, it is a **pipeline**.
|
| 121 |
|
|
|
|
| 311 |
<tr>
|
| 312 |
<td><strong>Choose the public surface</strong></td>
|
| 313 |
<td><a href="PUBLIC_READER_MAP.md">Public reader map</a></td>
|
| 314 |
+
<td><a href="docs/data/public_reader_map.json">reader-map data</a></td>
|
| 315 |
</tr>
|
| 316 |
<tr>
|
| 317 |
<td><strong>Decode project terms</strong></td>
|
| 318 |
<td><a href="GLOSSARY.md">Glossary</a></td>
|
| 319 |
+
<td><a href="docs/data/glossary.json">glossary data</a></td>
|
| 320 |
</tr>
|
| 321 |
<tr>
|
| 322 |
<td><strong>Inspect the 20 tasks</strong></td>
|
| 323 |
+
<td><a href="TASK_SUITE_20.md">20-task guide</a></td>
|
| 324 |
+
<td><a href="docs/data/task_suite_20.json">task contract data</a><br><a href="results/episode_task_suite/task_walkthroughs/">task walkthroughs</a></td>
|
| 325 |
</tr>
|
| 326 |
<tr>
|
| 327 |
<td><strong>Compare results</strong></td>
|
| 328 |
<td><a href="RESEARCH_TAKEAWAYS.md">Research takeaways</a></td>
|
| 329 |
+
<td><a href="docs/data/two_evidence_line_result_summary.json">two-line result summary</a><br><a href="docs/data/task_method_20_result_matrix.json">180-record result table</a><br><a href="docs/data/unified_task_model_radar.json">radar data</a><br><a href="docs/data/task_method_20_gap_audit.json">score/proxy audit</a></td>
|
| 330 |
</tr>
|
| 331 |
<tr>
|
| 332 |
<td><strong>Understand one sample</strong></td>
|
| 333 |
<td><a href="https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/single_episode_explorer.html">Single-episode explorer</a></td>
|
| 334 |
+
<td><a href="docs/data/raw_sample_files.json">sample-file map</a><br><a href="results/episode_task_suite/feature_manifest.json">feature manifest</a></td>
|
| 335 |
</tr>
|
| 336 |
<tr>
|
| 337 |
<td><strong>Read foundation directions</strong></td>
|
| 338 |
<td><a href="THREE_FOUNDATION_PIPELINES.md">Three foundation pipelines</a></td>
|
| 339 |
+
<td><a href="docs/data/three_foundation_pipelines.json">pipeline contract data</a><br><a href="FOUNDATION_MODEL_PLAN.md">foundation model plan</a></td>
|
| 340 |
</tr>
|
| 341 |
<tr>
|
| 342 |
<td><strong>Reproduce or audit</strong></td>
|
|
|
|
| 1494 |
## Four Research Directions
|
| 1495 |
|
| 1496 |
The walkthrough-backed task contracts are organized against the four Ropedia research directions in
|
| 1497 |
+
a source-linked companion set:
|
| 1498 |
|
| 1499 |
+
- [Direction taxonomy data](results/episode_task_suite/research_directions/research_direction_taxonomy.json)
|
| 1500 |
+
- [Task-to-direction map](results/episode_task_suite/research_directions/research_direction_task_map.csv)
|
| 1501 |
+
- [Direction summary note](results/episode_task_suite/research_directions/research_direction_summary.md)
|
| 1502 |
+
- [Public direction data](docs/data/research_directions.json)
|
| 1503 |
|
| 1504 |
The taxonomy uses two current baselines for every task:
|
| 1505 |
|
|
|
|
| 1513 |
| Direction | Current status | Covered task evidence | What is not solved yet |
|
| 1514 |
| --- | --- | --- | --- |
|
| 1515 |
| A. Human Modeling & Motion Understanding | Partially implemented | Hand Trajectory Forecasting and Contact State Prediction are direct; Action Recognition and Object Relevance Prediction are proxies. Neural MLP improves hand forecasting from `0.8647` to `0.1079` MPJPE. | No full body/shape model, SMPL/MANO target, deformation prior, or multi-episode motion-generation evaluation yet. |
|
| 1516 |
+
| B. 3D/4D Reconstruction & Neural Rendering | Prerequisite evidence | Cross-Modal Retrieval, Cross-Modal Reconstruction, and Multimodal Synchronization Detection test alignment/reconstruction prerequisites. | No NeRF, Gaussian Splatting, TSDF, mesh, novel-view synthesis, or calibrated 4D reconstruction model yet. |
|
| 1517 |
| C. Egocentric Vision & Interaction | Strongest implemented track | 6 direct tasks: action, subtask, transition, next-action, object relevance, and caption grounding, plus alignment/order diagnostics and audio ablation. | Single-episode chronological split limits generalization; stronger audio and video-language backbones still need multi-episode testing. |
|
| 1518 |
+
| D. Scene Reconstruction & World Modeling | World-model prerequisite evidence | Procedure Step Recognition, Next-Action Prediction, Object Relevance Prediction, Cross-Modal Retrieval, Cross-Modal Reconstruction, Temporal Order Verification, and Multimodal Synchronization Detection provide state/world-model probes. | No persistent scene graph, object permanence task, long-term map, or held-out-episode world model yet. |
|
| 1519 |
|
| 1520 |
The important interpretation is that all four directions can be **started** from
|
| 1521 |
the Xperience-10M sample modalities, but only direction C is strongly represented
|
|
|
|
| 1549 |
python scripts/research_direction_extension_tasks.py
|
| 1550 |
```
|
| 1551 |
|
| 1552 |
+
These four probes make the direction mapping concrete while staying within the
|
| 1553 |
+
same single-episode evidence line. They should be read as task-backed probes, not
|
| 1554 |
+
as claims that the larger foundation-model directions are solved.
|
|
|
|
| 1555 |
|
| 1556 |
## Unified 20-Task Suite
|
| 1557 |
|
|
|
|
| 1564 |
stable artifact links. They should be read as provenance bundles inside the
|
| 1565 |
unified 20-task suite, not as a separate benchmark tier.
|
| 1566 |
|
| 1567 |
+
- [20-task guide](TASK_SUITE_20.md)
|
| 1568 |
+
- [Task contract data](docs/data/task_suite_20.json)
|
| 1569 |
+
- [All-method radar data](docs/data/unified_task_model_radar.json)
|
| 1570 |
+
- [Single-episode radar data](docs/data/single_episode_task_model_radar.json)
|
| 1571 |
+
- [128-episode radar data](docs/data/episode128_task_model_radar.json)
|
| 1572 |
+
- [180-record result table](docs/data/task_method_20_result_matrix.json)
|
| 1573 |
+
- [Score/proxy audit data](docs/data/task_method_20_gap_audit.json)
|
| 1574 |
+
- [Score/proxy audit note](TASK_METHOD_20_GAP_AUDIT.md)
|
| 1575 |
- [`TIER2_TASK_BASELINES.md`](results/episode_task_suite/tier2_task_suite/TIER2_TASK_BASELINES.md)
|
| 1576 |
- [`tier2_task_suite_results.json`](results/episode_task_suite/tier2_task_suite/tier2_task_suite_results.json)
|
| 1577 |
- [`docs/data/tier2_task_suite.json`](docs/data/tier2_task_suite.json)
|
README.de.md
CHANGED
|
@@ -53,19 +53,19 @@ Formel: 2 Single-Episode-Methoden x 20 Aufgaben = 40; 7 128-Episode-Methoden x 2
|
|
| 53 |
|
| 54 |
Methodenblöcke: Linie 1 enthält task-head baselines (Minimal, Neural MLP). Linie 2 trennt aligned baseline heads (metadata simple/NN, raw-feature simple/NN), die Qwen3-Omni series (Qwen3-Omni v6 LoRA) und die Cosmos3 series (Cosmos3-Super Reasoner, Cosmos3-Nano Future Window). Qwen3 v1-v6 ist eine LoRA-/Evaluationslinie innerhalb von Linie 2, nicht die evidence lines des Projekts; die 20-Task-Matrix nutzt v6 und v5 bleibt der pinned prior release. Cosmos3-Super Forward-Dynamics LoRA ist ein separat veröffentlichter Adapter/Gewichts-/Ergebnis-Artefakt und zählt nicht als Methodenreihe der 20-Task-Matrix.
|
| 55 |
|
| 56 |
-
Einstieg: [
|
| 57 |
|
| 58 |
## Schneller Einstieg
|
| 59 |
|
| 60 |
| Ziel | Einstieg |
|
| 61 |
| --- | --- |
|
| 62 |
-
| Projekt verstehen | [
|
| 63 |
-
| Richtige öffentliche Oberfläche wählen | [
|
| 64 |
-
| 20 Aufgaben prüfen | [
|
| 65 |
-
| Ergebnisse vergleichen | [
|
| 66 |
-
| Ein Sample untersuchen | [
|
| 67 |
-
| Drei Foundation-Pipelines lesen | [
|
| 68 |
-
| Reproduzieren oder auditieren | [
|
| 69 |
|
| 70 |
## Struktur
|
| 71 |
|
|
|
|
| 53 |
|
| 54 |
Methodenblöcke: Linie 1 enthält task-head baselines (Minimal, Neural MLP). Linie 2 trennt aligned baseline heads (metadata simple/NN, raw-feature simple/NN), die Qwen3-Omni series (Qwen3-Omni v6 LoRA) und die Cosmos3 series (Cosmos3-Super Reasoner, Cosmos3-Nano Future Window). Qwen3 v1-v6 ist eine LoRA-/Evaluationslinie innerhalb von Linie 2, nicht die evidence lines des Projekts; die 20-Task-Matrix nutzt v6 und v5 bleibt der pinned prior release. Cosmos3-Super Forward-Dynamics LoRA ist ein separat veröffentlichter Adapter/Gewichts-/Ergebnis-Artefakt und zählt nicht als Methodenreihe der 20-Task-Matrix.
|
| 55 |
|
| 56 |
+
Einstieg: [Leitfaden zu zwei Evidenzlinien](TWO_EVIDENCE_LINES.md), [Daten der zwei Evidenzlinien](docs/data/two_evidence_lines.json), [Tabelle mit 180 Ergebnissen](docs/data/task_method_20_result_matrix.json), [Ergebniszusammenfassung der zwei Linien](docs/data/two_evidence_line_result_summary.json).
|
| 57 |
|
| 58 |
## Schneller Einstieg
|
| 59 |
|
| 60 |
| Ziel | Einstieg |
|
| 61 |
| --- | --- |
|
| 62 |
+
| Projekt verstehen | [Projektbrief](PROJECT_BRIEF.md), [Projektstatus](PROJECT_STATUS.md) |
|
| 63 |
+
| Richtige öffentliche Oberfläche wählen | [öffentliche Lesekarte](PUBLIC_READER_MAP.md) |
|
| 64 |
+
| 20 Aufgaben prüfen | [20-Aufgaben-Leitfaden](TASK_SUITE_20.md), [Aufgabenvertragsdaten](docs/data/task_suite_20.json) |
|
| 65 |
+
| Ergebnisse vergleichen | [Forschungsergebnisse](RESEARCH_TAKEAWAYS.md), [Tabelle mit 180 Ergebnissen](docs/data/task_method_20_result_matrix.json) |
|
| 66 |
+
| Ein Sample untersuchen | [Ein-Episode-Explorer](https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/single_episode_explorer.html), [Sample-Dateikarte](docs/data/raw_sample_files.json) |
|
| 67 |
+
| Drei Foundation-Pipelines lesen | [drei Foundation-Pipelines](THREE_FOUNDATION_PIPELINES.md), [Pipeline-Vertragsdaten](docs/data/three_foundation_pipelines.json) |
|
| 68 |
+
| Reproduzieren oder auditieren | [Reproduzierbarkeitsleitfaden](REPRODUCIBILITY.md), [Evidenzvertrag](EVIDENCE_CONTRACT.md) |
|
| 69 |
|
| 70 |
## Struktur
|
| 71 |
|
README.es.md
CHANGED
|
@@ -53,19 +53,19 @@ Fórmula: 2 métodos de un episodio x 20 tareas = 40; 7 métodos de 128 episodio
|
|
| 53 |
|
| 54 |
Bloques de métodos: la línea 1 contiene task-head baselines (Minimal, Neural MLP). La línea 2 separa aligned baseline heads (metadata simple/NN, raw-feature simple/NN), la serie Qwen3-Omni (Qwen3-Omni v6 LoRA) y la serie Cosmos3 (Cosmos3-Super Reasoner, Cosmos3-Nano Future Window). Qwen3 v1-v6 es una línea interna de evolución LoRA/evaluación dentro de la línea 2, no las evidence lines del proyecto; la matriz de 20 tareas usa v6 y v5 queda como pinned prior release. Cosmos3-Super Forward-Dynamics LoRA se publica como adapter/pesos/resultados aparte y no cuenta como fila de método en la matriz de 20 tareas.
|
| 55 |
|
| 56 |
-
Entradas: [
|
| 57 |
|
| 58 |
## Ruta Rápida
|
| 59 |
|
| 60 |
| Objetivo | Entrada |
|
| 61 |
| --- | --- |
|
| 62 |
-
| Entender el proyecto | [
|
| 63 |
-
| Elegir la superficie correcta | [
|
| 64 |
-
| Ver las 20 tareas | [
|
| 65 |
-
| Comparar resultados | [
|
| 66 |
-
| Inspeccionar una muestra | [
|
| 67 |
-
| Leer las tres direcciones foundation | [
|
| 68 |
-
| Reproducir o auditar | [
|
| 69 |
|
| 70 |
## Estructura
|
| 71 |
|
|
|
|
| 53 |
|
| 54 |
Bloques de métodos: la línea 1 contiene task-head baselines (Minimal, Neural MLP). La línea 2 separa aligned baseline heads (metadata simple/NN, raw-feature simple/NN), la serie Qwen3-Omni (Qwen3-Omni v6 LoRA) y la serie Cosmos3 (Cosmos3-Super Reasoner, Cosmos3-Nano Future Window). Qwen3 v1-v6 es una línea interna de evolución LoRA/evaluación dentro de la línea 2, no las evidence lines del proyecto; la matriz de 20 tareas usa v6 y v5 queda como pinned prior release. Cosmos3-Super Forward-Dynamics LoRA se publica como adapter/pesos/resultados aparte y no cuenta como fila de método en la matriz de 20 tareas.
|
| 55 |
|
| 56 |
+
Entradas: [guia de dos lineas de evidencia](TWO_EVIDENCE_LINES.md), [datos de dos lineas](docs/data/two_evidence_lines.json), [tabla de 180 resultados](docs/data/task_method_20_result_matrix.json), [resumen de resultados de dos lineas](docs/data/two_evidence_line_result_summary.json).
|
| 57 |
|
| 58 |
## Ruta Rápida
|
| 59 |
|
| 60 |
| Objetivo | Entrada |
|
| 61 |
| --- | --- |
|
| 62 |
+
| Entender el proyecto | [resumen del proyecto](PROJECT_BRIEF.md), [estado del proyecto](PROJECT_STATUS.md) |
|
| 63 |
+
| Elegir la superficie correcta | [mapa publico de lectura](PUBLIC_READER_MAP.md) |
|
| 64 |
+
| Ver las 20 tareas | [guia de 20 tareas](TASK_SUITE_20.md), [datos de contratos de tarea](docs/data/task_suite_20.json) |
|
| 65 |
+
| Comparar resultados | [conclusiones de investigacion](RESEARCH_TAKEAWAYS.md), [tabla de 180 resultados](docs/data/task_method_20_result_matrix.json) |
|
| 66 |
+
| Inspeccionar una muestra | [explorador de un episodio](https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/single_episode_explorer.html), [mapa de archivos de muestra](docs/data/raw_sample_files.json) |
|
| 67 |
+
| Leer las tres direcciones foundation | [tres pipelines foundation](THREE_FOUNDATION_PIPELINES.md), [datos de contratos de pipeline](docs/data/three_foundation_pipelines.json) |
|
| 68 |
+
| Reproducir o auditar | [guia de reproducibilidad](REPRODUCIBILITY.md), [contrato de evidencia](EVIDENCE_CONTRACT.md) |
|
| 69 |
|
| 70 |
## Estructura
|
| 71 |
|
README.fr.md
CHANGED
|
@@ -53,19 +53,19 @@ Formule : 2 méthodes sur 1 épisode x 20 tâches = 40; 7 méthodes sur 128 épi
|
|
| 53 |
|
| 54 |
Blocs de méthodes : la ligne 1 contient les task-head baselines (Minimal, Neural MLP). La ligne 2 sépare les aligned baseline heads (metadata simple/NN, raw-feature simple/NN), la série Qwen3-Omni (Qwen3-Omni v6 LoRA) et la série Cosmos3 (Cosmos3-Super Reasoner, Cosmos3-Nano Future Window). Qwen3 v1-v6 est une lignée LoRA/évaluation interne à la ligne 2, pas les evidence lines du projet; la matrice 20 tâches utilise v6 et v5 reste le pinned prior release. Cosmos3-Super Forward-Dynamics LoRA est publié comme adapter/poids/résultats séparé et ne compte pas comme ligne de méthode dans la matrice 20 tâches.
|
| 55 |
|
| 56 |
-
Entrées : [
|
| 57 |
|
| 58 |
## Parcours Rapide
|
| 59 |
|
| 60 |
| Objectif | Point d'entrée |
|
| 61 |
| --- | --- |
|
| 62 |
-
| Comprendre le projet | [
|
| 63 |
-
| Choisir la bonne surface publique | [
|
| 64 |
-
| Lire les 20 tâches | [
|
| 65 |
-
| Comparer les résultats | [
|
| 66 |
-
| Inspecter un sample | [
|
| 67 |
-
| Lire les trois pipelines foundation | [
|
| 68 |
-
| Reproduire et auditer | [
|
| 69 |
|
| 70 |
## Structure
|
| 71 |
|
|
|
|
| 53 |
|
| 54 |
Blocs de méthodes : la ligne 1 contient les task-head baselines (Minimal, Neural MLP). La ligne 2 sépare les aligned baseline heads (metadata simple/NN, raw-feature simple/NN), la série Qwen3-Omni (Qwen3-Omni v6 LoRA) et la série Cosmos3 (Cosmos3-Super Reasoner, Cosmos3-Nano Future Window). Qwen3 v1-v6 est une lignée LoRA/évaluation interne à la ligne 2, pas les evidence lines du projet; la matrice 20 tâches utilise v6 et v5 reste le pinned prior release. Cosmos3-Super Forward-Dynamics LoRA est publié comme adapter/poids/résultats séparé et ne compte pas comme ligne de méthode dans la matrice 20 tâches.
|
| 55 |
|
| 56 |
+
Entrées : [guide des deux lignes de preuve](TWO_EVIDENCE_LINES.md), [données des deux lignes](docs/data/two_evidence_lines.json), [table des 180 résultats](docs/data/task_method_20_result_matrix.json), [résumé des résultats par ligne](docs/data/two_evidence_line_result_summary.json).
|
| 57 |
|
| 58 |
## Parcours Rapide
|
| 59 |
|
| 60 |
| Objectif | Point d'entrée |
|
| 61 |
| --- | --- |
|
| 62 |
+
| Comprendre le projet | [résumé du projet](PROJECT_BRIEF.md), [état du projet](PROJECT_STATUS.md) |
|
| 63 |
+
| Choisir la bonne surface publique | [carte de lecture publique](PUBLIC_READER_MAP.md) |
|
| 64 |
+
| Lire les 20 tâches | [guide des 20 tâches](TASK_SUITE_20.md), [données des contrats de tâche](docs/data/task_suite_20.json) |
|
| 65 |
+
| Comparer les résultats | [conclusions de recherche](RESEARCH_TAKEAWAYS.md), [table des 180 résultats](docs/data/task_method_20_result_matrix.json) |
|
| 66 |
+
| Inspecter un sample | [explorateur d'un épisode](https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/single_episode_explorer.html), [carte des fichiers sample](docs/data/raw_sample_files.json) |
|
| 67 |
+
| Lire les trois pipelines foundation | [trois pipelines foundation](THREE_FOUNDATION_PIPELINES.md), [données des contrats de pipeline](docs/data/three_foundation_pipelines.json) |
|
| 68 |
+
| Reproduire et auditer | [guide de reproductibilité](REPRODUCIBILITY.md), [contrat de preuve](EVIDENCE_CONTRACT.md) |
|
| 69 |
|
| 70 |
## Structure
|
| 71 |
|
README.ja.md
CHANGED
|
@@ -53,19 +53,19 @@
|
|
| 53 |
|
| 54 |
Method blocks: Line 1 は task-head baselines(Minimal、Neural MLP)。Line 2 は aligned baseline heads(metadata simple/NN、raw-feature simple/NN)、Qwen3-Omni series(Qwen3-Omni v6 LoRA)、Cosmos3 series(Cosmos3-Super Reasoner、Cosmos3-Nano Future Window)に分かれます。Qwen3 v1-v6 は Line 2 内の LoRA/eval lineage で、project evidence lines とは別です。20-task matrix は v6 を使い、v5 は pinned prior release です。Cosmos3-Super Forward-Dynamics LoRA は別の adapter/weights/results artifact として公開され、20-task matrix の method row には含めません。
|
| 55 |
|
| 56 |
-
入口: [
|
| 57 |
|
| 58 |
## クイックルート
|
| 59 |
|
| 60 |
| 目的 | 入口 |
|
| 61 |
| --- | --- |
|
| 62 |
-
| プロジェクトを素早く理解 | [
|
| 63 |
-
| 公開面を選ぶ | [
|
| 64 |
-
| 20 タスクを見る | [
|
| 65 |
-
| 結果を比較 | [
|
| 66 |
-
| 1 サンプルを調べる | [
|
| 67 |
-
| 3 つの foundation pipeline を読む | [
|
| 68 |
-
| 再現・監査 | [
|
| 69 |
|
| 70 |
## 構造
|
| 71 |
|
|
|
|
| 53 |
|
| 54 |
Method blocks: Line 1 は task-head baselines(Minimal、Neural MLP)。Line 2 は aligned baseline heads(metadata simple/NN、raw-feature simple/NN)、Qwen3-Omni series(Qwen3-Omni v6 LoRA)、Cosmos3 series(Cosmos3-Super Reasoner、Cosmos3-Nano Future Window)に分かれます。Qwen3 v1-v6 は Line 2 内の LoRA/eval lineage で、project evidence lines とは別です。20-task matrix は v6 を使い、v5 は pinned prior release です。Cosmos3-Super Forward-Dynamics LoRA は別の adapter/weights/results artifact として公開され、20-task matrix の method row には含めません。
|
| 55 |
|
| 56 |
+
入口: [2 つの証拠ラインのガイド](TWO_EVIDENCE_LINES.md)、[2 ラインのデータ](docs/data/two_evidence_lines.json)、[180 件の結果表](docs/data/task_method_20_result_matrix.json)、[2 ライン結果サマリ](docs/data/two_evidence_line_result_summary.json)。
|
| 57 |
|
| 58 |
## クイックルート
|
| 59 |
|
| 60 |
| 目的 | 入口 |
|
| 61 |
| --- | --- |
|
| 62 |
+
| プロジェクトを素早く理解 | [プロジェクト概要](PROJECT_BRIEF.md), [プロジェクト状態](PROJECT_STATUS.md) |
|
| 63 |
+
| 公開面を選ぶ | [公開リーダーマップ](PUBLIC_READER_MAP.md) |
|
| 64 |
+
| 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) |
|
| 65 |
+
| 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) |
|
| 66 |
+
| 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) |
|
| 67 |
+
| 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) |
|
| 68 |
+
| 再現・監査 | [再現ガイド](REPRODUCIBILITY.md), [証拠契約](EVIDENCE_CONTRACT.md) |
|
| 69 |
|
| 70 |
## 構造
|
| 71 |
|
README.ko.md
CHANGED
|
@@ -53,19 +53,19 @@
|
|
| 53 |
|
| 54 |
방법 블록: Line 1은 task-head baselines(Minimal, Neural MLP)입니다. Line 2는 aligned baseline heads(metadata simple/NN, raw-feature simple/NN), Qwen3-Omni series(Qwen3-Omni v6 LoRA), Cosmos3 series(Cosmos3-Super Reasoner, Cosmos3-Nano Future Window)로 분리됩니다. Qwen3 v1-v6은 Line 2 내부의 LoRA/eval lineage이며 project evidence lines와 다릅니다. 20-task matrix는 v6을 사용하고 v5는 pinned prior release입니다. Cosmos3-Super Forward-Dynamics LoRA는 별도의 adapter/weights/results artifact로 공개되며 20-task matrix method row에는 포함되지 않습니다.
|
| 55 |
|
| 56 |
-
입구: [
|
| 57 |
|
| 58 |
## 빠른 경로
|
| 59 |
|
| 60 |
| 목표 | 시작점 |
|
| 61 |
| --- | --- |
|
| 62 |
-
| 프로젝트 빠르게 이해 | [
|
| 63 |
-
| 공개 표면 선택 | [
|
| 64 |
-
| 20개 과제 확인 | [
|
| 65 |
-
| 결과 비교 | [
|
| 66 |
-
| 샘플 하나 검사 | [
|
| 67 |
-
| 세 foundation pipeline 읽기 | [
|
| 68 |
-
| 재현 및 감사 | [
|
| 69 |
|
| 70 |
## 구조
|
| 71 |
|
|
|
|
| 53 |
|
| 54 |
방법 블록: Line 1은 task-head baselines(Minimal, Neural MLP)입니다. Line 2는 aligned baseline heads(metadata simple/NN, raw-feature simple/NN), Qwen3-Omni series(Qwen3-Omni v6 LoRA), Cosmos3 series(Cosmos3-Super Reasoner, Cosmos3-Nano Future Window)로 분리됩니다. Qwen3 v1-v6은 Line 2 내부의 LoRA/eval lineage이며 project evidence lines와 다릅니다. 20-task matrix는 v6을 사용하고 v5는 pinned prior release입니다. Cosmos3-Super Forward-Dynamics LoRA는 별도의 adapter/weights/results artifact로 공개되며 20-task matrix method row에는 포함되지 않습니다.
|
| 55 |
|
| 56 |
+
입구: [두 증거 라인 가이드](TWO_EVIDENCE_LINES.md), [두 라인 데이터](docs/data/two_evidence_lines.json), [180개 결과 표](docs/data/task_method_20_result_matrix.json), [두 라인 결과 요약](docs/data/two_evidence_line_result_summary.json).
|
| 57 |
|
| 58 |
## 빠른 경로
|
| 59 |
|
| 60 |
| 목표 | 시작점 |
|
| 61 |
| --- | --- |
|
| 62 |
+
| 프로젝트 빠르게 이해 | [프로젝트 요약](PROJECT_BRIEF.md), [프로젝트 상태](PROJECT_STATUS.md) |
|
| 63 |
+
| 공개 표면 선택 | [공개 리더 맵](PUBLIC_READER_MAP.md) |
|
| 64 |
+
| 20개 과제 확인 | [20개 과제 가이드](TASK_SUITE_20.md), [과제 계약 데이터](docs/data/task_suite_20.json) |
|
| 65 |
+
| 결과 비교 | [연구 결과 요약](RESEARCH_TAKEAWAYS.md), [180개 결과 표](docs/data/task_method_20_result_matrix.json) |
|
| 66 |
+
| 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) |
|
| 67 |
+
| 세 foundation pipeline 읽기 | [세 foundation pipeline](THREE_FOUNDATION_PIPELINES.md), [pipeline 계약 데이터](docs/data/three_foundation_pipelines.json) |
|
| 68 |
+
| 재현 및 감사 | [재현 가이드](REPRODUCIBILITY.md), [증거 계약](EVIDENCE_CONTRACT.md) |
|
| 69 |
|
| 70 |
## 구조
|
| 71 |
|
README.pt.md
CHANGED
|
@@ -53,19 +53,19 @@ Fórmula: 2 métodos de um episódio x 20 tarefas = 40; 7 métodos de 128 episó
|
|
| 53 |
|
| 54 |
Blocos de métodos: a linha 1 contém task-head baselines (Minimal, Neural MLP). A linha 2 separa aligned baseline heads (metadata simple/NN, raw-feature simple/NN), a série Qwen3-Omni (Qwen3-Omni v6 LoRA) e a série Cosmos3 (Cosmos3-Super Reasoner, Cosmos3-Nano Future Window). Qwen3 v1-v6 é uma linhagem LoRA/eval interna à linha 2, não as evidence lines do projeto; a matriz de 20 tarefas usa v6 e v5 fica como pinned prior release. Cosmos3-Super Forward-Dynamics LoRA é publicado como adapter/pesos/resultados separado e não conta como linha de método na matriz de 20 tarefas.
|
| 55 |
|
| 56 |
-
Entradas: [
|
| 57 |
|
| 58 |
## Rota Rápida
|
| 59 |
|
| 60 |
| Objetivo | Entrada |
|
| 61 |
| --- | --- |
|
| 62 |
-
| Entender o projeto | [
|
| 63 |
-
| Escolher a superfície pública correta | [
|
| 64 |
-
| Ver as 20 tarefas | [
|
| 65 |
-
| Comparar resultados | [
|
| 66 |
-
| Inspecionar uma amostra | [
|
| 67 |
-
| Ler as três pipelines foundation | [
|
| 68 |
-
| Reproduzir ou auditar | [
|
| 69 |
|
| 70 |
## Estrutura
|
| 71 |
|
|
|
|
| 53 |
|
| 54 |
Blocos de métodos: a linha 1 contém task-head baselines (Minimal, Neural MLP). A linha 2 separa aligned baseline heads (metadata simple/NN, raw-feature simple/NN), a série Qwen3-Omni (Qwen3-Omni v6 LoRA) e a série Cosmos3 (Cosmos3-Super Reasoner, Cosmos3-Nano Future Window). Qwen3 v1-v6 é uma linhagem LoRA/eval interna à linha 2, não as evidence lines do projeto; a matriz de 20 tarefas usa v6 e v5 fica como pinned prior release. Cosmos3-Super Forward-Dynamics LoRA é publicado como adapter/pesos/resultados separado e não conta como linha de método na matriz de 20 tarefas.
|
| 55 |
|
| 56 |
+
Entradas: [guia de duas linhas de evidencia](TWO_EVIDENCE_LINES.md), [dados das duas linhas](docs/data/two_evidence_lines.json), [tabela de 180 resultados](docs/data/task_method_20_result_matrix.json), [resumo de resultados das duas linhas](docs/data/two_evidence_line_result_summary.json).
|
| 57 |
|
| 58 |
## Rota Rápida
|
| 59 |
|
| 60 |
| Objetivo | Entrada |
|
| 61 |
| --- | --- |
|
| 62 |
+
| Entender o projeto | [resumo do projeto](PROJECT_BRIEF.md), [status do projeto](PROJECT_STATUS.md) |
|
| 63 |
+
| Escolher a superfície pública correta | [mapa publico de leitura](PUBLIC_READER_MAP.md) |
|
| 64 |
+
| Ver as 20 tarefas | [guia das 20 tarefas](TASK_SUITE_20.md), [dados dos contratos de tarefa](docs/data/task_suite_20.json) |
|
| 65 |
+
| Comparar resultados | [conclusões de pesquisa](RESEARCH_TAKEAWAYS.md), [tabela de 180 resultados](docs/data/task_method_20_result_matrix.json) |
|
| 66 |
+
| Inspecionar uma amostra | [explorador de um episódio](https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/single_episode_explorer.html), [mapa dos arquivos de amostra](docs/data/raw_sample_files.json) |
|
| 67 |
+
| Ler as três pipelines foundation | [três pipelines foundation](THREE_FOUNDATION_PIPELINES.md), [dados dos contratos de pipeline](docs/data/three_foundation_pipelines.json) |
|
| 68 |
+
| Reproduzir ou auditar | [guia de reprodutibilidade](REPRODUCIBILITY.md), [contrato de evidencia](EVIDENCE_CONTRACT.md) |
|
| 69 |
|
| 70 |
## Estrutura
|
| 71 |
|
README.zh.md
CHANGED
|
@@ -53,19 +53,19 @@
|
|
| 53 |
|
| 54 |
方法块:Line 1 是 task-head baselines(Minimal、Neural MLP)。Line 2 分成 aligned baseline heads(metadata simple/NN、raw-feature simple/NN)、Qwen3-Omni series(Qwen3-Omni v6 LoRA)和 Cosmos3 series(Cosmos3-Super Reasoner、Cosmos3-Nano Future Window)。Qwen3 run v1-v6 是 Line 2 内部的 LoRA/评估演进线,不是项目的 evidence lines;20-task matrix 使用 v6,v5 是 pinned prior release。Cosmos3-Super Forward-Dynamics LoRA 是单独发布的 adapter 权重/结果,不计入 20-task matrix method row。
|
| 55 |
|
| 56 |
-
入口:[
|
| 57 |
|
| 58 |
## 快速入口
|
| 59 |
|
| 60 |
| 目标 | 入口 |
|
| 61 |
| --- | --- |
|
| 62 |
-
| 快速理解项目 | [
|
| 63 |
-
| 选择 GitHub / 网页 / HF 的正确入口 | [
|
| 64 |
-
| 查看 20 个任务定义 | [
|
| 65 |
-
| 比较结果 | [
|
| 66 |
-
| 查看一个 sample 的全部文件关系 | [
|
| 67 |
-
| 阅读三个基础模型方向 | [
|
| 68 |
-
| 复现与审计 | [
|
| 69 |
|
| 70 |
## 核心结构
|
| 71 |
|
|
|
|
| 53 |
|
| 54 |
方法块:Line 1 是 task-head baselines(Minimal、Neural MLP)。Line 2 分成 aligned baseline heads(metadata simple/NN、raw-feature simple/NN)、Qwen3-Omni series(Qwen3-Omni v6 LoRA)和 Cosmos3 series(Cosmos3-Super Reasoner、Cosmos3-Nano Future Window)。Qwen3 run v1-v6 是 Line 2 内部的 LoRA/评估演进线,不是项目的 evidence lines;20-task matrix 使用 v6,v5 是 pinned prior release。Cosmos3-Super Forward-Dynamics LoRA 是单独发布的 adapter 权重/结果,不计入 20-task matrix method row。
|
| 55 |
|
| 56 |
+
入口:[双证据线说明](TWO_EVIDENCE_LINES.md)、[双证据线数据](docs/data/two_evidence_lines.json)、[180 条结果表](docs/data/task_method_20_result_matrix.json)、[双线结果摘要](docs/data/two_evidence_line_result_summary.json)。
|
| 57 |
|
| 58 |
## 快速入口
|
| 59 |
|
| 60 |
| 目标 | 入口 |
|
| 61 |
| --- | --- |
|
| 62 |
+
| 快速理解项目 | [项目简报](PROJECT_BRIEF.md), [项目状态](PROJECT_STATUS.md) |
|
| 63 |
+
| 选择 GitHub / 网页 / HF 的正确入口 | [公共阅读地图](PUBLIC_READER_MAP.md) |
|
| 64 |
+
| 查看 20 个任务定义 | [20 任务指南](TASK_SUITE_20.md), [任务契约数据](docs/data/task_suite_20.json) |
|
| 65 |
+
| 比较结果 | [研究结论](RESEARCH_TAKEAWAYS.md), [180 条结果表](docs/data/task_method_20_result_matrix.json) |
|
| 66 |
+
| 查看一个 sample 的全部文件关系 | [单 episode 浏览器](https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/single_episode_explorer.html), [sample 文件地图](docs/data/raw_sample_files.json) |
|
| 67 |
+
| 阅读三个基础模型方向 | [三条基础模型 pipeline](THREE_FOUNDATION_PIPELINES.md), [pipeline 契约数据](docs/data/three_foundation_pipelines.json) |
|
| 68 |
+
| 复现与审计 | [复现指南](REPRODUCIBILITY.md), [证据契约](EVIDENCE_CONTRACT.md) |
|
| 69 |
|
| 70 |
## 核心结构
|
| 71 |
|
data/artifact_index.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Task Suite Artifact Index",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"status": "pass",
|
| 5 |
"artifact_count": 228,
|
| 6 |
"missing": [],
|
|
@@ -632,7 +632,7 @@
|
|
| 632 |
"shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
|
| 633 |
"exists": true,
|
| 634 |
"bytes": 4432,
|
| 635 |
-
"sha256": "
|
| 636 |
},
|
| 637 |
{
|
| 638 |
"id": "source_alignment_validator",
|
|
@@ -1182,7 +1182,7 @@
|
|
| 1182 |
"shows": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
|
| 1183 |
"exists": true,
|
| 1184 |
"bytes": 8640,
|
| 1185 |
-
"sha256": "
|
| 1186 |
},
|
| 1187 |
{
|
| 1188 |
"id": "public_surface_qa",
|
|
@@ -1318,8 +1318,8 @@
|
|
| 1318 |
"surface": "repo",
|
| 1319 |
"shows": "Fetches the published GitHub/HF URLs and compares live hashes and public-card markers against the release assets.",
|
| 1320 |
"exists": true,
|
| 1321 |
-
"bytes":
|
| 1322 |
-
"sha256": "
|
| 1323 |
},
|
| 1324 |
{
|
| 1325 |
"id": "reproducibility_contract",
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Task Suite Artifact Index",
|
| 3 |
+
"generated_at_utc": "2026-06-23T00:20:39+00:00",
|
| 4 |
"status": "pass",
|
| 5 |
"artifact_count": 228,
|
| 6 |
"missing": [],
|
|
|
|
| 632 |
"shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
|
| 633 |
"exists": true,
|
| 634 |
"bytes": 4432,
|
| 635 |
+
"sha256": "682e94bd7cb2d5455b4ac782414ccf5f5b35ca094ae5e332f5b6f01dc41b26e2"
|
| 636 |
},
|
| 637 |
{
|
| 638 |
"id": "source_alignment_validator",
|
|
|
|
| 1182 |
"shows": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
|
| 1183 |
"exists": true,
|
| 1184 |
"bytes": 8640,
|
| 1185 |
+
"sha256": "bd8ce2d14b03c39470970da5edd688c3e0a410f89bf5c5a53f521c7e77eba5e3"
|
| 1186 |
},
|
| 1187 |
{
|
| 1188 |
"id": "public_surface_qa",
|
|
|
|
| 1318 |
"surface": "repo",
|
| 1319 |
"shows": "Fetches the published GitHub/HF URLs and compares live hashes and public-card markers against the release assets.",
|
| 1320 |
"exists": true,
|
| 1321 |
+
"bytes": 69735,
|
| 1322 |
+
"sha256": "cfdbdc73ba095f1bc80eb0459962071065273320e25b73c19975e919d37b3add"
|
| 1323 |
},
|
| 1324 |
{
|
| 1325 |
"id": "reproducibility_contract",
|
data/public_surface_qa.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Public Project Surface",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
|
| 6 |
"checks": [
|
| 7 |
{
|
|
@@ -18,7 +18,7 @@
|
|
| 18 |
"website_integrity": {
|
| 19 |
"exists": true,
|
| 20 |
"status": "pass",
|
| 21 |
-
"generated_at_utc": "2026-06-
|
| 22 |
},
|
| 23 |
"rendered_site_check": {
|
| 24 |
"exists": true,
|
|
@@ -28,12 +28,12 @@
|
|
| 28 |
"task_surface_integrity": {
|
| 29 |
"exists": true,
|
| 30 |
"status": "pass",
|
| 31 |
-
"generated_at_utc": "2026-06-
|
| 32 |
},
|
| 33 |
"source_alignment": {
|
| 34 |
"exists": true,
|
| 35 |
"status": "pass",
|
| 36 |
-
"generated_at_utc": "2026-06-
|
| 37 |
},
|
| 38 |
"scale_up_status": {
|
| 39 |
"exists": true,
|
|
@@ -43,12 +43,12 @@
|
|
| 43 |
"publication_package": {
|
| 44 |
"exists": true,
|
| 45 |
"status": "pass",
|
| 46 |
-
"generated_at_utc": "2026-06-
|
| 47 |
},
|
| 48 |
"mirror_parity": {
|
| 49 |
"exists": true,
|
| 50 |
"status": "pass",
|
| 51 |
-
"generated_at_utc": "2026-06-
|
| 52 |
}
|
| 53 |
},
|
| 54 |
"failures": {}
|
|
@@ -131,14 +131,14 @@
|
|
| 131 |
"data/public_surface_qa.json": 4,
|
| 132 |
"data/research_roadmap.json": 12,
|
| 133 |
"data/task_suite_enhancement_128.json": 22,
|
| 134 |
-
"data/task_suite_20.json":
|
| 135 |
"data/two_evidence_lines.json": 5,
|
| 136 |
"data/two_evidence_line_result_summary.json": 10,
|
| 137 |
-
"data/unified_task_model_radar.json":
|
| 138 |
-
"data/single_episode_task_model_radar.json":
|
| 139 |
-
"data/episode128_task_model_radar.json":
|
| 140 |
-
"data/task_method_20_result_matrix.json":
|
| 141 |
-
"data/task_method_20_gap_audit.json":
|
| 142 |
"data/language_versions.json": 3,
|
| 143 |
"assets/charts/two_evidence_line_map.svg": 5,
|
| 144 |
"assets/charts/unified_task_model_radar.svg": 19,
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Public Project Surface",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-23T00:20:38+00:00",
|
| 5 |
"scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
|
| 6 |
"checks": [
|
| 7 |
{
|
|
|
|
| 18 |
"website_integrity": {
|
| 19 |
"exists": true,
|
| 20 |
"status": "pass",
|
| 21 |
+
"generated_at_utc": "2026-06-23T00:20:03+00:00"
|
| 22 |
},
|
| 23 |
"rendered_site_check": {
|
| 24 |
"exists": true,
|
|
|
|
| 28 |
"task_surface_integrity": {
|
| 29 |
"exists": true,
|
| 30 |
"status": "pass",
|
| 31 |
+
"generated_at_utc": "2026-06-23T00:20:01+00:00"
|
| 32 |
},
|
| 33 |
"source_alignment": {
|
| 34 |
"exists": true,
|
| 35 |
"status": "pass",
|
| 36 |
+
"generated_at_utc": "2026-06-23T00:20:01+00:00"
|
| 37 |
},
|
| 38 |
"scale_up_status": {
|
| 39 |
"exists": true,
|
|
|
|
| 43 |
"publication_package": {
|
| 44 |
"exists": true,
|
| 45 |
"status": "pass",
|
| 46 |
+
"generated_at_utc": "2026-06-23T00:20:20+00:00"
|
| 47 |
},
|
| 48 |
"mirror_parity": {
|
| 49 |
"exists": true,
|
| 50 |
"status": "pass",
|
| 51 |
+
"generated_at_utc": "2026-06-22T23:51:00+00:00"
|
| 52 |
}
|
| 53 |
},
|
| 54 |
"failures": {}
|
|
|
|
| 131 |
"data/public_surface_qa.json": 4,
|
| 132 |
"data/research_roadmap.json": 12,
|
| 133 |
"data/task_suite_enhancement_128.json": 22,
|
| 134 |
+
"data/task_suite_20.json": 36,
|
| 135 |
"data/two_evidence_lines.json": 5,
|
| 136 |
"data/two_evidence_line_result_summary.json": 10,
|
| 137 |
+
"data/unified_task_model_radar.json": 22,
|
| 138 |
+
"data/single_episode_task_model_radar.json": 15,
|
| 139 |
+
"data/episode128_task_model_radar.json": 14,
|
| 140 |
+
"data/task_method_20_result_matrix.json": 28,
|
| 141 |
+
"data/task_method_20_gap_audit.json": 23,
|
| 142 |
"data/language_versions.json": 3,
|
| 143 |
"assets/charts/two_evidence_line_map.svg": 5,
|
| 144 |
"assets/charts/unified_task_model_radar.svg": 19,
|
data/publication_audit.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"checks": [
|
| 5 |
{
|
| 6 |
"name": "required_publication_assets_present",
|
|
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
+
"generated_at_utc": "2026-06-23T00:20:20+00:00",
|
| 4 |
"checks": [
|
| 5 |
{
|
| 6 |
"name": "required_publication_assets_present",
|
data/quality_gates.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Release Checks",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
|
| 6 |
"automated_gates": [
|
| 7 |
{
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Release Checks",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-23T00:20:38+00:00",
|
| 5 |
"rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
|
| 6 |
"automated_gates": [
|
| 7 |
{
|
data/source_alignment_audit.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Source Alignment Note",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
|
| 6 |
"alignment_summary": {
|
| 7 |
"full_dataset_repo": "ropedia-ai/xperience-10m",
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Source Alignment Note",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-23T00:20:01+00:00",
|
| 5 |
"alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
|
| 6 |
"alignment_summary": {
|
| 7 |
"full_dataset_repo": "ropedia-ai/xperience-10m",
|
data/task_surface_integrity.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"summary": {
|
| 5 |
"original_walkthrough_task_count": 12,
|
| 6 |
"expected_original_walkthrough_task_count": 12,
|
|
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
+
"generated_at_utc": "2026-06-23T00:20:01+00:00",
|
| 4 |
"summary": {
|
| 5 |
"original_walkthrough_task_count": 12,
|
| 6 |
"expected_original_walkthrough_task_count": 12,
|
data/website_integrity.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"docs_root": "docs",
|
| 5 |
"site_base": "/ropedia-xperience-10m-task-suite/",
|
| 6 |
"summary": {
|
|
@@ -80,8 +80,8 @@
|
|
| 80 |
"name": "project_overview_precedes_progress_ledger",
|
| 81 |
"status": "pass",
|
| 82 |
"reason": "The project overview should appear before the deeper progress ledger.",
|
| 83 |
-
"overview_index":
|
| 84 |
-
"evidence_index":
|
| 85 |
},
|
| 86 |
{
|
| 87 |
"name": "project_status_links_json",
|
|
@@ -159,9 +159,9 @@
|
|
| 159 |
"name": "evaluation_protocol_between_overview_and_progress",
|
| 160 |
"status": "pass",
|
| 161 |
"reason": "The evaluation protocol should appear before the deeper evidence ledger.",
|
| 162 |
-
"overview_index":
|
| 163 |
-
"protocol_index":
|
| 164 |
-
"evidence_index":
|
| 165 |
},
|
| 166 |
{
|
| 167 |
"name": "evaluation_protocol_links_json",
|
|
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
+
"generated_at_utc": "2026-06-23T00:20:03+00:00",
|
| 4 |
"docs_root": "docs",
|
| 5 |
"site_base": "/ropedia-xperience-10m-task-suite/",
|
| 6 |
"summary": {
|
|
|
|
| 80 |
"name": "project_overview_precedes_progress_ledger",
|
| 81 |
"status": "pass",
|
| 82 |
"reason": "The project overview should appear before the deeper progress ledger.",
|
| 83 |
+
"overview_index": 185801,
|
| 84 |
+
"evidence_index": 244209
|
| 85 |
},
|
| 86 |
{
|
| 87 |
"name": "project_status_links_json",
|
|
|
|
| 159 |
"name": "evaluation_protocol_between_overview_and_progress",
|
| 160 |
"status": "pass",
|
| 161 |
"reason": "The evaluation protocol should appear before the deeper evidence ledger.",
|
| 162 |
+
"overview_index": 185801,
|
| 163 |
+
"protocol_index": 240414,
|
| 164 |
+
"evidence_index": 244209
|
| 165 |
},
|
| 166 |
{
|
| 167 |
"name": "evaluation_protocol_links_json",
|
docs/data/artifact_index.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Task Suite Artifact Index",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"status": "pass",
|
| 5 |
"artifact_count": 228,
|
| 6 |
"missing": [],
|
|
@@ -632,7 +632,7 @@
|
|
| 632 |
"shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
|
| 633 |
"exists": true,
|
| 634 |
"bytes": 4432,
|
| 635 |
-
"sha256": "
|
| 636 |
},
|
| 637 |
{
|
| 638 |
"id": "source_alignment_validator",
|
|
@@ -1182,7 +1182,7 @@
|
|
| 1182 |
"shows": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
|
| 1183 |
"exists": true,
|
| 1184 |
"bytes": 8640,
|
| 1185 |
-
"sha256": "
|
| 1186 |
},
|
| 1187 |
{
|
| 1188 |
"id": "public_surface_qa",
|
|
@@ -1318,8 +1318,8 @@
|
|
| 1318 |
"surface": "repo",
|
| 1319 |
"shows": "Fetches the published GitHub/HF URLs and compares live hashes and public-card markers against the release assets.",
|
| 1320 |
"exists": true,
|
| 1321 |
-
"bytes":
|
| 1322 |
-
"sha256": "
|
| 1323 |
},
|
| 1324 |
{
|
| 1325 |
"id": "reproducibility_contract",
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Task Suite Artifact Index",
|
| 3 |
+
"generated_at_utc": "2026-06-23T00:20:39+00:00",
|
| 4 |
"status": "pass",
|
| 5 |
"artifact_count": 228,
|
| 6 |
"missing": [],
|
|
|
|
| 632 |
"shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
|
| 633 |
"exists": true,
|
| 634 |
"bytes": 4432,
|
| 635 |
+
"sha256": "682e94bd7cb2d5455b4ac782414ccf5f5b35ca094ae5e332f5b6f01dc41b26e2"
|
| 636 |
},
|
| 637 |
{
|
| 638 |
"id": "source_alignment_validator",
|
|
|
|
| 1182 |
"shows": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
|
| 1183 |
"exists": true,
|
| 1184 |
"bytes": 8640,
|
| 1185 |
+
"sha256": "bd8ce2d14b03c39470970da5edd688c3e0a410f89bf5c5a53f521c7e77eba5e3"
|
| 1186 |
},
|
| 1187 |
{
|
| 1188 |
"id": "public_surface_qa",
|
|
|
|
| 1318 |
"surface": "repo",
|
| 1319 |
"shows": "Fetches the published GitHub/HF URLs and compares live hashes and public-card markers against the release assets.",
|
| 1320 |
"exists": true,
|
| 1321 |
+
"bytes": 69735,
|
| 1322 |
+
"sha256": "cfdbdc73ba095f1bc80eb0459962071065273320e25b73c19975e919d37b3add"
|
| 1323 |
},
|
| 1324 |
{
|
| 1325 |
"id": "reproducibility_contract",
|
docs/data/public_surface_qa.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Public Project Surface",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
|
| 6 |
"checks": [
|
| 7 |
{
|
|
@@ -18,7 +18,7 @@
|
|
| 18 |
"website_integrity": {
|
| 19 |
"exists": true,
|
| 20 |
"status": "pass",
|
| 21 |
-
"generated_at_utc": "2026-06-
|
| 22 |
},
|
| 23 |
"rendered_site_check": {
|
| 24 |
"exists": true,
|
|
@@ -28,12 +28,12 @@
|
|
| 28 |
"task_surface_integrity": {
|
| 29 |
"exists": true,
|
| 30 |
"status": "pass",
|
| 31 |
-
"generated_at_utc": "2026-06-
|
| 32 |
},
|
| 33 |
"source_alignment": {
|
| 34 |
"exists": true,
|
| 35 |
"status": "pass",
|
| 36 |
-
"generated_at_utc": "2026-06-
|
| 37 |
},
|
| 38 |
"scale_up_status": {
|
| 39 |
"exists": true,
|
|
@@ -43,12 +43,12 @@
|
|
| 43 |
"publication_package": {
|
| 44 |
"exists": true,
|
| 45 |
"status": "pass",
|
| 46 |
-
"generated_at_utc": "2026-06-
|
| 47 |
},
|
| 48 |
"mirror_parity": {
|
| 49 |
"exists": true,
|
| 50 |
"status": "pass",
|
| 51 |
-
"generated_at_utc": "2026-06-
|
| 52 |
}
|
| 53 |
},
|
| 54 |
"failures": {}
|
|
@@ -131,14 +131,14 @@
|
|
| 131 |
"data/public_surface_qa.json": 4,
|
| 132 |
"data/research_roadmap.json": 12,
|
| 133 |
"data/task_suite_enhancement_128.json": 22,
|
| 134 |
-
"data/task_suite_20.json":
|
| 135 |
"data/two_evidence_lines.json": 5,
|
| 136 |
"data/two_evidence_line_result_summary.json": 10,
|
| 137 |
-
"data/unified_task_model_radar.json":
|
| 138 |
-
"data/single_episode_task_model_radar.json":
|
| 139 |
-
"data/episode128_task_model_radar.json":
|
| 140 |
-
"data/task_method_20_result_matrix.json":
|
| 141 |
-
"data/task_method_20_gap_audit.json":
|
| 142 |
"data/language_versions.json": 3,
|
| 143 |
"assets/charts/two_evidence_line_map.svg": 5,
|
| 144 |
"assets/charts/unified_task_model_radar.svg": 19,
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Public Project Surface",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-23T00:20:38+00:00",
|
| 5 |
"scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
|
| 6 |
"checks": [
|
| 7 |
{
|
|
|
|
| 18 |
"website_integrity": {
|
| 19 |
"exists": true,
|
| 20 |
"status": "pass",
|
| 21 |
+
"generated_at_utc": "2026-06-23T00:20:03+00:00"
|
| 22 |
},
|
| 23 |
"rendered_site_check": {
|
| 24 |
"exists": true,
|
|
|
|
| 28 |
"task_surface_integrity": {
|
| 29 |
"exists": true,
|
| 30 |
"status": "pass",
|
| 31 |
+
"generated_at_utc": "2026-06-23T00:20:01+00:00"
|
| 32 |
},
|
| 33 |
"source_alignment": {
|
| 34 |
"exists": true,
|
| 35 |
"status": "pass",
|
| 36 |
+
"generated_at_utc": "2026-06-23T00:20:01+00:00"
|
| 37 |
},
|
| 38 |
"scale_up_status": {
|
| 39 |
"exists": true,
|
|
|
|
| 43 |
"publication_package": {
|
| 44 |
"exists": true,
|
| 45 |
"status": "pass",
|
| 46 |
+
"generated_at_utc": "2026-06-23T00:20:20+00:00"
|
| 47 |
},
|
| 48 |
"mirror_parity": {
|
| 49 |
"exists": true,
|
| 50 |
"status": "pass",
|
| 51 |
+
"generated_at_utc": "2026-06-22T23:51:00+00:00"
|
| 52 |
}
|
| 53 |
},
|
| 54 |
"failures": {}
|
|
|
|
| 131 |
"data/public_surface_qa.json": 4,
|
| 132 |
"data/research_roadmap.json": 12,
|
| 133 |
"data/task_suite_enhancement_128.json": 22,
|
| 134 |
+
"data/task_suite_20.json": 36,
|
| 135 |
"data/two_evidence_lines.json": 5,
|
| 136 |
"data/two_evidence_line_result_summary.json": 10,
|
| 137 |
+
"data/unified_task_model_radar.json": 22,
|
| 138 |
+
"data/single_episode_task_model_radar.json": 15,
|
| 139 |
+
"data/episode128_task_model_radar.json": 14,
|
| 140 |
+
"data/task_method_20_result_matrix.json": 28,
|
| 141 |
+
"data/task_method_20_gap_audit.json": 23,
|
| 142 |
"data/language_versions.json": 3,
|
| 143 |
"assets/charts/two_evidence_line_map.svg": 5,
|
| 144 |
"assets/charts/unified_task_model_radar.svg": 19,
|
docs/data/publication_audit.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"checks": [
|
| 5 |
{
|
| 6 |
"name": "required_publication_assets_present",
|
|
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
+
"generated_at_utc": "2026-06-23T00:20:20+00:00",
|
| 4 |
"checks": [
|
| 5 |
{
|
| 6 |
"name": "required_publication_assets_present",
|
docs/data/quality_gates.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Release Checks",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
|
| 6 |
"automated_gates": [
|
| 7 |
{
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Release Checks",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-23T00:20:38+00:00",
|
| 5 |
"rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
|
| 6 |
"automated_gates": [
|
| 7 |
{
|
docs/data/source_alignment_audit.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Source Alignment Note",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
|
| 6 |
"alignment_summary": {
|
| 7 |
"full_dataset_repo": "ropedia-ai/xperience-10m",
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Source Alignment Note",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-23T00:20:01+00:00",
|
| 5 |
"alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
|
| 6 |
"alignment_summary": {
|
| 7 |
"full_dataset_repo": "ropedia-ai/xperience-10m",
|
docs/data/task_surface_integrity.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"summary": {
|
| 5 |
"original_walkthrough_task_count": 12,
|
| 6 |
"expected_original_walkthrough_task_count": 12,
|
|
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
+
"generated_at_utc": "2026-06-23T00:20:01+00:00",
|
| 4 |
"summary": {
|
| 5 |
"original_walkthrough_task_count": 12,
|
| 6 |
"expected_original_walkthrough_task_count": 12,
|
docs/data/website_integrity.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"docs_root": "docs",
|
| 5 |
"site_base": "/ropedia-xperience-10m-task-suite/",
|
| 6 |
"summary": {
|
|
@@ -80,8 +80,8 @@
|
|
| 80 |
"name": "project_overview_precedes_progress_ledger",
|
| 81 |
"status": "pass",
|
| 82 |
"reason": "The project overview should appear before the deeper progress ledger.",
|
| 83 |
-
"overview_index":
|
| 84 |
-
"evidence_index":
|
| 85 |
},
|
| 86 |
{
|
| 87 |
"name": "project_status_links_json",
|
|
@@ -159,9 +159,9 @@
|
|
| 159 |
"name": "evaluation_protocol_between_overview_and_progress",
|
| 160 |
"status": "pass",
|
| 161 |
"reason": "The evaluation protocol should appear before the deeper evidence ledger.",
|
| 162 |
-
"overview_index":
|
| 163 |
-
"protocol_index":
|
| 164 |
-
"evidence_index":
|
| 165 |
},
|
| 166 |
{
|
| 167 |
"name": "evaluation_protocol_links_json",
|
|
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
+
"generated_at_utc": "2026-06-23T00:20:03+00:00",
|
| 4 |
"docs_root": "docs",
|
| 5 |
"site_base": "/ropedia-xperience-10m-task-suite/",
|
| 6 |
"summary": {
|
|
|
|
| 80 |
"name": "project_overview_precedes_progress_ledger",
|
| 81 |
"status": "pass",
|
| 82 |
"reason": "The project overview should appear before the deeper progress ledger.",
|
| 83 |
+
"overview_index": 185801,
|
| 84 |
+
"evidence_index": 244209
|
| 85 |
},
|
| 86 |
{
|
| 87 |
"name": "project_status_links_json",
|
|
|
|
| 159 |
"name": "evaluation_protocol_between_overview_and_progress",
|
| 160 |
"status": "pass",
|
| 161 |
"reason": "The evaluation protocol should appear before the deeper evidence ledger.",
|
| 162 |
+
"overview_index": 185801,
|
| 163 |
+
"protocol_index": 240414,
|
| 164 |
+
"evidence_index": 244209
|
| 165 |
},
|
| 166 |
{
|
| 167 |
"name": "evaluation_protocol_links_json",
|
docs/index.html
CHANGED
|
@@ -2139,6 +2139,46 @@
|
|
| 2139 |
font-size: 13px;
|
| 2140 |
line-height: 1.48;
|
| 2141 |
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2142 |
.citation-ledger {
|
| 2143 |
margin-top: 8px;
|
| 2144 |
}
|
|
@@ -7639,6 +7679,13 @@
|
|
| 7639 |
<a href="#neural">Neural heads</a>
|
| 7640 |
<a href="#diagnostics">Diagnostic charts</a>
|
| 7641 |
</nav>
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 7642 |
<div class="result-rules-panel" aria-label="Result reading rules">
|
| 7643 |
<article>
|
| 7644 |
<small>cite this</small>
|
|
|
|
| 2139 |
font-size: 13px;
|
| 2140 |
line-height: 1.48;
|
| 2141 |
}
|
| 2142 |
+
.result-citation-banner {
|
| 2143 |
+
display: grid;
|
| 2144 |
+
grid-template-columns: auto minmax(0, 1fr);
|
| 2145 |
+
gap: 14px;
|
| 2146 |
+
align-items: start;
|
| 2147 |
+
margin: 20px 0 18px;
|
| 2148 |
+
border: 1px solid rgba(155, 184, 255, 0.28);
|
| 2149 |
+
border-radius: var(--radius);
|
| 2150 |
+
background:
|
| 2151 |
+
radial-gradient(circle at 8% 0%, rgba(155, 184, 255, 0.16), transparent 36%),
|
| 2152 |
+
linear-gradient(180deg, rgba(155, 184, 255, 0.08), rgba(2, 5, 2, 0.74));
|
| 2153 |
+
padding: 16px;
|
| 2154 |
+
}
|
| 2155 |
+
.result-citation-banner span {
|
| 2156 |
+
width: 42px;
|
| 2157 |
+
height: 42px;
|
| 2158 |
+
display: inline-flex;
|
| 2159 |
+
align-items: center;
|
| 2160 |
+
justify-content: center;
|
| 2161 |
+
border: 1px solid rgba(155, 184, 255, 0.34);
|
| 2162 |
+
border-radius: 10px;
|
| 2163 |
+
background: rgba(155, 184, 255, 0.10);
|
| 2164 |
+
color: #c9d7ff;
|
| 2165 |
+
font-family: var(--font-mono);
|
| 2166 |
+
font-size: 16px;
|
| 2167 |
+
font-weight: 900;
|
| 2168 |
+
}
|
| 2169 |
+
.result-citation-banner strong {
|
| 2170 |
+
display: block;
|
| 2171 |
+
color: var(--ink);
|
| 2172 |
+
font-family: var(--font-ui);
|
| 2173 |
+
font-size: 18px;
|
| 2174 |
+
line-height: 1.15;
|
| 2175 |
+
}
|
| 2176 |
+
.result-citation-banner p {
|
| 2177 |
+
margin: 6px 0 0;
|
| 2178 |
+
color: var(--muted);
|
| 2179 |
+
font-size: 13px;
|
| 2180 |
+
line-height: 1.5;
|
| 2181 |
+
}
|
| 2182 |
.citation-ledger {
|
| 2183 |
margin-top: 8px;
|
| 2184 |
}
|
|
|
|
| 7679 |
<a href="#neural">Neural heads</a>
|
| 7680 |
<a href="#diagnostics">Diagnostic charts</a>
|
| 7681 |
</nav>
|
| 7682 |
+
<div class="result-citation-banner" role="note" aria-label="Result citation rule">
|
| 7683 |
+
<span>i</span>
|
| 7684 |
+
<div>
|
| 7685 |
+
<strong>Cite raw metric values; use radar values only as visual summaries.</strong>
|
| 7686 |
+
<p>The raw value keeps the task metric and scale, such as macro-F1, MRR, MAE, or R2. The normalized radar value is a 0-1 plotting transform for comparing shapes across tasks.</p>
|
| 7687 |
+
</div>
|
| 7688 |
+
</div>
|
| 7689 |
<div class="result-rules-panel" aria-label="Result reading rules">
|
| 7690 |
<article>
|
| 7691 |
<small>cite this</small>
|
index.html
CHANGED
|
@@ -2139,6 +2139,46 @@
|
|
| 2139 |
font-size: 13px;
|
| 2140 |
line-height: 1.48;
|
| 2141 |
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2142 |
.citation-ledger {
|
| 2143 |
margin-top: 8px;
|
| 2144 |
}
|
|
@@ -7639,6 +7679,13 @@
|
|
| 7639 |
<a href="#neural">Neural heads</a>
|
| 7640 |
<a href="#diagnostics">Diagnostic charts</a>
|
| 7641 |
</nav>
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 7642 |
<div class="result-rules-panel" aria-label="Result reading rules">
|
| 7643 |
<article>
|
| 7644 |
<small>cite this</small>
|
|
|
|
| 2139 |
font-size: 13px;
|
| 2140 |
line-height: 1.48;
|
| 2141 |
}
|
| 2142 |
+
.result-citation-banner {
|
| 2143 |
+
display: grid;
|
| 2144 |
+
grid-template-columns: auto minmax(0, 1fr);
|
| 2145 |
+
gap: 14px;
|
| 2146 |
+
align-items: start;
|
| 2147 |
+
margin: 20px 0 18px;
|
| 2148 |
+
border: 1px solid rgba(155, 184, 255, 0.28);
|
| 2149 |
+
border-radius: var(--radius);
|
| 2150 |
+
background:
|
| 2151 |
+
radial-gradient(circle at 8% 0%, rgba(155, 184, 255, 0.16), transparent 36%),
|
| 2152 |
+
linear-gradient(180deg, rgba(155, 184, 255, 0.08), rgba(2, 5, 2, 0.74));
|
| 2153 |
+
padding: 16px;
|
| 2154 |
+
}
|
| 2155 |
+
.result-citation-banner span {
|
| 2156 |
+
width: 42px;
|
| 2157 |
+
height: 42px;
|
| 2158 |
+
display: inline-flex;
|
| 2159 |
+
align-items: center;
|
| 2160 |
+
justify-content: center;
|
| 2161 |
+
border: 1px solid rgba(155, 184, 255, 0.34);
|
| 2162 |
+
border-radius: 10px;
|
| 2163 |
+
background: rgba(155, 184, 255, 0.10);
|
| 2164 |
+
color: #c9d7ff;
|
| 2165 |
+
font-family: var(--font-mono);
|
| 2166 |
+
font-size: 16px;
|
| 2167 |
+
font-weight: 900;
|
| 2168 |
+
}
|
| 2169 |
+
.result-citation-banner strong {
|
| 2170 |
+
display: block;
|
| 2171 |
+
color: var(--ink);
|
| 2172 |
+
font-family: var(--font-ui);
|
| 2173 |
+
font-size: 18px;
|
| 2174 |
+
line-height: 1.15;
|
| 2175 |
+
}
|
| 2176 |
+
.result-citation-banner p {
|
| 2177 |
+
margin: 6px 0 0;
|
| 2178 |
+
color: var(--muted);
|
| 2179 |
+
font-size: 13px;
|
| 2180 |
+
line-height: 1.5;
|
| 2181 |
+
}
|
| 2182 |
.citation-ledger {
|
| 2183 |
margin-top: 8px;
|
| 2184 |
}
|
|
|
|
| 7679 |
<a href="#neural">Neural heads</a>
|
| 7680 |
<a href="#diagnostics">Diagnostic charts</a>
|
| 7681 |
</nav>
|
| 7682 |
+
<div class="result-citation-banner" role="note" aria-label="Result citation rule">
|
| 7683 |
+
<span>i</span>
|
| 7684 |
+
<div>
|
| 7685 |
+
<strong>Cite raw metric values; use radar values only as visual summaries.</strong>
|
| 7686 |
+
<p>The raw value keeps the task metric and scale, such as macro-F1, MRR, MAE, or R2. The normalized radar value is a 0-1 plotting transform for comparing shapes across tasks.</p>
|
| 7687 |
+
</div>
|
| 7688 |
+
</div>
|
| 7689 |
<div class="result-rules-panel" aria-label="Result reading rules">
|
| 7690 |
<article>
|
| 7691 |
<small>cite this</small>
|
scripts/build_multilingual_public_readmes.py
CHANGED
|
@@ -147,7 +147,7 @@ The multilingual README files are reader guides. The canonical technical evidenc
|
|
| 147 |
|
| 148 |
## Public Structure: 20 Tasks / 4 Directions / 3 Pipelines
|
| 149 |
|
| 150 |
-
Read the project as three layers. The **20 tasks** are the scored benchmark contracts. The **4 directions** are reader-facing research groupings over those same tasks. The **3 foundation pipelines** are training recipes that reuse the same modalities, windows, and task targets.
|
| 151 |
|
| 152 |
Reader rule: if it has a metric, it is a **task**; if it explains what the evidence studies, it is a **direction**; if it describes model inputs and training targets, it is a **pipeline**.
|
| 153 |
|
|
@@ -343,32 +343,32 @@ Result entry points:
|
|
| 343 |
<tr>
|
| 344 |
<td><strong>Choose the public surface</strong></td>
|
| 345 |
<td><a href="PUBLIC_READER_MAP.md">Public reader map</a></td>
|
| 346 |
-
<td><a href="docs/data/public_reader_map.json">
|
| 347 |
</tr>
|
| 348 |
<tr>
|
| 349 |
<td><strong>Decode project terms</strong></td>
|
| 350 |
<td><a href="GLOSSARY.md">Glossary</a></td>
|
| 351 |
-
<td><a href="docs/data/glossary.json">glossary
|
| 352 |
</tr>
|
| 353 |
<tr>
|
| 354 |
<td><strong>Inspect the 20 tasks</strong></td>
|
| 355 |
-
<td><a href="TASK_SUITE_20.md">
|
| 356 |
-
<td><a href="docs/data/task_suite_20.json">
|
| 357 |
</tr>
|
| 358 |
<tr>
|
| 359 |
<td><strong>Compare results</strong></td>
|
| 360 |
<td><a href="RESEARCH_TAKEAWAYS.md">Research takeaways</a></td>
|
| 361 |
-
<td><a href="docs/data/two_evidence_line_result_summary.json">two-line result summary</a><br><a href="docs/data/task_method_20_result_matrix.json">
|
| 362 |
</tr>
|
| 363 |
<tr>
|
| 364 |
<td><strong>Understand one sample</strong></td>
|
| 365 |
<td><a href="https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/single_episode_explorer.html">Single-episode explorer</a></td>
|
| 366 |
-
<td><a href="docs/data/raw_sample_files.json">
|
| 367 |
</tr>
|
| 368 |
<tr>
|
| 369 |
<td><strong>Read foundation directions</strong></td>
|
| 370 |
<td><a href="THREE_FOUNDATION_PIPELINES.md">Three foundation pipelines</a></td>
|
| 371 |
-
<td><a href="docs/data/three_foundation_pipelines.json">
|
| 372 |
</tr>
|
| 373 |
<tr>
|
| 374 |
<td><strong>Reproduce or audit</strong></td>
|
|
@@ -403,19 +403,19 @@ LANGUAGE_GUIDES = {
|
|
| 403 |
|
| 404 |
方法块:Line 1 是 task-head baselines(Minimal、Neural MLP)。Line 2 分成 aligned baseline heads(metadata simple/NN、raw-feature simple/NN)、Qwen3-Omni series(Qwen3-Omni v6 LoRA)和 Cosmos3 series(Cosmos3-Super Reasoner、Cosmos3-Nano Future Window)。Qwen3 run v1-v6 是 Line 2 内部的 LoRA/评估演进线,不是项目的 evidence lines;20-task matrix 使用 v6,v5 是 pinned prior release。Cosmos3-Super Forward-Dynamics LoRA 是单独发布的 adapter 权重/结果,不计入 20-task matrix method row。
|
| 405 |
|
| 406 |
-
入口:[
|
| 407 |
|
| 408 |
## 快速入口
|
| 409 |
|
| 410 |
| 目标 | 入口 |
|
| 411 |
| --- | --- |
|
| 412 |
-
| 快速理解项目 | [
|
| 413 |
-
| 选择 GitHub / 网页 / HF 的正确入口 | [
|
| 414 |
-
| 查看 20 个任务定义 | [
|
| 415 |
-
| 比较结果 | [
|
| 416 |
-
| 查看一个 sample 的全部文件关系 | [
|
| 417 |
-
| 阅读三个基础模型方向 | [
|
| 418 |
-
| 复现与审计 | [
|
| 419 |
|
| 420 |
## 核心结构
|
| 421 |
|
|
@@ -452,19 +452,19 @@ Fórmula: 2 métodos de un episodio x 20 tareas = 40; 7 métodos de 128 episodio
|
|
| 452 |
|
| 453 |
Bloques de métodos: la línea 1 contiene task-head baselines (Minimal, Neural MLP). La línea 2 separa aligned baseline heads (metadata simple/NN, raw-feature simple/NN), la serie Qwen3-Omni (Qwen3-Omni v6 LoRA) y la serie Cosmos3 (Cosmos3-Super Reasoner, Cosmos3-Nano Future Window). Qwen3 v1-v6 es una línea interna de evolución LoRA/evaluación dentro de la línea 2, no las evidence lines del proyecto; la matriz de 20 tareas usa v6 y v5 queda como pinned prior release. Cosmos3-Super Forward-Dynamics LoRA se publica como adapter/pesos/resultados aparte y no cuenta como fila de método en la matriz de 20 tareas.
|
| 454 |
|
| 455 |
-
Entradas: [
|
| 456 |
|
| 457 |
## Ruta Rápida
|
| 458 |
|
| 459 |
| Objetivo | Entrada |
|
| 460 |
| --- | --- |
|
| 461 |
-
| Entender el proyecto | [
|
| 462 |
-
| Elegir la superficie correcta | [
|
| 463 |
-
| Ver las 20 tareas | [
|
| 464 |
-
| Comparar resultados | [
|
| 465 |
-
| Inspeccionar una muestra | [
|
| 466 |
-
| Leer las tres direcciones foundation | [
|
| 467 |
-
| Reproducir o auditar | [
|
| 468 |
|
| 469 |
## Estructura
|
| 470 |
|
|
@@ -501,19 +501,19 @@ Formule : 2 méthodes sur 1 épisode x 20 tâches = 40; 7 méthodes sur 128 épi
|
|
| 501 |
|
| 502 |
Blocs de méthodes : la ligne 1 contient les task-head baselines (Minimal, Neural MLP). La ligne 2 sépare les aligned baseline heads (metadata simple/NN, raw-feature simple/NN), la série Qwen3-Omni (Qwen3-Omni v6 LoRA) et la série Cosmos3 (Cosmos3-Super Reasoner, Cosmos3-Nano Future Window). Qwen3 v1-v6 est une lignée LoRA/évaluation interne à la ligne 2, pas les evidence lines du projet; la matrice 20 tâches utilise v6 et v5 reste le pinned prior release. Cosmos3-Super Forward-Dynamics LoRA est publié comme adapter/poids/résultats séparé et ne compte pas comme ligne de méthode dans la matrice 20 tâches.
|
| 503 |
|
| 504 |
-
Entrées : [
|
| 505 |
|
| 506 |
## Parcours Rapide
|
| 507 |
|
| 508 |
| Objectif | Point d'entrée |
|
| 509 |
| --- | --- |
|
| 510 |
-
| Comprendre le projet | [
|
| 511 |
-
| Choisir la bonne surface publique | [
|
| 512 |
-
| Lire les 20 tâches | [
|
| 513 |
-
| Comparer les résultats | [
|
| 514 |
-
| Inspecter un sample | [
|
| 515 |
-
| Lire les trois pipelines foundation | [
|
| 516 |
-
| Reproduire et auditer | [
|
| 517 |
|
| 518 |
## Structure
|
| 519 |
|
|
@@ -550,19 +550,19 @@ Formel: 2 Single-Episode-Methoden x 20 Aufgaben = 40; 7 128-Episode-Methoden x 2
|
|
| 550 |
|
| 551 |
Methodenblöcke: Linie 1 enthält task-head baselines (Minimal, Neural MLP). Linie 2 trennt aligned baseline heads (metadata simple/NN, raw-feature simple/NN), die Qwen3-Omni series (Qwen3-Omni v6 LoRA) und die Cosmos3 series (Cosmos3-Super Reasoner, Cosmos3-Nano Future Window). Qwen3 v1-v6 ist eine LoRA-/Evaluationslinie innerhalb von Linie 2, nicht die evidence lines des Projekts; die 20-Task-Matrix nutzt v6 und v5 bleibt der pinned prior release. Cosmos3-Super Forward-Dynamics LoRA ist ein separat veröffentlichter Adapter/Gewichts-/Ergebnis-Artefakt und zählt nicht als Methodenreihe der 20-Task-Matrix.
|
| 552 |
|
| 553 |
-
Einstieg: [
|
| 554 |
|
| 555 |
## Schneller Einstieg
|
| 556 |
|
| 557 |
| Ziel | Einstieg |
|
| 558 |
| --- | --- |
|
| 559 |
-
| Projekt verstehen | [
|
| 560 |
-
| Richtige öffentliche Oberfläche wählen | [
|
| 561 |
-
| 20 Aufgaben prüfen | [
|
| 562 |
-
| Ergebnisse vergleichen | [
|
| 563 |
-
| Ein Sample untersuchen | [
|
| 564 |
-
| Drei Foundation-Pipelines lesen | [
|
| 565 |
-
| Reproduzieren oder auditieren | [
|
| 566 |
|
| 567 |
## Struktur
|
| 568 |
|
|
@@ -599,19 +599,19 @@ Dieses Projekt veröffentlicht nur abgeleitete Artefakte, Metriken, Figuren, Kar
|
|
| 599 |
|
| 600 |
Method blocks: Line 1 は task-head baselines(Minimal、Neural MLP)。Line 2 は aligned baseline heads(metadata simple/NN、raw-feature simple/NN)、Qwen3-Omni series(Qwen3-Omni v6 LoRA)、Cosmos3 series(Cosmos3-Super Reasoner、Cosmos3-Nano Future Window)に分かれます。Qwen3 v1-v6 は Line 2 内の LoRA/eval lineage で、project evidence lines とは別です。20-task matrix は v6 を使い、v5 は pinned prior release です。Cosmos3-Super Forward-Dynamics LoRA は別の adapter/weights/results artifact として公開され、20-task matrix の method row には含めません。
|
| 601 |
|
| 602 |
-
入口: [
|
| 603 |
|
| 604 |
## クイックルート
|
| 605 |
|
| 606 |
| 目的 | 入口 |
|
| 607 |
| --- | --- |
|
| 608 |
-
| プロジェクトを素早く理解 | [
|
| 609 |
-
| 公開面を選ぶ | [
|
| 610 |
-
| 20 タスクを見る | [
|
| 611 |
-
| 結果を比較 | [
|
| 612 |
-
| 1 サンプルを調べる | [
|
| 613 |
-
| 3 つの foundation pipeline を読む | [
|
| 614 |
-
| 再現・監査 | [
|
| 615 |
|
| 616 |
## 構造
|
| 617 |
|
|
@@ -648,19 +648,19 @@ Method blocks: Line 1 は task-head baselines(Minimal、Neural MLP)。Line 2
|
|
| 648 |
|
| 649 |
방법 블록: Line 1은 task-head baselines(Minimal, Neural MLP)입니다. Line 2는 aligned baseline heads(metadata simple/NN, raw-feature simple/NN), Qwen3-Omni series(Qwen3-Omni v6 LoRA), Cosmos3 series(Cosmos3-Super Reasoner, Cosmos3-Nano Future Window)로 분리됩니다. Qwen3 v1-v6은 Line 2 내부의 LoRA/eval lineage이며 project evidence lines와 다릅니다. 20-task matrix는 v6을 사용하고 v5는 pinned prior release입니다. Cosmos3-Super Forward-Dynamics LoRA는 별도의 adapter/weights/results artifact로 공개되며 20-task matrix method row에는 포함되지 않습니다.
|
| 650 |
|
| 651 |
-
입구: [
|
| 652 |
|
| 653 |
## 빠른 경로
|
| 654 |
|
| 655 |
| 목표 | 시작점 |
|
| 656 |
| --- | --- |
|
| 657 |
-
| 프로젝트 빠르게 이해 | [
|
| 658 |
-
| 공개 표면 선택 | [
|
| 659 |
-
| 20개 과제 확인 | [
|
| 660 |
-
| 결과 비교 | [
|
| 661 |
-
| 샘플 하나 검사 | [
|
| 662 |
-
| 세 foundation pipeline 읽기 | [
|
| 663 |
-
| 재현 및 감사 | [
|
| 664 |
|
| 665 |
## 구조
|
| 666 |
|
|
@@ -697,19 +697,19 @@ Fórmula: 2 métodos de um episódio x 20 tarefas = 40; 7 métodos de 128 episó
|
|
| 697 |
|
| 698 |
Blocos de métodos: a linha 1 contém task-head baselines (Minimal, Neural MLP). A linha 2 separa aligned baseline heads (metadata simple/NN, raw-feature simple/NN), a série Qwen3-Omni (Qwen3-Omni v6 LoRA) e a série Cosmos3 (Cosmos3-Super Reasoner, Cosmos3-Nano Future Window). Qwen3 v1-v6 é uma linhagem LoRA/eval interna à linha 2, não as evidence lines do projeto; a matriz de 20 tarefas usa v6 e v5 fica como pinned prior release. Cosmos3-Super Forward-Dynamics LoRA é publicado como adapter/pesos/resultados separado e não conta como linha de método na matriz de 20 tarefas.
|
| 699 |
|
| 700 |
-
Entradas: [
|
| 701 |
|
| 702 |
## Rota Rápida
|
| 703 |
|
| 704 |
| Objetivo | Entrada |
|
| 705 |
| --- | --- |
|
| 706 |
-
| Entender o projeto | [
|
| 707 |
-
| Escolher a superfície pública correta | [
|
| 708 |
-
| Ver as 20 tarefas | [
|
| 709 |
-
| Comparar resultados | [
|
| 710 |
-
| Inspecionar uma amostra | [
|
| 711 |
-
| Ler as três pipelines foundation | [
|
| 712 |
-
| Reproduzir ou auditar | [
|
| 713 |
|
| 714 |
## Estrutura
|
| 715 |
|
|
|
|
| 147 |
|
| 148 |
## Public Structure: 20 Tasks / 4 Directions / 3 Pipelines
|
| 149 |
|
| 150 |
+
Read the project as three layers. The **20 tasks** are the scored benchmark contracts. The **4 directions** are reader-facing research groupings over those same tasks. The **3 foundation pipelines** are training recipes that reuse the same modalities, windows, and task targets. Use them in that order when reading the project.
|
| 151 |
|
| 152 |
Reader rule: if it has a metric, it is a **task**; if it explains what the evidence studies, it is a **direction**; if it describes model inputs and training targets, it is a **pipeline**.
|
| 153 |
|
|
|
|
| 343 |
<tr>
|
| 344 |
<td><strong>Choose the public surface</strong></td>
|
| 345 |
<td><a href="PUBLIC_READER_MAP.md">Public reader map</a></td>
|
| 346 |
+
<td><a href="docs/data/public_reader_map.json">reader-map data</a></td>
|
| 347 |
</tr>
|
| 348 |
<tr>
|
| 349 |
<td><strong>Decode project terms</strong></td>
|
| 350 |
<td><a href="GLOSSARY.md">Glossary</a></td>
|
| 351 |
+
<td><a href="docs/data/glossary.json">glossary data</a></td>
|
| 352 |
</tr>
|
| 353 |
<tr>
|
| 354 |
<td><strong>Inspect the 20 tasks</strong></td>
|
| 355 |
+
<td><a href="TASK_SUITE_20.md">20-task guide</a></td>
|
| 356 |
+
<td><a href="docs/data/task_suite_20.json">task contract data</a><br><a href="results/episode_task_suite/task_walkthroughs/">task walkthroughs</a></td>
|
| 357 |
</tr>
|
| 358 |
<tr>
|
| 359 |
<td><strong>Compare results</strong></td>
|
| 360 |
<td><a href="RESEARCH_TAKEAWAYS.md">Research takeaways</a></td>
|
| 361 |
+
<td><a href="docs/data/two_evidence_line_result_summary.json">two-line result summary</a><br><a href="docs/data/task_method_20_result_matrix.json">180-record result table</a><br><a href="docs/data/unified_task_model_radar.json">radar data</a><br><a href="docs/data/task_method_20_gap_audit.json">score/proxy audit</a></td>
|
| 362 |
</tr>
|
| 363 |
<tr>
|
| 364 |
<td><strong>Understand one sample</strong></td>
|
| 365 |
<td><a href="https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/single_episode_explorer.html">Single-episode explorer</a></td>
|
| 366 |
+
<td><a href="docs/data/raw_sample_files.json">sample-file map</a><br><a href="results/episode_task_suite/feature_manifest.json">feature manifest</a></td>
|
| 367 |
</tr>
|
| 368 |
<tr>
|
| 369 |
<td><strong>Read foundation directions</strong></td>
|
| 370 |
<td><a href="THREE_FOUNDATION_PIPELINES.md">Three foundation pipelines</a></td>
|
| 371 |
+
<td><a href="docs/data/three_foundation_pipelines.json">pipeline contract data</a><br><a href="FOUNDATION_MODEL_PLAN.md">foundation model plan</a></td>
|
| 372 |
</tr>
|
| 373 |
<tr>
|
| 374 |
<td><strong>Reproduce or audit</strong></td>
|
|
|
|
| 403 |
|
| 404 |
方法块:Line 1 是 task-head baselines(Minimal、Neural MLP)。Line 2 分成 aligned baseline heads(metadata simple/NN、raw-feature simple/NN)、Qwen3-Omni series(Qwen3-Omni v6 LoRA)和 Cosmos3 series(Cosmos3-Super Reasoner、Cosmos3-Nano Future Window)。Qwen3 run v1-v6 是 Line 2 内部的 LoRA/评估演进线,不是项目的 evidence lines;20-task matrix 使用 v6,v5 是 pinned prior release。Cosmos3-Super Forward-Dynamics LoRA 是单独发布的 adapter 权重/结果,不计入 20-task matrix method row。
|
| 405 |
|
| 406 |
+
入口:[双证据线说明](TWO_EVIDENCE_LINES.md)、[双证据线数据](docs/data/two_evidence_lines.json)、[180 条结果表](docs/data/task_method_20_result_matrix.json)、[双线结果摘要](docs/data/two_evidence_line_result_summary.json)。
|
| 407 |
|
| 408 |
## 快速入口
|
| 409 |
|
| 410 |
| 目标 | 入口 |
|
| 411 |
| --- | --- |
|
| 412 |
+
| 快速理解项目 | [项目简报](PROJECT_BRIEF.md), [项目状态](PROJECT_STATUS.md) |
|
| 413 |
+
| 选择 GitHub / 网页 / HF 的正确入口 | [公共阅读地图](PUBLIC_READER_MAP.md) |
|
| 414 |
+
| 查看 20 个任务定义 | [20 任务指南](TASK_SUITE_20.md), [任务契约数据](docs/data/task_suite_20.json) |
|
| 415 |
+
| 比较结果 | [研究结论](RESEARCH_TAKEAWAYS.md), [180 条结果表](docs/data/task_method_20_result_matrix.json) |
|
| 416 |
+
| 查看一个 sample 的全部文件关系 | [单 episode 浏览器](https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/single_episode_explorer.html), [sample 文件地图](docs/data/raw_sample_files.json) |
|
| 417 |
+
| 阅读三个基础模型方向 | [三条基础模型 pipeline](THREE_FOUNDATION_PIPELINES.md), [pipeline 契约数据](docs/data/three_foundation_pipelines.json) |
|
| 418 |
+
| 复现与审计 | [复现指南](REPRODUCIBILITY.md), [证据契约](EVIDENCE_CONTRACT.md) |
|
| 419 |
|
| 420 |
## 核心结构
|
| 421 |
|
|
|
|
| 452 |
|
| 453 |
Bloques de métodos: la línea 1 contiene task-head baselines (Minimal, Neural MLP). La línea 2 separa aligned baseline heads (metadata simple/NN, raw-feature simple/NN), la serie Qwen3-Omni (Qwen3-Omni v6 LoRA) y la serie Cosmos3 (Cosmos3-Super Reasoner, Cosmos3-Nano Future Window). Qwen3 v1-v6 es una línea interna de evolución LoRA/evaluación dentro de la línea 2, no las evidence lines del proyecto; la matriz de 20 tareas usa v6 y v5 queda como pinned prior release. Cosmos3-Super Forward-Dynamics LoRA se publica como adapter/pesos/resultados aparte y no cuenta como fila de método en la matriz de 20 tareas.
|
| 454 |
|
| 455 |
+
Entradas: [guia de dos lineas de evidencia](TWO_EVIDENCE_LINES.md), [datos de dos lineas](docs/data/two_evidence_lines.json), [tabla de 180 resultados](docs/data/task_method_20_result_matrix.json), [resumen de resultados de dos lineas](docs/data/two_evidence_line_result_summary.json).
|
| 456 |
|
| 457 |
## Ruta Rápida
|
| 458 |
|
| 459 |
| Objetivo | Entrada |
|
| 460 |
| --- | --- |
|
| 461 |
+
| Entender el proyecto | [resumen del proyecto](PROJECT_BRIEF.md), [estado del proyecto](PROJECT_STATUS.md) |
|
| 462 |
+
| Elegir la superficie correcta | [mapa publico de lectura](PUBLIC_READER_MAP.md) |
|
| 463 |
+
| Ver las 20 tareas | [guia de 20 tareas](TASK_SUITE_20.md), [datos de contratos de tarea](docs/data/task_suite_20.json) |
|
| 464 |
+
| Comparar resultados | [conclusiones de investigacion](RESEARCH_TAKEAWAYS.md), [tabla de 180 resultados](docs/data/task_method_20_result_matrix.json) |
|
| 465 |
+
| Inspeccionar una muestra | [explorador de un episodio](https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/single_episode_explorer.html), [mapa de archivos de muestra](docs/data/raw_sample_files.json) |
|
| 466 |
+
| Leer las tres direcciones foundation | [tres pipelines foundation](THREE_FOUNDATION_PIPELINES.md), [datos de contratos de pipeline](docs/data/three_foundation_pipelines.json) |
|
| 467 |
+
| Reproducir o auditar | [guia de reproducibilidad](REPRODUCIBILITY.md), [contrato de evidencia](EVIDENCE_CONTRACT.md) |
|
| 468 |
|
| 469 |
## Estructura
|
| 470 |
|
|
|
|
| 501 |
|
| 502 |
Blocs de méthodes : la ligne 1 contient les task-head baselines (Minimal, Neural MLP). La ligne 2 sépare les aligned baseline heads (metadata simple/NN, raw-feature simple/NN), la série Qwen3-Omni (Qwen3-Omni v6 LoRA) et la série Cosmos3 (Cosmos3-Super Reasoner, Cosmos3-Nano Future Window). Qwen3 v1-v6 est une lignée LoRA/évaluation interne à la ligne 2, pas les evidence lines du projet; la matrice 20 tâches utilise v6 et v5 reste le pinned prior release. Cosmos3-Super Forward-Dynamics LoRA est publié comme adapter/poids/résultats séparé et ne compte pas comme ligne de méthode dans la matrice 20 tâches.
|
| 503 |
|
| 504 |
+
Entrées : [guide des deux lignes de preuve](TWO_EVIDENCE_LINES.md), [données des deux lignes](docs/data/two_evidence_lines.json), [table des 180 résultats](docs/data/task_method_20_result_matrix.json), [résumé des résultats par ligne](docs/data/two_evidence_line_result_summary.json).
|
| 505 |
|
| 506 |
## Parcours Rapide
|
| 507 |
|
| 508 |
| Objectif | Point d'entrée |
|
| 509 |
| --- | --- |
|
| 510 |
+
| Comprendre le projet | [résumé du projet](PROJECT_BRIEF.md), [état du projet](PROJECT_STATUS.md) |
|
| 511 |
+
| Choisir la bonne surface publique | [carte de lecture publique](PUBLIC_READER_MAP.md) |
|
| 512 |
+
| Lire les 20 tâches | [guide des 20 tâches](TASK_SUITE_20.md), [données des contrats de tâche](docs/data/task_suite_20.json) |
|
| 513 |
+
| Comparer les résultats | [conclusions de recherche](RESEARCH_TAKEAWAYS.md), [table des 180 résultats](docs/data/task_method_20_result_matrix.json) |
|
| 514 |
+
| Inspecter un sample | [explorateur d'un épisode](https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/single_episode_explorer.html), [carte des fichiers sample](docs/data/raw_sample_files.json) |
|
| 515 |
+
| Lire les trois pipelines foundation | [trois pipelines foundation](THREE_FOUNDATION_PIPELINES.md), [données des contrats de pipeline](docs/data/three_foundation_pipelines.json) |
|
| 516 |
+
| Reproduire et auditer | [guide de reproductibilité](REPRODUCIBILITY.md), [contrat de preuve](EVIDENCE_CONTRACT.md) |
|
| 517 |
|
| 518 |
## Structure
|
| 519 |
|
|
|
|
| 550 |
|
| 551 |
Methodenblöcke: Linie 1 enthält task-head baselines (Minimal, Neural MLP). Linie 2 trennt aligned baseline heads (metadata simple/NN, raw-feature simple/NN), die Qwen3-Omni series (Qwen3-Omni v6 LoRA) und die Cosmos3 series (Cosmos3-Super Reasoner, Cosmos3-Nano Future Window). Qwen3 v1-v6 ist eine LoRA-/Evaluationslinie innerhalb von Linie 2, nicht die evidence lines des Projekts; die 20-Task-Matrix nutzt v6 und v5 bleibt der pinned prior release. Cosmos3-Super Forward-Dynamics LoRA ist ein separat veröffentlichter Adapter/Gewichts-/Ergebnis-Artefakt und zählt nicht als Methodenreihe der 20-Task-Matrix.
|
| 552 |
|
| 553 |
+
Einstieg: [Leitfaden zu zwei Evidenzlinien](TWO_EVIDENCE_LINES.md), [Daten der zwei Evidenzlinien](docs/data/two_evidence_lines.json), [Tabelle mit 180 Ergebnissen](docs/data/task_method_20_result_matrix.json), [Ergebniszusammenfassung der zwei Linien](docs/data/two_evidence_line_result_summary.json).
|
| 554 |
|
| 555 |
## Schneller Einstieg
|
| 556 |
|
| 557 |
| Ziel | Einstieg |
|
| 558 |
| --- | --- |
|
| 559 |
+
| Projekt verstehen | [Projektbrief](PROJECT_BRIEF.md), [Projektstatus](PROJECT_STATUS.md) |
|
| 560 |
+
| Richtige öffentliche Oberfläche wählen | [öffentliche Lesekarte](PUBLIC_READER_MAP.md) |
|
| 561 |
+
| 20 Aufgaben prüfen | [20-Aufgaben-Leitfaden](TASK_SUITE_20.md), [Aufgabenvertragsdaten](docs/data/task_suite_20.json) |
|
| 562 |
+
| Ergebnisse vergleichen | [Forschungsergebnisse](RESEARCH_TAKEAWAYS.md), [Tabelle mit 180 Ergebnissen](docs/data/task_method_20_result_matrix.json) |
|
| 563 |
+
| Ein Sample untersuchen | [Ein-Episode-Explorer](https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/single_episode_explorer.html), [Sample-Dateikarte](docs/data/raw_sample_files.json) |
|
| 564 |
+
| Drei Foundation-Pipelines lesen | [drei Foundation-Pipelines](THREE_FOUNDATION_PIPELINES.md), [Pipeline-Vertragsdaten](docs/data/three_foundation_pipelines.json) |
|
| 565 |
+
| Reproduzieren oder auditieren | [Reproduzierbarkeitsleitfaden](REPRODUCIBILITY.md), [Evidenzvertrag](EVIDENCE_CONTRACT.md) |
|
| 566 |
|
| 567 |
## Struktur
|
| 568 |
|
|
|
|
| 599 |
|
| 600 |
Method blocks: Line 1 は task-head baselines(Minimal、Neural MLP)。Line 2 は aligned baseline heads(metadata simple/NN、raw-feature simple/NN)、Qwen3-Omni series(Qwen3-Omni v6 LoRA)、Cosmos3 series(Cosmos3-Super Reasoner、Cosmos3-Nano Future Window)に分かれます。Qwen3 v1-v6 は Line 2 内の LoRA/eval lineage で、project evidence lines とは別です。20-task matrix は v6 を使い、v5 は pinned prior release です。Cosmos3-Super Forward-Dynamics LoRA は別の adapter/weights/results artifact として公開され、20-task matrix の method row には含めません。
|
| 601 |
|
| 602 |
+
入口: [2 つの証拠ラインのガイド](TWO_EVIDENCE_LINES.md)、[2 ラインのデータ](docs/data/two_evidence_lines.json)、[180 件の結果表](docs/data/task_method_20_result_matrix.json)、[2 ライン結果サマリ](docs/data/two_evidence_line_result_summary.json)。
|
| 603 |
|
| 604 |
## クイックルート
|
| 605 |
|
| 606 |
| 目的 | 入口 |
|
| 607 |
| --- | --- |
|
| 608 |
+
| プロジェクトを素早く理解 | [プロジェクト概要](PROJECT_BRIEF.md), [プロジェクト状態](PROJECT_STATUS.md) |
|
| 609 |
+
| 公開面を選ぶ | [公開リーダーマップ](PUBLIC_READER_MAP.md) |
|
| 610 |
+
| 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) |
|
| 611 |
+
| 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) |
|
| 612 |
+
| 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) |
|
| 613 |
+
| 3 つの foundation pipeline を読む | [3 つの foundation pipeline](THREE_FOUNDATION_PIPELINES.md), [pipeline ��約データ](docs/data/three_foundation_pipelines.json) |
|
| 614 |
+
| 再現・監査 | [再現ガイド](REPRODUCIBILITY.md), [証拠契約](EVIDENCE_CONTRACT.md) |
|
| 615 |
|
| 616 |
## 構造
|
| 617 |
|
|
|
|
| 648 |
|
| 649 |
방법 블록: Line 1은 task-head baselines(Minimal, Neural MLP)입니다. Line 2는 aligned baseline heads(metadata simple/NN, raw-feature simple/NN), Qwen3-Omni series(Qwen3-Omni v6 LoRA), Cosmos3 series(Cosmos3-Super Reasoner, Cosmos3-Nano Future Window)로 분리됩니다. Qwen3 v1-v6은 Line 2 내부의 LoRA/eval lineage이며 project evidence lines와 다릅니다. 20-task matrix는 v6을 사용하고 v5는 pinned prior release입니다. Cosmos3-Super Forward-Dynamics LoRA는 별도의 adapter/weights/results artifact로 공개되며 20-task matrix method row에는 포함되지 않습니다.
|
| 650 |
|
| 651 |
+
입구: [두 증거 라인 가이드](TWO_EVIDENCE_LINES.md), [두 라인 데이터](docs/data/two_evidence_lines.json), [180개 결과 표](docs/data/task_method_20_result_matrix.json), [두 라인 결과 요약](docs/data/two_evidence_line_result_summary.json).
|
| 652 |
|
| 653 |
## 빠른 경로
|
| 654 |
|
| 655 |
| 목표 | 시작점 |
|
| 656 |
| --- | --- |
|
| 657 |
+
| 프로젝트 빠르게 이해 | [프로젝트 요약](PROJECT_BRIEF.md), [프로젝트 상태](PROJECT_STATUS.md) |
|
| 658 |
+
| 공개 표면 선택 | [공개 리더 맵](PUBLIC_READER_MAP.md) |
|
| 659 |
+
| 20개 과제 확인 | [20개 과제 가이드](TASK_SUITE_20.md), [과제 계약 데이터](docs/data/task_suite_20.json) |
|
| 660 |
+
| 결과 비교 | [연구 결과 요약](RESEARCH_TAKEAWAYS.md), [180개 결과 표](docs/data/task_method_20_result_matrix.json) |
|
| 661 |
+
| 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) |
|
| 662 |
+
| 세 foundation pipeline 읽기 | [세 foundation pipeline](THREE_FOUNDATION_PIPELINES.md), [pipeline 계약 데이터](docs/data/three_foundation_pipelines.json) |
|
| 663 |
+
| 재현 및 감사 | [재현 가이드](REPRODUCIBILITY.md), [증거 계약](EVIDENCE_CONTRACT.md) |
|
| 664 |
|
| 665 |
## 구조
|
| 666 |
|
|
|
|
| 697 |
|
| 698 |
Blocos de métodos: a linha 1 contém task-head baselines (Minimal, Neural MLP). A linha 2 separa aligned baseline heads (metadata simple/NN, raw-feature simple/NN), a série Qwen3-Omni (Qwen3-Omni v6 LoRA) e a série Cosmos3 (Cosmos3-Super Reasoner, Cosmos3-Nano Future Window). Qwen3 v1-v6 é uma linhagem LoRA/eval interna à linha 2, não as evidence lines do projeto; a matriz de 20 tarefas usa v6 e v5 fica como pinned prior release. Cosmos3-Super Forward-Dynamics LoRA é publicado como adapter/pesos/resultados separado e não conta como linha de método na matriz de 20 tarefas.
|
| 699 |
|
| 700 |
+
Entradas: [guia de duas linhas de evidencia](TWO_EVIDENCE_LINES.md), [dados das duas linhas](docs/data/two_evidence_lines.json), [tabela de 180 resultados](docs/data/task_method_20_result_matrix.json), [resumo de resultados das duas linhas](docs/data/two_evidence_line_result_summary.json).
|
| 701 |
|
| 702 |
## Rota Rápida
|
| 703 |
|
| 704 |
| Objetivo | Entrada |
|
| 705 |
| --- | --- |
|
| 706 |
+
| Entender o projeto | [resumo do projeto](PROJECT_BRIEF.md), [status do projeto](PROJECT_STATUS.md) |
|
| 707 |
+
| Escolher a superfície pública correta | [mapa publico de leitura](PUBLIC_READER_MAP.md) |
|
| 708 |
+
| Ver as 20 tarefas | [guia das 20 tarefas](TASK_SUITE_20.md), [dados dos contratos de tarefa](docs/data/task_suite_20.json) |
|
| 709 |
+
| Comparar resultados | [conclusões de pesquisa](RESEARCH_TAKEAWAYS.md), [tabela de 180 resultados](docs/data/task_method_20_result_matrix.json) |
|
| 710 |
+
| Inspecionar uma amostra | [explorador de um episódio](https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/single_episode_explorer.html), [mapa dos arquivos de amostra](docs/data/raw_sample_files.json) |
|
| 711 |
+
| Ler as três pipelines foundation | [três pipelines foundation](THREE_FOUNDATION_PIPELINES.md), [dados dos contratos de pipeline](docs/data/three_foundation_pipelines.json) |
|
| 712 |
+
| Reproduzir ou auditar | [guia de reprodutibilidade](REPRODUCIBILITY.md), [contrato de evidencia](EVIDENCE_CONTRACT.md) |
|
| 713 |
|
| 714 |
## Estrutura
|
| 715 |
|
scripts/verify_live_publication.py
CHANGED
|
@@ -683,6 +683,7 @@ MARKER_CHECKS = [
|
|
| 683 |
"unified_task_model_radar.svg",
|
| 684 |
"20 tasks / 4 directions / 3 foundation pipelines.",
|
| 685 |
"If it has a metric, it belongs to the 20-task layer.",
|
|
|
|
| 686 |
"open full 180-score audit table",
|
| 687 |
"Choose the artifact by the question you have.",
|
| 688 |
"Public reader map",
|
|
@@ -731,6 +732,7 @@ MARKER_CHECKS = [
|
|
| 731 |
"unified_task_model_radar.svg",
|
| 732 |
"20 tasks / 4 directions / 3 foundation pipelines.",
|
| 733 |
"If it has a metric, it belongs to the 20-task layer.",
|
|
|
|
| 734 |
"open full 180-score audit table",
|
| 735 |
"Choose the artifact by the question you have.",
|
| 736 |
"Public reader map",
|
|
|
|
| 683 |
"unified_task_model_radar.svg",
|
| 684 |
"20 tasks / 4 directions / 3 foundation pipelines.",
|
| 685 |
"If it has a metric, it belongs to the 20-task layer.",
|
| 686 |
+
"Cite raw metric values; use radar values only as visual summaries.",
|
| 687 |
"open full 180-score audit table",
|
| 688 |
"Choose the artifact by the question you have.",
|
| 689 |
"Public reader map",
|
|
|
|
| 732 |
"unified_task_model_radar.svg",
|
| 733 |
"20 tasks / 4 directions / 3 foundation pipelines.",
|
| 734 |
"If it has a metric, it belongs to the 20-task layer.",
|
| 735 |
+
"Cite raw metric values; use radar values only as visual summaries.",
|
| 736 |
"open full 180-score audit table",
|
| 737 |
"Choose the artifact by the question you have.",
|
| 738 |
"Public reader map",
|