Datasets:
Add files using upload-large-folder tool
Browse files- FIGURE_INDEX.md +5 -4
- data/artifact_index.json +10 -10
- data/figure_index.json +39 -22
- data/mirror_parity.json +101 -101
- data/public_surface_qa.json +7 -7
- data/publication_audit.json +7 -7
- data/quality_gates.json +1 -1
- data/scope_claims_audit.json +1 -1
- data/source_alignment_audit.json +1 -1
- data/task_surface_integrity.json +1 -1
- data/website_integrity.json +22 -14
- docs/data/artifact_index.json +10 -10
- docs/data/figure_index.json +39 -22
- docs/data/mirror_parity.json +101 -101
- docs/data/public_surface_qa.json +7 -7
- docs/data/publication_audit.json +7 -7
- docs/data/quality_gates.json +1 -1
- docs/data/scope_claims_audit.json +1 -1
- docs/data/source_alignment_audit.json +1 -1
- docs/data/task_surface_integrity.json +1 -1
- docs/data/website_integrity.json +22 -14
- docs/index.html +222 -1
- index.html +222 -1
- scripts/build_figure_index.py +8 -0
FIGURE_INDEX.md
CHANGED
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@@ -14,9 +14,10 @@ Public figures, diagrams, charts, and derived modality thumbnails. Raw Xperience
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| 14 |
| Project logo mark | `docs/assets/brand/xperience10m-logo-mark-512.png` | 512 x 512 | `scripts/build_brand_assets.py` | Primary X-shaped multimodal camera mark used for the website header, README, HF cards, and brand identity. |
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| 15 |
| Project logo social card | `docs/assets/brand/xperience10m-logo-social-card.png` | 1200 x 630 | `scripts/build_brand_assets.py` | Large preview image for README, Hugging Face cards, and Open Graph/Twitter social sharing. |
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| 16 |
| Project favicon | `docs/assets/brand/xperience10m-logo-favicon-64.png` | 64 x 64 | `scripts/build_brand_assets.py` | Small dark-tile logo for browser tabs and compact navigation. |
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| 17 |
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| Original task-suite infographic | `docs/assets/task_suite_infographic.png` | 1800 x
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| 18 |
| Episode-to-task pipeline diagram | `docs/assets/pipeline_diagram.png` | 1800 x 1120 | `scripts/generate_visualizations.py` | End-to-end data processing and evaluation pipeline overview. |
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| 19 |
| Qwen3-Omni LoRA training pipeline | `docs/assets/qwen3_omni_lora_pipeline.png` | 1536 x 1024 | `docs/assets/qwen3_omni_lora_pipeline.prompt.md` | Detailed raw-data-to-adapter flow for staged Xperience-10M Qwen3-Omni LoRA training. |
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| 20 |
| Spatial intelligence slide diagram | `docs/assets/foundation-pipelines/spatial-intelligence-pipeline.png` | 2560 x 1920 | `scripts/render_foundation_pipeline_diagrams.py` | High-resolution slide diagram for the spatial intelligence pipeline track. |
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| 21 |
| Human-video world model slide diagram | `docs/assets/foundation-pipelines/human-video-world-model-pipeline.png` | 2560 x 1920 | `scripts/render_foundation_pipeline_diagrams.py` | High-resolution slide diagram for the human-video world-model pipeline track. |
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| 22 |
| Vision-language-action slide diagram | `docs/assets/foundation-pipelines/vision-language-action-pipeline.png` | 2560 x 1920 | `scripts/render_foundation_pipeline_diagrams.py` | High-resolution slide diagram for the VLA/action-policy pipeline track. |
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@@ -34,9 +35,9 @@ Public figures, diagrams, charts, and derived modality thumbnails. Raw Xperience
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| 34 |
| Research direction coverage chart | `docs/assets/charts/research_direction_coverage.svg` | 1180 x 700 | `scripts/generate_visualizations.py` | Four-track coverage map for Ropedia research directions. |
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| 35 |
| Research direction extension chart | `docs/assets/charts/research_direction_extension_tasks.svg` | 1420 x 920 | `scripts/generate_visualizations.py` | Four coded extension probes, one per Ropedia research direction. |
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| 36 |
| Unified 20-task provenance chart | `docs/assets/charts/tier2_task_suite.svg` | 1440 x 832 | `scripts/tier2_task_suite.py` | Historical provenance rows inside the unified 20-task suite with aligned minimal and neural baseline metrics. |
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| 37 |
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| Unified 20-task model radar | `docs/assets/charts/unified_task_model_radar.svg` |
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| 38 |
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| Single-episode 20-task model radar | `docs/assets/charts/single_episode_task_model_radar.svg` |
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| 39 |
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| 128-episode 20-task model radar | `docs/assets/charts/episode128_task_model_radar.svg` |
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| 40 |
| Feature block chart | `docs/assets/charts/feature_blocks.svg` | 1100 x 760 | `scripts/generate_visualizations.py` | Feature allocation by modality block. |
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| 41 |
| Minimal task score chart | `docs/assets/charts/episode_task_scores.svg` | 1100 x 556 | `scripts/generate_visualizations.py` | Minimal baseline metric snapshot across the task suite. |
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| 42 |
| Cross-modal retrieval chart | `docs/assets/charts/cross_modal_retrieval.svg` | 1100 x 284 | `scripts/generate_visualizations.py` | Retrieval behavior chart for the cross-modal task. |
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| 14 |
| Project logo mark | `docs/assets/brand/xperience10m-logo-mark-512.png` | 512 x 512 | `scripts/build_brand_assets.py` | Primary X-shaped multimodal camera mark used for the website header, README, HF cards, and brand identity. |
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| 15 |
| Project logo social card | `docs/assets/brand/xperience10m-logo-social-card.png` | 1200 x 630 | `scripts/build_brand_assets.py` | Large preview image for README, Hugging Face cards, and Open Graph/Twitter social sharing. |
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| 16 |
| Project favicon | `docs/assets/brand/xperience10m-logo-favicon-64.png` | 64 x 64 | `scripts/build_brand_assets.py` | Small dark-tile logo for browser tabs and compact navigation. |
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| 17 |
+
| Original task-suite infographic | `docs/assets/task_suite_infographic.png` | 1800 x 5000 | `scripts/render_task_suite_infographic.py` | Primary visual map of the walkthrough-backed task families, verified metrics, and sample modalities; the unified public suite is documented as 20 tasks. |
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| 18 |
| Episode-to-task pipeline diagram | `docs/assets/pipeline_diagram.png` | 1800 x 1120 | `scripts/generate_visualizations.py` | End-to-end data processing and evaluation pipeline overview. |
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| 19 |
| Qwen3-Omni LoRA training pipeline | `docs/assets/qwen3_omni_lora_pipeline.png` | 1536 x 1024 | `docs/assets/qwen3_omni_lora_pipeline.prompt.md` | Detailed raw-data-to-adapter flow for staged Xperience-10M Qwen3-Omni LoRA training. |
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| 20 |
+
| 20-task / 4-direction / 3-pipeline relationship map | `docs/assets/charts/task_direction_pipeline_relationship.png` | 1672 x 941 | `docs/assets/charts/task_direction_pipeline_relationship.prompt.md` | Overview map showing the exact 20 task tiles, four research-direction groups, and three foundation-pipeline columns used by the public reader flow. |
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| 21 |
| Spatial intelligence slide diagram | `docs/assets/foundation-pipelines/spatial-intelligence-pipeline.png` | 2560 x 1920 | `scripts/render_foundation_pipeline_diagrams.py` | High-resolution slide diagram for the spatial intelligence pipeline track. |
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| 22 |
| Human-video world model slide diagram | `docs/assets/foundation-pipelines/human-video-world-model-pipeline.png` | 2560 x 1920 | `scripts/render_foundation_pipeline_diagrams.py` | High-resolution slide diagram for the human-video world-model pipeline track. |
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| 23 |
| Vision-language-action slide diagram | `docs/assets/foundation-pipelines/vision-language-action-pipeline.png` | 2560 x 1920 | `scripts/render_foundation_pipeline_diagrams.py` | High-resolution slide diagram for the VLA/action-policy pipeline track. |
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| 35 |
| Research direction coverage chart | `docs/assets/charts/research_direction_coverage.svg` | 1180 x 700 | `scripts/generate_visualizations.py` | Four-track coverage map for Ropedia research directions. |
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| 36 |
| Research direction extension chart | `docs/assets/charts/research_direction_extension_tasks.svg` | 1420 x 920 | `scripts/generate_visualizations.py` | Four coded extension probes, one per Ropedia research direction. |
|
| 37 |
| Unified 20-task provenance chart | `docs/assets/charts/tier2_task_suite.svg` | 1440 x 832 | `scripts/tier2_task_suite.py` | Historical provenance rows inside the unified 20-task suite with aligned minimal and neural baseline metrics. |
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| 38 |
+
| Unified 20-task model radar | `docs/assets/charts/unified_task_model_radar.svg` | 2600 x 2300 | `scripts/build_unified_task_model_radar.py` | Grouped small-multiple 20-task radar board for all nine methods, separating single-episode, 128-episode metadata/text, 128-episode raw-feature, and foundation-model rows while preserving task keys and proxy notes. |
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| 39 |
+
| Single-episode 20-task model radar | `docs/assets/charts/single_episode_task_model_radar.svg` | 2600 x 2300 | `scripts/build_unified_task_model_radar.py` | Twenty-axis split radar for the one public-sample episode, comparing Minimal and Neural MLP as two complete 20/20 scored polygons. |
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| 40 |
+
| 128-episode 20-task model radar | `docs/assets/charts/episode128_task_model_radar.svg` | 2600 x 2300 | `scripts/build_unified_task_model_radar.py` | Grouped 20-task radar for selected 128-episode methods: metadata/text baselines, raw-feature simple/NN, Qwen3-Omni, Cosmos3-Super, and Cosmos3-Nano with local legends and proxy notes. |
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| 41 |
| Feature block chart | `docs/assets/charts/feature_blocks.svg` | 1100 x 760 | `scripts/generate_visualizations.py` | Feature allocation by modality block. |
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| 42 |
| Minimal task score chart | `docs/assets/charts/episode_task_scores.svg` | 1100 x 556 | `scripts/generate_visualizations.py` | Minimal baseline metric snapshot across the task suite. |
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| 43 |
| Cross-modal retrieval chart | `docs/assets/charts/cross_modal_retrieval.svg` | 1100 x 284 | `scripts/generate_visualizations.py` | Retrieval behavior chart for the cross-modal task. |
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data/artifact_index.json
CHANGED
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@@ -1,6 +1,6 @@
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| 1 |
{
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| 2 |
"title": "Ropedia Xperience-10M Task Suite Artifact Index",
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| 3 |
-
"generated_at_utc": "2026-06-
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"status": "pass",
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"artifact_count": 228,
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"missing": [],
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@@ -632,7 +632,7 @@
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"shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
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"exists": true,
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"bytes": 4432,
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"sha256": "
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},
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"id": "source_alignment_validator",
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"surface": "repo_hf",
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"shows": "Catalogs public figures, charts, modality thumbnails, dimensions, hashes, roles, and source scripts.",
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"exists": true,
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"bytes":
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"sha256": "
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"id": "figure_index_json",
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"surface": "website_hf",
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"shows": "Machine-readable visual asset index for website and Hugging Face mirrors.",
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"exists": true,
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"bytes":
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"sha256": "
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{
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"id": "figure_index_builder",
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"surface": "repo_hf",
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"shows": "Regenerates visual-asset hashes, dimensions, and source-script provenance.",
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"exists": true,
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{
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"id": "brand_assets_json",
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"shows": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
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"exists": true,
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"bytes": 8640,
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"id": "public_surface_qa",
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"volatile": true,
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"shows": "Confirms local website links, anchors, JSON data files, and referenced images resolve.",
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"exists": true,
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"bytes":
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"hash_policy": "existence_and_size_only"
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{
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{
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"title": "Ropedia Xperience-10M Task Suite Artifact Index",
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"generated_at_utc": "2026-06-22T21:09:25+00:00",
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"status": "pass",
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"artifact_count": 228,
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"missing": [],
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"shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
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"exists": true,
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"bytes": 4432,
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{
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"id": "source_alignment_validator",
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"surface": "repo_hf",
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"shows": "Catalogs public figures, charts, modality thumbnails, dimensions, hashes, roles, and source scripts.",
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"exists": true,
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{
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"id": "figure_index_json",
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"surface": "website_hf",
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"shows": "Machine-readable visual asset index for website and Hugging Face mirrors.",
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"exists": true,
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"bytes": 20339,
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{
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"id": "figure_index_builder",
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"surface": "repo_hf",
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"shows": "Regenerates visual-asset hashes, dimensions, and source-script provenance.",
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"exists": true,
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},
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{
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"id": "brand_assets_json",
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"shows": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
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"exists": true,
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"bytes": 8640,
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"sha256": "70fc0719d08de4d455e0c9d15dca25932c458ec15d1590eb4ff14ebb4ca12839"
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{
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"id": "public_surface_qa",
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"volatile": true,
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"shows": "Confirms local website links, anchors, JSON data files, and referenced images resolve.",
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"exists": true,
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"bytes": 25144,
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"hash_policy": "existence_and_size_only"
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data/figure_index.json
CHANGED
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@@ -1,9 +1,9 @@
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{
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"title": "Ropedia Xperience-10M Figure Index",
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"status": "pass",
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| 4 |
-
"generated_at_utc": "2026-06-
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"scope": "Public figures, diagrams, charts, and derived modality thumbnails. Raw Xperience-10M videos, annotations, RRD files, and Qwen weights are excluded.",
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"figure_count":
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"figures": [
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{
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"id": "brand_logo_mark",
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"source_script": "scripts/render_task_suite_infographic.py",
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"surface": "README, website, HF Space, artifact dataset, model card",
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"exists": true,
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-
"bytes":
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"sha256": "
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"dimensions": {
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"format": "PNG",
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"width": 1800,
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"source_script_exists": true
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},
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"source_script_exists": true
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{
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"id": "spatial_intelligence_presentation_photo",
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"title": "Spatial intelligence slide diagram",
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"source_script": "scripts/generate_visualizations.py",
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"surface": "website directions",
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"exists": true,
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"bytes":
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"source_script": "scripts/build_unified_task_model_radar.py",
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"surface": "website unified task section, README, HF mirrors",
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"exists": true,
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"source_script": "scripts/build_unified_task_model_radar.py",
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"surface": "website unified task section, README, HF mirrors",
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"exists": true,
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"source_script": "scripts/build_unified_task_model_radar.py",
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"surface": "website unified task section, README, HF mirrors",
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"exists": true,
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{
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"title": "Ropedia Xperience-10M Figure Index",
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"status": "pass",
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"generated_at_utc": "2026-06-22T21:04:18+00:00",
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"scope": "Public figures, diagrams, charts, and derived modality thumbnails. Raw Xperience-10M videos, annotations, RRD files, and Qwen weights are excluded.",
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"figure_count": 30,
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"figures": [
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{
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"id": "brand_logo_mark",
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"source_script": "scripts/render_task_suite_infographic.py",
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"surface": "README, website, HF Space, artifact dataset, model card",
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"format": "PNG",
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"width": 1800,
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"height": 5000
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"source_script_exists": true
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},
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"source_script_exists": true
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},
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{
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"id": "task_direction_pipeline_relationship",
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"title": "20-task / 4-direction / 3-pipeline relationship map",
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"path": "docs/assets/charts/task_direction_pipeline_relationship.png",
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"role": "Overview map showing the exact 20 task tiles, four research-direction groups, and three foundation-pipeline columns used by the public reader flow.",
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"source_script": "docs/assets/charts/task_direction_pipeline_relationship.prompt.md",
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"source_script_exists": true
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| 127 |
{
|
| 128 |
"id": "spatial_intelligence_presentation_photo",
|
| 129 |
"title": "Spatial intelligence slide diagram",
|
|
|
|
| 373 |
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|
| 374 |
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|
| 375 |
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|
| 376 |
+
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|
| 377 |
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|
| 378 |
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| 379 |
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|
| 380 |
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|
|
|
|
| 427 |
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|
| 428 |
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|
| 429 |
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|
| 430 |
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|
| 431 |
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| 432 |
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|
| 433 |
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| 434 |
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|
| 435 |
+
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|
| 436 |
+
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|
| 437 |
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|
| 438 |
"source_script_exists": true
|
| 439 |
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|
|
|
|
| 445 |
"source_script": "scripts/build_unified_task_model_radar.py",
|
| 446 |
"surface": "website unified task section, README, HF mirrors",
|
| 447 |
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|
| 448 |
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|
| 449 |
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|
| 450 |
"dimensions": {
|
| 451 |
"format": "SVG",
|
| 452 |
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|
| 453 |
+
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|
| 454 |
+
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|
| 455 |
},
|
| 456 |
"source_script_exists": true
|
| 457 |
},
|
|
|
|
| 463 |
"source_script": "scripts/build_unified_task_model_radar.py",
|
| 464 |
"surface": "website unified task section, README, HF mirrors",
|
| 465 |
"exists": true,
|
| 466 |
+
"bytes": 81106,
|
| 467 |
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| 468 |
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| 469 |
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| 470 |
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|
| 471 |
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|
| 472 |
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|
| 473 |
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|
| 474 |
"source_script_exists": true
|
| 475 |
},
|
data/mirror_parity.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-22T20:
|
| 4 |
"hf_root": "hf_publish",
|
| 5 |
"summary": {
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| 6 |
"group_count": 1306,
|
|
@@ -139,44 +139,44 @@
|
|
| 139 |
"path": "repo:docs/data/artifact_index.json",
|
| 140 |
"exists": true,
|
| 141 |
"bytes": 124477,
|
| 142 |
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|
| 143 |
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|
| 144 |
"mirrors": {
|
| 145 |
"hf_space": {
|
| 146 |
"path": "hf_space:data/artifact_index.json",
|
| 147 |
"exists": true,
|
| 148 |
"bytes": 124477,
|
| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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|
| 153 |
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|
| 154 |
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|
| 155 |
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|
| 156 |
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|
| 157 |
"hf_artifacts": {
|
| 158 |
"path": "hf_artifacts:docs/data/artifact_index.json",
|
| 159 |
"exists": true,
|
| 160 |
"bytes": 124477,
|
| 161 |
-
"sha256": "
|
| 162 |
},
|
| 163 |
"hf_model_data": {
|
| 164 |
"path": "hf_model:data/artifact_index.json",
|
| 165 |
"exists": true,
|
| 166 |
"bytes": 124477,
|
| 167 |
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|
| 168 |
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|
| 169 |
"hf_model_docs_data": {
|
| 170 |
"path": "hf_model:docs/data/artifact_index.json",
|
| 171 |
"exists": true,
|
| 172 |
"bytes": 124477,
|
| 173 |
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|
| 174 |
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|
| 175 |
"hf_model": {
|
| 176 |
"path": "hf_model:metrics/artifact_index.json",
|
| 177 |
"exists": true,
|
| 178 |
"bytes": 124477,
|
| 179 |
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|
| 180 |
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|
| 181 |
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|
| 182 |
"failures": []
|
|
@@ -334,45 +334,45 @@
|
|
| 334 |
"local": {
|
| 335 |
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|
| 336 |
"exists": true,
|
| 337 |
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| 338 |
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|
| 339 |
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|
| 340 |
"mirrors": {
|
| 341 |
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|
| 342 |
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|
| 343 |
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|
| 344 |
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| 345 |
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|
| 346 |
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|
| 347 |
"hf_artifacts_data": {
|
| 348 |
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|
| 349 |
"exists": true,
|
| 350 |
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| 351 |
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| 352 |
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|
| 353 |
"hf_artifacts": {
|
| 354 |
"path": "hf_artifacts:docs/data/figure_index.json",
|
| 355 |
"exists": true,
|
| 356 |
-
"bytes":
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| 357 |
-
"sha256": "
|
| 358 |
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|
| 359 |
"hf_model_data": {
|
| 360 |
"path": "hf_model:data/figure_index.json",
|
| 361 |
"exists": true,
|
| 362 |
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"bytes":
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| 363 |
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"sha256": "
|
| 364 |
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|
| 365 |
"hf_model_docs_data": {
|
| 366 |
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|
| 367 |
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|
| 368 |
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| 369 |
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|
| 370 |
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|
| 371 |
"hf_model": {
|
| 372 |
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|
| 373 |
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|
| 374 |
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| 375 |
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| 376 |
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|
| 377 |
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|
| 378 |
"failures": []
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|
@@ -971,45 +971,45 @@
|
|
| 971 |
"local": {
|
| 972 |
"path": "repo:docs/data/publication_audit.json",
|
| 973 |
"exists": true,
|
| 974 |
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|
| 975 |
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|
| 976 |
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|
| 977 |
"mirrors": {
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| 978 |
"hf_space": {
|
| 979 |
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|
| 980 |
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|
| 981 |
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| 982 |
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| 983 |
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| 984 |
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|
| 985 |
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| 986 |
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| 987 |
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| 988 |
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| 989 |
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| 990 |
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|
| 991 |
"path": "hf_artifacts:docs/data/publication_audit.json",
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| 992 |
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|
| 993 |
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| 994 |
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|
| 995 |
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|
| 996 |
"hf_model_data": {
|
| 997 |
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|
| 998 |
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|
| 999 |
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| 1000 |
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|
| 1001 |
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| 1002 |
"hf_model_docs_data": {
|
| 1003 |
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| 1004 |
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|
| 1005 |
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| 1006 |
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|
| 1007 |
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| 1008 |
"hf_model": {
|
| 1009 |
"path": "hf_model:metrics/publication_audit.json",
|
| 1010 |
"exists": true,
|
| 1011 |
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| 1012 |
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|
| 1013 |
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|
| 1014 |
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| 1015 |
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|
@@ -1021,44 +1021,44 @@
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|
| 1021 |
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|
| 1022 |
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|
| 1023 |
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|
| 1024 |
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|
| 1025 |
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| 1026 |
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| 1027 |
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|
| 1028 |
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|
| 1029 |
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|
| 1030 |
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|
| 1031 |
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| 1032 |
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| 1033 |
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| 1034 |
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| 1035 |
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| 1036 |
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|
| 1037 |
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| 1038 |
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| 1039 |
"hf_artifacts": {
|
| 1040 |
"path": "hf_artifacts:docs/data/public_surface_qa.json",
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| 1041 |
"exists": true,
|
| 1042 |
"bytes": 7690,
|
| 1043 |
-
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|
| 1044 |
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| 1045 |
"hf_model_data": {
|
| 1046 |
"path": "hf_model:data/public_surface_qa.json",
|
| 1047 |
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|
| 1048 |
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|
| 1049 |
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|
| 1050 |
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| 1051 |
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| 1052 |
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| 1053 |
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| 1054 |
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| 1055 |
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| 1056 |
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| 1057 |
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| 1058 |
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| 1059 |
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| 1060 |
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| 1061 |
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| 1063 |
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| 1064 |
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@@ -1217,44 +1217,44 @@
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| 1217 |
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|
| 1218 |
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| 1219 |
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|
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| 1221 |
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| 1222 |
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| 1223 |
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| 1224 |
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| 1225 |
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| 1226 |
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| 1227 |
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| 1229 |
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| 1230 |
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| 1231 |
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| 1232 |
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|
| 1233 |
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| 1235 |
"hf_artifacts": {
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| 1236 |
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| 1237 |
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| 1238 |
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| 1239 |
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| 1240 |
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| 1241 |
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| 1242 |
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| 1243 |
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| 1244 |
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| 1245 |
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| 1247 |
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| 1248 |
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| 1249 |
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| 1250 |
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| 1251 |
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| 1252 |
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| 1253 |
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| 1254 |
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| 1255 |
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| 1256 |
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| 1257 |
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| 1259 |
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| 1260 |
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|
@@ -1658,44 +1658,44 @@
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| 1658 |
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| 1659 |
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| 1665 |
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| 1668 |
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| 1669 |
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| 1670 |
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| 1671 |
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| 1672 |
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| 1674 |
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| 1675 |
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| 1676 |
"hf_artifacts": {
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| 1677 |
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| 1678 |
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| 1679 |
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| 1680 |
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| 1681 |
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| 1682 |
"hf_model_data": {
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| 1683 |
"path": "hf_model:data/scope_claims_audit.json",
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| 1684 |
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| 1685 |
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| 1686 |
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| 1687 |
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| 1688 |
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| 1689 |
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| 1690 |
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| 1692 |
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| 1693 |
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| 1694 |
"hf_model": {
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| 1695 |
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| 1696 |
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| 1698 |
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| 1700 |
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|
@@ -1756,44 +1756,44 @@
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| 1756 |
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| 1757 |
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| 1760 |
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| 1761 |
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| 1763 |
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| 1764 |
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| 1765 |
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| 1766 |
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| 1767 |
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| 1768 |
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| 1769 |
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| 1770 |
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| 1771 |
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| 1773 |
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| 1774 |
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| 1775 |
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| 1776 |
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| 1777 |
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| 1778 |
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| 1779 |
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| 1780 |
"hf_model_data": {
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| 1781 |
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| 1782 |
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| 1783 |
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| 1784 |
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| 1785 |
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| 1786 |
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| 1787 |
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| 1788 |
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| 1789 |
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|
| 1790 |
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| 1791 |
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| 1792 |
"hf_model": {
|
| 1793 |
"path": "hf_model:metrics/source_alignment_audit.json",
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| 1794 |
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|
| 1795 |
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|
| 1796 |
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| 1797 |
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|
| 1798 |
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| 1799 |
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|
|
@@ -2197,44 +2197,44 @@
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| 2197 |
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|
| 2198 |
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| 2199 |
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| 2200 |
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| 2201 |
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| 2202 |
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| 2203 |
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| 2204 |
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| 2205 |
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| 2206 |
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|
| 2207 |
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|
| 2208 |
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| 2209 |
"hf_artifacts_data": {
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| 2210 |
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|
| 2211 |
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| 2212 |
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| 2213 |
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| 2214 |
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| 2215 |
"hf_artifacts": {
|
| 2216 |
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| 2217 |
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|
| 2218 |
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| 2219 |
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|
| 2220 |
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|
| 2221 |
"hf_model_data": {
|
| 2222 |
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| 2223 |
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|
| 2224 |
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| 2225 |
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| 2226 |
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| 2227 |
"hf_model_docs_data": {
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| 2228 |
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| 2229 |
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| 2230 |
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|
| 2231 |
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|
| 2232 |
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|
| 2233 |
"hf_model": {
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| 2234 |
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| 2235 |
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|
| 2236 |
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| 2237 |
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| 2238 |
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| 2239 |
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| 2240 |
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|
@@ -2588,45 +2588,45 @@
|
|
| 2588 |
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| 2589 |
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| 2590 |
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| 2591 |
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| 2592 |
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| 2593 |
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| 2594 |
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| 2595 |
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| 2596 |
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| 2597 |
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| 2600 |
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| 2601 |
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data/public_surface_qa.json
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| 236 |
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| 236 |
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| 3 |
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| 7 |
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| 3 |
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| 4 |
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"generated_at_utc": "2026-06-22T21:10:38+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/scope_claims_audit.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"summary": {
|
| 5 |
"qwen3_omni_verified_diagnostic_pilot": true,
|
| 6 |
"dataset_manifest_num_episodes": 119,
|
|
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
+
"generated_at_utc": "2026-06-22T21:02:07+00:00",
|
| 4 |
"summary": {
|
| 5 |
"qwen3_omni_verified_diagnostic_pilot": true,
|
| 6 |
"dataset_manifest_num_episodes": 119,
|
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": "2026-06-22T21:04:50+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": "2026-06-22T21:01:59+00:00",
|
| 4 |
"summary": {
|
| 5 |
"original_walkthrough_task_count": 12,
|
| 6 |
"expected_original_walkthrough_task_count": 12,
|
data/website_integrity.json
CHANGED
|
@@ -1,14 +1,14 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"docs_root": "docs",
|
| 5 |
"site_base": "/ropedia-xperience-10m-task-suite/",
|
| 6 |
"summary": {
|
| 7 |
"html_pages": 4,
|
| 8 |
-
"local_references":
|
| 9 |
"external_reference_count": 151,
|
| 10 |
"json_files": 56,
|
| 11 |
-
"image_assets_referenced":
|
| 12 |
"failure_count": 0
|
| 13 |
},
|
| 14 |
"failures": {
|
|
@@ -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",
|
|
@@ -278,7 +278,7 @@
|
|
| 278 |
"name": "task_cards_use_human_research_names",
|
| 279 |
"status": "pass",
|
| 280 |
"reason": "The public task surface should use readable research task names.",
|
| 281 |
-
"marker_count":
|
| 282 |
}
|
| 283 |
],
|
| 284 |
"html_pages": [
|
|
@@ -291,8 +291,8 @@
|
|
| 291 |
{
|
| 292 |
"path": "index.html",
|
| 293 |
"id_count": 109,
|
| 294 |
-
"reference_count":
|
| 295 |
-
"image_count":
|
| 296 |
},
|
| 297 |
{
|
| 298 |
"path": "research_roadmap.html",
|
|
@@ -345,7 +345,7 @@
|
|
| 345 |
},
|
| 346 |
{
|
| 347 |
"path": "data/figure_index.json",
|
| 348 |
-
"bytes":
|
| 349 |
"top_level_type": "dict"
|
| 350 |
},
|
| 351 |
{
|
|
@@ -420,7 +420,7 @@
|
|
| 420 |
},
|
| 421 |
{
|
| 422 |
"path": "data/publication_audit.json",
|
| 423 |
-
"bytes":
|
| 424 |
"top_level_type": "dict"
|
| 425 |
},
|
| 426 |
{
|
|
@@ -575,7 +575,7 @@
|
|
| 575 |
},
|
| 576 |
{
|
| 577 |
"path": "data/website_integrity.json",
|
| 578 |
-
"bytes":
|
| 579 |
"top_level_type": "dict"
|
| 580 |
},
|
| 581 |
{
|
|
@@ -675,6 +675,14 @@
|
|
| 675 |
"format": "SVG",
|
| 676 |
"has_viewbox": true
|
| 677 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 678 |
{
|
| 679 |
"path": "assets/charts/two_evidence_line_map.svg",
|
| 680 |
"exists": true,
|
|
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
+
"generated_at_utc": "2026-06-22T21:04:19+00:00",
|
| 4 |
"docs_root": "docs",
|
| 5 |
"site_base": "/ropedia-xperience-10m-task-suite/",
|
| 6 |
"summary": {
|
| 7 |
"html_pages": 4,
|
| 8 |
+
"local_references": 340,
|
| 9 |
"external_reference_count": 151,
|
| 10 |
"json_files": 56,
|
| 11 |
+
"image_assets_referenced": 50,
|
| 12 |
"failure_count": 0
|
| 13 |
},
|
| 14 |
"failures": {
|
|
|
|
| 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": 180162,
|
| 84 |
+
"evidence_index": 236160
|
| 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": 180162,
|
| 163 |
+
"protocol_index": 232365,
|
| 164 |
+
"evidence_index": 236160
|
| 165 |
},
|
| 166 |
{
|
| 167 |
"name": "evaluation_protocol_links_json",
|
|
|
|
| 278 |
"name": "task_cards_use_human_research_names",
|
| 279 |
"status": "pass",
|
| 280 |
"reason": "The public task surface should use readable research task names.",
|
| 281 |
+
"marker_count": 6
|
| 282 |
}
|
| 283 |
],
|
| 284 |
"html_pages": [
|
|
|
|
| 291 |
{
|
| 292 |
"path": "index.html",
|
| 293 |
"id_count": 109,
|
| 294 |
+
"reference_count": 312,
|
| 295 |
+
"image_count": 75
|
| 296 |
},
|
| 297 |
{
|
| 298 |
"path": "research_roadmap.html",
|
|
|
|
| 345 |
},
|
| 346 |
{
|
| 347 |
"path": "data/figure_index.json",
|
| 348 |
+
"bytes": 20339,
|
| 349 |
"top_level_type": "dict"
|
| 350 |
},
|
| 351 |
{
|
|
|
|
| 420 |
},
|
| 421 |
{
|
| 422 |
"path": "data/publication_audit.json",
|
| 423 |
+
"bytes": 12101,
|
| 424 |
"top_level_type": "dict"
|
| 425 |
},
|
| 426 |
{
|
|
|
|
| 575 |
},
|
| 576 |
{
|
| 577 |
"path": "data/website_integrity.json",
|
| 578 |
+
"bytes": 25144,
|
| 579 |
"top_level_type": "dict"
|
| 580 |
},
|
| 581 |
{
|
|
|
|
| 675 |
"format": "SVG",
|
| 676 |
"has_viewbox": true
|
| 677 |
},
|
| 678 |
+
{
|
| 679 |
+
"path": "assets/charts/task_direction_pipeline_relationship.png",
|
| 680 |
+
"exists": true,
|
| 681 |
+
"bytes": 1412546,
|
| 682 |
+
"width": 1672,
|
| 683 |
+
"height": 941,
|
| 684 |
+
"format": "PNG"
|
| 685 |
+
},
|
| 686 |
{
|
| 687 |
"path": "assets/charts/two_evidence_line_map.svg",
|
| 688 |
"exists": true,
|
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",
|
|
@@ -1093,8 +1093,8 @@
|
|
| 1093 |
"surface": "repo_hf",
|
| 1094 |
"shows": "Catalogs public figures, charts, modality thumbnails, dimensions, hashes, roles, and source scripts.",
|
| 1095 |
"exists": true,
|
| 1096 |
-
"bytes":
|
| 1097 |
-
"sha256": "
|
| 1098 |
},
|
| 1099 |
{
|
| 1100 |
"id": "figure_index_json",
|
|
@@ -1104,8 +1104,8 @@
|
|
| 1104 |
"surface": "website_hf",
|
| 1105 |
"shows": "Machine-readable visual asset index for website and Hugging Face mirrors.",
|
| 1106 |
"exists": true,
|
| 1107 |
-
"bytes":
|
| 1108 |
-
"sha256": "
|
| 1109 |
},
|
| 1110 |
{
|
| 1111 |
"id": "figure_index_builder",
|
|
@@ -1115,8 +1115,8 @@
|
|
| 1115 |
"surface": "repo_hf",
|
| 1116 |
"shows": "Regenerates visual-asset hashes, dimensions, and source-script provenance.",
|
| 1117 |
"exists": true,
|
| 1118 |
-
"bytes":
|
| 1119 |
-
"sha256": "
|
| 1120 |
},
|
| 1121 |
{
|
| 1122 |
"id": "brand_assets_json",
|
|
@@ -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",
|
|
@@ -1399,7 +1399,7 @@
|
|
| 1399 |
"volatile": true,
|
| 1400 |
"shows": "Confirms local website links, anchors, JSON data files, and referenced images resolve.",
|
| 1401 |
"exists": true,
|
| 1402 |
-
"bytes":
|
| 1403 |
"hash_policy": "existence_and_size_only"
|
| 1404 |
},
|
| 1405 |
{
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Task Suite Artifact Index",
|
| 3 |
+
"generated_at_utc": "2026-06-22T21:09:25+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": "98bba813ab55889d5e04451bd8f8315f9064917e3da57af109ac082cc5d95936"
|
| 636 |
},
|
| 637 |
{
|
| 638 |
"id": "source_alignment_validator",
|
|
|
|
| 1093 |
"surface": "repo_hf",
|
| 1094 |
"shows": "Catalogs public figures, charts, modality thumbnails, dimensions, hashes, roles, and source scripts.",
|
| 1095 |
"exists": true,
|
| 1096 |
+
"bytes": 7421,
|
| 1097 |
+
"sha256": "76306997bd59ee0219d5f990fb92358a25ec0d15a70d4eed213215abf6fd152c"
|
| 1098 |
},
|
| 1099 |
{
|
| 1100 |
"id": "figure_index_json",
|
|
|
|
| 1104 |
"surface": "website_hf",
|
| 1105 |
"shows": "Machine-readable visual asset index for website and Hugging Face mirrors.",
|
| 1106 |
"exists": true,
|
| 1107 |
+
"bytes": 20339,
|
| 1108 |
+
"sha256": "3e6108a7365e8169d4695a177abf27a5f076032d4f46f4b7ee85ecb2342f9e92"
|
| 1109 |
},
|
| 1110 |
{
|
| 1111 |
"id": "figure_index_builder",
|
|
|
|
| 1115 |
"surface": "repo_hf",
|
| 1116 |
"shows": "Regenerates visual-asset hashes, dimensions, and source-script provenance.",
|
| 1117 |
"exists": true,
|
| 1118 |
+
"bytes": 17444,
|
| 1119 |
+
"sha256": "521f69760ba5f7d2993222495833f56f883aca6b832e71dd36c410a757bc1e20"
|
| 1120 |
},
|
| 1121 |
{
|
| 1122 |
"id": "brand_assets_json",
|
|
|
|
| 1182 |
"shows": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
|
| 1183 |
"exists": true,
|
| 1184 |
"bytes": 8640,
|
| 1185 |
+
"sha256": "70fc0719d08de4d455e0c9d15dca25932c458ec15d1590eb4ff14ebb4ca12839"
|
| 1186 |
},
|
| 1187 |
{
|
| 1188 |
"id": "public_surface_qa",
|
|
|
|
| 1399 |
"volatile": true,
|
| 1400 |
"shows": "Confirms local website links, anchors, JSON data files, and referenced images resolve.",
|
| 1401 |
"exists": true,
|
| 1402 |
+
"bytes": 25144,
|
| 1403 |
"hash_policy": "existence_and_size_only"
|
| 1404 |
},
|
| 1405 |
{
|
docs/data/figure_index.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Figure Index",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"scope": "Public figures, diagrams, charts, and derived modality thumbnails. Raw Xperience-10M videos, annotations, RRD files, and Qwen weights are excluded.",
|
| 6 |
-
"figure_count":
|
| 7 |
"figures": [
|
| 8 |
{
|
| 9 |
"id": "brand_logo_mark",
|
|
@@ -64,12 +64,12 @@
|
|
| 64 |
"source_script": "scripts/render_task_suite_infographic.py",
|
| 65 |
"surface": "README, website, HF Space, artifact dataset, model card",
|
| 66 |
"exists": true,
|
| 67 |
-
"bytes":
|
| 68 |
-
"sha256": "
|
| 69 |
"dimensions": {
|
| 70 |
"format": "PNG",
|
| 71 |
"width": 1800,
|
| 72 |
-
"height":
|
| 73 |
},
|
| 74 |
"source_script_exists": true
|
| 75 |
},
|
|
@@ -107,6 +107,23 @@
|
|
| 107 |
},
|
| 108 |
"source_script_exists": true
|
| 109 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 110 |
{
|
| 111 |
"id": "spatial_intelligence_presentation_photo",
|
| 112 |
"title": "Spatial intelligence slide diagram",
|
|
@@ -356,8 +373,8 @@
|
|
| 356 |
"source_script": "scripts/generate_visualizations.py",
|
| 357 |
"surface": "website directions",
|
| 358 |
"exists": true,
|
| 359 |
-
"bytes":
|
| 360 |
-
"sha256": "
|
| 361 |
"dimensions": {
|
| 362 |
"format": "SVG",
|
| 363 |
"width": 1180,
|
|
@@ -410,13 +427,13 @@
|
|
| 410 |
"source_script": "scripts/build_unified_task_model_radar.py",
|
| 411 |
"surface": "website unified task section, README, HF mirrors",
|
| 412 |
"exists": true,
|
| 413 |
-
"bytes":
|
| 414 |
-
"sha256": "
|
| 415 |
"dimensions": {
|
| 416 |
"format": "SVG",
|
| 417 |
-
"width":
|
| 418 |
-
"height":
|
| 419 |
-
"view_box": "0 0
|
| 420 |
},
|
| 421 |
"source_script_exists": true
|
| 422 |
},
|
|
@@ -428,13 +445,13 @@
|
|
| 428 |
"source_script": "scripts/build_unified_task_model_radar.py",
|
| 429 |
"surface": "website unified task section, README, HF mirrors",
|
| 430 |
"exists": true,
|
| 431 |
-
"bytes":
|
| 432 |
-
"sha256": "
|
| 433 |
"dimensions": {
|
| 434 |
"format": "SVG",
|
| 435 |
-
"width":
|
| 436 |
-
"height":
|
| 437 |
-
"view_box": "0 0
|
| 438 |
},
|
| 439 |
"source_script_exists": true
|
| 440 |
},
|
|
@@ -446,13 +463,13 @@
|
|
| 446 |
"source_script": "scripts/build_unified_task_model_radar.py",
|
| 447 |
"surface": "website unified task section, README, HF mirrors",
|
| 448 |
"exists": true,
|
| 449 |
-
"bytes":
|
| 450 |
-
"sha256": "
|
| 451 |
"dimensions": {
|
| 452 |
"format": "SVG",
|
| 453 |
-
"width":
|
| 454 |
-
"height":
|
| 455 |
-
"view_box": "0 0
|
| 456 |
},
|
| 457 |
"source_script_exists": true
|
| 458 |
},
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Figure Index",
|
| 3 |
"status": "pass",
|
| 4 |
+
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
{
|
| 9 |
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|
|
|
|
| 64 |
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|
| 65 |
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| 66 |
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| 67 |
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| 68 |
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| 69 |
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| 70 |
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| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
|
|
|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
+
{
|
| 111 |
+
"id": "task_direction_pipeline_relationship",
|
| 112 |
+
"title": "20-task / 4-direction / 3-pipeline relationship map",
|
| 113 |
+
"path": "docs/assets/charts/task_direction_pipeline_relationship.png",
|
| 114 |
+
"role": "Overview map showing the exact 20 task tiles, four research-direction groups, and three foundation-pipeline columns used by the public reader flow.",
|
| 115 |
+
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|
| 116 |
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| 117 |
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| 119 |
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| 120 |
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| 121 |
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|
| 122 |
+
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|
| 123 |
+
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|
| 124 |
+
},
|
| 125 |
+
"source_script_exists": true
|
| 126 |
+
},
|
| 127 |
{
|
| 128 |
"id": "spatial_intelligence_presentation_photo",
|
| 129 |
"title": "Spatial intelligence slide diagram",
|
|
|
|
| 373 |
"source_script": "scripts/generate_visualizations.py",
|
| 374 |
"surface": "website directions",
|
| 375 |
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|
| 376 |
+
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|
| 377 |
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|
| 378 |
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| 379 |
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|
| 380 |
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|
|
|
| 427 |
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|
| 428 |
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|
| 429 |
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|
| 430 |
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| 431 |
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| 432 |
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| 433 |
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| 434 |
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|
| 435 |
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|
| 436 |
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|
| 437 |
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|
| 438 |
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|
| 439 |
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|
|
|
| 445 |
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|
| 446 |
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| 447 |
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| 448 |
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| 449 |
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| 450 |
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| 451 |
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| 452 |
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"width": 2600,
|
| 453 |
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"height": 2300,
|
| 454 |
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|
| 455 |
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|
| 456 |
"source_script_exists": true
|
| 457 |
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|
|
|
| 463 |
"source_script": "scripts/build_unified_task_model_radar.py",
|
| 464 |
"surface": "website unified task section, README, HF mirrors",
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| 465 |
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| 466 |
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| 467 |
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| 468 |
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| 469 |
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| 470 |
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| 471 |
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| 472 |
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|
| 473 |
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|
| 474 |
"source_script_exists": true
|
| 475 |
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docs/data/mirror_parity.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-22T20:
|
| 4 |
"hf_root": "hf_publish",
|
| 5 |
"summary": {
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| 6 |
"group_count": 1306,
|
|
@@ -139,44 +139,44 @@
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|
| 139 |
"path": "repo:docs/data/artifact_index.json",
|
| 140 |
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|
| 141 |
"bytes": 124477,
|
| 142 |
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|
| 143 |
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|
| 144 |
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|
| 145 |
"hf_space": {
|
| 146 |
"path": "hf_space:data/artifact_index.json",
|
| 147 |
"exists": true,
|
| 148 |
"bytes": 124477,
|
| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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| 153 |
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|
| 154 |
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|
| 155 |
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|
| 156 |
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|
| 157 |
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|
| 158 |
"path": "hf_artifacts:docs/data/artifact_index.json",
|
| 159 |
"exists": true,
|
| 160 |
"bytes": 124477,
|
| 161 |
-
"sha256": "
|
| 162 |
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|
| 163 |
"hf_model_data": {
|
| 164 |
"path": "hf_model:data/artifact_index.json",
|
| 165 |
"exists": true,
|
| 166 |
"bytes": 124477,
|
| 167 |
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|
| 168 |
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|
| 169 |
"hf_model_docs_data": {
|
| 170 |
"path": "hf_model:docs/data/artifact_index.json",
|
| 171 |
"exists": true,
|
| 172 |
"bytes": 124477,
|
| 173 |
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|
| 174 |
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|
| 175 |
"hf_model": {
|
| 176 |
"path": "hf_model:metrics/artifact_index.json",
|
| 177 |
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|
| 178 |
"bytes": 124477,
|
| 179 |
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|
| 180 |
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|
| 181 |
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| 182 |
"failures": []
|
|
@@ -334,45 +334,45 @@
|
|
| 334 |
"local": {
|
| 335 |
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|
| 336 |
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|
| 337 |
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| 338 |
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|
| 339 |
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|
| 340 |
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|
| 341 |
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| 342 |
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| 343 |
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|
| 344 |
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| 345 |
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| 346 |
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| 347 |
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| 348 |
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| 349 |
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| 350 |
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| 351 |
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| 352 |
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| 353 |
"hf_artifacts": {
|
| 354 |
"path": "hf_artifacts:docs/data/figure_index.json",
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| 355 |
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|
| 356 |
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| 357 |
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|
| 358 |
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|
| 359 |
"hf_model_data": {
|
| 360 |
"path": "hf_model:data/figure_index.json",
|
| 361 |
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| 362 |
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| 363 |
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| 364 |
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| 365 |
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| 366 |
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| 367 |
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| 368 |
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| 370 |
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| 371 |
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| 372 |
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| 373 |
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|
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| 377 |
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| 378 |
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|
@@ -971,45 +971,45 @@
|
|
| 971 |
"local": {
|
| 972 |
"path": "repo:docs/data/publication_audit.json",
|
| 973 |
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| 974 |
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| 975 |
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| 976 |
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| 977 |
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| 978 |
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|
| 979 |
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|
| 980 |
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| 981 |
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| 982 |
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| 983 |
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| 984 |
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| 985 |
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| 986 |
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| 987 |
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| 988 |
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| 989 |
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| 990 |
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|
| 991 |
"path": "hf_artifacts:docs/data/publication_audit.json",
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| 992 |
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| 993 |
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| 994 |
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|
| 995 |
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| 996 |
"hf_model_data": {
|
| 997 |
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| 998 |
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| 999 |
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| 1000 |
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| 1001 |
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| 1002 |
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| 1003 |
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| 1004 |
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| 1005 |
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| 1006 |
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| 1007 |
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| 1008 |
"hf_model": {
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| 1009 |
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| 1010 |
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|
| 1011 |
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| 1012 |
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| 1013 |
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| 1014 |
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| 1015 |
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|
@@ -1021,44 +1021,44 @@
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|
| 1021 |
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|
| 1022 |
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| 1023 |
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|
| 1024 |
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| 1025 |
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| 1026 |
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| 1027 |
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| 1028 |
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| 1029 |
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| 1030 |
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|
| 1031 |
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| 1032 |
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| 1033 |
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| 1034 |
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| 1035 |
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| 1036 |
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| 1037 |
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| 1038 |
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| 1039 |
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|
| 1040 |
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| 1041 |
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| 1042 |
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|
| 1043 |
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| 1044 |
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| 1045 |
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| 1046 |
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| 1047 |
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| 1048 |
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| 1049 |
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| 1050 |
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| 1051 |
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| 1052 |
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| 1053 |
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| 1057 |
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| 1058 |
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| 1059 |
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| 1061 |
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| 1063 |
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| 1064 |
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@@ -1217,44 +1217,44 @@
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| 1217 |
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| 1218 |
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| 1219 |
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| 1220 |
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| 1221 |
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| 1222 |
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| 1223 |
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| 1224 |
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| 1229 |
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| 1230 |
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| 1231 |
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| 1232 |
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|
| 1233 |
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| 1234 |
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| 1235 |
"hf_artifacts": {
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| 1236 |
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| 1237 |
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| 1238 |
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| 1239 |
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| 1240 |
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| 1241 |
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|
| 1242 |
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| 1243 |
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|
| 1244 |
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| 1245 |
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| 1246 |
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| 1247 |
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| 1248 |
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| 1249 |
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|
| 1250 |
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|
| 1251 |
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| 1252 |
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| 1253 |
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| 1254 |
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| 1255 |
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| 1256 |
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|
| 1257 |
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| 1258 |
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| 1259 |
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| 1260 |
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|
@@ -1658,44 +1658,44 @@
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| 1658 |
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| 1659 |
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| 1660 |
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| 1665 |
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| 1666 |
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| 1668 |
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| 1669 |
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| 1670 |
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| 1671 |
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| 1672 |
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| 1675 |
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| 1676 |
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| 1677 |
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| 1678 |
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| 1679 |
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| 1680 |
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| 1681 |
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|
| 1682 |
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|
| 1683 |
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| 1684 |
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| 1685 |
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| 1686 |
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| 1687 |
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| 1688 |
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| 1689 |
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| 1690 |
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| 1691 |
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| 1693 |
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| 1694 |
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| 1695 |
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| 1696 |
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| 1697 |
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| 1698 |
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| 1700 |
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|
@@ -1756,44 +1756,44 @@
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| 1756 |
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| 1763 |
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| 1764 |
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| 1765 |
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| 1767 |
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| 1768 |
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| 1769 |
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| 1770 |
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| 1773 |
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| 1774 |
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| 1775 |
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| 1776 |
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| 1777 |
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| 1778 |
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| 1779 |
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| 1780 |
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| 1781 |
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| 1782 |
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| 1783 |
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| 1785 |
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| 1786 |
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| 1787 |
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| 1788 |
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| 1789 |
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|
| 1790 |
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|
| 1791 |
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|
| 1792 |
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|
| 1793 |
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| 1794 |
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|
| 1795 |
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|
| 1796 |
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| 1797 |
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|
| 1798 |
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| 1799 |
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|
@@ -2197,44 +2197,44 @@
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| 2197 |
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|
| 2198 |
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| 2199 |
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| 2200 |
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|
| 2201 |
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| 2202 |
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| 2203 |
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| 2204 |
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| 2205 |
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|
| 2206 |
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|
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docs/data/public_surface_qa.json
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| 19 |
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| 20 |
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| 28 |
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| 29 |
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| 32 |
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| 34 |
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| 35 |
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| 37 |
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| 39 |
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| 42 |
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| 43 |
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| 44 |
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| 47 |
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| 48 |
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| 49 |
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| 50 |
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| 52 |
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| 54 |
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| 2 |
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| 3 |
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| 5 |
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| 6 |
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| 7 |
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|
| 18 |
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| 19 |
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| 20 |
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| 22 |
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| 23 |
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| 24 |
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| 28 |
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| 29 |
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| 32 |
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| 33 |
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| 34 |
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| 35 |
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| 37 |
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| 39 |
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| 40 |
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| 42 |
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docs/data/publication_audit.json
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| 4 |
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|
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| 236 |
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| 252 |
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| 256 |
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| 2 |
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| 4 |
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| 6 |
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| 235 |
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| 236 |
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docs/data/quality_gates.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Release Checks",
|
| 3 |
"status": "pass",
|
| 4 |
-
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|
| 5 |
"rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
|
| 6 |
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|
| 7 |
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|
| 1 |
{
|
| 2 |
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|
| 3 |
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|
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
docs/data/scope_claims_audit.json
CHANGED
|
@@ -1,6 +1,6 @@
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|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
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|
| 1 |
{
|
| 2 |
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|
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|
| 4 |
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| 5 |
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|
| 6 |
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|
docs/data/source_alignment_audit.json
CHANGED
|
@@ -1,7 +1,7 @@
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|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Source Alignment Note",
|
| 3 |
"status": "pass",
|
| 4 |
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|
| 5 |
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|
| 6 |
"alignment_summary": {
|
| 7 |
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|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Source Alignment Note",
|
| 3 |
"status": "pass",
|
| 4 |
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"generated_at_utc": "2026-06-22T21:04:50+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 @@
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|
| 1 |
{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
docs/data/website_integrity.json
CHANGED
|
@@ -1,14 +1,14 @@
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|
| 1 |
{
|
| 2 |
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|
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|
| 4 |
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| 5 |
"site_base": "/ropedia-xperience-10m-task-suite/",
|
| 6 |
"summary": {
|
| 7 |
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|
| 8 |
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| 9 |
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|
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|
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|
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|
@@ -80,8 +80,8 @@
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|
| 80 |
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|
| 81 |
"status": "pass",
|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
{
|
| 87 |
"name": "project_status_links_json",
|
|
@@ -159,9 +159,9 @@
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|
| 159 |
"name": "evaluation_protocol_between_overview_and_progress",
|
| 160 |
"status": "pass",
|
| 161 |
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|
| 162 |
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| 163 |
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| 164 |
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| 165 |
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|
| 166 |
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|
| 167 |
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|
|
@@ -278,7 +278,7 @@
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|
| 278 |
"name": "task_cards_use_human_research_names",
|
| 279 |
"status": "pass",
|
| 280 |
"reason": "The public task surface should use readable research task names.",
|
| 281 |
-
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| 282 |
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|
| 283 |
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|
| 284 |
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|
@@ -291,8 +291,8 @@
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| 291 |
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| 292 |
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|
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| 297 |
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| 298 |
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|
@@ -345,7 +345,7 @@
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| 345 |
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| 346 |
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| 347 |
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| 420 |
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| 421 |
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| 422 |
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| 425 |
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| 426 |
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@@ -575,7 +575,7 @@
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|
| 575 |
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| 576 |
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| 577 |
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|
| 578 |
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| 581 |
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| 675 |
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| 676 |
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| 677 |
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|
| 678 |
{
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| 679 |
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|
| 680 |
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{
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| 2 |
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| 4 |
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| 5 |
"site_base": "/ropedia-xperience-10m-task-suite/",
|
| 6 |
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| 159 |
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|
| 160 |
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| 161 |
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| 162 |
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| 278 |
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| 279 |
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| 280 |
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|
| 281 |
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| 284 |
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| 421 |
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| 422 |
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| 576 |
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| 577 |
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| 675 |
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| 676 |
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| 677 |
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| 678 |
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| 679 |
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|
| 680 |
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| 687 |
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| 688 |
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docs/index.html
CHANGED
|
@@ -1763,6 +1763,159 @@
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|
| 1763 |
grid-template-columns: repeat(3, minmax(0, 1fr));
|
| 1764 |
gap: 12px;
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| 1765 |
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| 1766 |
.task-axis-card {
|
| 1767 |
border: 1px solid rgba(204, 255, 160, 0.15);
|
| 1768 |
border-radius: var(--radius);
|
|
@@ -5299,6 +5452,8 @@
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| 5299 |
}
|
| 5300 |
.reader-route-list,
|
| 5301 |
.task-axis-grid,
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|
| 5302 |
.method-flow-steps {
|
| 5303 |
grid-template-columns: repeat(2, minmax(0, 1fr));
|
| 5304 |
}
|
|
@@ -5592,7 +5747,15 @@
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|
| 5592 |
width: 100%;
|
| 5593 |
justify-content: center;
|
| 5594 |
}
|
| 5595 |
-
.hero-stats, .models, .task-grid, .artifact-grid, .evidence-grid, .reading-grid, .snapshot-grid, .roadmap-grid, .brief-grid, .surface-map, .boundary-strip, .chart-grid, .callout-row, .direction-grid, .baseline-strip, .extension-grid, .walk-flow, .flow-steps, .storyboard-steps, .task-selector, .hero-paths, .reader-journey, .resource-mode-grid, .suite-lines, .suite-line-facts, .result-reading-order, .reader-priority-grid, .result-rules-panel, .reader-route-list, .task-axis-grid, .method-flow-steps, .suite-task-index-head { grid-template-columns: 1fr; }
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| 5596 |
.task-index-grid {
|
| 5597 |
grid-template-columns: 1fr;
|
| 5598 |
}
|
|
@@ -6104,6 +6267,64 @@
|
|
| 6104 |
</div>
|
| 6105 |
<p>These are not three separate benchmarks. The 20 tasks are the scored contracts; the four directions group what those tasks study; the three foundation tracks describe how the same files can train larger models.</p>
|
| 6106 |
</div>
|
|
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|
| 6107 |
<div class="task-axis-grid">
|
| 6108 |
<article class="task-axis-card">
|
| 6109 |
<span>scored contracts</span>
|
|
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|
| 1763 |
grid-template-columns: repeat(3, minmax(0, 1fr));
|
| 1764 |
gap: 12px;
|
| 1765 |
}
|
| 1766 |
+
.task-axis-visual {
|
| 1767 |
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position: relative;
|
| 1768 |
+
margin: 0 0 16px;
|
| 1769 |
+
border: 1px solid rgba(204, 255, 160, 0.18);
|
| 1770 |
+
border-radius: var(--radius);
|
| 1771 |
+
overflow: hidden;
|
| 1772 |
+
background: #020502;
|
| 1773 |
+
box-shadow: inset 0 0 0 1px rgba(255, 255, 255, 0.02);
|
| 1774 |
+
}
|
| 1775 |
+
.task-axis-visual img {
|
| 1776 |
+
display: block;
|
| 1777 |
+
width: 100%;
|
| 1778 |
+
height: auto;
|
| 1779 |
+
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padding: 6px 7px;
|
| 1911 |
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|
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color: var(--green);
|
| 1914 |
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font-family: var(--font-mono);
|
| 1915 |
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font-size: 9px;
|
| 1916 |
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|
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|
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.task-axis-card {
|
| 1920 |
border: 1px solid rgba(204, 255, 160, 0.15);
|
| 1921 |
border-radius: var(--radius);
|
|
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|
| 5452 |
}
|
| 5453 |
.reader-route-list,
|
| 5454 |
.task-axis-grid,
|
| 5455 |
+
.task-axis-key,
|
| 5456 |
+
.task-axis-visual figcaption,
|
| 5457 |
.method-flow-steps {
|
| 5458 |
grid-template-columns: repeat(2, minmax(0, 1fr));
|
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}
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|
| 5747 |
width: 100%;
|
| 5748 |
justify-content: center;
|
| 5749 |
}
|
| 5750 |
+
.hero-stats, .models, .task-grid, .artifact-grid, .evidence-grid, .reading-grid, .snapshot-grid, .roadmap-grid, .brief-grid, .surface-map, .boundary-strip, .chart-grid, .callout-row, .direction-grid, .baseline-strip, .extension-grid, .walk-flow, .flow-steps, .storyboard-steps, .task-selector, .hero-paths, .reader-journey, .resource-mode-grid, .suite-lines, .suite-line-facts, .result-reading-order, .reader-priority-grid, .result-rules-panel, .reader-route-list, .task-axis-grid, .task-axis-key, .task-axis-task-list, .task-axis-visual figcaption, .method-flow-steps, .suite-task-index-head { grid-template-columns: 1fr; }
|
| 5751 |
+
.task-axis-visual img {
|
| 5752 |
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min-height: 0;
|
| 5753 |
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}
|
| 5754 |
+
.task-axis-visual figcaption {
|
| 5755 |
+
position: static;
|
| 5756 |
+
padding: 10px;
|
| 5757 |
+
background: rgba(2, 5, 2, 0.88);
|
| 5758 |
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}
|
| 5759 |
.task-index-grid {
|
| 5760 |
grid-template-columns: 1fr;
|
| 5761 |
}
|
|
|
|
| 6267 |
</div>
|
| 6268 |
<p>These are not three separate benchmarks. The 20 tasks are the scored contracts; the four directions group what those tasks study; the three foundation tracks describe how the same files can train larger models.</p>
|
| 6269 |
</div>
|
| 6270 |
+
<figure class="task-axis-visual">
|
| 6271 |
+
<img src="assets/charts/task_direction_pipeline_relationship.png?v=relationship-map-v1" alt="Text-free visual relationship map: twenty task nodes flow into four research grouping sectors, then into three foundation-model training pipelines.">
|
| 6272 |
+
<figcaption aria-label="Relationship map legend">
|
| 6273 |
+
<span><strong>20 tasks</strong>Benchmark contracts and score axes.</span>
|
| 6274 |
+
<span><strong>4 directions</strong>Research groupings over the same tasks.</span>
|
| 6275 |
+
<span><strong>3 pipelines</strong>Future model-training tracks from the same modalities.</span>
|
| 6276 |
+
</figcaption>
|
| 6277 |
+
</figure>
|
| 6278 |
+
<div class="task-axis-key" aria-label="Explicit relationship key for the map">
|
| 6279 |
+
<article class="task-axis-key-card">
|
| 6280 |
+
<span>20 task contracts</span>
|
| 6281 |
+
<strong>Every score axis is one of these tasks.</strong>
|
| 6282 |
+
<p>The generated image uses one node per task; this list gives the exact public task names.</p>
|
| 6283 |
+
<ol class="task-axis-task-list">
|
| 6284 |
+
<li><b>01</b>Action Recognition</li>
|
| 6285 |
+
<li><b>02</b>Procedure Step Recognition</li>
|
| 6286 |
+
<li><b>03</b>Action Boundary Detection</li>
|
| 6287 |
+
<li><b>04</b>Next-Action Prediction</li>
|
| 6288 |
+
<li><b>05</b>Hand Trajectory Forecasting</li>
|
| 6289 |
+
<li><b>06</b>Contact State Prediction</li>
|
| 6290 |
+
<li><b>07</b>Object Relevance Prediction</li>
|
| 6291 |
+
<li><b>08</b>Language Grounding</li>
|
| 6292 |
+
<li><b>09</b>Cross-Modal Retrieval</li>
|
| 6293 |
+
<li><b>10</b>Cross-Modal Reconstruction</li>
|
| 6294 |
+
<li><b>11</b>Temporal Order Verification</li>
|
| 6295 |
+
<li><b>12</b>Multimodal Synchronization Detection</li>
|
| 6296 |
+
<li><b>13</b>Long-Horizon Next-Action Forecasting</li>
|
| 6297 |
+
<li><b>14</b>Long-Horizon Next-Subtask Forecasting</li>
|
| 6298 |
+
<li><b>15</b>Interaction Text Prediction</li>
|
| 6299 |
+
<li><b>16</b>Action-Object Relation Prediction</li>
|
| 6300 |
+
<li><b>17</b>Future Object-Set Forecasting</li>
|
| 6301 |
+
<li><b>18</b>IMU-to-Hand Pose Reconstruction</li>
|
| 6302 |
+
<li><b>19</b>Camera-View Synchronization Retrieval</li>
|
| 6303 |
+
<li><b>20</b>Time-to-Next-Transition Regression</li>
|
| 6304 |
+
</ol>
|
| 6305 |
+
</article>
|
| 6306 |
+
<article class="task-axis-key-card">
|
| 6307 |
+
<span>4 research directions</span>
|
| 6308 |
+
<strong>The same tasks are grouped by research question.</strong>
|
| 6309 |
+
<p>Tasks can support more than one direction; the direction group is an interpretation layer, not a separate benchmark.</p>
|
| 6310 |
+
<ol class="task-axis-mini-list">
|
| 6311 |
+
<li><b>A</b>Human Modeling & Motion Understanding</li>
|
| 6312 |
+
<li><b>B</b>3D/4D Reconstruction & Neural Rendering</li>
|
| 6313 |
+
<li><b>C</b>Egocentric Vision & Interaction</li>
|
| 6314 |
+
<li><b>D</b>Scene Reconstruction & World Modeling</li>
|
| 6315 |
+
</ol>
|
| 6316 |
+
</article>
|
| 6317 |
+
<article class="task-axis-key-card">
|
| 6318 |
+
<span>3 foundation pipelines</span>
|
| 6319 |
+
<strong>The training tracks reuse the task and modality contracts.</strong>
|
| 6320 |
+
<p>These are scale-up recipes for model training, with separate gates before any result claim.</p>
|
| 6321 |
+
<ol class="task-axis-mini-list">
|
| 6322 |
+
<li><b>1</b>Spatial intelligence models</li>
|
| 6323 |
+
<li><b>2</b>Human-video world models</li>
|
| 6324 |
+
<li><b>3</b>Vision-language-action models</li>
|
| 6325 |
+
</ol>
|
| 6326 |
+
</article>
|
| 6327 |
+
</div>
|
| 6328 |
<div class="task-axis-grid">
|
| 6329 |
<article class="task-axis-card">
|
| 6330 |
<span>scored contracts</span>
|
index.html
CHANGED
|
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|
| 1763 |
grid-template-columns: repeat(3, minmax(0, 1fr));
|
| 1764 |
gap: 12px;
|
| 1765 |
}
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|
| 1766 |
.task-axis-card {
|
| 1767 |
border: 1px solid rgba(204, 255, 160, 0.15);
|
| 1768 |
border-radius: var(--radius);
|
|
@@ -5299,6 +5452,8 @@
|
|
| 5299 |
}
|
| 5300 |
.reader-route-list,
|
| 5301 |
.task-axis-grid,
|
|
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|
|
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|
| 5302 |
.method-flow-steps {
|
| 5303 |
grid-template-columns: repeat(2, minmax(0, 1fr));
|
| 5304 |
}
|
|
@@ -5592,7 +5747,15 @@
|
|
| 5592 |
width: 100%;
|
| 5593 |
justify-content: center;
|
| 5594 |
}
|
| 5595 |
-
.hero-stats, .models, .task-grid, .artifact-grid, .evidence-grid, .reading-grid, .snapshot-grid, .roadmap-grid, .brief-grid, .surface-map, .boundary-strip, .chart-grid, .callout-row, .direction-grid, .baseline-strip, .extension-grid, .walk-flow, .flow-steps, .storyboard-steps, .task-selector, .hero-paths, .reader-journey, .resource-mode-grid, .suite-lines, .suite-line-facts, .result-reading-order, .reader-priority-grid, .result-rules-panel, .reader-route-list, .task-axis-grid, .method-flow-steps, .suite-task-index-head { grid-template-columns: 1fr; }
|
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|
| 5596 |
.task-index-grid {
|
| 5597 |
grid-template-columns: 1fr;
|
| 5598 |
}
|
|
@@ -6104,6 +6267,64 @@
|
|
| 6104 |
</div>
|
| 6105 |
<p>These are not three separate benchmarks. The 20 tasks are the scored contracts; the four directions group what those tasks study; the three foundation tracks describe how the same files can train larger models.</p>
|
| 6106 |
</div>
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 6107 |
<div class="task-axis-grid">
|
| 6108 |
<article class="task-axis-card">
|
| 6109 |
<span>scored contracts</span>
|
|
|
|
| 1763 |
grid-template-columns: repeat(3, minmax(0, 1fr));
|
| 1764 |
gap: 12px;
|
| 1765 |
}
|
| 1766 |
+
.task-axis-visual {
|
| 1767 |
+
position: relative;
|
| 1768 |
+
margin: 0 0 16px;
|
| 1769 |
+
border: 1px solid rgba(204, 255, 160, 0.18);
|
| 1770 |
+
border-radius: var(--radius);
|
| 1771 |
+
overflow: hidden;
|
| 1772 |
+
background: #020502;
|
| 1773 |
+
box-shadow: inset 0 0 0 1px rgba(255, 255, 255, 0.02);
|
| 1774 |
+
}
|
| 1775 |
+
.task-axis-visual img {
|
| 1776 |
+
display: block;
|
| 1777 |
+
width: 100%;
|
| 1778 |
+
height: auto;
|
| 1779 |
+
min-height: 320px;
|
| 1780 |
+
object-fit: cover;
|
| 1781 |
+
background: #020502;
|
| 1782 |
+
}
|
| 1783 |
+
.task-axis-visual figcaption {
|
| 1784 |
+
position: absolute;
|
| 1785 |
+
left: 14px;
|
| 1786 |
+
right: 14px;
|
| 1787 |
+
bottom: 14px;
|
| 1788 |
+
display: grid;
|
| 1789 |
+
grid-template-columns: repeat(3, minmax(0, 1fr));
|
| 1790 |
+
gap: 8px;
|
| 1791 |
+
}
|
| 1792 |
+
.task-axis-visual figcaption span {
|
| 1793 |
+
border: 1px solid rgba(204, 255, 160, 0.22);
|
| 1794 |
+
border-radius: 8px;
|
| 1795 |
+
background: rgba(2, 5, 2, 0.72);
|
| 1796 |
+
backdrop-filter: blur(10px);
|
| 1797 |
+
color: rgba(245, 247, 240, 0.84);
|
| 1798 |
+
font-family: var(--font-ui);
|
| 1799 |
+
font-size: 12px;
|
| 1800 |
+
font-weight: 760;
|
| 1801 |
+
line-height: 1.2;
|
| 1802 |
+
padding: 10px 11px;
|
| 1803 |
+
}
|
| 1804 |
+
.task-axis-visual figcaption strong {
|
| 1805 |
+
display: block;
|
| 1806 |
+
color: var(--green);
|
| 1807 |
+
font-family: var(--font-mono);
|
| 1808 |
+
font-size: 10px;
|
| 1809 |
+
font-weight: 850;
|
| 1810 |
+
letter-spacing: 0.08em;
|
| 1811 |
+
margin-bottom: 4px;
|
| 1812 |
+
text-transform: uppercase;
|
| 1813 |
+
}
|
| 1814 |
+
.task-axis-key {
|
| 1815 |
+
display: grid;
|
| 1816 |
+
grid-template-columns: minmax(0, 1.24fr) minmax(0, 0.92fr) minmax(0, 0.84fr);
|
| 1817 |
+
gap: 12px;
|
| 1818 |
+
margin: 0 0 16px;
|
| 1819 |
+
}
|
| 1820 |
+
.task-axis-key-card {
|
| 1821 |
+
min-width: 0;
|
| 1822 |
+
border: 1px solid rgba(204, 255, 160, 0.16);
|
| 1823 |
+
border-radius: var(--radius);
|
| 1824 |
+
background: rgba(2, 5, 2, 0.52);
|
| 1825 |
+
padding: 14px;
|
| 1826 |
+
}
|
| 1827 |
+
.task-axis-key-card > span {
|
| 1828 |
+
display: inline-flex;
|
| 1829 |
+
align-items: center;
|
| 1830 |
+
gap: 8px;
|
| 1831 |
+
color: var(--green);
|
| 1832 |
+
font-family: var(--font-mono);
|
| 1833 |
+
font-size: 10px;
|
| 1834 |
+
font-weight: 850;
|
| 1835 |
+
letter-spacing: 0.08em;
|
| 1836 |
+
text-transform: uppercase;
|
| 1837 |
+
}
|
| 1838 |
+
.task-axis-key-card > span::before {
|
| 1839 |
+
content: "";
|
| 1840 |
+
width: 8px;
|
| 1841 |
+
height: 8px;
|
| 1842 |
+
border-radius: 999px;
|
| 1843 |
+
background: var(--green);
|
| 1844 |
+
box-shadow: 0 0 18px rgba(188, 255, 132, 0.42);
|
| 1845 |
+
}
|
| 1846 |
+
.task-axis-key-card strong {
|
| 1847 |
+
display: block;
|
| 1848 |
+
margin-top: 8px;
|
| 1849 |
+
color: var(--ink);
|
| 1850 |
+
font-family: var(--font-ui);
|
| 1851 |
+
font-size: 18px;
|
| 1852 |
+
line-height: 1.08;
|
| 1853 |
+
letter-spacing: 0;
|
| 1854 |
+
}
|
| 1855 |
+
.task-axis-key-card p {
|
| 1856 |
+
margin: 7px 0 0;
|
| 1857 |
+
color: var(--muted);
|
| 1858 |
+
font-size: 12px;
|
| 1859 |
+
line-height: 1.45;
|
| 1860 |
+
}
|
| 1861 |
+
.task-axis-mini-list {
|
| 1862 |
+
display: grid;
|
| 1863 |
+
gap: 7px;
|
| 1864 |
+
margin: 12px 0 0;
|
| 1865 |
+
padding: 0;
|
| 1866 |
+
list-style: none;
|
| 1867 |
+
}
|
| 1868 |
+
.task-axis-mini-list li {
|
| 1869 |
+
display: grid;
|
| 1870 |
+
grid-template-columns: auto 1fr;
|
| 1871 |
+
gap: 8px;
|
| 1872 |
+
align-items: start;
|
| 1873 |
+
min-width: 0;
|
| 1874 |
+
color: rgba(245, 247, 240, 0.84);
|
| 1875 |
+
font-family: var(--font-ui);
|
| 1876 |
+
font-size: 12px;
|
| 1877 |
+
font-weight: 720;
|
| 1878 |
+
line-height: 1.25;
|
| 1879 |
+
}
|
| 1880 |
+
.task-axis-mini-list b {
|
| 1881 |
+
min-width: 22px;
|
| 1882 |
+
color: var(--cyan);
|
| 1883 |
+
font-family: var(--font-mono);
|
| 1884 |
+
font-size: 10px;
|
| 1885 |
+
font-weight: 860;
|
| 1886 |
+
letter-spacing: 0.05em;
|
| 1887 |
+
}
|
| 1888 |
+
.task-axis-task-list {
|
| 1889 |
+
display: grid;
|
| 1890 |
+
grid-template-columns: repeat(2, minmax(0, 1fr));
|
| 1891 |
+
gap: 6px;
|
| 1892 |
+
margin: 12px 0 0;
|
| 1893 |
+
padding: 0;
|
| 1894 |
+
list-style: none;
|
| 1895 |
+
}
|
| 1896 |
+
.task-axis-task-list li {
|
| 1897 |
+
display: grid;
|
| 1898 |
+
grid-template-columns: auto 1fr;
|
| 1899 |
+
gap: 7px;
|
| 1900 |
+
min-width: 0;
|
| 1901 |
+
align-items: center;
|
| 1902 |
+
border: 1px solid rgba(204, 255, 160, 0.11);
|
| 1903 |
+
border-radius: 7px;
|
| 1904 |
+
background: rgba(204, 255, 160, 0.045);
|
| 1905 |
+
color: rgba(245, 247, 240, 0.82);
|
| 1906 |
+
font-family: var(--font-ui);
|
| 1907 |
+
font-size: 11px;
|
| 1908 |
+
font-weight: 700;
|
| 1909 |
+
line-height: 1.15;
|
| 1910 |
+
padding: 6px 7px;
|
| 1911 |
+
}
|
| 1912 |
+
.task-axis-task-list b {
|
| 1913 |
+
color: var(--green);
|
| 1914 |
+
font-family: var(--font-mono);
|
| 1915 |
+
font-size: 9px;
|
| 1916 |
+
font-weight: 850;
|
| 1917 |
+
letter-spacing: 0.04em;
|
| 1918 |
+
}
|
| 1919 |
.task-axis-card {
|
| 1920 |
border: 1px solid rgba(204, 255, 160, 0.15);
|
| 1921 |
border-radius: var(--radius);
|
|
|
|
| 5452 |
}
|
| 5453 |
.reader-route-list,
|
| 5454 |
.task-axis-grid,
|
| 5455 |
+
.task-axis-key,
|
| 5456 |
+
.task-axis-visual figcaption,
|
| 5457 |
.method-flow-steps {
|
| 5458 |
grid-template-columns: repeat(2, minmax(0, 1fr));
|
| 5459 |
}
|
|
|
|
| 5747 |
width: 100%;
|
| 5748 |
justify-content: center;
|
| 5749 |
}
|
| 5750 |
+
.hero-stats, .models, .task-grid, .artifact-grid, .evidence-grid, .reading-grid, .snapshot-grid, .roadmap-grid, .brief-grid, .surface-map, .boundary-strip, .chart-grid, .callout-row, .direction-grid, .baseline-strip, .extension-grid, .walk-flow, .flow-steps, .storyboard-steps, .task-selector, .hero-paths, .reader-journey, .resource-mode-grid, .suite-lines, .suite-line-facts, .result-reading-order, .reader-priority-grid, .result-rules-panel, .reader-route-list, .task-axis-grid, .task-axis-key, .task-axis-task-list, .task-axis-visual figcaption, .method-flow-steps, .suite-task-index-head { grid-template-columns: 1fr; }
|
| 5751 |
+
.task-axis-visual img {
|
| 5752 |
+
min-height: 0;
|
| 5753 |
+
}
|
| 5754 |
+
.task-axis-visual figcaption {
|
| 5755 |
+
position: static;
|
| 5756 |
+
padding: 10px;
|
| 5757 |
+
background: rgba(2, 5, 2, 0.88);
|
| 5758 |
+
}
|
| 5759 |
.task-index-grid {
|
| 5760 |
grid-template-columns: 1fr;
|
| 5761 |
}
|
|
|
|
| 6267 |
</div>
|
| 6268 |
<p>These are not three separate benchmarks. The 20 tasks are the scored contracts; the four directions group what those tasks study; the three foundation tracks describe how the same files can train larger models.</p>
|
| 6269 |
</div>
|
| 6270 |
+
<figure class="task-axis-visual">
|
| 6271 |
+
<img src="assets/charts/task_direction_pipeline_relationship.png?v=relationship-map-v1" alt="Text-free visual relationship map: twenty task nodes flow into four research grouping sectors, then into three foundation-model training pipelines.">
|
| 6272 |
+
<figcaption aria-label="Relationship map legend">
|
| 6273 |
+
<span><strong>20 tasks</strong>Benchmark contracts and score axes.</span>
|
| 6274 |
+
<span><strong>4 directions</strong>Research groupings over the same tasks.</span>
|
| 6275 |
+
<span><strong>3 pipelines</strong>Future model-training tracks from the same modalities.</span>
|
| 6276 |
+
</figcaption>
|
| 6277 |
+
</figure>
|
| 6278 |
+
<div class="task-axis-key" aria-label="Explicit relationship key for the map">
|
| 6279 |
+
<article class="task-axis-key-card">
|
| 6280 |
+
<span>20 task contracts</span>
|
| 6281 |
+
<strong>Every score axis is one of these tasks.</strong>
|
| 6282 |
+
<p>The generated image uses one node per task; this list gives the exact public task names.</p>
|
| 6283 |
+
<ol class="task-axis-task-list">
|
| 6284 |
+
<li><b>01</b>Action Recognition</li>
|
| 6285 |
+
<li><b>02</b>Procedure Step Recognition</li>
|
| 6286 |
+
<li><b>03</b>Action Boundary Detection</li>
|
| 6287 |
+
<li><b>04</b>Next-Action Prediction</li>
|
| 6288 |
+
<li><b>05</b>Hand Trajectory Forecasting</li>
|
| 6289 |
+
<li><b>06</b>Contact State Prediction</li>
|
| 6290 |
+
<li><b>07</b>Object Relevance Prediction</li>
|
| 6291 |
+
<li><b>08</b>Language Grounding</li>
|
| 6292 |
+
<li><b>09</b>Cross-Modal Retrieval</li>
|
| 6293 |
+
<li><b>10</b>Cross-Modal Reconstruction</li>
|
| 6294 |
+
<li><b>11</b>Temporal Order Verification</li>
|
| 6295 |
+
<li><b>12</b>Multimodal Synchronization Detection</li>
|
| 6296 |
+
<li><b>13</b>Long-Horizon Next-Action Forecasting</li>
|
| 6297 |
+
<li><b>14</b>Long-Horizon Next-Subtask Forecasting</li>
|
| 6298 |
+
<li><b>15</b>Interaction Text Prediction</li>
|
| 6299 |
+
<li><b>16</b>Action-Object Relation Prediction</li>
|
| 6300 |
+
<li><b>17</b>Future Object-Set Forecasting</li>
|
| 6301 |
+
<li><b>18</b>IMU-to-Hand Pose Reconstruction</li>
|
| 6302 |
+
<li><b>19</b>Camera-View Synchronization Retrieval</li>
|
| 6303 |
+
<li><b>20</b>Time-to-Next-Transition Regression</li>
|
| 6304 |
+
</ol>
|
| 6305 |
+
</article>
|
| 6306 |
+
<article class="task-axis-key-card">
|
| 6307 |
+
<span>4 research directions</span>
|
| 6308 |
+
<strong>The same tasks are grouped by research question.</strong>
|
| 6309 |
+
<p>Tasks can support more than one direction; the direction group is an interpretation layer, not a separate benchmark.</p>
|
| 6310 |
+
<ol class="task-axis-mini-list">
|
| 6311 |
+
<li><b>A</b>Human Modeling & Motion Understanding</li>
|
| 6312 |
+
<li><b>B</b>3D/4D Reconstruction & Neural Rendering</li>
|
| 6313 |
+
<li><b>C</b>Egocentric Vision & Interaction</li>
|
| 6314 |
+
<li><b>D</b>Scene Reconstruction & World Modeling</li>
|
| 6315 |
+
</ol>
|
| 6316 |
+
</article>
|
| 6317 |
+
<article class="task-axis-key-card">
|
| 6318 |
+
<span>3 foundation pipelines</span>
|
| 6319 |
+
<strong>The training tracks reuse the task and modality contracts.</strong>
|
| 6320 |
+
<p>These are scale-up recipes for model training, with separate gates before any result claim.</p>
|
| 6321 |
+
<ol class="task-axis-mini-list">
|
| 6322 |
+
<li><b>1</b>Spatial intelligence models</li>
|
| 6323 |
+
<li><b>2</b>Human-video world models</li>
|
| 6324 |
+
<li><b>3</b>Vision-language-action models</li>
|
| 6325 |
+
</ol>
|
| 6326 |
+
</article>
|
| 6327 |
+
</div>
|
| 6328 |
<div class="task-axis-grid">
|
| 6329 |
<article class="task-axis-card">
|
| 6330 |
<span>scored contracts</span>
|
scripts/build_figure_index.py
CHANGED
|
@@ -66,6 +66,14 @@ FIGURES = [
|
|
| 66 |
"source_script": "docs/assets/qwen3_omni_lora_pipeline.prompt.md",
|
| 67 |
"surface": "README, website, HF Space, artifact dataset, model card",
|
| 68 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 69 |
{
|
| 70 |
"id": "spatial_intelligence_presentation_photo",
|
| 71 |
"title": "Spatial intelligence slide diagram",
|
|
|
|
| 66 |
"source_script": "docs/assets/qwen3_omni_lora_pipeline.prompt.md",
|
| 67 |
"surface": "README, website, HF Space, artifact dataset, model card",
|
| 68 |
},
|
| 69 |
+
{
|
| 70 |
+
"id": "task_direction_pipeline_relationship",
|
| 71 |
+
"title": "20-task / 4-direction / 3-pipeline relationship map",
|
| 72 |
+
"path": "docs/assets/charts/task_direction_pipeline_relationship.png",
|
| 73 |
+
"role": "Overview map showing the exact 20 task tiles, four research-direction groups, and three foundation-pipeline columns used by the public reader flow.",
|
| 74 |
+
"source_script": "docs/assets/charts/task_direction_pipeline_relationship.prompt.md",
|
| 75 |
+
"surface": "website overview, HF Space, artifact dataset, model card",
|
| 76 |
+
},
|
| 77 |
{
|
| 78 |
"id": "spatial_intelligence_presentation_photo",
|
| 79 |
"title": "Spatial intelligence slide diagram",
|