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- FIGURE_INDEX.md +1 -1
- PROJECT_README.md +7 -5
- README.md +7 -5
- data/artifact_index.json +41 -29
- data/figure_index.json +6 -6
- data/mirror_parity.json +0 -0
- data/public_surface_qa.json +7 -7
- data/publication_audit.json +9 -9
- data/quality_gates.json +1 -1
- data/scope_claims_audit.json +1 -1
- data/source_alignment_audit.json +1 -1
- data/task_suite_20.json +1 -1
- data/task_surface_integrity.json +1 -1
- data/tier2_task_suite.json +1 -1
- data/unified_task_model_radar.json +153 -2
- data/website_integrity.json +11 -11
- docs/data/artifact_index.json +41 -29
- docs/data/figure_index.json +6 -6
- docs/data/mirror_parity.json +0 -0
- docs/data/public_surface_qa.json +7 -7
- docs/data/publication_audit.json +9 -9
- 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_suite_20.json +1 -1
- docs/data/task_surface_integrity.json +1 -1
- docs/data/tier2_task_suite.json +1 -1
- docs/data/unified_task_model_radar.json +153 -2
- docs/data/website_integrity.json +11 -11
- docs/index.html +2 -2
- index.html +2 -2
- metrics/artifact_index.json +41 -29
- metrics/figure_index.json +6 -6
- metrics/mirror_parity.json +0 -0
- metrics/public_surface_qa.json +7 -7
- metrics/publication_audit.json +9 -9
- metrics/quality_gates.json +1 -1
- metrics/scope_claims_audit.json +1 -1
- metrics/source_alignment_audit.json +1 -1
- metrics/task_suite_20.json +1 -1
- metrics/task_surface_integrity.json +1 -1
- metrics/tier2_task_suite.json +1 -1
- metrics/unified_task_model_radar.json +153 -2
- metrics/website_integrity.json +11 -11
- results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/BASELINE_ALIGNMENT_REPORT.md +35 -0
- results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/hand_trajectory_forecast/metrics.json +9 -0
- results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/modality_reconstruction/metrics.json +9 -0
- results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/next_action/confusion_matrix.csv +0 -0
- results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/next_action/metrics.json +189 -0
- results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/next_action/per_class_metrics.csv +1218 -0
FIGURE_INDEX.md
CHANGED
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@@ -31,7 +31,7 @@ Public figures, diagrams, charts, and derived modality thumbnails. Raw Xperience
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| 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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| 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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| Tasks 13-20 baseline chart | `docs/assets/charts/tier2_task_suite.svg` | 1440 x 832 | `scripts/tier2_task_suite.py` | Eight additional sample-supported tasks in the unified 20-task suite with aligned minimal and neural baseline metrics. |
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| Unified 20-task model radar | `docs/assets/charts/unified_task_model_radar.svg` | 1720 x
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| 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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| 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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| 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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| 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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| 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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| 33 |
| Tasks 13-20 baseline chart | `docs/assets/charts/tier2_task_suite.svg` | 1440 x 832 | `scripts/tier2_task_suite.py` | Eight additional sample-supported tasks in the unified 20-task suite with aligned minimal and neural baseline metrics. |
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| Unified 20-task model radar | `docs/assets/charts/unified_task_model_radar.svg` | 1720 x 1360 | `scripts/build_unified_task_model_radar.py` | Twenty-axis direction-aware comparison of minimal and neural MLP baselines, with 128-episode metadata, Qwen3, and Cosmos task-aligned overlay points and branch notes. |
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| 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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| 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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| 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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PROJECT_README.md
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@@ -315,11 +315,13 @@ also have a compact chart and result bundle under the historical
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The unified radar compares all 20 task axes with two filled colors for the
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minimal and neural MLP baselines.
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The website also includes a responsive native modality atlas backed by
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[`docs/data/modality_atlas.json`](docs/data/modality_atlas.json) and
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The unified radar compares all 20 task axes with two filled colors for the
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minimal and neural MLP baselines. The 128-episode metadata simple/NN
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overlays are plotted on the JSONL-supported task axes; Qwen3-Omni and Cosmos3
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overlays are plotted only where their verified 128-episode public metrics map
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to the same task semantics. Cosmos3-Super forward-dynamics LoRA remains a branch
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card because its camera-pose proxy MSE is not one of the 20 task metrics. The
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machine-readable copy is
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[`docs/data/unified_task_model_radar.json`](docs/data/unified_task_model_radar.json).
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The website also includes a responsive native modality atlas backed by
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[`docs/data/modality_atlas.json`](docs/data/modality_atlas.json) and
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README.md
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The unified radar compares all 20 task axes with two filled colors for the
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minimal and neural MLP baselines.
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The website also includes a responsive native modality atlas backed by
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[`docs/data/modality_atlas.json`](docs/data/modality_atlas.json) and
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The unified radar compares all 20 task axes with two filled colors for the
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minimal and neural MLP baselines. The 128-episode metadata simple/NN
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overlays are plotted on the JSONL-supported task axes; Qwen3-Omni and Cosmos3
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overlays are plotted only where their verified 128-episode public metrics map
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to the same task semantics. Cosmos3-Super forward-dynamics LoRA remains a branch
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card because its camera-pose proxy MSE is not one of the 20 task metrics. The
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machine-readable copy is
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[`docs/data/unified_task_model_radar.json`](docs/data/unified_task_model_radar.json).
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The website also includes a responsive native modality atlas backed by
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[`docs/data/modality_atlas.json`](docs/data/modality_atlas.json) and
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data/artifact_index.json
CHANGED
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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-
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"status": "pass",
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"artifact_count":
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"missing": [],
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"by_kind": {
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"project_path": 14,
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"website_data": 6,
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"generated_figure": 5,
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"visualization_builder": 1,
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"result_interpretation": 5,
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"metrics_source": 27,
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"visual_evidence": 7,
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"surface": "repo_hf",
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"shows": "Runs simple metadata and neural MLP baselines on the same selected 96/16/16 episode split used by the Qwen3-Omni diagnostic pilot.",
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"exists": true,
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"bytes":
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"sha256": "
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"id": "task_suite_enhancement_128",
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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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"id": "source_alignment_validator",
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"shows": "Machine-readable unified 20-task index for the website, Hugging Face mirrors, and live verification.",
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"exists": true,
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"bytes": 34648,
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"sha256": "
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"id": "task_suite_20_builder",
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"surface": "website_hf",
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"shows": "Stores normalized 20-axis radar values, raw task metrics, Qwen3/Cosmos overlay mappings, and branch-card caveats.",
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"exists": true,
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"bytes":
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"id": "unified_task_model_radar_chart",
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"surface": "website_hf",
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"shows": "Compares minimal and neural MLP baselines across all 20 tasks, with Qwen3/Cosmos task-aligned model overlays.",
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"exists": true,
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"bytes":
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"sha256": "
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"id": "unified_task_model_radar_builder",
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"surface": "repo_hf",
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"shows": "Regenerates the direction-aware radar chart and machine-readable metric overlay JSON.",
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"exists": true,
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"bytes":
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"sha256": "
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"id": "research_takeaways",
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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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"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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"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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"bytes":
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"sha256": "
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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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"id": "public_surface_qa",
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"shows": "Keeps the repo, website, and Hugging Face cards aligned as one cohesive research project surface.",
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"exists": true,
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"bytes": 1939,
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"sha256": "
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"volatile": true,
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"shows": "Machine-readable report for SEO/social metadata, accessible tab semantics, public links, project links, and clear project presentation.",
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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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"volatile": true,
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"shows": "Records the last live GitHub/HF URL verification after upload.",
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"exists": true,
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"hash_policy": "existence_and_size_only"
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"surface": "repo_hf",
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"shows": "Generates the selective artifact catalog from local files.",
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"exists": true,
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"id": "publication_audit",
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"volatile": true,
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"shows": "Confirms public bundles exclude raw data, caches, heavy archives, and credential text.",
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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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"volatile": true,
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"shows": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
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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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"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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"shows": "Stores the historical result bundle for unified tasks 13-20 with minimal and neural baselines aligned to the same 20-task window/split setup.",
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"exists": true,
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"bytes": 33402,
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"shows": "Machine-readable tasks 13-20 definitions, setup alignment, metrics, and public source paths; the file name is historical.",
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"bytes": 33402,
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"id": "tier2_task_suite_chart",
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{
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"title": "Ropedia Xperience-10M Task Suite Artifact Index",
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"generated_at_utc": "2026-06-16T06:28:50+00:00",
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"status": "pass",
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"artifact_count": 176,
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"missing": [],
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"by_kind": {
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"project_path": 14,
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"website_data": 6,
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"generated_figure": 5,
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"visualization_builder": 1,
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"model_result": 1,
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"result_interpretation": 5,
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"metrics_source": 27,
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"visual_evidence": 7,
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"surface": "repo_hf",
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"shows": "Runs simple metadata and neural MLP baselines on the same selected 96/16/16 episode split used by the Qwen3-Omni diagnostic pilot.",
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"exists": true,
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"bytes": 49299,
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"sha256": "9c1d998792f1082db5f4f190f1c1662bc957450f6f32506b4cc3cbdb99323554"
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{
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"id": "task_suite_enhancement_128",
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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": "07798a6609929512ae6f9368dc2626b0a854b828682b8d0dfa0323698eb0f5bf"
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},
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"id": "source_alignment_validator",
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"shows": "Machine-readable unified 20-task index for the website, Hugging Face mirrors, and live verification.",
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"exists": true,
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"bytes": 34648,
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"sha256": "ed4963f210884cb74fb672ecb3e50b87a6295f43b54f2f1bd25ef5c2cddf3a39"
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{
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"id": "task_suite_20_builder",
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"surface": "website_hf",
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"shows": "Stores normalized 20-axis radar values, raw task metrics, Qwen3/Cosmos overlay mappings, and branch-card caveats.",
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"exists": true,
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"sha256": "039ecf90094b813984cdd439017d383e1712c97d2eca8e7060c9981e20e08f7b"
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"id": "unified_task_model_radar_chart",
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"surface": "website_hf",
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"shows": "Compares minimal and neural MLP baselines across all 20 tasks, with Qwen3/Cosmos task-aligned model overlays.",
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{
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"id": "unified_task_model_radar_builder",
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"surface": "repo_hf",
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"shows": "Regenerates the direction-aware radar chart and machine-readable metric overlay JSON.",
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"exists": true,
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"bytes": 23778,
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"sha256": "feb3f2ca48bf05bda6e32678ad1e70a3c36296ae514bebe1e407cb7870009f2b"
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},
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{
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"id": "a100_128_metadata_task_baselines",
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"title": "128-episode metadata task baselines",
|
| 616 |
+
"path": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/summary_report.json",
|
| 617 |
+
"kind": "model_result",
|
| 618 |
+
"surface": "repo_hf",
|
| 619 |
+
"shows": "Rerun of JSONL metadata/text simple and neural baselines over the selected 128-episode multiscale dataset; supports radar overlays on JSONL-supported task axes.",
|
| 620 |
+
"exists": true,
|
| 621 |
+
"bytes": 46996,
|
| 622 |
+
"sha256": "e52b42fef73ab8e3647ce28361cb8c01095e3e8a7228c86b09d484cfa15b1830"
|
| 623 |
},
|
| 624 |
{
|
| 625 |
"id": "research_takeaways",
|
|
|
|
| 717 |
"surface": "repo_hf",
|
| 718 |
"shows": "Catalogs public figures, charts, modality thumbnails, dimensions, hashes, roles, and source scripts.",
|
| 719 |
"exists": true,
|
| 720 |
+
"bytes": 5619,
|
| 721 |
+
"sha256": "4e22701530f12319291f611ccb1b23b647d3905bc6b4fc13d971fc1e5a6ea89d"
|
| 722 |
},
|
| 723 |
{
|
| 724 |
"id": "figure_index_json",
|
|
|
|
| 728 |
"surface": "website_hf",
|
| 729 |
"shows": "Machine-readable visual asset index for website and Hugging Face mirrors.",
|
| 730 |
"exists": true,
|
| 731 |
+
"bytes": 15731,
|
| 732 |
+
"sha256": "e12260ee4d0f8a8c74700398df555100745dcecfa4f258c4fd6b68925512a1c5"
|
| 733 |
},
|
| 734 |
{
|
| 735 |
"id": "figure_index_builder",
|
|
|
|
| 739 |
"surface": "repo_hf",
|
| 740 |
"shows": "Regenerates visual-asset hashes, dimensions, and source-script provenance.",
|
| 741 |
"exists": true,
|
| 742 |
+
"bytes": 14431,
|
| 743 |
+
"sha256": "655bb0a46b785f51bd2aa3522be358ea1d52d891bf78f9d13c32ceb04ee80f52"
|
| 744 |
},
|
| 745 |
{
|
| 746 |
"id": "brand_assets_json",
|
|
|
|
| 806 |
"shows": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
|
| 807 |
"exists": true,
|
| 808 |
"bytes": 8100,
|
| 809 |
+
"sha256": "6ffa21b6c04d5ae843310ec2fa6856ed1d9f40797575a417471cec17fc447c89"
|
| 810 |
},
|
| 811 |
{
|
| 812 |
"id": "public_surface_qa",
|
|
|
|
| 817 |
"shows": "Keeps the repo, website, and Hugging Face cards aligned as one cohesive research project surface.",
|
| 818 |
"exists": true,
|
| 819 |
"bytes": 1939,
|
| 820 |
+
"sha256": "6172c436593244cb8c1524f4a51e0d53c3a90b1126e16f8bf5c2a675e9800861"
|
| 821 |
},
|
| 822 |
{
|
| 823 |
"id": "public_surface_qa_json",
|
|
|
|
| 828 |
"volatile": true,
|
| 829 |
"shows": "Machine-readable report for SEO/social metadata, accessible tab semantics, public links, project links, and clear project presentation.",
|
| 830 |
"exists": true,
|
| 831 |
+
"bytes": 5882,
|
| 832 |
"hash_policy": "existence_and_size_only"
|
| 833 |
},
|
| 834 |
{
|
|
|
|
| 909 |
"volatile": true,
|
| 910 |
"shows": "Records the last live GitHub/HF URL verification after upload.",
|
| 911 |
"exists": true,
|
| 912 |
+
"bytes": 131863,
|
| 913 |
"hash_policy": "existence_and_size_only"
|
| 914 |
},
|
| 915 |
{
|
|
|
|
| 953 |
"surface": "repo_hf",
|
| 954 |
"shows": "Generates the selective artifact catalog from local files.",
|
| 955 |
"exists": true,
|
| 956 |
+
"bytes": 48219,
|
| 957 |
+
"sha256": "c8a612f4b1ade34cfe41abcfe5515da77c0dbe3cbcf3344b4b8a079eac1e0493"
|
| 958 |
},
|
| 959 |
{
|
| 960 |
"id": "publication_audit",
|
|
|
|
| 965 |
"volatile": true,
|
| 966 |
"shows": "Confirms public bundles exclude raw data, caches, heavy archives, and credential text.",
|
| 967 |
"exists": true,
|
| 968 |
+
"bytes": 7881,
|
| 969 |
"hash_policy": "existence_and_size_only"
|
| 970 |
},
|
| 971 |
{
|
|
|
|
| 989 |
"volatile": true,
|
| 990 |
"shows": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
|
| 991 |
"exists": true,
|
| 992 |
+
"bytes": 635505,
|
| 993 |
"hash_policy": "existence_and_size_only"
|
| 994 |
},
|
| 995 |
{
|
|
|
|
| 1001 |
"volatile": true,
|
| 1002 |
"shows": "Confirms local website links, anchors, JSON data files, and referenced images resolve.",
|
| 1003 |
"exists": true,
|
| 1004 |
+
"bytes": 18100,
|
| 1005 |
"hash_policy": "existence_and_size_only"
|
| 1006 |
},
|
| 1007 |
{
|
|
|
|
| 1112 |
"shows": "Stores the historical result bundle for unified tasks 13-20 with minimal and neural baselines aligned to the same 20-task window/split setup.",
|
| 1113 |
"exists": true,
|
| 1114 |
"bytes": 33402,
|
| 1115 |
+
"sha256": "5a1051d25ceafe53c60dbd5b81d4b686a421c493ad09a462ad96bac100c5f3f3"
|
| 1116 |
},
|
| 1117 |
{
|
| 1118 |
"id": "tier2_task_suite_json",
|
|
|
|
| 1123 |
"shows": "Machine-readable tasks 13-20 definitions, setup alignment, metrics, and public source paths; the file name is historical.",
|
| 1124 |
"exists": true,
|
| 1125 |
"bytes": 33402,
|
| 1126 |
+
"sha256": "5a1051d25ceafe53c60dbd5b81d4b686a421c493ad09a462ad96bac100c5f3f3"
|
| 1127 |
},
|
| 1128 |
{
|
| 1129 |
"id": "tier2_task_suite_chart",
|
data/figure_index.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 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": 24,
|
| 7 |
"figures": [
|
|
@@ -355,17 +355,17 @@
|
|
| 355 |
"id": "unified_task_model_radar",
|
| 356 |
"title": "Unified 20-task model radar",
|
| 357 |
"path": "docs/assets/charts/unified_task_model_radar.svg",
|
| 358 |
-
"role": "Twenty-axis direction-aware comparison of minimal and neural MLP baselines, with Qwen3
|
| 359 |
"source_script": "scripts/build_unified_task_model_radar.py",
|
| 360 |
"surface": "website unified task section, README, HF mirrors",
|
| 361 |
"exists": true,
|
| 362 |
-
"bytes":
|
| 363 |
-
"sha256": "
|
| 364 |
"dimensions": {
|
| 365 |
"format": "SVG",
|
| 366 |
"width": 1720,
|
| 367 |
-
"height":
|
| 368 |
-
"view_box": "0 0 1720
|
| 369 |
},
|
| 370 |
"source_script_exists": true
|
| 371 |
},
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Figure Index",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-16T06:28:50+00:00",
|
| 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": 24,
|
| 7 |
"figures": [
|
|
|
|
| 355 |
"id": "unified_task_model_radar",
|
| 356 |
"title": "Unified 20-task model radar",
|
| 357 |
"path": "docs/assets/charts/unified_task_model_radar.svg",
|
| 358 |
+
"role": "Twenty-axis direction-aware comparison of minimal and neural MLP baselines, with 128-episode metadata, Qwen3, and Cosmos task-aligned overlay points and branch notes.",
|
| 359 |
"source_script": "scripts/build_unified_task_model_radar.py",
|
| 360 |
"surface": "website unified task section, README, HF mirrors",
|
| 361 |
"exists": true,
|
| 362 |
+
"bytes": 30823,
|
| 363 |
+
"sha256": "c26b73cdfd53ec81b9b4958a03309d11b297a09c841ce38e7309c90dcdeb17b0",
|
| 364 |
"dimensions": {
|
| 365 |
"format": "SVG",
|
| 366 |
"width": 1720,
|
| 367 |
+
"height": 1360,
|
| 368 |
+
"view_box": "0 0 1720 1360"
|
| 369 |
},
|
| 370 |
"source_script_exists": true
|
| 371 |
},
|
data/mirror_parity.json
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
data/public_surface_qa.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Public Project Surface",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
|
| 6 |
"checks": [
|
| 7 |
{
|
|
@@ -18,7 +18,7 @@
|
|
| 18 |
"website_integrity": {
|
| 19 |
"exists": true,
|
| 20 |
"status": "pass",
|
| 21 |
-
"generated_at_utc": "2026-06-
|
| 22 |
},
|
| 23 |
"rendered_site_check": {
|
| 24 |
"exists": true,
|
|
@@ -28,27 +28,27 @@
|
|
| 28 |
"task_surface_integrity": {
|
| 29 |
"exists": true,
|
| 30 |
"status": "pass",
|
| 31 |
-
"generated_at_utc": "2026-06-
|
| 32 |
},
|
| 33 |
"source_alignment": {
|
| 34 |
"exists": true,
|
| 35 |
"status": "pass",
|
| 36 |
-
"generated_at_utc": "2026-06-
|
| 37 |
},
|
| 38 |
"scale_up_status": {
|
| 39 |
"exists": true,
|
| 40 |
"status": "pass",
|
| 41 |
-
"generated_at_utc": "2026-06-
|
| 42 |
},
|
| 43 |
"publication_package": {
|
| 44 |
"exists": true,
|
| 45 |
"status": "pass",
|
| 46 |
-
"generated_at_utc": "2026-06-
|
| 47 |
},
|
| 48 |
"mirror_parity": {
|
| 49 |
"exists": true,
|
| 50 |
"status": "pass",
|
| 51 |
-
"generated_at_utc": "2026-06-
|
| 52 |
}
|
| 53 |
},
|
| 54 |
"failures": {}
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Public Project Surface",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-16T06:36:03+00:00",
|
| 5 |
"scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
|
| 6 |
"checks": [
|
| 7 |
{
|
|
|
|
| 18 |
"website_integrity": {
|
| 19 |
"exists": true,
|
| 20 |
"status": "pass",
|
| 21 |
+
"generated_at_utc": "2026-06-16T06:32:53+00:00"
|
| 22 |
},
|
| 23 |
"rendered_site_check": {
|
| 24 |
"exists": true,
|
|
|
|
| 28 |
"task_surface_integrity": {
|
| 29 |
"exists": true,
|
| 30 |
"status": "pass",
|
| 31 |
+
"generated_at_utc": "2026-06-16T06:32:52+00:00"
|
| 32 |
},
|
| 33 |
"source_alignment": {
|
| 34 |
"exists": true,
|
| 35 |
"status": "pass",
|
| 36 |
+
"generated_at_utc": "2026-06-16T06:32:52+00:00"
|
| 37 |
},
|
| 38 |
"scale_up_status": {
|
| 39 |
"exists": true,
|
| 40 |
"status": "pass",
|
| 41 |
+
"generated_at_utc": "2026-06-16T06:33:02+00:00"
|
| 42 |
},
|
| 43 |
"publication_package": {
|
| 44 |
"exists": true,
|
| 45 |
"status": "pass",
|
| 46 |
+
"generated_at_utc": "2026-06-16T06:33:43+00:00"
|
| 47 |
},
|
| 48 |
"mirror_parity": {
|
| 49 |
"exists": true,
|
| 50 |
"status": "pass",
|
| 51 |
+
"generated_at_utc": "2026-06-16T06:33:38+00:00"
|
| 52 |
}
|
| 53 |
},
|
| 54 |
"failures": {}
|
data/publication_audit.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"checks": [
|
| 5 |
{
|
| 6 |
"name": "required_publication_assets_present",
|
|
@@ -193,8 +193,8 @@
|
|
| 193 |
"github_repo": {
|
| 194 |
"root": "repo",
|
| 195 |
"exists": true,
|
| 196 |
-
"file_count":
|
| 197 |
-
"text_file_count":
|
| 198 |
"largest_file": {
|
| 199 |
"path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
|
| 200 |
"bytes": 55702978
|
|
@@ -204,8 +204,8 @@
|
|
| 204 |
"hf_space_bundle": {
|
| 205 |
"root": "hf_publish/space",
|
| 206 |
"exists": true,
|
| 207 |
-
"file_count":
|
| 208 |
-
"text_file_count":
|
| 209 |
"largest_file": {
|
| 210 |
"path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
|
| 211 |
"bytes": 55702978
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|
@@ -215,8 +215,8 @@
|
|
| 215 |
"hf_artifact_bundle": {
|
| 216 |
"root": "hf_publish/artifacts",
|
| 217 |
"exists": true,
|
| 218 |
-
"file_count":
|
| 219 |
-
"text_file_count":
|
| 220 |
"largest_file": {
|
| 221 |
"path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
|
| 222 |
"bytes": 55702978
|
|
@@ -226,8 +226,8 @@
|
|
| 226 |
"hf_model_bundle": {
|
| 227 |
"root": "hf_publish/model",
|
| 228 |
"exists": true,
|
| 229 |
-
"file_count":
|
| 230 |
-
"text_file_count":
|
| 231 |
"largest_file": {
|
| 232 |
"path": "pytorch_model.bin",
|
| 233 |
"bytes": 93495480
|
|
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
+
"generated_at_utc": "2026-06-16T06:38:03+00:00",
|
| 4 |
"checks": [
|
| 5 |
{
|
| 6 |
"name": "required_publication_assets_present",
|
|
|
|
| 193 |
"github_repo": {
|
| 194 |
"root": "repo",
|
| 195 |
"exists": true,
|
| 196 |
+
"file_count": 1040,
|
| 197 |
+
"text_file_count": 855,
|
| 198 |
"largest_file": {
|
| 199 |
"path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
|
| 200 |
"bytes": 55702978
|
|
|
|
| 204 |
"hf_space_bundle": {
|
| 205 |
"root": "hf_publish/space",
|
| 206 |
"exists": true,
|
| 207 |
+
"file_count": 824,
|
| 208 |
+
"text_file_count": 678,
|
| 209 |
"largest_file": {
|
| 210 |
"path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
|
| 211 |
"bytes": 55702978
|
|
|
|
| 215 |
"hf_artifact_bundle": {
|
| 216 |
"root": "hf_publish/artifacts",
|
| 217 |
"exists": true,
|
| 218 |
+
"file_count": 1951,
|
| 219 |
+
"text_file_count": 857,
|
| 220 |
"largest_file": {
|
| 221 |
"path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
|
| 222 |
"bytes": 55702978
|
|
|
|
| 226 |
"hf_model_bundle": {
|
| 227 |
"root": "hf_publish/model",
|
| 228 |
"exists": true,
|
| 229 |
+
"file_count": 2374,
|
| 230 |
+
"text_file_count": 1015,
|
| 231 |
"largest_file": {
|
| 232 |
"path": "pytorch_model.bin",
|
| 233 |
"bytes": 93495480
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data/quality_gates.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Release Checks",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
|
| 6 |
"automated_gates": [
|
| 7 |
{
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Release Checks",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-16T06:36:08+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": "2026-06-16T06:36:49+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": "2026-06-16T06:36:43+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_suite_20.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Unified 20-Task Suite",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"task_count": 20,
|
| 6 |
"task_count_breakdown": {
|
| 7 |
"original_public_sample_tasks": 12,
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| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Unified 20-Task Suite",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-16T06:26:17+00:00",
|
| 5 |
"task_count": 20,
|
| 6 |
"task_count_breakdown": {
|
| 7 |
"original_public_sample_tasks": 12,
|
data/task_surface_integrity.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"summary": {
|
| 5 |
"task_count": 12,
|
| 6 |
"expected_task_count": 12,
|
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|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
+
"generated_at_utc": "2026-06-16T06:36:43+00:00",
|
| 4 |
"summary": {
|
| 5 |
"task_count": 12,
|
| 6 |
"expected_task_count": 12,
|
data/tier2_task_suite.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Unified Tasks 13-20 Result Bundle",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"suite_position": "tasks_13_to_20",
|
| 6 |
"legacy_path_note": "The tier2_task_suite file and directory names are retained for stable public links; these tasks are part of the unified 20-task suite, not a separate public tier.",
|
| 7 |
"integrated_with_tasks_1_to_12": {
|
|
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| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Unified Tasks 13-20 Result Bundle",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-16T06:25:58+00:00",
|
| 5 |
"suite_position": "tasks_13_to_20",
|
| 6 |
"legacy_path_note": "The tier2_task_suite file and directory names are retained for stable public links; these tasks are part of the unified 20-task suite, not a separate public tier.",
|
| 7 |
"integrated_with_tasks_1_to_12": {
|
data/unified_task_model_radar.json
CHANGED
|
@@ -1,13 +1,14 @@
|
|
| 1 |
{
|
| 2 |
"title": "Unified 20-Task Model Radar",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"task_count": 20,
|
| 6 |
"normalization_policy": {
|
| 7 |
"higher_is_better": "bounded metrics are plotted directly on 0-1 axes after clipping to [0, 1]",
|
| 8 |
"lower_is_better": "lower-error metrics are converted to best_observed_value / raw_value within the same task",
|
| 9 |
"raw_values": "raw metric values, metric keys, and sources are retained in this JSON; the SVG is an overview, not a replacement for the metric table",
|
| 10 |
-
"foundation_model_overlay": "Qwen3/Cosmos points are plotted only on task-aligned axes. Missing axes mean the public result does not evaluate that task contract."
|
|
|
|
| 11 |
},
|
| 12 |
"series": [
|
| 13 |
{
|
|
@@ -32,6 +33,28 @@
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|
| 32 |
"covered_task_count": 20,
|
| 33 |
"coverage_fraction": 1.0
|
| 34 |
},
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|
| 35 |
{
|
| 36 |
"id": "qwen3_omni_v6_lora",
|
| 37 |
"label": "Qwen3-Omni v6 LoRA",
|
|
@@ -116,6 +139,22 @@
|
|
| 116 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 117 |
"normalized_score": 0.007936507936507936,
|
| 118 |
"raw_text": "0.0079"
|
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| 119 |
}
|
| 120 |
}
|
| 121 |
},
|
|
@@ -160,6 +199,22 @@
|
|
| 160 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 161 |
"normalized_score": 0.0,
|
| 162 |
"raw_text": "0.0000"
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| 163 |
}
|
| 164 |
}
|
| 165 |
},
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|
@@ -212,6 +267,22 @@
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|
| 212 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 213 |
"normalized_score": 0.9682539682539683,
|
| 214 |
"raw_text": "0.9683"
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| 215 |
}
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| 216 |
}
|
| 217 |
},
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|
@@ -264,6 +335,22 @@
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|
| 264 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 265 |
"normalized_score": 0.007936507936507936,
|
| 266 |
"raw_text": "0.0079"
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|
| 267 |
}
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| 268 |
}
|
| 269 |
},
|
|
@@ -344,6 +431,22 @@
|
|
| 344 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 345 |
"normalized_score": 0.7433862433862434,
|
| 346 |
"raw_text": "0.7434"
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| 347 |
}
|
| 348 |
}
|
| 349 |
},
|
|
@@ -388,6 +491,22 @@
|
|
| 388 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 389 |
"normalized_score": 0.13704276146316333,
|
| 390 |
"raw_text": "0.1370"
|
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|
| 391 |
}
|
| 392 |
}
|
| 393 |
},
|
|
@@ -416,6 +535,14 @@
|
|
| 416 |
"scope": "single_episode_public_sample",
|
| 417 |
"normalized_score": 0.01684125567132316,
|
| 418 |
"raw_text": "0.0168"
|
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|
| 419 |
}
|
| 420 |
}
|
| 421 |
},
|
|
@@ -508,6 +635,14 @@
|
|
| 508 |
"scope": "single_episode_public_sample",
|
| 509 |
"normalized_score": 0.8520179372197308,
|
| 510 |
"raw_text": "0.8520"
|
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|
| 511 |
}
|
| 512 |
}
|
| 513 |
},
|
|
@@ -765,6 +900,22 @@
|
|
| 765 |
}
|
| 766 |
],
|
| 767 |
"model_branch_cards": [
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|
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|
|
| 768 |
{
|
| 769 |
"id": "qwen3_omni_v6_lora",
|
| 770 |
"title": "Qwen3-Omni v6 LoRA",
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Unified 20-Task Model Radar",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-16T06:32:05+00:00",
|
| 5 |
"task_count": 20,
|
| 6 |
"normalization_policy": {
|
| 7 |
"higher_is_better": "bounded metrics are plotted directly on 0-1 axes after clipping to [0, 1]",
|
| 8 |
"lower_is_better": "lower-error metrics are converted to best_observed_value / raw_value within the same task",
|
| 9 |
"raw_values": "raw metric values, metric keys, and sources are retained in this JSON; the SVG is an overview, not a replacement for the metric table",
|
| 10 |
+
"foundation_model_overlay": "Qwen3/Cosmos points are plotted only on task-aligned axes. Missing axes mean the public result does not evaluate that task contract.",
|
| 11 |
+
"metadata_128_overlay": "128-episode metadata baselines are plotted only where the public JSONL contains enough task labels without raw feature blocks."
|
| 12 |
},
|
| 13 |
"series": [
|
| 14 |
{
|
|
|
|
| 33 |
"covered_task_count": 20,
|
| 34 |
"coverage_fraction": 1.0
|
| 35 |
},
|
| 36 |
+
{
|
| 37 |
+
"id": "metadata128_simple",
|
| 38 |
+
"label": "128ep Metadata Simple",
|
| 39 |
+
"short_label": "128-S",
|
| 40 |
+
"color": "#ffd166",
|
| 41 |
+
"kind": "partial_128_episode_metadata_baseline",
|
| 42 |
+
"scope": "128 selected episodes, JSONL metadata/text only",
|
| 43 |
+
"stroke_dasharray": "9 6",
|
| 44 |
+
"covered_task_count": 8,
|
| 45 |
+
"coverage_fraction": 0.4
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"id": "metadata128_neural_mlp",
|
| 49 |
+
"label": "128ep Metadata NN",
|
| 50 |
+
"short_label": "128-NN",
|
| 51 |
+
"color": "#f472b6",
|
| 52 |
+
"kind": "partial_128_episode_metadata_baseline",
|
| 53 |
+
"scope": "128 selected episodes, JSONL metadata/text only",
|
| 54 |
+
"stroke_dasharray": "3 6",
|
| 55 |
+
"covered_task_count": 6,
|
| 56 |
+
"coverage_fraction": 0.3
|
| 57 |
+
},
|
| 58 |
{
|
| 59 |
"id": "qwen3_omni_v6_lora",
|
| 60 |
"label": "Qwen3-Omni v6 LoRA",
|
|
|
|
| 139 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 140 |
"normalized_score": 0.007936507936507936,
|
| 141 |
"raw_text": "0.0079"
|
| 142 |
+
},
|
| 143 |
+
"metadata128_simple": {
|
| 144 |
+
"raw": 0.008252821966746326,
|
| 145 |
+
"metric_key": "macro_f1",
|
| 146 |
+
"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/timeline_action/metrics.json",
|
| 147 |
+
"scope": "multi_episode_128_metadata_baseline",
|
| 148 |
+
"normalized_score": 0.008252821966746326,
|
| 149 |
+
"raw_text": "0.0083"
|
| 150 |
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},
|
| 151 |
+
"metadata128_neural_mlp": {
|
| 152 |
+
"raw": 0.004175793689174209,
|
| 153 |
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"metric_key": "macro_f1",
|
| 154 |
+
"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/timeline_action/metrics.json",
|
| 155 |
+
"scope": "multi_episode_128_metadata_baseline",
|
| 156 |
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"normalized_score": 0.004175793689174209,
|
| 157 |
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"raw_text": "0.0042"
|
| 158 |
}
|
| 159 |
}
|
| 160 |
},
|
|
|
|
| 199 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 200 |
"normalized_score": 0.0,
|
| 201 |
"raw_text": "0.0000"
|
| 202 |
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},
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| 203 |
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"metadata128_simple": {
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| 204 |
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"raw": 0.00019512195121951218,
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| 205 |
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"metric_key": "macro_f1",
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| 206 |
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"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/timeline_subtask/metrics.json",
|
| 207 |
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"scope": "multi_episode_128_metadata_baseline",
|
| 208 |
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"normalized_score": 0.00019512195121951218,
|
| 209 |
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"raw_text": "0.0002"
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| 210 |
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},
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| 211 |
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"metadata128_neural_mlp": {
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| 212 |
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"raw": 7.207207207207208e-05,
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| 213 |
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"metric_key": "macro_f1",
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| 214 |
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"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/timeline_subtask/metrics.json",
|
| 215 |
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"scope": "multi_episode_128_metadata_baseline",
|
| 216 |
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"normalized_score": 7.207207207207208e-05,
|
| 217 |
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"raw_text": "0.0001"
|
| 218 |
}
|
| 219 |
}
|
| 220 |
},
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|
|
|
| 267 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 268 |
"normalized_score": 0.9682539682539683,
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| 269 |
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| 270 |
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},
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| 271 |
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"metadata128_simple": {
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| 272 |
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"raw": 0.29652162550029315,
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| 273 |
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"metric_key": "macro_f1",
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| 274 |
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"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/transition_detection/metrics.json",
|
| 275 |
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"scope": "multi_episode_128_metadata_baseline",
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| 276 |
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"normalized_score": 0.29652162550029315,
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| 277 |
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"raw_text": "0.2965"
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},
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"metadata128_neural_mlp": {
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| 280 |
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"raw": 0.4841733292368365,
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| 281 |
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"metric_key": "macro_f1",
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| 282 |
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"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/transition_detection/metrics.json",
|
| 283 |
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"scope": "multi_episode_128_metadata_baseline",
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| 284 |
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| 285 |
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| 286 |
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| 287 |
}
|
| 288 |
},
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|
|
|
| 335 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 336 |
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|
| 337 |
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| 338 |
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},
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| 339 |
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"metadata128_simple": {
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| 340 |
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"raw": 0.006514774539765508,
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| 341 |
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"metric_key": "macro_f1",
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| 342 |
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"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/next_action/metrics.json",
|
| 343 |
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"scope": "multi_episode_128_metadata_baseline",
|
| 344 |
+
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| 345 |
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| 346 |
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},
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"metadata128_neural_mlp": {
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| 348 |
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"raw": 0.004910507980164745,
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| 349 |
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"metric_key": "macro_f1",
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| 350 |
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"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/next_action/metrics.json",
|
| 351 |
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"scope": "multi_episode_128_metadata_baseline",
|
| 352 |
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| 353 |
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|
| 354 |
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|
| 355 |
}
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| 356 |
},
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|
|
|
| 431 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 432 |
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|
| 433 |
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| 434 |
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},
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| 435 |
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"metadata128_simple": {
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"raw": 0.4381481308057444,
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"metric_key": "macro_f1",
|
| 438 |
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"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/contact_prediction/metrics.json",
|
| 439 |
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"scope": "multi_episode_128_metadata_baseline",
|
| 440 |
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| 441 |
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},
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| 444 |
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| 445 |
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"metric_key": "macro_f1",
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| 446 |
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"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/contact_prediction/metrics.json",
|
| 447 |
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"scope": "multi_episode_128_metadata_baseline",
|
| 448 |
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"normalized_score": 0.5682695682695682,
|
| 449 |
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| 450 |
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|
| 451 |
}
|
| 452 |
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|
|
|
| 491 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 492 |
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|
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|
| 494 |
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},
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| 495 |
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"metadata128_simple": {
|
| 496 |
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"raw": 0.17764578833693304,
|
| 497 |
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"metric_key": "micro_f1",
|
| 498 |
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"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/object_relevance/metrics.json",
|
| 499 |
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"scope": "multi_episode_128_metadata_baseline",
|
| 500 |
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|
| 501 |
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},
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|
| 505 |
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"metric_key": "micro_f1",
|
| 506 |
+
"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/object_relevance/metrics.json",
|
| 507 |
+
"scope": "multi_episode_128_metadata_baseline",
|
| 508 |
+
"normalized_score": 0.18662723837686876,
|
| 509 |
+
"raw_text": "0.1866"
|
| 510 |
}
|
| 511 |
}
|
| 512 |
},
|
|
|
|
| 535 |
"scope": "single_episode_public_sample",
|
| 536 |
"normalized_score": 0.01684125567132316,
|
| 537 |
"raw_text": "0.0168"
|
| 538 |
+
},
|
| 539 |
+
"metadata128_simple": {
|
| 540 |
+
"raw": 0.002332374220713973,
|
| 541 |
+
"metric_key": "mrr",
|
| 542 |
+
"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/caption_grounding/metrics.json",
|
| 543 |
+
"scope": "multi_episode_128_metadata_baseline",
|
| 544 |
+
"normalized_score": 0.002332374220713973,
|
| 545 |
+
"raw_text": "0.0023"
|
| 546 |
}
|
| 547 |
}
|
| 548 |
},
|
|
|
|
| 635 |
"scope": "single_episode_public_sample",
|
| 636 |
"normalized_score": 0.8520179372197308,
|
| 637 |
"raw_text": "0.8520"
|
| 638 |
+
},
|
| 639 |
+
"metadata128_simple": {
|
| 640 |
+
"raw": 0.4198864140782312,
|
| 641 |
+
"metric_key": "f1",
|
| 642 |
+
"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/temporal_order/metrics.json",
|
| 643 |
+
"scope": "multi_episode_128_metadata_baseline",
|
| 644 |
+
"normalized_score": 0.4198864140782312,
|
| 645 |
+
"raw_text": "0.4199"
|
| 646 |
}
|
| 647 |
}
|
| 648 |
},
|
|
|
|
| 900 |
}
|
| 901 |
],
|
| 902 |
"model_branch_cards": [
|
| 903 |
+
{
|
| 904 |
+
"id": "metadata128_simple",
|
| 905 |
+
"title": "128ep Metadata Simple",
|
| 906 |
+
"status": "a100_rerun_pass",
|
| 907 |
+
"coverage": "8/20 JSONL-supported axes",
|
| 908 |
+
"headline": "34,269 rows; train/val/test 25,629/4,608/4,032",
|
| 909 |
+
"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/summary_report.json"
|
| 910 |
+
},
|
| 911 |
+
{
|
| 912 |
+
"id": "metadata128_neural_mlp",
|
| 913 |
+
"title": "128ep Metadata NN",
|
| 914 |
+
"status": "a100_rerun_pass",
|
| 915 |
+
"coverage": "6/20 JSONL-supported axes",
|
| 916 |
+
"headline": "compact MLP heads over metadata/text features",
|
| 917 |
+
"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/summary_report.json"
|
| 918 |
+
},
|
| 919 |
{
|
| 920 |
"id": "qwen3_omni_v6_lora",
|
| 921 |
"title": "Qwen3-Omni v6 LoRA",
|
data/website_integrity.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"docs_root": "docs",
|
| 5 |
"site_base": "/ropedia-xperience-10m-task-suite/",
|
| 6 |
"summary": {
|
|
@@ -180,7 +180,7 @@
|
|
| 180 |
"status": "pass",
|
| 181 |
"reason": "The Suite anchor should show the task-suite map before the modality atlas.",
|
| 182 |
"first_marker_index": 471,
|
| 183 |
-
"second_marker_index":
|
| 184 |
},
|
| 185 |
{
|
| 186 |
"name": "suite_modality_atlas_contains_seven_cards",
|
|
@@ -301,7 +301,7 @@
|
|
| 301 |
},
|
| 302 |
{
|
| 303 |
"path": "data/artifact_index.json",
|
| 304 |
-
"bytes":
|
| 305 |
"top_level_type": "dict"
|
| 306 |
},
|
| 307 |
{
|
|
@@ -326,7 +326,7 @@
|
|
| 326 |
},
|
| 327 |
{
|
| 328 |
"path": "data/figure_index.json",
|
| 329 |
-
"bytes":
|
| 330 |
"top_level_type": "dict"
|
| 331 |
},
|
| 332 |
{
|
|
@@ -336,12 +336,12 @@
|
|
| 336 |
},
|
| 337 |
{
|
| 338 |
"path": "data/live_publication_status.json",
|
| 339 |
-
"bytes":
|
| 340 |
"top_level_type": "dict"
|
| 341 |
},
|
| 342 |
{
|
| 343 |
"path": "data/mirror_parity.json",
|
| 344 |
-
"bytes":
|
| 345 |
"top_level_type": "dict"
|
| 346 |
},
|
| 347 |
{
|
|
@@ -381,12 +381,12 @@
|
|
| 381 |
},
|
| 382 |
{
|
| 383 |
"path": "data/public_surface_qa.json",
|
| 384 |
-
"bytes":
|
| 385 |
"top_level_type": "dict"
|
| 386 |
},
|
| 387 |
{
|
| 388 |
"path": "data/publication_audit.json",
|
| 389 |
-
"bytes":
|
| 390 |
"top_level_type": "dict"
|
| 391 |
},
|
| 392 |
{
|
|
@@ -491,12 +491,12 @@
|
|
| 491 |
},
|
| 492 |
{
|
| 493 |
"path": "data/unified_task_model_radar.json",
|
| 494 |
-
"bytes":
|
| 495 |
"top_level_type": "dict"
|
| 496 |
},
|
| 497 |
{
|
| 498 |
"path": "data/website_integrity.json",
|
| 499 |
-
"bytes":
|
| 500 |
"top_level_type": "dict"
|
| 501 |
},
|
| 502 |
{
|
|
@@ -587,7 +587,7 @@
|
|
| 587 |
{
|
| 588 |
"path": "assets/charts/unified_task_model_radar.svg",
|
| 589 |
"exists": true,
|
| 590 |
-
"bytes":
|
| 591 |
"format": "SVG",
|
| 592 |
"has_viewbox": true
|
| 593 |
},
|
|
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
+
"generated_at_utc": "2026-06-16T06:36:48+00:00",
|
| 4 |
"docs_root": "docs",
|
| 5 |
"site_base": "/ropedia-xperience-10m-task-suite/",
|
| 6 |
"summary": {
|
|
|
|
| 180 |
"status": "pass",
|
| 181 |
"reason": "The Suite anchor should show the task-suite map before the modality atlas.",
|
| 182 |
"first_marker_index": 471,
|
| 183 |
+
"second_marker_index": 1726
|
| 184 |
},
|
| 185 |
{
|
| 186 |
"name": "suite_modality_atlas_contains_seven_cards",
|
|
|
|
| 301 |
},
|
| 302 |
{
|
| 303 |
"path": "data/artifact_index.json",
|
| 304 |
+
"bytes": 96011,
|
| 305 |
"top_level_type": "dict"
|
| 306 |
},
|
| 307 |
{
|
|
|
|
| 326 |
},
|
| 327 |
{
|
| 328 |
"path": "data/figure_index.json",
|
| 329 |
+
"bytes": 15726,
|
| 330 |
"top_level_type": "dict"
|
| 331 |
},
|
| 332 |
{
|
|
|
|
| 336 |
},
|
| 337 |
{
|
| 338 |
"path": "data/live_publication_status.json",
|
| 339 |
+
"bytes": 131863,
|
| 340 |
"top_level_type": "dict"
|
| 341 |
},
|
| 342 |
{
|
| 343 |
"path": "data/mirror_parity.json",
|
| 344 |
+
"bytes": 727544,
|
| 345 |
"top_level_type": "dict"
|
| 346 |
},
|
| 347 |
{
|
|
|
|
| 381 |
},
|
| 382 |
{
|
| 383 |
"path": "data/public_surface_qa.json",
|
| 384 |
+
"bytes": 5806,
|
| 385 |
"top_level_type": "dict"
|
| 386 |
},
|
| 387 |
{
|
| 388 |
"path": "data/publication_audit.json",
|
| 389 |
+
"bytes": 7883,
|
| 390 |
"top_level_type": "dict"
|
| 391 |
},
|
| 392 |
{
|
|
|
|
| 491 |
},
|
| 492 |
{
|
| 493 |
"path": "data/unified_task_model_radar.json",
|
| 494 |
+
"bytes": 38085,
|
| 495 |
"top_level_type": "dict"
|
| 496 |
},
|
| 497 |
{
|
| 498 |
"path": "data/website_integrity.json",
|
| 499 |
+
"bytes": 18100,
|
| 500 |
"top_level_type": "dict"
|
| 501 |
},
|
| 502 |
{
|
|
|
|
| 587 |
{
|
| 588 |
"path": "assets/charts/unified_task_model_radar.svg",
|
| 589 |
"exists": true,
|
| 590 |
+
"bytes": 30823,
|
| 591 |
"format": "SVG",
|
| 592 |
"has_viewbox": true
|
| 593 |
},
|
docs/data/artifact_index.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Task Suite Artifact Index",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"status": "pass",
|
| 5 |
-
"artifact_count":
|
| 6 |
"missing": [],
|
| 7 |
"by_kind": {
|
| 8 |
"project_path": 14,
|
|
@@ -16,6 +16,7 @@
|
|
| 16 |
"website_data": 6,
|
| 17 |
"generated_figure": 5,
|
| 18 |
"visualization_builder": 1,
|
|
|
|
| 19 |
"result_interpretation": 5,
|
| 20 |
"metrics_source": 27,
|
| 21 |
"visual_evidence": 7,
|
|
@@ -210,8 +211,8 @@
|
|
| 210 |
"surface": "repo_hf",
|
| 211 |
"shows": "Runs simple metadata and neural MLP baselines on the same selected 96/16/16 episode split used by the Qwen3-Omni diagnostic pilot.",
|
| 212 |
"exists": true,
|
| 213 |
-
"bytes":
|
| 214 |
-
"sha256": "
|
| 215 |
},
|
| 216 |
{
|
| 217 |
"id": "task_suite_enhancement_128",
|
|
@@ -464,7 +465,7 @@
|
|
| 464 |
"shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
|
| 465 |
"exists": true,
|
| 466 |
"bytes": 4432,
|
| 467 |
-
"sha256": "
|
| 468 |
},
|
| 469 |
{
|
| 470 |
"id": "source_alignment_validator",
|
|
@@ -563,7 +564,7 @@
|
|
| 563 |
"shows": "Machine-readable unified 20-task index for the website, Hugging Face mirrors, and live verification.",
|
| 564 |
"exists": true,
|
| 565 |
"bytes": 34648,
|
| 566 |
-
"sha256": "
|
| 567 |
},
|
| 568 |
{
|
| 569 |
"id": "task_suite_20_builder",
|
|
@@ -584,8 +585,8 @@
|
|
| 584 |
"surface": "website_hf",
|
| 585 |
"shows": "Stores normalized 20-axis radar values, raw task metrics, Qwen3/Cosmos overlay mappings, and branch-card caveats.",
|
| 586 |
"exists": true,
|
| 587 |
-
"bytes":
|
| 588 |
-
"sha256": "
|
| 589 |
},
|
| 590 |
{
|
| 591 |
"id": "unified_task_model_radar_chart",
|
|
@@ -595,8 +596,8 @@
|
|
| 595 |
"surface": "website_hf",
|
| 596 |
"shows": "Compares minimal and neural MLP baselines across all 20 tasks, with Qwen3/Cosmos task-aligned model overlays.",
|
| 597 |
"exists": true,
|
| 598 |
-
"bytes":
|
| 599 |
-
"sha256": "
|
| 600 |
},
|
| 601 |
{
|
| 602 |
"id": "unified_task_model_radar_builder",
|
|
@@ -606,8 +607,19 @@
|
|
| 606 |
"surface": "repo_hf",
|
| 607 |
"shows": "Regenerates the direction-aware radar chart and machine-readable metric overlay JSON.",
|
| 608 |
"exists": true,
|
| 609 |
-
"bytes":
|
| 610 |
-
"sha256": "
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 611 |
},
|
| 612 |
{
|
| 613 |
"id": "research_takeaways",
|
|
@@ -705,8 +717,8 @@
|
|
| 705 |
"surface": "repo_hf",
|
| 706 |
"shows": "Catalogs public figures, charts, modality thumbnails, dimensions, hashes, roles, and source scripts.",
|
| 707 |
"exists": true,
|
| 708 |
-
"bytes":
|
| 709 |
-
"sha256": "
|
| 710 |
},
|
| 711 |
{
|
| 712 |
"id": "figure_index_json",
|
|
@@ -716,8 +728,8 @@
|
|
| 716 |
"surface": "website_hf",
|
| 717 |
"shows": "Machine-readable visual asset index for website and Hugging Face mirrors.",
|
| 718 |
"exists": true,
|
| 719 |
-
"bytes":
|
| 720 |
-
"sha256": "
|
| 721 |
},
|
| 722 |
{
|
| 723 |
"id": "figure_index_builder",
|
|
@@ -727,8 +739,8 @@
|
|
| 727 |
"surface": "repo_hf",
|
| 728 |
"shows": "Regenerates visual-asset hashes, dimensions, and source-script provenance.",
|
| 729 |
"exists": true,
|
| 730 |
-
"bytes":
|
| 731 |
-
"sha256": "
|
| 732 |
},
|
| 733 |
{
|
| 734 |
"id": "brand_assets_json",
|
|
@@ -794,7 +806,7 @@
|
|
| 794 |
"shows": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
|
| 795 |
"exists": true,
|
| 796 |
"bytes": 8100,
|
| 797 |
-
"sha256": "
|
| 798 |
},
|
| 799 |
{
|
| 800 |
"id": "public_surface_qa",
|
|
@@ -805,7 +817,7 @@
|
|
| 805 |
"shows": "Keeps the repo, website, and Hugging Face cards aligned as one cohesive research project surface.",
|
| 806 |
"exists": true,
|
| 807 |
"bytes": 1939,
|
| 808 |
-
"sha256": "
|
| 809 |
},
|
| 810 |
{
|
| 811 |
"id": "public_surface_qa_json",
|
|
@@ -816,7 +828,7 @@
|
|
| 816 |
"volatile": true,
|
| 817 |
"shows": "Machine-readable report for SEO/social metadata, accessible tab semantics, public links, project links, and clear project presentation.",
|
| 818 |
"exists": true,
|
| 819 |
-
"bytes":
|
| 820 |
"hash_policy": "existence_and_size_only"
|
| 821 |
},
|
| 822 |
{
|
|
@@ -897,7 +909,7 @@
|
|
| 897 |
"volatile": true,
|
| 898 |
"shows": "Records the last live GitHub/HF URL verification after upload.",
|
| 899 |
"exists": true,
|
| 900 |
-
"bytes":
|
| 901 |
"hash_policy": "existence_and_size_only"
|
| 902 |
},
|
| 903 |
{
|
|
@@ -941,8 +953,8 @@
|
|
| 941 |
"surface": "repo_hf",
|
| 942 |
"shows": "Generates the selective artifact catalog from local files.",
|
| 943 |
"exists": true,
|
| 944 |
-
"bytes":
|
| 945 |
-
"sha256": "
|
| 946 |
},
|
| 947 |
{
|
| 948 |
"id": "publication_audit",
|
|
@@ -953,7 +965,7 @@
|
|
| 953 |
"volatile": true,
|
| 954 |
"shows": "Confirms public bundles exclude raw data, caches, heavy archives, and credential text.",
|
| 955 |
"exists": true,
|
| 956 |
-
"bytes":
|
| 957 |
"hash_policy": "existence_and_size_only"
|
| 958 |
},
|
| 959 |
{
|
|
@@ -977,7 +989,7 @@
|
|
| 977 |
"volatile": true,
|
| 978 |
"shows": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
|
| 979 |
"exists": true,
|
| 980 |
-
"bytes":
|
| 981 |
"hash_policy": "existence_and_size_only"
|
| 982 |
},
|
| 983 |
{
|
|
@@ -989,7 +1001,7 @@
|
|
| 989 |
"volatile": true,
|
| 990 |
"shows": "Confirms local website links, anchors, JSON data files, and referenced images resolve.",
|
| 991 |
"exists": true,
|
| 992 |
-
"bytes":
|
| 993 |
"hash_policy": "existence_and_size_only"
|
| 994 |
},
|
| 995 |
{
|
|
@@ -1100,7 +1112,7 @@
|
|
| 1100 |
"shows": "Stores the historical result bundle for unified tasks 13-20 with minimal and neural baselines aligned to the same 20-task window/split setup.",
|
| 1101 |
"exists": true,
|
| 1102 |
"bytes": 33402,
|
| 1103 |
-
"sha256": "
|
| 1104 |
},
|
| 1105 |
{
|
| 1106 |
"id": "tier2_task_suite_json",
|
|
@@ -1111,7 +1123,7 @@
|
|
| 1111 |
"shows": "Machine-readable tasks 13-20 definitions, setup alignment, metrics, and public source paths; the file name is historical.",
|
| 1112 |
"exists": true,
|
| 1113 |
"bytes": 33402,
|
| 1114 |
-
"sha256": "
|
| 1115 |
},
|
| 1116 |
{
|
| 1117 |
"id": "tier2_task_suite_chart",
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Task Suite Artifact Index",
|
| 3 |
+
"generated_at_utc": "2026-06-16T06:28:50+00:00",
|
| 4 |
"status": "pass",
|
| 5 |
+
"artifact_count": 176,
|
| 6 |
"missing": [],
|
| 7 |
"by_kind": {
|
| 8 |
"project_path": 14,
|
|
|
|
| 16 |
"website_data": 6,
|
| 17 |
"generated_figure": 5,
|
| 18 |
"visualization_builder": 1,
|
| 19 |
+
"model_result": 1,
|
| 20 |
"result_interpretation": 5,
|
| 21 |
"metrics_source": 27,
|
| 22 |
"visual_evidence": 7,
|
|
|
|
| 211 |
"surface": "repo_hf",
|
| 212 |
"shows": "Runs simple metadata and neural MLP baselines on the same selected 96/16/16 episode split used by the Qwen3-Omni diagnostic pilot.",
|
| 213 |
"exists": true,
|
| 214 |
+
"bytes": 49299,
|
| 215 |
+
"sha256": "9c1d998792f1082db5f4f190f1c1662bc957450f6f32506b4cc3cbdb99323554"
|
| 216 |
},
|
| 217 |
{
|
| 218 |
"id": "task_suite_enhancement_128",
|
|
|
|
| 465 |
"shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
|
| 466 |
"exists": true,
|
| 467 |
"bytes": 4432,
|
| 468 |
+
"sha256": "07798a6609929512ae6f9368dc2626b0a854b828682b8d0dfa0323698eb0f5bf"
|
| 469 |
},
|
| 470 |
{
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| 471 |
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},
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{
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+
"title": "128-episode metadata task baselines",
|
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+
"path": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/summary_report.json",
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| 617 |
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{
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| 717 |
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{
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| 724 |
"id": "figure_index_json",
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|
| 728 |
"surface": "website_hf",
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| 729 |
"shows": "Machine-readable visual asset index for website and Hugging Face mirrors.",
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| 730 |
"exists": true,
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{
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| 735 |
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| 739 |
"surface": "repo_hf",
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},
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{
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|
| 806 |
"shows": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
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"bytes": 8100,
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},
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| 811 |
{
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"id": "public_surface_qa",
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|
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|
| 817 |
"shows": "Keeps the repo, website, and Hugging Face cards aligned as one cohesive research project surface.",
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"exists": true,
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| 819 |
"bytes": 1939,
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},
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{
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| 823 |
"id": "public_surface_qa_json",
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| 828 |
"volatile": true,
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| 830 |
"exists": true,
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"bytes": 5882,
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{
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| 909 |
"volatile": true,
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| 910 |
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| 911 |
"exists": true,
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+
"bytes": 131863,
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| 913 |
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| 914 |
},
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| 915 |
{
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| 953 |
"surface": "repo_hf",
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| 954 |
"shows": "Generates the selective artifact catalog from local files.",
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| 955 |
"exists": true,
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"bytes": 48219,
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| 957 |
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|
| 958 |
},
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| 959 |
{
|
| 960 |
"id": "publication_audit",
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|
|
| 965 |
"volatile": true,
|
| 966 |
"shows": "Confirms public bundles exclude raw data, caches, heavy archives, and credential text.",
|
| 967 |
"exists": true,
|
| 968 |
+
"bytes": 7881,
|
| 969 |
"hash_policy": "existence_and_size_only"
|
| 970 |
},
|
| 971 |
{
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|
|
|
| 989 |
"volatile": true,
|
| 990 |
"shows": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
|
| 991 |
"exists": true,
|
| 992 |
+
"bytes": 635505,
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| 993 |
"hash_policy": "existence_and_size_only"
|
| 994 |
},
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| 995 |
{
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|
| 1001 |
"volatile": true,
|
| 1002 |
"shows": "Confirms local website links, anchors, JSON data files, and referenced images resolve.",
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| 1003 |
"exists": true,
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+
"bytes": 18100,
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| 1005 |
"hash_policy": "existence_and_size_only"
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| 1006 |
},
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| 1007 |
{
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| 1112 |
"shows": "Stores the historical result bundle for unified tasks 13-20 with minimal and neural baselines aligned to the same 20-task window/split setup.",
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"exists": true,
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| 1114 |
"bytes": 33402,
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"sha256": "5a1051d25ceafe53c60dbd5b81d4b686a421c493ad09a462ad96bac100c5f3f3"
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},
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{
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"id": "tier2_task_suite_json",
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| 1123 |
"shows": "Machine-readable tasks 13-20 definitions, setup alignment, metrics, and public source paths; the file name is historical.",
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"exists": true,
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"bytes": 33402,
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"sha256": "5a1051d25ceafe53c60dbd5b81d4b686a421c493ad09a462ad96bac100c5f3f3"
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},
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{
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"id": "tier2_task_suite_chart",
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docs/data/figure_index.json
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|
@@ -1,7 +1,7 @@
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| 1 |
{
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| 2 |
"title": "Ropedia Xperience-10M Figure Index",
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"status": "pass",
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"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": 24,
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"figures": [
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|
@@ -355,17 +355,17 @@
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"id": "unified_task_model_radar",
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"title": "Unified 20-task model radar",
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"path": "docs/assets/charts/unified_task_model_radar.svg",
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| 358 |
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"role": "Twenty-axis direction-aware comparison of minimal and neural MLP baselines, with Qwen3
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| 359 |
"source_script": "scripts/build_unified_task_model_radar.py",
|
| 360 |
"surface": "website unified task section, README, HF mirrors",
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| 361 |
"exists": true,
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"bytes":
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"sha256": "
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"format": "SVG",
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"height":
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"view_box": "0 0 1720
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},
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{
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"title": "Ropedia Xperience-10M Figure Index",
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"status": "pass",
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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": 24,
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|
| 355 |
"id": "unified_task_model_radar",
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| 356 |
"title": "Unified 20-task model radar",
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| 357 |
"path": "docs/assets/charts/unified_task_model_radar.svg",
|
| 358 |
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"role": "Twenty-axis direction-aware comparison of minimal and neural MLP baselines, with 128-episode metadata, Qwen3, and Cosmos task-aligned overlay points and branch notes.",
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| 359 |
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| 360 |
"surface": "website unified task section, README, HF mirrors",
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| 361 |
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"bytes": 30823,
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"format": "SVG",
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"width": 1720,
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"height": 1360,
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"view_box": "0 0 1720 1360"
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docs/data/mirror_parity.json
CHANGED
|
The diff for this file is too large to render.
See raw diff
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docs/data/public_surface_qa.json
CHANGED
|
@@ -1,7 +1,7 @@
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{
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"title": "Ropedia Xperience-10M Public Project Surface",
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"status": "pass",
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"generated_at_utc": "2026-06-
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"scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
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{
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@@ -18,7 +18,7 @@
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| 18 |
"website_integrity": {
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"exists": true,
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| 20 |
"status": "pass",
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-
"generated_at_utc": "2026-06-
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},
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@@ -28,27 +28,27 @@
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"exists": true,
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"status": "pass",
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-
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| 32 |
},
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"source_alignment": {
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"exists": true,
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"status": "pass",
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},
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"status": "pass",
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},
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"generated_at_utc": "2026-06-
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},
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"exists": true,
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"status": "pass",
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}
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},
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"failures": {}
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{
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"title": "Ropedia Xperience-10M Public Project Surface",
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"status": "pass",
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"scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
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| 6 |
"checks": [
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| 7 |
{
|
|
|
|
| 18 |
"website_integrity": {
|
| 19 |
"exists": true,
|
| 20 |
"status": "pass",
|
| 21 |
+
"generated_at_utc": "2026-06-16T06:32:53+00:00"
|
| 22 |
},
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| 23 |
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"exists": true,
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"task_surface_integrity": {
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"exists": true,
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"status": "pass",
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|
| 32 |
},
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"source_alignment": {
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"exists": true,
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| 35 |
"status": "pass",
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"generated_at_utc": "2026-06-16T06:32:52+00:00"
|
| 37 |
},
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"scale_up_status": {
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| 39 |
"exists": true,
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| 40 |
"status": "pass",
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| 41 |
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"generated_at_utc": "2026-06-16T06:33:02+00:00"
|
| 42 |
},
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| 43 |
"publication_package": {
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| 44 |
"exists": true,
|
| 45 |
"status": "pass",
|
| 46 |
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|
| 47 |
},
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| 48 |
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|
| 49 |
"exists": true,
|
| 50 |
"status": "pass",
|
| 51 |
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"generated_at_utc": "2026-06-16T06:33:38+00:00"
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}
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| 53 |
},
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docs/data/publication_audit.json
CHANGED
|
@@ -1,6 +1,6 @@
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| 1 |
{
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| 2 |
"status": "pass",
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"generated_at_utc": "2026-06-
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| 4 |
"checks": [
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| 5 |
{
|
| 6 |
"name": "required_publication_assets_present",
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|
@@ -193,8 +193,8 @@
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|
| 193 |
"github_repo": {
|
| 194 |
"root": "repo",
|
| 195 |
"exists": true,
|
| 196 |
-
"file_count":
|
| 197 |
-
"text_file_count":
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| 198 |
"largest_file": {
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| 199 |
"path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
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"bytes": 55702978
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|
@@ -204,8 +204,8 @@
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|
| 204 |
"hf_space_bundle": {
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| 205 |
"root": "hf_publish/space",
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| 206 |
"exists": true,
|
| 207 |
-
"file_count":
|
| 208 |
-
"text_file_count":
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| 209 |
"largest_file": {
|
| 210 |
"path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
|
| 211 |
"bytes": 55702978
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|
@@ -215,8 +215,8 @@
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|
| 215 |
"hf_artifact_bundle": {
|
| 216 |
"root": "hf_publish/artifacts",
|
| 217 |
"exists": true,
|
| 218 |
-
"file_count":
|
| 219 |
-
"text_file_count":
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| 220 |
"largest_file": {
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| 221 |
"path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
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| 222 |
"bytes": 55702978
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|
@@ -226,8 +226,8 @@
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|
| 226 |
"hf_model_bundle": {
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| 227 |
"root": "hf_publish/model",
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| 228 |
"exists": true,
|
| 229 |
-
"file_count":
|
| 230 |
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"text_file_count":
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| 231 |
"largest_file": {
|
| 232 |
"path": "pytorch_model.bin",
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| 233 |
"bytes": 93495480
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|
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
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"generated_at_utc": "2026-06-16T06:38:03+00:00",
|
| 4 |
"checks": [
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| 5 |
{
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| 6 |
"name": "required_publication_assets_present",
|
|
|
|
| 193 |
"github_repo": {
|
| 194 |
"root": "repo",
|
| 195 |
"exists": true,
|
| 196 |
+
"file_count": 1040,
|
| 197 |
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|
| 198 |
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| 199 |
"path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
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| 200 |
"bytes": 55702978
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|
|
|
| 204 |
"hf_space_bundle": {
|
| 205 |
"root": "hf_publish/space",
|
| 206 |
"exists": true,
|
| 207 |
+
"file_count": 824,
|
| 208 |
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"text_file_count": 678,
|
| 209 |
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|
| 210 |
"path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
|
| 211 |
"bytes": 55702978
|
|
|
|
| 215 |
"hf_artifact_bundle": {
|
| 216 |
"root": "hf_publish/artifacts",
|
| 217 |
"exists": true,
|
| 218 |
+
"file_count": 1951,
|
| 219 |
+
"text_file_count": 857,
|
| 220 |
"largest_file": {
|
| 221 |
"path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
|
| 222 |
"bytes": 55702978
|
|
|
|
| 226 |
"hf_model_bundle": {
|
| 227 |
"root": "hf_publish/model",
|
| 228 |
"exists": true,
|
| 229 |
+
"file_count": 2374,
|
| 230 |
+
"text_file_count": 1015,
|
| 231 |
"largest_file": {
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| 232 |
"path": "pytorch_model.bin",
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| 233 |
"bytes": 93495480
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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 |
-
"generated_at_utc": "2026-06-
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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 |
"automated_gates": [
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| 7 |
{
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|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Release Checks",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-16T06:36:08+00:00",
|
| 5 |
"rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
|
| 6 |
"automated_gates": [
|
| 7 |
{
|
docs/data/scope_claims_audit.json
CHANGED
|
@@ -1,6 +1,6 @@
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|
| 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,
|
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| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
+
"generated_at_utc": "2026-06-16T06:36:49+00:00",
|
| 4 |
"summary": {
|
| 5 |
"qwen3_omni_verified_diagnostic_pilot": true,
|
| 6 |
"dataset_manifest_num_episodes": 119,
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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",
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| 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",
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|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Source Alignment Note",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-16T06:36:43+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_suite_20.json
CHANGED
|
@@ -1,7 +1,7 @@
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|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Unified 20-Task Suite",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"task_count": 20,
|
| 6 |
"task_count_breakdown": {
|
| 7 |
"original_public_sample_tasks": 12,
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| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Unified 20-Task Suite",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-16T06:26:17+00:00",
|
| 5 |
"task_count": 20,
|
| 6 |
"task_count_breakdown": {
|
| 7 |
"original_public_sample_tasks": 12,
|
docs/data/task_surface_integrity.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"summary": {
|
| 5 |
"task_count": 12,
|
| 6 |
"expected_task_count": 12,
|
|
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
+
"generated_at_utc": "2026-06-16T06:36:43+00:00",
|
| 4 |
"summary": {
|
| 5 |
"task_count": 12,
|
| 6 |
"expected_task_count": 12,
|
docs/data/tier2_task_suite.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Unified Tasks 13-20 Result Bundle",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"suite_position": "tasks_13_to_20",
|
| 6 |
"legacy_path_note": "The tier2_task_suite file and directory names are retained for stable public links; these tasks are part of the unified 20-task suite, not a separate public tier.",
|
| 7 |
"integrated_with_tasks_1_to_12": {
|
|
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|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Unified Tasks 13-20 Result Bundle",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-16T06:25:58+00:00",
|
| 5 |
"suite_position": "tasks_13_to_20",
|
| 6 |
"legacy_path_note": "The tier2_task_suite file and directory names are retained for stable public links; these tasks are part of the unified 20-task suite, not a separate public tier.",
|
| 7 |
"integrated_with_tasks_1_to_12": {
|
docs/data/unified_task_model_radar.json
CHANGED
|
@@ -1,13 +1,14 @@
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|
| 1 |
{
|
| 2 |
"title": "Unified 20-Task Model Radar",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"task_count": 20,
|
| 6 |
"normalization_policy": {
|
| 7 |
"higher_is_better": "bounded metrics are plotted directly on 0-1 axes after clipping to [0, 1]",
|
| 8 |
"lower_is_better": "lower-error metrics are converted to best_observed_value / raw_value within the same task",
|
| 9 |
"raw_values": "raw metric values, metric keys, and sources are retained in this JSON; the SVG is an overview, not a replacement for the metric table",
|
| 10 |
-
"foundation_model_overlay": "Qwen3/Cosmos points are plotted only on task-aligned axes. Missing axes mean the public result does not evaluate that task contract."
|
|
|
|
| 11 |
},
|
| 12 |
"series": [
|
| 13 |
{
|
|
@@ -32,6 +33,28 @@
|
|
| 32 |
"covered_task_count": 20,
|
| 33 |
"coverage_fraction": 1.0
|
| 34 |
},
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|
| 35 |
{
|
| 36 |
"id": "qwen3_omni_v6_lora",
|
| 37 |
"label": "Qwen3-Omni v6 LoRA",
|
|
@@ -116,6 +139,22 @@
|
|
| 116 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 117 |
"normalized_score": 0.007936507936507936,
|
| 118 |
"raw_text": "0.0079"
|
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| 119 |
}
|
| 120 |
}
|
| 121 |
},
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|
@@ -160,6 +199,22 @@
|
|
| 160 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 161 |
"normalized_score": 0.0,
|
| 162 |
"raw_text": "0.0000"
|
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|
| 163 |
}
|
| 164 |
}
|
| 165 |
},
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|
@@ -212,6 +267,22 @@
|
|
| 212 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 213 |
"normalized_score": 0.9682539682539683,
|
| 214 |
"raw_text": "0.9683"
|
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|
| 215 |
}
|
| 216 |
}
|
| 217 |
},
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|
@@ -264,6 +335,22 @@
|
|
| 264 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 265 |
"normalized_score": 0.007936507936507936,
|
| 266 |
"raw_text": "0.0079"
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| 267 |
}
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}
|
| 269 |
},
|
|
@@ -344,6 +431,22 @@
|
|
| 344 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 345 |
"normalized_score": 0.7433862433862434,
|
| 346 |
"raw_text": "0.7434"
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| 347 |
}
|
| 348 |
}
|
| 349 |
},
|
|
@@ -388,6 +491,22 @@
|
|
| 388 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 389 |
"normalized_score": 0.13704276146316333,
|
| 390 |
"raw_text": "0.1370"
|
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|
| 391 |
}
|
| 392 |
}
|
| 393 |
},
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|
@@ -416,6 +535,14 @@
|
|
| 416 |
"scope": "single_episode_public_sample",
|
| 417 |
"normalized_score": 0.01684125567132316,
|
| 418 |
"raw_text": "0.0168"
|
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| 419 |
}
|
| 420 |
}
|
| 421 |
},
|
|
@@ -508,6 +635,14 @@
|
|
| 508 |
"scope": "single_episode_public_sample",
|
| 509 |
"normalized_score": 0.8520179372197308,
|
| 510 |
"raw_text": "0.8520"
|
|
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|
| 511 |
}
|
| 512 |
}
|
| 513 |
},
|
|
@@ -765,6 +900,22 @@
|
|
| 765 |
}
|
| 766 |
],
|
| 767 |
"model_branch_cards": [
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|
| 768 |
{
|
| 769 |
"id": "qwen3_omni_v6_lora",
|
| 770 |
"title": "Qwen3-Omni v6 LoRA",
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Unified 20-Task Model Radar",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-16T06:32:05+00:00",
|
| 5 |
"task_count": 20,
|
| 6 |
"normalization_policy": {
|
| 7 |
"higher_is_better": "bounded metrics are plotted directly on 0-1 axes after clipping to [0, 1]",
|
| 8 |
"lower_is_better": "lower-error metrics are converted to best_observed_value / raw_value within the same task",
|
| 9 |
"raw_values": "raw metric values, metric keys, and sources are retained in this JSON; the SVG is an overview, not a replacement for the metric table",
|
| 10 |
+
"foundation_model_overlay": "Qwen3/Cosmos points are plotted only on task-aligned axes. Missing axes mean the public result does not evaluate that task contract.",
|
| 11 |
+
"metadata_128_overlay": "128-episode metadata baselines are plotted only where the public JSONL contains enough task labels without raw feature blocks."
|
| 12 |
},
|
| 13 |
"series": [
|
| 14 |
{
|
|
|
|
| 33 |
"covered_task_count": 20,
|
| 34 |
"coverage_fraction": 1.0
|
| 35 |
},
|
| 36 |
+
{
|
| 37 |
+
"id": "metadata128_simple",
|
| 38 |
+
"label": "128ep Metadata Simple",
|
| 39 |
+
"short_label": "128-S",
|
| 40 |
+
"color": "#ffd166",
|
| 41 |
+
"kind": "partial_128_episode_metadata_baseline",
|
| 42 |
+
"scope": "128 selected episodes, JSONL metadata/text only",
|
| 43 |
+
"stroke_dasharray": "9 6",
|
| 44 |
+
"covered_task_count": 8,
|
| 45 |
+
"coverage_fraction": 0.4
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"id": "metadata128_neural_mlp",
|
| 49 |
+
"label": "128ep Metadata NN",
|
| 50 |
+
"short_label": "128-NN",
|
| 51 |
+
"color": "#f472b6",
|
| 52 |
+
"kind": "partial_128_episode_metadata_baseline",
|
| 53 |
+
"scope": "128 selected episodes, JSONL metadata/text only",
|
| 54 |
+
"stroke_dasharray": "3 6",
|
| 55 |
+
"covered_task_count": 6,
|
| 56 |
+
"coverage_fraction": 0.3
|
| 57 |
+
},
|
| 58 |
{
|
| 59 |
"id": "qwen3_omni_v6_lora",
|
| 60 |
"label": "Qwen3-Omni v6 LoRA",
|
|
|
|
| 139 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 140 |
"normalized_score": 0.007936507936507936,
|
| 141 |
"raw_text": "0.0079"
|
| 142 |
+
},
|
| 143 |
+
"metadata128_simple": {
|
| 144 |
+
"raw": 0.008252821966746326,
|
| 145 |
+
"metric_key": "macro_f1",
|
| 146 |
+
"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/timeline_action/metrics.json",
|
| 147 |
+
"scope": "multi_episode_128_metadata_baseline",
|
| 148 |
+
"normalized_score": 0.008252821966746326,
|
| 149 |
+
"raw_text": "0.0083"
|
| 150 |
+
},
|
| 151 |
+
"metadata128_neural_mlp": {
|
| 152 |
+
"raw": 0.004175793689174209,
|
| 153 |
+
"metric_key": "macro_f1",
|
| 154 |
+
"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/timeline_action/metrics.json",
|
| 155 |
+
"scope": "multi_episode_128_metadata_baseline",
|
| 156 |
+
"normalized_score": 0.004175793689174209,
|
| 157 |
+
"raw_text": "0.0042"
|
| 158 |
}
|
| 159 |
}
|
| 160 |
},
|
|
|
|
| 199 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 200 |
"normalized_score": 0.0,
|
| 201 |
"raw_text": "0.0000"
|
| 202 |
+
},
|
| 203 |
+
"metadata128_simple": {
|
| 204 |
+
"raw": 0.00019512195121951218,
|
| 205 |
+
"metric_key": "macro_f1",
|
| 206 |
+
"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/timeline_subtask/metrics.json",
|
| 207 |
+
"scope": "multi_episode_128_metadata_baseline",
|
| 208 |
+
"normalized_score": 0.00019512195121951218,
|
| 209 |
+
"raw_text": "0.0002"
|
| 210 |
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},
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| 211 |
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"metadata128_neural_mlp": {
|
| 212 |
+
"raw": 7.207207207207208e-05,
|
| 213 |
+
"metric_key": "macro_f1",
|
| 214 |
+
"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/timeline_subtask/metrics.json",
|
| 215 |
+
"scope": "multi_episode_128_metadata_baseline",
|
| 216 |
+
"normalized_score": 7.207207207207208e-05,
|
| 217 |
+
"raw_text": "0.0001"
|
| 218 |
}
|
| 219 |
}
|
| 220 |
},
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|
|
|
| 267 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 268 |
"normalized_score": 0.9682539682539683,
|
| 269 |
"raw_text": "0.9683"
|
| 270 |
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},
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| 271 |
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"metadata128_simple": {
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| 272 |
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"raw": 0.29652162550029315,
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| 273 |
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"metric_key": "macro_f1",
|
| 274 |
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"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/transition_detection/metrics.json",
|
| 275 |
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"scope": "multi_episode_128_metadata_baseline",
|
| 276 |
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"normalized_score": 0.29652162550029315,
|
| 277 |
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"raw_text": "0.2965"
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| 278 |
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},
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| 279 |
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"metadata128_neural_mlp": {
|
| 280 |
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"raw": 0.4841733292368365,
|
| 281 |
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"metric_key": "macro_f1",
|
| 282 |
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"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/transition_detection/metrics.json",
|
| 283 |
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"scope": "multi_episode_128_metadata_baseline",
|
| 284 |
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"normalized_score": 0.4841733292368365,
|
| 285 |
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"raw_text": "0.4842"
|
| 286 |
}
|
| 287 |
}
|
| 288 |
},
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|
|
|
| 335 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 336 |
"normalized_score": 0.007936507936507936,
|
| 337 |
"raw_text": "0.0079"
|
| 338 |
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},
|
| 339 |
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"metadata128_simple": {
|
| 340 |
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"raw": 0.006514774539765508,
|
| 341 |
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"metric_key": "macro_f1",
|
| 342 |
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"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/next_action/metrics.json",
|
| 343 |
+
"scope": "multi_episode_128_metadata_baseline",
|
| 344 |
+
"normalized_score": 0.006514774539765508,
|
| 345 |
+
"raw_text": "0.0065"
|
| 346 |
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},
|
| 347 |
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"metadata128_neural_mlp": {
|
| 348 |
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"raw": 0.004910507980164745,
|
| 349 |
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"metric_key": "macro_f1",
|
| 350 |
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"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/next_action/metrics.json",
|
| 351 |
+
"scope": "multi_episode_128_metadata_baseline",
|
| 352 |
+
"normalized_score": 0.004910507980164745,
|
| 353 |
+
"raw_text": "0.0049"
|
| 354 |
}
|
| 355 |
}
|
| 356 |
},
|
|
|
|
| 431 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 432 |
"normalized_score": 0.7433862433862434,
|
| 433 |
"raw_text": "0.7434"
|
| 434 |
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},
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<p>The radar uses all 20 tasks as axes. Minimal and neural MLP heads are filled polygons because both cover the full suite; 128-episode metadata, Qwen3, and Cosmos branches are colored overlays only on task-aligned public metrics.</p>
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<img class="chart" src="assets/charts/unified_task_model_radar.svg?v=xperience10m-20task-radar-v2" alt="Unified 20-task radar comparing minimal and neural MLP baselines with 128-episode metadata, Qwen3, and Cosmos3 task-aligned overlays">
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| 3194 |
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<p>The radar uses all 20 tasks as axes. Minimal and neural MLP heads are filled polygons because both cover the full suite; 128-episode metadata, Qwen3, and Cosmos branches are colored overlays only on task-aligned public metrics.</p>
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| 3199 |
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| 3200 |
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<img class="chart" src="assets/charts/unified_task_model_radar.svg?v=xperience10m-20task-radar-v2" alt="Unified 20-task radar comparing minimal and neural MLP baselines with 128-episode metadata, Qwen3, and Cosmos3 task-aligned overlays">
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@@ -1,8 +1,8 @@
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{
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@@ -16,6 +16,7 @@
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|
@@ -210,8 +211,8 @@
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| 210 |
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|
| 211 |
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| 212 |
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@@ -464,7 +465,7 @@
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| 464 |
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@@ -563,7 +564,7 @@
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| 563 |
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| 564 |
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| 569 |
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@@ -584,8 +585,8 @@
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| 584 |
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| 585 |
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@@ -595,8 +596,8 @@
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| 595 |
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| 596 |
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| 602 |
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@@ -606,8 +607,19 @@
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| 606 |
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| 607 |
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|
| 608 |
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|
| 611 |
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| 612 |
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| 613 |
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|
@@ -705,8 +717,8 @@
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|
| 705 |
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| 706 |
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| 707 |
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| 711 |
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| 712 |
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@@ -716,8 +728,8 @@
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|
| 716 |
"surface": "website_hf",
|
| 717 |
"shows": "Machine-readable visual asset index for website and Hugging Face mirrors.",
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| 718 |
"exists": true,
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| 719 |
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"bytes":
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| 720 |
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| 721 |
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| 722 |
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| 723 |
"id": "figure_index_builder",
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@@ -727,8 +739,8 @@
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| 727 |
"surface": "repo_hf",
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| 728 |
"shows": "Regenerates visual-asset hashes, dimensions, and source-script provenance.",
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| 729 |
"exists": true,
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| 730 |
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"bytes":
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| 731 |
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| 732 |
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| 733 |
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| 734 |
"id": "brand_assets_json",
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@@ -794,7 +806,7 @@
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| 794 |
"shows": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
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| 795 |
"exists": true,
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| 796 |
"bytes": 8100,
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| 798 |
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| 799 |
{
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| 800 |
"id": "public_surface_qa",
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@@ -805,7 +817,7 @@
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| 805 |
"shows": "Keeps the repo, website, and Hugging Face cards aligned as one cohesive research project surface.",
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| 806 |
"exists": true,
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"bytes": 1939,
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| 810 |
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| 811 |
"id": "public_surface_qa_json",
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@@ -816,7 +828,7 @@
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| 816 |
"volatile": true,
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| 817 |
"shows": "Machine-readable report for SEO/social metadata, accessible tab semantics, public links, project links, and clear project presentation.",
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| 818 |
"exists": true,
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"bytes":
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"hash_policy": "existence_and_size_only"
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| 821 |
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| 822 |
{
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@@ -897,7 +909,7 @@
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|
| 897 |
"volatile": true,
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| 898 |
"shows": "Records the last live GitHub/HF URL verification after upload.",
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| 899 |
"exists": true,
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"hash_policy": "existence_and_size_only"
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@@ -941,8 +953,8 @@
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| 941 |
"surface": "repo_hf",
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"shows": "Generates the selective artifact catalog from local files.",
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| 943 |
"exists": true,
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"bytes":
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"sha256": "
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{
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| 948 |
"id": "publication_audit",
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|
@@ -953,7 +965,7 @@
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|
| 953 |
"volatile": true,
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| 954 |
"shows": "Confirms public bundles exclude raw data, caches, heavy archives, and credential text.",
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| 955 |
"exists": true,
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"bytes":
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| 957 |
"hash_policy": "existence_and_size_only"
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| 958 |
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| 959 |
{
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|
@@ -977,7 +989,7 @@
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|
| 977 |
"volatile": true,
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| 978 |
"shows": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
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| 979 |
"exists": true,
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| 980 |
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"bytes":
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| 981 |
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| 982 |
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| 983 |
{
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@@ -989,7 +1001,7 @@
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|
| 989 |
"volatile": true,
|
| 990 |
"shows": "Confirms local website links, anchors, JSON data files, and referenced images resolve.",
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| 991 |
"exists": true,
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| 992 |
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"bytes":
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| 993 |
"hash_policy": "existence_and_size_only"
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| 994 |
},
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| 995 |
{
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|
@@ -1100,7 +1112,7 @@
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|
| 1100 |
"shows": "Stores the historical result bundle for unified tasks 13-20 with minimal and neural baselines aligned to the same 20-task window/split setup.",
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| 1101 |
"exists": true,
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| 1102 |
"bytes": 33402,
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"sha256": "
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| 1104 |
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| 1105 |
{
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| 1106 |
"id": "tier2_task_suite_json",
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|
@@ -1111,7 +1123,7 @@
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|
| 1111 |
"shows": "Machine-readable tasks 13-20 definitions, setup alignment, metrics, and public source paths; the file name is historical.",
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| 1112 |
"exists": true,
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| 1113 |
"bytes": 33402,
|
| 1114 |
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"sha256": "
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| 1115 |
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| 1116 |
{
|
| 1117 |
"id": "tier2_task_suite_chart",
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|
|
| 1 |
{
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| 2 |
"title": "Ropedia Xperience-10M Task Suite Artifact Index",
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| 3 |
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"generated_at_utc": "2026-06-16T06:28:50+00:00",
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| 4 |
"status": "pass",
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| 16 |
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"visualization_builder": 1,
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"model_result": 1,
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| 22 |
"visual_evidence": 7,
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|
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| 211 |
"surface": "repo_hf",
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| 212 |
"shows": "Runs simple metadata and neural MLP baselines on the same selected 96/16/16 episode split used by the Qwen3-Omni diagnostic pilot.",
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| 213 |
"exists": true,
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| 214 |
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"bytes": 49299,
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"sha256": "9c1d998792f1082db5f4f190f1c1662bc957450f6f32506b4cc3cbdb99323554"
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| 216 |
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{
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| 218 |
"id": "task_suite_enhancement_128",
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| 465 |
"shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
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| 466 |
"exists": true,
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"bytes": 4432,
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"sha256": "07798a6609929512ae6f9368dc2626b0a854b828682b8d0dfa0323698eb0f5bf"
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},
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| 470 |
{
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| 471 |
"id": "source_alignment_validator",
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| 564 |
"shows": "Machine-readable unified 20-task index for the website, Hugging Face mirrors, and live verification.",
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| 565 |
"exists": true,
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| 566 |
"bytes": 34648,
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| 570 |
"id": "task_suite_20_builder",
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| 585 |
"surface": "website_hf",
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| 586 |
"shows": "Stores normalized 20-axis radar values, raw task metrics, Qwen3/Cosmos overlay mappings, and branch-card caveats.",
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| 587 |
"exists": true,
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{
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"id": "unified_task_model_radar_chart",
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| 596 |
"surface": "website_hf",
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| 597 |
"shows": "Compares minimal and neural MLP baselines across all 20 tasks, with Qwen3/Cosmos task-aligned model overlays.",
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"exists": true,
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{
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"id": "unified_task_model_radar_builder",
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| 607 |
"surface": "repo_hf",
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{
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"id": "a100_128_metadata_task_baselines",
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"title": "128-episode metadata task baselines",
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"path": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/summary_report.json",
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"id": "research_takeaways",
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| 717 |
"surface": "repo_hf",
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| 724 |
"id": "figure_index_json",
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| 728 |
"surface": "website_hf",
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"shows": "Machine-readable visual asset index for website and Hugging Face mirrors.",
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{
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| 735 |
"id": "figure_index_builder",
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| 739 |
"surface": "repo_hf",
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| 740 |
"shows": "Regenerates visual-asset hashes, dimensions, and source-script provenance.",
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"exists": true,
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"bytes": 14431,
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{
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"id": "brand_assets_json",
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| 806 |
"shows": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
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"exists": true,
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"bytes": 8100,
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"sha256": "6ffa21b6c04d5ae843310ec2fa6856ed1d9f40797575a417471cec17fc447c89"
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{
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"id": "public_surface_qa",
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"shows": "Keeps the repo, website, and Hugging Face cards aligned as one cohesive research project surface.",
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"id": "public_surface_qa_json",
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| 828 |
"volatile": true,
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"shows": "Machine-readable report for SEO/social metadata, accessible tab semantics, public links, project links, and clear project presentation.",
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"exists": true,
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"bytes": 5882,
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{
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| 909 |
"volatile": true,
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"exists": true,
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"bytes": 131863,
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"hash_policy": "existence_and_size_only"
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},
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{
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| 953 |
"surface": "repo_hf",
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"exists": true,
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"bytes": 48219,
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{
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| 960 |
"id": "publication_audit",
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| 965 |
"volatile": true,
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| 966 |
"shows": "Confirms public bundles exclude raw data, caches, heavy archives, and credential text.",
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| 967 |
"exists": true,
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| 968 |
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"bytes": 7881,
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| 969 |
"hash_policy": "existence_and_size_only"
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| 970 |
},
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| 971 |
{
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| 989 |
"volatile": true,
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| 990 |
"shows": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
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"exists": true,
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"bytes": 635505,
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{
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| 1001 |
"volatile": true,
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| 1002 |
"shows": "Confirms local website links, anchors, JSON data files, and referenced images resolve.",
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| 1003 |
"exists": true,
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"bytes": 18100,
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| 1005 |
"hash_policy": "existence_and_size_only"
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},
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| 1007 |
{
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| 1112 |
"shows": "Stores the historical result bundle for unified tasks 13-20 with minimal and neural baselines aligned to the same 20-task window/split setup.",
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"exists": true,
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"bytes": 33402,
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"sha256": "5a1051d25ceafe53c60dbd5b81d4b686a421c493ad09a462ad96bac100c5f3f3"
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{
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"id": "tier2_task_suite_json",
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| 1123 |
"shows": "Machine-readable tasks 13-20 definitions, setup alignment, metrics, and public source paths; the file name is historical.",
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"exists": true,
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"bytes": 33402,
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{
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"id": "tier2_task_suite_chart",
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metrics/figure_index.json
CHANGED
|
@@ -1,7 +1,7 @@
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|
| 1 |
{
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| 2 |
"title": "Ropedia Xperience-10M Figure Index",
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| 3 |
"status": "pass",
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"generated_at_utc": "2026-06-
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| 5 |
"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": 24,
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"figures": [
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|
@@ -355,17 +355,17 @@
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| 355 |
"id": "unified_task_model_radar",
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| 356 |
"title": "Unified 20-task model radar",
|
| 357 |
"path": "docs/assets/charts/unified_task_model_radar.svg",
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| 358 |
-
"role": "Twenty-axis direction-aware comparison of minimal and neural MLP baselines, with Qwen3
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| 359 |
"source_script": "scripts/build_unified_task_model_radar.py",
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| 360 |
"surface": "website unified task section, README, HF mirrors",
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| 361 |
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"bytes":
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"sha256": "
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| 366 |
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|
| 367 |
-
"height":
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-
"view_box": "0 0 1720
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| 369 |
},
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| 370 |
"source_script_exists": true
|
| 371 |
},
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|
|
| 1 |
{
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| 2 |
"title": "Ropedia Xperience-10M Figure Index",
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| 3 |
"status": "pass",
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| 4 |
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"generated_at_utc": "2026-06-16T06:28:50+00:00",
|
| 5 |
"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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| 6 |
"figure_count": 24,
|
| 7 |
"figures": [
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|
|
|
| 355 |
"id": "unified_task_model_radar",
|
| 356 |
"title": "Unified 20-task model radar",
|
| 357 |
"path": "docs/assets/charts/unified_task_model_radar.svg",
|
| 358 |
+
"role": "Twenty-axis direction-aware comparison of minimal and neural MLP baselines, with 128-episode metadata, Qwen3, and Cosmos task-aligned overlay points and branch notes.",
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| 359 |
"source_script": "scripts/build_unified_task_model_radar.py",
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| 360 |
"surface": "website unified task section, README, HF mirrors",
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| 361 |
"exists": true,
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| 362 |
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"bytes": 30823,
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| 363 |
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"sha256": "c26b73cdfd53ec81b9b4958a03309d11b297a09c841ce38e7309c90dcdeb17b0",
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| 364 |
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| 365 |
"format": "SVG",
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| 366 |
"width": 1720,
|
| 367 |
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"height": 1360,
|
| 368 |
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"view_box": "0 0 1720 1360"
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| 369 |
},
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| 370 |
"source_script_exists": true
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| 371 |
},
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metrics/mirror_parity.json
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
metrics/public_surface_qa.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Public Project Surface",
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| 3 |
"status": "pass",
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-
"generated_at_utc": "2026-06-
|
| 5 |
"scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
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"checks": [
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{
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|
@@ -18,7 +18,7 @@
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|
| 18 |
"website_integrity": {
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| 19 |
"exists": true,
|
| 20 |
"status": "pass",
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-
"generated_at_utc": "2026-06-
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| 22 |
},
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|
@@ -28,27 +28,27 @@
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|
| 28 |
"task_surface_integrity": {
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"exists": true,
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"status": "pass",
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| 31 |
-
"generated_at_utc": "2026-06-
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| 32 |
},
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"source_alignment": {
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"exists": true,
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"status": "pass",
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"generated_at_utc": "2026-06-
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| 37 |
},
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"status": "pass",
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"generated_at_utc": "2026-06-
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"status": "pass",
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"generated_at_utc": "2026-06-
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| 47 |
},
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"mirror_parity": {
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"exists": true,
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"status": "pass",
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"generated_at_utc": "2026-06-
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| 52 |
}
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| 53 |
},
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| 54 |
"failures": {}
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| 1 |
{
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"title": "Ropedia Xperience-10M Public Project Surface",
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"status": "pass",
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"generated_at_utc": "2026-06-16T06:36:03+00:00",
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"scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
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"checks": [
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| 7 |
{
|
|
|
|
| 18 |
"website_integrity": {
|
| 19 |
"exists": true,
|
| 20 |
"status": "pass",
|
| 21 |
+
"generated_at_utc": "2026-06-16T06:32:53+00:00"
|
| 22 |
},
|
| 23 |
"rendered_site_check": {
|
| 24 |
"exists": true,
|
|
|
|
| 28 |
"task_surface_integrity": {
|
| 29 |
"exists": true,
|
| 30 |
"status": "pass",
|
| 31 |
+
"generated_at_utc": "2026-06-16T06:32:52+00:00"
|
| 32 |
},
|
| 33 |
"source_alignment": {
|
| 34 |
"exists": true,
|
| 35 |
"status": "pass",
|
| 36 |
+
"generated_at_utc": "2026-06-16T06:32:52+00:00"
|
| 37 |
},
|
| 38 |
"scale_up_status": {
|
| 39 |
"exists": true,
|
| 40 |
"status": "pass",
|
| 41 |
+
"generated_at_utc": "2026-06-16T06:33:02+00:00"
|
| 42 |
},
|
| 43 |
"publication_package": {
|
| 44 |
"exists": true,
|
| 45 |
"status": "pass",
|
| 46 |
+
"generated_at_utc": "2026-06-16T06:33:43+00:00"
|
| 47 |
},
|
| 48 |
"mirror_parity": {
|
| 49 |
"exists": true,
|
| 50 |
"status": "pass",
|
| 51 |
+
"generated_at_utc": "2026-06-16T06:33:38+00:00"
|
| 52 |
}
|
| 53 |
},
|
| 54 |
"failures": {}
|
metrics/publication_audit.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"checks": [
|
| 5 |
{
|
| 6 |
"name": "required_publication_assets_present",
|
|
@@ -193,8 +193,8 @@
|
|
| 193 |
"github_repo": {
|
| 194 |
"root": "repo",
|
| 195 |
"exists": true,
|
| 196 |
-
"file_count":
|
| 197 |
-
"text_file_count":
|
| 198 |
"largest_file": {
|
| 199 |
"path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
|
| 200 |
"bytes": 55702978
|
|
@@ -204,8 +204,8 @@
|
|
| 204 |
"hf_space_bundle": {
|
| 205 |
"root": "hf_publish/space",
|
| 206 |
"exists": true,
|
| 207 |
-
"file_count":
|
| 208 |
-
"text_file_count":
|
| 209 |
"largest_file": {
|
| 210 |
"path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
|
| 211 |
"bytes": 55702978
|
|
@@ -215,8 +215,8 @@
|
|
| 215 |
"hf_artifact_bundle": {
|
| 216 |
"root": "hf_publish/artifacts",
|
| 217 |
"exists": true,
|
| 218 |
-
"file_count":
|
| 219 |
-
"text_file_count":
|
| 220 |
"largest_file": {
|
| 221 |
"path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
|
| 222 |
"bytes": 55702978
|
|
@@ -226,8 +226,8 @@
|
|
| 226 |
"hf_model_bundle": {
|
| 227 |
"root": "hf_publish/model",
|
| 228 |
"exists": true,
|
| 229 |
-
"file_count":
|
| 230 |
-
"text_file_count":
|
| 231 |
"largest_file": {
|
| 232 |
"path": "pytorch_model.bin",
|
| 233 |
"bytes": 93495480
|
|
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
+
"generated_at_utc": "2026-06-16T06:38:03+00:00",
|
| 4 |
"checks": [
|
| 5 |
{
|
| 6 |
"name": "required_publication_assets_present",
|
|
|
|
| 193 |
"github_repo": {
|
| 194 |
"root": "repo",
|
| 195 |
"exists": true,
|
| 196 |
+
"file_count": 1040,
|
| 197 |
+
"text_file_count": 855,
|
| 198 |
"largest_file": {
|
| 199 |
"path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
|
| 200 |
"bytes": 55702978
|
|
|
|
| 204 |
"hf_space_bundle": {
|
| 205 |
"root": "hf_publish/space",
|
| 206 |
"exists": true,
|
| 207 |
+
"file_count": 824,
|
| 208 |
+
"text_file_count": 678,
|
| 209 |
"largest_file": {
|
| 210 |
"path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
|
| 211 |
"bytes": 55702978
|
|
|
|
| 215 |
"hf_artifact_bundle": {
|
| 216 |
"root": "hf_publish/artifacts",
|
| 217 |
"exists": true,
|
| 218 |
+
"file_count": 1951,
|
| 219 |
+
"text_file_count": 857,
|
| 220 |
"largest_file": {
|
| 221 |
"path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
|
| 222 |
"bytes": 55702978
|
|
|
|
| 226 |
"hf_model_bundle": {
|
| 227 |
"root": "hf_publish/model",
|
| 228 |
"exists": true,
|
| 229 |
+
"file_count": 2374,
|
| 230 |
+
"text_file_count": 1015,
|
| 231 |
"largest_file": {
|
| 232 |
"path": "pytorch_model.bin",
|
| 233 |
"bytes": 93495480
|
metrics/quality_gates.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Release Checks",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
|
| 6 |
"automated_gates": [
|
| 7 |
{
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Release Checks",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-16T06:36:08+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 |
{
|
metrics/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": "2026-06-16T06:36:49+00:00",
|
| 4 |
"summary": {
|
| 5 |
"qwen3_omni_verified_diagnostic_pilot": true,
|
| 6 |
"dataset_manifest_num_episodes": 119,
|
metrics/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": "2026-06-16T06:36:43+00:00",
|
| 5 |
"alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
|
| 6 |
"alignment_summary": {
|
| 7 |
"full_dataset_repo": "ropedia-ai/xperience-10m",
|
metrics/task_suite_20.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Unified 20-Task Suite",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"task_count": 20,
|
| 6 |
"task_count_breakdown": {
|
| 7 |
"original_public_sample_tasks": 12,
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Unified 20-Task Suite",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-16T06:26:17+00:00",
|
| 5 |
"task_count": 20,
|
| 6 |
"task_count_breakdown": {
|
| 7 |
"original_public_sample_tasks": 12,
|
metrics/task_surface_integrity.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"summary": {
|
| 5 |
"task_count": 12,
|
| 6 |
"expected_task_count": 12,
|
|
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
+
"generated_at_utc": "2026-06-16T06:36:43+00:00",
|
| 4 |
"summary": {
|
| 5 |
"task_count": 12,
|
| 6 |
"expected_task_count": 12,
|
metrics/tier2_task_suite.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Unified Tasks 13-20 Result Bundle",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"suite_position": "tasks_13_to_20",
|
| 6 |
"legacy_path_note": "The tier2_task_suite file and directory names are retained for stable public links; these tasks are part of the unified 20-task suite, not a separate public tier.",
|
| 7 |
"integrated_with_tasks_1_to_12": {
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Unified Tasks 13-20 Result Bundle",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-16T06:25:58+00:00",
|
| 5 |
"suite_position": "tasks_13_to_20",
|
| 6 |
"legacy_path_note": "The tier2_task_suite file and directory names are retained for stable public links; these tasks are part of the unified 20-task suite, not a separate public tier.",
|
| 7 |
"integrated_with_tasks_1_to_12": {
|
metrics/unified_task_model_radar.json
CHANGED
|
@@ -1,13 +1,14 @@
|
|
| 1 |
{
|
| 2 |
"title": "Unified 20-Task Model Radar",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"task_count": 20,
|
| 6 |
"normalization_policy": {
|
| 7 |
"higher_is_better": "bounded metrics are plotted directly on 0-1 axes after clipping to [0, 1]",
|
| 8 |
"lower_is_better": "lower-error metrics are converted to best_observed_value / raw_value within the same task",
|
| 9 |
"raw_values": "raw metric values, metric keys, and sources are retained in this JSON; the SVG is an overview, not a replacement for the metric table",
|
| 10 |
-
"foundation_model_overlay": "Qwen3/Cosmos points are plotted only on task-aligned axes. Missing axes mean the public result does not evaluate that task contract."
|
|
|
|
| 11 |
},
|
| 12 |
"series": [
|
| 13 |
{
|
|
@@ -32,6 +33,28 @@
|
|
| 32 |
"covered_task_count": 20,
|
| 33 |
"coverage_fraction": 1.0
|
| 34 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 35 |
{
|
| 36 |
"id": "qwen3_omni_v6_lora",
|
| 37 |
"label": "Qwen3-Omni v6 LoRA",
|
|
@@ -116,6 +139,22 @@
|
|
| 116 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 117 |
"normalized_score": 0.007936507936507936,
|
| 118 |
"raw_text": "0.0079"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 119 |
}
|
| 120 |
}
|
| 121 |
},
|
|
@@ -160,6 +199,22 @@
|
|
| 160 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 161 |
"normalized_score": 0.0,
|
| 162 |
"raw_text": "0.0000"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
| 163 |
}
|
| 164 |
}
|
| 165 |
},
|
|
@@ -212,6 +267,22 @@
|
|
| 212 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 213 |
"normalized_score": 0.9682539682539683,
|
| 214 |
"raw_text": "0.9683"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
| 215 |
}
|
| 216 |
}
|
| 217 |
},
|
|
@@ -264,6 +335,22 @@
|
|
| 264 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 265 |
"normalized_score": 0.007936507936507936,
|
| 266 |
"raw_text": "0.0079"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 267 |
}
|
| 268 |
}
|
| 269 |
},
|
|
@@ -344,6 +431,22 @@
|
|
| 344 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 345 |
"normalized_score": 0.7433862433862434,
|
| 346 |
"raw_text": "0.7434"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
| 347 |
}
|
| 348 |
}
|
| 349 |
},
|
|
@@ -388,6 +491,22 @@
|
|
| 388 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 389 |
"normalized_score": 0.13704276146316333,
|
| 390 |
"raw_text": "0.1370"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 391 |
}
|
| 392 |
}
|
| 393 |
},
|
|
@@ -416,6 +535,14 @@
|
|
| 416 |
"scope": "single_episode_public_sample",
|
| 417 |
"normalized_score": 0.01684125567132316,
|
| 418 |
"raw_text": "0.0168"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
| 419 |
}
|
| 420 |
}
|
| 421 |
},
|
|
@@ -508,6 +635,14 @@
|
|
| 508 |
"scope": "single_episode_public_sample",
|
| 509 |
"normalized_score": 0.8520179372197308,
|
| 510 |
"raw_text": "0.8520"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 511 |
}
|
| 512 |
}
|
| 513 |
},
|
|
@@ -765,6 +900,22 @@
|
|
| 765 |
}
|
| 766 |
],
|
| 767 |
"model_branch_cards": [
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 768 |
{
|
| 769 |
"id": "qwen3_omni_v6_lora",
|
| 770 |
"title": "Qwen3-Omni v6 LoRA",
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Unified 20-Task Model Radar",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-16T06:32:05+00:00",
|
| 5 |
"task_count": 20,
|
| 6 |
"normalization_policy": {
|
| 7 |
"higher_is_better": "bounded metrics are plotted directly on 0-1 axes after clipping to [0, 1]",
|
| 8 |
"lower_is_better": "lower-error metrics are converted to best_observed_value / raw_value within the same task",
|
| 9 |
"raw_values": "raw metric values, metric keys, and sources are retained in this JSON; the SVG is an overview, not a replacement for the metric table",
|
| 10 |
+
"foundation_model_overlay": "Qwen3/Cosmos points are plotted only on task-aligned axes. Missing axes mean the public result does not evaluate that task contract.",
|
| 11 |
+
"metadata_128_overlay": "128-episode metadata baselines are plotted only where the public JSONL contains enough task labels without raw feature blocks."
|
| 12 |
},
|
| 13 |
"series": [
|
| 14 |
{
|
|
|
|
| 33 |
"covered_task_count": 20,
|
| 34 |
"coverage_fraction": 1.0
|
| 35 |
},
|
| 36 |
+
{
|
| 37 |
+
"id": "metadata128_simple",
|
| 38 |
+
"label": "128ep Metadata Simple",
|
| 39 |
+
"short_label": "128-S",
|
| 40 |
+
"color": "#ffd166",
|
| 41 |
+
"kind": "partial_128_episode_metadata_baseline",
|
| 42 |
+
"scope": "128 selected episodes, JSONL metadata/text only",
|
| 43 |
+
"stroke_dasharray": "9 6",
|
| 44 |
+
"covered_task_count": 8,
|
| 45 |
+
"coverage_fraction": 0.4
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"id": "metadata128_neural_mlp",
|
| 49 |
+
"label": "128ep Metadata NN",
|
| 50 |
+
"short_label": "128-NN",
|
| 51 |
+
"color": "#f472b6",
|
| 52 |
+
"kind": "partial_128_episode_metadata_baseline",
|
| 53 |
+
"scope": "128 selected episodes, JSONL metadata/text only",
|
| 54 |
+
"stroke_dasharray": "3 6",
|
| 55 |
+
"covered_task_count": 6,
|
| 56 |
+
"coverage_fraction": 0.3
|
| 57 |
+
},
|
| 58 |
{
|
| 59 |
"id": "qwen3_omni_v6_lora",
|
| 60 |
"label": "Qwen3-Omni v6 LoRA",
|
|
|
|
| 139 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 140 |
"normalized_score": 0.007936507936507936,
|
| 141 |
"raw_text": "0.0079"
|
| 142 |
+
},
|
| 143 |
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"metadata128_simple": {
|
| 144 |
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"raw": 0.008252821966746326,
|
| 145 |
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"metric_key": "macro_f1",
|
| 146 |
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"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/timeline_action/metrics.json",
|
| 147 |
+
"scope": "multi_episode_128_metadata_baseline",
|
| 148 |
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"normalized_score": 0.008252821966746326,
|
| 149 |
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"raw_text": "0.0083"
|
| 150 |
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},
|
| 151 |
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"metadata128_neural_mlp": {
|
| 152 |
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"raw": 0.004175793689174209,
|
| 153 |
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"metric_key": "macro_f1",
|
| 154 |
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"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/timeline_action/metrics.json",
|
| 155 |
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"scope": "multi_episode_128_metadata_baseline",
|
| 156 |
+
"normalized_score": 0.004175793689174209,
|
| 157 |
+
"raw_text": "0.0042"
|
| 158 |
}
|
| 159 |
}
|
| 160 |
},
|
|
|
|
| 199 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 200 |
"normalized_score": 0.0,
|
| 201 |
"raw_text": "0.0000"
|
| 202 |
+
},
|
| 203 |
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"metadata128_simple": {
|
| 204 |
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"raw": 0.00019512195121951218,
|
| 205 |
+
"metric_key": "macro_f1",
|
| 206 |
+
"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/timeline_subtask/metrics.json",
|
| 207 |
+
"scope": "multi_episode_128_metadata_baseline",
|
| 208 |
+
"normalized_score": 0.00019512195121951218,
|
| 209 |
+
"raw_text": "0.0002"
|
| 210 |
+
},
|
| 211 |
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"metadata128_neural_mlp": {
|
| 212 |
+
"raw": 7.207207207207208e-05,
|
| 213 |
+
"metric_key": "macro_f1",
|
| 214 |
+
"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/timeline_subtask/metrics.json",
|
| 215 |
+
"scope": "multi_episode_128_metadata_baseline",
|
| 216 |
+
"normalized_score": 7.207207207207208e-05,
|
| 217 |
+
"raw_text": "0.0001"
|
| 218 |
}
|
| 219 |
}
|
| 220 |
},
|
|
|
|
| 267 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 268 |
"normalized_score": 0.9682539682539683,
|
| 269 |
"raw_text": "0.9683"
|
| 270 |
+
},
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| 271 |
+
"metadata128_simple": {
|
| 272 |
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"raw": 0.29652162550029315,
|
| 273 |
+
"metric_key": "macro_f1",
|
| 274 |
+
"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/transition_detection/metrics.json",
|
| 275 |
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"scope": "multi_episode_128_metadata_baseline",
|
| 276 |
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"normalized_score": 0.29652162550029315,
|
| 277 |
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"raw_text": "0.2965"
|
| 278 |
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},
|
| 279 |
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"metadata128_neural_mlp": {
|
| 280 |
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"raw": 0.4841733292368365,
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| 281 |
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"metric_key": "macro_f1",
|
| 282 |
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"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/transition_detection/metrics.json",
|
| 283 |
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"scope": "multi_episode_128_metadata_baseline",
|
| 284 |
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"normalized_score": 0.4841733292368365,
|
| 285 |
+
"raw_text": "0.4842"
|
| 286 |
}
|
| 287 |
}
|
| 288 |
},
|
|
|
|
| 335 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 336 |
"normalized_score": 0.007936507936507936,
|
| 337 |
"raw_text": "0.0079"
|
| 338 |
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},
|
| 339 |
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"metadata128_simple": {
|
| 340 |
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"raw": 0.006514774539765508,
|
| 341 |
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"metric_key": "macro_f1",
|
| 342 |
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"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/next_action/metrics.json",
|
| 343 |
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"scope": "multi_episode_128_metadata_baseline",
|
| 344 |
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"normalized_score": 0.006514774539765508,
|
| 345 |
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"raw_text": "0.0065"
|
| 346 |
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},
|
| 347 |
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"metadata128_neural_mlp": {
|
| 348 |
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"raw": 0.004910507980164745,
|
| 349 |
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"metric_key": "macro_f1",
|
| 350 |
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"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/next_action/metrics.json",
|
| 351 |
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"scope": "multi_episode_128_metadata_baseline",
|
| 352 |
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"normalized_score": 0.004910507980164745,
|
| 353 |
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"raw_text": "0.0049"
|
| 354 |
}
|
| 355 |
}
|
| 356 |
},
|
|
|
|
| 431 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 432 |
"normalized_score": 0.7433862433862434,
|
| 433 |
"raw_text": "0.7434"
|
| 434 |
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},
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| 435 |
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"metadata128_simple": {
|
| 436 |
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"raw": 0.4381481308057444,
|
| 437 |
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"metric_key": "macro_f1",
|
| 438 |
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"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/contact_prediction/metrics.json",
|
| 439 |
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"scope": "multi_episode_128_metadata_baseline",
|
| 440 |
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"normalized_score": 0.4381481308057444,
|
| 441 |
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"raw_text": "0.4381"
|
| 442 |
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},
|
| 443 |
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"metadata128_neural_mlp": {
|
| 444 |
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"raw": 0.5682695682695682,
|
| 445 |
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"metric_key": "macro_f1",
|
| 446 |
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"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/contact_prediction/metrics.json",
|
| 447 |
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"scope": "multi_episode_128_metadata_baseline",
|
| 448 |
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"normalized_score": 0.5682695682695682,
|
| 449 |
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"raw_text": "0.5683"
|
| 450 |
}
|
| 451 |
}
|
| 452 |
},
|
|
|
|
| 491 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 492 |
"normalized_score": 0.13704276146316333,
|
| 493 |
"raw_text": "0.1370"
|
| 494 |
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},
|
| 495 |
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"metadata128_simple": {
|
| 496 |
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"raw": 0.17764578833693304,
|
| 497 |
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"metric_key": "micro_f1",
|
| 498 |
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"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/object_relevance/metrics.json",
|
| 499 |
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"scope": "multi_episode_128_metadata_baseline",
|
| 500 |
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"normalized_score": 0.17764578833693304,
|
| 501 |
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"raw_text": "0.1776"
|
| 502 |
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},
|
| 503 |
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"metadata128_neural_mlp": {
|
| 504 |
+
"raw": 0.18662723837686876,
|
| 505 |
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"metric_key": "micro_f1",
|
| 506 |
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"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/object_relevance/metrics.json",
|
| 507 |
+
"scope": "multi_episode_128_metadata_baseline",
|
| 508 |
+
"normalized_score": 0.18662723837686876,
|
| 509 |
+
"raw_text": "0.1866"
|
| 510 |
}
|
| 511 |
}
|
| 512 |
},
|
|
|
|
| 535 |
"scope": "single_episode_public_sample",
|
| 536 |
"normalized_score": 0.01684125567132316,
|
| 537 |
"raw_text": "0.0168"
|
| 538 |
+
},
|
| 539 |
+
"metadata128_simple": {
|
| 540 |
+
"raw": 0.002332374220713973,
|
| 541 |
+
"metric_key": "mrr",
|
| 542 |
+
"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/caption_grounding/metrics.json",
|
| 543 |
+
"scope": "multi_episode_128_metadata_baseline",
|
| 544 |
+
"normalized_score": 0.002332374220713973,
|
| 545 |
+
"raw_text": "0.0023"
|
| 546 |
}
|
| 547 |
}
|
| 548 |
},
|
|
|
|
| 635 |
"scope": "single_episode_public_sample",
|
| 636 |
"normalized_score": 0.8520179372197308,
|
| 637 |
"raw_text": "0.8520"
|
| 638 |
+
},
|
| 639 |
+
"metadata128_simple": {
|
| 640 |
+
"raw": 0.4198864140782312,
|
| 641 |
+
"metric_key": "f1",
|
| 642 |
+
"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/temporal_order/metrics.json",
|
| 643 |
+
"scope": "multi_episode_128_metadata_baseline",
|
| 644 |
+
"normalized_score": 0.4198864140782312,
|
| 645 |
+
"raw_text": "0.4199"
|
| 646 |
}
|
| 647 |
}
|
| 648 |
},
|
|
|
|
| 900 |
}
|
| 901 |
],
|
| 902 |
"model_branch_cards": [
|
| 903 |
+
{
|
| 904 |
+
"id": "metadata128_simple",
|
| 905 |
+
"title": "128ep Metadata Simple",
|
| 906 |
+
"status": "a100_rerun_pass",
|
| 907 |
+
"coverage": "8/20 JSONL-supported axes",
|
| 908 |
+
"headline": "34,269 rows; train/val/test 25,629/4,608/4,032",
|
| 909 |
+
"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/summary_report.json"
|
| 910 |
+
},
|
| 911 |
+
{
|
| 912 |
+
"id": "metadata128_neural_mlp",
|
| 913 |
+
"title": "128ep Metadata NN",
|
| 914 |
+
"status": "a100_rerun_pass",
|
| 915 |
+
"coverage": "6/20 JSONL-supported axes",
|
| 916 |
+
"headline": "compact MLP heads over metadata/text features",
|
| 917 |
+
"source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/summary_report.json"
|
| 918 |
+
},
|
| 919 |
{
|
| 920 |
"id": "qwen3_omni_v6_lora",
|
| 921 |
"title": "Qwen3-Omni v6 LoRA",
|
metrics/website_integrity.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"docs_root": "docs",
|
| 5 |
"site_base": "/ropedia-xperience-10m-task-suite/",
|
| 6 |
"summary": {
|
|
@@ -180,7 +180,7 @@
|
|
| 180 |
"status": "pass",
|
| 181 |
"reason": "The Suite anchor should show the task-suite map before the modality atlas.",
|
| 182 |
"first_marker_index": 471,
|
| 183 |
-
"second_marker_index":
|
| 184 |
},
|
| 185 |
{
|
| 186 |
"name": "suite_modality_atlas_contains_seven_cards",
|
|
@@ -301,7 +301,7 @@
|
|
| 301 |
},
|
| 302 |
{
|
| 303 |
"path": "data/artifact_index.json",
|
| 304 |
-
"bytes":
|
| 305 |
"top_level_type": "dict"
|
| 306 |
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|
| 307 |
{
|
|
@@ -326,7 +326,7 @@
|
|
| 326 |
},
|
| 327 |
{
|
| 328 |
"path": "data/figure_index.json",
|
| 329 |
-
"bytes":
|
| 330 |
"top_level_type": "dict"
|
| 331 |
},
|
| 332 |
{
|
|
@@ -336,12 +336,12 @@
|
|
| 336 |
},
|
| 337 |
{
|
| 338 |
"path": "data/live_publication_status.json",
|
| 339 |
-
"bytes":
|
| 340 |
"top_level_type": "dict"
|
| 341 |
},
|
| 342 |
{
|
| 343 |
"path": "data/mirror_parity.json",
|
| 344 |
-
"bytes":
|
| 345 |
"top_level_type": "dict"
|
| 346 |
},
|
| 347 |
{
|
|
@@ -381,12 +381,12 @@
|
|
| 381 |
},
|
| 382 |
{
|
| 383 |
"path": "data/public_surface_qa.json",
|
| 384 |
-
"bytes":
|
| 385 |
"top_level_type": "dict"
|
| 386 |
},
|
| 387 |
{
|
| 388 |
"path": "data/publication_audit.json",
|
| 389 |
-
"bytes":
|
| 390 |
"top_level_type": "dict"
|
| 391 |
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|
| 392 |
{
|
|
@@ -491,12 +491,12 @@
|
|
| 491 |
},
|
| 492 |
{
|
| 493 |
"path": "data/unified_task_model_radar.json",
|
| 494 |
-
"bytes":
|
| 495 |
"top_level_type": "dict"
|
| 496 |
},
|
| 497 |
{
|
| 498 |
"path": "data/website_integrity.json",
|
| 499 |
-
"bytes":
|
| 500 |
"top_level_type": "dict"
|
| 501 |
},
|
| 502 |
{
|
|
@@ -587,7 +587,7 @@
|
|
| 587 |
{
|
| 588 |
"path": "assets/charts/unified_task_model_radar.svg",
|
| 589 |
"exists": true,
|
| 590 |
-
"bytes":
|
| 591 |
"format": "SVG",
|
| 592 |
"has_viewbox": true
|
| 593 |
},
|
|
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
+
"generated_at_utc": "2026-06-16T06:36:48+00:00",
|
| 4 |
"docs_root": "docs",
|
| 5 |
"site_base": "/ropedia-xperience-10m-task-suite/",
|
| 6 |
"summary": {
|
|
|
|
| 180 |
"status": "pass",
|
| 181 |
"reason": "The Suite anchor should show the task-suite map before the modality atlas.",
|
| 182 |
"first_marker_index": 471,
|
| 183 |
+
"second_marker_index": 1726
|
| 184 |
},
|
| 185 |
{
|
| 186 |
"name": "suite_modality_atlas_contains_seven_cards",
|
|
|
|
| 301 |
},
|
| 302 |
{
|
| 303 |
"path": "data/artifact_index.json",
|
| 304 |
+
"bytes": 96011,
|
| 305 |
"top_level_type": "dict"
|
| 306 |
},
|
| 307 |
{
|
|
|
|
| 326 |
},
|
| 327 |
{
|
| 328 |
"path": "data/figure_index.json",
|
| 329 |
+
"bytes": 15726,
|
| 330 |
"top_level_type": "dict"
|
| 331 |
},
|
| 332 |
{
|
|
|
|
| 336 |
},
|
| 337 |
{
|
| 338 |
"path": "data/live_publication_status.json",
|
| 339 |
+
"bytes": 131863,
|
| 340 |
"top_level_type": "dict"
|
| 341 |
},
|
| 342 |
{
|
| 343 |
"path": "data/mirror_parity.json",
|
| 344 |
+
"bytes": 727544,
|
| 345 |
"top_level_type": "dict"
|
| 346 |
},
|
| 347 |
{
|
|
|
|
| 381 |
},
|
| 382 |
{
|
| 383 |
"path": "data/public_surface_qa.json",
|
| 384 |
+
"bytes": 5806,
|
| 385 |
"top_level_type": "dict"
|
| 386 |
},
|
| 387 |
{
|
| 388 |
"path": "data/publication_audit.json",
|
| 389 |
+
"bytes": 7883,
|
| 390 |
"top_level_type": "dict"
|
| 391 |
},
|
| 392 |
{
|
|
|
|
| 491 |
},
|
| 492 |
{
|
| 493 |
"path": "data/unified_task_model_radar.json",
|
| 494 |
+
"bytes": 38085,
|
| 495 |
"top_level_type": "dict"
|
| 496 |
},
|
| 497 |
{
|
| 498 |
"path": "data/website_integrity.json",
|
| 499 |
+
"bytes": 18100,
|
| 500 |
"top_level_type": "dict"
|
| 501 |
},
|
| 502 |
{
|
|
|
|
| 587 |
{
|
| 588 |
"path": "assets/charts/unified_task_model_radar.svg",
|
| 589 |
"exists": true,
|
| 590 |
+
"bytes": 30823,
|
| 591 |
"format": "SVG",
|
| 592 |
"has_viewbox": true
|
| 593 |
},
|
results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/BASELINE_ALIGNMENT_REPORT.md
ADDED
|
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# 128-Episode Aligned Baselines
|
| 2 |
+
|
| 3 |
+
These results align the earlier simple and neural baseline framing to the same selected 128-episode split used by the Qwen3-Omni pilot.
|
| 4 |
+
|
| 5 |
+
The runner uses the derived Qwen JSONL export and public-safe metadata. It does not use raw Xperience-10M videos, HDF5 files, sensor NPZ blocks, Qwen weights, or LoRA weights.
|
| 6 |
+
|
| 7 |
+
## Split
|
| 8 |
+
|
| 9 |
+
- Train windows: `25629`
|
| 10 |
+
- Validation windows: `4608`
|
| 11 |
+
- Test windows: `4032`
|
| 12 |
+
- Exported episodes: `{'test': 16, 'train': 96, 'val': 16}`
|
| 13 |
+
|
| 14 |
+
## Coverage
|
| 15 |
+
|
| 16 |
+
| task | artifact id | simple status | simple primary | neural status | neural primary |
|
| 17 |
+
| --- | --- | --- | ---: | --- | ---: |
|
| 18 |
+
| Action Recognition | `timeline_action` | pass | 0.0083 | pass | 0.0042 |
|
| 19 |
+
| Procedure Step Recognition | `timeline_subtask` | pass | 0.0002 | pass | 0.0001 |
|
| 20 |
+
| Action Boundary Detection | `transition_detection` | pass | 0.2965 | pass | 0.4842 |
|
| 21 |
+
| Next-Action Prediction | `next_action` | pass | 0.0065 | pass | 0.0049 |
|
| 22 |
+
| Hand Trajectory Forecasting | `hand_trajectory_forecast` | unsupported_without_raw_128_feature_blocks | | not_run | |
|
| 23 |
+
| Contact State Prediction | `contact_prediction` | pass | 0.4381 | pass | 0.5683 |
|
| 24 |
+
| Object Relevance Prediction | `object_relevance` | pass | 0.1776 | pass | 0.1866 |
|
| 25 |
+
| Language Grounding | `caption_grounding` | pass | 0.0023 | not_run | |
|
| 26 |
+
| Cross-Modal Retrieval | `cross_modal_retrieval` | unsupported_without_raw_128_feature_blocks | | not_run | |
|
| 27 |
+
| Cross-Modal Reconstruction | `modality_reconstruction` | unsupported_without_raw_128_feature_blocks | | not_run | |
|
| 28 |
+
| Temporal Order Verification | `temporal_order` | pass | 0.4199 | not_run | |
|
| 29 |
+
| Multimodal Synchronization Detection | `misalignment_detection` | unsupported_without_raw_128_feature_blocks | | not_run | |
|
| 30 |
+
|
| 31 |
+
## Interpretation
|
| 32 |
+
|
| 33 |
+
The trainable scores are metadata/text baselines, not replacements for full raw-modality baselines. They are useful for checking split alignment, label difficulty, train/test label coverage, and whether the Qwen diagnostic run is being compared against the same 96/16/16 episode setup.
|
| 34 |
+
|
| 35 |
+
Tasks marked `unsupported_without_raw_128_feature_blocks` still need the 128-run sensor feature NPZ blocks to reproduce the single-episode feature-level target exactly.
|
results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/hand_trajectory_forecast/metrics.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"status": "unsupported_without_raw_128_feature_blocks",
|
| 3 |
+
"task": "hand_trajectory_forecast",
|
| 4 |
+
"task_display_name": "Hand Trajectory Forecasting",
|
| 5 |
+
"primary_metric": "mpjpe",
|
| 6 |
+
"primary_score": null,
|
| 7 |
+
"reason": "requires future hand-joint trajectories from raw sensor feature NPZ blocks, which are not in the public 128 package",
|
| 8 |
+
"source": "128_episode_qwen_jsonl_metadata"
|
| 9 |
+
}
|
results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/modality_reconstruction/metrics.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"status": "unsupported_without_raw_128_feature_blocks",
|
| 3 |
+
"task": "modality_reconstruction",
|
| 4 |
+
"task_display_name": "Cross-Modal Reconstruction",
|
| 5 |
+
"primary_metric": "r2",
|
| 6 |
+
"primary_score": null,
|
| 7 |
+
"reason": "requires source and target modality feature blocks such as depth/video vectors, which are not in the public 128 package",
|
| 8 |
+
"source": "128_episode_qwen_jsonl_metadata"
|
| 9 |
+
}
|
results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/next_action/confusion_matrix.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/next_action/metrics.json
ADDED
|
@@ -0,0 +1,189 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"status": "pass",
|
| 3 |
+
"task": "next_action",
|
| 4 |
+
"task_display_name": "Next-Action Prediction",
|
| 5 |
+
"model_family": "simple_centroid_metadata",
|
| 6 |
+
"source": "128_episode_qwen_jsonl_metadata",
|
| 7 |
+
"input_features": "frame/context metadata plus hashed prompt/options/main_task text; answer_json fields are excluded from inputs",
|
| 8 |
+
"split_policy": "train on train split, report val and held-out test split",
|
| 9 |
+
"num_train_windows": 25629,
|
| 10 |
+
"num_val_windows": 4608,
|
| 11 |
+
"num_test_windows": 4032,
|
| 12 |
+
"num_classes": 1217,
|
| 13 |
+
"num_train_classes": 891,
|
| 14 |
+
"majority_baseline_accuracy": 0.06101190476190476,
|
| 15 |
+
"history": [
|
| 16 |
+
{
|
| 17 |
+
"method": "train_class_centroid_cosine",
|
| 18 |
+
"reason": "train_class_count=891 exceeds softmax_max_train_classes=256"
|
| 19 |
+
}
|
| 20 |
+
],
|
| 21 |
+
"splits": {
|
| 22 |
+
"val": {
|
| 23 |
+
"accuracy": 0.041015625,
|
| 24 |
+
"balanced_accuracy": 0.009330386244737289,
|
| 25 |
+
"macro_f1": 0.005073101773315411,
|
| 26 |
+
"weighted_f1": 0.027166661457913396,
|
| 27 |
+
"num_eval_windows": 4608,
|
| 28 |
+
"num_classes": 1217
|
| 29 |
+
},
|
| 30 |
+
"test": {
|
| 31 |
+
"accuracy": 0.024305555555555556,
|
| 32 |
+
"balanced_accuracy": 0.010889995220868134,
|
| 33 |
+
"macro_f1": 0.006514774539765508,
|
| 34 |
+
"weighted_f1": 0.018397846308307635,
|
| 35 |
+
"num_eval_windows": 4032,
|
| 36 |
+
"num_classes": 1217
|
| 37 |
+
}
|
| 38 |
+
},
|
| 39 |
+
"primary_metric": "macro_f1",
|
| 40 |
+
"primary_score": 0.006514774539765508,
|
| 41 |
+
"unseen_test_class_count": 145,
|
| 42 |
+
"unseen_test_classes": [
|
| 43 |
+
"Place smartphone on stand",
|
| 44 |
+
"Pick up dustpan",
|
| 45 |
+
"Move dustpan to side",
|
| 46 |
+
"Hold container lid",
|
| 47 |
+
"Move towards the stove",
|
| 48 |
+
"Open stove pot lid",
|
| 49 |
+
"Walking towards door",
|
| 50 |
+
"Closing the door",
|
| 51 |
+
"Picking up bottle",
|
| 52 |
+
"Wipe kitchen counter",
|
| 53 |
+
"Rinse cloth in sink",
|
| 54 |
+
"Move towards kitchen area",
|
| 55 |
+
"Place cloth on floor",
|
| 56 |
+
"Reach for cleaning supplies",
|
| 57 |
+
"Grasp cleaning bottle",
|
| 58 |
+
"Remove cleaning bottle",
|
| 59 |
+
"Washing hands in sink",
|
| 60 |
+
"Grasping cleaning cloth",
|
| 61 |
+
"Wiping countertop",
|
| 62 |
+
"Lift pot lid",
|
| 63 |
+
"Stir contents",
|
| 64 |
+
"Place lid back",
|
| 65 |
+
"Adjust pot position",
|
| 66 |
+
"Move pot",
|
| 67 |
+
"Place towel",
|
| 68 |
+
"Start cutting",
|
| 69 |
+
"Cut along the marked line",
|
| 70 |
+
"Reposition hand",
|
| 71 |
+
"Observe and walk through store",
|
| 72 |
+
"Inspect shelf condition",
|
| 73 |
+
"Observe colleague and workspace",
|
| 74 |
+
"Approach boxes",
|
| 75 |
+
"Reach for wire hangers",
|
| 76 |
+
"Extract wire hangers from box",
|
| 77 |
+
"Bundle display hooks",
|
| 78 |
+
"Release hook",
|
| 79 |
+
"Walk towards other aisles",
|
| 80 |
+
"Move through aisle",
|
| 81 |
+
"Pick up items from the shopping bag",
|
| 82 |
+
"Place items on the shelf",
|
| 83 |
+
"Place marked piece down",
|
| 84 |
+
"Hold cardboard piece",
|
| 85 |
+
"Release cardboard piece and gesture",
|
| 86 |
+
"Move marker and adjust hand",
|
| 87 |
+
"Identify next cardboard piece",
|
| 88 |
+
"Observe and pause",
|
| 89 |
+
"Gesturing",
|
| 90 |
+
"Resume observation",
|
| 91 |
+
"Reach for next can",
|
| 92 |
+
"Hold canned food",
|
| 93 |
+
"Retrieve next canned food item",
|
| 94 |
+
"Align canned food on shelf",
|
| 95 |
+
"Reach for next canned food",
|
| 96 |
+
"Retrieve canned food from box",
|
| 97 |
+
"Place another canned food on shelf",
|
| 98 |
+
"Adjust canned food on shelf",
|
| 99 |
+
"Move hand away from shelf",
|
| 100 |
+
"Move hand away",
|
| 101 |
+
"Hold earbud case",
|
| 102 |
+
"Open earbud case",
|
| 103 |
+
"sort craft materials",
|
| 104 |
+
"Manipulate craft piece",
|
| 105 |
+
"Manipulate craft paper strips",
|
| 106 |
+
"Operate smartphone",
|
| 107 |
+
"Release smartphone",
|
| 108 |
+
"Sort small craft pieces",
|
| 109 |
+
"Open paper lantern",
|
| 110 |
+
"Fold paper lantern",
|
| 111 |
+
"Grasp lantern",
|
| 112 |
+
"Grasp lantern component",
|
| 113 |
+
"Align paper lantern edges",
|
| 114 |
+
"Adjust lantern string",
|
| 115 |
+
"Release lantern",
|
| 116 |
+
"Pick up packaged paper lantern component",
|
| 117 |
+
"Handle paper lantern component",
|
| 118 |
+
"Open folded paper lantern",
|
| 119 |
+
"Adjust lantern shape",
|
| 120 |
+
"Hold paper lantern",
|
| 121 |
+
"Apply adhesive tape to lantern",
|
| 122 |
+
"Remove paper lantern part from packaging",
|
| 123 |
+
"Remove plastic packaging",
|
| 124 |
+
"Open paper lantern component",
|
| 125 |
+
"Expand paper lantern",
|
| 126 |
+
"Align edges of paper lantern",
|
| 127 |
+
"Reach for craft items",
|
| 128 |
+
"Sort craft items",
|
| 129 |
+
"Place hand on table",
|
| 130 |
+
"Browse smartphone screen",
|
| 131 |
+
"Scroll smartphone screen",
|
| 132 |
+
"Put down smartphone",
|
| 133 |
+
"Place smartphone down",
|
| 134 |
+
"Pick up puzzle piece",
|
| 135 |
+
"Place piece into puzzle",
|
| 136 |
+
"Manipulate puzzle piece",
|
| 137 |
+
"Observe puzzle progress",
|
| 138 |
+
"Reach for puzzle piece",
|
| 139 |
+
"Attempt to fit puzzle piece",
|
| 140 |
+
"Sort puzzle pieces",
|
| 141 |
+
"Walking across the room",
|
| 142 |
+
"Approaching the table",
|
| 143 |
+
"Preparing to craft",
|
| 144 |
+
"Picking up crafting material",
|
| 145 |
+
"Pick up small piece of material",
|
| 146 |
+
"Manipulate material",
|
| 147 |
+
"Place material",
|
| 148 |
+
"Manipulate yellow strip",
|
| 149 |
+
"Manipulating paper strips",
|
| 150 |
+
"Manipulate bead",
|
| 151 |
+
"Manipulate beads",
|
| 152 |
+
"Use phone while crafting",
|
| 153 |
+
"Hold and manipulate paper strip",
|
| 154 |
+
"Sort buttons",
|
| 155 |
+
"Arrange buttons in a line",
|
| 156 |
+
"Sort and arrange buttons",
|
| 157 |
+
"Sort button",
|
| 158 |
+
"Sort and adjust button line",
|
| 159 |
+
"Sort and place buttons",
|
| 160 |
+
"Walking in the hallway",
|
| 161 |
+
"Approaching and pressing the door switch",
|
| 162 |
+
"Entering the VR training room",
|
| 163 |
+
"Greeting/acknowledging participants",
|
| 164 |
+
"Move through the training room",
|
| 165 |
+
"Manipulate plastic strips",
|
| 166 |
+
"Manipulate plastic strip",
|
| 167 |
+
"Hold and bend plastic strip",
|
| 168 |
+
"Bend and manipulate plastic strip",
|
| 169 |
+
"Fold plastic strip",
|
| 170 |
+
"Manipulate paper decoration",
|
| 171 |
+
"Manipulate paper edge",
|
| 172 |
+
"Placing paper strip",
|
| 173 |
+
"Securing paper structure",
|
| 174 |
+
"Manipulate adhesive strip",
|
| 175 |
+
"Secure paper edges with adhesive",
|
| 176 |
+
"Record count",
|
| 177 |
+
"Sort beads and write count",
|
| 178 |
+
"Counting and organizing beads",
|
| 179 |
+
"Pick up star bead",
|
| 180 |
+
"Place and count bead",
|
| 181 |
+
"Arrange star beads",
|
| 182 |
+
"Counting star beads",
|
| 183 |
+
"Retrieving more beads",
|
| 184 |
+
"Adjust paper",
|
| 185 |
+
"Gather star beads",
|
| 186 |
+
"Arrange star beads for counting",
|
| 187 |
+
"Sort and count beads"
|
| 188 |
+
]
|
| 189 |
+
}
|
results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/next_action/per_class_metrics.csv
ADDED
|
@@ -0,0 +1,1218 @@
|
|
|
|
|
|
|
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|
|
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|
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|
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|
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|
|
|
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|
|
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|
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|
|
|
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|
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|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
| 1 |
+
class_id,class_name,support,predicted,precision,recall,f1
|
| 2 |
+
0,Place jar on shelf,0,0,0.0,0.0,0.0
|
| 3 |
+
1,Reach for item in box,0,0,0.0,0.0,0.0
|
| 4 |
+
2,Pick up nut bar box,0,0,0.0,0.0,0.0
|
| 5 |
+
3,unknown,246,399,0.14285714285714285,0.23170731707317074,0.1767441860465116
|
| 6 |
+
4,Pick up product from box,0,4,0.0,0.0,0.0
|
| 7 |
+
5,Place product on shelf,0,106,0.0,0.0,0.0
|
| 8 |
+
6,Pick up product from bin,0,10,0.0,0.0,0.0
|
| 9 |
+
7,Place canned product on shelf,0,0,0.0,0.0,0.0
|
| 10 |
+
8,Reach for next product,0,0,0.0,0.0,0.0
|
| 11 |
+
9,Pick up canned product,0,0,0.0,0.0,0.0
|
| 12 |
+
10,Reach for next canned product,0,0,0.0,0.0,0.0
|
| 13 |
+
11,Arrange canned products on shelf,0,0,0.0,0.0,0.0
|
| 14 |
+
12,Pick up plastic bin,0,0,0.0,0.0,0.0
|
| 15 |
+
13,Move bin to shelf area,0,1,0.0,0.0,0.0
|
| 16 |
+
14,Place can on shelf,15,0,0.0,0.0,0.0
|
| 17 |
+
15,Retract hand,0,0,0.0,0.0,0.0
|
| 18 |
+
16,Hold and wipe product,0,0,0.0,0.0,0.0
|
| 19 |
+
17,Reach for next item,15,4,0.0,0.0,0.0
|
| 20 |
+
18,Wipe down shelf,0,0,0.0,0.0,0.0
|
| 21 |
+
19,Pick up product,0,10,0.0,0.0,0.0
|
| 22 |
+
20,Wipe product,0,0,0.0,0.0,0.0
|
| 23 |
+
21,Wipe food product,0,0,0.0,0.0,0.0
|
| 24 |
+
22,Reach into box,12,0,0.0,0.0,0.0
|
| 25 |
+
23,Place product in box,0,1,0.0,0.0,0.0
|
| 26 |
+
24,Wipe jar,0,3,0.0,0.0,0.0
|
| 27 |
+
25,Place jar in box,0,2,0.0,0.0,0.0
|
| 28 |
+
26,Wipe shelf,0,0,0.0,0.0,0.0
|
| 29 |
+
27,Pick up pickle jar,0,3,0.0,0.0,0.0
|
| 30 |
+
28,Hold pickle jar,0,0,0.0,0.0,0.0
|
| 31 |
+
29,Place pickle jar in box,0,0,0.0,0.0,0.0
|
| 32 |
+
30,Release pickle jar,0,0,0.0,0.0,0.0
|
| 33 |
+
31,Hold cleaning cloth,0,0,0.0,0.0,0.0
|
| 34 |
+
32,Wipe the shelf,0,0,0.0,0.0,0.0
|
| 35 |
+
33,Pick up product from shelf,0,39,0.0,0.0,0.0
|
| 36 |
+
34,Wipe the product jar,0,0,0.0,0.0,0.0
|
| 37 |
+
35,Place jar into shelf box,0,1,0.0,0.0,0.0
|
| 38 |
+
36,Wipe grocery shelf,0,5,0.0,0.0,0.0
|
| 39 |
+
37,Move to next section,0,0,0.0,0.0,0.0
|
| 40 |
+
38,Hold product,0,2,0.0,0.0,0.0
|
| 41 |
+
39,Hold item and adjust posture,0,1,0.0,0.0,0.0
|
| 42 |
+
40,Grasp product from box,0,1,0.0,0.0,0.0
|
| 43 |
+
41,Prepare to place product,0,2,0.0,0.0,0.0
|
| 44 |
+
42,Move product to shelf,0,0,0.0,0.0,0.0
|
| 45 |
+
43,Grasp product from shelf,0,0,0.0,0.0,0.0
|
| 46 |
+
44,Move product to box,0,1,0.0,0.0,0.0
|
| 47 |
+
45,Grasp next item,0,3,0.0,0.0,0.0
|
| 48 |
+
46,Reach for buttons,0,0,0.0,0.0,0.0
|
| 49 |
+
47,Rearrange buttons,0,1,0.0,0.0,0.0
|
| 50 |
+
48,Align button in row,0,0,0.0,0.0,0.0
|
| 51 |
+
49,Pick up button,16,0,0.0,0.0,0.0
|
| 52 |
+
50,Place button in row,0,0,0.0,0.0,0.0
|
| 53 |
+
51,Place button,24,0,0.0,0.0,0.0
|
| 54 |
+
52,Release button,0,0,0.0,0.0,0.0
|
| 55 |
+
53,Pick up orange button,0,0,0.0,0.0,0.0
|
| 56 |
+
54,Arrange small buttons,0,0,0.0,0.0,0.0
|
| 57 |
+
55,Align button,0,0,0.0,0.0,0.0
|
| 58 |
+
56,Align buttons,0,0,0.0,0.0,0.0
|
| 59 |
+
57,Arrange button cluster,0,0,0.0,0.0,0.0
|
| 60 |
+
58,Align button row,0,0,0.0,0.0,0.0
|
| 61 |
+
59,Arrange buttons on table,0,0,0.0,0.0,0.0
|
| 62 |
+
60,Look around the table,0,1,0.0,0.0,0.0
|
| 63 |
+
61,Adjust red button in row,0,1,0.0,0.0,0.0
|
| 64 |
+
62,Select button from pile,0,0,0.0,0.0,0.0
|
| 65 |
+
63,Adjust red button,0,0,0.0,0.0,0.0
|
| 66 |
+
64,Pull back hand,0,1,0.0,0.0,0.0
|
| 67 |
+
65,Align red buttons,0,1,0.0,0.0,0.0
|
| 68 |
+
66,Survey the table,0,3,0.0,0.0,0.0
|
| 69 |
+
67,Reach for black button,0,1,0.0,0.0,0.0
|
| 70 |
+
68,Arrange black buttons,0,2,0.0,0.0,0.0
|
| 71 |
+
69,Pick up black button,0,0,0.0,0.0,0.0
|
| 72 |
+
70,Move black button,0,0,0.0,0.0,0.0
|
| 73 |
+
71,Pick up red button,0,0,0.0,0.0,0.0
|
| 74 |
+
72,Place red button,0,4,0.0,0.0,0.0
|
| 75 |
+
73,Move and place black buttons,0,0,0.0,0.0,0.0
|
| 76 |
+
74,Reach for multicolored buttons,0,1,0.0,0.0,0.0
|
| 77 |
+
75,Arrange buttons in row,0,2,0.0,0.0,0.0
|
| 78 |
+
76,Arrange red buttons,0,0,0.0,0.0,0.0
|
| 79 |
+
77,Align red button in row,0,1,0.0,0.0,0.0
|
| 80 |
+
78,Reach and sort buttons,0,0,0.0,0.0,0.0
|
| 81 |
+
79,Adjust red button position,0,0,0.0,0.0,0.0
|
| 82 |
+
80,Withdraw hand from buttons,0,3,0.0,0.0,0.0
|
| 83 |
+
81,Place and align button,0,0,0.0,0.0,0.0
|
| 84 |
+
82,Move hand,0,1,0.0,0.0,0.0
|
| 85 |
+
83,Reach for button,0,0,0.0,0.0,0.0
|
| 86 |
+
84,Move button to line,0,0,0.0,0.0,0.0
|
| 87 |
+
85,Cut cardboard piece,39,0,0.0,0.0,0.0
|
| 88 |
+
86,Manipulate cardboard piece,0,1,0.0,0.0,0.0
|
| 89 |
+
87,Place cardboard piece,0,0,0.0,0.0,0.0
|
| 90 |
+
88,Position scissors to cut cardboard,0,0,0.0,0.0,0.0
|
| 91 |
+
89,Cut cardboard,169,140,0.0,0.0,0.0
|
| 92 |
+
90,Release scissors,7,0,0.0,0.0,0.0
|
| 93 |
+
91,Pick up scissors,0,0,0.0,0.0,0.0
|
| 94 |
+
92,Position scissors,0,0,0.0,0.0,0.0
|
| 95 |
+
93,Place down scissors,0,0,0.0,0.0,0.0
|
| 96 |
+
94,Put down scissors,0,0,0.0,0.0,0.0
|
| 97 |
+
95,Move away from workstation,0,0,0.0,0.0,0.0
|
| 98 |
+
96,Walk through corridor,0,0,0.0,0.0,0.0
|
| 99 |
+
97,Arrive at a different workstation,0,0,0.0,0.0,0.0
|
| 100 |
+
98,Move vacuum cleaner hose,0,0,0.0,0.0,0.0
|
| 101 |
+
99,Walk through workspace,0,0,0.0,0.0,0.0
|
| 102 |
+
100,Mark cardboard with ruler and pen,0,0,0.0,0.0,0.0
|
| 103 |
+
101,Mark cardboard with pen and ruler,0,0,0.0,0.0,0.0
|
| 104 |
+
102,Cut cardboard with scissors,0,0,0.0,0.0,0.0
|
| 105 |
+
103,Reach for utility knife,0,2,0.0,0.0,0.0
|
| 106 |
+
104,Position ruler on cardboard,0,6,0.0,0.0,0.0
|
| 107 |
+
105,Hold ruler steady,0,2,0.0,0.0,0.0
|
| 108 |
+
106,Mark line on cardboard,0,1,0.0,0.0,0.0
|
| 109 |
+
107,Move marker and ruler,0,0,0.0,0.0,0.0
|
| 110 |
+
108,Pick up smartphone,8,2,0.0,0.0,0.0
|
| 111 |
+
109,Place smartphone on cardboard,0,0,0.0,0.0,0.0
|
| 112 |
+
110,Mark cardboard,0,0,0.0,0.0,0.0
|
| 113 |
+
111,Stack cardboard pieces,0,3,0.0,0.0,0.0
|
| 114 |
+
112,Hold cardboard pieces,0,0,0.0,0.0,0.0
|
| 115 |
+
113,Place cardboard,0,45,0.0,0.0,0.0
|
| 116 |
+
114,Align ruler on cardboard,0,1,0.0,0.0,0.0
|
| 117 |
+
115,Mark cardboard with pen,0,0,0.0,0.0,0.0
|
| 118 |
+
116,Plug cable into portable charger,0,0,0.0,0.0,0.0
|
| 119 |
+
117,Pick up portable charger,0,0,0.0,0.0,0.0
|
| 120 |
+
118,Walk towards room,0,0,0.0,0.0,0.0
|
| 121 |
+
119,Hold portable charger,0,0,0.0,0.0,0.0
|
| 122 |
+
120,Place charger on table,0,0,0.0,0.0,0.0
|
| 123 |
+
121,Hold charger and cable,0,0,0.0,0.0,0.0
|
| 124 |
+
122,Manipulate power cable plug,0,0,0.0,0.0,0.0
|
| 125 |
+
123,Insert plug into power adapter,0,0,0.0,0.0,0.0
|
| 126 |
+
124,Hold power adapter,0,0,0.0,0.0,0.0
|
| 127 |
+
125,Align charging cable,0,0,0.0,0.0,0.0
|
| 128 |
+
126,Insert charging cable,0,0,0.0,0.0,0.0
|
| 129 |
+
127,Observe desktop layout,0,0,0.0,0.0,0.0
|
| 130 |
+
128,Retract camera/reposition view,0,0,0.0,0.0,0.0
|
| 131 |
+
129,Manipulate paper strip,144,0,0.0,0.0,0.0
|
| 132 |
+
130,Fold paper strip,0,294,0.0,0.0,0.0
|
| 133 |
+
131,Release paper strip,34,1,0.0,0.0,0.0
|
| 134 |
+
132,Pick up yellow paper strip,0,0,0.0,0.0,0.0
|
| 135 |
+
133,Pick up phone,0,3,0.0,0.0,0.0
|
| 136 |
+
134,Use phone,23,2,0.0,0.0,0.0
|
| 137 |
+
135,Place phone on desk,0,1,0.0,0.0,0.0
|
| 138 |
+
136,Interact with phone,0,1,0.0,0.0,0.0
|
| 139 |
+
137,Place phone down,8,4,0.0,0.0,0.0
|
| 140 |
+
138,Place down paper pieces,0,238,0.0,0.0,0.0
|
| 141 |
+
139,Adjust paper strip,0,1,0.0,0.0,0.0
|
| 142 |
+
140,Continue folding paper strip,0,8,0.0,0.0,0.0
|
| 143 |
+
141,Release folded paper,0,1,0.0,0.0,0.0
|
| 144 |
+
142,Fold paper strip into knot,0,0,0.0,0.0,0.0
|
| 145 |
+
143,Fold paper strip into lucky star,0,0,0.0,0.0,0.0
|
| 146 |
+
144,Inflate paper star,0,0,0.0,0.0,0.0
|
| 147 |
+
145,Fold purple paper strip,0,0,0.0,0.0,0.0
|
| 148 |
+
146,Fold purple paper,0,0,0.0,0.0,0.0
|
| 149 |
+
147,Hold and crease purple paper,0,1,0.0,0.0,0.0
|
| 150 |
+
148,Release paper,0,0,0.0,0.0,0.0
|
| 151 |
+
149,Reach for phone,0,0,0.0,0.0,0.0
|
| 152 |
+
150,Retrieve paper strips,0,2,0.0,0.0,0.0
|
| 153 |
+
151,Fold and organize paper strips,0,0,0.0,0.0,0.0
|
| 154 |
+
152,Hold charger,0,0,0.0,0.0,0.0
|
| 155 |
+
153,Separate cardboard piece,0,0,0.0,0.0,0.0
|
| 156 |
+
154,Cut cardboard with utility knife,0,0,0.0,0.0,0.0
|
| 157 |
+
155,Switch to scissors,0,0,0.0,0.0,0.0
|
| 158 |
+
156,Mark cardboard piece,64,0,0.0,0.0,0.0
|
| 159 |
+
157,Reach into bag,0,0,0.0,0.0,0.0
|
| 160 |
+
158,Retract hand from bag,0,0,0.0,0.0,0.0
|
| 161 |
+
159,Open small case,0,1,0.0,0.0,0.0
|
| 162 |
+
160,Measure cardboard with ruler,0,1,0.0,0.0,0.0
|
| 163 |
+
161,Move smartphone,23,0,0.0,0.0,0.0
|
| 164 |
+
162,Hold ruler on cardboard,0,0,0.0,0.0,0.0
|
| 165 |
+
163,Remove ruler,0,0,0.0,0.0,0.0
|
| 166 |
+
164,Walk towards table,0,0,0.0,0.0,0.0
|
| 167 |
+
165,Approach desk,0,0,0.0,0.0,0.0
|
| 168 |
+
166,Position hands for work,0,0,0.0,0.0,0.0
|
| 169 |
+
167,Manipulate quilling strip,0,0,0.0,0.0,0.0
|
| 170 |
+
168,Release quilling strip,0,0,0.0,0.0,0.0
|
| 171 |
+
169,Begin rolling quilling strip,0,0,0.0,0.0,0.0
|
| 172 |
+
170,Type on smartphone,0,10,0.0,0.0,0.0
|
| 173 |
+
171,Use phone to check stock,0,0,0.0,0.0,0.0
|
| 174 |
+
172,Place phone on shelf,0,5,0.0,0.0,0.0
|
| 175 |
+
173,Organize products,0,3,0.0,0.0,0.0
|
| 176 |
+
174,Close cardboard box,0,0,0.0,0.0,0.0
|
| 177 |
+
175,Grasp package,0,2,0.0,0.0,0.0
|
| 178 |
+
176,Place item on shelf,21,29,0.0,0.0,0.0
|
| 179 |
+
177,Move cardboard box,0,1,0.0,0.0,0.0
|
| 180 |
+
178,Observe shelf status,0,2,0.0,0.0,0.0
|
| 181 |
+
179,Walk towards aisle,0,0,0.0,0.0,0.0
|
| 182 |
+
180,Inspect product lid,0,2,0.0,0.0,0.0
|
| 183 |
+
181,Move towards shelf,0,0,0.0,0.0,0.0
|
| 184 |
+
182,Adjust item on shelf,19,0,0.0,0.0,0.0
|
| 185 |
+
183,Reach for another item,16,0,0.0,0.0,0.0
|
| 186 |
+
184,Remove item from shelf,0,0,0.0,0.0,0.0
|
| 187 |
+
185,Discard item into bin,0,1,0.0,0.0,0.0
|
| 188 |
+
186,Sweep debris,0,1,0.0,0.0,0.0
|
| 189 |
+
187,Sweep floor debris,0,1,0.0,0.0,0.0
|
| 190 |
+
188,Touch shelf edge,0,2,0.0,0.0,0.0
|
| 191 |
+
189,Reach for product,0,1,0.0,0.0,0.0
|
| 192 |
+
190,Release label,0,0,0.0,0.0,0.0
|
| 193 |
+
191,Remove shelf label,0,1,0.0,0.0,0.0
|
| 194 |
+
192,Move along shelf,0,0,0.0,0.0,0.0
|
| 195 |
+
193,Carry stool to next shelf,0,0,0.0,0.0,0.0
|
| 196 |
+
194,Place stool on floor,0,2,0.0,0.0,0.0
|
| 197 |
+
195,Observe shelf,0,0,0.0,0.0,0.0
|
| 198 |
+
196,Walk towards next aisle,0,0,0.0,0.0,0.0
|
| 199 |
+
197,Reach for product labels,0,2,0.0,0.0,0.0
|
| 200 |
+
198,Hold product labels,0,8,0.0,0.0,0.0
|
| 201 |
+
199,Examine labels,0,0,0.0,0.0,0.0
|
| 202 |
+
200,Pick up bottled sauce,0,0,0.0,0.0,0.0
|
| 203 |
+
201,Place sauce in container,0,0,0.0,0.0,0.0
|
| 204 |
+
202,Pick up supplement bottle,0,0,0.0,0.0,0.0
|
| 205 |
+
203,Hold supplement bottle,0,0,0.0,0.0,0.0
|
| 206 |
+
204,Open supplement bottle,0,0,0.0,0.0,0.0
|
| 207 |
+
205,Walk through store,0,0,0.0,0.0,0.0
|
| 208 |
+
206,Reach for item on shelf,0,1,0.0,0.0,0.0
|
| 209 |
+
207,Pick up item,0,0,0.0,0.0,0.0
|
| 210 |
+
208,Examine item,0,0,0.0,0.0,0.0
|
| 211 |
+
209,Place item in container,0,0,0.0,0.0,0.0
|
| 212 |
+
210,Pick up another item,0,0,0.0,0.0,0.0
|
| 213 |
+
211,Adjust grip on container,0,0,0.0,0.0,0.0
|
| 214 |
+
212,Pick up oil bottle,0,0,0.0,0.0,0.0
|
| 215 |
+
213,Place oil in container,0,0,0.0,0.0,0.0
|
| 216 |
+
214,Inspect supplement bottle,0,0,0.0,0.0,0.0
|
| 217 |
+
215,Place supplement bottle in container,0,0,0.0,0.0,0.0
|
| 218 |
+
216,Pick up spice jar,0,0,0.0,0.0,0.0
|
| 219 |
+
217,Place spice jar in container,0,0,0.0,0.0,0.0
|
| 220 |
+
218,Sort beads,16,74,0.013513513513513514,0.0625,0.022222222222222223
|
| 221 |
+
219,Adjust hand position,0,0,0.0,0.0,0.0
|
| 222 |
+
220,Arrange star-shaped beads,0,0,0.0,0.0,0.0
|
| 223 |
+
221,Move pen,0,0,0.0,0.0,0.0
|
| 224 |
+
222,Sort beads by color,0,19,0.0,0.0,0.0
|
| 225 |
+
223,Stand up and walk away,0,0,0.0,0.0,0.0
|
| 226 |
+
224,Move towards table,0,0,0.0,0.0,0.0
|
| 227 |
+
225,Observe room,0,1,0.0,0.0,0.0
|
| 228 |
+
226,Check watch,0,1,0.0,0.0,0.0
|
| 229 |
+
227,Prepare to sort beads,0,0,0.0,0.0,0.0
|
| 230 |
+
228,Hold cardboard,0,0,0.0,0.0,0.0
|
| 231 |
+
229,Align ruler,0,1,0.0,0.0,0.0
|
| 232 |
+
230,Adjust grip,0,1,0.0,0.0,0.0
|
| 233 |
+
231,Move ruler,0,0,0.0,0.0,0.0
|
| 234 |
+
232,Adjust ruler position,0,0,0.0,0.0,0.0
|
| 235 |
+
233,Mark cardboard with marker,0,0,0.0,0.0,0.0
|
| 236 |
+
234,Draw lines on cardboard,0,0,0.0,0.0,0.0
|
| 237 |
+
235,Drawing lines on cardboard,0,0,0.0,0.0,0.0
|
| 238 |
+
236,Reposition marker,0,0,0.0,0.0,0.0
|
| 239 |
+
237,Mark lines with marker,0,0,0.0,0.0,0.0
|
| 240 |
+
238,Position the ruler,0,0,0.0,0.0,0.0
|
| 241 |
+
239,Hold ruler,0,0,0.0,0.0,0.0
|
| 242 |
+
240,Walking in the workspace,0,0,0.0,0.0,0.0
|
| 243 |
+
241,Insert charging cable into power bank,0,0,0.0,0.0,0.0
|
| 244 |
+
242,Manipulate and inspect colorful pieces,0,0,0.0,0.0,0.0
|
| 245 |
+
243,Manipulate colorful pieces,0,0,0.0,0.0,0.0
|
| 246 |
+
244,Sort colorful pieces,0,0,0.0,0.0,0.0
|
| 247 |
+
245,Hold power bank and cable,0,0,0.0,0.0,0.0
|
| 248 |
+
246,Touch pieces in box,0,0,0.0,0.0,0.0
|
| 249 |
+
247,Interact with colleagues,0,0,0.0,0.0,0.0
|
| 250 |
+
248,Hold small white box,0,0,0.0,0.0,0.0
|
| 251 |
+
249,Place white box on table,0,0,0.0,0.0,0.0
|
| 252 |
+
250,Adjust smartphone and sort pieces,0,0,0.0,0.0,0.0
|
| 253 |
+
251,Sort small colorful pieces,0,2,0.0,0.0,0.0
|
| 254 |
+
252,Sorting colorful paper pieces,0,0,0.0,0.0,0.0
|
| 255 |
+
253,Manipulate paper piece,0,0,0.0,0.0,0.0
|
| 256 |
+
254,Use phone to check instructions,0,29,0.0,0.0,0.0
|
| 257 |
+
255,Trace pattern on cardboard,0,3,0.0,0.0,0.0
|
| 258 |
+
256,Remove cardboard pattern,0,3,0.0,0.0,0.0
|
| 259 |
+
257,Remove cardboard pattern piece,0,4,0.0,0.0,0.0
|
| 260 |
+
258,Cut out cardboard pattern,0,5,0.0,0.0,0.0
|
| 261 |
+
259,Cut cardboard pattern,0,2,0.0,0.0,0.0
|
| 262 |
+
260,Adjust cardboard position,0,2,0.0,0.0,0.0
|
| 263 |
+
261,Interact with smartphone screen,0,4,0.0,0.0,0.0
|
| 264 |
+
262,Pick up metal ruler,0,0,0.0,0.0,0.0
|
| 265 |
+
263,Pick up pen,12,0,0.0,0.0,0.0
|
| 266 |
+
264,Move pen aside,0,5,0.0,0.0,0.0
|
| 267 |
+
265,Reposition and cut,0,0,0.0,0.0,0.0
|
| 268 |
+
266,Hold quilling paper,0,0,0.0,0.0,0.0
|
| 269 |
+
267,Roll quilling paper,0,0,0.0,0.0,0.0
|
| 270 |
+
268,Hold quilled paper coil,0,3,0.0,0.0,0.0
|
| 271 |
+
269,Release paper coil,0,2,0.0,0.0,0.0
|
| 272 |
+
270,Pick up paper strip,0,3,0.0,0.0,0.0
|
| 273 |
+
271,Manipulate quilled paper strip,0,0,0.0,0.0,0.0
|
| 274 |
+
272,Release and prepare new strip,0,0,0.0,0.0,0.0
|
| 275 |
+
273,Manipulate small paper segment,0,0,0.0,0.0,0.0
|
| 276 |
+
274,Place down paper segment,0,4,0.0,0.0,0.0
|
| 277 |
+
275,Reach for paper strips,0,5,0.0,0.0,0.0
|
| 278 |
+
276,Place item into bag,0,0,0.0,0.0,0.0
|
| 279 |
+
277,Browse and interact with phone interface,0,2,0.0,0.0,0.0
|
| 280 |
+
278,Interacting with phone screen,0,20,0.0,0.0,0.0
|
| 281 |
+
279,Pick up light blue strip,0,0,0.0,0.0,0.0
|
| 282 |
+
280,Inspect strip,0,1,0.0,0.0,0.0
|
| 283 |
+
281,Manipulate light blue strip,0,1,0.0,0.0,0.0
|
| 284 |
+
282,Cut cardboard tube,0,5,0.0,0.0,0.0
|
| 285 |
+
283,Place scissors aside,0,0,0.0,0.0,0.0
|
| 286 |
+
284,Stacking cardboard pieces,0,7,0.0,0.0,0.0
|
| 287 |
+
285,Moving hand towards cardboard stack,0,1,0.0,0.0,0.0
|
| 288 |
+
286,Moving hand,0,0,0.0,0.0,0.0
|
| 289 |
+
287,Position cardboard for cutting,0,0,0.0,0.0,0.0
|
| 290 |
+
288,Put down water bottle,0,1,0.0,0.0,0.0
|
| 291 |
+
289,Pick up cardboard piece,0,0,0.0,0.0,0.0
|
| 292 |
+
290,Cut cardboard piece with scissors,0,0,0.0,0.0,0.0
|
| 293 |
+
291,Release cardboard piece,0,2,0.0,0.0,0.0
|
| 294 |
+
292,Placing piece on stack,0,0,0.0,0.0,0.0
|
| 295 |
+
293,Walk across office,0,0,0.0,0.0,0.0
|
| 296 |
+
294,Cut cardboard into triangles,0,0,0.0,0.0,0.0
|
| 297 |
+
295,Cut cardboard shape,0,10,0.0,0.0,0.0
|
| 298 |
+
296,Reach for and pick up smartphone,0,9,0.0,0.0,0.0
|
| 299 |
+
297,Pick up cardboard cutout,0,4,0.0,0.0,0.0
|
| 300 |
+
298,Walk with cardboard cutout,0,0,0.0,0.0,0.0
|
| 301 |
+
299,Finish placing cardboard cutouts,0,1,0.0,0.0,0.0
|
| 302 |
+
300,Approach workstation,0,0,0.0,0.0,0.0
|
| 303 |
+
301,Organize tools and materials,0,0,0.0,0.0,0.0
|
| 304 |
+
302,Cut cardboard triangle,0,0,0.0,0.0,0.0
|
| 305 |
+
303,Holding marker,0,0,0.0,0.0,0.0
|
| 306 |
+
304,Lift utility knife,0,0,0.0,0.0,0.0
|
| 307 |
+
305,Fold cut cardboard,0,0,0.0,0.0,0.0
|
| 308 |
+
306,Look away,0,1,0.0,0.0,0.0
|
| 309 |
+
307,Resume cutting cardboard,0,3,0.0,0.0,0.0
|
| 310 |
+
308,Inspect cardboard piece,0,0,0.0,0.0,0.0
|
| 311 |
+
309,Position cardboard piece,0,0,0.0,0.0,0.0
|
| 312 |
+
310,Cut cardboard strip,0,0,0.0,0.0,0.0
|
| 313 |
+
311,Move cardboard piece,0,2,0.0,0.0,0.0
|
| 314 |
+
312,Hold cardboard strip,0,0,0.0,0.0,0.0
|
| 315 |
+
313,Position cardboard strip,0,0,0.0,0.0,0.0
|
| 316 |
+
314,Inspect cardboard strip,0,0,0.0,0.0,0.0
|
| 317 |
+
315,Pick up cut cardboard piece,0,2,0.0,0.0,0.0
|
| 318 |
+
316,Move cardboard to pile,0,0,0.0,0.0,0.0
|
| 319 |
+
317,Pick up cardboard,0,0,0.0,0.0,0.0
|
| 320 |
+
318,Reposition scissors,0,0,0.0,0.0,0.0
|
| 321 |
+
319,Align cardboard piece,0,0,0.0,0.0,0.0
|
| 322 |
+
320,Fold cardboard sheet,0,3,0.0,0.0,0.0
|
| 323 |
+
321,Complete the cut,0,4,0.0,0.0,0.0
|
| 324 |
+
322,Put down utility knife,0,12,0.0,0.0,0.0
|
| 325 |
+
323,Fold cardboard,0,0,0.0,0.0,0.0
|
| 326 |
+
324,Hold utility knife,0,4,0.0,0.0,0.0
|
| 327 |
+
325,Pick up cardboard strip,0,1,0.0,0.0,0.0
|
| 328 |
+
326,Place cardboard strip,0,2,0.0,0.0,0.0
|
| 329 |
+
327,Place cans into box,0,0,0.0,0.0,0.0
|
| 330 |
+
328,Arrange cans in box,0,0,0.0,0.0,0.0
|
| 331 |
+
329,Pick up can,9,0,0.0,0.0,0.0
|
| 332 |
+
330,Reach for can,0,0,0.0,0.0,0.0
|
| 333 |
+
331,Arrange cans on shelf,0,2,0.0,0.0,0.0
|
| 334 |
+
332,Reach for additional items,0,3,0.0,0.0,0.0
|
| 335 |
+
333,Reach for container,0,3,0.0,0.0,0.0
|
| 336 |
+
334,Adjust position,0,1,0.0,0.0,0.0
|
| 337 |
+
335,Prepare to pick up item,0,0,0.0,0.0,0.0
|
| 338 |
+
336,Place container in bin,0,1,0.0,0.0,0.0
|
| 339 |
+
337,Adjust cans in bin,0,0,0.0,0.0,0.0
|
| 340 |
+
338,Hold and inspect can,0,7,0.0,0.0,0.0
|
| 341 |
+
339,Adjust perspective,0,0,0.0,0.0,0.0
|
| 342 |
+
340,Inspect shelf and organize stock,0,0,0.0,0.0,0.0
|
| 343 |
+
341,Picking up stock,0,0,0.0,0.0,0.0
|
| 344 |
+
342,Placing stock on shelf,0,7,0.0,0.0,0.0
|
| 345 |
+
343,Hold small product bag,0,10,0.0,0.0,0.0
|
| 346 |
+
344,Reach for shelving divider,0,1,0.0,0.0,0.0
|
| 347 |
+
345,Position shelving divider,0,2,0.0,0.0,0.0
|
| 348 |
+
346,Move away from shelf,0,0,0.0,0.0,0.0
|
| 349 |
+
347,Pick up container,0,5,0.0,0.0,0.0
|
| 350 |
+
348,Carry container,0,0,0.0,0.0,0.0
|
| 351 |
+
349,Rearrange shelf item,0,2,0.0,0.0,0.0
|
| 352 |
+
350,Pick up cleaning cloth,0,1,0.0,0.0,0.0
|
| 353 |
+
351,Pick up product box,0,4,0.0,0.0,0.0
|
| 354 |
+
352,Place box on shelf,0,8,0.0,0.0,0.0
|
| 355 |
+
353,Place plush toy on shelf,0,2,0.0,0.0,0.0
|
| 356 |
+
354,Adjust placement on shelf,0,3,0.0,0.0,0.0
|
| 357 |
+
355,Move plush toy,0,3,0.0,0.0,0.0
|
| 358 |
+
356,Reach for product on shelf,0,1,0.0,0.0,0.0
|
| 359 |
+
357,Arrange cardboard,0,0,0.0,0.0,0.0
|
| 360 |
+
358,Place marker down,0,2,0.0,0.0,0.0
|
| 361 |
+
359,Pick up marker,0,0,0.0,0.0,0.0
|
| 362 |
+
360,Walk with marker,0,0,0.0,0.0,0.0
|
| 363 |
+
361,Pick up small object,0,0,0.0,0.0,0.0
|
| 364 |
+
362,Walk across room,0,0,0.0,0.0,0.0
|
| 365 |
+
363,Place cardboard square on stack,0,0,0.0,0.0,0.0
|
| 366 |
+
364,Arrange cardboard squares,0,0,0.0,0.0,0.0
|
| 367 |
+
365,Stacking cardboard squares,0,0,0.0,0.0,0.0
|
| 368 |
+
366,Positioning cardboard on workspace,0,0,0.0,0.0,0.0
|
| 369 |
+
367,Stacking cardboard square,0,0,0.0,0.0,0.0
|
| 370 |
+
368,Stack cardboard square,0,0,0.0,0.0,0.0
|
| 371 |
+
369,Stack cardboard squares,0,0,0.0,0.0,0.0
|
| 372 |
+
370,Sorting paper stars,0,0,0.0,0.0,0.0
|
| 373 |
+
371,Place star,0,0,0.0,0.0,0.0
|
| 374 |
+
372,Sort paper star,0,0,0.0,0.0,0.0
|
| 375 |
+
373,Sort paper stars,0,7,0.0,0.0,0.0
|
| 376 |
+
374,Place paper star,0,0,0.0,0.0,0.0
|
| 377 |
+
375,Stop sorting stars,0,5,0.0,0.0,0.0
|
| 378 |
+
376,Walk away,0,0,0.0,0.0,0.0
|
| 379 |
+
377,Open door,0,0,0.0,0.0,0.0
|
| 380 |
+
378,Walk through doorway,0,4,0.0,0.0,0.0
|
| 381 |
+
379,Pick up object,0,0,0.0,0.0,0.0
|
| 382 |
+
380,Place item on table,0,1,0.0,0.0,0.0
|
| 383 |
+
381,Move phone,33,0,0.0,0.0,0.0
|
| 384 |
+
382,Pick up paper star,0,2,0.0,0.0,0.0
|
| 385 |
+
383,Sort and place paper star,0,0,0.0,0.0,0.0
|
| 386 |
+
384,Place knife down,0,0,0.0,0.0,0.0
|
| 387 |
+
385,Pick up utility knife,15,0,0.0,0.0,0.0
|
| 388 |
+
386,Align cardboard strip,0,0,0.0,0.0,0.0
|
| 389 |
+
387,Hold cardboard with ruler,0,0,0.0,0.0,0.0
|
| 390 |
+
388,Move utility knife along ruler,0,0,0.0,0.0,0.0
|
| 391 |
+
389,Slide utility knife along ruler,0,0,0.0,0.0,0.0
|
| 392 |
+
390,Guide utility knife along ruler,0,0,0.0,0.0,0.0
|
| 393 |
+
391,Draw line on cardboard,0,0,0.0,0.0,0.0
|
| 394 |
+
392,Marking lines on cardboard,0,0,0.0,0.0,0.0
|
| 395 |
+
393,Hold craft tool,0,17,0.0,0.0,0.0
|
| 396 |
+
394,Approach table,0,3,0.0,0.0,0.0
|
| 397 |
+
395,Place tool on table,0,2,0.0,0.0,0.0
|
| 398 |
+
396,Move hand toward craft materials,0,20,0.0,0.0,0.0
|
| 399 |
+
397,Arrange paper strips,0,2,0.0,0.0,0.0
|
| 400 |
+
398,Manipulate paper strips,0,30,0.0,0.0,0.0
|
| 401 |
+
399,Pick up blue paper strip,0,2,0.0,0.0,0.0
|
| 402 |
+
400,Hold and bend paper strip,0,1,0.0,0.0,0.0
|
| 403 |
+
401,Hold small object,0,1,0.0,0.0,0.0
|
| 404 |
+
402,Place down strip,0,5,0.0,0.0,0.0
|
| 405 |
+
403,Move hand away from workspace,0,3,0.0,0.0,0.0
|
| 406 |
+
404,Observe workspace,9,10,0.0,0.0,0.0
|
| 407 |
+
405,Place puzzle piece,21,80,0.0125,0.047619047619047616,0.019801980198019806
|
| 408 |
+
406,Release puzzle piece,7,6,0.0,0.0,0.0
|
| 409 |
+
407,Scan for next piece,0,19,0.0,0.0,0.0
|
| 410 |
+
408,Search for puzzle piece,22,1,0.0,0.0,0.0
|
| 411 |
+
409,Positioning puzzle piece,0,11,0.0,0.0,0.0
|
| 412 |
+
410,Manipulate puzzle pieces,36,27,0.0,0.0,0.0
|
| 413 |
+
411,Move puzzle piece,0,8,0.0,0.0,0.0
|
| 414 |
+
412,Adjust puzzle piece,15,131,0.11450381679389313,1.0,0.2054794520547945
|
| 415 |
+
413,Adjusting puzzle piece,0,4,0.0,0.0,0.0
|
| 416 |
+
414,Adjusting a puzzle piece,0,0,0.0,0.0,0.0
|
| 417 |
+
415,Draw line along ruler,0,0,0.0,0.0,0.0
|
| 418 |
+
416,Reposition ruler,0,0,0.0,0.0,0.0
|
| 419 |
+
417,Lift pen and shift ruler,0,0,0.0,0.0,0.0
|
| 420 |
+
418,Hold ruler and pen steady,0,0,0.0,0.0,0.0
|
| 421 |
+
419,Moving ruler,0,1,0.0,0.0,0.0
|
| 422 |
+
420,Mark lines on cardboard,0,0,0.0,0.0,0.0
|
| 423 |
+
421,Cap marker,0,2,0.0,0.0,0.0
|
| 424 |
+
422,Walk across the room,0,0,0.0,0.0,0.0
|
| 425 |
+
423,Approach packing area,0,0,0.0,0.0,0.0
|
| 426 |
+
424,Pack beads into box,0,1,0.0,0.0,0.0
|
| 427 |
+
425,Pick up beads,0,0,0.0,0.0,0.0
|
| 428 |
+
426,Deposit beads into box,0,0,0.0,0.0,0.0
|
| 429 |
+
427,Pick up cardboard tray,0,0,0.0,0.0,0.0
|
| 430 |
+
428,Move tray towards packing area,0,1,0.0,0.0,0.0
|
| 431 |
+
429,Reach for beads,0,35,0.0,0.0,0.0
|
| 432 |
+
430,Position cardboard tray,0,1,0.0,0.0,0.0
|
| 433 |
+
431,Hold beads,19,0,0.0,0.0,0.0
|
| 434 |
+
432,Combine bead piles,0,0,0.0,0.0,0.0
|
| 435 |
+
433,Cut light green fabric,0,0,0.0,0.0,0.0
|
| 436 |
+
434,Continue cutting fabric,0,1,0.0,0.0,0.0
|
| 437 |
+
435,Cut fabric with scissors,0,1,0.0,0.0,0.0
|
| 438 |
+
436,Adjusting fabric for cutting,0,0,0.0,0.0,0.0
|
| 439 |
+
437,Adjusting fabric position,0,0,0.0,0.0,0.0
|
| 440 |
+
438,Cutting fabric,0,0,0.0,0.0,0.0
|
| 441 |
+
439,Mark fabric with pen,0,0,0.0,0.0,0.0
|
| 442 |
+
440,Mark fabric,0,3,0.0,0.0,0.0
|
| 443 |
+
441,Mark fabric with pen and ruler,0,0,0.0,0.0,0.0
|
| 444 |
+
442,Pick up new cardboard piece,21,0,0.0,0.0,0.0
|
| 445 |
+
443,Gather cardboard pieces,0,1,0.0,0.0,0.0
|
| 446 |
+
444,Carry cardboard piece,0,0,0.0,0.0,0.0
|
| 447 |
+
445,Pick up electronic accessory from box,0,0,0.0,0.0,0.0
|
| 448 |
+
446,Hold electronic accessory,0,0,0.0,0.0,0.0
|
| 449 |
+
447,Place accessory on shelf,0,0,0.0,0.0,0.0
|
| 450 |
+
448,Pick up accessory,0,0,0.0,0.0,0.0
|
| 451 |
+
449,Reach towards shelf,0,0,0.0,0.0,0.0
|
| 452 |
+
450,Pick up electronic accessory,0,0,0.0,0.0,0.0
|
| 453 |
+
451,Place accessory into box,0,0,0.0,0.0,0.0
|
| 454 |
+
452,Place accessory box,0,0,0.0,0.0,0.0
|
| 455 |
+
453,Pick up new electronic product,0,0,0.0,0.0,0.0
|
| 456 |
+
454,Pick up electronic product,0,0,0.0,0.0,0.0
|
| 457 |
+
455,Release product on shelf,0,0,0.0,0.0,0.0
|
| 458 |
+
456,Move hand back to box,0,0,0.0,0.0,0.0
|
| 459 |
+
457,Pick up new product from box,0,0,0.0,0.0,0.0
|
| 460 |
+
458,Move product towards shelf,0,0,0.0,0.0,0.0
|
| 461 |
+
459,Pick up shopping bag,0,0,0.0,0.0,0.0
|
| 462 |
+
460,Walk with shopping bag,0,0,0.0,0.0,0.0
|
| 463 |
+
461,Pick up item from box,0,0,0.0,0.0,0.0
|
| 464 |
+
462,Move to shelf,7,0,0.0,0.0,0.0
|
| 465 |
+
463,Move towards box,0,4,0.0,0.0,0.0
|
| 466 |
+
464,Hold items,0,6,0.0,0.0,0.0
|
| 467 |
+
465,Place items on shelf,0,5,0.0,0.0,0.0
|
| 468 |
+
466,Move to box,0,1,0.0,0.0,0.0
|
| 469 |
+
467,Move box to next position,0,6,0.0,0.0,0.0
|
| 470 |
+
468,Grasp snack package,0,0,0.0,0.0,0.0
|
| 471 |
+
469,Hold snack package,0,0,0.0,0.0,0.0
|
| 472 |
+
470,Place snack package on shelf,0,0,0.0,0.0,0.0
|
| 473 |
+
471,Place snack package in box,0,0,0.0,0.0,0.0
|
| 474 |
+
472,Place snack in box,0,7,0.0,0.0,0.0
|
| 475 |
+
473,Hold snack packages,0,0,0.0,0.0,0.0
|
| 476 |
+
474,Place snack packages on shelf,0,12,0.0,0.0,0.0
|
| 477 |
+
475,Pick up snack packages,0,5,0.0,0.0,0.0
|
| 478 |
+
476,Walk towards shelves,13,6,0.0,0.0,0.0
|
| 479 |
+
477,Pick up snack package,0,0,0.0,0.0,0.0
|
| 480 |
+
478,Organize snacks in box,0,0,0.0,0.0,0.0
|
| 481 |
+
479,Reach for snack package,0,3,0.0,0.0,0.0
|
| 482 |
+
480,Adjust snack package,0,5,0.0,0.0,0.0
|
| 483 |
+
481,Open cardboard box,0,1,0.0,0.0,0.0
|
| 484 |
+
482,Remove cardboard flap,0,0,0.0,0.0,0.0
|
| 485 |
+
483,Align plastic containers,0,0,0.0,0.0,0.0
|
| 486 |
+
484,Reach for items,0,0,0.0,0.0,0.0
|
| 487 |
+
485,Adjust containers on shelf,0,0,0.0,0.0,0.0
|
| 488 |
+
486,Adjust container position,0,0,0.0,0.0,0.0
|
| 489 |
+
487,Withdraw hand,0,0,0.0,0.0,0.0
|
| 490 |
+
488,Place container on shelf,0,1,0.0,0.0,0.0
|
| 491 |
+
489,Pick up item from shelf,0,0,0.0,0.0,0.0
|
| 492 |
+
490,Place item in shopping bag,0,2,0.0,0.0,0.0
|
| 493 |
+
491,Reach for item,0,0,0.0,0.0,0.0
|
| 494 |
+
492,Grasp item,0,0,0.0,0.0,0.0
|
| 495 |
+
493,Move item to bag,0,0,0.0,0.0,0.0
|
| 496 |
+
494,Organize item on shelf,0,0,0.0,0.0,0.0
|
| 497 |
+
495,Pick up plush toy,0,0,0.0,0.0,0.0
|
| 498 |
+
496,Place plush toy into bag,0,2,0.0,0.0,0.0
|
| 499 |
+
497,Grasp shopping bag,0,0,0.0,0.0,0.0
|
| 500 |
+
498,Prepare to place item in bag,0,0,0.0,0.0,0.0
|
| 501 |
+
499,Organize bag contents,0,0,0.0,0.0,0.0
|
| 502 |
+
500,Grasp and retrieve item,0,0,0.0,0.0,0.0
|
| 503 |
+
501,Place item into shopping bag,0,0,0.0,0.0,0.0
|
| 504 |
+
502,Sort star-shaped beads,14,0,0.0,0.0,0.0
|
| 505 |
+
503,Sort beads on the table,0,0,0.0,0.0,0.0
|
| 506 |
+
504,Sort beads on table,0,0,0.0,0.0,0.0
|
| 507 |
+
505,Hold instructional sign,0,16,0.0,0.0,0.0
|
| 508 |
+
506,Pick up star-shaped bead,0,1,0.0,0.0,0.0
|
| 509 |
+
507,Place bead on table,0,3,0.0,0.0,0.0
|
| 510 |
+
508,Reposition sign and organize beads,0,3,0.0,0.0,0.0
|
| 511 |
+
509,Reposition ruler and pen,0,0,0.0,0.0,0.0
|
| 512 |
+
510,Reposition pen and prepare for next line,0,0,0.0,0.0,0.0
|
| 513 |
+
511,Place pen on cardboard,0,0,0.0,0.0,0.0
|
| 514 |
+
512,Draw straight lines on cardboard,0,0,0.0,0.0,0.0
|
| 515 |
+
513,Draw lines with ruler,0,0,0.0,0.0,0.0
|
| 516 |
+
514,Draw lines with pen and ruler,0,0,0.0,0.0,0.0
|
| 517 |
+
515,Sort origami stars,0,0,0.0,0.0,0.0
|
| 518 |
+
516,Walk in hallway,0,0,0.0,0.0,0.0
|
| 519 |
+
517,Reach for stars,0,0,0.0,0.0,0.0
|
| 520 |
+
518,Walk towards desk,0,0,0.0,0.0,0.0
|
| 521 |
+
519,Grasp origami stars,0,0,0.0,0.0,0.0
|
| 522 |
+
520,Place stars in container,0,0,0.0,0.0,0.0
|
| 523 |
+
521,Sort light blue origami stars,0,0,0.0,0.0,0.0
|
| 524 |
+
522,Sort origami stars by color,0,0,0.0,0.0,0.0
|
| 525 |
+
523,Move origami stars,0,0,0.0,0.0,0.0
|
| 526 |
+
524,Adjust cardboard divider,0,1,0.0,0.0,0.0
|
| 527 |
+
525,Use smartphone,70,1,0.0,0.0,0.0
|
| 528 |
+
526,Put down phone,0,5,0.0,0.0,0.0
|
| 529 |
+
527,Pick up water bottle,0,0,0.0,0.0,0.0
|
| 530 |
+
528,Hold water bottle,0,3,0.0,0.0,0.0
|
| 531 |
+
529,Place water bottle on table,0,1,0.0,0.0,0.0
|
| 532 |
+
530,Hold phone,0,0,0.0,0.0,0.0
|
| 533 |
+
531,Hold and view phone,0,43,0.0,0.0,0.0
|
| 534 |
+
532,Cut cardboard pieces with scissors,0,2,0.0,0.0,0.0
|
| 535 |
+
533,Vacuum the carpet,0,0,0.0,0.0,0.0
|
| 536 |
+
534,Push vacuum cleaner,0,0,0.0,0.0,0.0
|
| 537 |
+
535,Adjust vacuum cleaner position,0,0,0.0,0.0,0.0
|
| 538 |
+
536,Vacuuming carpet edge,0,0,0.0,0.0,0.0
|
| 539 |
+
537,Vacuum edge of carpet,0,0,0.0,0.0,0.0
|
| 540 |
+
538,Vacuuming carpet corner,0,2,0.0,0.0,0.0
|
| 541 |
+
539,Vacuuming the carpet edge,0,0,0.0,0.0,0.0
|
| 542 |
+
540,Move vacuum cleaner,0,0,0.0,0.0,0.0
|
| 543 |
+
541,Vacuuming along the wall edge,0,0,0.0,0.0,0.0
|
| 544 |
+
542,Fold paper strip into star,0,0,0.0,0.0,0.0
|
| 545 |
+
543,Place finished star on table,0,5,0.0,0.0,0.0
|
| 546 |
+
544,Arrange Mahjong tiles,0,0,0.0,0.0,0.0
|
| 547 |
+
545,Rearrange Mahjong tiles,0,0,0.0,0.0,0.0
|
| 548 |
+
546,Adjust Mahjong tiles,0,0,0.0,0.0,0.0
|
| 549 |
+
547,Reach for Mahjong tiles,0,0,0.0,0.0,0.0
|
| 550 |
+
548,Rearrange Mahjong tile,0,0,0.0,0.0,0.0
|
| 551 |
+
549,Adjust Mahjong tile,0,0,0.0,0.0,0.0
|
| 552 |
+
550,Align Mahjong tiles,0,0,0.0,0.0,0.0
|
| 553 |
+
551,Move Mahjong tile,0,0,0.0,0.0,0.0
|
| 554 |
+
552,Realign Mahjong tiles,0,4,0.0,0.0,0.0
|
| 555 |
+
553,Cut cardboard square,0,0,0.0,0.0,0.0
|
| 556 |
+
554,Trim cardboard piece,0,0,0.0,0.0,0.0
|
| 557 |
+
555,Pick up food item,0,2,0.0,0.0,0.0
|
| 558 |
+
556,Pick up cereal boxes,0,5,0.0,0.0,0.0
|
| 559 |
+
557,Carry cereal boxes,0,2,0.0,0.0,0.0
|
| 560 |
+
558,Carry cereal towards aisle,0,6,0.0,0.0,0.0
|
| 561 |
+
559,Pick up pasta box,0,8,0.0,0.0,0.0
|
| 562 |
+
560,Carry pasta box towards aisle,0,5,0.0,0.0,0.0
|
| 563 |
+
561,Pick up container from box,0,2,0.0,0.0,0.0
|
| 564 |
+
562,Hold container,0,288,0.0,0.0,0.0
|
| 565 |
+
563,Reach for items in box,0,0,0.0,0.0,0.0
|
| 566 |
+
564,Pick up grocery item,0,4,0.0,0.0,0.0
|
| 567 |
+
565,Carry item to shelf,0,3,0.0,0.0,0.0
|
| 568 |
+
566,Inspect shelf,0,1,0.0,0.0,0.0
|
| 569 |
+
567,Move to stock products,0,0,0.0,0.0,0.0
|
| 570 |
+
568,Pick up snack packs,0,0,0.0,0.0,0.0
|
| 571 |
+
569,Wipe shelf surface,0,4,0.0,0.0,0.0
|
| 572 |
+
570,Move to shelf base,0,2,0.0,0.0,0.0
|
| 573 |
+
571,Place snack on shelf,0,0,0.0,0.0,0.0
|
| 574 |
+
572,Retrieve snack from container,0,0,0.0,0.0,0.0
|
| 575 |
+
573,Pick up gift box,0,0,0.0,0.0,0.0
|
| 576 |
+
574,Place gift box into bin,0,0,0.0,0.0,0.0
|
| 577 |
+
575,Place gift box on shelf,0,0,0.0,0.0,0.0
|
| 578 |
+
576,Pick up next gift box,0,0,0.0,0.0,0.0
|
| 579 |
+
577,Pick up snack pouch,0,0,0.0,0.0,0.0
|
| 580 |
+
578,Place snack pouch in container,0,0,0.0,0.0,0.0
|
| 581 |
+
579,Reach for snack pouch,0,0,0.0,0.0,0.0
|
| 582 |
+
580,Place snack pouch on shelf,0,0,0.0,0.0,0.0
|
| 583 |
+
581,Move storage bin,0,0,0.0,0.0,0.0
|
| 584 |
+
582,Reach for shelf,0,0,0.0,0.0,0.0
|
| 585 |
+
583,Hold bin and move through aisle,0,0,0.0,0.0,0.0
|
| 586 |
+
584,Remove storage bin from shelf,0,0,0.0,0.0,0.0
|
| 587 |
+
585,Reach for empty shelf space,0,1,0.0,0.0,0.0
|
| 588 |
+
586,Grasp plastic bag on shelf,0,0,0.0,0.0,0.0
|
| 589 |
+
587,Remove plastic container from shelf,0,0,0.0,0.0,0.0
|
| 590 |
+
588,Arrange plastic containers,0,0,0.0,0.0,0.0
|
| 591 |
+
589,Remove plastic container from storage box,0,2,0.0,0.0,0.0
|
| 592 |
+
590,Retrieve another container,0,0,0.0,0.0,0.0
|
| 593 |
+
591,Arrange container on shelf,0,0,0.0,0.0,0.0
|
| 594 |
+
592,Hold smartphone,41,0,0.0,0.0,0.0
|
| 595 |
+
593,Place smartphone on desk,0,0,0.0,0.0,0.0
|
| 596 |
+
594,Reach for water bottle,0,0,0.0,0.0,0.0
|
| 597 |
+
595,Hold scissors,0,0,0.0,0.0,0.0
|
| 598 |
+
596,Cut newspaper,0,0,0.0,0.0,0.0
|
| 599 |
+
597,Continue cutting newspaper,0,0,0.0,0.0,0.0
|
| 600 |
+
598,Place scissors on table,0,0,0.0,0.0,0.0
|
| 601 |
+
599,Move scissors away,0,0,0.0,0.0,0.0
|
| 602 |
+
600,Place scissors down,0,0,0.0,0.0,0.0
|
| 603 |
+
601,Arrange tiles into row,0,0,0.0,0.0,0.0
|
| 604 |
+
602,Adjust tile row alignment,0,0,0.0,0.0,0.0
|
| 605 |
+
603,Adjust Mahjong tile alignment,0,0,0.0,0.0,0.0
|
| 606 |
+
604,Adjust Mahjong tile on the stack,0,0,0.0,0.0,0.0
|
| 607 |
+
605,Pick up Mahjong tile,0,0,0.0,0.0,0.0
|
| 608 |
+
606,Place Mahjong tile on the stack,0,0,0.0,0.0,0.0
|
| 609 |
+
607,Place Mahjong tile on stack,0,0,0.0,0.0,0.0
|
| 610 |
+
608,Sort Mahjong tiles,0,0,0.0,0.0,0.0
|
| 611 |
+
609,Hold ruler and draw line,0,0,0.0,0.0,0.0
|
| 612 |
+
610,Draw line,0,0,0.0,0.0,0.0
|
| 613 |
+
611,Mark lines with pen along ruler,0,0,0.0,0.0,0.0
|
| 614 |
+
612,Hold ruler and mark cardboard,0,0,0.0,0.0,0.0
|
| 615 |
+
613,Hold ruler and marker,0,0,0.0,0.0,0.0
|
| 616 |
+
614,Pick up charging case,0,2,0.0,0.0,0.0
|
| 617 |
+
615,Inspect charging case,0,2,0.0,0.0,0.0
|
| 618 |
+
616,Place charging case down,0,0,0.0,0.0,0.0
|
| 619 |
+
617,Hold paper strip,0,0,0.0,0.0,0.0
|
| 620 |
+
618,Place ruler on cardboard,0,1,0.0,0.0,0.0
|
| 621 |
+
619,Measure and mark cardboard,0,0,0.0,0.0,0.0
|
| 622 |
+
620,Hold and align cardboard,0,0,0.0,0.0,0.0
|
| 623 |
+
621,Reposition tools,0,1,0.0,0.0,0.0
|
| 624 |
+
622,Position cardboard tube,0,2,0.0,0.0,0.0
|
| 625 |
+
623,Cut cardboard strip with scissors,0,0,0.0,0.0,0.0
|
| 626 |
+
624,Position scissors for next cut,0,0,0.0,0.0,0.0
|
| 627 |
+
625,Scroll on smartphone,0,0,0.0,0.0,0.0
|
| 628 |
+
626,Tap smartphone screen,0,0,0.0,0.0,0.0
|
| 629 |
+
627,Scroll through photo gallery,0,0,0.0,0.0,0.0
|
| 630 |
+
628,Typing message on smartphone,0,0,0.0,0.0,0.0
|
| 631 |
+
629,Typing on smartphone,0,0,0.0,0.0,0.0
|
| 632 |
+
630,Tapping smartphone screen,0,0,0.0,0.0,0.0
|
| 633 |
+
631,Tapping on smartphone screen,0,2,0.0,0.0,0.0
|
| 634 |
+
632,Putting away smartphone,0,146,0.0,0.0,0.0
|
| 635 |
+
633,Stop measuring and put down tools,0,0,0.0,0.0,0.0
|
| 636 |
+
634,Positioning ruler on cardboard,0,1,0.0,0.0,0.0
|
| 637 |
+
635,Draw line with pen,0,0,0.0,0.0,0.0
|
| 638 |
+
636,Prepare to draw lines,0,3,0.0,0.0,0.0
|
| 639 |
+
637,Remove ruler and marker,0,0,0.0,0.0,0.0
|
| 640 |
+
638,Align ruler and mark cardboard,0,1,0.0,0.0,0.0
|
| 641 |
+
639,Walking through classroom,0,0,0.0,0.0,0.0
|
| 642 |
+
640,Assemble cardboard pieces,0,0,0.0,0.0,0.0
|
| 643 |
+
641,Move marker away,0,0,0.0,0.0,0.0
|
| 644 |
+
642,Arrange cardboard piece,0,0,0.0,0.0,0.0
|
| 645 |
+
643,Position ruler and mark cardboard,0,0,0.0,0.0,0.0
|
| 646 |
+
644,Place canned good on shelf,0,0,0.0,0.0,0.0
|
| 647 |
+
645,Move canned goods container,0,0,0.0,0.0,0.0
|
| 648 |
+
646,Position container near shelf,0,0,0.0,0.0,0.0
|
| 649 |
+
647,Adjust container on shelf,0,0,0.0,0.0,0.0
|
| 650 |
+
648,Pick up canned food,12,0,0.0,0.0,0.0
|
| 651 |
+
649,Place canned food in container,0,0,0.0,0.0,0.0
|
| 652 |
+
650,Adjust cans in container,0,0,0.0,0.0,0.0
|
| 653 |
+
651,Adjust cans in tray,0,0,0.0,0.0,0.0
|
| 654 |
+
652,Adjusting canned goods on shelf,0,0,0.0,0.0,0.0
|
| 655 |
+
653,Align canned goods on shelf,0,0,0.0,0.0,0.0
|
| 656 |
+
654,Place canned food on shelf,41,0,0.0,0.0,0.0
|
| 657 |
+
655,Reach for next canned food item,0,0,0.0,0.0,0.0
|
| 658 |
+
656,Wipe the plastic jar,0,204,0.0,0.0,0.0
|
| 659 |
+
657,Finish wiping and inspect jar,0,1,0.0,0.0,0.0
|
| 660 |
+
658,Inspect jar,0,7,0.0,0.0,0.0
|
| 661 |
+
659,Pick up tin can,0,0,0.0,0.0,0.0
|
| 662 |
+
660,Hold items and inspect shelf,0,64,0.0,0.0,0.0
|
| 663 |
+
661,Move cardboard,0,2,0.0,0.0,0.0
|
| 664 |
+
662,Stabilize cardboard,0,8,0.0,0.0,0.0
|
| 665 |
+
663,Stabilize ruler,0,2,0.0,0.0,0.0
|
| 666 |
+
664,Labeling cardboard squares,0,12,0.0,0.0,0.0
|
| 667 |
+
665,Moving cardboard square,0,3,0.0,0.0,0.0
|
| 668 |
+
666,Labeling cardboard square,0,30,0.0,0.0,0.0
|
| 669 |
+
667,Placing labeled square,0,2,0.0,0.0,0.0
|
| 670 |
+
668,Starting to label next square,0,7,0.0,0.0,0.0
|
| 671 |
+
669,Placing labeled cardboard square,0,0,0.0,0.0,0.0
|
| 672 |
+
670,Labeling cardboard piece,0,15,0.0,0.0,0.0
|
| 673 |
+
671,Switching marker,0,1,0.0,0.0,0.0
|
| 674 |
+
672,Reach for next piece,0,1,0.0,0.0,0.0
|
| 675 |
+
673,Marking cardboard with pen,0,3,0.0,0.0,0.0
|
| 676 |
+
674,Placing pen on table,0,3,0.0,0.0,0.0
|
| 677 |
+
675,Repositioning ruler and cardboard,0,0,0.0,0.0,0.0
|
| 678 |
+
676,Folding cardboard,0,0,0.0,0.0,0.0
|
| 679 |
+
677,Place cardboard piece on stack,0,27,0.0,0.0,0.0
|
| 680 |
+
678,Manipulate cardboard sheet,0,8,0.0,0.0,0.0
|
| 681 |
+
679,Arrange buttons on the table,0,19,0.0,0.0,0.0
|
| 682 |
+
680,Arrange buttons,33,26,0.9230769230769231,0.7272727272727273,0.8135593220338984
|
| 683 |
+
681,Sorting buttons,0,2,0.0,0.0,0.0
|
| 684 |
+
682,Sort orange buttons,0,68,0.0,0.0,0.0
|
| 685 |
+
683,Sort orange button,0,18,0.0,0.0,0.0
|
| 686 |
+
684,Move hand over button pile,0,0,0.0,0.0,0.0
|
| 687 |
+
685,Move orange buttons,0,24,0.0,0.0,0.0
|
| 688 |
+
686,Interact with smartphone,26,0,0.0,0.0,0.0
|
| 689 |
+
687,Arrange orange buttons,0,96,0.0,0.0,0.0
|
| 690 |
+
688,Pick up stapler,0,0,0.0,0.0,0.0
|
| 691 |
+
689,Drawing grid line with ruler,0,0,0.0,0.0,0.0
|
| 692 |
+
690,Drawing grid line with pen and ruler,0,0,0.0,0.0,0.0
|
| 693 |
+
691,Draw grid line with pen,0,0,0.0,0.0,0.0
|
| 694 |
+
692,Draw grid line,0,2,0.0,0.0,0.0
|
| 695 |
+
693,Drawing grid line,0,0,0.0,0.0,0.0
|
| 696 |
+
694,Manipulate paper star,0,5,0.0,0.0,0.0
|
| 697 |
+
695,Fold paper star,0,0,0.0,0.0,0.0
|
| 698 |
+
696,Sort purple beads,0,0,0.0,0.0,0.0
|
| 699 |
+
697,Write on paper,7,0,0.0,0.0,0.0
|
| 700 |
+
698,Move pen away,0,0,0.0,0.0,0.0
|
| 701 |
+
699,Gathering star beads,0,1,0.0,0.0,0.0
|
| 702 |
+
700,Sort beads by hand,0,7,0.0,0.0,0.0
|
| 703 |
+
701,Hold tray of canned goods,0,0,0.0,0.0,0.0
|
| 704 |
+
702,Position tray,0,0,0.0,0.0,0.0
|
| 705 |
+
703,Sort canned goods in tray,0,0,0.0,0.0,0.0
|
| 706 |
+
704,Carry crate of cans,0,0,0.0,0.0,0.0
|
| 707 |
+
705,Place crate on floor,0,0,0.0,0.0,0.0
|
| 708 |
+
706,Move can towards shelf,0,0,0.0,0.0,0.0
|
| 709 |
+
707,Wipe item,0,0,0.0,0.0,0.0
|
| 710 |
+
708,Place item back,0,0,0.0,0.0,0.0
|
| 711 |
+
709,Wipe retail item,0,0,0.0,0.0,0.0
|
| 712 |
+
710,Reach for retail item,0,0,0.0,0.0,0.0
|
| 713 |
+
711,Grasp retail item,0,0,0.0,0.0,0.0
|
| 714 |
+
712,Adjust retail items on shelf,0,0,0.0,0.0,0.0
|
| 715 |
+
713,Pick up retail item,0,0,0.0,0.0,0.0
|
| 716 |
+
714,Align and place retail item,0,0,0.0,0.0,0.0
|
| 717 |
+
715,Arrange items on shelf,0,0,0.0,0.0,0.0
|
| 718 |
+
716,Adjust retail item position,0,0,0.0,0.0,0.0
|
| 719 |
+
717,Pick up pink water bottle,0,2,0.0,0.0,0.0
|
| 720 |
+
718,Place down pink water bottle,0,7,0.0,0.0,0.0
|
| 721 |
+
719,Place star in row,0,1,0.0,0.0,0.0
|
| 722 |
+
720,Reach for star,0,0,0.0,0.0,0.0
|
| 723 |
+
721,Retrieve star,0,4,0.0,0.0,0.0
|
| 724 |
+
722,Pick up star,0,0,0.0,0.0,0.0
|
| 725 |
+
723,Hold recording sheet and pen,0,0,0.0,0.0,0.0
|
| 726 |
+
724,Record star count,0,0,0.0,0.0,0.0
|
| 727 |
+
725,Hold pen and paper,0,0,0.0,0.0,0.0
|
| 728 |
+
726,Observe surroundings,0,1,0.0,0.0,0.0
|
| 729 |
+
727,Observe paper and count objects,0,0,0.0,0.0,0.0
|
| 730 |
+
728,Write count on paper,16,5,0.0,0.0,0.0
|
| 731 |
+
729,Place pen on table,0,1,0.0,0.0,0.0
|
| 732 |
+
730,View content on smartphone,0,0,0.0,0.0,0.0
|
| 733 |
+
731,Place smartphone on table,0,2,0.0,0.0,0.0
|
| 734 |
+
732,Resume writing on paper,0,0,0.0,0.0,0.0
|
| 735 |
+
733,Place paper star in row,0,0,0.0,0.0,0.0
|
| 736 |
+
734,Manipulate star,0,0,0.0,0.0,0.0
|
| 737 |
+
735,Arrange paper stars,0,0,0.0,0.0,0.0
|
| 738 |
+
736,Manipulate paper stars,0,0,0.0,0.0,0.0
|
| 739 |
+
737,Cut cardboard grid,0,0,0.0,0.0,0.0
|
| 740 |
+
738,Pick up power bank,0,0,0.0,0.0,0.0
|
| 741 |
+
739,Pick up small item,0,0,0.0,0.0,0.0
|
| 742 |
+
740,Walking to sink,0,0,0.0,0.0,0.0
|
| 743 |
+
741,Washing hands,0,0,0.0,0.0,0.0
|
| 744 |
+
742,Rub hands together,0,0,0.0,0.0,0.0
|
| 745 |
+
743,Finish washing hands,0,0,0.0,0.0,0.0
|
| 746 |
+
744,Pick up paper towel,0,0,0.0,0.0,0.0
|
| 747 |
+
745,Dry hands,0,0,0.0,0.0,0.0
|
| 748 |
+
746,Discard paper towel,0,0,0.0,0.0,0.0
|
| 749 |
+
747,Begin folding paper strip,0,1,0.0,0.0,0.0
|
| 750 |
+
748,Fold paper strip into a star,0,0,0.0,0.0,0.0
|
| 751 |
+
749,Prepare paper strip,0,1,0.0,0.0,0.0
|
| 752 |
+
750,Place star on table,0,5,0.0,0.0,0.0
|
| 753 |
+
751,Fold lucky star,0,0,0.0,0.0,0.0
|
| 754 |
+
752,Manipulate folded paper star,0,2,0.0,0.0,0.0
|
| 755 |
+
753,Release paper star,0,1,0.0,0.0,0.0
|
| 756 |
+
754,Grasp paper strip,0,0,0.0,0.0,0.0
|
| 757 |
+
755,Sort colored tiles,0,0,0.0,0.0,0.0
|
| 758 |
+
756,Pick up colored tile,0,0,0.0,0.0,0.0
|
| 759 |
+
757,Place colored tile,0,0,0.0,0.0,0.0
|
| 760 |
+
758,Sort tiles,0,0,0.0,0.0,0.0
|
| 761 |
+
759,Sort tiles by color,0,0,0.0,0.0,0.0
|
| 762 |
+
760,Place phone on table,0,0,0.0,0.0,0.0
|
| 763 |
+
761,Write on notepad,0,72,0.0,0.0,0.0
|
| 764 |
+
762,Writing on notepad,0,22,0.0,0.0,0.0
|
| 765 |
+
763,Reaching for beads,0,7,0.0,0.0,0.0
|
| 766 |
+
764,Cut section from newspaper,0,0,0.0,0.0,0.0
|
| 767 |
+
765,Tear newspaper,0,0,0.0,0.0,0.0
|
| 768 |
+
766,Hold newspaper,0,0,0.0,0.0,0.0
|
| 769 |
+
767,Hold and align newspaper,0,0,0.0,0.0,0.0
|
| 770 |
+
768,Fold newspaper,0,0,0.0,0.0,0.0
|
| 771 |
+
769,Reposition newspaper,0,0,0.0,0.0,0.0
|
| 772 |
+
770,Cut along the edge of the newspaper,0,0,0.0,0.0,0.0
|
| 773 |
+
771,Cut along the newspaper edge,0,0,0.0,0.0,0.0
|
| 774 |
+
772,Browsing mobile phone,0,0,0.0,0.0,0.0
|
| 775 |
+
773,Browse mobile phone,0,0,0.0,0.0,0.0
|
| 776 |
+
774,Cut newspaper with scissors,0,0,0.0,0.0,0.0
|
| 777 |
+
775,Sort blue star-shaped pieces,0,2,0.0,0.0,0.0
|
| 778 |
+
776,Sort small plastic pieces,0,0,0.0,0.0,0.0
|
| 779 |
+
777,Reach for more pieces,0,1,0.0,0.0,0.0
|
| 780 |
+
778,Sort plastic pieces,0,0,0.0,0.0,0.0
|
| 781 |
+
779,Gather pieces,0,0,0.0,0.0,0.0
|
| 782 |
+
780,Move pieces into box,0,0,0.0,0.0,0.0
|
| 783 |
+
781,Gather pieces into box,0,0,0.0,0.0,0.0
|
| 784 |
+
782,Typing on phone,0,0,0.0,0.0,0.0
|
| 785 |
+
783,Scrolling or navigating on phone,0,0,0.0,0.0,0.0
|
| 786 |
+
784,Scrolling and viewing content on phone,0,0,0.0,0.0,0.0
|
| 787 |
+
785,Pick up charging cable,0,0,0.0,0.0,0.0
|
| 788 |
+
786,Hold electronic item,0,0,0.0,0.0,0.0
|
| 789 |
+
787,Pick up electronic item,0,0,0.0,0.0,0.0
|
| 790 |
+
788,Wipe electronic item,0,1,0.0,0.0,0.0
|
| 791 |
+
789,Inspect electronic item,0,0,0.0,0.0,0.0
|
| 792 |
+
790,Place item in bag,0,0,0.0,0.0,0.0
|
| 793 |
+
791,Select another item,0,0,0.0,0.0,0.0
|
| 794 |
+
792,Inspect smartphone box,0,0,0.0,0.0,0.0
|
| 795 |
+
793,Hold smartphone box,0,0,0.0,0.0,0.0
|
| 796 |
+
794,Examine product,0,0,0.0,0.0,0.0
|
| 797 |
+
795,Pick up canned item,0,5,0.0,0.0,0.0
|
| 798 |
+
796,Pick up another canned item,0,11,0.0,0.0,0.0
|
| 799 |
+
797,Carry plastic container,0,3,0.0,0.0,0.0
|
| 800 |
+
798,Place container on floor,0,7,0.0,0.0,0.0
|
| 801 |
+
799,Reach for another container,0,5,0.0,0.0,0.0
|
| 802 |
+
800,Place storage container on floor,0,7,0.0,0.0,0.0
|
| 803 |
+
801,Release container,0,2,0.0,0.0,0.0
|
| 804 |
+
802,Pick up storage container,0,3,0.0,0.0,0.0
|
| 805 |
+
803,Move container toward shelf,0,11,0.0,0.0,0.0
|
| 806 |
+
804,Position container on shelf,0,3,0.0,0.0,0.0
|
| 807 |
+
805,Remove lid from container,0,6,0.0,0.0,0.0
|
| 808 |
+
806,Pick up canned goods,0,2,0.0,0.0,0.0
|
| 809 |
+
807,Place canned goods in container,0,1,0.0,0.0,0.0
|
| 810 |
+
808,Pick up next product from bin,0,3,0.0,0.0,0.0
|
| 811 |
+
809,Reorganize bin contents,0,3,0.0,0.0,0.0
|
| 812 |
+
810,Move bin,0,184,0.0,0.0,0.0
|
| 813 |
+
811,Walking along the aisle,0,0,0.0,0.0,0.0
|
| 814 |
+
812,Observe stocking,0,0,0.0,0.0,0.0
|
| 815 |
+
813,Move plastic storage bin,0,0,0.0,0.0,0.0
|
| 816 |
+
814,Place canned food in bin,0,0,0.0,0.0,0.0
|
| 817 |
+
815,Hold container of canned food,0,0,0.0,0.0,0.0
|
| 818 |
+
816,Move towards aisle,0,0,0.0,0.0,0.0
|
| 819 |
+
817,Approach restocking supplies,0,0,0.0,0.0,0.0
|
| 820 |
+
818,Pick up plastic container,0,0,0.0,0.0,0.0
|
| 821 |
+
819,Move along the shelves,0,0,0.0,0.0,0.0
|
| 822 |
+
820,Move pineapple chips,0,0,0.0,0.0,0.0
|
| 823 |
+
821,Forming quilled paper shape,0,0,0.0,0.0,0.0
|
| 824 |
+
822,Manipulate quilled paper shape,0,0,0.0,0.0,0.0
|
| 825 |
+
823,Place quilled paper shape,0,5,0.0,0.0,0.0
|
| 826 |
+
824,Retrieve paper strip,0,0,0.0,0.0,0.0
|
| 827 |
+
825,Select paper strip,0,0,0.0,0.0,0.0
|
| 828 |
+
826,Manipulate quilled paper strips,0,0,0.0,0.0,0.0
|
| 829 |
+
827,Transition to standing position,0,0,0.0,0.0,0.0
|
| 830 |
+
828,Observe paper quilling station,0,0,0.0,0.0,0.0
|
| 831 |
+
829,Sort quilled paper pieces,0,0,0.0,0.0,0.0
|
| 832 |
+
830,Walk towards storage area,0,2,0.0,0.0,0.0
|
| 833 |
+
831,Hold device and cable,0,0,0.0,0.0,0.0
|
| 834 |
+
832,Move piece to pile,0,0,0.0,0.0,0.0
|
| 835 |
+
833,Manipulate quilled paper,0,1,0.0,0.0,0.0
|
| 836 |
+
834,Pick up and sort cardboard,0,0,0.0,0.0,0.0
|
| 837 |
+
835,Sort and arrange cardboard pieces,0,0,0.0,0.0,0.0
|
| 838 |
+
836,Move camera over surface,0,0,0.0,0.0,0.0
|
| 839 |
+
837,Observe sorting progress,0,1,0.0,0.0,0.0
|
| 840 |
+
838,Reach for cardboard piece,0,0,0.0,0.0,0.0
|
| 841 |
+
839,Lock phone,0,0,0.0,0.0,0.0
|
| 842 |
+
840,Sort and stack cardboard pieces,0,0,0.0,0.0,0.0
|
| 843 |
+
841,Mark list with pen,0,0,0.0,0.0,0.0
|
| 844 |
+
842,Mark paper list,0,0,0.0,0.0,0.0
|
| 845 |
+
843,Adjust bead piles,0,0,0.0,0.0,0.0
|
| 846 |
+
844,Sort blue beads,0,0,0.0,0.0,0.0
|
| 847 |
+
845,Move blue beads,0,1,0.0,0.0,0.0
|
| 848 |
+
846,Place down pen,0,1,0.0,0.0,0.0
|
| 849 |
+
847,Move away from desk,0,1,0.0,0.0,0.0
|
| 850 |
+
848,Walking through the office,0,0,0.0,0.0,0.0
|
| 851 |
+
849,Place controller on table,0,0,0.0,0.0,0.0
|
| 852 |
+
850,Resume sorting blue beads,0,0,0.0,0.0,0.0
|
| 853 |
+
851,Fold cardboard shape,0,4,0.0,0.0,0.0
|
| 854 |
+
852,Reach for cardboard box,0,5,0.0,0.0,0.0
|
| 855 |
+
853,Reach for object,0,12,0.0,0.0,0.0
|
| 856 |
+
854,Release cardboard shape,0,1,0.0,0.0,0.0
|
| 857 |
+
855,Reposition hands,0,0,0.0,0.0,0.0
|
| 858 |
+
856,Rolling paper strip,0,0,0.0,0.0,0.0
|
| 859 |
+
857,Finishing coil,0,1,0.0,0.0,0.0
|
| 860 |
+
858,Selecting new paper strip,0,5,0.0,0.0,0.0
|
| 861 |
+
859,Start folding paper strip,0,0,0.0,0.0,0.0
|
| 862 |
+
860,Folding paper strip,0,2,0.0,0.0,0.0
|
| 863 |
+
861,Positioning paper strip,0,8,0.0,0.0,0.0
|
| 864 |
+
862,Manipulate quilling paper,0,0,0.0,0.0,0.0
|
| 865 |
+
863,Grasp electronic object,0,1,0.0,0.0,0.0
|
| 866 |
+
864,Walk towards workspace,0,2,0.0,0.0,0.0
|
| 867 |
+
865,Interaction with coworker,0,0,0.0,0.0,0.0
|
| 868 |
+
866,Manipulate small object,0,3,0.0,0.0,0.0
|
| 869 |
+
867,Manipulate paper quilling piece,0,0,0.0,0.0,0.0
|
| 870 |
+
868,Hold quilled paper piece,0,3,0.0,0.0,0.0
|
| 871 |
+
869,Reach for paper strip,0,4,0.0,0.0,0.0
|
| 872 |
+
870,Pull paper strip,0,4,0.0,0.0,0.0
|
| 873 |
+
871,Hold and align paper strip,0,1,0.0,0.0,0.0
|
| 874 |
+
872,Hold and rotate paper strip,0,3,0.0,0.0,0.0
|
| 875 |
+
873,Marking cardboard piece,29,0,0.0,0.0,0.0
|
| 876 |
+
874,Hold and mark cardboard piece,0,0,0.0,0.0,0.0
|
| 877 |
+
875,Organize cardboard pieces,18,0,0.0,0.0,0.0
|
| 878 |
+
876,Walking towards workstation,0,0,0.0,0.0,0.0
|
| 879 |
+
877,Move to desk,0,0,0.0,0.0,0.0
|
| 880 |
+
878,Sort small objects,0,0,0.0,0.0,0.0
|
| 881 |
+
879,Gathering items,0,0,0.0,0.0,0.0
|
| 882 |
+
880,Place items on table,0,0,0.0,0.0,0.0
|
| 883 |
+
881,Gathering colored beads,0,0,0.0,0.0,0.0
|
| 884 |
+
882,Arrange beads by color,0,0,0.0,0.0,0.0
|
| 885 |
+
883,Sort star-shaped objects by color,0,0,0.0,0.0,0.0
|
| 886 |
+
884,Sort star-shaped objects,0,0,0.0,0.0,0.0
|
| 887 |
+
885,Sort yellow star-shaped objects,0,0,0.0,0.0,0.0
|
| 888 |
+
886,Sort purple star-shaped objects,0,0,0.0,0.0,0.0
|
| 889 |
+
887,View phone screen,0,1,0.0,0.0,0.0
|
| 890 |
+
888,Viewing phone screen,0,0,0.0,0.0,0.0
|
| 891 |
+
889,Placing phone down,0,1,0.0,0.0,0.0
|
| 892 |
+
890,Initiate star folding,0,0,0.0,0.0,0.0
|
| 893 |
+
891,Reach for canned food,0,0,0.0,0.0,0.0
|
| 894 |
+
892,Pick up yellow item,0,0,0.0,0.0,0.0
|
| 895 |
+
893,Hold blue product box,0,0,0.0,0.0,0.0
|
| 896 |
+
894,Inspect product,0,0,0.0,0.0,0.0
|
| 897 |
+
895,Clean shelf,0,0,0.0,0.0,0.0
|
| 898 |
+
896,Walk towards shelf,0,0,0.0,0.0,0.0
|
| 899 |
+
897,Select product from box,0,0,0.0,0.0,0.0
|
| 900 |
+
898,Wipe ketchup bottle,0,0,0.0,0.0,0.0
|
| 901 |
+
899,Place ketchup bottle on shelf,0,0,0.0,0.0,0.0
|
| 902 |
+
900,Prepare to place bottle on shelf,0,0,0.0,0.0,0.0
|
| 903 |
+
901,Draw line with marker,0,0,0.0,0.0,0.0
|
| 904 |
+
902,Draw straight line,0,0,0.0,0.0,0.0
|
| 905 |
+
903,Mark straight line,0,0,0.0,0.0,0.0
|
| 906 |
+
904,Move ruler and tools,0,0,0.0,0.0,0.0
|
| 907 |
+
905,Pick up small cardboard piece,0,0,0.0,0.0,0.0
|
| 908 |
+
906,Walk through office,0,0,0.0,0.0,0.0
|
| 909 |
+
907,Transition to cutting,0,0,0.0,0.0,0.0
|
| 910 |
+
908,Cut cardboard along line,0,0,0.0,0.0,0.0
|
| 911 |
+
909,Reposition hands and ruler,0,0,0.0,0.0,0.0
|
| 912 |
+
910,Align ruler with crease,0,0,0.0,0.0,0.0
|
| 913 |
+
911,Press fold,0,0,0.0,0.0,0.0
|
| 914 |
+
912,Cut cardboard strip with utility knife,0,0,0.0,0.0,0.0
|
| 915 |
+
913,Position utility knife on cardboard,0,0,0.0,0.0,0.0
|
| 916 |
+
914,Place smartphone on stand,4,0,0.0,0.0,0.0
|
| 917 |
+
915,Pick up dustpan,13,0,0.0,0.0,0.0
|
| 918 |
+
916,Move dustpan to side,10,0,0.0,0.0,0.0
|
| 919 |
+
917,Hold container lid,16,0,0.0,0.0,0.0
|
| 920 |
+
918,Move towards the stove,11,0,0.0,0.0,0.0
|
| 921 |
+
919,Open stove pot lid,16,0,0.0,0.0,0.0
|
| 922 |
+
920,Walking towards door,7,0,0.0,0.0,0.0
|
| 923 |
+
921,Closing the door,10,0,0.0,0.0,0.0
|
| 924 |
+
922,Picking up bottle,8,0,0.0,0.0,0.0
|
| 925 |
+
923,Wipe kitchen counter,9,0,0.0,0.0,0.0
|
| 926 |
+
924,Rinse cloth in sink,7,0,0.0,0.0,0.0
|
| 927 |
+
925,Move towards kitchen area,11,0,0.0,0.0,0.0
|
| 928 |
+
926,Place cloth on floor,6,0,0.0,0.0,0.0
|
| 929 |
+
927,Reach for cleaning supplies,13,0,0.0,0.0,0.0
|
| 930 |
+
928,Grasp cleaning bottle,10,0,0.0,0.0,0.0
|
| 931 |
+
929,Remove cleaning bottle,9,0,0.0,0.0,0.0
|
| 932 |
+
930,Washing hands in sink,5,0,0.0,0.0,0.0
|
| 933 |
+
931,Grasping cleaning cloth,11,0,0.0,0.0,0.0
|
| 934 |
+
932,Wiping countertop,8,0,0.0,0.0,0.0
|
| 935 |
+
933,Lift pot lid,6,0,0.0,0.0,0.0
|
| 936 |
+
934,Stir contents,9,0,0.0,0.0,0.0
|
| 937 |
+
935,Place lid back,5,0,0.0,0.0,0.0
|
| 938 |
+
936,Adjust pot position,7,0,0.0,0.0,0.0
|
| 939 |
+
937,Move pot,7,0,0.0,0.0,0.0
|
| 940 |
+
938,Place towel,13,0,0.0,0.0,0.0
|
| 941 |
+
939,Start cutting,3,0,0.0,0.0,0.0
|
| 942 |
+
940,Cut along the marked line,51,0,0.0,0.0,0.0
|
| 943 |
+
941,Reposition hand,7,0,0.0,0.0,0.0
|
| 944 |
+
942,Pick up item from bin,0,0,0.0,0.0,0.0
|
| 945 |
+
943,Pick up next item from bin,0,0,0.0,0.0,0.0
|
| 946 |
+
944,Hold item,0,0,0.0,0.0,0.0
|
| 947 |
+
945,Inspect and place item on shelf,0,0,0.0,0.0,0.0
|
| 948 |
+
946,Check smart watch,0,0,0.0,0.0,0.0
|
| 949 |
+
947,Pick up jar,0,0,0.0,0.0,0.0
|
| 950 |
+
948,Pick up sauce bottle,0,0,0.0,0.0,0.0
|
| 951 |
+
949,Place sauce bottle on shelf,0,0,0.0,0.0,0.0
|
| 952 |
+
950,Hold empty container,0,0,0.0,0.0,0.0
|
| 953 |
+
951,Assess shelf arrangement,0,0,0.0,0.0,0.0
|
| 954 |
+
952,Align foam piece,0,0,0.0,0.0,0.0
|
| 955 |
+
953,Press foam piece,0,0,0.0,0.0,0.0
|
| 956 |
+
954,Pick up bottle,0,0,0.0,0.0,0.0
|
| 957 |
+
955,Touch foam strip,0,0,0.0,0.0,0.0
|
| 958 |
+
956,Release foam strip,0,0,0.0,0.0,0.0
|
| 959 |
+
957,Observe craft layout,0,0,0.0,0.0,0.0
|
| 960 |
+
958,Reach for foam strips,0,0,0.0,0.0,0.0
|
| 961 |
+
959,Assemble foam strips,0,0,0.0,0.0,0.0
|
| 962 |
+
960,Adjust foam strip,0,0,0.0,0.0,0.0
|
| 963 |
+
961,Align foam strip,0,0,0.0,0.0,0.0
|
| 964 |
+
962,Attach foam strip,0,0,0.0,0.0,0.0
|
| 965 |
+
963,Curve foam strip into loop,0,0,0.0,0.0,0.0
|
| 966 |
+
964,Press ends of foam strip together,0,0,0.0,0.0,0.0
|
| 967 |
+
965,Position yellow foam piece on strip,0,0,0.0,0.0,0.0
|
| 968 |
+
966,Press foam piece to strip,0,0,0.0,0.0,0.0
|
| 969 |
+
967,Press foam strip,0,0,0.0,0.0,0.0
|
| 970 |
+
968,Fold foam piece,0,0,0.0,0.0,0.0
|
| 971 |
+
969,Pinch foam strips,0,0,0.0,0.0,0.0
|
| 972 |
+
970,Pull blue foam strip,0,0,0.0,0.0,0.0
|
| 973 |
+
971,Tear blue foam strip,0,0,0.0,0.0,0.0
|
| 974 |
+
972,Place blue foam piece,0,0,0.0,0.0,0.0
|
| 975 |
+
973,Pick up blue foam piece,0,0,0.0,0.0,0.0
|
| 976 |
+
974,Tear blue foam piece,0,0,0.0,0.0,0.0
|
| 977 |
+
975,Tear off blue foam piece,0,0,0.0,0.0,0.0
|
| 978 |
+
976,Hold foam pieces,0,0,0.0,0.0,0.0
|
| 979 |
+
977,Peel foam strip,0,0,0.0,0.0,0.0
|
| 980 |
+
978,Move small blue foam piece towards the strip,0,0,0.0,0.0,0.0
|
| 981 |
+
979,Align blue strip,0,0,0.0,0.0,0.0
|
| 982 |
+
980,Press blue strip,0,0,0.0,0.0,0.0
|
| 983 |
+
981,Position blue strip,0,0,0.0,0.0,0.0
|
| 984 |
+
982,Lift blue strip,0,0,0.0,0.0,0.0
|
| 985 |
+
983,Hold blue strip,0,0,0.0,0.0,0.0
|
| 986 |
+
984,Peel blue strip,0,0,0.0,0.0,0.0
|
| 987 |
+
985,Fold blue strip,0,0,0.0,0.0,0.0
|
| 988 |
+
986,Align paper strip,0,0,0.0,0.0,0.0
|
| 989 |
+
987,Interlock paper strips,0,0,0.0,0.0,0.0
|
| 990 |
+
988,Turn away from table,0,0,0.0,0.0,0.0
|
| 991 |
+
989,Pick up craft material,0,0,0.0,0.0,0.0
|
| 992 |
+
990,Attach material to paper strip,0,0,0.0,0.0,0.0
|
| 993 |
+
991,Pick up tool,0,0,0.0,0.0,0.0
|
| 994 |
+
992,Walk through the room,0,0,0.0,0.0,0.0
|
| 995 |
+
993,Walk down hallway,0,0,0.0,0.0,0.0
|
| 996 |
+
994,Enter workspace,0,0,0.0,0.0,0.0
|
| 997 |
+
995,Grasp door handle,0,0,0.0,0.0,0.0
|
| 998 |
+
996,Walk to table,0,0,0.0,0.0,0.0
|
| 999 |
+
997,Pick up supplies from box,0,0,0.0,0.0,0.0
|
| 1000 |
+
998,Enter the room,0,0,0.0,0.0,0.0
|
| 1001 |
+
999,Approach work table,0,0,0.0,0.0,0.0
|
| 1002 |
+
1000,Pull chair,0,0,0.0,0.0,0.0
|
| 1003 |
+
1001,Touch colleague's back,0,0,0.0,0.0,0.0
|
| 1004 |
+
1002,Position the chair,0,0,0.0,0.0,0.0
|
| 1005 |
+
1003,Observe and walk through store,16,0,0.0,0.0,0.0
|
| 1006 |
+
1004,Inspect shelf condition,23,0,0.0,0.0,0.0
|
| 1007 |
+
1005,Observe colleague and workspace,6,0,0.0,0.0,0.0
|
| 1008 |
+
1006,Approach boxes,11,0,0.0,0.0,0.0
|
| 1009 |
+
1007,Reach for wire hangers,10,0,0.0,0.0,0.0
|
| 1010 |
+
1008,Extract wire hangers from box,22,0,0.0,0.0,0.0
|
| 1011 |
+
1009,Bundle display hooks,22,0,0.0,0.0,0.0
|
| 1012 |
+
1010,Release hook,13,0,0.0,0.0,0.0
|
| 1013 |
+
1011,Walk towards other aisles,1,0,0.0,0.0,0.0
|
| 1014 |
+
1012,Move through aisle,15,0,0.0,0.0,0.0
|
| 1015 |
+
1013,Pick up items from the shopping bag,16,0,0.0,0.0,0.0
|
| 1016 |
+
1014,Place items on the shelf,12,0,0.0,0.0,0.0
|
| 1017 |
+
1015,Place marked piece down,15,0,0.0,0.0,0.0
|
| 1018 |
+
1016,Hold cardboard piece,14,0,0.0,0.0,0.0
|
| 1019 |
+
1017,Release cardboard piece and gesture,17,0,0.0,0.0,0.0
|
| 1020 |
+
1018,Move marker and adjust hand,11,0,0.0,0.0,0.0
|
| 1021 |
+
1019,Identify next cardboard piece,17,0,0.0,0.0,0.0
|
| 1022 |
+
1020,Observe and pause,2,0,0.0,0.0,0.0
|
| 1023 |
+
1021,Gesturing,3,0,0.0,0.0,0.0
|
| 1024 |
+
1022,Resume observation,9,0,0.0,0.0,0.0
|
| 1025 |
+
1023,Release food item,0,0,0.0,0.0,0.0
|
| 1026 |
+
1024,Reach for and examine canned goods,0,0,0.0,0.0,0.0
|
| 1027 |
+
1025,Examine canned goods,0,0,0.0,0.0,0.0
|
| 1028 |
+
1026,Select and pick up a canned item,0,0,0.0,0.0,0.0
|
| 1029 |
+
1027,Place item back on shelf,0,0,0.0,0.0,0.0
|
| 1030 |
+
1028,Pick up Dior gift box,0,0,0.0,0.0,0.0
|
| 1031 |
+
1029,Inspect Dior gift box,0,0,0.0,0.0,0.0
|
| 1032 |
+
1030,Place back Dior gift box,0,0,0.0,0.0,0.0
|
| 1033 |
+
1031,Move along the shelf,0,0,0.0,0.0,0.0
|
| 1034 |
+
1032,Select a bottle,0,0,0.0,0.0,0.0
|
| 1035 |
+
1033,Place bottle back on shelf,0,0,0.0,0.0,0.0
|
| 1036 |
+
1034,Pick up another bottle,0,0,0.0,0.0,0.0
|
| 1037 |
+
1035,Release bottle,0,0,0.0,0.0,0.0
|
| 1038 |
+
1036,Inspect bottle,0,0,0.0,0.0,0.0
|
| 1039 |
+
1037,Inspect almond package,0,0,0.0,0.0,0.0
|
| 1040 |
+
1038,Scan supermarket shelves,0,0,0.0,0.0,0.0
|
| 1041 |
+
1039,Move along the supermarket aisle,0,0,0.0,0.0,0.0
|
| 1042 |
+
1040,Reach for canned goods,0,0,0.0,0.0,0.0
|
| 1043 |
+
1041,Touch canned goods,0,0,0.0,0.0,0.0
|
| 1044 |
+
1042,Pick up canned good,0,0,0.0,0.0,0.0
|
| 1045 |
+
1043,Manipulate cardboard shape,0,0,0.0,0.0,0.0
|
| 1046 |
+
1044,Hold small cardboard pieces,0,0,0.0,0.0,0.0
|
| 1047 |
+
1045,Prepare to place cardboard,0,0,0.0,0.0,0.0
|
| 1048 |
+
1046,Prepare to resume cutting,0,0,0.0,0.0,0.0
|
| 1049 |
+
1047,Reach for next can,20,0,0.0,0.0,0.0
|
| 1050 |
+
1048,Hold canned food,18,0,0.0,0.0,0.0
|
| 1051 |
+
1049,Retrieve next canned food item,16,0,0.0,0.0,0.0
|
| 1052 |
+
1050,Align canned food on shelf,16,0,0.0,0.0,0.0
|
| 1053 |
+
1051,Reach for next canned food,9,0,0.0,0.0,0.0
|
| 1054 |
+
1052,Retrieve canned food from box,10,0,0.0,0.0,0.0
|
| 1055 |
+
1053,Place another canned food on shelf,8,0,0.0,0.0,0.0
|
| 1056 |
+
1054,Adjust canned food on shelf,12,0,0.0,0.0,0.0
|
| 1057 |
+
1055,Move hand away from shelf,2,0,0.0,0.0,0.0
|
| 1058 |
+
1056,Move hand away,1,0,0.0,0.0,0.0
|
| 1059 |
+
1057,Hold earbud case,20,0,0.0,0.0,0.0
|
| 1060 |
+
1058,Open earbud case,7,0,0.0,0.0,0.0
|
| 1061 |
+
1059,sort craft materials,39,0,0.0,0.0,0.0
|
| 1062 |
+
1060,Manipulate craft piece,36,0,0.0,0.0,0.0
|
| 1063 |
+
1061,Manipulate craft paper strips,33,0,0.0,0.0,0.0
|
| 1064 |
+
1062,Operate smartphone,34,0,0.0,0.0,0.0
|
| 1065 |
+
1063,Release smartphone,13,0,0.0,0.0,0.0
|
| 1066 |
+
1064,Sort small craft pieces,39,0,0.0,0.0,0.0
|
| 1067 |
+
1065,Hold product package,0,0,0.0,0.0,0.0
|
| 1068 |
+
1066,Check phone,0,0,0.0,0.0,0.0
|
| 1069 |
+
1067,Hold charging cable,0,0,0.0,0.0,0.0
|
| 1070 |
+
1068,Retrieve items from bag,0,0,0.0,0.0,0.0
|
| 1071 |
+
1069,Hold items in hand,0,0,0.0,0.0,0.0
|
| 1072 |
+
1070,Hold and examine item,0,0,0.0,0.0,0.0
|
| 1073 |
+
1071,Remove item from bag,0,0,0.0,0.0,0.0
|
| 1074 |
+
1072,Pick up pack from shelf,0,0,0.0,0.0,0.0
|
| 1075 |
+
1073,fold purple ribbon,0,0,0.0,0.0,0.0
|
| 1076 |
+
1074,Fold ribbon,0,0,0.0,0.0,0.0
|
| 1077 |
+
1075,Hold small piece of ribbon,0,0,0.0,0.0,0.0
|
| 1078 |
+
1076,Position ribbon piece,0,0,0.0,0.0,0.0
|
| 1079 |
+
1077,Manipulate ribbon piece,0,0,0.0,0.0,0.0
|
| 1080 |
+
1078,Place ribbon onto project,0,0,0.0,0.0,0.0
|
| 1081 |
+
1079,Fold and manipulate ribbon,0,0,0.0,0.0,0.0
|
| 1082 |
+
1080,Manipulate ribbon knot,0,0,0.0,0.0,0.0
|
| 1083 |
+
1081,Secure ribbon with needle,0,0,0.0,0.0,0.0
|
| 1084 |
+
1082,Open paper lantern,25,0,0.0,0.0,0.0
|
| 1085 |
+
1083,Fold paper lantern,14,0,0.0,0.0,0.0
|
| 1086 |
+
1084,Grasp lantern,14,0,0.0,0.0,0.0
|
| 1087 |
+
1085,Grasp lantern component,13,0,0.0,0.0,0.0
|
| 1088 |
+
1086,Align paper lantern edges,29,0,0.0,0.0,0.0
|
| 1089 |
+
1087,Adjust lantern string,9,0,0.0,0.0,0.0
|
| 1090 |
+
1088,Release lantern,10,0,0.0,0.0,0.0
|
| 1091 |
+
1089,Pick up packaged paper lantern component,13,0,0.0,0.0,0.0
|
| 1092 |
+
1090,Handle paper lantern component,13,0,0.0,0.0,0.0
|
| 1093 |
+
1091,Open folded paper lantern,15,0,0.0,0.0,0.0
|
| 1094 |
+
1092,Adjust lantern shape,10,0,0.0,0.0,0.0
|
| 1095 |
+
1093,Hold paper lantern,14,0,0.0,0.0,0.0
|
| 1096 |
+
1094,Apply adhesive tape to lantern,15,0,0.0,0.0,0.0
|
| 1097 |
+
1095,Remove paper lantern part from packaging,13,0,0.0,0.0,0.0
|
| 1098 |
+
1096,Remove plastic packaging,12,0,0.0,0.0,0.0
|
| 1099 |
+
1097,Open paper lantern component,14,0,0.0,0.0,0.0
|
| 1100 |
+
1098,Expand paper lantern,20,0,0.0,0.0,0.0
|
| 1101 |
+
1099,Align edges of paper lantern,15,0,0.0,0.0,0.0
|
| 1102 |
+
1100,Mark cardboard with ruler,0,0,0.0,0.0,0.0
|
| 1103 |
+
1101,Cut along the line,0,0,0.0,0.0,0.0
|
| 1104 |
+
1102,Release cardboard,0,0,0.0,0.0,0.0
|
| 1105 |
+
1103,Reposition utility knife,0,0,0.0,0.0,0.0
|
| 1106 |
+
1104,Tear off cardboard segment,0,0,0.0,0.0,0.0
|
| 1107 |
+
1105,Browsing smartphone content,0,0,0.0,0.0,0.0
|
| 1108 |
+
1106,Manipulate small component,0,0,0.0,0.0,0.0
|
| 1109 |
+
1107,Manipulate component on strip,0,0,0.0,0.0,0.0
|
| 1110 |
+
1108,Place strip on table,0,0,0.0,0.0,0.0
|
| 1111 |
+
1109,Manipulate component,0,0,0.0,0.0,0.0
|
| 1112 |
+
1110,Reach for craft items,22,0,0.0,0.0,0.0
|
| 1113 |
+
1111,Sort craft items,12,0,0.0,0.0,0.0
|
| 1114 |
+
1112,Place hand on table,25,0,0.0,0.0,0.0
|
| 1115 |
+
1113,Browse smartphone screen,32,0,0.0,0.0,0.0
|
| 1116 |
+
1114,Scroll smartphone screen,32,0,0.0,0.0,0.0
|
| 1117 |
+
1115,Put down smartphone,24,0,0.0,0.0,0.0
|
| 1118 |
+
1116,Place smartphone down,23,0,0.0,0.0,0.0
|
| 1119 |
+
1117,Record count on notepad,0,0,0.0,0.0,0.0
|
| 1120 |
+
1118,Count and record paper stars,0,0,0.0,0.0,0.0
|
| 1121 |
+
1119,Record star count on paper,0,0,0.0,0.0,0.0
|
| 1122 |
+
1120,Pick up electronic device,0,0,0.0,0.0,0.0
|
| 1123 |
+
1121,Connect cable to device,0,0,0.0,0.0,0.0
|
| 1124 |
+
1122,Place device on lap,0,0,0.0,0.0,0.0
|
| 1125 |
+
1123,Count and arrange paper stars,0,0,0.0,0.0,0.0
|
| 1126 |
+
1124,Count paper stars,0,0,0.0,0.0,0.0
|
| 1127 |
+
1125,Move hand to paper stars,0,0,0.0,0.0,0.0
|
| 1128 |
+
1126,Resume counting stars,0,0,0.0,0.0,0.0
|
| 1129 |
+
1127,Reviewing count record,0,0,0.0,0.0,0.0
|
| 1130 |
+
1128,Write on paper record,0,0,0.0,0.0,0.0
|
| 1131 |
+
1129,Update paper record,0,0,0.0,0.0,0.0
|
| 1132 |
+
1130,Adjust cardboard,0,0,0.0,0.0,0.0
|
| 1133 |
+
1131,Set down scissors and pick up power bank,0,0,0.0,0.0,0.0
|
| 1134 |
+
1132,Reposition cardboard for cutting,0,0,0.0,0.0,0.0
|
| 1135 |
+
1133,Arrange cardboard pieces,0,0,0.0,0.0,0.0
|
| 1136 |
+
1134,Mark cardboard strip with pen,0,0,0.0,0.0,0.0
|
| 1137 |
+
1135,Pick up puzzle piece,20,0,0.0,0.0,0.0
|
| 1138 |
+
1136,Place piece into puzzle,22,0,0.0,0.0,0.0
|
| 1139 |
+
1137,Manipulate puzzle piece,31,0,0.0,0.0,0.0
|
| 1140 |
+
1138,Observe puzzle progress,27,0,0.0,0.0,0.0
|
| 1141 |
+
1139,Reach for puzzle piece,8,0,0.0,0.0,0.0
|
| 1142 |
+
1140,Attempt to fit puzzle piece,26,0,0.0,0.0,0.0
|
| 1143 |
+
1141,Sort puzzle pieces,35,0,0.0,0.0,0.0
|
| 1144 |
+
1142,Walking across the room,18,0,0.0,0.0,0.0
|
| 1145 |
+
1143,Approaching the table,13,0,0.0,0.0,0.0
|
| 1146 |
+
1144,Preparing to craft,10,0,0.0,0.0,0.0
|
| 1147 |
+
1145,Picking up crafting material,11,0,0.0,0.0,0.0
|
| 1148 |
+
1146,Pick up small piece of material,6,0,0.0,0.0,0.0
|
| 1149 |
+
1147,Manipulate material,14,0,0.0,0.0,0.0
|
| 1150 |
+
1148,Place material,13,0,0.0,0.0,0.0
|
| 1151 |
+
1149,Manipulate yellow strip,24,0,0.0,0.0,0.0
|
| 1152 |
+
1150,Manipulating paper strips,22,0,0.0,0.0,0.0
|
| 1153 |
+
1151,Manipulate bead,23,0,0.0,0.0,0.0
|
| 1154 |
+
1152,Manipulate beads,20,0,0.0,0.0,0.0
|
| 1155 |
+
1153,Use phone while crafting,9,0,0.0,0.0,0.0
|
| 1156 |
+
1154,Hold and manipulate paper strip,26,0,0.0,0.0,0.0
|
| 1157 |
+
1155,Repositioning ruler,0,0,0.0,0.0,0.0
|
| 1158 |
+
1156,Place down ruler and pen,0,0,0.0,0.0,0.0
|
| 1159 |
+
1157,Walk through hallway,0,0,0.0,0.0,0.0
|
| 1160 |
+
1158,Fold cardboard edge,0,0,0.0,0.0,0.0
|
| 1161 |
+
1159,Pick up cardboard square,0,0,0.0,0.0,0.0
|
| 1162 |
+
1160,Drop cardboard square into box,0,0,0.0,0.0,0.0
|
| 1163 |
+
1161,Retrieve hand to table,0,0,0.0,0.0,0.0
|
| 1164 |
+
1162,Pick up cardboard stack,0,0,0.0,0.0,0.0
|
| 1165 |
+
1163,Walk with cardboard,0,0,0.0,0.0,0.0
|
| 1166 |
+
1164,Deposit cardboard squares,0,0,0.0,0.0,0.0
|
| 1167 |
+
1165,Move away from collection box,0,0,0.0,0.0,0.0
|
| 1168 |
+
1166,Walking through office hallway,0,0,0.0,0.0,0.0
|
| 1169 |
+
1167,Approaching work table,0,0,0.0,0.0,0.0
|
| 1170 |
+
1168,Grasp cardboard sheet,0,0,0.0,0.0,0.0
|
| 1171 |
+
1169,Cut cardboard sheet with scissors,0,0,0.0,0.0,0.0
|
| 1172 |
+
1170,Set down utility knife,0,0,0.0,0.0,0.0
|
| 1173 |
+
1171,Sort cut cardboard,0,0,0.0,0.0,0.0
|
| 1174 |
+
1172,Prepare to cut cardboard,0,0,0.0,0.0,0.0
|
| 1175 |
+
1173,Cut cardboard sheet,0,0,0.0,0.0,0.0
|
| 1176 |
+
1174,Score cardboard,0,0,0.0,0.0,0.0
|
| 1177 |
+
1175,Place cardboard square,0,0,0.0,0.0,0.0
|
| 1178 |
+
1176,Sort buttons,26,0,0.0,0.0,0.0
|
| 1179 |
+
1177,Arrange buttons in a line,27,0,0.0,0.0,0.0
|
| 1180 |
+
1178,Sort and arrange buttons,33,0,0.0,0.0,0.0
|
| 1181 |
+
1179,Sort button,32,0,0.0,0.0,0.0
|
| 1182 |
+
1180,Sort and adjust button line,27,0,0.0,0.0,0.0
|
| 1183 |
+
1181,Sort and place buttons,31,0,0.0,0.0,0.0
|
| 1184 |
+
1182,Walking in the hallway,18,0,0.0,0.0,0.0
|
| 1185 |
+
1183,Approaching and pressing the door switch,21,0,0.0,0.0,0.0
|
| 1186 |
+
1184,Entering the VR training room,18,0,0.0,0.0,0.0
|
| 1187 |
+
1185,Greeting/acknowledging participants,24,0,0.0,0.0,0.0
|
| 1188 |
+
1186,Move through the training room,20,0,0.0,0.0,0.0
|
| 1189 |
+
1187,Manipulate plastic strips,28,0,0.0,0.0,0.0
|
| 1190 |
+
1188,Manipulate plastic strip,35,0,0.0,0.0,0.0
|
| 1191 |
+
1189,Hold and bend plastic strip,20,0,0.0,0.0,0.0
|
| 1192 |
+
1190,Bend and manipulate plastic strip,30,0,0.0,0.0,0.0
|
| 1193 |
+
1191,Fold plastic strip,58,0,0.0,0.0,0.0
|
| 1194 |
+
1192,Move cardboard sheet,0,0,0.0,0.0,0.0
|
| 1195 |
+
1193,Trim cardboard,0,0,0.0,0.0,0.0
|
| 1196 |
+
1194,Sort buttons by color,0,0,0.0,0.0,0.0
|
| 1197 |
+
1195,Sort button by color,0,0,0.0,0.0,0.0
|
| 1198 |
+
1196,Place button in group,0,0,0.0,0.0,0.0
|
| 1199 |
+
1197,Move away from table,0,0,0.0,0.0,0.0
|
| 1200 |
+
1198,Return to sorting,0,0,0.0,0.0,0.0
|
| 1201 |
+
1199,Manipulate paper decoration,44,0,0.0,0.0,0.0
|
| 1202 |
+
1200,Manipulate paper edge,35,0,0.0,0.0,0.0
|
| 1203 |
+
1201,Placing paper strip,41,0,0.0,0.0,0.0
|
| 1204 |
+
1202,Securing paper structure,35,0,0.0,0.0,0.0
|
| 1205 |
+
1203,Manipulate adhesive strip,46,0,0.0,0.0,0.0
|
| 1206 |
+
1204,Secure paper edges with adhesive,38,0,0.0,0.0,0.0
|
| 1207 |
+
1205,Record count,19,0,0.0,0.0,0.0
|
| 1208 |
+
1206,Sort beads and write count,17,0,0.0,0.0,0.0
|
| 1209 |
+
1207,Counting and organizing beads,19,0,0.0,0.0,0.0
|
| 1210 |
+
1208,Pick up star bead,11,0,0.0,0.0,0.0
|
| 1211 |
+
1209,Place and count bead,20,0,0.0,0.0,0.0
|
| 1212 |
+
1210,Arrange star beads,15,0,0.0,0.0,0.0
|
| 1213 |
+
1211,Counting star beads,16,0,0.0,0.0,0.0
|
| 1214 |
+
1212,Retrieving more beads,12,0,0.0,0.0,0.0
|
| 1215 |
+
1213,Adjust paper,11,0,0.0,0.0,0.0
|
| 1216 |
+
1214,Gather star beads,11,0,0.0,0.0,0.0
|
| 1217 |
+
1215,Arrange star beads for counting,14,0,0.0,0.0,0.0
|
| 1218 |
+
1216,Sort and count beads,19,0,0.0,0.0,0.0
|