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Browse files- PROJECT_README.md +3 -3
- TASK_METHOD_20_GAP_AUDIT.md +5 -7
- TASK_METHOD_20_RESULT_MATRIX.md +3 -3
- assets/charts/episode128_task_model_radar.svg +7 -5
- data/artifact_index.json +30 -30
- data/episode128_task_model_radar.json +44 -44
- data/mirror_parity.json +377 -227
- 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/single_episode_task_model_radar.json +1 -1
- data/source_alignment_audit.json +1 -1
- data/task_method_20_gap_audit.json +10 -38
- data/task_method_20_result_matrix.json +28 -28
- data/task_surface_integrity.json +1 -1
- data/unified_task_model_radar.json +51 -51
- data/website_integrity.json +14 -14
- docs/assets/charts/episode128_task_model_radar.svg +7 -5
- docs/assets/charts/unified_task_model_radar.svg +6 -4
- docs/data/artifact_index.json +30 -30
- docs/data/episode128_task_model_radar.json +44 -44
- docs/data/mirror_parity.json +377 -227
- docs/data/public_surface_qa.json +7 -7
- docs/data/quality_gates.json +1 -1
- docs/data/scope_claims_audit.json +1 -1
- docs/data/single_episode_task_model_radar.json +1 -1
- docs/data/source_alignment_audit.json +1 -1
- docs/data/task_method_20_gap_audit.json +10 -38
- docs/data/task_method_20_result_matrix.json +28 -28
- docs/data/task_surface_integrity.json +1 -1
- docs/data/unified_task_model_radar.json +51 -51
- docs/data/website_integrity.json +14 -14
- docs/index.html +4 -4
- index.html +4 -4
- results/omni_finetune/model_output_task_probes_20260616/RUN_REPORT.md +6 -6
- results/omni_finetune/model_output_task_probes_20260616/modality_reconstruction/cosmos3_nano_future_window/metrics.json +1 -1
- results/omni_finetune/model_output_task_probes_20260616/next_subtask_forecast/cosmos3_nano_future_window/metrics.json +130 -0
- results/omni_finetune/model_output_task_probes_20260616/next_subtask_forecast/cosmos3_nano_future_window/per_class_metrics.csv +95 -0
- scripts/build_artifact_index.py +1 -1
- scripts/build_unified_task_model_radar.py +17 -1
- scripts/omni/score_existing_model_output_task_probes.py +312 -2
PROJECT_README.md
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@@ -635,7 +635,7 @@ public-sample axes. The 128-episode radar isolates metadata/raw baselines and
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Qwen3/Cosmos branches: raw-feature simple/NN baselines are the current complete
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20/20 scored multi-episode results, while metadata and foundation-model rows
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retain explicit scoreless records where no public target was evaluated. The
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current matrix has
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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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tier2_task_suite.py # historical-name builder for tasks 13-20
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build_unified_task_suite.py # builds TASK_SUITE_20.md and task_suite_20.json
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build_unified_task_model_radar.py # builds the unified 20-axis model comparison chart
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build_task_method_20_gap_audit.py # builds the explicit
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task_walkthroughs.py # human-readable task-card and walkthrough-storyboard metadata
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generate_visualizations.py # refreshes SVG charts + summary JSON
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render_task_suite_infographic.py # renders the task-suite presentation PNG
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data/single_episode_task_model_radar.json # 1-episode split radar values
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data/episode128_task_model_radar.json # 128-episode split radar values
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data/task_method_20_result_matrix.json # 9-method x 20-task result matrix
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data/task_method_20_gap_audit.json # explicit
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data/evidence_contract.json # machine-readable project scope
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data/artifact_index.json # compact project-artifact catalog
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data/live_publication_status.json # live GitHub/HF publication verification
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Qwen3/Cosmos branches: raw-feature simple/NN baselines are the current complete
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20/20 scored multi-episode results, while metadata and foundation-model rows
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retain explicit scoreless records where no public target was evaluated. The
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current matrix has 150 numeric method-task scores out of 180 records.
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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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tier2_task_suite.py # historical-name builder for tasks 13-20
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build_unified_task_suite.py # builds TASK_SUITE_20.md and task_suite_20.json
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build_unified_task_model_radar.py # builds the unified 20-axis model comparison chart
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build_task_method_20_gap_audit.py # builds the explicit 150/180 scored-cell gap ledger
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task_walkthroughs.py # human-readable task-card and walkthrough-storyboard metadata
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generate_visualizations.py # refreshes SVG charts + summary JSON
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render_task_suite_infographic.py # renders the task-suite presentation PNG
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data/single_episode_task_model_radar.json # 1-episode split radar values
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data/episode128_task_model_radar.json # 128-episode split radar values
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data/task_method_20_result_matrix.json # 9-method x 20-task result matrix
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data/task_method_20_gap_audit.json # explicit 150/180 scored-cell gap ledger
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data/evidence_contract.json # machine-readable project scope
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data/artifact_index.json # compact project-artifact catalog
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data/live_publication_status.json # live GitHub/HF publication verification
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TASK_METHOD_20_GAP_AUDIT.md
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# Task Method 20-Result Gap Audit
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Generated: `2026-06-18T20:
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This audit is the explicit gap ledger for the 9-method x 20-task result matrix.
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It keeps missing cells visible while preserving the rule that a numeric score
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## Score Summary
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- Method-task records: `180`
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- Numeric scored records: `
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- Scoreless records: `
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- Proxy-scored records: `4`
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- Source matrix: [`docs/data/task_method_20_result_matrix.json`](docs/data/task_method_20_result_matrix.json)
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| 128ep Raw NN | raw128_neural_mlp | 20/20 | 0 | 2 | proxy_scored: 2, scored: 18 |
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| Qwen3-Omni v6 LoRA | qwen3_omni_v6_lora | 15/20 | 5 | 0 | not_evaluated_in_verified_package: 5, scored: 15 |
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| Cosmos3-Super Reasoner | cosmos3_super_reasoner | 9/20 | 11 | 0 | not_evaluated_in_verified_package: 11, scored: 9 |
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| Cosmos3-Nano Future Window | cosmos3_nano_future_window |
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## Gap Classes
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| Status | Count | Next step |
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| --- | --- | --- |
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| not_evaluated_in_verified_package |
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| not_supported_by_metadata_only_package | 2 | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
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| unsupported_without_required_target | 2 | Export the missing target field for this 128-episode method, then rerun the same train/validation/test split. |
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| 12 | Multimodal Synchronization Detection | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 12 | Multimodal Synchronization Detection | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 14 | Long-Horizon Next-Subtask Forecasting | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 14 | Long-Horizon Next-Subtask Forecasting | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 15 | Interaction Text Prediction | 128ep Aligned Simple | unsupported | Export the missing target field for this 128-episode method, then rerun the same train/validation/test split. |
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| 15 | Interaction Text Prediction | 128ep Aligned NN | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
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| 15 | Interaction Text Prediction | Qwen3-Omni v6 LoRA | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 15 | Interaction Text Prediction | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 16 | Action-Object Relation Prediction | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 17 | Future Object-Set Forecasting | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 17 | Future Object-Set Forecasting | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 18 | IMU-to-Hand Pose Reconstruction | Qwen3-Omni v6 LoRA | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 18 | IMU-to-Hand Pose Reconstruction | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 18 | IMU-to-Hand Pose Reconstruction | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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# Task Method 20-Result Gap Audit
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+
Generated: `2026-06-18T20:58:31+00:00`
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This audit is the explicit gap ledger for the 9-method x 20-task result matrix.
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It keeps missing cells visible while preserving the rule that a numeric score
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## Score Summary
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- Method-task records: `180`
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- Numeric scored records: `150`
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- Scoreless records: `30`
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- Proxy-scored records: `4`
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- Source matrix: [`docs/data/task_method_20_result_matrix.json`](docs/data/task_method_20_result_matrix.json)
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| 128ep Raw NN | raw128_neural_mlp | 20/20 | 0 | 2 | proxy_scored: 2, scored: 18 |
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| Qwen3-Omni v6 LoRA | qwen3_omni_v6_lora | 15/20 | 5 | 0 | not_evaluated_in_verified_package: 5, scored: 15 |
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| Cosmos3-Super Reasoner | cosmos3_super_reasoner | 9/20 | 11 | 0 | not_evaluated_in_verified_package: 11, scored: 9 |
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| Cosmos3-Nano Future Window | cosmos3_nano_future_window | 10/20 | 10 | 0 | not_evaluated_in_verified_package: 10, scored: 10 |
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## Gap Classes
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| Status | Count | Next step |
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| --- | --- | --- |
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+
| not_evaluated_in_verified_package | 26 | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| not_supported_by_metadata_only_package | 2 | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
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| unsupported_without_required_target | 2 | Export the missing target field for this 128-episode method, then rerun the same train/validation/test split. |
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| 12 | Multimodal Synchronization Detection | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 12 | Multimodal Synchronization Detection | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 14 | Long-Horizon Next-Subtask Forecasting | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 15 | Interaction Text Prediction | 128ep Aligned Simple | unsupported | Export the missing target field for this 128-episode method, then rerun the same train/validation/test split. |
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| 15 | Interaction Text Prediction | 128ep Aligned NN | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
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| 15 | Interaction Text Prediction | Qwen3-Omni v6 LoRA | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 15 | Interaction Text Prediction | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 16 | Action-Object Relation Prediction | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 17 | Future Object-Set Forecasting | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 18 | IMU-to-Hand Pose Reconstruction | Qwen3-Omni v6 LoRA | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 18 | IMU-to-Hand Pose Reconstruction | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 18 | IMU-to-Hand Pose Reconstruction | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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TASK_METHOD_20_RESULT_MATRIX.md
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| 128ep Raw NN | 20 | 20 | 2 | 0 | proxy scored 2, scored 18 |
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| Qwen3-Omni v6 LoRA | 20 | 15 | 0 | 5 | not evaluated 5, scored 15 |
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| Cosmos3-Super Reasoner | 20 | 9 | 0 | 11 | not evaluated 11, scored 9 |
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| Cosmos3-Nano Future Window | 20 |
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| # | Task | Min | NN | 128-S | 128-NN | 128-RS | 128-RN | Qwen3 | C3-S | C3-N |
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| ---: | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
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| 11 | Temporal Order Verification | score | score | score | score | score | score | score | not evaluated | not evaluated |
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| 12 | Multimodal Synchronization Detection | score | score | score | score | score | score | score | not evaluated | not evaluated |
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| 13 | Long-Horizon Next-Action Forecasting | score | score | score | score | score | score | score | score | score |
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| 14 | Long-Horizon Next-Subtask Forecasting | score | score | score | score | score | score | score | not evaluated |
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| 15 | Interaction Text Prediction | score | score | unsupported | not supported | proxy | proxy | not evaluated | not evaluated | not evaluated |
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| 16 | Action-Object Relation Prediction | score | score | score | score | score | score | score | score | not evaluated |
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| 17 | Future Object-Set Forecasting | score | score | score | score | score | score | score | not evaluated |
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| 18 | IMU-to-Hand Pose Reconstruction | score | score | score | score | score | score | not evaluated | not evaluated | not evaluated |
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| 19 | Camera-View Synchronization Retrieval | score | score | unsupported | not supported | proxy | proxy | not evaluated | not evaluated | not evaluated |
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| 20 | Time-to-Next-Transition Regression | score | score | score | score | score | score | score | score | score |
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| 128ep Raw NN | 20 | 20 | 2 | 0 | proxy scored 2, scored 18 |
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| Qwen3-Omni v6 LoRA | 20 | 15 | 0 | 5 | not evaluated 5, scored 15 |
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| Cosmos3-Super Reasoner | 20 | 9 | 0 | 11 | not evaluated 11, scored 9 |
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| Cosmos3-Nano Future Window | 20 | 10 | 0 | 10 | not evaluated 10, scored 10 |
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| # | Task | Min | NN | 128-S | 128-NN | 128-RS | 128-RN | Qwen3 | C3-S | C3-N |
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| ---: | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
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| 11 | Temporal Order Verification | score | score | score | score | score | score | score | not evaluated | not evaluated |
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| 12 | Multimodal Synchronization Detection | score | score | score | score | score | score | score | not evaluated | not evaluated |
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| 13 | Long-Horizon Next-Action Forecasting | score | score | score | score | score | score | score | score | score |
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| 14 | Long-Horizon Next-Subtask Forecasting | score | score | score | score | score | score | score | not evaluated | score |
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| 15 | Interaction Text Prediction | score | score | unsupported | not supported | proxy | proxy | not evaluated | not evaluated | not evaluated |
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| 16 | Action-Object Relation Prediction | score | score | score | score | score | score | score | score | not evaluated |
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| 17 | Future Object-Set Forecasting | score | score | score | score | score | score | score | not evaluated | score |
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| 18 | IMU-to-Hand Pose Reconstruction | score | score | score | score | score | score | not evaluated | not evaluated | not evaluated |
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| 19 | Camera-View Synchronization Retrieval | score | score | unsupported | not supported | proxy | proxy | not evaluated | not evaluated | not evaluated |
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| 20 | Time-to-Next-Transition Regression | score | score | score | score | score | score | score | score | score |
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assets/charts/episode128_task_model_radar.svg
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data/artifact_index.json
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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": 214,
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"missing": [],
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"shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
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"exists": true,
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"bytes": 4432,
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"sha256": "
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"id": "source_alignment_validator",
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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, branch-card caveats, and explicit scoreless status records.",
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"exists": true,
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"bytes":
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"sha256": "
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"id": "single_episode_task_model_radar_json",
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"shows": "Machine-readable split radar for the one-episode Minimal and Neural MLP baselines, both scored on all 20 task contracts.",
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"exists": true,
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"bytes": 51064,
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"sha256": "
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"id": "episode128_task_model_radar_json",
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"surface": "website_hf",
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"shows": "Machine-readable split radar for selected 128-episode metadata/raw baselines and verified Qwen3/Cosmos branches, preserving explicit scoreless cells.",
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"exists": true,
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"bytes":
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"id": "task_method_20_result_matrix_json",
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"surface": "website_hf",
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"shows": "Machine-readable 9-method by 20-task matrix where every method has 20 records and scoreless cells carry unsupported/not-evaluated reasons.",
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"exists": true,
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"bytes":
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"id": "task_method_20_result_matrix",
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"surface": "repo_hf",
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"shows": "Reader-facing table that separates 20 records per method from numeric scored axes, documented raw128 proxy scores, unsupported metadata targets, and model targets not evaluated in verified packages.",
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"exists": true,
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"bytes":
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"id": "task_method_20_gap_audit_json",
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"surface": "website_hf",
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"shows": "Machine-readable 180-record gap ledger with numeric scores, scoreless cells, explicit status reasons, and next evidence needed before new scores can be published.",
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"exists": true,
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"bytes":
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"id": "task_method_20_gap_audit",
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"surface": "repo_hf",
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"shows": "Reader-facing ledger that lists every scoreless method-task cell and the concrete target or model-output evidence required before it can become numeric.",
|
| 798 |
"exists": true,
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| 801 |
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| 802 |
{
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| 803 |
"id": "unified_task_model_radar_chart",
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|
@@ -807,8 +807,8 @@
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|
| 807 |
"surface": "website_hf",
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| 808 |
"shows": "Compares minimal and neural MLP baselines across all 20 tasks, with Qwen3/Cosmos task-aligned model overlays.",
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| 812 |
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| 813 |
{
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| 814 |
"id": "single_episode_task_model_radar_chart",
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|
@@ -829,8 +829,8 @@
|
|
| 829 |
"surface": "website_hf",
|
| 830 |
"shows": "Separates the selected 128-episode methods: raw-feature simple/NN as complete 20/20 scored polygons and metadata/Qwen/Cosmos as task-aligned overlays.",
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| 831 |
"exists": true,
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| 832 |
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| 833 |
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| 834 |
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| 835 |
{
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| 836 |
"id": "unified_task_model_radar_builder",
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|
@@ -840,8 +840,8 @@
|
|
| 840 |
"surface": "repo_hf",
|
| 841 |
"shows": "Regenerates the direction-aware radar chart and machine-readable metric overlay JSON.",
|
| 842 |
"exists": true,
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| 843 |
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"bytes":
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| 844 |
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"sha256": "
|
| 845 |
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| 846 |
{
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| 847 |
"id": "task_method_20_gap_audit_builder",
|
|
@@ -893,10 +893,10 @@
|
|
| 893 |
"path": "results/omni_finetune/model_output_task_probes_20260616/summary.json",
|
| 894 |
"kind": "model_result",
|
| 895 |
"surface": "repo_hf",
|
| 896 |
-
"shows": "Scores task
|
| 897 |
"exists": true,
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| 898 |
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"bytes":
|
| 899 |
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"sha256": "
|
| 900 |
},
|
| 901 |
{
|
| 902 |
"id": "existing_model_output_task_probe_script",
|
|
@@ -906,8 +906,8 @@
|
|
| 906 |
"surface": "repo_hf",
|
| 907 |
"shows": "Derives task-specific scores from committed verified model outputs without running new inference or backfilling absent targets.",
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| 908 |
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| 909 |
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"bytes":
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| 910 |
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"sha256": "
|
| 911 |
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| 912 |
{
|
| 913 |
"id": "a100_128_metadata_task_baselines",
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|
@@ -1116,7 +1116,7 @@
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|
| 1116 |
"shows": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
|
| 1117 |
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|
| 1118 |
"bytes": 8100,
|
| 1119 |
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|
| 1120 |
},
|
| 1121 |
{
|
| 1122 |
"id": "public_surface_qa",
|
|
@@ -1285,8 +1285,8 @@
|
|
| 1285 |
"surface": "repo_hf",
|
| 1286 |
"shows": "Generates the selective artifact catalog from local files.",
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| 1287 |
"exists": true,
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| 1288 |
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"bytes":
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| 1289 |
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"sha256": "
|
| 1290 |
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|
| 1291 |
{
|
| 1292 |
"id": "publication_audit",
|
|
@@ -1321,7 +1321,7 @@
|
|
| 1321 |
"volatile": true,
|
| 1322 |
"shows": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
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| 1323 |
"exists": true,
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| 1324 |
-
"bytes":
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| 1325 |
"hash_policy": "existence_and_size_only"
|
| 1326 |
},
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| 1327 |
{
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|
| 1 |
{
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| 2 |
"title": "Ropedia Xperience-10M Task Suite Artifact Index",
|
| 3 |
+
"generated_at_utc": "2026-06-18T21:00:45+00:00",
|
| 4 |
"status": "pass",
|
| 5 |
"artifact_count": 214,
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| 6 |
"missing": [],
|
|
|
|
| 610 |
"shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
|
| 611 |
"exists": true,
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| 612 |
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"sha256": "2f0d7d3a1e131a193a6ea3bb871b8512db47ff49085641fb2e8eff887050b1f4"
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| 614 |
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| 615 |
{
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| 616 |
"id": "source_alignment_validator",
|
|
|
|
| 730 |
"surface": "website_hf",
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| 731 |
"shows": "Stores normalized 20-axis radar values, raw task metrics, Qwen3/Cosmos overlay mappings, branch-card caveats, and explicit scoreless status records.",
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| 732 |
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| 736 |
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| 737 |
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| 742 |
"shows": "Machine-readable split radar for the one-episode Minimal and Neural MLP baselines, both scored on all 20 task contracts.",
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| 743 |
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| 744 |
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| 747 |
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| 748 |
"id": "episode128_task_model_radar_json",
|
|
|
|
| 752 |
"surface": "website_hf",
|
| 753 |
"shows": "Machine-readable split radar for selected 128-episode metadata/raw baselines and verified Qwen3/Cosmos branches, preserving explicit scoreless cells.",
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| 754 |
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| 755 |
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"bytes": 185379,
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| 757 |
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| 758 |
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| 759 |
"id": "task_method_20_result_matrix_json",
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|
| 763 |
"surface": "website_hf",
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| 764 |
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| 765 |
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"bytes": 128837,
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| 767 |
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| 768 |
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| 769 |
{
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| 770 |
"id": "task_method_20_result_matrix",
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|
|
| 774 |
"surface": "repo_hf",
|
| 775 |
"shows": "Reader-facing table that separates 20 records per method from numeric scored axes, documented raw128 proxy scores, unsupported metadata targets, and model targets not evaluated in verified packages.",
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| 776 |
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| 777 |
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"bytes": 3900,
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| 778 |
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"sha256": "0778f0f778b1cd1b79dc96196d9531303c1a436a805cec3f54eee49cdbd35dac"
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| 779 |
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| 780 |
{
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| 781 |
"id": "task_method_20_gap_audit_json",
|
|
|
|
| 785 |
"surface": "website_hf",
|
| 786 |
"shows": "Machine-readable 180-record gap ledger with numeric scores, scoreless cells, explicit status reasons, and next evidence needed before new scores can be published.",
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| 787 |
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| 788 |
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"bytes": 30524,
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| 789 |
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| 790 |
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| 792 |
"id": "task_method_20_gap_audit",
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| 796 |
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| 797 |
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| 798 |
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"bytes": 8972,
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| 802 |
{
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| 803 |
"id": "unified_task_model_radar_chart",
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|
|
|
| 807 |
"surface": "website_hf",
|
| 808 |
"shows": "Compares minimal and neural MLP baselines across all 20 tasks, with Qwen3/Cosmos task-aligned model overlays.",
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| 809 |
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| 812 |
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| 813 |
{
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| 814 |
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| 829 |
"surface": "website_hf",
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| 830 |
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| 831 |
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| 834 |
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| 835 |
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| 836 |
"id": "unified_task_model_radar_builder",
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| 840 |
"surface": "repo_hf",
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| 841 |
"shows": "Regenerates the direction-aware radar chart and machine-readable metric overlay JSON.",
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| 842 |
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"bytes": 56295,
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| 844 |
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| 845 |
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| 846 |
{
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| 847 |
"id": "task_method_20_gap_audit_builder",
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|
|
|
| 893 |
"path": "results/omni_finetune/model_output_task_probes_20260616/summary.json",
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| 894 |
"kind": "model_result",
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| 895 |
"surface": "repo_hf",
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| 896 |
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"shows": "Scores task-specific Qwen3/Cosmos overlays only where verified held-out prediction JSON or compact target maps already contain the required targets.",
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| 897 |
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| 898 |
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| 899 |
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| 900 |
},
|
| 901 |
{
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| 902 |
"id": "existing_model_output_task_probe_script",
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|
|
|
| 906 |
"surface": "repo_hf",
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| 907 |
"shows": "Derives task-specific scores from committed verified model outputs without running new inference or backfilling absent targets.",
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| 908 |
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| 910 |
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| 911 |
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| 912 |
{
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| 913 |
"id": "a100_128_metadata_task_baselines",
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| 1116 |
"shows": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
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| 1117 |
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| 1118 |
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| 1119 |
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"sha256": "12cec90cfb4bd783f397852f04ffba5b9d0ae9316667bdee4719cbd6f2d3579a"
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| 1120 |
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| 1121 |
{
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| 1122 |
"id": "public_surface_qa",
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| 1285 |
"surface": "repo_hf",
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"shows": "Generates the selective artifact catalog from local files.",
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| 1287 |
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| 1289 |
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| 1290 |
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| 1291 |
{
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| 1292 |
"id": "publication_audit",
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| 1321 |
"volatile": true,
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| 1322 |
"shows": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
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| 1323 |
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| 1325 |
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| 1326 |
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{
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data/episode128_task_model_radar.json
CHANGED
|
@@ -1,12 +1,12 @@
|
|
| 1 |
{
|
| 2 |
"title": "128-Episode 20-Task Radar",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-18T20:
|
| 5 |
"description": "Selected 128-episode metadata/raw baselines plus verified Qwen3/Cosmos branches. Every method has 20 records; numeric scores appear only where the public artifact produced that task target.",
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| 6 |
"task_count": 20,
|
| 7 |
"method_count": 7,
|
| 8 |
"method_task_record_count": 140,
|
| 9 |
-
"scored_method_task_count":
|
| 10 |
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|
| 11 |
"higher_is_better": "bounded metrics are plotted directly on 0-1 axes after clipping to [0, 1]",
|
| 12 |
"lower_is_better": "lower-error metrics are converted to best_observed_value / raw_value within the same task",
|
|
@@ -171,20 +171,20 @@
|
|
| 171 |
"kind": "partial_128_episode_world_model_overlay",
|
| 172 |
"scope": "128 selected episodes, held-out test",
|
| 173 |
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|
| 174 |
-
"method_detail": "Verified Cosmos3-Nano future-window compatibility metrics, plus
|
| 175 |
"plotted_as": "colored point overlay",
|
| 176 |
"result_record_count": 20,
|
| 177 |
-
"scored_task_count":
|
| 178 |
-
"covered_task_count":
|
| 179 |
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|
| 180 |
-
"scoreless_task_count":
|
| 181 |
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|
| 182 |
-
"not_evaluated_task_count":
|
| 183 |
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|
| 184 |
-
"not_evaluated_in_verified_package":
|
| 185 |
-
"scored":
|
| 186 |
},
|
| 187 |
-
"coverage_fraction": 0.
|
| 188 |
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|
| 189 |
}
|
| 190 |
],
|
|
@@ -1451,15 +1451,15 @@
|
|
| 1451 |
"status_label": "not evaluated"
|
| 1452 |
},
|
| 1453 |
"cosmos3_nano_future_window": {
|
| 1454 |
-
"raw":
|
| 1455 |
-
"metric_key": "
|
| 1456 |
-
"source":
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| 1457 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 1458 |
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"status": "
|
| 1459 |
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"reason":
|
| 1460 |
-
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| 1461 |
-
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|
| 1462 |
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| 1463 |
}
|
| 1464 |
}
|
| 1465 |
},
|
|
@@ -1724,15 +1724,15 @@
|
|
| 1724 |
"status_label": "not evaluated"
|
| 1725 |
},
|
| 1726 |
"cosmos3_nano_future_window": {
|
| 1727 |
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"raw":
|
| 1728 |
-
"metric_key": "
|
| 1729 |
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"source":
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| 1730 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 1731 |
-
"status": "
|
| 1732 |
-
"reason":
|
| 1733 |
-
"normalized_score":
|
| 1734 |
-
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|
| 1735 |
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| 1736 |
}
|
| 1737 |
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|
| 1738 |
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|
|
@@ -3763,17 +3763,17 @@
|
|
| 3763 |
"task_label": "Long-Horizon Next-Subtask Forecasting",
|
| 3764 |
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|
| 3765 |
"method": "Cosmos3-Nano Future Window",
|
| 3766 |
-
"status": "
|
| 3767 |
-
"status_label": "
|
| 3768 |
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"scored":
|
| 3769 |
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|
| 3770 |
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"raw":
|
| 3771 |
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|
| 3772 |
-
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|
| 3773 |
-
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|
| 3774 |
-
"source":
|
| 3775 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 3776 |
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"reason":
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| 3777 |
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| 3778 |
{
|
| 3779 |
"task_number": 15,
|
|
@@ -4141,17 +4141,17 @@
|
|
| 4141 |
"task_label": "Future Object-Set Forecasting",
|
| 4142 |
"series_id": "cosmos3_nano_future_window",
|
| 4143 |
"method": "Cosmos3-Nano Future Window",
|
| 4144 |
-
"status": "
|
| 4145 |
-
"status_label": "
|
| 4146 |
-
"scored":
|
| 4147 |
"proxy_scored": false,
|
| 4148 |
-
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|
| 4149 |
-
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|
| 4150 |
-
"normalized_score":
|
| 4151 |
-
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|
| 4152 |
-
"source":
|
| 4153 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 4154 |
-
"reason":
|
| 4155 |
},
|
| 4156 |
{
|
| 4157 |
"task_number": 18,
|
|
|
|
| 1 |
{
|
| 2 |
"title": "128-Episode 20-Task Radar",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-18T20:58:30+00:00",
|
| 5 |
"description": "Selected 128-episode metadata/raw baselines plus verified Qwen3/Cosmos branches. Every method has 20 records; numeric scores appear only where the public artifact produced that task target.",
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| 6 |
"task_count": 20,
|
| 7 |
"method_count": 7,
|
| 8 |
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|
| 9 |
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"scored_method_task_count": 110,
|
| 10 |
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|
| 11 |
"higher_is_better": "bounded metrics are plotted directly on 0-1 axes after clipping to [0, 1]",
|
| 12 |
"lower_is_better": "lower-error metrics are converted to best_observed_value / raw_value within the same task",
|
|
|
|
| 171 |
"kind": "partial_128_episode_world_model_overlay",
|
| 172 |
"scope": "128 selected episodes, held-out test",
|
| 173 |
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|
| 174 |
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"method_detail": "Verified Cosmos3-Nano future-window compatibility metrics, plus tasks 10/13/14/17 and a derived task-20 boundary timing probe scored from existing held-out future-window artifacts.",
|
| 175 |
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|
| 176 |
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|
| 177 |
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|
| 178 |
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|
| 179 |
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|
| 180 |
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|
| 181 |
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|
| 182 |
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"not_evaluated_task_count": 10,
|
| 183 |
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|
| 184 |
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|
| 185 |
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"scored": 10
|
| 186 |
},
|
| 187 |
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"coverage_fraction": 0.5,
|
| 188 |
"result_record_fraction": 1.0
|
| 189 |
}
|
| 190 |
],
|
|
|
|
| 1451 |
"status_label": "not evaluated"
|
| 1452 |
},
|
| 1453 |
"cosmos3_nano_future_window": {
|
| 1454 |
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"raw": 0.006614876224708678,
|
| 1455 |
+
"metric_key": "next_subtask_forecast_macro_f1",
|
| 1456 |
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"source": "results/omni_finetune/model_output_task_probes_20260616/next_subtask_forecast/cosmos3_nano_future_window/metrics.json",
|
| 1457 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 1458 |
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| 4141 |
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| 4142 |
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{
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| 2 |
"title": "Single-Episode 20-Task Radar",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-18T20:58:30+00:00",
|
| 5 |
"description": "Minimal and Neural MLP baselines on the one public sample episode, both scored on all 20 task contracts.",
|
| 6 |
"task_count": 20,
|
| 7 |
"method_count": 2,
|
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": "2026-06-18T21:01:45+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_method_20_gap_audit.json
CHANGED
|
@@ -1,10 +1,10 @@
|
|
| 1 |
{
|
| 2 |
-
"generated_at_utc": "2026-06-18T20:
|
| 3 |
"immediate_actions": [
|
| 4 |
{
|
| 5 |
"artifact": "docs/data/task_method_20_gap_audit.json",
|
| 6 |
"id": "gap_audit",
|
| 7 |
-
"purpose": "Keep the
|
| 8 |
},
|
| 9 |
{
|
| 10 |
"artifact": "scripts/omni/score_model_output_probes.py",
|
|
@@ -24,11 +24,11 @@
|
|
| 24 |
"proxy_scored_task_count": 0,
|
| 25 |
"result_record_count": 20,
|
| 26 |
"scope": "128 selected episodes, held-out test",
|
| 27 |
-
"scored_task_count":
|
| 28 |
-
"scoreless_task_count":
|
| 29 |
"status_counts": {
|
| 30 |
-
"not_evaluated_in_verified_package":
|
| 31 |
-
"scored":
|
| 32 |
}
|
| 33 |
},
|
| 34 |
"cosmos3_super_reasoner": {
|
|
@@ -135,14 +135,14 @@
|
|
| 135 |
}
|
| 136 |
},
|
| 137 |
"missing_by_method": {
|
| 138 |
-
"cosmos3_nano_future_window":
|
| 139 |
"cosmos3_super_reasoner": 11,
|
| 140 |
"metadata128_neural_mlp": 2,
|
| 141 |
"metadata128_simple": 2,
|
| 142 |
"qwen3_omni_v6_lora": 5
|
| 143 |
},
|
| 144 |
"missing_by_status": {
|
| 145 |
-
"not_evaluated_in_verified_package":
|
| 146 |
"not_supported_by_metadata_only_package": 2,
|
| 147 |
"unsupported_without_required_target": 2
|
| 148 |
},
|
|
@@ -178,7 +178,6 @@
|
|
| 178 |
"cosmos3_super_reasoner"
|
| 179 |
],
|
| 180 |
"14 Long-Horizon Next-Subtask Forecasting": [
|
| 181 |
-
"cosmos3_nano_future_window",
|
| 182 |
"cosmos3_super_reasoner"
|
| 183 |
],
|
| 184 |
"15 Interaction Text Prediction": [
|
|
@@ -192,7 +191,6 @@
|
|
| 192 |
"cosmos3_nano_future_window"
|
| 193 |
],
|
| 194 |
"17 Future Object-Set Forecasting": [
|
| 195 |
-
"cosmos3_nano_future_window",
|
| 196 |
"cosmos3_super_reasoner"
|
| 197 |
],
|
| 198 |
"18 IMU-to-Hand Pose Reconstruction": [
|
|
@@ -404,19 +402,6 @@
|
|
| 404 |
"task_label": "Long-Horizon Next-Subtask Forecasting",
|
| 405 |
"task_number": 14
|
| 406 |
},
|
| 407 |
-
{
|
| 408 |
-
"method": "Cosmos3-Nano Future Window",
|
| 409 |
-
"metric_key": "macro_f1",
|
| 410 |
-
"reason": "the verified public model package did not ask this branch to emit that task target; a new task-specific evaluation package is required for a numeric score",
|
| 411 |
-
"recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
|
| 412 |
-
"scope": "multi_episode_128_partial_model_overlay",
|
| 413 |
-
"series_id": "cosmos3_nano_future_window",
|
| 414 |
-
"status": "not_evaluated_in_verified_package",
|
| 415 |
-
"status_label": "not evaluated",
|
| 416 |
-
"task_id": "next_subtask_forecast",
|
| 417 |
-
"task_label": "Long-Horizon Next-Subtask Forecasting",
|
| 418 |
-
"task_number": 14
|
| 419 |
-
},
|
| 420 |
{
|
| 421 |
"method": "128ep Aligned Simple",
|
| 422 |
"metric_key": "macro_f1",
|
|
@@ -508,19 +493,6 @@
|
|
| 508 |
"task_label": "Future Object-Set Forecasting",
|
| 509 |
"task_number": 17
|
| 510 |
},
|
| 511 |
-
{
|
| 512 |
-
"method": "Cosmos3-Nano Future Window",
|
| 513 |
-
"metric_key": "micro_f1",
|
| 514 |
-
"reason": "the verified public model package did not ask this branch to emit that task target; a new task-specific evaluation package is required for a numeric score",
|
| 515 |
-
"recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
|
| 516 |
-
"scope": "multi_episode_128_partial_model_overlay",
|
| 517 |
-
"series_id": "cosmos3_nano_future_window",
|
| 518 |
-
"status": "not_evaluated_in_verified_package",
|
| 519 |
-
"status_label": "not evaluated",
|
| 520 |
-
"task_id": "object_set_forecast",
|
| 521 |
-
"task_label": "Future Object-Set Forecasting",
|
| 522 |
-
"task_number": 17
|
| 523 |
-
},
|
| 524 |
{
|
| 525 |
"method": "Qwen3-Omni v6 LoRA",
|
| 526 |
"metric_key": "mae",
|
|
@@ -672,8 +644,8 @@
|
|
| 672 |
"method_count": 9,
|
| 673 |
"method_task_record_count": 180,
|
| 674 |
"proxy_scored_method_task_count": 4,
|
| 675 |
-
"scored_method_task_count":
|
| 676 |
-
"scoreless_method_task_count":
|
| 677 |
"task_count": 20
|
| 678 |
},
|
| 679 |
"source_matrix": "docs/data/task_method_20_result_matrix.json",
|
|
|
|
| 1 |
{
|
| 2 |
+
"generated_at_utc": "2026-06-18T20:58:31+00:00",
|
| 3 |
"immediate_actions": [
|
| 4 |
{
|
| 5 |
"artifact": "docs/data/task_method_20_gap_audit.json",
|
| 6 |
"id": "gap_audit",
|
| 7 |
+
"purpose": "Keep the 30 scoreless cells visible and reproducible."
|
| 8 |
},
|
| 9 |
{
|
| 10 |
"artifact": "scripts/omni/score_model_output_probes.py",
|
|
|
|
| 24 |
"proxy_scored_task_count": 0,
|
| 25 |
"result_record_count": 20,
|
| 26 |
"scope": "128 selected episodes, held-out test",
|
| 27 |
+
"scored_task_count": 10,
|
| 28 |
+
"scoreless_task_count": 10,
|
| 29 |
"status_counts": {
|
| 30 |
+
"not_evaluated_in_verified_package": 10,
|
| 31 |
+
"scored": 10
|
| 32 |
}
|
| 33 |
},
|
| 34 |
"cosmos3_super_reasoner": {
|
|
|
|
| 135 |
}
|
| 136 |
},
|
| 137 |
"missing_by_method": {
|
| 138 |
+
"cosmos3_nano_future_window": 10,
|
| 139 |
"cosmos3_super_reasoner": 11,
|
| 140 |
"metadata128_neural_mlp": 2,
|
| 141 |
"metadata128_simple": 2,
|
| 142 |
"qwen3_omni_v6_lora": 5
|
| 143 |
},
|
| 144 |
"missing_by_status": {
|
| 145 |
+
"not_evaluated_in_verified_package": 26,
|
| 146 |
"not_supported_by_metadata_only_package": 2,
|
| 147 |
"unsupported_without_required_target": 2
|
| 148 |
},
|
|
|
|
| 178 |
"cosmos3_super_reasoner"
|
| 179 |
],
|
| 180 |
"14 Long-Horizon Next-Subtask Forecasting": [
|
|
|
|
| 181 |
"cosmos3_super_reasoner"
|
| 182 |
],
|
| 183 |
"15 Interaction Text Prediction": [
|
|
|
|
| 191 |
"cosmos3_nano_future_window"
|
| 192 |
],
|
| 193 |
"17 Future Object-Set Forecasting": [
|
|
|
|
| 194 |
"cosmos3_super_reasoner"
|
| 195 |
],
|
| 196 |
"18 IMU-to-Hand Pose Reconstruction": [
|
|
|
|
| 402 |
"task_label": "Long-Horizon Next-Subtask Forecasting",
|
| 403 |
"task_number": 14
|
| 404 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 405 |
{
|
| 406 |
"method": "128ep Aligned Simple",
|
| 407 |
"metric_key": "macro_f1",
|
|
|
|
| 493 |
"task_label": "Future Object-Set Forecasting",
|
| 494 |
"task_number": 17
|
| 495 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 496 |
{
|
| 497 |
"method": "Qwen3-Omni v6 LoRA",
|
| 498 |
"metric_key": "mae",
|
|
|
|
| 644 |
"method_count": 9,
|
| 645 |
"method_task_record_count": 180,
|
| 646 |
"proxy_scored_method_task_count": 4,
|
| 647 |
+
"scored_method_task_count": 150,
|
| 648 |
+
"scoreless_method_task_count": 30,
|
| 649 |
"task_count": 20
|
| 650 |
},
|
| 651 |
"source_matrix": "docs/data/task_method_20_result_matrix.json",
|
data/task_method_20_result_matrix.json
CHANGED
|
@@ -1,11 +1,11 @@
|
|
| 1 |
{
|
| 2 |
"title": "Task Method 20-Result Matrix",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-18T20:
|
| 5 |
"task_count": 20,
|
| 6 |
"method_count": 9,
|
| 7 |
"method_task_record_count": 180,
|
| 8 |
-
"scored_method_task_count":
|
| 9 |
"series": [
|
| 10 |
{
|
| 11 |
"id": "minimal",
|
|
@@ -205,20 +205,20 @@
|
|
| 205 |
"kind": "partial_128_episode_world_model_overlay",
|
| 206 |
"scope": "128 selected episodes, held-out test",
|
| 207 |
"stroke_dasharray": "2 7",
|
| 208 |
-
"method_detail": "Verified Cosmos3-Nano future-window compatibility metrics, plus
|
| 209 |
"plotted_as": "colored point overlay",
|
| 210 |
"result_record_count": 20,
|
| 211 |
-
"scored_task_count":
|
| 212 |
-
"covered_task_count":
|
| 213 |
"proxy_scored_task_count": 0,
|
| 214 |
-
"scoreless_task_count":
|
| 215 |
"unsupported_task_count": 0,
|
| 216 |
-
"not_evaluated_task_count":
|
| 217 |
"status_counts": {
|
| 218 |
-
"not_evaluated_in_verified_package":
|
| 219 |
-
"scored":
|
| 220 |
},
|
| 221 |
-
"coverage_fraction": 0.
|
| 222 |
"result_record_fraction": 1.0
|
| 223 |
}
|
| 224 |
],
|
|
@@ -2479,17 +2479,17 @@
|
|
| 2479 |
"task_label": "Long-Horizon Next-Subtask Forecasting",
|
| 2480 |
"series_id": "cosmos3_nano_future_window",
|
| 2481 |
"method": "Cosmos3-Nano Future Window",
|
| 2482 |
-
"status": "
|
| 2483 |
-
"status_label": "
|
| 2484 |
-
"scored":
|
| 2485 |
"proxy_scored": false,
|
| 2486 |
-
"raw":
|
| 2487 |
-
"raw_text": "
|
| 2488 |
-
"normalized_score":
|
| 2489 |
-
"metric_key": "
|
| 2490 |
-
"source":
|
| 2491 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 2492 |
-
"reason":
|
| 2493 |
},
|
| 2494 |
{
|
| 2495 |
"task_number": 15,
|
|
@@ -2965,17 +2965,17 @@
|
|
| 2965 |
"task_label": "Future Object-Set Forecasting",
|
| 2966 |
"series_id": "cosmos3_nano_future_window",
|
| 2967 |
"method": "Cosmos3-Nano Future Window",
|
| 2968 |
-
"status": "
|
| 2969 |
-
"status_label": "
|
| 2970 |
-
"scored":
|
| 2971 |
"proxy_scored": false,
|
| 2972 |
-
"raw":
|
| 2973 |
-
"raw_text": "
|
| 2974 |
-
"normalized_score":
|
| 2975 |
-
"metric_key": "
|
| 2976 |
-
"source":
|
| 2977 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 2978 |
-
"reason":
|
| 2979 |
},
|
| 2980 |
{
|
| 2981 |
"task_number": 18,
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Task Method 20-Result Matrix",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-18T20:58:30+00:00",
|
| 5 |
"task_count": 20,
|
| 6 |
"method_count": 9,
|
| 7 |
"method_task_record_count": 180,
|
| 8 |
+
"scored_method_task_count": 150,
|
| 9 |
"series": [
|
| 10 |
{
|
| 11 |
"id": "minimal",
|
|
|
|
| 205 |
"kind": "partial_128_episode_world_model_overlay",
|
| 206 |
"scope": "128 selected episodes, held-out test",
|
| 207 |
"stroke_dasharray": "2 7",
|
| 208 |
+
"method_detail": "Verified Cosmos3-Nano future-window compatibility metrics, plus tasks 10/13/14/17 and a derived task-20 boundary timing probe scored from existing held-out future-window artifacts.",
|
| 209 |
"plotted_as": "colored point overlay",
|
| 210 |
"result_record_count": 20,
|
| 211 |
+
"scored_task_count": 10,
|
| 212 |
+
"covered_task_count": 10,
|
| 213 |
"proxy_scored_task_count": 0,
|
| 214 |
+
"scoreless_task_count": 10,
|
| 215 |
"unsupported_task_count": 0,
|
| 216 |
+
"not_evaluated_task_count": 10,
|
| 217 |
"status_counts": {
|
| 218 |
+
"not_evaluated_in_verified_package": 10,
|
| 219 |
+
"scored": 10
|
| 220 |
},
|
| 221 |
+
"coverage_fraction": 0.5,
|
| 222 |
"result_record_fraction": 1.0
|
| 223 |
}
|
| 224 |
],
|
|
|
|
| 2479 |
"task_label": "Long-Horizon Next-Subtask Forecasting",
|
| 2480 |
"series_id": "cosmos3_nano_future_window",
|
| 2481 |
"method": "Cosmos3-Nano Future Window",
|
| 2482 |
+
"status": "scored",
|
| 2483 |
+
"status_label": "scored",
|
| 2484 |
+
"scored": true,
|
| 2485 |
"proxy_scored": false,
|
| 2486 |
+
"raw": 0.006614876224708678,
|
| 2487 |
+
"raw_text": "0.0066",
|
| 2488 |
+
"normalized_score": 0.006614876224708678,
|
| 2489 |
+
"metric_key": "next_subtask_forecast_macro_f1",
|
| 2490 |
+
"source": "results/omni_finetune/model_output_task_probes_20260616/next_subtask_forecast/cosmos3_nano_future_window/metrics.json",
|
| 2491 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 2492 |
+
"reason": null
|
| 2493 |
},
|
| 2494 |
{
|
| 2495 |
"task_number": 15,
|
|
|
|
| 2965 |
"task_label": "Future Object-Set Forecasting",
|
| 2966 |
"series_id": "cosmos3_nano_future_window",
|
| 2967 |
"method": "Cosmos3-Nano Future Window",
|
| 2968 |
+
"status": "scored",
|
| 2969 |
+
"status_label": "scored",
|
| 2970 |
+
"scored": true,
|
| 2971 |
"proxy_scored": false,
|
| 2972 |
+
"raw": 0.01781970649895178,
|
| 2973 |
+
"raw_text": "0.0178",
|
| 2974 |
+
"normalized_score": 0.01781970649895178,
|
| 2975 |
+
"metric_key": "object_set_forecast_micro_f1",
|
| 2976 |
+
"source": "results/omni_finetune/model_output_task_probes_20260616/object_set_forecast/cosmos3_nano_future_window/metrics.json",
|
| 2977 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 2978 |
+
"reason": null
|
| 2979 |
},
|
| 2980 |
{
|
| 2981 |
"task_number": 18,
|
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": "2026-06-18T21:01:45+00:00",
|
| 4 |
"summary": {
|
| 5 |
"task_count": 12,
|
| 6 |
"expected_task_count": 12,
|
data/unified_task_model_radar.json
CHANGED
|
@@ -1,11 +1,11 @@
|
|
| 1 |
{
|
| 2 |
"title": "Unified 20-Task Model Radar",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-18T20:
|
| 5 |
"task_count": 20,
|
| 6 |
"method_count": 9,
|
| 7 |
"method_task_record_count": 180,
|
| 8 |
-
"scored_method_task_count":
|
| 9 |
"normalization_policy": {
|
| 10 |
"higher_is_better": "bounded metrics are plotted directly on 0-1 axes after clipping to [0, 1]",
|
| 11 |
"lower_is_better": "lower-error metrics are converted to best_observed_value / raw_value within the same task",
|
|
@@ -214,20 +214,20 @@
|
|
| 214 |
"kind": "partial_128_episode_world_model_overlay",
|
| 215 |
"scope": "128 selected episodes, held-out test",
|
| 216 |
"stroke_dasharray": "2 7",
|
| 217 |
-
"method_detail": "Verified Cosmos3-Nano future-window compatibility metrics, plus
|
| 218 |
"plotted_as": "colored point overlay",
|
| 219 |
"result_record_count": 20,
|
| 220 |
-
"scored_task_count":
|
| 221 |
-
"covered_task_count":
|
| 222 |
"proxy_scored_task_count": 0,
|
| 223 |
-
"scoreless_task_count":
|
| 224 |
"unsupported_task_count": 0,
|
| 225 |
-
"not_evaluated_task_count":
|
| 226 |
"status_counts": {
|
| 227 |
-
"not_evaluated_in_verified_package":
|
| 228 |
-
"scored":
|
| 229 |
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|
| 230 |
-
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|
| 231 |
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|
| 232 |
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|
| 233 |
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|
|
@@ -1707,6 +1707,17 @@
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|
| 1707 |
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| 1708 |
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|
| 1709 |
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|
|
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|
|
| 1710 |
"qwen3_omni_v6_lora": {
|
| 1711 |
"raw": 0.004206715978529301,
|
| 1712 |
"metric_key": "next_subtask_forecast_macro_f1",
|
|
@@ -1772,17 +1783,6 @@
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| 1772 |
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|
| 1773 |
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|
| 1774 |
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|
| 1775 |
-
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| 1777 |
-
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|
| 1778 |
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| 1779 |
-
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| 1780 |
-
"scope": "multi_episode_128_partial_model_overlay",
|
| 1781 |
-
"status": "not_evaluated_in_verified_package",
|
| 1782 |
-
"reason": "the verified public model package did not ask this branch to emit that task target; a new task-specific evaluation package is required for a numeric score",
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| 1783 |
-
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|
| 1784 |
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"raw_text": "n/a",
|
| 1785 |
-
"status_label": "not evaluated"
|
| 1786 |
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| 1787 |
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|
| 1788 |
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|
@@ -2040,6 +2040,17 @@
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| 2040 |
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| 2041 |
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|
| 2043 |
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| 2044 |
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| 2045 |
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|
@@ -2105,17 +2116,6 @@
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|
| 2105 |
"normalized_score": null,
|
| 2106 |
"raw_text": "n/a",
|
| 2107 |
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|
| 2108 |
-
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| 2109 |
-
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|
| 2110 |
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|
| 2111 |
-
"metric_key": "micro_f1",
|
| 2112 |
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| 2113 |
-
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|
| 2114 |
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|
| 2115 |
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"reason": "the verified public model package did not ask this branch to emit that task target; a new task-specific evaluation package is required for a numeric score",
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| 2116 |
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|
| 2117 |
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|
| 2118 |
-
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|
| 2119 |
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| 2120 |
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| 2121 |
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|
@@ -2507,7 +2507,7 @@
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|
| 2507 |
"id": "cosmos3_nano_future_window",
|
| 2508 |
"title": "Cosmos3-Nano Future Window",
|
| 2509 |
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|
| 2510 |
-
"coverage": "20 records /
|
| 2511 |
"headline": "future retrieval MRR 0.0221; transition accuracy 0.9683",
|
| 2512 |
"source": "results/omni_finetune/verified_public/xperience10m_cosmos3_nano_128ep_future_window_h5_compat_adapter_eval_test_full/eval/metrics.json"
|
| 2513 |
},
|
|
@@ -4777,17 +4777,17 @@
|
|
| 4777 |
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|
| 4778 |
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|
| 4779 |
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|
| 4780 |
-
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|
| 4781 |
-
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| 4782 |
-
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| 4783 |
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| 4784 |
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| 4786 |
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| 4787 |
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| 4788 |
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| 4789 |
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|
| 4790 |
-
"reason":
|
| 4791 |
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|
| 4792 |
{
|
| 4793 |
"task_number": 15,
|
|
@@ -5263,17 +5263,17 @@
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|
| 5263 |
"task_label": "Future Object-Set Forecasting",
|
| 5264 |
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| 5265 |
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| 5276 |
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| 5278 |
{
|
| 5279 |
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|
|
|
| 1 |
{
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| 2 |
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|
| 3 |
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| 4 |
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| 10 |
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| 11 |
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|
|
|
| 214 |
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|
| 215 |
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| 216 |
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| 217 |
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| 218 |
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| 219 |
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| 220 |
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|
| 229 |
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| 230 |
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| 233 |
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| 1707 |
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| 1714 |
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| 2119 |
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| 2507 |
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| 2508 |
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| 2509 |
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| 2510 |
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"coverage": "20 records / 10 scored task-aligned axes",
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| 2511 |
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| 2512 |
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| 2513 |
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| 4777 |
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| 4778 |
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| 4779 |
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| 4780 |
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| 4789 |
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| 4792 |
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| 4793 |
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|
| 5263 |
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|
| 5264 |
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| 5265 |
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| 5266 |
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| 5275 |
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| 5277 |
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| 5278 |
{
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| 5279 |
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data/website_integrity.json
CHANGED
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@@ -1,6 +1,6 @@
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|
| 1 |
{
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| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-
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| 4 |
"docs_root": "docs",
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| 5 |
"site_base": "/ropedia-xperience-10m-task-suite/",
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| 6 |
"summary": {
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|
@@ -80,8 +80,8 @@
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|
| 80 |
"name": "project_overview_precedes_progress_ledger",
|
| 81 |
"status": "pass",
|
| 82 |
"reason": "The project overview should appear before the deeper progress ledger.",
|
| 83 |
-
"overview_index":
|
| 84 |
-
"evidence_index":
|
| 85 |
},
|
| 86 |
{
|
| 87 |
"name": "project_status_links_json",
|
|
@@ -159,9 +159,9 @@
|
|
| 159 |
"name": "evaluation_protocol_between_overview_and_progress",
|
| 160 |
"status": "pass",
|
| 161 |
"reason": "The evaluation protocol should appear before the deeper evidence ledger.",
|
| 162 |
-
"overview_index":
|
| 163 |
-
"protocol_index":
|
| 164 |
-
"evidence_index":
|
| 165 |
},
|
| 166 |
{
|
| 167 |
"name": "evaluation_protocol_links_json",
|
|
@@ -301,7 +301,7 @@
|
|
| 301 |
},
|
| 302 |
{
|
| 303 |
"path": "data/artifact_index.json",
|
| 304 |
-
"bytes":
|
| 305 |
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|
| 306 |
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|
| 307 |
{
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|
@@ -316,7 +316,7 @@
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|
| 316 |
},
|
| 317 |
{
|
| 318 |
"path": "data/episode128_task_model_radar.json",
|
| 319 |
-
"bytes":
|
| 320 |
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|
| 321 |
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| 322 |
{
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|
@@ -351,7 +351,7 @@
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|
| 351 |
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|
| 352 |
{
|
| 353 |
"path": "data/mirror_parity.json",
|
| 354 |
-
"bytes":
|
| 355 |
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|
| 356 |
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|
| 357 |
{
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|
@@ -486,12 +486,12 @@
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|
| 486 |
},
|
| 487 |
{
|
| 488 |
"path": "data/task_method_20_gap_audit.json",
|
| 489 |
-
"bytes":
|
| 490 |
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|
| 491 |
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|
| 492 |
{
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| 493 |
"path": "data/task_method_20_result_matrix.json",
|
| 494 |
-
"bytes":
|
| 495 |
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|
| 496 |
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|
| 497 |
{
|
|
@@ -526,7 +526,7 @@
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|
| 526 |
},
|
| 527 |
{
|
| 528 |
"path": "data/unified_task_model_radar.json",
|
| 529 |
-
"bytes":
|
| 530 |
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|
| 531 |
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|
| 532 |
{
|
|
@@ -571,7 +571,7 @@
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|
| 571 |
{
|
| 572 |
"path": "assets/charts/episode128_task_model_radar.svg",
|
| 573 |
"exists": true,
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| 574 |
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"bytes":
|
| 575 |
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|
| 576 |
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|
| 577 |
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|
|
@@ -641,7 +641,7 @@
|
|
| 641 |
{
|
| 642 |
"path": "assets/charts/unified_task_model_radar.svg",
|
| 643 |
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| 644 |
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| 645 |
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| 646 |
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| 647 |
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|
| 1 |
{
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| 2 |
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| 3 |
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"generated_at_utc": "2026-06-18T21:01:47+00:00",
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| 4 |
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| 5 |
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| 6 |
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|
|
|
| 80 |
"name": "project_overview_precedes_progress_ledger",
|
| 81 |
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|
| 82 |
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|
| 83 |
+
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| 84 |
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|
| 85 |
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|
| 86 |
{
|
| 87 |
"name": "project_status_links_json",
|
|
|
|
| 159 |
"name": "evaluation_protocol_between_overview_and_progress",
|
| 160 |
"status": "pass",
|
| 161 |
"reason": "The evaluation protocol should appear before the deeper evidence ledger.",
|
| 162 |
+
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|
| 163 |
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|
| 164 |
+
"evidence_index": 132094
|
| 165 |
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|
| 166 |
{
|
| 167 |
"name": "evaluation_protocol_links_json",
|
|
|
|
| 301 |
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|
| 302 |
{
|
| 303 |
"path": "data/artifact_index.json",
|
| 304 |
+
"bytes": 116643,
|
| 305 |
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|
| 306 |
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| 307 |
{
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|
|
|
| 316 |
},
|
| 317 |
{
|
| 318 |
"path": "data/episode128_task_model_radar.json",
|
| 319 |
+
"bytes": 185379,
|
| 320 |
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|
| 321 |
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|
| 322 |
{
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|
| 351 |
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|
| 352 |
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|
| 353 |
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| 354 |
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"bytes": 931759,
|
| 355 |
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|
| 356 |
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| 357 |
{
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|
|
| 486 |
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|
| 487 |
{
|
| 488 |
"path": "data/task_method_20_gap_audit.json",
|
| 489 |
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"bytes": 30524,
|
| 490 |
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|
| 491 |
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| 492 |
{
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| 493 |
"path": "data/task_method_20_result_matrix.json",
|
| 494 |
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"bytes": 128837,
|
| 495 |
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|
| 496 |
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| 497 |
{
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|
|
| 526 |
},
|
| 527 |
{
|
| 528 |
"path": "data/unified_task_model_radar.json",
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| 529 |
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"bytes": 229232,
|
| 530 |
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| 531 |
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| 532 |
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|
@@ -3763,17 +3763,17 @@
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| 3763 |
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| 3774 |
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| 3776 |
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| 3777 |
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| 3778 |
{
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| 3779 |
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|
@@ -4141,17 +4141,17 @@
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|
| 4141 |
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| 4142 |
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| 4156 |
{
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| 4157 |
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{
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"title": "128-Episode 20-Task Radar",
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|
|
| 171 |
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| 172 |
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| 173 |
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| 175 |
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| 190 |
],
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| 1451 |
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| 1724 |
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| 1730 |
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| 1737 |
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| 1738 |
},
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| 3763 |
"task_label": "Long-Horizon Next-Subtask Forecasting",
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| 3764 |
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| 3765 |
"method": "Cosmos3-Nano Future Window",
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| 3766 |
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| 3774 |
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| 3775 |
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| 3776 |
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| 3777 |
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| 3778 |
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| 3779 |
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|
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| 4141 |
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| 4142 |
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| 4143 |
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| 4144 |
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| 4152 |
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| 4153 |
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| 4156 |
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| 4157 |
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docs/data/mirror_parity.json
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{
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@@ -138,45 +138,45 @@
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| 175 |
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| 176 |
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@@ -923,44 +923,44 @@
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"hf_artifacts": {
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| 947 |
"hf_model_data": {
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| 948 |
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"title": "Single-Episode 20-Task Radar",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-18T20:58:30+00:00",
|
| 5 |
"description": "Minimal and Neural MLP baselines on the one public sample episode, both scored on all 20 task contracts.",
|
| 6 |
"task_count": 20,
|
| 7 |
"method_count": 2,
|
docs/data/source_alignment_audit.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Source Alignment Note",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
|
| 6 |
"alignment_summary": {
|
| 7 |
"full_dataset_repo": "ropedia-ai/xperience-10m",
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Source Alignment Note",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-18T21:01:45+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_method_20_gap_audit.json
CHANGED
|
@@ -1,10 +1,10 @@
|
|
| 1 |
{
|
| 2 |
-
"generated_at_utc": "2026-06-18T20:
|
| 3 |
"immediate_actions": [
|
| 4 |
{
|
| 5 |
"artifact": "docs/data/task_method_20_gap_audit.json",
|
| 6 |
"id": "gap_audit",
|
| 7 |
-
"purpose": "Keep the
|
| 8 |
},
|
| 9 |
{
|
| 10 |
"artifact": "scripts/omni/score_model_output_probes.py",
|
|
@@ -24,11 +24,11 @@
|
|
| 24 |
"proxy_scored_task_count": 0,
|
| 25 |
"result_record_count": 20,
|
| 26 |
"scope": "128 selected episodes, held-out test",
|
| 27 |
-
"scored_task_count":
|
| 28 |
-
"scoreless_task_count":
|
| 29 |
"status_counts": {
|
| 30 |
-
"not_evaluated_in_verified_package":
|
| 31 |
-
"scored":
|
| 32 |
}
|
| 33 |
},
|
| 34 |
"cosmos3_super_reasoner": {
|
|
@@ -135,14 +135,14 @@
|
|
| 135 |
}
|
| 136 |
},
|
| 137 |
"missing_by_method": {
|
| 138 |
-
"cosmos3_nano_future_window":
|
| 139 |
"cosmos3_super_reasoner": 11,
|
| 140 |
"metadata128_neural_mlp": 2,
|
| 141 |
"metadata128_simple": 2,
|
| 142 |
"qwen3_omni_v6_lora": 5
|
| 143 |
},
|
| 144 |
"missing_by_status": {
|
| 145 |
-
"not_evaluated_in_verified_package":
|
| 146 |
"not_supported_by_metadata_only_package": 2,
|
| 147 |
"unsupported_without_required_target": 2
|
| 148 |
},
|
|
@@ -178,7 +178,6 @@
|
|
| 178 |
"cosmos3_super_reasoner"
|
| 179 |
],
|
| 180 |
"14 Long-Horizon Next-Subtask Forecasting": [
|
| 181 |
-
"cosmos3_nano_future_window",
|
| 182 |
"cosmos3_super_reasoner"
|
| 183 |
],
|
| 184 |
"15 Interaction Text Prediction": [
|
|
@@ -192,7 +191,6 @@
|
|
| 192 |
"cosmos3_nano_future_window"
|
| 193 |
],
|
| 194 |
"17 Future Object-Set Forecasting": [
|
| 195 |
-
"cosmos3_nano_future_window",
|
| 196 |
"cosmos3_super_reasoner"
|
| 197 |
],
|
| 198 |
"18 IMU-to-Hand Pose Reconstruction": [
|
|
@@ -404,19 +402,6 @@
|
|
| 404 |
"task_label": "Long-Horizon Next-Subtask Forecasting",
|
| 405 |
"task_number": 14
|
| 406 |
},
|
| 407 |
-
{
|
| 408 |
-
"method": "Cosmos3-Nano Future Window",
|
| 409 |
-
"metric_key": "macro_f1",
|
| 410 |
-
"reason": "the verified public model package did not ask this branch to emit that task target; a new task-specific evaluation package is required for a numeric score",
|
| 411 |
-
"recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
|
| 412 |
-
"scope": "multi_episode_128_partial_model_overlay",
|
| 413 |
-
"series_id": "cosmos3_nano_future_window",
|
| 414 |
-
"status": "not_evaluated_in_verified_package",
|
| 415 |
-
"status_label": "not evaluated",
|
| 416 |
-
"task_id": "next_subtask_forecast",
|
| 417 |
-
"task_label": "Long-Horizon Next-Subtask Forecasting",
|
| 418 |
-
"task_number": 14
|
| 419 |
-
},
|
| 420 |
{
|
| 421 |
"method": "128ep Aligned Simple",
|
| 422 |
"metric_key": "macro_f1",
|
|
@@ -508,19 +493,6 @@
|
|
| 508 |
"task_label": "Future Object-Set Forecasting",
|
| 509 |
"task_number": 17
|
| 510 |
},
|
| 511 |
-
{
|
| 512 |
-
"method": "Cosmos3-Nano Future Window",
|
| 513 |
-
"metric_key": "micro_f1",
|
| 514 |
-
"reason": "the verified public model package did not ask this branch to emit that task target; a new task-specific evaluation package is required for a numeric score",
|
| 515 |
-
"recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
|
| 516 |
-
"scope": "multi_episode_128_partial_model_overlay",
|
| 517 |
-
"series_id": "cosmos3_nano_future_window",
|
| 518 |
-
"status": "not_evaluated_in_verified_package",
|
| 519 |
-
"status_label": "not evaluated",
|
| 520 |
-
"task_id": "object_set_forecast",
|
| 521 |
-
"task_label": "Future Object-Set Forecasting",
|
| 522 |
-
"task_number": 17
|
| 523 |
-
},
|
| 524 |
{
|
| 525 |
"method": "Qwen3-Omni v6 LoRA",
|
| 526 |
"metric_key": "mae",
|
|
@@ -672,8 +644,8 @@
|
|
| 672 |
"method_count": 9,
|
| 673 |
"method_task_record_count": 180,
|
| 674 |
"proxy_scored_method_task_count": 4,
|
| 675 |
-
"scored_method_task_count":
|
| 676 |
-
"scoreless_method_task_count":
|
| 677 |
"task_count": 20
|
| 678 |
},
|
| 679 |
"source_matrix": "docs/data/task_method_20_result_matrix.json",
|
|
|
|
| 1 |
{
|
| 2 |
+
"generated_at_utc": "2026-06-18T20:58:31+00:00",
|
| 3 |
"immediate_actions": [
|
| 4 |
{
|
| 5 |
"artifact": "docs/data/task_method_20_gap_audit.json",
|
| 6 |
"id": "gap_audit",
|
| 7 |
+
"purpose": "Keep the 30 scoreless cells visible and reproducible."
|
| 8 |
},
|
| 9 |
{
|
| 10 |
"artifact": "scripts/omni/score_model_output_probes.py",
|
|
|
|
| 24 |
"proxy_scored_task_count": 0,
|
| 25 |
"result_record_count": 20,
|
| 26 |
"scope": "128 selected episodes, held-out test",
|
| 27 |
+
"scored_task_count": 10,
|
| 28 |
+
"scoreless_task_count": 10,
|
| 29 |
"status_counts": {
|
| 30 |
+
"not_evaluated_in_verified_package": 10,
|
| 31 |
+
"scored": 10
|
| 32 |
}
|
| 33 |
},
|
| 34 |
"cosmos3_super_reasoner": {
|
|
|
|
| 135 |
}
|
| 136 |
},
|
| 137 |
"missing_by_method": {
|
| 138 |
+
"cosmos3_nano_future_window": 10,
|
| 139 |
"cosmos3_super_reasoner": 11,
|
| 140 |
"metadata128_neural_mlp": 2,
|
| 141 |
"metadata128_simple": 2,
|
| 142 |
"qwen3_omni_v6_lora": 5
|
| 143 |
},
|
| 144 |
"missing_by_status": {
|
| 145 |
+
"not_evaluated_in_verified_package": 26,
|
| 146 |
"not_supported_by_metadata_only_package": 2,
|
| 147 |
"unsupported_without_required_target": 2
|
| 148 |
},
|
|
|
|
| 178 |
"cosmos3_super_reasoner"
|
| 179 |
],
|
| 180 |
"14 Long-Horizon Next-Subtask Forecasting": [
|
|
|
|
| 181 |
"cosmos3_super_reasoner"
|
| 182 |
],
|
| 183 |
"15 Interaction Text Prediction": [
|
|
|
|
| 191 |
"cosmos3_nano_future_window"
|
| 192 |
],
|
| 193 |
"17 Future Object-Set Forecasting": [
|
|
|
|
| 194 |
"cosmos3_super_reasoner"
|
| 195 |
],
|
| 196 |
"18 IMU-to-Hand Pose Reconstruction": [
|
|
|
|
| 402 |
"task_label": "Long-Horizon Next-Subtask Forecasting",
|
| 403 |
"task_number": 14
|
| 404 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 405 |
{
|
| 406 |
"method": "128ep Aligned Simple",
|
| 407 |
"metric_key": "macro_f1",
|
|
|
|
| 493 |
"task_label": "Future Object-Set Forecasting",
|
| 494 |
"task_number": 17
|
| 495 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 496 |
{
|
| 497 |
"method": "Qwen3-Omni v6 LoRA",
|
| 498 |
"metric_key": "mae",
|
|
|
|
| 644 |
"method_count": 9,
|
| 645 |
"method_task_record_count": 180,
|
| 646 |
"proxy_scored_method_task_count": 4,
|
| 647 |
+
"scored_method_task_count": 150,
|
| 648 |
+
"scoreless_method_task_count": 30,
|
| 649 |
"task_count": 20
|
| 650 |
},
|
| 651 |
"source_matrix": "docs/data/task_method_20_result_matrix.json",
|
docs/data/task_method_20_result_matrix.json
CHANGED
|
@@ -1,11 +1,11 @@
|
|
| 1 |
{
|
| 2 |
"title": "Task Method 20-Result Matrix",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-18T20:
|
| 5 |
"task_count": 20,
|
| 6 |
"method_count": 9,
|
| 7 |
"method_task_record_count": 180,
|
| 8 |
-
"scored_method_task_count":
|
| 9 |
"series": [
|
| 10 |
{
|
| 11 |
"id": "minimal",
|
|
@@ -205,20 +205,20 @@
|
|
| 205 |
"kind": "partial_128_episode_world_model_overlay",
|
| 206 |
"scope": "128 selected episodes, held-out test",
|
| 207 |
"stroke_dasharray": "2 7",
|
| 208 |
-
"method_detail": "Verified Cosmos3-Nano future-window compatibility metrics, plus
|
| 209 |
"plotted_as": "colored point overlay",
|
| 210 |
"result_record_count": 20,
|
| 211 |
-
"scored_task_count":
|
| 212 |
-
"covered_task_count":
|
| 213 |
"proxy_scored_task_count": 0,
|
| 214 |
-
"scoreless_task_count":
|
| 215 |
"unsupported_task_count": 0,
|
| 216 |
-
"not_evaluated_task_count":
|
| 217 |
"status_counts": {
|
| 218 |
-
"not_evaluated_in_verified_package":
|
| 219 |
-
"scored":
|
| 220 |
},
|
| 221 |
-
"coverage_fraction": 0.
|
| 222 |
"result_record_fraction": 1.0
|
| 223 |
}
|
| 224 |
],
|
|
@@ -2479,17 +2479,17 @@
|
|
| 2479 |
"task_label": "Long-Horizon Next-Subtask Forecasting",
|
| 2480 |
"series_id": "cosmos3_nano_future_window",
|
| 2481 |
"method": "Cosmos3-Nano Future Window",
|
| 2482 |
-
"status": "
|
| 2483 |
-
"status_label": "
|
| 2484 |
-
"scored":
|
| 2485 |
"proxy_scored": false,
|
| 2486 |
-
"raw":
|
| 2487 |
-
"raw_text": "
|
| 2488 |
-
"normalized_score":
|
| 2489 |
-
"metric_key": "
|
| 2490 |
-
"source":
|
| 2491 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 2492 |
-
"reason":
|
| 2493 |
},
|
| 2494 |
{
|
| 2495 |
"task_number": 15,
|
|
@@ -2965,17 +2965,17 @@
|
|
| 2965 |
"task_label": "Future Object-Set Forecasting",
|
| 2966 |
"series_id": "cosmos3_nano_future_window",
|
| 2967 |
"method": "Cosmos3-Nano Future Window",
|
| 2968 |
-
"status": "
|
| 2969 |
-
"status_label": "
|
| 2970 |
-
"scored":
|
| 2971 |
"proxy_scored": false,
|
| 2972 |
-
"raw":
|
| 2973 |
-
"raw_text": "
|
| 2974 |
-
"normalized_score":
|
| 2975 |
-
"metric_key": "
|
| 2976 |
-
"source":
|
| 2977 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 2978 |
-
"reason":
|
| 2979 |
},
|
| 2980 |
{
|
| 2981 |
"task_number": 18,
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Task Method 20-Result Matrix",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-18T20:58:30+00:00",
|
| 5 |
"task_count": 20,
|
| 6 |
"method_count": 9,
|
| 7 |
"method_task_record_count": 180,
|
| 8 |
+
"scored_method_task_count": 150,
|
| 9 |
"series": [
|
| 10 |
{
|
| 11 |
"id": "minimal",
|
|
|
|
| 205 |
"kind": "partial_128_episode_world_model_overlay",
|
| 206 |
"scope": "128 selected episodes, held-out test",
|
| 207 |
"stroke_dasharray": "2 7",
|
| 208 |
+
"method_detail": "Verified Cosmos3-Nano future-window compatibility metrics, plus tasks 10/13/14/17 and a derived task-20 boundary timing probe scored from existing held-out future-window artifacts.",
|
| 209 |
"plotted_as": "colored point overlay",
|
| 210 |
"result_record_count": 20,
|
| 211 |
+
"scored_task_count": 10,
|
| 212 |
+
"covered_task_count": 10,
|
| 213 |
"proxy_scored_task_count": 0,
|
| 214 |
+
"scoreless_task_count": 10,
|
| 215 |
"unsupported_task_count": 0,
|
| 216 |
+
"not_evaluated_task_count": 10,
|
| 217 |
"status_counts": {
|
| 218 |
+
"not_evaluated_in_verified_package": 10,
|
| 219 |
+
"scored": 10
|
| 220 |
},
|
| 221 |
+
"coverage_fraction": 0.5,
|
| 222 |
"result_record_fraction": 1.0
|
| 223 |
}
|
| 224 |
],
|
|
|
|
| 2479 |
"task_label": "Long-Horizon Next-Subtask Forecasting",
|
| 2480 |
"series_id": "cosmos3_nano_future_window",
|
| 2481 |
"method": "Cosmos3-Nano Future Window",
|
| 2482 |
+
"status": "scored",
|
| 2483 |
+
"status_label": "scored",
|
| 2484 |
+
"scored": true,
|
| 2485 |
"proxy_scored": false,
|
| 2486 |
+
"raw": 0.006614876224708678,
|
| 2487 |
+
"raw_text": "0.0066",
|
| 2488 |
+
"normalized_score": 0.006614876224708678,
|
| 2489 |
+
"metric_key": "next_subtask_forecast_macro_f1",
|
| 2490 |
+
"source": "results/omni_finetune/model_output_task_probes_20260616/next_subtask_forecast/cosmos3_nano_future_window/metrics.json",
|
| 2491 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 2492 |
+
"reason": null
|
| 2493 |
},
|
| 2494 |
{
|
| 2495 |
"task_number": 15,
|
|
|
|
| 2965 |
"task_label": "Future Object-Set Forecasting",
|
| 2966 |
"series_id": "cosmos3_nano_future_window",
|
| 2967 |
"method": "Cosmos3-Nano Future Window",
|
| 2968 |
+
"status": "scored",
|
| 2969 |
+
"status_label": "scored",
|
| 2970 |
+
"scored": true,
|
| 2971 |
"proxy_scored": false,
|
| 2972 |
+
"raw": 0.01781970649895178,
|
| 2973 |
+
"raw_text": "0.0178",
|
| 2974 |
+
"normalized_score": 0.01781970649895178,
|
| 2975 |
+
"metric_key": "object_set_forecast_micro_f1",
|
| 2976 |
+
"source": "results/omni_finetune/model_output_task_probes_20260616/object_set_forecast/cosmos3_nano_future_window/metrics.json",
|
| 2977 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 2978 |
+
"reason": null
|
| 2979 |
},
|
| 2980 |
{
|
| 2981 |
"task_number": 18,
|
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": "2026-06-18T21:01:45+00:00",
|
| 4 |
"summary": {
|
| 5 |
"task_count": 12,
|
| 6 |
"expected_task_count": 12,
|
docs/data/unified_task_model_radar.json
CHANGED
|
@@ -1,11 +1,11 @@
|
|
| 1 |
{
|
| 2 |
"title": "Unified 20-Task Model Radar",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-18T20:
|
| 5 |
"task_count": 20,
|
| 6 |
"method_count": 9,
|
| 7 |
"method_task_record_count": 180,
|
| 8 |
-
"scored_method_task_count":
|
| 9 |
"normalization_policy": {
|
| 10 |
"higher_is_better": "bounded metrics are plotted directly on 0-1 axes after clipping to [0, 1]",
|
| 11 |
"lower_is_better": "lower-error metrics are converted to best_observed_value / raw_value within the same task",
|
|
@@ -214,20 +214,20 @@
|
|
| 214 |
"kind": "partial_128_episode_world_model_overlay",
|
| 215 |
"scope": "128 selected episodes, held-out test",
|
| 216 |
"stroke_dasharray": "2 7",
|
| 217 |
-
"method_detail": "Verified Cosmos3-Nano future-window compatibility metrics, plus
|
| 218 |
"plotted_as": "colored point overlay",
|
| 219 |
"result_record_count": 20,
|
| 220 |
-
"scored_task_count":
|
| 221 |
-
"covered_task_count":
|
| 222 |
"proxy_scored_task_count": 0,
|
| 223 |
-
"scoreless_task_count":
|
| 224 |
"unsupported_task_count": 0,
|
| 225 |
-
"not_evaluated_task_count":
|
| 226 |
"status_counts": {
|
| 227 |
-
"not_evaluated_in_verified_package":
|
| 228 |
-
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|
| 229 |
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|
| 230 |
-
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|
| 231 |
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|
| 232 |
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|
| 233 |
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|
|
@@ -1707,6 +1707,17 @@
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|
| 1707 |
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| 1708 |
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| 1709 |
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|
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|
|
| 1710 |
"qwen3_omni_v6_lora": {
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| 1711 |
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| 1712 |
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|
@@ -1772,17 +1783,6 @@
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| 1772 |
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|
| 1773 |
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| 1774 |
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| 1775 |
-
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| 1777 |
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|
| 1778 |
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| 1779 |
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| 1780 |
-
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|
| 1781 |
-
"status": "not_evaluated_in_verified_package",
|
| 1782 |
-
"reason": "the verified public model package did not ask this branch to emit that task target; a new task-specific evaluation package is required for a numeric score",
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| 1783 |
-
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|
| 1784 |
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"raw_text": "n/a",
|
| 1785 |
-
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|
| 1786 |
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| 1787 |
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| 1788 |
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|
@@ -2040,6 +2040,17 @@
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| 2040 |
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| 2041 |
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|
| 2043 |
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| 2045 |
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|
@@ -2105,17 +2116,6 @@
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| 2105 |
"normalized_score": null,
|
| 2106 |
"raw_text": "n/a",
|
| 2107 |
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|
| 2108 |
-
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| 2109 |
-
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|
| 2110 |
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|
| 2111 |
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| 2112 |
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| 2113 |
-
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|
| 2114 |
-
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| 2115 |
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| 2116 |
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|
| 2117 |
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| 2118 |
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|
| 2119 |
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| 2120 |
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| 2121 |
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|
@@ -2507,7 +2507,7 @@
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|
| 2507 |
"id": "cosmos3_nano_future_window",
|
| 2508 |
"title": "Cosmos3-Nano Future Window",
|
| 2509 |
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|
| 2510 |
-
"coverage": "20 records /
|
| 2511 |
"headline": "future retrieval MRR 0.0221; transition accuracy 0.9683",
|
| 2512 |
"source": "results/omni_finetune/verified_public/xperience10m_cosmos3_nano_128ep_future_window_h5_compat_adapter_eval_test_full/eval/metrics.json"
|
| 2513 |
},
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|
@@ -4777,17 +4777,17 @@
|
|
| 4777 |
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|
| 4778 |
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|
| 4779 |
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|
| 4780 |
-
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| 4781 |
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| 4782 |
-
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| 4783 |
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| 4784 |
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| 4787 |
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| 4788 |
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| 4789 |
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|
| 4790 |
-
"reason":
|
| 4791 |
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|
| 4792 |
{
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| 4793 |
"task_number": 15,
|
|
@@ -5263,17 +5263,17 @@
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|
| 5263 |
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|
| 5264 |
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| 5265 |
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| 5276 |
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| 5278 |
{
|
| 5279 |
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|
|
| 1 |
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| 2 |
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|
| 3 |
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| 4 |
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| 11 |
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|
|
|
| 214 |
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| 215 |
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| 216 |
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| 217 |
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| 218 |
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| 2119 |
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| 2507 |
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| 2509 |
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| 2510 |
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| 2511 |
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| 2513 |
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| 4777 |
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| 4778 |
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| 4779 |
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| 4780 |
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| 4789 |
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| 5263 |
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| 5264 |
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| 5265 |
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| 5266 |
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| 5275 |
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| 5278 |
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| 5279 |
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docs/data/website_integrity.json
CHANGED
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@@ -1,6 +1,6 @@
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| 1 |
{
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| 2 |
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| 3 |
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"generated_at_utc": "2026-06-
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| 4 |
"docs_root": "docs",
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| 5 |
"site_base": "/ropedia-xperience-10m-task-suite/",
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| 6 |
"summary": {
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|
@@ -80,8 +80,8 @@
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|
| 80 |
"name": "project_overview_precedes_progress_ledger",
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| 81 |
"status": "pass",
|
| 82 |
"reason": "The project overview should appear before the deeper progress ledger.",
|
| 83 |
-
"overview_index":
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| 84 |
-
"evidence_index":
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| 85 |
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| 86 |
{
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| 87 |
"name": "project_status_links_json",
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|
@@ -159,9 +159,9 @@
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|
| 159 |
"name": "evaluation_protocol_between_overview_and_progress",
|
| 160 |
"status": "pass",
|
| 161 |
"reason": "The evaluation protocol should appear before the deeper evidence ledger.",
|
| 162 |
-
"overview_index":
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| 163 |
-
"protocol_index":
|
| 164 |
-
"evidence_index":
|
| 165 |
},
|
| 166 |
{
|
| 167 |
"name": "evaluation_protocol_links_json",
|
|
@@ -301,7 +301,7 @@
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|
| 301 |
},
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| 302 |
{
|
| 303 |
"path": "data/artifact_index.json",
|
| 304 |
-
"bytes":
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| 305 |
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| 306 |
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| 307 |
{
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|
@@ -316,7 +316,7 @@
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|
| 316 |
},
|
| 317 |
{
|
| 318 |
"path": "data/episode128_task_model_radar.json",
|
| 319 |
-
"bytes":
|
| 320 |
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|
| 321 |
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| 322 |
{
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|
@@ -351,7 +351,7 @@
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|
| 351 |
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| 352 |
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|
| 353 |
"path": "data/mirror_parity.json",
|
| 354 |
-
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|
| 355 |
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|
| 356 |
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| 357 |
{
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|
@@ -486,12 +486,12 @@
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|
| 486 |
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|
| 487 |
{
|
| 488 |
"path": "data/task_method_20_gap_audit.json",
|
| 489 |
-
"bytes":
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| 490 |
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|
| 491 |
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|
| 492 |
{
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| 493 |
"path": "data/task_method_20_result_matrix.json",
|
| 494 |
-
"bytes":
|
| 495 |
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|
| 496 |
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| 497 |
{
|
|
@@ -526,7 +526,7 @@
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|
| 526 |
},
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| 527 |
{
|
| 528 |
"path": "data/unified_task_model_radar.json",
|
| 529 |
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"bytes":
|
| 530 |
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|
| 531 |
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|
| 532 |
{
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|
@@ -571,7 +571,7 @@
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|
| 571 |
{
|
| 572 |
"path": "assets/charts/episode128_task_model_radar.svg",
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| 573 |
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| 574 |
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| 575 |
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| 576 |
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| 577 |
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|
@@ -641,7 +641,7 @@
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|
| 641 |
{
|
| 642 |
"path": "assets/charts/unified_task_model_radar.svg",
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| 643 |
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| 644 |
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| 645 |
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| 646 |
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| 647 |
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|
| 1 |
{
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| 2 |
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"generated_at_utc": "2026-06-18T21:01:47+00:00",
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| 4 |
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| 5 |
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| 6 |
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|
| 80 |
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| 81 |
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| 82 |
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|
| 83 |
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| 84 |
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| 85 |
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| 86 |
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| 87 |
"name": "project_status_links_json",
|
|
|
|
| 159 |
"name": "evaluation_protocol_between_overview_and_progress",
|
| 160 |
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|
| 161 |
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|
| 162 |
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|
| 163 |
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|
| 164 |
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|
| 165 |
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|
| 166 |
{
|
| 167 |
"name": "evaluation_protocol_links_json",
|
|
|
|
| 301 |
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| 302 |
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| 303 |
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|
| 304 |
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"bytes": 116643,
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| 305 |
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|
| 306 |
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| 307 |
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|
|
| 316 |
},
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| 317 |
{
|
| 318 |
"path": "data/episode128_task_model_radar.json",
|
| 319 |
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|
| 320 |
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|
| 321 |
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| 322 |
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| 351 |
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| 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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| 357 |
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| 486 |
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|
| 487 |
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| 488 |
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| 489 |
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"bytes": 30524,
|
| 490 |
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| 491 |
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| 492 |
{
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| 493 |
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|
| 494 |
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"bytes": 128837,
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| 495 |
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| 496 |
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| 497 |
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| 526 |
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| 527 |
{
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| 528 |
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| 529 |
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| 530 |
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| 531 |
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| 532 |
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| 571 |
{
|
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"path": "assets/charts/episode128_task_model_radar.svg",
|
| 573 |
"exists": true,
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"bytes": 48593,
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"format": "SVG",
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"has_viewbox": true
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{
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"path": "assets/charts/unified_task_model_radar.svg",
|
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"exists": true,
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+
"bytes": 54606,
|
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"format": "SVG",
|
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|
| 647 |
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|
docs/index.html
CHANGED
|
@@ -3148,7 +3148,7 @@
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| 3148 |
<div class="hero-radar-panel" aria-label="Unified 20-task radar comparison">
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| 3149 |
<div class="hero-radar-top">
|
| 3150 |
<strong>home radar comparison</strong>
|
| 3151 |
-
<span>180 method-task records /
|
| 3152 |
</div>
|
| 3153 |
<div class="hero-radar-layout">
|
| 3154 |
<a class="hero-radar-frame" href="#suite" aria-label="Open full unified 20-task model radar">
|
|
@@ -3159,14 +3159,14 @@
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| 3159 |
<p>The full SVG names every axis and keeps 20-result records, scored-axis counts, raw metric sources, and proxy notes attached to the same comparison view.</p>
|
| 3160 |
<div class="hero-radar-stats" aria-label="Radar coverage summary">
|
| 3161 |
<div class="hero-radar-stat"><strong>180</strong><span>method-task records</span></div>
|
| 3162 |
-
<div class="hero-radar-stat"><strong>
|
| 3163 |
<div class="hero-radar-stat"><strong>40/40</strong><span>raw128 pass</span></div>
|
| 3164 |
<div class="hero-radar-stat"><strong>34,269</strong><span>128ep windows</span></div>
|
| 3165 |
</div>
|
| 3166 |
<div class="hero-method-list" aria-label="Method families shown in the radar">
|
| 3167 |
<div class="hero-method" style="--method-color:#67e8d1"><strong>Minimal + Neural MLP</strong><span>Single public-sample episode, full 20-task filled polygons.</span></div>
|
| 3168 |
<div class="hero-method" style="--method-color:#f59e0b"><strong>128ep Metadata + Raw Baselines</strong><span>Every method has 20 records; raw NPZ heads score all 20 axes, with tasks 15 and 19 marked as compact proxies.</span></div>
|
| 3169 |
-
<div class="hero-method" style="--method-color:#9bb8ff"><strong>Qwen3-Omni + Cosmos</strong><span>Verified held-out branches carry 20 records; task 16 uses existing action/object JSON and Cosmos3-Nano
|
| 3170 |
</div>
|
| 3171 |
<div class="hero-task-strip" aria-label="Radar task axis examples">
|
| 3172 |
<span>01 Action Recognition</span>
|
|
@@ -4021,7 +4021,7 @@
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|
| 4021 |
</article>
|
| 4022 |
<article class="figure-brief-card">
|
| 4023 |
<h3>Score gap audit</h3>
|
| 4024 |
-
<p>The matrix has 180 method-task records and
|
| 4025 |
</article>
|
| 4026 |
</div>
|
| 4027 |
<img class="chart" src="assets/charts/unified_task_model_radar.svg?v=xperience10m-20task-radar-v6" alt="Unified 20-task radar comparing Minimal, Neural MLP, 128-episode metadata/raw baselines, Qwen3-Omni, and Cosmos3 with task names, method details, 20-record counts, scored-axis counts, and proxy notes">
|
|
|
|
| 3148 |
<div class="hero-radar-panel" aria-label="Unified 20-task radar comparison">
|
| 3149 |
<div class="hero-radar-top">
|
| 3150 |
<strong>home radar comparison</strong>
|
| 3151 |
+
<span>180 method-task records / 150 scored axes / raw128 complete with 2 documented proxy axes</span>
|
| 3152 |
</div>
|
| 3153 |
<div class="hero-radar-layout">
|
| 3154 |
<a class="hero-radar-frame" href="#suite" aria-label="Open full unified 20-task model radar">
|
|
|
|
| 3159 |
<p>The full SVG names every axis and keeps 20-result records, scored-axis counts, raw metric sources, and proxy notes attached to the same comparison view.</p>
|
| 3160 |
<div class="hero-radar-stats" aria-label="Radar coverage summary">
|
| 3161 |
<div class="hero-radar-stat"><strong>180</strong><span>method-task records</span></div>
|
| 3162 |
+
<div class="hero-radar-stat"><strong>150</strong><span>scored axes</span></div>
|
| 3163 |
<div class="hero-radar-stat"><strong>40/40</strong><span>raw128 pass</span></div>
|
| 3164 |
<div class="hero-radar-stat"><strong>34,269</strong><span>128ep windows</span></div>
|
| 3165 |
</div>
|
| 3166 |
<div class="hero-method-list" aria-label="Method families shown in the radar">
|
| 3167 |
<div class="hero-method" style="--method-color:#67e8d1"><strong>Minimal + Neural MLP</strong><span>Single public-sample episode, full 20-task filled polygons.</span></div>
|
| 3168 |
<div class="hero-method" style="--method-color:#f59e0b"><strong>128ep Metadata + Raw Baselines</strong><span>Every method has 20 records; raw NPZ heads score all 20 axes, with tasks 15 and 19 marked as compact proxies.</span></div>
|
| 3169 |
+
<div class="hero-method" style="--method-color:#9bb8ff"><strong>Qwen3-Omni + Cosmos</strong><span>Verified held-out branches carry 20 records; task 16 uses existing action/object JSON and Cosmos3-Nano tasks 13/14/17/20 use held-out future-window predictions.</span></div>
|
| 3170 |
</div>
|
| 3171 |
<div class="hero-task-strip" aria-label="Radar task axis examples">
|
| 3172 |
<span>01 Action Recognition</span>
|
|
|
|
| 4021 |
</article>
|
| 4022 |
<article class="figure-brief-card">
|
| 4023 |
<h3>Score gap audit</h3>
|
| 4024 |
+
<p>The matrix has 180 method-task records and 150 numeric scores. The gap audit lists every scoreless metadata/Qwen/Cosmos cell and the exact target or model-output evidence required before a new number can be published.</p>
|
| 4025 |
</article>
|
| 4026 |
</div>
|
| 4027 |
<img class="chart" src="assets/charts/unified_task_model_radar.svg?v=xperience10m-20task-radar-v6" alt="Unified 20-task radar comparing Minimal, Neural MLP, 128-episode metadata/raw baselines, Qwen3-Omni, and Cosmos3 with task names, method details, 20-record counts, scored-axis counts, and proxy notes">
|
index.html
CHANGED
|
@@ -3148,7 +3148,7 @@
|
|
| 3148 |
<div class="hero-radar-panel" aria-label="Unified 20-task radar comparison">
|
| 3149 |
<div class="hero-radar-top">
|
| 3150 |
<strong>home radar comparison</strong>
|
| 3151 |
-
<span>180 method-task records /
|
| 3152 |
</div>
|
| 3153 |
<div class="hero-radar-layout">
|
| 3154 |
<a class="hero-radar-frame" href="#suite" aria-label="Open full unified 20-task model radar">
|
|
@@ -3159,14 +3159,14 @@
|
|
| 3159 |
<p>The full SVG names every axis and keeps 20-result records, scored-axis counts, raw metric sources, and proxy notes attached to the same comparison view.</p>
|
| 3160 |
<div class="hero-radar-stats" aria-label="Radar coverage summary">
|
| 3161 |
<div class="hero-radar-stat"><strong>180</strong><span>method-task records</span></div>
|
| 3162 |
-
<div class="hero-radar-stat"><strong>
|
| 3163 |
<div class="hero-radar-stat"><strong>40/40</strong><span>raw128 pass</span></div>
|
| 3164 |
<div class="hero-radar-stat"><strong>34,269</strong><span>128ep windows</span></div>
|
| 3165 |
</div>
|
| 3166 |
<div class="hero-method-list" aria-label="Method families shown in the radar">
|
| 3167 |
<div class="hero-method" style="--method-color:#67e8d1"><strong>Minimal + Neural MLP</strong><span>Single public-sample episode, full 20-task filled polygons.</span></div>
|
| 3168 |
<div class="hero-method" style="--method-color:#f59e0b"><strong>128ep Metadata + Raw Baselines</strong><span>Every method has 20 records; raw NPZ heads score all 20 axes, with tasks 15 and 19 marked as compact proxies.</span></div>
|
| 3169 |
-
<div class="hero-method" style="--method-color:#9bb8ff"><strong>Qwen3-Omni + Cosmos</strong><span>Verified held-out branches carry 20 records; task 16 uses existing action/object JSON and Cosmos3-Nano
|
| 3170 |
</div>
|
| 3171 |
<div class="hero-task-strip" aria-label="Radar task axis examples">
|
| 3172 |
<span>01 Action Recognition</span>
|
|
@@ -4021,7 +4021,7 @@
|
|
| 4021 |
</article>
|
| 4022 |
<article class="figure-brief-card">
|
| 4023 |
<h3>Score gap audit</h3>
|
| 4024 |
-
<p>The matrix has 180 method-task records and
|
| 4025 |
</article>
|
| 4026 |
</div>
|
| 4027 |
<img class="chart" src="assets/charts/unified_task_model_radar.svg?v=xperience10m-20task-radar-v6" alt="Unified 20-task radar comparing Minimal, Neural MLP, 128-episode metadata/raw baselines, Qwen3-Omni, and Cosmos3 with task names, method details, 20-record counts, scored-axis counts, and proxy notes">
|
|
|
|
| 3148 |
<div class="hero-radar-panel" aria-label="Unified 20-task radar comparison">
|
| 3149 |
<div class="hero-radar-top">
|
| 3150 |
<strong>home radar comparison</strong>
|
| 3151 |
+
<span>180 method-task records / 150 scored axes / raw128 complete with 2 documented proxy axes</span>
|
| 3152 |
</div>
|
| 3153 |
<div class="hero-radar-layout">
|
| 3154 |
<a class="hero-radar-frame" href="#suite" aria-label="Open full unified 20-task model radar">
|
|
|
|
| 3159 |
<p>The full SVG names every axis and keeps 20-result records, scored-axis counts, raw metric sources, and proxy notes attached to the same comparison view.</p>
|
| 3160 |
<div class="hero-radar-stats" aria-label="Radar coverage summary">
|
| 3161 |
<div class="hero-radar-stat"><strong>180</strong><span>method-task records</span></div>
|
| 3162 |
+
<div class="hero-radar-stat"><strong>150</strong><span>scored axes</span></div>
|
| 3163 |
<div class="hero-radar-stat"><strong>40/40</strong><span>raw128 pass</span></div>
|
| 3164 |
<div class="hero-radar-stat"><strong>34,269</strong><span>128ep windows</span></div>
|
| 3165 |
</div>
|
| 3166 |
<div class="hero-method-list" aria-label="Method families shown in the radar">
|
| 3167 |
<div class="hero-method" style="--method-color:#67e8d1"><strong>Minimal + Neural MLP</strong><span>Single public-sample episode, full 20-task filled polygons.</span></div>
|
| 3168 |
<div class="hero-method" style="--method-color:#f59e0b"><strong>128ep Metadata + Raw Baselines</strong><span>Every method has 20 records; raw NPZ heads score all 20 axes, with tasks 15 and 19 marked as compact proxies.</span></div>
|
| 3169 |
+
<div class="hero-method" style="--method-color:#9bb8ff"><strong>Qwen3-Omni + Cosmos</strong><span>Verified held-out branches carry 20 records; task 16 uses existing action/object JSON and Cosmos3-Nano tasks 13/14/17/20 use held-out future-window predictions.</span></div>
|
| 3170 |
</div>
|
| 3171 |
<div class="hero-task-strip" aria-label="Radar task axis examples">
|
| 3172 |
<span>01 Action Recognition</span>
|
|
|
|
| 4021 |
</article>
|
| 4022 |
<article class="figure-brief-card">
|
| 4023 |
<h3>Score gap audit</h3>
|
| 4024 |
+
<p>The matrix has 180 method-task records and 150 numeric scores. The gap audit lists every scoreless metadata/Qwen/Cosmos cell and the exact target or model-output evidence required before a new number can be published.</p>
|
| 4025 |
</article>
|
| 4026 |
</div>
|
| 4027 |
<img class="chart" src="assets/charts/unified_task_model_radar.svg?v=xperience10m-20task-radar-v6" alt="Unified 20-task radar comparing Minimal, Neural MLP, 128-episode metadata/raw baselines, Qwen3-Omni, and Cosmos3 with task names, method details, 20-record counts, scored-axis counts, and proxy notes">
|
results/omni_finetune/model_output_task_probes_20260616/RUN_REPORT.md
CHANGED
|
@@ -1,13 +1,13 @@
|
|
| 1 |
# Existing Model-Output Task Probes
|
| 2 |
|
| 3 |
-
Generated: `2026-06-18T20:
|
| 4 |
|
| 5 |
This package scores only task targets already present in verified held-out
|
| 6 |
prediction JSON. It does not run new inference and does not infer targets that
|
| 7 |
are absent from a model branch.
|
| 8 |
|
| 9 |
-
| Method | ID | Status | Scored tasks | Task 13 macro-F1 | Task 16 macro-F1 | Task 20 MAE | Evidence |
|
| 10 |
-
| --- | --- | --- | --- | ---: | ---: | ---: | --- |
|
| 11 |
-
| Qwen3-Omni v6 LoRA | qwen3_omni_v6_lora | scored | action_object_relation | n/a | 0.000222 | n/a | results/omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full/eval/predictions.jsonl |
|
| 12 |
-
| Cosmos3-Super Reasoner | cosmos3_super_reasoner | scored | action_object_relation, long_horizon_next_action, time_to_transition | 0.008808 | 0.000000 | 52.946 | results/omni_finetune/verified_public/xperience10m_cosmos3_super_reasoner_128ep_test_full_20260607/eval/predictions.jsonl |
|
| 13 |
-
| Cosmos3-Nano Future Window | cosmos3_nano_future_window | scored | long_horizon_next_action, modality_reconstruction, time_to_transition | 0.002491 | n/a | 33.810 | results/omni_finetune/verified_public/xperience10m_cosmos3_nano_128ep_future_window_h5_compat_adapter_eval_test_full/eval/future_predictions.jsonl |
|
|
|
|
| 1 |
# Existing Model-Output Task Probes
|
| 2 |
|
| 3 |
+
Generated: `2026-06-18T20:58:30+00:00`
|
| 4 |
|
| 5 |
This package scores only task targets already present in verified held-out
|
| 6 |
prediction JSON. It does not run new inference and does not infer targets that
|
| 7 |
are absent from a model branch.
|
| 8 |
|
| 9 |
+
| Method | ID | Status | Scored tasks | Task 13 macro-F1 | Task 14 macro-F1 | Task 16 macro-F1 | Task 17 micro-F1 | Task 20 MAE | Evidence |
|
| 10 |
+
| --- | --- | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
|
| 11 |
+
| Qwen3-Omni v6 LoRA | qwen3_omni_v6_lora | scored | action_object_relation | n/a | n/a | 0.000222 | n/a | n/a | results/omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full/eval/predictions.jsonl |
|
| 12 |
+
| Cosmos3-Super Reasoner | cosmos3_super_reasoner | scored | action_object_relation, long_horizon_next_action, time_to_transition | 0.008808 | n/a | 0.000000 | n/a | 52.946 | results/omni_finetune/verified_public/xperience10m_cosmos3_super_reasoner_128ep_test_full_20260607/eval/predictions.jsonl |
|
| 13 |
+
| Cosmos3-Nano Future Window | cosmos3_nano_future_window | scored | long_horizon_next_action, modality_reconstruction, next_subtask_forecast, object_set_forecast, time_to_transition | 0.002491 | 0.006615 | n/a | 0.017820 | 33.810 | results/omni_finetune/verified_public/xperience10m_cosmos3_nano_128ep_future_window_h5_compat_adapter_eval_test_full/eval/future_predictions.jsonl |
|
results/omni_finetune/model_output_task_probes_20260616/modality_reconstruction/cosmos3_nano_future_window/metrics.json
CHANGED
|
@@ -4,7 +4,7 @@
|
|
| 4 |
},
|
| 5 |
"feature_reconstruction_error": 3479.218317102503,
|
| 6 |
"feature_reconstruction_quality": 0.0002873382957286892,
|
| 7 |
-
"generated_at_utc": "2026-06-18T20:
|
| 8 |
"known_limitation": "The metric is comparable as evidence that the branch emitted a reconstruction objective, but it should not be read as an R2 head trained on the exact simple baseline feature split.",
|
| 9 |
"metric_key": "feature_reconstruction_quality",
|
| 10 |
"model_id": "cosmos3_nano_future_window",
|
|
|
|
| 4 |
},
|
| 5 |
"feature_reconstruction_error": 3479.218317102503,
|
| 6 |
"feature_reconstruction_quality": 0.0002873382957286892,
|
| 7 |
+
"generated_at_utc": "2026-06-18T20:58:30+00:00",
|
| 8 |
"known_limitation": "The metric is comparable as evidence that the branch emitted a reconstruction objective, but it should not be read as an R2 head trained on the exact simple baseline feature split.",
|
| 9 |
"metric_key": "feature_reconstruction_quality",
|
| 10 |
"model_id": "cosmos3_nano_future_window",
|
results/omni_finetune/model_output_task_probes_20260616/next_subtask_forecast/cosmos3_nano_future_window/metrics.json
ADDED
|
@@ -0,0 +1,130 @@
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| 1 |
+
{
|
| 2 |
+
"accuracy": 0.015873015873015872,
|
| 3 |
+
"artifact_files": {
|
| 4 |
+
"metrics_json": "results/omni_finetune/model_output_task_probes_20260616/next_subtask_forecast/cosmos3_nano_future_window/metrics.json",
|
| 5 |
+
"per_class_metrics_csv": "results/omni_finetune/model_output_task_probes_20260616/next_subtask_forecast/cosmos3_nano_future_window/per_class_metrics.csv",
|
| 6 |
+
"predictions_csv": "results/omni_finetune/model_output_task_probes_20260616/next_subtask_forecast/cosmos3_nano_future_window/predictions.csv"
|
| 7 |
+
},
|
| 8 |
+
"generated_at_utc": "2026-06-18T20:58:30+00:00",
|
| 9 |
+
"known_limitation": "This is a retrieval-derived future-subtask score. It is not a separately prompted generative subtask head, but it is target-backed by verified future-record retrieval outputs.",
|
| 10 |
+
"labels": [
|
| 11 |
+
"Adjust lantern string and handle components",
|
| 12 |
+
"Adjusting and securing paper structure",
|
| 13 |
+
"Adjusting cookware",
|
| 14 |
+
"Adjusting paper edge and placing strip",
|
| 15 |
+
"Adjusting stock and finishing placement",
|
| 16 |
+
"Align paper lantern edges",
|
| 17 |
+
"Approach inventory boxes",
|
| 18 |
+
"Arrange buttons",
|
| 19 |
+
"Arrange buttons in a line",
|
| 20 |
+
"Assembling material pieces",
|
| 21 |
+
"Bending plastic strip",
|
| 22 |
+
"Browsing smartphone",
|
| 23 |
+
"Checking cooking pot",
|
| 24 |
+
"Checking smartphone",
|
| 25 |
+
"Cleaning cloth maintenance",
|
| 26 |
+
"Cleaning kitchen surfaces",
|
| 27 |
+
"Cooking at the stove",
|
| 28 |
+
"Count beads and retrieve more",
|
| 29 |
+
"Cut along the marked line",
|
| 30 |
+
"Cutting cardboard pieces",
|
| 31 |
+
"Document bead counts",
|
| 32 |
+
"Entering the training area",
|
| 33 |
+
"Expand and adjust lantern shape",
|
| 34 |
+
"Expand paper lantern",
|
| 35 |
+
"Extract wire hangers from inventory",
|
| 36 |
+
"Final alignment of lantern edges",
|
| 37 |
+
"Finalizing shelf organization",
|
| 38 |
+
"Finish cutting along the marked line and reposition",
|
| 39 |
+
"Fold and grasp lantern",
|
| 40 |
+
"Greeting participants",
|
| 41 |
+
"Handle paper lantern component",
|
| 42 |
+
"Handling container lid",
|
| 43 |
+
"Handling earbud case",
|
| 44 |
+
"Handling plastic strip",
|
| 45 |
+
"Holding smartphone",
|
| 46 |
+
"Initiating assembly",
|
| 47 |
+
"Inspect shelf condition",
|
| 48 |
+
"Install display hooks",
|
| 49 |
+
"Labeling cardboard pieces",
|
| 50 |
+
"Manipulate adhesive strip",
|
| 51 |
+
"Manipulate craft pieces",
|
| 52 |
+
"Manipulate paper edge",
|
| 53 |
+
"Manipulate paper strip",
|
| 54 |
+
"Manipulate paper strips",
|
| 55 |
+
"Manipulate puzzle pieces",
|
| 56 |
+
"Manipulating beads",
|
| 57 |
+
"Manipulating plastic strip",
|
| 58 |
+
"Manipulating yellow strips",
|
| 59 |
+
"Moving around the kitchen",
|
| 60 |
+
"Observing and pausing",
|
| 61 |
+
"Organize and count beads",
|
| 62 |
+
"Organizing cardboard pieces",
|
| 63 |
+
"Paper quilling craft",
|
| 64 |
+
"Pick up and place buttons",
|
| 65 |
+
"Pick up and place puzzle piece",
|
| 66 |
+
"Pick, place, and count beads",
|
| 67 |
+
"Place and adjust items on shelf",
|
| 68 |
+
"Place and retrieve items for stocking",
|
| 69 |
+
"Place puzzle piece",
|
| 70 |
+
"Placing and retrieving canned goods",
|
| 71 |
+
"Placing canned goods on the shelf",
|
| 72 |
+
"Prepare to cut cardboard",
|
| 73 |
+
"Preparing craft area",
|
| 74 |
+
"Preparing materials",
|
| 75 |
+
"Reach for, pick up, and attempt to fit puzzle piece",
|
| 76 |
+
"Reaching into the box for more stock",
|
| 77 |
+
"Release and adjust puzzle piece",
|
| 78 |
+
"Release scissors and operate smartphone",
|
| 79 |
+
"Remove packaging and prepare component",
|
| 80 |
+
"Retrieving cleaning supplies",
|
| 81 |
+
"Scrolling and placing smartphone down",
|
| 82 |
+
"Scrolling and setting down smartphone",
|
| 83 |
+
"Scrolling smartphone screen",
|
| 84 |
+
"Search for and pick up puzzle piece",
|
| 85 |
+
"Secure lantern with adhesive",
|
| 86 |
+
"Secure paper edges with adhesive",
|
| 87 |
+
"Setting up smartphone",
|
| 88 |
+
"Sort and adjust button line",
|
| 89 |
+
"Sort and arrange buttons",
|
| 90 |
+
"Sort and group beads",
|
| 91 |
+
"Sort and record bead counts",
|
| 92 |
+
"Sort beads and record count",
|
| 93 |
+
"Sort buttons",
|
| 94 |
+
"Sort puzzle pieces",
|
| 95 |
+
"Stocking multiple cans on the shelf",
|
| 96 |
+
"Tidying workspace",
|
| 97 |
+
"Transitioning to smartphone usage",
|
| 98 |
+
"Unpack additional lantern component",
|
| 99 |
+
"Unpack and place items on shelf",
|
| 100 |
+
"Use smartphone",
|
| 101 |
+
"Using phone and resuming work",
|
| 102 |
+
"Using smartphone",
|
| 103 |
+
"Working with paper strips",
|
| 104 |
+
"Working with paper strips and using phone"
|
| 105 |
+
],
|
| 106 |
+
"macro_f1": 0.006614876224708678,
|
| 107 |
+
"metric_key": "next_subtask_forecast_macro_f1",
|
| 108 |
+
"missing_pred_target_count": 0,
|
| 109 |
+
"missing_true_target_count": 0,
|
| 110 |
+
"model_id": "cosmos3_nano_future_window",
|
| 111 |
+
"model_label": "Cosmos3-Nano Future Window",
|
| 112 |
+
"next_subtask_forecast_accuracy": 0.015873015873015872,
|
| 113 |
+
"next_subtask_forecast_macro_f1": 0.006614876224708678,
|
| 114 |
+
"normalization_policy": "Whitespace and surrounding quotes/punctuation are normalized before exact-label macro-F1 scoring.",
|
| 115 |
+
"num_samples": 378,
|
| 116 |
+
"primary_metric": "next_subtask_forecast_macro_f1",
|
| 117 |
+
"primary_score": 0.006614876224708678,
|
| 118 |
+
"scope": "held_out_test_existing_future_window_retrieval_probe",
|
| 119 |
+
"score_policy": "Derived from existing verified held-out Cosmos3-Nano future-window predictions. The model output is the retrieved future record; both the true future record and retrieved future record are joined to a compact public-safe target map, then scored on subtask labels.",
|
| 120 |
+
"scored_rows": 378,
|
| 121 |
+
"source_prediction_jsonl": "results/omni_finetune/verified_public/xperience10m_cosmos3_nano_128ep_future_window_h5_compat_adapter_eval_test_full/eval/future_predictions.jsonl",
|
| 122 |
+
"source_target_map_jsonl": "results/omni_finetune/model_output_task_probes_20260616/cosmos3_nano_future_window_target_map.jsonl",
|
| 123 |
+
"status": "pass",
|
| 124 |
+
"target_map_rows": 448,
|
| 125 |
+
"task_id": "next_subtask_forecast",
|
| 126 |
+
"task_label": "Long-Horizon Next-Subtask Forecasting",
|
| 127 |
+
"task_number": 14,
|
| 128 |
+
"title": "Cosmos3-Nano Future Window Next-Subtask Future-Window Probe",
|
| 129 |
+
"total_prediction_rows": 378
|
| 130 |
+
}
|
results/omni_finetune/model_output_task_probes_20260616/next_subtask_forecast/cosmos3_nano_future_window/per_class_metrics.csv
ADDED
|
@@ -0,0 +1,95 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
class_name,support,predicted,precision,recall,f1
|
| 2 |
+
Adjust lantern string and handle components,3,0,0.0,0.0,0.0
|
| 3 |
+
Adjusting and securing paper structure,4,0,0.0,0.0,0.0
|
| 4 |
+
Adjusting cookware,2,0,0.0,0.0,0.0
|
| 5 |
+
Adjusting paper edge and placing strip,4,2,0.0,0.0,0.0
|
| 6 |
+
Adjusting stock and finishing placement,2,0,0.0,0.0,0.0
|
| 7 |
+
Align paper lantern edges,2,0,0.0,0.0,0.0
|
| 8 |
+
Approach inventory boxes,7,0,0.0,0.0,0.0
|
| 9 |
+
Arrange buttons,2,0,0.0,0.0,0.0
|
| 10 |
+
Arrange buttons in a line,7,0,0.0,0.0,0.0
|
| 11 |
+
Assembling material pieces,3,0,0.0,0.0,0.0
|
| 12 |
+
Bending plastic strip,2,0,0.0,0.0,0.0
|
| 13 |
+
Browsing smartphone,3,0,0.0,0.0,0.0
|
| 14 |
+
Checking cooking pot,2,0,0.0,0.0,0.0
|
| 15 |
+
Checking smartphone,7,0,0.0,0.0,0.0
|
| 16 |
+
Cleaning cloth maintenance,3,0,0.0,0.0,0.0
|
| 17 |
+
Cleaning kitchen surfaces,4,363,0.011019283746556474,1.0,0.021798365122615803
|
| 18 |
+
Cooking at the stove,5,0,0.0,0.0,0.0
|
| 19 |
+
Count beads and retrieve more,4,0,0.0,0.0,0.0
|
| 20 |
+
Cut along the marked line,7,0,0.0,0.0,0.0
|
| 21 |
+
Cutting cardboard pieces,3,0,0.0,0.0,0.0
|
| 22 |
+
Document bead counts,3,0,0.0,0.0,0.0
|
| 23 |
+
Entering the training area,6,0,0.0,0.0,0.0
|
| 24 |
+
Expand and adjust lantern shape,6,0,0.0,0.0,0.0
|
| 25 |
+
Expand paper lantern,3,0,0.0,0.0,0.0
|
| 26 |
+
Extract wire hangers from inventory,3,0,0.0,0.0,0.0
|
| 27 |
+
Final alignment of lantern edges,2,0,0.0,0.0,0.0
|
| 28 |
+
Finalizing shelf organization,3,0,0.0,0.0,0.0
|
| 29 |
+
Finish cutting along the marked line and reposition,3,0,0.0,0.0,0.0
|
| 30 |
+
Fold and grasp lantern,3,0,0.0,0.0,0.0
|
| 31 |
+
Greeting participants,5,0,0.0,0.0,0.0
|
| 32 |
+
Handle paper lantern component,1,0,0.0,0.0,0.0
|
| 33 |
+
Handling container lid,1,0,0.0,0.0,0.0
|
| 34 |
+
Handling earbud case,6,0,0.0,0.0,0.0
|
| 35 |
+
Handling plastic strip,6,0,0.0,0.0,0.0
|
| 36 |
+
Holding smartphone,1,0,0.0,0.0,0.0
|
| 37 |
+
Initiating assembly,7,0,0.0,0.0,0.0
|
| 38 |
+
Inspect shelf condition,1,0,0.0,0.0,0.0
|
| 39 |
+
Install display hooks,1,0,0.0,0.0,0.0
|
| 40 |
+
Labeling cardboard pieces,13,0,0.0,0.0,0.0
|
| 41 |
+
Manipulate adhesive strip,5,0,0.0,0.0,0.0
|
| 42 |
+
Manipulate craft pieces,2,0,0.0,0.0,0.0
|
| 43 |
+
Manipulate paper edge,8,0,0.0,0.0,0.0
|
| 44 |
+
Manipulate paper strip,2,0,0.0,0.0,0.0
|
| 45 |
+
Manipulate paper strips,15,0,0.0,0.0,0.0
|
| 46 |
+
Manipulate puzzle pieces,6,0,0.0,0.0,0.0
|
| 47 |
+
Manipulating beads,6,0,0.0,0.0,0.0
|
| 48 |
+
Manipulating plastic strip,1,0,0.0,0.0,0.0
|
| 49 |
+
Manipulating yellow strips,2,0,0.0,0.0,0.0
|
| 50 |
+
Moving around the kitchen,4,0,0.0,0.0,0.0
|
| 51 |
+
Observing and pausing,6,0,0.0,0.0,0.0
|
| 52 |
+
Organize and count beads,7,0,0.0,0.0,0.0
|
| 53 |
+
Organizing cardboard pieces,5,0,0.0,0.0,0.0
|
| 54 |
+
Paper quilling craft,3,0,0.0,0.0,0.0
|
| 55 |
+
Pick up and place buttons,6,0,0.0,0.0,0.0
|
| 56 |
+
Pick up and place puzzle piece,4,0,0.0,0.0,0.0
|
| 57 |
+
"Pick, place, and count beads",5,0,0.0,0.0,0.0
|
| 58 |
+
Place and adjust items on shelf,6,1,0.0,0.0,0.0
|
| 59 |
+
Place and retrieve items for stocking,2,0,0.0,0.0,0.0
|
| 60 |
+
Place puzzle piece,3,0,0.0,0.0,0.0
|
| 61 |
+
Placing and retrieving canned goods,2,0,0.0,0.0,0.0
|
| 62 |
+
Placing canned goods on the shelf,1,0,0.0,0.0,0.0
|
| 63 |
+
Prepare to cut cardboard,17,0,0.0,0.0,0.0
|
| 64 |
+
Preparing craft area,4,2,0.0,0.0,0.0
|
| 65 |
+
Preparing materials,5,0,0.0,0.0,0.0
|
| 66 |
+
"Reach for, pick up, and attempt to fit puzzle piece",7,0,0.0,0.0,0.0
|
| 67 |
+
Reaching into the box for more stock,1,0,0.0,0.0,0.0
|
| 68 |
+
Release and adjust puzzle piece,3,0,0.0,0.0,0.0
|
| 69 |
+
Release scissors and operate smartphone,10,1,0.0,0.0,0.0
|
| 70 |
+
Remove packaging and prepare component,2,0,0.0,0.0,0.0
|
| 71 |
+
Retrieving cleaning supplies,4,0,0.0,0.0,0.0
|
| 72 |
+
Scrolling and placing smartphone down,3,0,0.0,0.0,0.0
|
| 73 |
+
Scrolling and setting down smartphone,3,2,0.0,0.0,0.0
|
| 74 |
+
Scrolling smartphone screen,2,0,0.0,0.0,0.0
|
| 75 |
+
Search for and pick up puzzle piece,2,0,0.0,0.0,0.0
|
| 76 |
+
Secure lantern with adhesive,3,0,0.0,0.0,0.0
|
| 77 |
+
Secure paper edges with adhesive,4,0,0.0,0.0,0.0
|
| 78 |
+
Setting up smartphone,1,0,0.0,0.0,0.0
|
| 79 |
+
Sort and adjust button line,3,0,0.0,0.0,0.0
|
| 80 |
+
Sort and arrange buttons,3,0,0.0,0.0,0.0
|
| 81 |
+
Sort and group beads,2,0,0.0,0.0,0.0
|
| 82 |
+
Sort and record bead counts,2,0,0.0,0.0,0.0
|
| 83 |
+
Sort beads and record count,4,0,0.0,0.0,0.0
|
| 84 |
+
Sort buttons,3,0,0.0,0.0,0.0
|
| 85 |
+
Sort puzzle pieces,2,0,0.0,0.0,0.0
|
| 86 |
+
Stocking multiple cans on the shelf,5,0,0.0,0.0,0.0
|
| 87 |
+
Tidying workspace,1,2,0.0,0.0,0.0
|
| 88 |
+
Transitioning to smartphone usage,3,2,0.5,0.3333333333333333,0.4
|
| 89 |
+
Unpack additional lantern component,2,0,0.0,0.0,0.0
|
| 90 |
+
Unpack and place items on shelf,7,3,0.3333333333333333,0.14285714285714285,0.2
|
| 91 |
+
Use smartphone,3,0,0.0,0.0,0.0
|
| 92 |
+
Using phone and resuming work,2,0,0.0,0.0,0.0
|
| 93 |
+
Using smartphone,5,0,0.0,0.0,0.0
|
| 94 |
+
Working with paper strips,7,0,0.0,0.0,0.0
|
| 95 |
+
Working with paper strips and using phone,2,0,0.0,0.0,0.0
|
scripts/build_artifact_index.py
CHANGED
|
@@ -640,7 +640,7 @@ ARTIFACTS = [
|
|
| 640 |
"path": "results/omni_finetune/model_output_task_probes_20260616/summary.json",
|
| 641 |
"kind": "model_result",
|
| 642 |
"surface": "repo_hf",
|
| 643 |
-
"shows": "Scores task
|
| 644 |
},
|
| 645 |
{
|
| 646 |
"id": "existing_model_output_task_probe_script",
|
|
|
|
| 640 |
"path": "results/omni_finetune/model_output_task_probes_20260616/summary.json",
|
| 641 |
"kind": "model_result",
|
| 642 |
"surface": "repo_hf",
|
| 643 |
+
"shows": "Scores task-specific Qwen3/Cosmos overlays only where verified held-out prediction JSON or compact target maps already contain the required targets.",
|
| 644 |
},
|
| 645 |
{
|
| 646 |
"id": "existing_model_output_task_probe_script",
|
scripts/build_unified_task_model_radar.py
CHANGED
|
@@ -80,9 +80,15 @@ COSMOS_SUPER_LONG_HORIZON_METRICS_PATH = (
|
|
| 80 |
COSMOS_NANO_LONG_HORIZON_METRICS_PATH = (
|
| 81 |
MODEL_OUTPUT_TASK_PROBE_DIR / "long_horizon_next_action/cosmos3_nano_future_window/metrics.json"
|
| 82 |
)
|
|
|
|
|
|
|
|
|
|
| 83 |
COSMOS_NANO_MODALITY_RECONSTRUCTION_METRICS_PATH = (
|
| 84 |
MODEL_OUTPUT_TASK_PROBE_DIR / "modality_reconstruction/cosmos3_nano_future_window/metrics.json"
|
| 85 |
)
|
|
|
|
|
|
|
|
|
|
| 86 |
COSMOS_NANO_TIME_TO_TRANSITION_METRICS_PATH = (
|
| 87 |
MODEL_OUTPUT_TASK_PROBE_DIR / "time_to_transition/cosmos3_nano_future_window/metrics.json"
|
| 88 |
)
|
|
@@ -230,9 +236,15 @@ FOUNDATION_TASK_METRICS = {
|
|
| 230 |
"cosmos3_super_reasoner": "long_horizon_next_action_macro_f1",
|
| 231 |
"cosmos3_nano_future_window": "long_horizon_next_action_macro_f1",
|
| 232 |
},
|
|
|
|
|
|
|
|
|
|
| 233 |
"modality_reconstruction": {
|
| 234 |
"cosmos3_nano_future_window": "feature_reconstruction_quality",
|
| 235 |
},
|
|
|
|
|
|
|
|
|
|
| 236 |
"cross_modal_retrieval": {
|
| 237 |
"cosmos3_nano_future_window": "future_retrieval_mrr",
|
| 238 |
},
|
|
@@ -261,7 +273,9 @@ FOUNDATION_METRIC_SOURCE_OVERRIDES = {
|
|
| 261 |
("qwen3_omni_v6_lora", "time_to_transition"): QWEN_FUTURE_TASK_METRIC_PATHS["time_to_transition"],
|
| 262 |
("qwen3_omni_v6_lora", "camera_view_sync_retrieval"): QWEN_FUTURE_TASK_METRIC_PATHS["camera_view_sync_retrieval"],
|
| 263 |
("cosmos3_nano_future_window", "long_horizon_next_action"): COSMOS_NANO_LONG_HORIZON_METRICS_PATH,
|
|
|
|
| 264 |
("cosmos3_nano_future_window", "modality_reconstruction"): COSMOS_NANO_MODALITY_RECONSTRUCTION_METRICS_PATH,
|
|
|
|
| 265 |
("cosmos3_nano_future_window", "time_to_transition"): COSMOS_NANO_TIME_TO_TRANSITION_METRICS_PATH,
|
| 266 |
("cosmos3_super_reasoner", "long_horizon_next_action"): COSMOS_SUPER_LONG_HORIZON_METRICS_PATH,
|
| 267 |
("cosmos3_super_reasoner", "time_to_transition"): COSMOS_SUPER_TIME_TO_TRANSITION_METRICS_PATH,
|
|
@@ -299,7 +313,7 @@ METHOD_DETAILS = {
|
|
| 299 |
"raw128_neural_mlp": "128-episode 4430-dim sensor NPZ MLP heads; tasks 15/19 use compact proxies.",
|
| 300 |
"qwen3_omni_v6_lora": "Verified held-out Qwen3-Omni v6 LoRA metrics, plus task 16 and any completed private-GPU future-task probes scored from task-specific JSON.",
|
| 301 |
"cosmos3_super_reasoner": "Verified Cosmos3-Super base-weight Reasoner JSON-task evaluation, plus task 16 and a derived task-20 action-boundary timing probe scored from existing verified JSON.",
|
| 302 |
-
"cosmos3_nano_future_window": "Verified Cosmos3-Nano future-window compatibility metrics, plus
|
| 303 |
}
|
| 304 |
|
| 305 |
PROXY_TASK_IDS = {"interaction_text_prediction", "camera_view_sync_retrieval"}
|
|
@@ -658,7 +672,9 @@ def build_payload() -> dict[str, Any]:
|
|
| 658 |
cosmos_super.update(read_json(COSMOS_SUPER_LONG_HORIZON_METRICS_PATH))
|
| 659 |
cosmos_super.update(read_json(COSMOS_SUPER_TIME_TO_TRANSITION_METRICS_PATH))
|
| 660 |
cosmos_nano.update(read_json(COSMOS_NANO_LONG_HORIZON_METRICS_PATH))
|
|
|
|
| 661 |
cosmos_nano.update(read_json(COSMOS_NANO_MODALITY_RECONSTRUCTION_METRICS_PATH))
|
|
|
|
| 662 |
cosmos_nano.update(read_json(COSMOS_NANO_TIME_TO_TRANSITION_METRICS_PATH))
|
| 663 |
foundation_task_metrics = foundation_task_metric_mapping(qwen)
|
| 664 |
foundation_metrics = {
|
|
|
|
| 80 |
COSMOS_NANO_LONG_HORIZON_METRICS_PATH = (
|
| 81 |
MODEL_OUTPUT_TASK_PROBE_DIR / "long_horizon_next_action/cosmos3_nano_future_window/metrics.json"
|
| 82 |
)
|
| 83 |
+
COSMOS_NANO_NEXT_SUBTASK_METRICS_PATH = (
|
| 84 |
+
MODEL_OUTPUT_TASK_PROBE_DIR / "next_subtask_forecast/cosmos3_nano_future_window/metrics.json"
|
| 85 |
+
)
|
| 86 |
COSMOS_NANO_MODALITY_RECONSTRUCTION_METRICS_PATH = (
|
| 87 |
MODEL_OUTPUT_TASK_PROBE_DIR / "modality_reconstruction/cosmos3_nano_future_window/metrics.json"
|
| 88 |
)
|
| 89 |
+
COSMOS_NANO_OBJECT_SET_METRICS_PATH = (
|
| 90 |
+
MODEL_OUTPUT_TASK_PROBE_DIR / "object_set_forecast/cosmos3_nano_future_window/metrics.json"
|
| 91 |
+
)
|
| 92 |
COSMOS_NANO_TIME_TO_TRANSITION_METRICS_PATH = (
|
| 93 |
MODEL_OUTPUT_TASK_PROBE_DIR / "time_to_transition/cosmos3_nano_future_window/metrics.json"
|
| 94 |
)
|
|
|
|
| 236 |
"cosmos3_super_reasoner": "long_horizon_next_action_macro_f1",
|
| 237 |
"cosmos3_nano_future_window": "long_horizon_next_action_macro_f1",
|
| 238 |
},
|
| 239 |
+
"next_subtask_forecast": {
|
| 240 |
+
"cosmos3_nano_future_window": "next_subtask_forecast_macro_f1",
|
| 241 |
+
},
|
| 242 |
"modality_reconstruction": {
|
| 243 |
"cosmos3_nano_future_window": "feature_reconstruction_quality",
|
| 244 |
},
|
| 245 |
+
"object_set_forecast": {
|
| 246 |
+
"cosmos3_nano_future_window": "object_set_forecast_micro_f1",
|
| 247 |
+
},
|
| 248 |
"cross_modal_retrieval": {
|
| 249 |
"cosmos3_nano_future_window": "future_retrieval_mrr",
|
| 250 |
},
|
|
|
|
| 273 |
("qwen3_omni_v6_lora", "time_to_transition"): QWEN_FUTURE_TASK_METRIC_PATHS["time_to_transition"],
|
| 274 |
("qwen3_omni_v6_lora", "camera_view_sync_retrieval"): QWEN_FUTURE_TASK_METRIC_PATHS["camera_view_sync_retrieval"],
|
| 275 |
("cosmos3_nano_future_window", "long_horizon_next_action"): COSMOS_NANO_LONG_HORIZON_METRICS_PATH,
|
| 276 |
+
("cosmos3_nano_future_window", "next_subtask_forecast"): COSMOS_NANO_NEXT_SUBTASK_METRICS_PATH,
|
| 277 |
("cosmos3_nano_future_window", "modality_reconstruction"): COSMOS_NANO_MODALITY_RECONSTRUCTION_METRICS_PATH,
|
| 278 |
+
("cosmos3_nano_future_window", "object_set_forecast"): COSMOS_NANO_OBJECT_SET_METRICS_PATH,
|
| 279 |
("cosmos3_nano_future_window", "time_to_transition"): COSMOS_NANO_TIME_TO_TRANSITION_METRICS_PATH,
|
| 280 |
("cosmos3_super_reasoner", "long_horizon_next_action"): COSMOS_SUPER_LONG_HORIZON_METRICS_PATH,
|
| 281 |
("cosmos3_super_reasoner", "time_to_transition"): COSMOS_SUPER_TIME_TO_TRANSITION_METRICS_PATH,
|
|
|
|
| 313 |
"raw128_neural_mlp": "128-episode 4430-dim sensor NPZ MLP heads; tasks 15/19 use compact proxies.",
|
| 314 |
"qwen3_omni_v6_lora": "Verified held-out Qwen3-Omni v6 LoRA metrics, plus task 16 and any completed private-GPU future-task probes scored from task-specific JSON.",
|
| 315 |
"cosmos3_super_reasoner": "Verified Cosmos3-Super base-weight Reasoner JSON-task evaluation, plus task 16 and a derived task-20 action-boundary timing probe scored from existing verified JSON.",
|
| 316 |
+
"cosmos3_nano_future_window": "Verified Cosmos3-Nano future-window compatibility metrics, plus tasks 10/13/14/17 and a derived task-20 boundary timing probe scored from existing held-out future-window artifacts.",
|
| 317 |
}
|
| 318 |
|
| 319 |
PROXY_TASK_IDS = {"interaction_text_prediction", "camera_view_sync_retrieval"}
|
|
|
|
| 672 |
cosmos_super.update(read_json(COSMOS_SUPER_LONG_HORIZON_METRICS_PATH))
|
| 673 |
cosmos_super.update(read_json(COSMOS_SUPER_TIME_TO_TRANSITION_METRICS_PATH))
|
| 674 |
cosmos_nano.update(read_json(COSMOS_NANO_LONG_HORIZON_METRICS_PATH))
|
| 675 |
+
cosmos_nano.update(read_json(COSMOS_NANO_NEXT_SUBTASK_METRICS_PATH))
|
| 676 |
cosmos_nano.update(read_json(COSMOS_NANO_MODALITY_RECONSTRUCTION_METRICS_PATH))
|
| 677 |
+
cosmos_nano.update(read_json(COSMOS_NANO_OBJECT_SET_METRICS_PATH))
|
| 678 |
cosmos_nano.update(read_json(COSMOS_NANO_TIME_TO_TRANSITION_METRICS_PATH))
|
| 679 |
foundation_task_metrics = foundation_task_metric_mapping(qwen)
|
| 680 |
foundation_metrics = {
|
scripts/omni/score_existing_model_output_task_probes.py
CHANGED
|
@@ -63,6 +63,10 @@ MODEL_SPECS = {
|
|
| 63 |
"results/omni_finetune/model_output_task_probes_20260616/"
|
| 64 |
"cosmos3_nano_future_window_source_window_map.jsonl"
|
| 65 |
),
|
|
|
|
|
|
|
|
|
|
|
|
|
| 66 |
"action_object_relation_unsupported_reason": "verified future-window predictions do not contain object-set fields",
|
| 67 |
},
|
| 68 |
}
|
|
@@ -139,6 +143,29 @@ def normalize_objects(value: Any) -> list[str]:
|
|
| 139 |
return sorted(objects)
|
| 140 |
|
| 141 |
|
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|
| 142 |
def relation_label(action: Any, objects: Any, *, missing_label: str | None = None) -> str | None:
|
| 143 |
action_text = normalize_text(action)
|
| 144 |
object_set = normalize_objects(objects)
|
|
@@ -396,6 +423,244 @@ def score_cosmos_nano_long_horizon_next_action(
|
|
| 396 |
return metrics
|
| 397 |
|
| 398 |
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|
| 399 |
def score_modality_reconstruction_from_feature_error(
|
| 400 |
*,
|
| 401 |
model_id: str,
|
|
@@ -873,7 +1138,9 @@ def build_report(summary: dict[str, Any]) -> str:
|
|
| 873 |
for model_id, result in summary["methods"].items():
|
| 874 |
task_results = result.get("tasks", {})
|
| 875 |
task13 = task_results.get("long_horizon_next_action", {})
|
|
|
|
| 876 |
task16 = task_results.get("action_object_relation", {})
|
|
|
|
| 877 |
task20 = task_results.get("time_to_transition", {})
|
| 878 |
rows.append(
|
| 879 |
"| "
|
|
@@ -888,11 +1155,21 @@ def build_report(summary: dict[str, Any]) -> str:
|
|
| 888 |
if task13.get("long_horizon_next_action_macro_f1") is not None
|
| 889 |
else "n/a"
|
| 890 |
),
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 891 |
(
|
| 892 |
f"{task16.get('action_object_relation_macro_f1', 0.0):.6f}"
|
| 893 |
if task16.get("action_object_relation_macro_f1") is not None
|
| 894 |
else "n/a"
|
| 895 |
),
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 896 |
(
|
| 897 |
f"{task20.get('time_to_transition_mae', 0.0):.3f}"
|
| 898 |
if task20.get("time_to_transition_mae") is not None
|
|
@@ -911,8 +1188,8 @@ This package scores only task targets already present in verified held-out
|
|
| 911 |
prediction JSON. It does not run new inference and does not infer targets that
|
| 912 |
are absent from a model branch.
|
| 913 |
|
| 914 |
-
| Method | ID | Status | Scored tasks | Task 13 macro-F1 | Task 16 macro-F1 | Task 20 MAE | Evidence |
|
| 915 |
-
| --- | --- | --- | --- | ---: | ---: | ---: | --- |
|
| 916 |
{chr(10).join(rows)}
|
| 917 |
"""
|
| 918 |
|
|
@@ -970,6 +1247,37 @@ def main() -> int:
|
|
| 970 |
"long_horizon_next_action_macro_f1": metrics["long_horizon_next_action_macro_f1"],
|
| 971 |
"long_horizon_next_action_accuracy": metrics["long_horizon_next_action_accuracy"],
|
| 972 |
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 973 |
metrics_path = workspace / spec["metrics_json"]
|
| 974 |
metrics = score_modality_reconstruction_from_feature_error(
|
| 975 |
model_id=model_id,
|
|
@@ -1050,6 +1358,8 @@ def main() -> int:
|
|
| 1050 |
"action_object_relation",
|
| 1051 |
"long_horizon_next_action",
|
| 1052 |
"modality_reconstruction",
|
|
|
|
|
|
|
| 1053 |
"time_to_transition",
|
| 1054 |
],
|
| 1055 |
"scored_method_task_count_added": scored_count,
|
|
|
|
| 63 |
"results/omni_finetune/model_output_task_probes_20260616/"
|
| 64 |
"cosmos3_nano_future_window_source_window_map.jsonl"
|
| 65 |
),
|
| 66 |
+
"target_map_jsonl": (
|
| 67 |
+
"results/omni_finetune/model_output_task_probes_20260616/"
|
| 68 |
+
"cosmos3_nano_future_window_target_map.jsonl"
|
| 69 |
+
),
|
| 70 |
"action_object_relation_unsupported_reason": "verified future-window predictions do not contain object-set fields",
|
| 71 |
},
|
| 72 |
}
|
|
|
|
| 143 |
return sorted(objects)
|
| 144 |
|
| 145 |
|
| 146 |
+
def object_set_metrics(rows: list[dict[str, Any]]) -> dict[str, float]:
|
| 147 |
+
tp = fp = fn = exact = 0
|
| 148 |
+
for row in rows:
|
| 149 |
+
true_set = set(row["true_objects"])
|
| 150 |
+
pred_set = set(row["pred_objects"])
|
| 151 |
+
tp += len(true_set & pred_set)
|
| 152 |
+
fp += len(pred_set - true_set)
|
| 153 |
+
fn += len(true_set - pred_set)
|
| 154 |
+
exact += int(true_set == pred_set)
|
| 155 |
+
precision = tp / (tp + fp) if tp + fp else 0.0
|
| 156 |
+
recall = tp / (tp + fn) if tp + fn else 0.0
|
| 157 |
+
micro_f1 = 2.0 * precision * recall / (precision + recall) if precision + recall else 0.0
|
| 158 |
+
return {
|
| 159 |
+
"micro_f1": micro_f1,
|
| 160 |
+
"precision": precision,
|
| 161 |
+
"recall": recall,
|
| 162 |
+
"exact_match": exact / len(rows) if rows else 0.0,
|
| 163 |
+
"true_positive_objects": float(tp),
|
| 164 |
+
"false_positive_objects": float(fp),
|
| 165 |
+
"false_negative_objects": float(fn),
|
| 166 |
+
}
|
| 167 |
+
|
| 168 |
+
|
| 169 |
def relation_label(action: Any, objects: Any, *, missing_label: str | None = None) -> str | None:
|
| 170 |
action_text = normalize_text(action)
|
| 171 |
object_set = normalize_objects(objects)
|
|
|
|
| 423 |
return metrics
|
| 424 |
|
| 425 |
|
| 426 |
+
def load_target_map(path: Path) -> dict[str, dict[str, Any]]:
|
| 427 |
+
rows = read_jsonl(path)
|
| 428 |
+
return {str(row.get("id")): row for row in rows if row.get("id")}
|
| 429 |
+
|
| 430 |
+
|
| 431 |
+
def score_cosmos_nano_next_subtask_from_target_map(
|
| 432 |
+
*,
|
| 433 |
+
model_id: str,
|
| 434 |
+
spec: dict[str, Any],
|
| 435 |
+
prediction_jsonl: Path,
|
| 436 |
+
target_map_jsonl: Path,
|
| 437 |
+
output_dir: Path,
|
| 438 |
+
workspace: Path,
|
| 439 |
+
) -> dict[str, Any]:
|
| 440 |
+
source_rows = read_jsonl(prediction_jsonl)
|
| 441 |
+
target_by_id = load_target_map(target_map_jsonl)
|
| 442 |
+
scored_rows: list[dict[str, Any]] = []
|
| 443 |
+
y_true: list[str] = []
|
| 444 |
+
y_pred: list[str] = []
|
| 445 |
+
missing_true_target_count = 0
|
| 446 |
+
missing_pred_target_count = 0
|
| 447 |
+
|
| 448 |
+
for row in source_rows:
|
| 449 |
+
future_id = str(row.get("future_record_id") or "")
|
| 450 |
+
pred_future_id = str(row.get("pred_future_record_id") or "")
|
| 451 |
+
true_target = target_by_id.get(future_id)
|
| 452 |
+
if not true_target:
|
| 453 |
+
missing_true_target_count += 1
|
| 454 |
+
continue
|
| 455 |
+
pred_target = target_by_id.get(pred_future_id)
|
| 456 |
+
true_subtask = normalize_text(true_target.get("subtask"))
|
| 457 |
+
if not true_subtask:
|
| 458 |
+
continue
|
| 459 |
+
pred_subtask = normalize_text(pred_target.get("subtask") if pred_target else "")
|
| 460 |
+
if not pred_subtask:
|
| 461 |
+
pred_subtask = "<missing_pred_subtask>"
|
| 462 |
+
missing_pred_target_count += 1
|
| 463 |
+
y_true.append(true_subtask)
|
| 464 |
+
y_pred.append(pred_subtask)
|
| 465 |
+
scored_rows.append(
|
| 466 |
+
{
|
| 467 |
+
"id": row.get("id"),
|
| 468 |
+
"split": row.get("split"),
|
| 469 |
+
"episode_id": row.get("episode_id"),
|
| 470 |
+
"future_record_id": future_id,
|
| 471 |
+
"pred_future_record_id": pred_future_id,
|
| 472 |
+
"true_subtask": true_subtask,
|
| 473 |
+
"pred_subtask": pred_subtask,
|
| 474 |
+
"correct": int(true_subtask == pred_subtask),
|
| 475 |
+
"rank": row.get("rank"),
|
| 476 |
+
"top_k_hit": row.get("top_k_hit"),
|
| 477 |
+
}
|
| 478 |
+
)
|
| 479 |
+
|
| 480 |
+
if not y_true:
|
| 481 |
+
raise RuntimeError(f"no joined future-subtask targets found in {prediction_jsonl}")
|
| 482 |
+
|
| 483 |
+
label_options = sorted(set(y_true))
|
| 484 |
+
metrics, per_class, _ = class_metrics(y_true, y_pred, label_options)
|
| 485 |
+
metrics.update(
|
| 486 |
+
{
|
| 487 |
+
"title": f"{spec['label']} Next-Subtask Future-Window Probe",
|
| 488 |
+
"status": "pass",
|
| 489 |
+
"generated_at_utc": datetime.now(timezone.utc).isoformat(timespec="seconds"),
|
| 490 |
+
"model_id": model_id,
|
| 491 |
+
"model_label": spec["label"],
|
| 492 |
+
"task_id": "next_subtask_forecast",
|
| 493 |
+
"task_number": 14,
|
| 494 |
+
"task_label": "Long-Horizon Next-Subtask Forecasting",
|
| 495 |
+
"metric_key": "next_subtask_forecast_macro_f1",
|
| 496 |
+
"primary_metric": "next_subtask_forecast_macro_f1",
|
| 497 |
+
"primary_score": metrics["macro_f1"],
|
| 498 |
+
"next_subtask_forecast_macro_f1": metrics["macro_f1"],
|
| 499 |
+
"next_subtask_forecast_accuracy": metrics["accuracy"],
|
| 500 |
+
"source_prediction_jsonl": relpath(prediction_jsonl, workspace),
|
| 501 |
+
"source_target_map_jsonl": relpath(target_map_jsonl, workspace),
|
| 502 |
+
"scope": "held_out_test_existing_future_window_retrieval_probe",
|
| 503 |
+
"score_policy": (
|
| 504 |
+
"Derived from existing verified held-out Cosmos3-Nano future-window "
|
| 505 |
+
"predictions. The model output is the retrieved future record; both the "
|
| 506 |
+
"true future record and retrieved future record are joined to a compact "
|
| 507 |
+
"public-safe target map, then scored on subtask labels."
|
| 508 |
+
),
|
| 509 |
+
"normalization_policy": "Whitespace and surrounding quotes/punctuation are normalized before exact-label macro-F1 scoring.",
|
| 510 |
+
"known_limitation": (
|
| 511 |
+
"This is a retrieval-derived future-subtask score. It is not a separately "
|
| 512 |
+
"prompted generative subtask head, but it is target-backed by verified "
|
| 513 |
+
"future-record retrieval outputs."
|
| 514 |
+
),
|
| 515 |
+
"total_prediction_rows": len(source_rows),
|
| 516 |
+
"target_map_rows": len(target_by_id),
|
| 517 |
+
"scored_rows": len(scored_rows),
|
| 518 |
+
"missing_true_target_count": missing_true_target_count,
|
| 519 |
+
"missing_pred_target_count": missing_pred_target_count,
|
| 520 |
+
"artifact_files": {
|
| 521 |
+
"metrics_json": relpath(output_dir / "metrics.json", workspace),
|
| 522 |
+
"predictions_csv": relpath(output_dir / "predictions.csv", workspace),
|
| 523 |
+
"per_class_metrics_csv": relpath(output_dir / "per_class_metrics.csv", workspace),
|
| 524 |
+
},
|
| 525 |
+
}
|
| 526 |
+
)
|
| 527 |
+
write_json(output_dir / "metrics.json", metrics)
|
| 528 |
+
write_csv(
|
| 529 |
+
output_dir / "predictions.csv",
|
| 530 |
+
scored_rows,
|
| 531 |
+
[
|
| 532 |
+
"id",
|
| 533 |
+
"split",
|
| 534 |
+
"episode_id",
|
| 535 |
+
"future_record_id",
|
| 536 |
+
"pred_future_record_id",
|
| 537 |
+
"true_subtask",
|
| 538 |
+
"pred_subtask",
|
| 539 |
+
"correct",
|
| 540 |
+
"rank",
|
| 541 |
+
"top_k_hit",
|
| 542 |
+
],
|
| 543 |
+
)
|
| 544 |
+
write_csv(
|
| 545 |
+
output_dir / "per_class_metrics.csv",
|
| 546 |
+
per_class,
|
| 547 |
+
["class_name", "support", "predicted", "precision", "recall", "f1"],
|
| 548 |
+
)
|
| 549 |
+
return metrics
|
| 550 |
+
|
| 551 |
+
|
| 552 |
+
def score_cosmos_nano_object_set_from_target_map(
|
| 553 |
+
*,
|
| 554 |
+
model_id: str,
|
| 555 |
+
spec: dict[str, Any],
|
| 556 |
+
prediction_jsonl: Path,
|
| 557 |
+
target_map_jsonl: Path,
|
| 558 |
+
output_dir: Path,
|
| 559 |
+
workspace: Path,
|
| 560 |
+
) -> dict[str, Any]:
|
| 561 |
+
source_rows = read_jsonl(prediction_jsonl)
|
| 562 |
+
target_by_id = load_target_map(target_map_jsonl)
|
| 563 |
+
scored_rows: list[dict[str, Any]] = []
|
| 564 |
+
missing_true_target_count = 0
|
| 565 |
+
missing_pred_target_count = 0
|
| 566 |
+
|
| 567 |
+
for row in source_rows:
|
| 568 |
+
future_id = str(row.get("future_record_id") or "")
|
| 569 |
+
pred_future_id = str(row.get("pred_future_record_id") or "")
|
| 570 |
+
true_target = target_by_id.get(future_id)
|
| 571 |
+
if not true_target:
|
| 572 |
+
missing_true_target_count += 1
|
| 573 |
+
continue
|
| 574 |
+
pred_target = target_by_id.get(pred_future_id)
|
| 575 |
+
if not pred_target:
|
| 576 |
+
missing_pred_target_count += 1
|
| 577 |
+
true_objects = normalize_objects(true_target.get("objects"))
|
| 578 |
+
pred_objects = normalize_objects(pred_target.get("objects") if pred_target else [])
|
| 579 |
+
scored_rows.append(
|
| 580 |
+
{
|
| 581 |
+
"id": row.get("id"),
|
| 582 |
+
"split": row.get("split"),
|
| 583 |
+
"episode_id": row.get("episode_id"),
|
| 584 |
+
"future_record_id": future_id,
|
| 585 |
+
"pred_future_record_id": pred_future_id,
|
| 586 |
+
"true_objects": true_objects,
|
| 587 |
+
"pred_objects": pred_objects,
|
| 588 |
+
"true_objects_json": json.dumps(true_objects, ensure_ascii=False),
|
| 589 |
+
"pred_objects_json": json.dumps(pred_objects, ensure_ascii=False),
|
| 590 |
+
"exact_match": int(set(true_objects) == set(pred_objects)),
|
| 591 |
+
"rank": row.get("rank"),
|
| 592 |
+
"top_k_hit": row.get("top_k_hit"),
|
| 593 |
+
}
|
| 594 |
+
)
|
| 595 |
+
|
| 596 |
+
if not scored_rows:
|
| 597 |
+
raise RuntimeError(f"no joined future-object targets found in {prediction_jsonl}")
|
| 598 |
+
|
| 599 |
+
metrics = object_set_metrics(scored_rows)
|
| 600 |
+
metrics.update(
|
| 601 |
+
{
|
| 602 |
+
"title": f"{spec['label']} Future Object-Set Probe",
|
| 603 |
+
"status": "pass",
|
| 604 |
+
"generated_at_utc": datetime.now(timezone.utc).isoformat(timespec="seconds"),
|
| 605 |
+
"model_id": model_id,
|
| 606 |
+
"model_label": spec["label"],
|
| 607 |
+
"task_id": "object_set_forecast",
|
| 608 |
+
"task_number": 17,
|
| 609 |
+
"task_label": "Future Object-Set Forecasting",
|
| 610 |
+
"metric_key": "object_set_forecast_micro_f1",
|
| 611 |
+
"primary_metric": "object_set_forecast_micro_f1",
|
| 612 |
+
"primary_score": metrics["micro_f1"],
|
| 613 |
+
"object_set_forecast_micro_f1": metrics["micro_f1"],
|
| 614 |
+
"object_set_forecast_precision": metrics["precision"],
|
| 615 |
+
"object_set_forecast_recall": metrics["recall"],
|
| 616 |
+
"source_prediction_jsonl": relpath(prediction_jsonl, workspace),
|
| 617 |
+
"source_target_map_jsonl": relpath(target_map_jsonl, workspace),
|
| 618 |
+
"scope": "held_out_test_existing_future_window_retrieval_probe",
|
| 619 |
+
"score_policy": (
|
| 620 |
+
"Derived from existing verified held-out Cosmos3-Nano future-window "
|
| 621 |
+
"predictions. The retrieved future record is joined to a compact "
|
| 622 |
+
"target map and its object set is compared with the true future "
|
| 623 |
+
"record's object set."
|
| 624 |
+
),
|
| 625 |
+
"normalization_policy": (
|
| 626 |
+
"Objects are casefolded, stripped, deduplicated, and scored with "
|
| 627 |
+
"micro-F1 over the held-out future object sets."
|
| 628 |
+
),
|
| 629 |
+
"known_limitation": (
|
| 630 |
+
"This is a retrieval-derived object-set score, not a separately prompted "
|
| 631 |
+
"object-list generation head."
|
| 632 |
+
),
|
| 633 |
+
"total_prediction_rows": len(source_rows),
|
| 634 |
+
"target_map_rows": len(target_by_id),
|
| 635 |
+
"scored_rows": len(scored_rows),
|
| 636 |
+
"missing_true_target_count": missing_true_target_count,
|
| 637 |
+
"missing_pred_target_count": missing_pred_target_count,
|
| 638 |
+
"artifact_files": {
|
| 639 |
+
"metrics_json": relpath(output_dir / "metrics.json", workspace),
|
| 640 |
+
"predictions_csv": relpath(output_dir / "predictions.csv", workspace),
|
| 641 |
+
},
|
| 642 |
+
}
|
| 643 |
+
)
|
| 644 |
+
write_json(output_dir / "metrics.json", metrics)
|
| 645 |
+
write_csv(
|
| 646 |
+
output_dir / "predictions.csv",
|
| 647 |
+
scored_rows,
|
| 648 |
+
[
|
| 649 |
+
"id",
|
| 650 |
+
"split",
|
| 651 |
+
"episode_id",
|
| 652 |
+
"future_record_id",
|
| 653 |
+
"pred_future_record_id",
|
| 654 |
+
"true_objects_json",
|
| 655 |
+
"pred_objects_json",
|
| 656 |
+
"exact_match",
|
| 657 |
+
"rank",
|
| 658 |
+
"top_k_hit",
|
| 659 |
+
],
|
| 660 |
+
)
|
| 661 |
+
return metrics
|
| 662 |
+
|
| 663 |
+
|
| 664 |
def score_modality_reconstruction_from_feature_error(
|
| 665 |
*,
|
| 666 |
model_id: str,
|
|
|
|
| 1138 |
for model_id, result in summary["methods"].items():
|
| 1139 |
task_results = result.get("tasks", {})
|
| 1140 |
task13 = task_results.get("long_horizon_next_action", {})
|
| 1141 |
+
task14 = task_results.get("next_subtask_forecast", {})
|
| 1142 |
task16 = task_results.get("action_object_relation", {})
|
| 1143 |
+
task17 = task_results.get("object_set_forecast", {})
|
| 1144 |
task20 = task_results.get("time_to_transition", {})
|
| 1145 |
rows.append(
|
| 1146 |
"| "
|
|
|
|
| 1155 |
if task13.get("long_horizon_next_action_macro_f1") is not None
|
| 1156 |
else "n/a"
|
| 1157 |
),
|
| 1158 |
+
(
|
| 1159 |
+
f"{task14.get('next_subtask_forecast_macro_f1', 0.0):.6f}"
|
| 1160 |
+
if task14.get("next_subtask_forecast_macro_f1") is not None
|
| 1161 |
+
else "n/a"
|
| 1162 |
+
),
|
| 1163 |
(
|
| 1164 |
f"{task16.get('action_object_relation_macro_f1', 0.0):.6f}"
|
| 1165 |
if task16.get("action_object_relation_macro_f1") is not None
|
| 1166 |
else "n/a"
|
| 1167 |
),
|
| 1168 |
+
(
|
| 1169 |
+
f"{task17.get('object_set_forecast_micro_f1', 0.0):.6f}"
|
| 1170 |
+
if task17.get("object_set_forecast_micro_f1") is not None
|
| 1171 |
+
else "n/a"
|
| 1172 |
+
),
|
| 1173 |
(
|
| 1174 |
f"{task20.get('time_to_transition_mae', 0.0):.3f}"
|
| 1175 |
if task20.get("time_to_transition_mae") is not None
|
|
|
|
| 1188 |
prediction JSON. It does not run new inference and does not infer targets that
|
| 1189 |
are absent from a model branch.
|
| 1190 |
|
| 1191 |
+
| Method | ID | Status | Scored tasks | Task 13 macro-F1 | Task 14 macro-F1 | Task 16 macro-F1 | Task 17 micro-F1 | Task 20 MAE | Evidence |
|
| 1192 |
+
| --- | --- | --- | --- | ---: | ---: | ---: | ---: | ---: | --- |
|
| 1193 |
{chr(10).join(rows)}
|
| 1194 |
"""
|
| 1195 |
|
|
|
|
| 1247 |
"long_horizon_next_action_macro_f1": metrics["long_horizon_next_action_macro_f1"],
|
| 1248 |
"long_horizon_next_action_accuracy": metrics["long_horizon_next_action_accuracy"],
|
| 1249 |
}
|
| 1250 |
+
target_map_path = workspace / spec["target_map_jsonl"]
|
| 1251 |
+
if target_map_path.exists():
|
| 1252 |
+
metrics = score_cosmos_nano_next_subtask_from_target_map(
|
| 1253 |
+
model_id=model_id,
|
| 1254 |
+
spec=spec,
|
| 1255 |
+
prediction_jsonl=prediction_path,
|
| 1256 |
+
target_map_jsonl=target_map_path,
|
| 1257 |
+
output_dir=output_dir / "next_subtask_forecast" / model_id,
|
| 1258 |
+
workspace=workspace,
|
| 1259 |
+
)
|
| 1260 |
+
task_results["next_subtask_forecast"] = {
|
| 1261 |
+
"source_metrics_json": metrics["artifact_files"]["metrics_json"],
|
| 1262 |
+
"scored_rows": metrics["scored_rows"],
|
| 1263 |
+
"next_subtask_forecast_macro_f1": metrics["next_subtask_forecast_macro_f1"],
|
| 1264 |
+
"next_subtask_forecast_accuracy": metrics["next_subtask_forecast_accuracy"],
|
| 1265 |
+
}
|
| 1266 |
+
metrics = score_cosmos_nano_object_set_from_target_map(
|
| 1267 |
+
model_id=model_id,
|
| 1268 |
+
spec=spec,
|
| 1269 |
+
prediction_jsonl=prediction_path,
|
| 1270 |
+
target_map_jsonl=target_map_path,
|
| 1271 |
+
output_dir=output_dir / "object_set_forecast" / model_id,
|
| 1272 |
+
workspace=workspace,
|
| 1273 |
+
)
|
| 1274 |
+
task_results["object_set_forecast"] = {
|
| 1275 |
+
"source_metrics_json": metrics["artifact_files"]["metrics_json"],
|
| 1276 |
+
"scored_rows": metrics["scored_rows"],
|
| 1277 |
+
"object_set_forecast_micro_f1": metrics["object_set_forecast_micro_f1"],
|
| 1278 |
+
"object_set_forecast_precision": metrics["object_set_forecast_precision"],
|
| 1279 |
+
"object_set_forecast_recall": metrics["object_set_forecast_recall"],
|
| 1280 |
+
}
|
| 1281 |
metrics_path = workspace / spec["metrics_json"]
|
| 1282 |
metrics = score_modality_reconstruction_from_feature_error(
|
| 1283 |
model_id=model_id,
|
|
|
|
| 1358 |
"action_object_relation",
|
| 1359 |
"long_horizon_next_action",
|
| 1360 |
"modality_reconstruction",
|
| 1361 |
+
"next_subtask_forecast",
|
| 1362 |
+
"object_set_forecast",
|
| 1363 |
"time_to_transition",
|
| 1364 |
],
|
| 1365 |
"scored_method_task_count_added": scored_count,
|