Datasets:
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Browse files- TASK_METHOD_20_GAP_AUDIT.md +5 -8
- TASK_METHOD_20_RESULT_MATRIX.md +4 -4
- assets/charts/episode128_task_model_radar.svg +6 -3
- assets/charts/unified_task_model_radar.svg +5 -2
- data/artifact_index.json +120 -32
- data/episode128_task_model_radar.json +60 -60
- data/figure_index.json +5 -5
- data/mirror_parity.json +760 -202
- data/public_surface_qa.json +6 -6
- data/publication_audit.json +7 -7
- 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 +13 -55
- data/task_method_20_result_matrix.json +36 -36
- data/task_surface_integrity.json +1 -1
- data/unified_task_model_radar.json +70 -70
- data/website_integrity.json +10 -10
- docs/assets/charts/episode128_task_model_radar.svg +6 -3
- docs/data/artifact_index.json +120 -32
- docs/data/episode128_task_model_radar.json +60 -60
- docs/data/figure_index.json +5 -5
- docs/data/mirror_parity.json +760 -202
- docs/data/public_surface_qa.json +6 -6
- docs/data/publication_audit.json +7 -7
- docs/data/quality_gates.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 +13 -55
- docs/data/task_method_20_result_matrix.json +36 -36
- docs/data/task_surface_integrity.json +1 -1
- docs/data/unified_task_model_radar.json +70 -70
- docs/data/website_integrity.json +10 -10
- results/omni_finetune/xperience10m_qwen3_omni_v6_future_task_probes_a100_20260616T143608Z/next_subtask_forecast/predictions.jsonl +0 -0
- results/omni_finetune/xperience10m_qwen3_omni_v6_future_task_probes_a100_20260616T143608Z/object_set_forecast/predictions.csv +0 -0
- results/omni_finetune/xperience10m_qwen3_omni_v6_future_task_probes_a100_20260616T143608Z/object_set_forecast/predictions.jsonl +0 -0
- results/omni_finetune/xperience10m_qwen3_omni_v6_future_task_probes_a100_20260616T143608Z/summary.json +35 -0
- scripts/build_artifact_index.py +61 -0
- scripts/sync_hf_publish_mirrors.py +1 -0
- scripts/validate_mirror_parity.py +22 -0
TASK_METHOD_20_GAP_AUDIT.md
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# Task Method 20-Result Gap Audit
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Generated: `2026-06-
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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 Metadata NN | metadata128_neural_mlp | 6/20 | 14 | 0 | not_supported_by_metadata_only_package: 14, scored: 6 |
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| 128ep Raw Simple | raw128_simple | 20/20 | 0 | 2 | proxy_scored: 2, scored: 18 |
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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 |
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| Cosmos3-Super Reasoner | cosmos3_super_reasoner | 7/20 | 13 | 0 | not_evaluated_in_verified_package: 13, scored: 7 |
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| Cosmos3-Nano Future Window | cosmos3_nano_future_window | 5/20 | 15 | 0 | not_evaluated_in_verified_package: 15, scored: 5 |
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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 | 22 | 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 | 4 | 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-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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| 13 | Long-Horizon Next-Action Forecasting | 128ep Metadata Simple | 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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| 13 | Long-Horizon Next-Action Forecasting | 128ep Metadata 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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| 13 | Long-Horizon Next-Action Forecasting | 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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| 13 | Long-Horizon Next-Action 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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| 76 |
| 13 | Long-Horizon Next-Action 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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| 14 | Long-Horizon Next-Subtask Forecasting | 128ep Metadata Simple | 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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| 14 | Long-Horizon Next-Subtask Forecasting | 128ep Metadata 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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| 14 | Long-Horizon Next-Subtask Forecasting | 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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| 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 Metadata Simple | 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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| 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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| 90 |
| 17 | Future Object-Set Forecasting | 128ep Metadata Simple | 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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| 17 | Future Object-Set Forecasting | 128ep Metadata 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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| 17 | Future Object-Set Forecasting | 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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| 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 | 128ep Metadata Simple | 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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# Task Method 20-Result Gap Audit
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+
Generated: `2026-06-17T07:04:39+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: `116`
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+
- Scoreless records: `64`
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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 Metadata NN | metadata128_neural_mlp | 6/20 | 14 | 0 | not_supported_by_metadata_only_package: 14, scored: 6 |
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| 128ep Raw Simple | raw128_simple | 20/20 | 0 | 2 | proxy_scored: 2, scored: 18 |
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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 | 10/20 | 10 | 0 | not_evaluated_in_verified_package: 10, scored: 10 |
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| Cosmos3-Super Reasoner | cosmos3_super_reasoner | 7/20 | 13 | 0 | not_evaluated_in_verified_package: 13, scored: 7 |
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| Cosmos3-Nano Future Window | cosmos3_nano_future_window | 5/20 | 15 | 0 | not_evaluated_in_verified_package: 15, scored: 5 |
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| Status | Count | Next step |
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| --- | --- | --- |
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+
| not_evaluated_in_verified_package | 38 | 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 | 22 | 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 | 4 | Export the missing target field for this 128-episode method, then rerun the same train/validation/test split. |
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| 71 |
| 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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| 72 |
| 13 | Long-Horizon Next-Action Forecasting | 128ep Metadata Simple | 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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| 13 | Long-Horizon Next-Action Forecasting | 128ep Metadata 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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| 74 |
| 13 | Long-Horizon Next-Action 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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| 75 |
| 13 | Long-Horizon Next-Action 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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| 76 |
| 14 | Long-Horizon Next-Subtask Forecasting | 128ep Metadata Simple | 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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| 77 |
| 14 | Long-Horizon Next-Subtask Forecasting | 128ep Metadata 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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| 78 |
| 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. |
|
| 79 |
| 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. |
|
| 80 |
| 15 | Interaction Text Prediction | 128ep Metadata Simple | 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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|
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| 87 |
| 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. |
|
| 88 |
| 17 | Future Object-Set Forecasting | 128ep Metadata Simple | 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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| 89 |
| 17 | Future Object-Set Forecasting | 128ep Metadata 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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|
|
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| 90 |
| 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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| 91 |
| 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 | 128ep Metadata Simple | 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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TASK_METHOD_20_RESULT_MATRIX.md
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| 128ep Metadata NN | 20 | 6 | 0 | 14 | not supported 14, scored 6 |
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| 128ep Raw Simple | 20 | 20 | 2 | 0 | proxy scored 2, scored 18 |
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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 |
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| Cosmos3-Super Reasoner | 20 | 7 | 0 | 13 | not evaluated 13, scored 7 |
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| Cosmos3-Nano Future Window | 20 | 5 | 0 | 15 | not evaluated 15, scored 5 |
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| 10 | Cross-Modal Reconstruction | score | score | unsupported | not supported | score | score | not evaluated | not evaluated | not evaluated |
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| 11 | Temporal Order Verification | score | score | score | not supported | score | score | not evaluated | not evaluated | not evaluated |
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| 12 | Multimodal Synchronization Detection | score | score | unsupported | not supported | score | score | not evaluated | not evaluated | not evaluated |
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-
| 13 | Long-Horizon Next-Action Forecasting | score | score | not supported | not supported | score | score |
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-
| 14 | Long-Horizon Next-Subtask Forecasting | score | score | not supported | not supported | score | score |
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| 15 | Interaction Text Prediction | score | score | not supported | not supported | proxy | proxy | not evaluated | not evaluated | not evaluated |
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| 16 | Action-Object Relation Prediction | score | score | not supported | not supported | score | score | score | score | not evaluated |
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-
| 17 | Future Object-Set Forecasting | score | score | not supported | not supported | score | score |
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| 18 | IMU-to-Hand Pose Reconstruction | score | score | not supported | not supported | score | score | not evaluated | not evaluated | not evaluated |
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| 19 | Camera-View Synchronization Retrieval | score | score | not supported | not supported | proxy | proxy | not evaluated | not evaluated | not evaluated |
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| 20 | Time-to-Next-Transition Regression | score | score | not supported | not supported | score | score | not evaluated | not evaluated | not evaluated |
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| 128ep Metadata NN | 20 | 6 | 0 | 14 | not supported 14, scored 6 |
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| 128ep Raw Simple | 20 | 20 | 2 | 0 | proxy scored 2, scored 18 |
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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 | 10 | 0 | 10 | not evaluated 10, scored 10 |
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| 16 |
| Cosmos3-Super Reasoner | 20 | 7 | 0 | 13 | not evaluated 13, scored 7 |
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| Cosmos3-Nano Future Window | 20 | 5 | 0 | 15 | not evaluated 15, scored 5 |
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| 10 | Cross-Modal Reconstruction | score | score | unsupported | not supported | score | score | not evaluated | not evaluated | not evaluated |
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| 11 | Temporal Order Verification | score | score | score | not supported | score | score | not evaluated | not evaluated | not evaluated |
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| 32 |
| 12 | Multimodal Synchronization Detection | score | score | unsupported | not supported | score | score | not evaluated | not evaluated | not evaluated |
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| 33 |
+
| 13 | Long-Horizon Next-Action Forecasting | score | score | not supported | not supported | score | score | score | not evaluated | not evaluated |
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| 34 |
+
| 14 | Long-Horizon Next-Subtask Forecasting | score | score | not supported | not supported | score | score | score | not evaluated | not evaluated |
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| 35 |
| 15 | Interaction Text Prediction | score | score | not supported | not supported | proxy | proxy | not evaluated | not evaluated | not evaluated |
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| 36 |
| 16 | Action-Object Relation Prediction | score | score | not supported | not supported | score | score | score | score | not evaluated |
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| 37 |
+
| 17 | Future Object-Set Forecasting | score | score | not supported | not supported | score | score | score | not evaluated | not evaluated |
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| 38 |
| 18 | IMU-to-Hand Pose Reconstruction | score | score | not supported | not supported | score | score | not evaluated | not evaluated | not evaluated |
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| 39 |
| 19 | Camera-View Synchronization Retrieval | score | score | not supported | not supported | proxy | proxy | not evaluated | not evaluated | not evaluated |
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| 20 | Time-to-Next-Transition Regression | score | score | not supported | not supported | score | score | not evaluated | not evaluated | not evaluated |
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assets/charts/episode128_task_model_radar.svg
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assets/charts/unified_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":
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"missing": [],
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"by_kind": {
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"project_path": 14,
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"scaleup_contract": 7,
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"scaleup_status":
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"publication_workflow": 6,
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"reproducibility": 4,
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"project_scope": 1,
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"website_data": 10,
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"generated_figure": 7,
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"visualization_builder": 1,
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"model_result":
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"result_interpretation": 5,
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"metrics_source":
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"visual_evidence": 7,
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"dataset_context": 1,
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"quality_gate": 12,
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"citation": 1,
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"license": 1,
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"verified_public_package": 10,
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"publication_audit":
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},
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"artifacts": [
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{
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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": "repo_hf",
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"shows": "Publishes prepared Space, artifact dataset, and model bundles, including an explicit model-binary upload batch.",
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"exists": true,
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"bytes":
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"sha256": "
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"id": "github_package_dockerfile",
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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": 50973,
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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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"sha256": "
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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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"sha256": "
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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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{
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@@ -684,8 +684,8 @@
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"surface": "website_hf",
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"volatile": true,
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"volatile": true,
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"shows": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
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@@ -359,8 +359,8 @@
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| 18221 |
{
|
| 18222 |
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| 18223 |
"status": "pass",
|
|
@@ -18906,27 +19464,27 @@
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|
| 18906 |
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| 18937 |
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data/public_surface_qa.json
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| 1 |
{
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| 29 |
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| 32 |
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@@ -43,12 +43,12 @@
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| 47 |
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| 18 |
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| 19 |
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| 52 |
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data/publication_audit.json
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@@ -222,8 +222,8 @@
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| 223 |
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| 228 |
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| 229 |
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@@ -233,8 +233,8 @@
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| 234 |
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| 235 |
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| 236 |
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| 240 |
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| 4 |
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|
| 211 |
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| 212 |
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| 213 |
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| 214 |
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| 218 |
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| 222 |
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| 224 |
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| 228 |
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| 229 |
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|
| 233 |
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| 234 |
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| 235 |
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| 236 |
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| 240 |
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CHANGED
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@@ -1,7 +1,7 @@
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|
| 1 |
{
|
| 2 |
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| 3 |
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| 4 |
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| 5 |
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| 6 |
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| 7 |
{
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|
|
| 1 |
{
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| 2 |
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| 3 |
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| 4 |
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| 5 |
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| 6 |
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data/scope_claims_audit.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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| 4 |
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| 6 |
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|
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|
| 1 |
{
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| 2 |
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| 3 |
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| 4 |
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| 5 |
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CHANGED
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@@ -1,7 +1,7 @@
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|
| 1 |
{
|
| 2 |
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| 3 |
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| 4 |
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| 5 |
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| 6 |
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|
| 7 |
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|
|
|
| 1 |
{
|
| 2 |
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|
| 3 |
"status": "pass",
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| 4 |
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|
| 5 |
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| 6 |
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| 7 |
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data/source_alignment_audit.json
CHANGED
|
@@ -1,7 +1,7 @@
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|
| 1 |
{
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| 2 |
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| 3 |
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| 4 |
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"generated_at_utc": "2026-06-
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| 5 |
"alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
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| 6 |
"alignment_summary": {
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| 7 |
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|
|
|
|
| 1 |
{
|
| 2 |
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|
| 3 |
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| 4 |
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| 5 |
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| 6 |
"alignment_summary": {
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| 7 |
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data/task_method_20_gap_audit.json
CHANGED
|
@@ -1,10 +1,10 @@
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| 1 |
{
|
| 2 |
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| 3 |
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| 4 |
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| 5 |
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| 6 |
"id": "gap_audit",
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| 7 |
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| 8 |
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| 9 |
{
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| 10 |
"artifact": "scripts/omni/score_model_output_probes.py",
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|
@@ -101,11 +101,11 @@
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| 101 |
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| 102 |
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| 103 |
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| 104 |
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| 105 |
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| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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| 111 |
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|
@@ -140,10 +140,10 @@
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|
| 140 |
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| 141 |
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| 142 |
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| 143 |
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"qwen3_omni_v6_lora":
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| 144 |
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| 145 |
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| 146 |
-
"not_evaluated_in_verified_package":
|
| 147 |
"not_supported_by_metadata_only_package": 22,
|
| 148 |
"unsupported_without_required_target": 4
|
| 149 |
},
|
|
@@ -197,15 +197,13 @@
|
|
| 197 |
"cosmos3_nano_future_window",
|
| 198 |
"cosmos3_super_reasoner",
|
| 199 |
"metadata128_neural_mlp",
|
| 200 |
-
"metadata128_simple"
|
| 201 |
-
"qwen3_omni_v6_lora"
|
| 202 |
],
|
| 203 |
"14 Long-Horizon Next-Subtask Forecasting": [
|
| 204 |
"cosmos3_nano_future_window",
|
| 205 |
"cosmos3_super_reasoner",
|
| 206 |
"metadata128_neural_mlp",
|
| 207 |
-
"metadata128_simple"
|
| 208 |
-
"qwen3_omni_v6_lora"
|
| 209 |
],
|
| 210 |
"15 Interaction Text Prediction": [
|
| 211 |
"cosmos3_nano_future_window",
|
|
@@ -223,8 +221,7 @@
|
|
| 223 |
"cosmos3_nano_future_window",
|
| 224 |
"cosmos3_super_reasoner",
|
| 225 |
"metadata128_neural_mlp",
|
| 226 |
-
"metadata128_simple"
|
| 227 |
-
"qwen3_omni_v6_lora"
|
| 228 |
],
|
| 229 |
"18 IMU-to-Hand Pose Reconstruction": [
|
| 230 |
"cosmos3_nano_future_window",
|
|
@@ -652,19 +649,6 @@
|
|
| 652 |
"task_label": "Long-Horizon Next-Action Forecasting",
|
| 653 |
"task_number": 13
|
| 654 |
},
|
| 655 |
-
{
|
| 656 |
-
"method": "Qwen3-Omni v6 LoRA",
|
| 657 |
-
"metric_key": "macro_f1",
|
| 658 |
-
"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",
|
| 659 |
-
"recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
|
| 660 |
-
"scope": "multi_episode_128_partial_model_overlay",
|
| 661 |
-
"series_id": "qwen3_omni_v6_lora",
|
| 662 |
-
"status": "not_evaluated_in_verified_package",
|
| 663 |
-
"status_label": "not evaluated",
|
| 664 |
-
"task_id": "long_horizon_next_action",
|
| 665 |
-
"task_label": "Long-Horizon Next-Action Forecasting",
|
| 666 |
-
"task_number": 13
|
| 667 |
-
},
|
| 668 |
{
|
| 669 |
"method": "Cosmos3-Super Reasoner",
|
| 670 |
"metric_key": "macro_f1",
|
|
@@ -717,19 +701,6 @@
|
|
| 717 |
"task_label": "Long-Horizon Next-Subtask Forecasting",
|
| 718 |
"task_number": 14
|
| 719 |
},
|
| 720 |
-
{
|
| 721 |
-
"method": "Qwen3-Omni v6 LoRA",
|
| 722 |
-
"metric_key": "macro_f1",
|
| 723 |
-
"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",
|
| 724 |
-
"recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
|
| 725 |
-
"scope": "multi_episode_128_partial_model_overlay",
|
| 726 |
-
"series_id": "qwen3_omni_v6_lora",
|
| 727 |
-
"status": "not_evaluated_in_verified_package",
|
| 728 |
-
"status_label": "not evaluated",
|
| 729 |
-
"task_id": "next_subtask_forecast",
|
| 730 |
-
"task_label": "Long-Horizon Next-Subtask Forecasting",
|
| 731 |
-
"task_number": 14
|
| 732 |
-
},
|
| 733 |
{
|
| 734 |
"method": "Cosmos3-Super Reasoner",
|
| 735 |
"metric_key": "macro_f1",
|
|
@@ -886,19 +857,6 @@
|
|
| 886 |
"task_label": "Future Object-Set Forecasting",
|
| 887 |
"task_number": 17
|
| 888 |
},
|
| 889 |
-
{
|
| 890 |
-
"method": "Qwen3-Omni v6 LoRA",
|
| 891 |
-
"metric_key": "micro_f1",
|
| 892 |
-
"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",
|
| 893 |
-
"recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
|
| 894 |
-
"scope": "multi_episode_128_partial_model_overlay",
|
| 895 |
-
"series_id": "qwen3_omni_v6_lora",
|
| 896 |
-
"status": "not_evaluated_in_verified_package",
|
| 897 |
-
"status_label": "not evaluated",
|
| 898 |
-
"task_id": "object_set_forecast",
|
| 899 |
-
"task_label": "Future Object-Set Forecasting",
|
| 900 |
-
"task_number": 17
|
| 901 |
-
},
|
| 902 |
{
|
| 903 |
"method": "Cosmos3-Super Reasoner",
|
| 904 |
"metric_key": "micro_f1",
|
|
@@ -1167,8 +1125,8 @@
|
|
| 1167 |
"method_count": 9,
|
| 1168 |
"method_task_record_count": 180,
|
| 1169 |
"proxy_scored_method_task_count": 4,
|
| 1170 |
-
"scored_method_task_count":
|
| 1171 |
-
"scoreless_method_task_count":
|
| 1172 |
"task_count": 20
|
| 1173 |
},
|
| 1174 |
"source_matrix": "docs/data/task_method_20_result_matrix.json",
|
|
|
|
| 1 |
{
|
| 2 |
+
"generated_at_utc": "2026-06-17T07:04:39+00:00",
|
| 3 |
"immediate_actions": [
|
| 4 |
{
|
| 5 |
"artifact": "docs/data/task_method_20_gap_audit.json",
|
| 6 |
"id": "gap_audit",
|
| 7 |
+
"purpose": "Keep the 64 scoreless cells visible and reproducible."
|
| 8 |
},
|
| 9 |
{
|
| 10 |
"artifact": "scripts/omni/score_model_output_probes.py",
|
|
|
|
| 101 |
"proxy_scored_task_count": 0,
|
| 102 |
"result_record_count": 20,
|
| 103 |
"scope": "128 selected episodes, held-out test",
|
| 104 |
+
"scored_task_count": 10,
|
| 105 |
+
"scoreless_task_count": 10,
|
| 106 |
"status_counts": {
|
| 107 |
+
"not_evaluated_in_verified_package": 10,
|
| 108 |
+
"scored": 10
|
| 109 |
}
|
| 110 |
},
|
| 111 |
"raw128_neural_mlp": {
|
|
|
|
| 140 |
"cosmos3_super_reasoner": 13,
|
| 141 |
"metadata128_neural_mlp": 14,
|
| 142 |
"metadata128_simple": 12,
|
| 143 |
+
"qwen3_omni_v6_lora": 10
|
| 144 |
},
|
| 145 |
"missing_by_status": {
|
| 146 |
+
"not_evaluated_in_verified_package": 38,
|
| 147 |
"not_supported_by_metadata_only_package": 22,
|
| 148 |
"unsupported_without_required_target": 4
|
| 149 |
},
|
|
|
|
| 197 |
"cosmos3_nano_future_window",
|
| 198 |
"cosmos3_super_reasoner",
|
| 199 |
"metadata128_neural_mlp",
|
| 200 |
+
"metadata128_simple"
|
|
|
|
| 201 |
],
|
| 202 |
"14 Long-Horizon Next-Subtask Forecasting": [
|
| 203 |
"cosmos3_nano_future_window",
|
| 204 |
"cosmos3_super_reasoner",
|
| 205 |
"metadata128_neural_mlp",
|
| 206 |
+
"metadata128_simple"
|
|
|
|
| 207 |
],
|
| 208 |
"15 Interaction Text Prediction": [
|
| 209 |
"cosmos3_nano_future_window",
|
|
|
|
| 221 |
"cosmos3_nano_future_window",
|
| 222 |
"cosmos3_super_reasoner",
|
| 223 |
"metadata128_neural_mlp",
|
| 224 |
+
"metadata128_simple"
|
|
|
|
| 225 |
],
|
| 226 |
"18 IMU-to-Hand Pose Reconstruction": [
|
| 227 |
"cosmos3_nano_future_window",
|
|
|
|
| 649 |
"task_label": "Long-Horizon Next-Action Forecasting",
|
| 650 |
"task_number": 13
|
| 651 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 652 |
{
|
| 653 |
"method": "Cosmos3-Super Reasoner",
|
| 654 |
"metric_key": "macro_f1",
|
|
|
|
| 701 |
"task_label": "Long-Horizon Next-Subtask Forecasting",
|
| 702 |
"task_number": 14
|
| 703 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 704 |
{
|
| 705 |
"method": "Cosmos3-Super Reasoner",
|
| 706 |
"metric_key": "macro_f1",
|
|
|
|
| 857 |
"task_label": "Future Object-Set Forecasting",
|
| 858 |
"task_number": 17
|
| 859 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 860 |
{
|
| 861 |
"method": "Cosmos3-Super Reasoner",
|
| 862 |
"metric_key": "micro_f1",
|
|
|
|
| 1125 |
"method_count": 9,
|
| 1126 |
"method_task_record_count": 180,
|
| 1127 |
"proxy_scored_method_task_count": 4,
|
| 1128 |
+
"scored_method_task_count": 116,
|
| 1129 |
+
"scoreless_method_task_count": 64,
|
| 1130 |
"task_count": 20
|
| 1131 |
},
|
| 1132 |
"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-
|
| 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",
|
|
@@ -161,17 +161,17 @@
|
|
| 161 |
"method_detail": "Verified held-out Qwen3-Omni v6 LoRA metrics, plus task 16 and any completed private-GPU future-task probes scored from task-specific JSON.",
|
| 162 |
"plotted_as": "colored point overlay",
|
| 163 |
"result_record_count": 20,
|
| 164 |
-
"scored_task_count":
|
| 165 |
-
"covered_task_count":
|
| 166 |
"proxy_scored_task_count": 0,
|
| 167 |
-
"scoreless_task_count":
|
| 168 |
"unsupported_task_count": 0,
|
| 169 |
-
"not_evaluated_task_count":
|
| 170 |
"status_counts": {
|
| 171 |
-
"not_evaluated_in_verified_package":
|
| 172 |
-
"scored":
|
| 173 |
},
|
| 174 |
-
"coverage_fraction": 0.
|
| 175 |
"result_record_fraction": 1.0
|
| 176 |
},
|
| 177 |
{
|
|
@@ -2282,17 +2282,17 @@
|
|
| 2282 |
"task_label": "Long-Horizon Next-Action Forecasting",
|
| 2283 |
"series_id": "qwen3_omni_v6_lora",
|
| 2284 |
"method": "Qwen3-Omni v6 LoRA",
|
| 2285 |
-
"status": "
|
| 2286 |
-
"status_label": "
|
| 2287 |
-
"scored":
|
| 2288 |
"proxy_scored": false,
|
| 2289 |
-
"raw":
|
| 2290 |
-
"raw_text": "
|
| 2291 |
-
"normalized_score":
|
| 2292 |
-
"metric_key": "
|
| 2293 |
-
"source":
|
| 2294 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 2295 |
-
"reason":
|
| 2296 |
},
|
| 2297 |
{
|
| 2298 |
"task_number": 13,
|
|
@@ -2444,17 +2444,17 @@
|
|
| 2444 |
"task_label": "Long-Horizon Next-Subtask Forecasting",
|
| 2445 |
"series_id": "qwen3_omni_v6_lora",
|
| 2446 |
"method": "Qwen3-Omni v6 LoRA",
|
| 2447 |
-
"status": "
|
| 2448 |
-
"status_label": "
|
| 2449 |
-
"scored":
|
| 2450 |
"proxy_scored": false,
|
| 2451 |
-
"raw":
|
| 2452 |
-
"raw_text": "
|
| 2453 |
-
"normalized_score":
|
| 2454 |
-
"metric_key": "
|
| 2455 |
-
"source":
|
| 2456 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 2457 |
-
"reason":
|
| 2458 |
},
|
| 2459 |
{
|
| 2460 |
"task_number": 14,
|
|
@@ -2930,17 +2930,17 @@
|
|
| 2930 |
"task_label": "Future Object-Set Forecasting",
|
| 2931 |
"series_id": "qwen3_omni_v6_lora",
|
| 2932 |
"method": "Qwen3-Omni v6 LoRA",
|
| 2933 |
-
"status": "
|
| 2934 |
-
"status_label": "
|
| 2935 |
-
"scored":
|
| 2936 |
"proxy_scored": false,
|
| 2937 |
-
"raw":
|
| 2938 |
-
"raw_text": "
|
| 2939 |
-
"normalized_score":
|
| 2940 |
-
"metric_key": "
|
| 2941 |
-
"source":
|
| 2942 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 2943 |
-
"reason":
|
| 2944 |
},
|
| 2945 |
{
|
| 2946 |
"task_number": 17,
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Task Method 20-Result Matrix",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-17T07:04:16+00:00",
|
| 5 |
"task_count": 20,
|
| 6 |
"method_count": 9,
|
| 7 |
"method_task_record_count": 180,
|
| 8 |
+
"scored_method_task_count": 116,
|
| 9 |
"series": [
|
| 10 |
{
|
| 11 |
"id": "minimal",
|
|
|
|
| 161 |
"method_detail": "Verified held-out Qwen3-Omni v6 LoRA metrics, plus task 16 and any completed private-GPU future-task probes scored from task-specific JSON.",
|
| 162 |
"plotted_as": "colored point overlay",
|
| 163 |
"result_record_count": 20,
|
| 164 |
+
"scored_task_count": 10,
|
| 165 |
+
"covered_task_count": 10,
|
| 166 |
"proxy_scored_task_count": 0,
|
| 167 |
+
"scoreless_task_count": 10,
|
| 168 |
"unsupported_task_count": 0,
|
| 169 |
+
"not_evaluated_task_count": 10,
|
| 170 |
"status_counts": {
|
| 171 |
+
"not_evaluated_in_verified_package": 10,
|
| 172 |
+
"scored": 10
|
| 173 |
},
|
| 174 |
+
"coverage_fraction": 0.5,
|
| 175 |
"result_record_fraction": 1.0
|
| 176 |
},
|
| 177 |
{
|
|
|
|
| 2282 |
"task_label": "Long-Horizon Next-Action Forecasting",
|
| 2283 |
"series_id": "qwen3_omni_v6_lora",
|
| 2284 |
"method": "Qwen3-Omni v6 LoRA",
|
| 2285 |
+
"status": "scored",
|
| 2286 |
+
"status_label": "scored",
|
| 2287 |
+
"scored": true,
|
| 2288 |
"proxy_scored": false,
|
| 2289 |
+
"raw": 0.0023356666867101906,
|
| 2290 |
+
"raw_text": "0.0023",
|
| 2291 |
+
"normalized_score": 0.0023356666867101906,
|
| 2292 |
+
"metric_key": "long_horizon_next_action_macro_f1",
|
| 2293 |
+
"source": "results/omni_finetune/xperience10m_qwen3_omni_v6_future_task_probes_a100_20260616T143608Z/long_horizon_next_action/metrics.json",
|
| 2294 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 2295 |
+
"reason": null
|
| 2296 |
},
|
| 2297 |
{
|
| 2298 |
"task_number": 13,
|
|
|
|
| 2444 |
"task_label": "Long-Horizon Next-Subtask Forecasting",
|
| 2445 |
"series_id": "qwen3_omni_v6_lora",
|
| 2446 |
"method": "Qwen3-Omni v6 LoRA",
|
| 2447 |
+
"status": "scored",
|
| 2448 |
+
"status_label": "scored",
|
| 2449 |
+
"scored": true,
|
| 2450 |
"proxy_scored": false,
|
| 2451 |
+
"raw": 0.004206715978529301,
|
| 2452 |
+
"raw_text": "0.0042",
|
| 2453 |
+
"normalized_score": 0.004206715978529301,
|
| 2454 |
+
"metric_key": "next_subtask_forecast_macro_f1",
|
| 2455 |
+
"source": "results/omni_finetune/xperience10m_qwen3_omni_v6_future_task_probes_a100_20260616T143608Z/next_subtask_forecast/metrics.json",
|
| 2456 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 2457 |
+
"reason": null
|
| 2458 |
},
|
| 2459 |
{
|
| 2460 |
"task_number": 14,
|
|
|
|
| 2930 |
"task_label": "Future Object-Set Forecasting",
|
| 2931 |
"series_id": "qwen3_omni_v6_lora",
|
| 2932 |
"method": "Qwen3-Omni v6 LoRA",
|
| 2933 |
+
"status": "scored",
|
| 2934 |
+
"status_label": "scored",
|
| 2935 |
+
"scored": true,
|
| 2936 |
"proxy_scored": false,
|
| 2937 |
+
"raw": 0.1659483964851402,
|
| 2938 |
+
"raw_text": "0.1659",
|
| 2939 |
+
"normalized_score": 0.1659483964851402,
|
| 2940 |
+
"metric_key": "object_set_forecast_micro_f1",
|
| 2941 |
+
"source": "results/omni_finetune/xperience10m_qwen3_omni_v6_future_task_probes_a100_20260616T143608Z/object_set_forecast/metrics.json",
|
| 2942 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 2943 |
+
"reason": null
|
| 2944 |
},
|
| 2945 |
{
|
| 2946 |
"task_number": 17,
|
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": "2026-06-17T07:22:34+00:00",
|
| 4 |
"summary": {
|
| 5 |
"task_count": 12,
|
| 6 |
"expected_task_count": 12,
|
data/unified_task_model_radar.json
CHANGED
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@@ -1,11 +1,11 @@
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| 1 |
{
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| 2 |
"title": "Unified 20-Task Model Radar",
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| 3 |
"status": "pass",
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| 4 |
-
"generated_at_utc": "2026-06-
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| 5 |
"task_count": 20,
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| 6 |
"method_count": 9,
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| 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",
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@@ -170,17 +170,17 @@
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|
| 170 |
"method_detail": "Verified held-out Qwen3-Omni v6 LoRA metrics, plus task 16 and any completed private-GPU future-task probes scored from task-specific JSON.",
|
| 171 |
"plotted_as": "colored point overlay",
|
| 172 |
"result_record_count": 20,
|
| 173 |
-
"scored_task_count":
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| 174 |
-
"covered_task_count":
|
| 175 |
"proxy_scored_task_count": 0,
|
| 176 |
-
"scoreless_task_count":
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| 177 |
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| 178 |
-
"not_evaluated_task_count":
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| 179 |
"status_counts": {
|
| 180 |
-
"not_evaluated_in_verified_package":
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| 181 |
-
"scored":
|
| 182 |
},
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| 183 |
-
"coverage_fraction": 0.
|
| 184 |
"result_record_fraction": 1.0
|
| 185 |
},
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| 186 |
{
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@@ -1597,6 +1597,17 @@
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| 1597 |
"raw_text": "0.0655",
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| 1598 |
"status_label": "scored"
|
| 1599 |
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| 1600 |
"raw128_simple": {
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| 1601 |
"raw": 0.0024280172369056294,
|
| 1602 |
"metric_key": "macro_f1",
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|
@@ -1641,17 +1652,6 @@
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|
| 1641 |
"raw_text": "n/a",
|
| 1642 |
"status_label": "not supported"
|
| 1643 |
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|
| 1644 |
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"qwen3_omni_v6_lora": {
|
| 1645 |
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"raw": null,
|
| 1646 |
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"metric_key": "macro_f1",
|
| 1647 |
-
"source": null,
|
| 1648 |
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"scope": "multi_episode_128_partial_model_overlay",
|
| 1649 |
-
"status": "not_evaluated_in_verified_package",
|
| 1650 |
-
"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",
|
| 1651 |
-
"normalized_score": null,
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| 1652 |
-
"raw_text": "n/a",
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| 1653 |
-
"status_label": "not evaluated"
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| 1654 |
-
},
|
| 1655 |
"cosmos3_super_reasoner": {
|
| 1656 |
"raw": null,
|
| 1657 |
"metric_key": "macro_f1",
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|
@@ -1708,6 +1708,17 @@
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| 1708 |
"raw_text": "0.0507",
|
| 1709 |
"status_label": "scored"
|
| 1710 |
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| 1711 |
"raw128_simple": {
|
| 1712 |
"raw": 0.0,
|
| 1713 |
"metric_key": "macro_f1",
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|
@@ -1752,17 +1763,6 @@
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|
| 1752 |
"raw_text": "n/a",
|
| 1753 |
"status_label": "not supported"
|
| 1754 |
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|
| 1755 |
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"qwen3_omni_v6_lora": {
|
| 1756 |
-
"raw": null,
|
| 1757 |
-
"metric_key": "macro_f1",
|
| 1758 |
-
"source": null,
|
| 1759 |
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"scope": "multi_episode_128_partial_model_overlay",
|
| 1760 |
-
"status": "not_evaluated_in_verified_package",
|
| 1761 |
-
"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",
|
| 1762 |
-
"normalized_score": null,
|
| 1763 |
-
"raw_text": "n/a",
|
| 1764 |
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"status_label": "not evaluated"
|
| 1765 |
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|
| 1766 |
"cosmos3_super_reasoner": {
|
| 1767 |
"raw": null,
|
| 1768 |
"metric_key": "macro_f1",
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|
@@ -2041,6 +2041,17 @@
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|
| 2041 |
"raw_text": "0.1972",
|
| 2042 |
"status_label": "scored"
|
| 2043 |
},
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| 2044 |
"raw128_simple": {
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| 2045 |
"raw": 0.06469493412657774,
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| 2046 |
"metric_key": "micro_f1",
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|
@@ -2085,17 +2096,6 @@
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|
| 2085 |
"raw_text": "n/a",
|
| 2086 |
"status_label": "not supported"
|
| 2087 |
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|
| 2088 |
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"qwen3_omni_v6_lora": {
|
| 2089 |
-
"raw": null,
|
| 2090 |
-
"metric_key": "micro_f1",
|
| 2091 |
-
"source": null,
|
| 2092 |
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"scope": "multi_episode_128_partial_model_overlay",
|
| 2093 |
-
"status": "not_evaluated_in_verified_package",
|
| 2094 |
-
"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",
|
| 2095 |
-
"normalized_score": null,
|
| 2096 |
-
"raw_text": "n/a",
|
| 2097 |
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"status_label": "not evaluated"
|
| 2098 |
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|
| 2099 |
"cosmos3_super_reasoner": {
|
| 2100 |
"raw": null,
|
| 2101 |
"metric_key": "micro_f1",
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|
@@ -2492,7 +2492,7 @@
|
|
| 2492 |
"title": "Qwen3-Omni v6 LoRA",
|
| 2493 |
"status": "verified",
|
| 2494 |
"task_aligned_axes": "Qwen3",
|
| 2495 |
-
"coverage": "20 records /
|
| 2496 |
"headline": "JSON validity 0.9990; action macro-F1 0.0029",
|
| 2497 |
"source": "results/omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full/eval/metrics.json"
|
| 2498 |
},
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|
@@ -4580,17 +4580,17 @@
|
|
| 4580 |
"task_label": "Long-Horizon Next-Action Forecasting",
|
| 4581 |
"series_id": "qwen3_omni_v6_lora",
|
| 4582 |
"method": "Qwen3-Omni v6 LoRA",
|
| 4583 |
-
"status": "
|
| 4584 |
-
"status_label": "
|
| 4585 |
-
"scored":
|
| 4586 |
"proxy_scored": false,
|
| 4587 |
-
"raw":
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| 4588 |
-
"raw_text": "
|
| 4589 |
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"normalized_score":
|
| 4590 |
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"metric_key": "
|
| 4591 |
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"source":
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| 4592 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 4593 |
-
"reason":
|
| 4594 |
},
|
| 4595 |
{
|
| 4596 |
"task_number": 13,
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|
@@ -4742,17 +4742,17 @@
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|
| 4742 |
"task_label": "Long-Horizon Next-Subtask Forecasting",
|
| 4743 |
"series_id": "qwen3_omni_v6_lora",
|
| 4744 |
"method": "Qwen3-Omni v6 LoRA",
|
| 4745 |
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"status": "
|
| 4746 |
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"status_label": "
|
| 4747 |
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"scored":
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| 4748 |
"proxy_scored": false,
|
| 4749 |
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"raw":
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| 4750 |
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"raw_text": "
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| 4751 |
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"normalized_score":
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| 4752 |
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"metric_key": "
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| 4753 |
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"source":
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|
| 4755 |
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"reason":
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| 4756 |
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| 4757 |
{
|
| 4758 |
"task_number": 14,
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|
@@ -5228,17 +5228,17 @@
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|
| 5228 |
"task_label": "Future Object-Set Forecasting",
|
| 5229 |
"series_id": "qwen3_omni_v6_lora",
|
| 5230 |
"method": "Qwen3-Omni v6 LoRA",
|
| 5231 |
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"status": "
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| 5232 |
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| 5233 |
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"scored":
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| 5234 |
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| 5235 |
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"raw":
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| 5236 |
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"raw_text": "
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| 5237 |
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"normalized_score":
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| 5238 |
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"source":
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| 5240 |
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| 5241 |
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"reason":
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| 5242 |
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|
| 5243 |
{
|
| 5244 |
"task_number": 17,
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Unified 20-Task Model Radar",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-17T07:04:16+00:00",
|
| 5 |
"task_count": 20,
|
| 6 |
"method_count": 9,
|
| 7 |
"method_task_record_count": 180,
|
| 8 |
+
"scored_method_task_count": 116,
|
| 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",
|
|
|
|
| 170 |
"method_detail": "Verified held-out Qwen3-Omni v6 LoRA metrics, plus task 16 and any completed private-GPU future-task probes scored from task-specific JSON.",
|
| 171 |
"plotted_as": "colored point overlay",
|
| 172 |
"result_record_count": 20,
|
| 173 |
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| 174 |
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| 182 |
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| 184 |
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| 185 |
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| 186 |
{
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| 1599 |
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"qwen3_omni_v6_lora": {
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"raw": 0.0023356666867101906,
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"metric_key": "long_horizon_next_action_macro_f1",
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"source": "results/omni_finetune/xperience10m_qwen3_omni_v6_future_task_probes_a100_20260616T143608Z/long_horizon_next_action/metrics.json",
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| 1604 |
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"scope": "multi_episode_128_partial_model_overlay",
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"source": "results/omni_finetune/xperience10m_qwen3_omni_v6_future_task_probes_a100_20260616T143608Z/next_subtask_forecast/metrics.json",
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"title": "Qwen3-Omni v6 LoRA",
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"coverage": "20 records / 10 scored task-aligned axes",
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"headline": "JSON validity 0.9990; action macro-F1 0.0029",
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| 2497 |
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"source": "results/omni_finetune/xperience10m_qwen3_omni_v6_future_task_probes_a100_20260616T143608Z/next_subtask_forecast/metrics.json",
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"source": "results/omni_finetune/xperience10m_qwen3_omni_v6_future_task_probes_a100_20260616T143608Z/object_set_forecast/metrics.json",
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| 5242 |
},
|
| 5243 |
{
|
| 5244 |
"task_number": 17,
|
data/website_integrity.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"docs_root": "docs",
|
| 5 |
"site_base": "/ropedia-xperience-10m-task-suite/",
|
| 6 |
"summary": {
|
|
@@ -301,7 +301,7 @@
|
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| 301 |
},
|
| 302 |
{
|
| 303 |
"path": "data/artifact_index.json",
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-
"bytes":
|
| 305 |
"top_level_type": "dict"
|
| 306 |
},
|
| 307 |
{
|
|
@@ -316,7 +316,7 @@
|
|
| 316 |
},
|
| 317 |
{
|
| 318 |
"path": "data/episode128_task_model_radar.json",
|
| 319 |
-
"bytes":
|
| 320 |
"top_level_type": "dict"
|
| 321 |
},
|
| 322 |
{
|
|
@@ -346,7 +346,7 @@
|
|
| 346 |
},
|
| 347 |
{
|
| 348 |
"path": "data/mirror_parity.json",
|
| 349 |
-
"bytes":
|
| 350 |
"top_level_type": "dict"
|
| 351 |
},
|
| 352 |
{
|
|
@@ -391,7 +391,7 @@
|
|
| 391 |
},
|
| 392 |
{
|
| 393 |
"path": "data/publication_audit.json",
|
| 394 |
-
"bytes":
|
| 395 |
"top_level_type": "dict"
|
| 396 |
},
|
| 397 |
{
|
|
@@ -476,12 +476,12 @@
|
|
| 476 |
},
|
| 477 |
{
|
| 478 |
"path": "data/task_method_20_gap_audit.json",
|
| 479 |
-
"bytes":
|
| 480 |
"top_level_type": "dict"
|
| 481 |
},
|
| 482 |
{
|
| 483 |
"path": "data/task_method_20_result_matrix.json",
|
| 484 |
-
"bytes":
|
| 485 |
"top_level_type": "dict"
|
| 486 |
},
|
| 487 |
{
|
|
@@ -511,7 +511,7 @@
|
|
| 511 |
},
|
| 512 |
{
|
| 513 |
"path": "data/unified_task_model_radar.json",
|
| 514 |
-
"bytes":
|
| 515 |
"top_level_type": "dict"
|
| 516 |
},
|
| 517 |
{
|
|
@@ -551,7 +551,7 @@
|
|
| 551 |
{
|
| 552 |
"path": "assets/charts/episode128_task_model_radar.svg",
|
| 553 |
"exists": true,
|
| 554 |
-
"bytes":
|
| 555 |
"format": "SVG",
|
| 556 |
"has_viewbox": true
|
| 557 |
},
|
|
@@ -621,7 +621,7 @@
|
|
| 621 |
{
|
| 622 |
"path": "assets/charts/unified_task_model_radar.svg",
|
| 623 |
"exists": true,
|
| 624 |
-
"bytes":
|
| 625 |
"format": "SVG",
|
| 626 |
"has_viewbox": true
|
| 627 |
},
|
|
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
+
"generated_at_utc": "2026-06-17T07:22:36+00:00",
|
| 4 |
"docs_root": "docs",
|
| 5 |
"site_base": "/ropedia-xperience-10m-task-suite/",
|
| 6 |
"summary": {
|
|
|
|
| 301 |
},
|
| 302 |
{
|
| 303 |
"path": "data/artifact_index.json",
|
| 304 |
+
"bytes": 108681,
|
| 305 |
"top_level_type": "dict"
|
| 306 |
},
|
| 307 |
{
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| 316 |
},
|
| 317 |
{
|
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"path": "data/episode128_task_model_radar.json",
|
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+
"bytes": 187388,
|
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"top_level_type": "dict"
|
| 321 |
},
|
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{
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},
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{
|
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"path": "data/mirror_parity.json",
|
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+
"bytes": 899853,
|
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"top_level_type": "dict"
|
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},
|
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{
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| 391 |
},
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{
|
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"path": "data/publication_audit.json",
|
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+
"bytes": 8299,
|
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"top_level_type": "dict"
|
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},
|
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{
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},
|
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{
|
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"path": "data/task_method_20_gap_audit.json",
|
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+
"bytes": 55745,
|
| 480 |
"top_level_type": "dict"
|
| 481 |
},
|
| 482 |
{
|
| 483 |
"path": "data/task_method_20_result_matrix.json",
|
| 484 |
+
"bytes": 129749,
|
| 485 |
"top_level_type": "dict"
|
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},
|
| 487 |
{
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|
| 511 |
},
|
| 512 |
{
|
| 513 |
"path": "data/unified_task_model_radar.json",
|
| 514 |
+
"bytes": 231240,
|
| 515 |
"top_level_type": "dict"
|
| 516 |
},
|
| 517 |
{
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|
| 551 |
{
|
| 552 |
"path": "assets/charts/episode128_task_model_radar.svg",
|
| 553 |
"exists": true,
|
| 554 |
+
"bytes": 44044,
|
| 555 |
"format": "SVG",
|
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"has_viewbox": true
|
| 557 |
},
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| 621 |
{
|
| 622 |
"path": "assets/charts/unified_task_model_radar.svg",
|
| 623 |
"exists": true,
|
| 624 |
+
"bytes": 50060,
|
| 625 |
"format": "SVG",
|
| 626 |
"has_viewbox": true
|
| 627 |
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docs/assets/charts/episode128_task_model_radar.svg
CHANGED
|
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docs/data/artifact_index.json
CHANGED
|
@@ -1,13 +1,13 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Task Suite Artifact Index",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"status": "pass",
|
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"artifact_count":
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| 6 |
"missing": [],
|
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"by_kind": {
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"scaleup_contract": 7,
|
| 10 |
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"scaleup_status":
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"publication_workflow": 6,
|
| 12 |
"reproducibility": 4,
|
| 13 |
"project_scope": 1,
|
|
@@ -16,9 +16,9 @@
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|
| 16 |
"website_data": 10,
|
| 17 |
"generated_figure": 7,
|
| 18 |
"visualization_builder": 1,
|
| 19 |
-
"model_result":
|
| 20 |
"result_interpretation": 5,
|
| 21 |
-
"metrics_source":
|
| 22 |
"visual_evidence": 7,
|
| 23 |
"dataset_context": 1,
|
| 24 |
"quality_gate": 12,
|
|
@@ -35,7 +35,7 @@
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|
| 35 |
"citation": 1,
|
| 36 |
"license": 1,
|
| 37 |
"verified_public_package": 10,
|
| 38 |
-
"publication_audit":
|
| 39 |
},
|
| 40 |
"artifacts": [
|
| 41 |
{
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|
@@ -465,7 +465,7 @@
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|
| 465 |
"shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
|
| 466 |
"exists": true,
|
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"bytes": 4432,
|
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|
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"id": "source_alignment_validator",
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@@ -486,8 +486,8 @@
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|
| 486 |
"surface": "repo_hf",
|
| 487 |
"shows": "Publishes prepared Space, artifact dataset, and model bundles, including an explicit model-binary upload batch.",
|
| 488 |
"exists": true,
|
| 489 |
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"bytes":
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"sha256": "
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{
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| 493 |
"id": "github_package_dockerfile",
|
|
@@ -585,8 +585,8 @@
|
|
| 585 |
"surface": "website_hf",
|
| 586 |
"shows": "Stores normalized 20-axis radar values, raw task metrics, Qwen3/Cosmos overlay mappings, branch-card caveats, and explicit scoreless status records.",
|
| 587 |
"exists": true,
|
| 588 |
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"bytes":
|
| 589 |
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"sha256": "
|
| 590 |
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| 591 |
{
|
| 592 |
"id": "single_episode_task_model_radar_json",
|
|
@@ -597,7 +597,7 @@
|
|
| 597 |
"shows": "Machine-readable split radar for the one-episode Minimal and Neural MLP baselines, both scored on all 20 task contracts.",
|
| 598 |
"exists": true,
|
| 599 |
"bytes": 50973,
|
| 600 |
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"sha256": "
|
| 601 |
},
|
| 602 |
{
|
| 603 |
"id": "episode128_task_model_radar_json",
|
|
@@ -607,8 +607,8 @@
|
|
| 607 |
"surface": "website_hf",
|
| 608 |
"shows": "Machine-readable split radar for selected 128-episode metadata/raw baselines and verified Qwen3/Cosmos branches, preserving explicit scoreless cells.",
|
| 609 |
"exists": true,
|
| 610 |
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"bytes":
|
| 611 |
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"sha256": "
|
| 612 |
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| 613 |
{
|
| 614 |
"id": "task_method_20_result_matrix_json",
|
|
@@ -618,8 +618,8 @@
|
|
| 618 |
"surface": "website_hf",
|
| 619 |
"shows": "Machine-readable 9-method by 20-task matrix where every method has 20 records and scoreless cells carry unsupported/not-evaluated reasons.",
|
| 620 |
"exists": true,
|
| 621 |
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"bytes":
|
| 622 |
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"sha256": "
|
| 623 |
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| 624 |
{
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| 625 |
"id": "task_method_20_result_matrix",
|
|
@@ -629,8 +629,8 @@
|
|
| 629 |
"surface": "repo_hf",
|
| 630 |
"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.",
|
| 631 |
"exists": true,
|
| 632 |
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"bytes":
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| 633 |
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"sha256": "
|
| 634 |
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| 635 |
{
|
| 636 |
"id": "task_method_20_gap_audit_json",
|
|
@@ -640,8 +640,8 @@
|
|
| 640 |
"surface": "website_hf",
|
| 641 |
"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.",
|
| 642 |
"exists": true,
|
| 643 |
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"bytes":
|
| 644 |
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"sha256": "
|
| 645 |
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| 646 |
{
|
| 647 |
"id": "task_method_20_gap_audit",
|
|
@@ -651,8 +651,8 @@
|
|
| 651 |
"surface": "repo_hf",
|
| 652 |
"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.",
|
| 653 |
"exists": true,
|
| 654 |
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"bytes":
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| 655 |
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"sha256": "
|
| 656 |
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| 657 |
{
|
| 658 |
"id": "unified_task_model_radar_chart",
|
|
@@ -662,8 +662,8 @@
|
|
| 662 |
"surface": "website_hf",
|
| 663 |
"shows": "Compares minimal and neural MLP baselines across all 20 tasks, with Qwen3/Cosmos task-aligned model overlays.",
|
| 664 |
"exists": true,
|
| 665 |
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"bytes":
|
| 666 |
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"sha256": "
|
| 667 |
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|
| 668 |
{
|
| 669 |
"id": "single_episode_task_model_radar_chart",
|
|
@@ -684,8 +684,8 @@
|
|
| 684 |
"surface": "website_hf",
|
| 685 |
"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.",
|
| 686 |
"exists": true,
|
| 687 |
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"bytes":
|
| 688 |
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"sha256": "
|
| 689 |
},
|
| 690 |
{
|
| 691 |
"id": "unified_task_model_radar_builder",
|
|
@@ -894,7 +894,7 @@
|
|
| 894 |
"shows": "Machine-readable visual asset index for website and Hugging Face mirrors.",
|
| 895 |
"exists": true,
|
| 896 |
"bytes": 17287,
|
| 897 |
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"sha256": "
|
| 898 |
},
|
| 899 |
{
|
| 900 |
"id": "figure_index_builder",
|
|
@@ -971,7 +971,7 @@
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|
| 971 |
"shows": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
|
| 972 |
"exists": true,
|
| 973 |
"bytes": 8100,
|
| 974 |
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"sha256": "
|
| 975 |
},
|
| 976 |
{
|
| 977 |
"id": "public_surface_qa",
|
|
@@ -1118,8 +1118,8 @@
|
|
| 1118 |
"surface": "repo_hf",
|
| 1119 |
"shows": "Generates the selective artifact catalog from local files.",
|
| 1120 |
"exists": true,
|
| 1121 |
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"bytes":
|
| 1122 |
-
"sha256": "
|
| 1123 |
},
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| 1124 |
{
|
| 1125 |
"id": "publication_audit",
|
|
@@ -1130,7 +1130,7 @@
|
|
| 1130 |
"volatile": true,
|
| 1131 |
"shows": "Confirms public bundles exclude raw data, caches, heavy archives, and credential text.",
|
| 1132 |
"exists": true,
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| 1133 |
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"bytes":
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| 1134 |
"hash_policy": "existence_and_size_only"
|
| 1135 |
},
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| 1136 |
{
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|
@@ -1154,7 +1154,7 @@
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|
| 1154 |
"volatile": true,
|
| 1155 |
"shows": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
|
| 1156 |
"exists": true,
|
| 1157 |
-
"bytes":
|
| 1158 |
"hash_policy": "existence_and_size_only"
|
| 1159 |
},
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| 1160 |
{
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|
@@ -2147,6 +2147,94 @@
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|
| 2147 |
"exists": true,
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| 2148 |
"bytes": 624,
|
| 2149 |
"sha256": "0723ecb9dd5cef371e2120af10903fc84a3ef495edafc8959f5eec0a778abbf1"
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|
| 2150 |
}
|
| 2151 |
]
|
| 2152 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Task Suite Artifact Index",
|
| 3 |
+
"generated_at_utc": "2026-06-17T07:20:47+00:00",
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| 4 |
"status": "pass",
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|
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|
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|
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{
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| 465 |
"shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
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"exists": true,
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"sha256": "620e3238bd99516a89261c649b8d825ba335c851b4ff3f25f50a217ff9f2c446"
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{
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"id": "source_alignment_validator",
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| 486 |
"surface": "repo_hf",
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"shows": "Publishes prepared Space, artifact dataset, and model bundles, including an explicit model-binary upload batch.",
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"id": "github_package_dockerfile",
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| 585 |
"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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| 597 |
"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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"surface": "website_hf",
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"shows": "Compares minimal and neural MLP baselines across all 20 tasks, with Qwen3/Cosmos task-aligned model overlays.",
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"id": "single_episode_task_model_radar_chart",
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"surface": "website_hf",
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"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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"shows": "Confirms public bundles exclude raw data, caches, heavy archives, and credential text.",
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"volatile": true,
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"shows": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
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{
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"title": "Qwen3 future-task probe task 17 metrics",
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| 2220 |
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| 2229 |
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| 2230 |
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"title": "Qwen3 future-task probe launcher log",
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| 2231 |
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| 2232 |
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| 2238 |
}
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| 2240 |
}
|
docs/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-
|
| 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.",
|
| 6 |
"task_count": 20,
|
| 7 |
"method_count": 7,
|
| 8 |
"method_task_record_count": 140,
|
| 9 |
-
"scored_method_task_count":
|
| 10 |
"normalization_policy": {
|
| 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",
|
|
@@ -127,17 +127,17 @@
|
|
| 127 |
"method_detail": "Verified held-out Qwen3-Omni v6 LoRA metrics, plus task 16 and any completed private-GPU future-task probes scored from task-specific JSON.",
|
| 128 |
"plotted_as": "colored point overlay",
|
| 129 |
"result_record_count": 20,
|
| 130 |
-
"scored_task_count":
|
| 131 |
-
"covered_task_count":
|
| 132 |
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|
| 133 |
-
"scoreless_task_count":
|
| 134 |
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|
| 135 |
-
"not_evaluated_task_count":
|
| 136 |
"status_counts": {
|
| 137 |
-
"not_evaluated_in_verified_package":
|
| 138 |
-
"scored":
|
| 139 |
},
|
| 140 |
-
"coverage_fraction": 0.
|
| 141 |
"result_record_fraction": 1.0
|
| 142 |
},
|
| 143 |
{
|
|
@@ -1339,15 +1339,15 @@
|
|
| 1339 |
"status_label": "scored"
|
| 1340 |
},
|
| 1341 |
"qwen3_omni_v6_lora": {
|
| 1342 |
-
"raw":
|
| 1343 |
-
"metric_key": "
|
| 1344 |
-
"source":
|
| 1345 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 1346 |
-
"status": "
|
| 1347 |
-
"reason":
|
| 1348 |
-
"normalized_score":
|
| 1349 |
-
"raw_text": "
|
| 1350 |
-
"status_label": "
|
| 1351 |
},
|
| 1352 |
"cosmos3_super_reasoner": {
|
| 1353 |
"raw": null,
|
|
@@ -1430,15 +1430,15 @@
|
|
| 1430 |
"status_label": "scored"
|
| 1431 |
},
|
| 1432 |
"qwen3_omni_v6_lora": {
|
| 1433 |
-
"raw":
|
| 1434 |
-
"metric_key": "
|
| 1435 |
-
"source":
|
| 1436 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 1437 |
-
"status": "
|
| 1438 |
-
"reason":
|
| 1439 |
-
"normalized_score":
|
| 1440 |
-
"raw_text": "
|
| 1441 |
-
"status_label": "
|
| 1442 |
},
|
| 1443 |
"cosmos3_super_reasoner": {
|
| 1444 |
"raw": null,
|
|
@@ -1703,15 +1703,15 @@
|
|
| 1703 |
"status_label": "scored"
|
| 1704 |
},
|
| 1705 |
"qwen3_omni_v6_lora": {
|
| 1706 |
-
"raw":
|
| 1707 |
-
"metric_key": "
|
| 1708 |
-
"source":
|
| 1709 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 1710 |
-
"status": "
|
| 1711 |
-
"reason":
|
| 1712 |
-
"normalized_score":
|
| 1713 |
-
"raw_text": "
|
| 1714 |
-
"status_label": "
|
| 1715 |
},
|
| 1716 |
"cosmos3_super_reasoner": {
|
| 1717 |
"raw": null,
|
|
@@ -3602,17 +3602,17 @@
|
|
| 3602 |
"task_label": "Long-Horizon Next-Action Forecasting",
|
| 3603 |
"series_id": "qwen3_omni_v6_lora",
|
| 3604 |
"method": "Qwen3-Omni v6 LoRA",
|
| 3605 |
-
"status": "
|
| 3606 |
-
"status_label": "
|
| 3607 |
-
"scored":
|
| 3608 |
"proxy_scored": false,
|
| 3609 |
-
"raw":
|
| 3610 |
-
"raw_text": "
|
| 3611 |
-
"normalized_score":
|
| 3612 |
-
"metric_key": "
|
| 3613 |
-
"source":
|
| 3614 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 3615 |
-
"reason":
|
| 3616 |
},
|
| 3617 |
{
|
| 3618 |
"task_number": 13,
|
|
@@ -3728,17 +3728,17 @@
|
|
| 3728 |
"task_label": "Long-Horizon Next-Subtask Forecasting",
|
| 3729 |
"series_id": "qwen3_omni_v6_lora",
|
| 3730 |
"method": "Qwen3-Omni v6 LoRA",
|
| 3731 |
-
"status": "
|
| 3732 |
-
"status_label": "
|
| 3733 |
-
"scored":
|
| 3734 |
"proxy_scored": false,
|
| 3735 |
-
"raw":
|
| 3736 |
-
"raw_text": "
|
| 3737 |
-
"normalized_score":
|
| 3738 |
-
"metric_key": "
|
| 3739 |
-
"source":
|
| 3740 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 3741 |
-
"reason":
|
| 3742 |
},
|
| 3743 |
{
|
| 3744 |
"task_number": 14,
|
|
@@ -4106,17 +4106,17 @@
|
|
| 4106 |
"task_label": "Future Object-Set Forecasting",
|
| 4107 |
"series_id": "qwen3_omni_v6_lora",
|
| 4108 |
"method": "Qwen3-Omni v6 LoRA",
|
| 4109 |
-
"status": "
|
| 4110 |
-
"status_label": "
|
| 4111 |
-
"scored":
|
| 4112 |
"proxy_scored": false,
|
| 4113 |
-
"raw":
|
| 4114 |
-
"raw_text": "
|
| 4115 |
-
"normalized_score":
|
| 4116 |
-
"metric_key": "
|
| 4117 |
-
"source":
|
| 4118 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 4119 |
-
"reason":
|
| 4120 |
},
|
| 4121 |
{
|
| 4122 |
"task_number": 17,
|
|
|
|
| 1 |
{
|
| 2 |
"title": "128-Episode 20-Task Radar",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-17T07:04:16+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 |
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| 7 |
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| 11 |
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| 12 |
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|
|
|
|
| 127 |
"method_detail": "Verified held-out Qwen3-Omni v6 LoRA metrics, plus task 16 and any completed private-GPU future-task probes scored from task-specific JSON.",
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| 128 |
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| 129 |
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| 138 |
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|
| 139 |
},
|
| 140 |
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| 141 |
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| 142 |
},
|
| 143 |
{
|
|
|
|
| 1339 |
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|
| 1340 |
},
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| 1341 |
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|
| 1342 |
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| 1343 |
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| 1344 |
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|
| 1345 |
"scope": "multi_episode_128_partial_model_overlay",
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| 1346 |
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| 1347 |
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| 1348 |
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| 1349 |
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| 1350 |
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|
| 1351 |
},
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| 1352 |
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|
| 1353 |
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|
|
|
| 1430 |
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|
| 1431 |
},
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| 1432 |
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|
| 1433 |
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"raw": 0.004206715978529301,
|
| 1434 |
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|
| 1435 |
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"source": "results/omni_finetune/xperience10m_qwen3_omni_v6_future_task_probes_a100_20260616T143608Z/next_subtask_forecast/metrics.json",
|
| 1436 |
"scope": "multi_episode_128_partial_model_overlay",
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| 1437 |
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| 1438 |
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| 1439 |
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| 1440 |
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| 1441 |
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| 1442 |
},
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| 1443 |
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| 1444 |
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|
|
|
| 1703 |
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|
| 1704 |
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| 1705 |
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| 1706 |
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"raw": 0.1659483964851402,
|
| 1707 |
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| 1708 |
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"source": "results/omni_finetune/xperience10m_qwen3_omni_v6_future_task_probes_a100_20260616T143608Z/object_set_forecast/metrics.json",
|
| 1709 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 1710 |
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| 1711 |
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|
| 1712 |
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| 1713 |
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|
| 1715 |
},
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| 1716 |
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|
| 1717 |
"raw": null,
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|
|
|
| 3602 |
"task_label": "Long-Horizon Next-Action Forecasting",
|
| 3603 |
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|
| 3604 |
"method": "Qwen3-Omni v6 LoRA",
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| 3605 |
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| 3606 |
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| 3607 |
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| 3608 |
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| 3612 |
+
"metric_key": "long_horizon_next_action_macro_f1",
|
| 3613 |
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"source": "results/omni_finetune/xperience10m_qwen3_omni_v6_future_task_probes_a100_20260616T143608Z/long_horizon_next_action/metrics.json",
|
| 3614 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 3615 |
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"reason": null
|
| 3616 |
},
|
| 3617 |
{
|
| 3618 |
"task_number": 13,
|
|
|
|
| 3728 |
"task_label": "Long-Horizon Next-Subtask Forecasting",
|
| 3729 |
"series_id": "qwen3_omni_v6_lora",
|
| 3730 |
"method": "Qwen3-Omni v6 LoRA",
|
| 3731 |
+
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|
| 3732 |
+
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|
| 3733 |
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|
| 3734 |
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|
| 3735 |
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"raw": 0.004206715978529301,
|
| 3736 |
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"raw_text": "0.0042",
|
| 3737 |
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"normalized_score": 0.004206715978529301,
|
| 3738 |
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"metric_key": "next_subtask_forecast_macro_f1",
|
| 3739 |
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"source": "results/omni_finetune/xperience10m_qwen3_omni_v6_future_task_probes_a100_20260616T143608Z/next_subtask_forecast/metrics.json",
|
| 3740 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 3741 |
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"reason": null
|
| 3742 |
},
|
| 3743 |
{
|
| 3744 |
"task_number": 14,
|
|
|
|
| 4106 |
"task_label": "Future Object-Set Forecasting",
|
| 4107 |
"series_id": "qwen3_omni_v6_lora",
|
| 4108 |
"method": "Qwen3-Omni v6 LoRA",
|
| 4109 |
+
"status": "scored",
|
| 4110 |
+
"status_label": "scored",
|
| 4111 |
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"scored": true,
|
| 4112 |
"proxy_scored": false,
|
| 4113 |
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"raw": 0.1659483964851402,
|
| 4114 |
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"raw_text": "0.1659",
|
| 4115 |
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"normalized_score": 0.1659483964851402,
|
| 4116 |
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"metric_key": "object_set_forecast_micro_f1",
|
| 4117 |
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"source": "results/omni_finetune/xperience10m_qwen3_omni_v6_future_task_probes_a100_20260616T143608Z/object_set_forecast/metrics.json",
|
| 4118 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 4119 |
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"reason": null
|
| 4120 |
},
|
| 4121 |
{
|
| 4122 |
"task_number": 17,
|
docs/data/figure_index.json
CHANGED
|
@@ -1,7 +1,7 @@
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|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Figure Index",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"scope": "Public figures, diagrams, charts, and derived modality thumbnails. Raw Xperience-10M videos, annotations, RRD files, and Qwen weights are excluded.",
|
| 6 |
"figure_count": 26,
|
| 7 |
"figures": [
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|
@@ -359,8 +359,8 @@
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|
| 359 |
"source_script": "scripts/build_unified_task_model_radar.py",
|
| 360 |
"surface": "website unified task section, README, HF mirrors",
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| 361 |
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| 362 |
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| 363 |
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| 365 |
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| 366 |
"width": 2400,
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|
@@ -395,8 +395,8 @@
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|
| 395 |
"source_script": "scripts/build_unified_task_model_radar.py",
|
| 396 |
"surface": "website unified task section, README, HF mirrors",
|
| 397 |
"exists": true,
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| 398 |
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"bytes":
|
| 399 |
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|
| 400 |
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| 401 |
"format": "SVG",
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| 402 |
"width": 2400,
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|
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|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Figure Index",
|
| 3 |
"status": "pass",
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| 4 |
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"generated_at_utc": "2026-06-17T07:06:27+00:00",
|
| 5 |
"scope": "Public figures, diagrams, charts, and derived modality thumbnails. Raw Xperience-10M videos, annotations, RRD files, and Qwen weights are excluded.",
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| 6 |
"figure_count": 26,
|
| 7 |
"figures": [
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|
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|
| 359 |
"source_script": "scripts/build_unified_task_model_radar.py",
|
| 360 |
"surface": "website unified task section, README, HF mirrors",
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| 361 |
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| 362 |
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"bytes": 50060,
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| 363 |
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| 364 |
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| 365 |
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| 366 |
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| 395 |
"source_script": "scripts/build_unified_task_model_radar.py",
|
| 396 |
"surface": "website unified task section, README, HF mirrors",
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| 397 |
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| 398 |
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| 400 |
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| 401 |
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| 402 |
"width": 2400,
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docs/data/mirror_parity.json
CHANGED
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@@ -1,9 +1,9 @@
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|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
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"generated_at_utc": "2026-06-
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| 4 |
"hf_root": "hf_publish",
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| 5 |
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| 6 |
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"group_count":
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| 7 |
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| 8 |
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|
@@ -138,45 +138,45 @@
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|
| 138 |
"local": {
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| 139 |
"path": "repo:docs/data/artifact_index.json",
|
| 140 |
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| 141 |
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"bytes":
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|
| 143 |
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|
| 144 |
"mirrors": {
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| 145 |
"hf_space": {
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| 146 |
"path": "hf_space:data/artifact_index.json",
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| 147 |
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"hf_artifacts_data": {
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| 152 |
"path": "hf_artifacts:data/artifact_index.json",
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| 158 |
"path": "hf_artifacts:docs/data/artifact_index.json",
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"hf_model_data": {
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| 164 |
"path": "hf_model:data/artifact_index.json",
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| 165 |
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| 168 |
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| 170 |
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| 171 |
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| 175 |
"hf_model": {
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| 176 |
"path": "hf_model:metrics/artifact_index.json",
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| 177 |
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| 179 |
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| 181 |
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| 182 |
"failures": []
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@@ -335,44 +335,44 @@
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| 335 |
"path": "repo:docs/data/figure_index.json",
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| 336 |
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| 337 |
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| 339 |
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| 341 |
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| 342 |
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| 343 |
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| 346 |
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| 347 |
"hf_artifacts_data": {
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| 348 |
"path": "hf_artifacts:data/figure_index.json",
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| 351 |
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| 352 |
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| 353 |
"hf_artifacts": {
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| 354 |
"path": "hf_artifacts:docs/data/figure_index.json",
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| 355 |
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| 356 |
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| 357 |
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| 359 |
"hf_model_data": {
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| 360 |
"path": "hf_model:data/figure_index.json",
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| 361 |
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| 362 |
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| 363 |
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| 365 |
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| 366 |
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| 367 |
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"hf_model": {
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| 372 |
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| 373 |
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| 374 |
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|
| 375 |
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| 376 |
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| 377 |
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| 378 |
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|
@@ -824,45 +824,45 @@
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| 824 |
"local": {
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| 825 |
"path": "repo:docs/data/publication_audit.json",
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| 826 |
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| 827 |
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| 828 |
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|
| 829 |
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| 830 |
"mirrors": {
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| 831 |
"hf_space": {
|
| 832 |
"path": "hf_space:data/publication_audit.json",
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| 833 |
"exists": true,
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| 834 |
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| 836 |
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| 837 |
"hf_artifacts_data": {
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| 838 |
"path": "hf_artifacts:data/publication_audit.json",
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| 839 |
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| 841 |
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| 842 |
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"hf_artifacts": {
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| 844 |
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| 845 |
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| 846 |
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| 847 |
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|
| 848 |
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| 849 |
"hf_model_data": {
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| 850 |
"path": "hf_model:data/publication_audit.json",
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| 851 |
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| 852 |
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| 854 |
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| 855 |
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| 856 |
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| 857 |
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| 860 |
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| 861 |
"hf_model": {
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| 862 |
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| 867 |
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| 868 |
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@@ -874,44 +874,44 @@
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| 874 |
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| 875 |
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| 878 |
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| 888 |
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|
| 890 |
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| 891 |
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| 892 |
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| 893 |
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| 894 |
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| 896 |
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| 897 |
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| 898 |
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| 899 |
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| 900 |
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| 906 |
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| 910 |
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| 911 |
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| 912 |
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| 913 |
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|
| 914 |
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| 916 |
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| 917 |
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|
@@ -1021,44 +1021,44 @@
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| 1021 |
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| 1022 |
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|
| 1023 |
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|
| 1024 |
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| 1025 |
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| 1026 |
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| 1027 |
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| 1028 |
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| 1029 |
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| 1032 |
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| 1034 |
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| 1035 |
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| 1037 |
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| 1038 |
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| 1039 |
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| 1040 |
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| 18221 |
{
|
| 18222 |
"name": "results/single_episode_diagnostics/README.md",
|
| 18223 |
"status": "pass",
|
|
@@ -18906,27 +19464,27 @@
|
|
| 18906 |
"local": {
|
| 18907 |
"path": "repo:TASK_METHOD_20_GAP_AUDIT.md",
|
| 18908 |
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|
| 18909 |
-
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|
| 18910 |
-
"sha256": "
|
| 18911 |
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| 34 |
"exists": true,
|
| 35 |
"status": "pass",
|
| 36 |
-
"generated_at_utc": "2026-06-
|
| 37 |
},
|
| 38 |
"scale_up_status": {
|
| 39 |
"exists": true,
|
|
@@ -43,12 +43,12 @@
|
|
| 43 |
"publication_package": {
|
| 44 |
"exists": true,
|
| 45 |
"status": "pass",
|
| 46 |
-
"generated_at_utc": "2026-06-
|
| 47 |
},
|
| 48 |
"mirror_parity": {
|
| 49 |
"exists": true,
|
| 50 |
"status": "pass",
|
| 51 |
-
"generated_at_utc": "2026-06-
|
| 52 |
}
|
| 53 |
},
|
| 54 |
"failures": {}
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Public Project Surface",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-17T07:04:39+00:00",
|
| 5 |
"scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
|
| 6 |
"checks": [
|
| 7 |
{
|
|
|
|
| 18 |
"website_integrity": {
|
| 19 |
"exists": true,
|
| 20 |
"status": "pass",
|
| 21 |
+
"generated_at_utc": "2026-06-16T15:07:46+00:00"
|
| 22 |
},
|
| 23 |
"rendered_site_check": {
|
| 24 |
"exists": true,
|
|
|
|
| 28 |
"task_surface_integrity": {
|
| 29 |
"exists": true,
|
| 30 |
"status": "pass",
|
| 31 |
+
"generated_at_utc": "2026-06-16T15:07:45+00:00"
|
| 32 |
},
|
| 33 |
"source_alignment": {
|
| 34 |
"exists": true,
|
| 35 |
"status": "pass",
|
| 36 |
+
"generated_at_utc": "2026-06-16T15:04:21+00:00"
|
| 37 |
},
|
| 38 |
"scale_up_status": {
|
| 39 |
"exists": true,
|
|
|
|
| 43 |
"publication_package": {
|
| 44 |
"exists": true,
|
| 45 |
"status": "pass",
|
| 46 |
+
"generated_at_utc": "2026-06-16T15:07:58+00:00"
|
| 47 |
},
|
| 48 |
"mirror_parity": {
|
| 49 |
"exists": true,
|
| 50 |
"status": "pass",
|
| 51 |
+
"generated_at_utc": "2026-06-16T15:07:43+00:00"
|
| 52 |
}
|
| 53 |
},
|
| 54 |
"failures": {}
|
docs/data/publication_audit.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"checks": [
|
| 5 |
{
|
| 6 |
"name": "required_publication_assets_present",
|
|
@@ -211,8 +211,8 @@
|
|
| 211 |
"hf_space_bundle": {
|
| 212 |
"root": "hf_publish/space",
|
| 213 |
"exists": true,
|
| 214 |
-
"file_count":
|
| 215 |
-
"text_file_count":
|
| 216 |
"largest_file": {
|
| 217 |
"path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
|
| 218 |
"bytes": 55702978
|
|
@@ -222,8 +222,8 @@
|
|
| 222 |
"hf_artifact_bundle": {
|
| 223 |
"root": "hf_publish/artifacts",
|
| 224 |
"exists": true,
|
| 225 |
-
"file_count":
|
| 226 |
-
"text_file_count":
|
| 227 |
"largest_file": {
|
| 228 |
"path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
|
| 229 |
"bytes": 55702978
|
|
@@ -233,8 +233,8 @@
|
|
| 233 |
"hf_model_bundle": {
|
| 234 |
"root": "hf_publish/model",
|
| 235 |
"exists": true,
|
| 236 |
-
"file_count":
|
| 237 |
-
"text_file_count":
|
| 238 |
"largest_file": {
|
| 239 |
"path": "pytorch_model.bin",
|
| 240 |
"bytes": 93495480
|
|
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
+
"generated_at_utc": "2026-06-17T07:22:48+00:00",
|
| 4 |
"checks": [
|
| 5 |
{
|
| 6 |
"name": "required_publication_assets_present",
|
|
|
|
| 211 |
"hf_space_bundle": {
|
| 212 |
"root": "hf_publish/space",
|
| 213 |
"exists": true,
|
| 214 |
+
"file_count": 1003,
|
| 215 |
+
"text_file_count": 841,
|
| 216 |
"largest_file": {
|
| 217 |
"path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
|
| 218 |
"bytes": 55702978
|
|
|
|
| 222 |
"hf_artifact_bundle": {
|
| 223 |
"root": "hf_publish/artifacts",
|
| 224 |
"exists": true,
|
| 225 |
+
"file_count": 2366,
|
| 226 |
+
"text_file_count": 1033,
|
| 227 |
"largest_file": {
|
| 228 |
"path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
|
| 229 |
"bytes": 55702978
|
|
|
|
| 233 |
"hf_model_bundle": {
|
| 234 |
"root": "hf_publish/model",
|
| 235 |
"exists": true,
|
| 236 |
+
"file_count": 2799,
|
| 237 |
+
"text_file_count": 1193,
|
| 238 |
"largest_file": {
|
| 239 |
"path": "pytorch_model.bin",
|
| 240 |
"bytes": 93495480
|
docs/data/quality_gates.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Release Checks",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
|
| 6 |
"automated_gates": [
|
| 7 |
{
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Release Checks",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-17T07:04:39+00:00",
|
| 5 |
"rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
|
| 6 |
"automated_gates": [
|
| 7 |
{
|
docs/data/single_episode_task_model_radar.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Single-Episode 20-Task Radar",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 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,
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Single-Episode 20-Task Radar",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-17T07:04:16+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": "2026-06-17T07:22:34+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-
|
| 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",
|
|
@@ -101,11 +101,11 @@
|
|
| 101 |
"proxy_scored_task_count": 0,
|
| 102 |
"result_record_count": 20,
|
| 103 |
"scope": "128 selected episodes, held-out test",
|
| 104 |
-
"scored_task_count":
|
| 105 |
-
"scoreless_task_count":
|
| 106 |
"status_counts": {
|
| 107 |
-
"not_evaluated_in_verified_package":
|
| 108 |
-
"scored":
|
| 109 |
}
|
| 110 |
},
|
| 111 |
"raw128_neural_mlp": {
|
|
@@ -140,10 +140,10 @@
|
|
| 140 |
"cosmos3_super_reasoner": 13,
|
| 141 |
"metadata128_neural_mlp": 14,
|
| 142 |
"metadata128_simple": 12,
|
| 143 |
-
"qwen3_omni_v6_lora":
|
| 144 |
},
|
| 145 |
"missing_by_status": {
|
| 146 |
-
"not_evaluated_in_verified_package":
|
| 147 |
"not_supported_by_metadata_only_package": 22,
|
| 148 |
"unsupported_without_required_target": 4
|
| 149 |
},
|
|
@@ -197,15 +197,13 @@
|
|
| 197 |
"cosmos3_nano_future_window",
|
| 198 |
"cosmos3_super_reasoner",
|
| 199 |
"metadata128_neural_mlp",
|
| 200 |
-
"metadata128_simple"
|
| 201 |
-
"qwen3_omni_v6_lora"
|
| 202 |
],
|
| 203 |
"14 Long-Horizon Next-Subtask Forecasting": [
|
| 204 |
"cosmos3_nano_future_window",
|
| 205 |
"cosmos3_super_reasoner",
|
| 206 |
"metadata128_neural_mlp",
|
| 207 |
-
"metadata128_simple"
|
| 208 |
-
"qwen3_omni_v6_lora"
|
| 209 |
],
|
| 210 |
"15 Interaction Text Prediction": [
|
| 211 |
"cosmos3_nano_future_window",
|
|
@@ -223,8 +221,7 @@
|
|
| 223 |
"cosmos3_nano_future_window",
|
| 224 |
"cosmos3_super_reasoner",
|
| 225 |
"metadata128_neural_mlp",
|
| 226 |
-
"metadata128_simple"
|
| 227 |
-
"qwen3_omni_v6_lora"
|
| 228 |
],
|
| 229 |
"18 IMU-to-Hand Pose Reconstruction": [
|
| 230 |
"cosmos3_nano_future_window",
|
|
@@ -652,19 +649,6 @@
|
|
| 652 |
"task_label": "Long-Horizon Next-Action Forecasting",
|
| 653 |
"task_number": 13
|
| 654 |
},
|
| 655 |
-
{
|
| 656 |
-
"method": "Qwen3-Omni v6 LoRA",
|
| 657 |
-
"metric_key": "macro_f1",
|
| 658 |
-
"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",
|
| 659 |
-
"recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
|
| 660 |
-
"scope": "multi_episode_128_partial_model_overlay",
|
| 661 |
-
"series_id": "qwen3_omni_v6_lora",
|
| 662 |
-
"status": "not_evaluated_in_verified_package",
|
| 663 |
-
"status_label": "not evaluated",
|
| 664 |
-
"task_id": "long_horizon_next_action",
|
| 665 |
-
"task_label": "Long-Horizon Next-Action Forecasting",
|
| 666 |
-
"task_number": 13
|
| 667 |
-
},
|
| 668 |
{
|
| 669 |
"method": "Cosmos3-Super Reasoner",
|
| 670 |
"metric_key": "macro_f1",
|
|
@@ -717,19 +701,6 @@
|
|
| 717 |
"task_label": "Long-Horizon Next-Subtask Forecasting",
|
| 718 |
"task_number": 14
|
| 719 |
},
|
| 720 |
-
{
|
| 721 |
-
"method": "Qwen3-Omni v6 LoRA",
|
| 722 |
-
"metric_key": "macro_f1",
|
| 723 |
-
"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",
|
| 724 |
-
"recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
|
| 725 |
-
"scope": "multi_episode_128_partial_model_overlay",
|
| 726 |
-
"series_id": "qwen3_omni_v6_lora",
|
| 727 |
-
"status": "not_evaluated_in_verified_package",
|
| 728 |
-
"status_label": "not evaluated",
|
| 729 |
-
"task_id": "next_subtask_forecast",
|
| 730 |
-
"task_label": "Long-Horizon Next-Subtask Forecasting",
|
| 731 |
-
"task_number": 14
|
| 732 |
-
},
|
| 733 |
{
|
| 734 |
"method": "Cosmos3-Super Reasoner",
|
| 735 |
"metric_key": "macro_f1",
|
|
@@ -886,19 +857,6 @@
|
|
| 886 |
"task_label": "Future Object-Set Forecasting",
|
| 887 |
"task_number": 17
|
| 888 |
},
|
| 889 |
-
{
|
| 890 |
-
"method": "Qwen3-Omni v6 LoRA",
|
| 891 |
-
"metric_key": "micro_f1",
|
| 892 |
-
"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",
|
| 893 |
-
"recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
|
| 894 |
-
"scope": "multi_episode_128_partial_model_overlay",
|
| 895 |
-
"series_id": "qwen3_omni_v6_lora",
|
| 896 |
-
"status": "not_evaluated_in_verified_package",
|
| 897 |
-
"status_label": "not evaluated",
|
| 898 |
-
"task_id": "object_set_forecast",
|
| 899 |
-
"task_label": "Future Object-Set Forecasting",
|
| 900 |
-
"task_number": 17
|
| 901 |
-
},
|
| 902 |
{
|
| 903 |
"method": "Cosmos3-Super Reasoner",
|
| 904 |
"metric_key": "micro_f1",
|
|
@@ -1167,8 +1125,8 @@
|
|
| 1167 |
"method_count": 9,
|
| 1168 |
"method_task_record_count": 180,
|
| 1169 |
"proxy_scored_method_task_count": 4,
|
| 1170 |
-
"scored_method_task_count":
|
| 1171 |
-
"scoreless_method_task_count":
|
| 1172 |
"task_count": 20
|
| 1173 |
},
|
| 1174 |
"source_matrix": "docs/data/task_method_20_result_matrix.json",
|
|
|
|
| 1 |
{
|
| 2 |
+
"generated_at_utc": "2026-06-17T07:04:39+00:00",
|
| 3 |
"immediate_actions": [
|
| 4 |
{
|
| 5 |
"artifact": "docs/data/task_method_20_gap_audit.json",
|
| 6 |
"id": "gap_audit",
|
| 7 |
+
"purpose": "Keep the 64 scoreless cells visible and reproducible."
|
| 8 |
},
|
| 9 |
{
|
| 10 |
"artifact": "scripts/omni/score_model_output_probes.py",
|
|
|
|
| 101 |
"proxy_scored_task_count": 0,
|
| 102 |
"result_record_count": 20,
|
| 103 |
"scope": "128 selected episodes, held-out test",
|
| 104 |
+
"scored_task_count": 10,
|
| 105 |
+
"scoreless_task_count": 10,
|
| 106 |
"status_counts": {
|
| 107 |
+
"not_evaluated_in_verified_package": 10,
|
| 108 |
+
"scored": 10
|
| 109 |
}
|
| 110 |
},
|
| 111 |
"raw128_neural_mlp": {
|
|
|
|
| 140 |
"cosmos3_super_reasoner": 13,
|
| 141 |
"metadata128_neural_mlp": 14,
|
| 142 |
"metadata128_simple": 12,
|
| 143 |
+
"qwen3_omni_v6_lora": 10
|
| 144 |
},
|
| 145 |
"missing_by_status": {
|
| 146 |
+
"not_evaluated_in_verified_package": 38,
|
| 147 |
"not_supported_by_metadata_only_package": 22,
|
| 148 |
"unsupported_without_required_target": 4
|
| 149 |
},
|
|
|
|
| 197 |
"cosmos3_nano_future_window",
|
| 198 |
"cosmos3_super_reasoner",
|
| 199 |
"metadata128_neural_mlp",
|
| 200 |
+
"metadata128_simple"
|
|
|
|
| 201 |
],
|
| 202 |
"14 Long-Horizon Next-Subtask Forecasting": [
|
| 203 |
"cosmos3_nano_future_window",
|
| 204 |
"cosmos3_super_reasoner",
|
| 205 |
"metadata128_neural_mlp",
|
| 206 |
+
"metadata128_simple"
|
|
|
|
| 207 |
],
|
| 208 |
"15 Interaction Text Prediction": [
|
| 209 |
"cosmos3_nano_future_window",
|
|
|
|
| 221 |
"cosmos3_nano_future_window",
|
| 222 |
"cosmos3_super_reasoner",
|
| 223 |
"metadata128_neural_mlp",
|
| 224 |
+
"metadata128_simple"
|
|
|
|
| 225 |
],
|
| 226 |
"18 IMU-to-Hand Pose Reconstruction": [
|
| 227 |
"cosmos3_nano_future_window",
|
|
|
|
| 649 |
"task_label": "Long-Horizon Next-Action Forecasting",
|
| 650 |
"task_number": 13
|
| 651 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 652 |
{
|
| 653 |
"method": "Cosmos3-Super Reasoner",
|
| 654 |
"metric_key": "macro_f1",
|
|
|
|
| 701 |
"task_label": "Long-Horizon Next-Subtask Forecasting",
|
| 702 |
"task_number": 14
|
| 703 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 704 |
{
|
| 705 |
"method": "Cosmos3-Super Reasoner",
|
| 706 |
"metric_key": "macro_f1",
|
|
|
|
| 857 |
"task_label": "Future Object-Set Forecasting",
|
| 858 |
"task_number": 17
|
| 859 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 860 |
{
|
| 861 |
"method": "Cosmos3-Super Reasoner",
|
| 862 |
"metric_key": "micro_f1",
|
|
|
|
| 1125 |
"method_count": 9,
|
| 1126 |
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| 1127 |
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| 1128 |
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|
| 1130 |
"task_count": 20
|
| 1131 |
},
|
| 1132 |
"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-
|
| 5 |
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| 6 |
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| 7 |
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|
| 8 |
-
"scored_method_task_count":
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| 9 |
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|
| 10 |
{
|
| 11 |
"id": "minimal",
|
|
@@ -161,17 +161,17 @@
|
|
| 161 |
"method_detail": "Verified held-out Qwen3-Omni v6 LoRA metrics, plus task 16 and any completed private-GPU future-task probes scored from task-specific JSON.",
|
| 162 |
"plotted_as": "colored point overlay",
|
| 163 |
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|
| 164 |
-
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| 165 |
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| 166 |
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| 168 |
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| 169 |
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| 170 |
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| 171 |
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| 172 |
-
"scored":
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| 173 |
},
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| 174 |
-
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|
| 175 |
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|
| 176 |
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|
| 177 |
{
|
|
@@ -2282,17 +2282,17 @@
|
|
| 2282 |
"task_label": "Long-Horizon Next-Action Forecasting",
|
| 2283 |
"series_id": "qwen3_omni_v6_lora",
|
| 2284 |
"method": "Qwen3-Omni v6 LoRA",
|
| 2285 |
-
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| 2286 |
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| 2287 |
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| 2289 |
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-
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-
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| 2293 |
-
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| 2294 |
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|
| 2295 |
-
"reason":
|
| 2296 |
},
|
| 2297 |
{
|
| 2298 |
"task_number": 13,
|
|
@@ -2444,17 +2444,17 @@
|
|
| 2444 |
"task_label": "Long-Horizon Next-Subtask Forecasting",
|
| 2445 |
"series_id": "qwen3_omni_v6_lora",
|
| 2446 |
"method": "Qwen3-Omni v6 LoRA",
|
| 2447 |
-
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|
| 2448 |
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|
| 2449 |
-
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| 2450 |
"proxy_scored": false,
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| 2451 |
-
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| 2453 |
-
"normalized_score":
|
| 2454 |
-
"metric_key": "
|
| 2455 |
-
"source":
|
| 2456 |
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|
| 2457 |
-
"reason":
|
| 2458 |
},
|
| 2459 |
{
|
| 2460 |
"task_number": 14,
|
|
@@ -2930,17 +2930,17 @@
|
|
| 2930 |
"task_label": "Future Object-Set Forecasting",
|
| 2931 |
"series_id": "qwen3_omni_v6_lora",
|
| 2932 |
"method": "Qwen3-Omni v6 LoRA",
|
| 2933 |
-
"status": "
|
| 2934 |
-
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|
| 2935 |
-
"scored":
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| 2936 |
"proxy_scored": false,
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| 2937 |
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| 2938 |
-
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| 2939 |
-
"normalized_score":
|
| 2940 |
-
"metric_key": "
|
| 2941 |
-
"source":
|
| 2942 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 2943 |
-
"reason":
|
| 2944 |
},
|
| 2945 |
{
|
| 2946 |
"task_number": 17,
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Task Method 20-Result Matrix",
|
| 3 |
"status": "pass",
|
| 4 |
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"generated_at_utc": "2026-06-17T07:04:16+00:00",
|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
"series": [
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| 10 |
{
|
| 11 |
"id": "minimal",
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|
|
|
| 161 |
"method_detail": "Verified held-out Qwen3-Omni v6 LoRA metrics, plus task 16 and any completed private-GPU future-task probes scored from task-specific JSON.",
|
| 162 |
"plotted_as": "colored point overlay",
|
| 163 |
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| 164 |
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| 165 |
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| 166 |
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| 167 |
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|
| 168 |
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|
| 169 |
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"not_evaluated_task_count": 10,
|
| 170 |
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|
| 171 |
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"not_evaluated_in_verified_package": 10,
|
| 172 |
+
"scored": 10
|
| 173 |
},
|
| 174 |
+
"coverage_fraction": 0.5,
|
| 175 |
"result_record_fraction": 1.0
|
| 176 |
},
|
| 177 |
{
|
|
|
|
| 2282 |
"task_label": "Long-Horizon Next-Action Forecasting",
|
| 2283 |
"series_id": "qwen3_omni_v6_lora",
|
| 2284 |
"method": "Qwen3-Omni v6 LoRA",
|
| 2285 |
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"status": "scored",
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| 2286 |
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|
| 2287 |
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"scored": true,
|
| 2288 |
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|
| 2289 |
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"raw": 0.0023356666867101906,
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| 2290 |
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"normalized_score": 0.0023356666867101906,
|
| 2292 |
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"metric_key": "long_horizon_next_action_macro_f1",
|
| 2293 |
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"source": "results/omni_finetune/xperience10m_qwen3_omni_v6_future_task_probes_a100_20260616T143608Z/long_horizon_next_action/metrics.json",
|
| 2294 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 2295 |
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"reason": null
|
| 2296 |
},
|
| 2297 |
{
|
| 2298 |
"task_number": 13,
|
|
|
|
| 2444 |
"task_label": "Long-Horizon Next-Subtask Forecasting",
|
| 2445 |
"series_id": "qwen3_omni_v6_lora",
|
| 2446 |
"method": "Qwen3-Omni v6 LoRA",
|
| 2447 |
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| 2448 |
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| 2449 |
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| 2450 |
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| 2451 |
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| 2452 |
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"raw_text": "0.0042",
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| 2454 |
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"metric_key": "next_subtask_forecast_macro_f1",
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| 2455 |
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"source": "results/omni_finetune/xperience10m_qwen3_omni_v6_future_task_probes_a100_20260616T143608Z/next_subtask_forecast/metrics.json",
|
| 2456 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 2457 |
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"reason": null
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| 2458 |
},
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| 2459 |
{
|
| 2460 |
"task_number": 14,
|
|
|
|
| 2930 |
"task_label": "Future Object-Set Forecasting",
|
| 2931 |
"series_id": "qwen3_omni_v6_lora",
|
| 2932 |
"method": "Qwen3-Omni v6 LoRA",
|
| 2933 |
+
"status": "scored",
|
| 2934 |
+
"status_label": "scored",
|
| 2935 |
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"scored": true,
|
| 2936 |
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| 2937 |
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| 2938 |
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| 2939 |
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|
| 2940 |
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"metric_key": "object_set_forecast_micro_f1",
|
| 2941 |
+
"source": "results/omni_finetune/xperience10m_qwen3_omni_v6_future_task_probes_a100_20260616T143608Z/object_set_forecast/metrics.json",
|
| 2942 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 2943 |
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|
| 2944 |
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|
| 2945 |
{
|
| 2946 |
"task_number": 17,
|
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": "2026-06-17T07:22:34+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-
|
| 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",
|
|
@@ -170,17 +170,17 @@
|
|
| 170 |
"method_detail": "Verified held-out Qwen3-Omni v6 LoRA metrics, plus task 16 and any completed private-GPU future-task probes scored from task-specific JSON.",
|
| 171 |
"plotted_as": "colored point overlay",
|
| 172 |
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|
| 173 |
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"scored_task_count":
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| 174 |
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"covered_task_count":
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| 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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"not_evaluated_in_verified_package":
|
| 181 |
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"scored":
|
| 182 |
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| 183 |
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"coverage_fraction": 0.
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| 184 |
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| 185 |
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| 186 |
{
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|
@@ -1597,6 +1597,17 @@
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|
| 1597 |
"raw_text": "0.0655",
|
| 1598 |
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| 1599 |
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|
|
|
|
|
|
|
|
|
| 1600 |
"raw128_simple": {
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| 1601 |
"raw": 0.0024280172369056294,
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| 1602 |
"metric_key": "macro_f1",
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|
@@ -1641,17 +1652,6 @@
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|
| 1641 |
"raw_text": "n/a",
|
| 1642 |
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| 1643 |
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| 1644 |
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| 1645 |
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| 1646 |
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| 1647 |
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| 1648 |
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| 1649 |
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"status": "not_evaluated_in_verified_package",
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| 1650 |
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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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| 1651 |
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| 1655 |
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|
@@ -1708,6 +1708,17 @@
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| 1708 |
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| 1709 |
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| 1710 |
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| 1711 |
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| 1713 |
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@@ -1752,17 +1763,6 @@
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| 1752 |
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| 1753 |
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| 1758 |
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| 1761 |
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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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| 1766 |
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| 1767 |
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| 1768 |
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|
@@ -2041,6 +2041,17 @@
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| 2041 |
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| 2042 |
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| 2043 |
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| 2044 |
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| 2045 |
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| 2046 |
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|
@@ -2085,17 +2096,6 @@
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| 2085 |
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| 2086 |
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| 2087 |
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| 2088 |
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| 2089 |
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|
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| 2091 |
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| 2093 |
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"status": "not_evaluated_in_verified_package",
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| 2094 |
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| 2099 |
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| 2100 |
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| 2101 |
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|
@@ -2492,7 +2492,7 @@
|
|
| 2492 |
"title": "Qwen3-Omni v6 LoRA",
|
| 2493 |
"status": "verified",
|
| 2494 |
"task_aligned_axes": "Qwen3",
|
| 2495 |
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"coverage": "20 records /
|
| 2496 |
"headline": "JSON validity 0.9990; action macro-F1 0.0029",
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| 2497 |
"source": "results/omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full/eval/metrics.json"
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| 2498 |
},
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|
@@ -4580,17 +4580,17 @@
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|
| 4580 |
"task_label": "Long-Horizon Next-Action Forecasting",
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| 4581 |
"series_id": "qwen3_omni_v6_lora",
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"reason":
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| 4594 |
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| 4595 |
{
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| 4596 |
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|
@@ -4742,17 +4742,17 @@
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| 4742 |
"task_label": "Long-Horizon Next-Subtask Forecasting",
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"series_id": "qwen3_omni_v6_lora",
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@@ -5228,17 +5228,17 @@
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| 5228 |
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| 5243 |
{
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| 5244 |
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| 1 |
{
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| 2 |
"title": "Unified 20-Task Model Radar",
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| 3 |
"status": "pass",
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"generated_at_utc": "2026-06-17T07:04:16+00:00",
|
| 5 |
"task_count": 20,
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docs/data/website_integrity.json
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@@ -346,7 +346,7 @@
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results/omni_finetune/xperience10m_qwen3_omni_v6_future_task_probes_a100_20260616T143608Z/next_subtask_forecast/predictions.jsonl
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results/omni_finetune/xperience10m_qwen3_omni_v6_future_task_probes_a100_20260616T143608Z/object_set_forecast/predictions.csv
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results/omni_finetune/xperience10m_qwen3_omni_v6_future_task_probes_a100_20260616T143608Z/object_set_forecast/predictions.jsonl
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results/omni_finetune/xperience10m_qwen3_omni_v6_future_task_probes_a100_20260616T143608Z/summary.json
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+
"primary_score": 0.1659483964851402,
|
| 30 |
+
"task_label": "Future Object-Set Forecasting",
|
| 31 |
+
"task_number": 17
|
| 32 |
+
}
|
| 33 |
+
},
|
| 34 |
+
"title": "Qwen3-Omni v6 Future Task Probes"
|
| 35 |
+
}
|
scripts/build_artifact_index.py
CHANGED
|
@@ -15,6 +15,7 @@ from pathlib import Path
|
|
| 15 |
|
| 16 |
ROOT = Path(__file__).resolve().parents[1]
|
| 17 |
OUTPUT = ROOT / "docs/data/artifact_index.json"
|
|
|
|
| 18 |
|
| 19 |
ARTIFACTS = [
|
| 20 |
{
|
|
@@ -1177,6 +1178,65 @@ def verified_public_package_artifacts() -> list[dict]:
|
|
| 1177 |
return artifacts
|
| 1178 |
|
| 1179 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1180 |
def artifact_entry(item: dict) -> dict:
|
| 1181 |
path = ROOT / item["path"]
|
| 1182 |
entry = {
|
|
@@ -1199,6 +1259,7 @@ def artifact_entry(item: dict) -> dict:
|
|
| 1199 |
def main() -> int:
|
| 1200 |
artifacts = [dict(item) for item in ARTIFACTS]
|
| 1201 |
artifacts.extend(verified_public_package_artifacts())
|
|
|
|
| 1202 |
summary_path = ROOT / "results/episode_task_suite/summary_report.json"
|
| 1203 |
if summary_path.exists():
|
| 1204 |
summary = json.loads(summary_path.read_text(encoding="utf-8"))
|
|
|
|
| 15 |
|
| 16 |
ROOT = Path(__file__).resolve().parents[1]
|
| 17 |
OUTPUT = ROOT / "docs/data/artifact_index.json"
|
| 18 |
+
QWEN3_FUTURE_TASK_PROBE_RUN_ID = "xperience10m_qwen3_omni_v6_future_task_probes_a100_20260616T143608Z"
|
| 19 |
|
| 20 |
ARTIFACTS = [
|
| 21 |
{
|
|
|
|
| 1178 |
return artifacts
|
| 1179 |
|
| 1180 |
|
| 1181 |
+
def qwen3_future_task_probe_artifacts() -> list[dict]:
|
| 1182 |
+
run_dir = ROOT / "results/omni_finetune" / QWEN3_FUTURE_TASK_PROBE_RUN_ID
|
| 1183 |
+
if not run_dir.exists():
|
| 1184 |
+
return []
|
| 1185 |
+
|
| 1186 |
+
artifacts: list[dict] = [
|
| 1187 |
+
{
|
| 1188 |
+
"id": "qwen3_future_task_probe_package",
|
| 1189 |
+
"title": "Qwen3 v6 future-task probe package",
|
| 1190 |
+
"path": run_dir.relative_to(ROOT).as_posix(),
|
| 1191 |
+
"kind": "model_result",
|
| 1192 |
+
"surface": "repo_hf",
|
| 1193 |
+
"shows": (
|
| 1194 |
+
"Two-shard Qwen3-Omni v6 inference probe for tasks 13, 14, "
|
| 1195 |
+
"and 17, with public-safe metrics, predictions, progress logs, "
|
| 1196 |
+
"and merge report."
|
| 1197 |
+
),
|
| 1198 |
+
}
|
| 1199 |
+
]
|
| 1200 |
+
for relative_path, kind, label in [
|
| 1201 |
+
("summary.json", "metrics_source", "merged summary"),
|
| 1202 |
+
("collection_validation.json", "publication_audit", "collection validation"),
|
| 1203 |
+
("RUN_REPORT.md", "scaleup_status", "run report"),
|
| 1204 |
+
("long_horizon_next_action/metrics.json", "metrics_source", "task 13 metrics"),
|
| 1205 |
+
("next_subtask_forecast/metrics.json", "metrics_source", "task 14 metrics"),
|
| 1206 |
+
("object_set_forecast/metrics.json", "metrics_source", "task 17 metrics"),
|
| 1207 |
+
]:
|
| 1208 |
+
path = run_dir / relative_path
|
| 1209 |
+
if path.exists():
|
| 1210 |
+
artifacts.append(
|
| 1211 |
+
{
|
| 1212 |
+
"id": f"qwen3_future_task_probe_{relative_path.replace('/', '_').replace('.', '_')}",
|
| 1213 |
+
"title": f"Qwen3 future-task probe {label}",
|
| 1214 |
+
"path": path.relative_to(ROOT).as_posix(),
|
| 1215 |
+
"kind": kind,
|
| 1216 |
+
"surface": "repo_hf",
|
| 1217 |
+
"shows": f"Public-safe {label} for {QWEN3_FUTURE_TASK_PROBE_RUN_ID}.",
|
| 1218 |
+
}
|
| 1219 |
+
)
|
| 1220 |
+
|
| 1221 |
+
launcher_log = (
|
| 1222 |
+
ROOT
|
| 1223 |
+
/ "results/omni_finetune/deferred_launchers"
|
| 1224 |
+
/ f"{QWEN3_FUTURE_TASK_PROBE_RUN_ID}.launcher.log"
|
| 1225 |
+
)
|
| 1226 |
+
if launcher_log.exists():
|
| 1227 |
+
artifacts.append(
|
| 1228 |
+
{
|
| 1229 |
+
"id": "qwen3_future_task_probe_launcher_log",
|
| 1230 |
+
"title": "Qwen3 future-task probe launcher log",
|
| 1231 |
+
"path": launcher_log.relative_to(ROOT).as_posix(),
|
| 1232 |
+
"kind": "scaleup_status",
|
| 1233 |
+
"surface": "repo_hf",
|
| 1234 |
+
"shows": "Launch and merge log for the two-shard future-task probe.",
|
| 1235 |
+
}
|
| 1236 |
+
)
|
| 1237 |
+
return artifacts
|
| 1238 |
+
|
| 1239 |
+
|
| 1240 |
def artifact_entry(item: dict) -> dict:
|
| 1241 |
path = ROOT / item["path"]
|
| 1242 |
entry = {
|
|
|
|
| 1259 |
def main() -> int:
|
| 1260 |
artifacts = [dict(item) for item in ARTIFACTS]
|
| 1261 |
artifacts.extend(verified_public_package_artifacts())
|
| 1262 |
+
artifacts.extend(qwen3_future_task_probe_artifacts())
|
| 1263 |
summary_path = ROOT / "results/episode_task_suite/summary_report.json"
|
| 1264 |
if summary_path.exists():
|
| 1265 |
summary = json.loads(summary_path.read_text(encoding="utf-8"))
|
scripts/sync_hf_publish_mirrors.py
CHANGED
|
@@ -388,6 +388,7 @@ def main() -> int:
|
|
| 388 |
| set(parity.a100_128_metadata_result_files())
|
| 389 |
| set(parity.a100_128_raw20_result_files())
|
| 390 |
| set(parity.model_output_task_probe_result_files())
|
|
|
|
| 391 |
)
|
| 392 |
for filename in result_files:
|
| 393 |
src = ROOT / "results" / filename
|
|
|
|
| 388 |
| set(parity.a100_128_metadata_result_files())
|
| 389 |
| set(parity.a100_128_raw20_result_files())
|
| 390 |
| set(parity.model_output_task_probe_result_files())
|
| 391 |
+
| set(parity.qwen3_future_task_probe_result_files())
|
| 392 |
)
|
| 393 |
for filename in result_files:
|
| 394 |
src = ROOT / "results" / filename
|
scripts/validate_mirror_parity.py
CHANGED
|
@@ -18,6 +18,7 @@ from pathlib import Path
|
|
| 18 |
ROOT = Path(__file__).resolve().parents[1]
|
| 19 |
DEFAULT_HF_ROOT = ROOT.parent / "hf_publish"
|
| 20 |
DEFAULT_OUTPUT = ROOT / "docs/data/mirror_parity.json"
|
|
|
|
| 21 |
|
| 22 |
DATA_FILES = [
|
| 23 |
"additional_development_directions.json",
|
|
@@ -374,6 +375,26 @@ def model_output_task_probe_result_files() -> list[str]:
|
|
| 374 |
return sorted(files)
|
| 375 |
|
| 376 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 377 |
def parity_group(name: str, local_path: Path, mirrors: dict[str, Path], hf_root: Path) -> dict:
|
| 378 |
local = file_record(local_path, hf_root)
|
| 379 |
mirror_records = {surface: file_record(path, hf_root) for surface, path in mirrors.items()}
|
|
@@ -474,6 +495,7 @@ def build_report(hf_root: Path) -> dict:
|
|
| 474 |
| set(a100_128_metadata_result_files())
|
| 475 |
| set(a100_128_raw20_result_files())
|
| 476 |
| set(model_output_task_probe_result_files())
|
|
|
|
| 477 |
)
|
| 478 |
for filename in result_files:
|
| 479 |
groups.append(
|
|
|
|
| 18 |
ROOT = Path(__file__).resolve().parents[1]
|
| 19 |
DEFAULT_HF_ROOT = ROOT.parent / "hf_publish"
|
| 20 |
DEFAULT_OUTPUT = ROOT / "docs/data/mirror_parity.json"
|
| 21 |
+
QWEN3_FUTURE_TASK_PROBE_RUN_ID = "xperience10m_qwen3_omni_v6_future_task_probes_a100_20260616T143608Z"
|
| 22 |
|
| 23 |
DATA_FILES = [
|
| 24 |
"additional_development_directions.json",
|
|
|
|
| 375 |
return sorted(files)
|
| 376 |
|
| 377 |
|
| 378 |
+
def qwen3_future_task_probe_result_files() -> list[str]:
|
| 379 |
+
"""Return public-safe Qwen3 future-task probe outputs from the shard run."""
|
| 380 |
+
|
| 381 |
+
result_root = ROOT / "results/omni_finetune" / QWEN3_FUTURE_TASK_PROBE_RUN_ID
|
| 382 |
+
files: list[str] = []
|
| 383 |
+
if result_root.exists():
|
| 384 |
+
for path in result_root.rglob("*"):
|
| 385 |
+
if path.is_file():
|
| 386 |
+
files.append(path.relative_to(ROOT / "results").as_posix())
|
| 387 |
+
|
| 388 |
+
launcher_log = (
|
| 389 |
+
ROOT
|
| 390 |
+
/ "results/omni_finetune/deferred_launchers"
|
| 391 |
+
/ f"{QWEN3_FUTURE_TASK_PROBE_RUN_ID}.launcher.log"
|
| 392 |
+
)
|
| 393 |
+
if launcher_log.is_file():
|
| 394 |
+
files.append(launcher_log.relative_to(ROOT / "results").as_posix())
|
| 395 |
+
return sorted(files)
|
| 396 |
+
|
| 397 |
+
|
| 398 |
def parity_group(name: str, local_path: Path, mirrors: dict[str, Path], hf_root: Path) -> dict:
|
| 399 |
local = file_record(local_path, hf_root)
|
| 400 |
mirror_records = {surface: file_record(path, hf_root) for surface, path in mirrors.items()}
|
|
|
|
| 495 |
| set(a100_128_metadata_result_files())
|
| 496 |
| set(a100_128_raw20_result_files())
|
| 497 |
| set(model_output_task_probe_result_files())
|
| 498 |
+
| set(qwen3_future_task_probe_result_files())
|
| 499 |
)
|
| 500 |
for filename in result_files:
|
| 501 |
groups.append(
|