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Browse files- TASK_METHOD_20_GAP_AUDIT.md +5 -10
- TASK_METHOD_20_RESULT_MATRIX.md +6 -6
- assets/charts/episode128_task_model_radar.svg +9 -4
- assets/charts/unified_task_model_radar.svg +8 -3
- data/publication_audit.json +12 -5
- docs/assets/charts/episode128_task_model_radar.svg +9 -4
- docs/assets/charts/unified_task_model_radar.svg +8 -3
- docs/data/artifact_index.json +27 -27
- docs/data/episode128_task_model_radar.json +95 -95
- docs/data/mirror_parity.json +0 -0
- docs/data/public_surface_qa.json +7 -7
- docs/data/publication_audit.json +12 -5
- docs/data/quality_gates.json +1 -1
- docs/data/scope_claims_audit.json +4 -4
- 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 +12 -86
- docs/data/task_method_20_result_matrix.json +55 -55
- docs/data/task_surface_integrity.json +1 -1
- docs/data/unified_task_model_radar.json +111 -111
- docs/data/website_integrity.json +8 -8
- results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/RUN_REPORT.md +12 -0
- results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/camera_view_sync_retrieval/metrics.json +30 -0
- results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/camera_view_sync_retrieval/predictions.csv +0 -0
- results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/collection_validation.json +44 -0
- results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/cross_modal_retrieval/metrics.json +30 -0
- results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/cross_modal_retrieval/predictions.csv +0 -0
- results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/cross_modal_retrieval/predictions.jsonl +0 -0
- results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/hand_trajectory_forecast/metrics.json +30 -0
- results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/hand_trajectory_forecast/predictions.csv +0 -0
- results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/imu_to_hand_pose/metrics.json +30 -0
- results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/imu_to_hand_pose/predictions.csv +0 -0
- results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/modality_reconstruction/metrics.json +30 -0
- results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/modality_reconstruction/predictions.csv +0 -0
- results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/summary.json +53 -0
- results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620_shard0.progress.jsonl +0 -0
- results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620_shard1.progress.jsonl +0 -0
- results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620_shard2.progress.jsonl +0 -0
- results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620_shard3.progress.jsonl +0 -0
- scripts/build_unified_task_model_radar.py +27 -2
- scripts/sync_hf_publish_mirrors.py +4 -0
- scripts/validate_mirror_parity.py +55 -0
- scripts/validate_publication_package.py +7 -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 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 | 20/20 | 0 | 0 | scored: 20 |
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| Cosmos3-Super Reasoner | cosmos3_super_reasoner |
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| Cosmos3-Nano Future Window | cosmos3_nano_future_window | 11/20 | 9 | 0 | not_evaluated_in_verified_package: 9, scored: 11 |
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## Gap Classes
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| Status | Count | Next step |
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| --- | --- | --- |
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| not_evaluated_in_verified_package |
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| not_supported_by_metadata_only_package | 1 | 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 | 1 | Export the missing target field for this 128-episode method, then rerun the same train/validation/test split. |
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| Task | Task label | Method | Status | Required evidence |
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| --- | --- | --- | --- | --- |
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| 02 | Procedure Step Recognition | 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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| 05 | Hand Trajectory 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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| 05 | Hand Trajectory 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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| 07 | Object Relevance 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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| 08 | Language Grounding | 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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| 09 | Cross-Modal Retrieval | 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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| 10 | Cross-Modal Reconstruction | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 11 | Temporal Order Verification | 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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| 11 | Temporal Order Verification | 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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| 12 | Multimodal Synchronization Detection | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 15 | Interaction Text Prediction | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 15 | Interaction Text Prediction | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 17 | Future Object-Set Forecasting | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 18 | IMU-to-Hand Pose Reconstruction | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 18 | IMU-to-Hand Pose Reconstruction | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 19 | Camera-View Synchronization Retrieval | 128ep Aligned Simple | unsupported | Export the missing target field for this 128-episode method, then rerun the same train/validation/test split. |
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| 19 | Camera-View Synchronization Retrieval | 128ep Aligned NN | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
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| 19 | Camera-View Synchronization Retrieval | 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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| 19 | Camera-View Synchronization Retrieval | 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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## Proxy Records
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# Task Method 20-Result Gap Audit
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Generated: `2026-06-20T13:58:05+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: `164`
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- Scoreless records: `16`
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- Proxy-scored records: `4`
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- Source matrix: [`docs/data/task_method_20_result_matrix.json`](docs/data/task_method_20_result_matrix.json)
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| 128ep Raw 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 | 20/20 | 0 | 0 | scored: 20 |
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| Cosmos3-Super Reasoner | cosmos3_super_reasoner | 15/20 | 5 | 0 | not_evaluated_in_verified_package: 5, scored: 15 |
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| Cosmos3-Nano Future Window | cosmos3_nano_future_window | 11/20 | 9 | 0 | not_evaluated_in_verified_package: 9, scored: 11 |
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## Gap Classes
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| Status | Count | Next step |
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| --- | --- | --- |
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| not_evaluated_in_verified_package | 14 | 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 | 1 | 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 | 1 | Export the missing target field for this 128-episode method, then rerun the same train/validation/test split. |
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| Task | Task label | Method | Status | Required evidence |
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| --- | --- | --- | --- | --- |
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| 02 | Procedure Step Recognition | 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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| 05 | Hand Trajectory 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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| 07 | Object Relevance 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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| 08 | Language Grounding | 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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| 11 | Temporal Order Verification | 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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| 11 | Temporal Order Verification | 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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| 12 | Multimodal Synchronization Detection | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 15 | Interaction Text Prediction | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 15 | Interaction Text Prediction | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 17 | Future Object-Set Forecasting | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 18 | IMU-to-Hand Pose Reconstruction | 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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| 19 | Camera-View Synchronization Retrieval | 128ep Aligned Simple | unsupported | Export the missing target field for this 128-episode method, then rerun the same train/validation/test split. |
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| 19 | Camera-View Synchronization Retrieval | 128ep Aligned NN | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
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| 19 | Camera-View Synchronization Retrieval | 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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## Proxy Records
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TASK_METHOD_20_RESULT_MATRIX.md
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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 | 20 | 0 | 0 | scored 20 |
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| Cosmos3-Super Reasoner | 20 |
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| Cosmos3-Nano Future Window | 20 | 11 | 0 | 9 | not evaluated 9, scored 11 |
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| # | Task | Min | NN | 128-S | 128-NN | 128-RS | 128-RN | Qwen3 | C3-S | C3-N |
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| 02 | Procedure Step Recognition | score | score | score | score | score | score | score | score | not evaluated |
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| 03 | Action Boundary Detection | score | score | score | score | score | score | score | score | score |
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| 04 | Next-Action Prediction | score | score | score | score | score | score | score | score | score |
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| 05 | Hand Trajectory Forecasting | score | score | score | score | score | score | score |
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| 06 | Contact State Prediction | score | score | score | score | score | score | score | score | score |
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| 07 | Object Relevance Prediction | score | score | score | score | score | score | score | score | not evaluated |
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| 08 | Language Grounding | score | score | score | score | score | score | score | score | not evaluated |
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| 09 | Cross-Modal Retrieval | score | score | score | score | score | score | score |
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| 10 | Cross-Modal Reconstruction | score | score | score | score | score | score | score |
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| 11 | Temporal Order Verification | score | score | score | score | score | score | score | not evaluated | not evaluated |
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| 12 | Multimodal Synchronization Detection | score | score | score | score | score | score | score | not evaluated | not evaluated |
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| 13 | Long-Horizon Next-Action Forecasting | score | score | score | score | score | score | score | score | score |
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| 15 | Interaction Text Prediction | score | score | score | score | proxy | proxy | score | not evaluated | not evaluated |
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| 16 | Action-Object Relation Prediction | score | score | score | score | score | score | score | score | score |
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| 17 | Future Object-Set Forecasting | score | score | score | score | score | score | score | not evaluated | score |
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| 18 | IMU-to-Hand Pose Reconstruction | score | score | score | score | score | score | score |
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| 19 | Camera-View Synchronization Retrieval | score | score | unsupported | not supported | proxy | proxy | score |
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| 20 | Time-to-Next-Transition Regression | score | score | score | score | score | score | score | score | score |
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Sources and raw values are in `docs/data/task_method_20_result_matrix.json` and `docs/data/unified_task_model_radar.json`.
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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 | 20 | 0 | 0 | scored 20 |
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| Cosmos3-Super Reasoner | 20 | 15 | 0 | 5 | not evaluated 5, scored 15 |
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| Cosmos3-Nano Future Window | 20 | 11 | 0 | 9 | not evaluated 9, scored 11 |
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| # | Task | Min | NN | 128-S | 128-NN | 128-RS | 128-RN | Qwen3 | C3-S | C3-N |
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| 02 | Procedure Step Recognition | score | score | score | score | score | score | score | score | not evaluated |
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| 03 | Action Boundary Detection | score | score | score | score | score | score | score | score | score |
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| 04 | Next-Action Prediction | score | score | score | score | score | score | score | score | score |
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| 05 | Hand Trajectory Forecasting | score | score | score | score | score | score | score | score | not evaluated |
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| 06 | Contact State Prediction | score | score | score | score | score | score | score | score | score |
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| 07 | Object Relevance Prediction | score | score | score | score | score | score | score | score | not evaluated |
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| 08 | Language Grounding | score | score | score | score | score | score | score | score | not evaluated |
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| 09 | Cross-Modal Retrieval | score | score | score | score | score | score | score | score | score |
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| 10 | Cross-Modal Reconstruction | score | score | score | score | score | score | score | score | score |
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| 11 | Temporal Order Verification | score | score | score | score | score | score | score | not evaluated | not evaluated |
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| 12 | Multimodal Synchronization Detection | score | score | score | score | score | score | score | not evaluated | not evaluated |
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| 13 | Long-Horizon Next-Action Forecasting | score | score | score | score | score | score | score | score | score |
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| 15 | Interaction Text Prediction | score | score | score | score | proxy | proxy | score | not evaluated | not evaluated |
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| 16 | Action-Object Relation Prediction | score | score | score | score | score | score | score | score | score |
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| 17 | Future Object-Set Forecasting | score | score | score | score | score | score | score | not evaluated | score |
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| 18 | IMU-to-Hand Pose Reconstruction | score | score | score | score | score | score | score | score | not evaluated |
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| 19 | Camera-View Synchronization Retrieval | score | score | unsupported | not supported | proxy | proxy | score | score | not evaluated |
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| 20 | Time-to-Next-Transition Regression | score | score | score | score | score | score | score | score | score |
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Sources and raw values are in `docs/data/task_method_20_result_matrix.json` and `docs/data/unified_task_model_radar.json`.
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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/publication_audit.json
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{
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"status": "pass",
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"generated_at_utc": "2026-06-
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"checks": [
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{
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"name": "required_publication_assets_present",
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"scripts/omni/build_128_episode_feature_index.py": true,
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"scripts/omni/build_task_suite_enhancement_128.py": true,
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"scripts/omni/collect_qwen3_retrieval_task_probe_results.sh": true,
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"scripts/omni/train_qwen3_omni_lora.py": true,
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"results/omni_finetune/task_suite_enhancement_128_v1_20260608/enhancement_plan.json": true,
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"results/omni_finetune/task_suite_enhancement_128_v1_20260608/ENHANCEMENT_REPORT.md": true
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"github_repo": {
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"root": "repo",
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"exists": true,
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"file_count":
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"text_file_count":
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"largest_file": {
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"path": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/interaction_text_prediction/confusion_matrix.csv",
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"bytes": 73057076
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"source": "results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/imu_to_hand_pose/metrics.json",
|
| 4260 |
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|
| 4261 |
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|
| 4262 |
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|
| 4263 |
{
|
| 4264 |
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|
|
|
|
| 4374 |
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|
| 4375 |
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|
| 4376 |
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|
| 4377 |
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|
| 4378 |
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|
| 4379 |
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| 4380 |
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|
| 4381 |
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|
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|
| 4384 |
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|
| 4385 |
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|
| 4386 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 4387 |
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|
| 4388 |
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|
| 4389 |
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|
| 4390 |
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|
docs/data/mirror_parity.json
CHANGED
|
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docs/data/public_surface_qa.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Public Project Surface",
|
| 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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|
@@ -18,7 +18,7 @@
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|
| 18 |
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|
| 19 |
"exists": true,
|
| 20 |
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|
| 21 |
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"generated_at_utc": "2026-06-
|
| 22 |
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|
| 23 |
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|
| 24 |
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|
|
@@ -28,27 +28,27 @@
|
|
| 28 |
"task_surface_integrity": {
|
| 29 |
"exists": true,
|
| 30 |
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|
| 31 |
-
"generated_at_utc": "2026-06-
|
| 32 |
},
|
| 33 |
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|
| 34 |
"exists": true,
|
| 35 |
"status": "pass",
|
| 36 |
-
"generated_at_utc": "2026-06-
|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
-
"generated_at_utc": "2026-06-
|
| 42 |
},
|
| 43 |
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|
| 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 |
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|
| 54 |
"failures": {}
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Public Project Surface",
|
| 3 |
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|
| 4 |
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"generated_at_utc": "2026-06-20T14:03:48+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 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
|
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|
| 28 |
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|
| 29 |
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|
| 30 |
"status": "pass",
|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
"status": "pass",
|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
"exists": true,
|
| 50 |
"status": "pass",
|
| 51 |
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|
| 52 |
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|
| 53 |
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| 54 |
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docs/data/publication_audit.json
CHANGED
|
@@ -1,6 +1,6 @@
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| 2 |
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| 4 |
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| 5 |
{
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| 6 |
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|
|
@@ -166,6 +166,13 @@
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|
| 166 |
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|
| 167 |
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|
| 168 |
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|
|
|
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|
|
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|
|
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|
| 169 |
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|
| 170 |
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|
| 171 |
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|
|
@@ -216,8 +223,8 @@
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|
| 216 |
"github_repo": {
|
| 217 |
"root": "repo",
|
| 218 |
"exists": true,
|
| 219 |
-
"file_count":
|
| 220 |
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"text_file_count":
|
| 221 |
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|
| 222 |
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| 223 |
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|
@@ -238,7 +245,7 @@
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|
| 238 |
"hf_artifact_bundle": {
|
| 239 |
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|
| 240 |
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|
| 241 |
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| 242 |
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|
| 243 |
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| 244 |
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|
@@ -249,7 +256,7 @@
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|
| 249 |
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|
| 250 |
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| 251 |
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| 252 |
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| 253 |
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| 254 |
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| 255 |
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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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|
| 166 |
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| 167 |
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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 |
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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 |
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| 178 |
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|
|
|
| 223 |
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|
| 224 |
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|
| 225 |
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|
| 226 |
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|
| 227 |
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| 228 |
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| 229 |
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| 230 |
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| 245 |
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| 246 |
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| 247 |
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| 248 |
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|
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|
| 256 |
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| 257 |
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| 258 |
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| 259 |
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|
docs/data/quality_gates.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Release Checks",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
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| 5 |
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| 6 |
"automated_gates": [
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| 7 |
{
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|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Release Checks",
|
| 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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docs/data/scope_claims_audit.json
CHANGED
|
@@ -1,6 +1,6 @@
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|
| 1 |
{
|
| 2 |
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"generated_at_utc": "2026-06-
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| 4 |
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| 5 |
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| 6 |
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|
|
@@ -9,7 +9,7 @@
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|
| 9 |
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| 10 |
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|
| 11 |
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| 12 |
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| 13 |
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|
| 14 |
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| 15 |
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|
@@ -84,7 +84,7 @@
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|
| 84 |
{
|
| 85 |
"name": "historical_32ep_identifiers_are_confined_to_readiness_artifacts",
|
| 86 |
"status": "pass",
|
| 87 |
-
"detail": "historical identifiers found in result provenance files=
|
| 88 |
"evidence": [
|
| 89 |
"results/omni_finetune/"
|
| 90 |
]
|
|
@@ -420,6 +420,6 @@
|
|
| 420 |
"example": "{\"id\": \"xperience-10m-sample:qa:51\", \"episode_id\": \"xperience-10m-sample\", \"split\": \"train\", \"target\": \"episode_qa\", \"prompt_type\": \"json_episode_understanding\", \"center_window\": {\"start_frame\": 1020, \"end_frame\": 1039, \"num_frames\": 20}, \"media\": {\"video_path"
|
| 421 |
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| 422 |
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| 423 |
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| 424 |
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| 425 |
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| 1 |
{
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| 2 |
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| 4 |
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| 5 |
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| 6 |
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|
|
|
| 9 |
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|
| 10 |
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| 11 |
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| 12 |
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| 14 |
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| 15 |
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|
|
|
| 84 |
{
|
| 85 |
"name": "historical_32ep_identifiers_are_confined_to_readiness_artifacts",
|
| 86 |
"status": "pass",
|
| 87 |
+
"detail": "historical identifiers found in result provenance files=1842",
|
| 88 |
"evidence": [
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| 89 |
"results/omni_finetune/"
|
| 90 |
]
|
|
|
|
| 420 |
"example": "{\"id\": \"xperience-10m-sample:qa:51\", \"episode_id\": \"xperience-10m-sample\", \"split\": \"train\", \"target\": \"episode_qa\", \"prompt_type\": \"json_episode_understanding\", \"center_window\": {\"start_frame\": 1020, \"end_frame\": 1039, \"num_frames\": 20}, \"media\": {\"video_path"
|
| 421 |
}
|
| 422 |
],
|
| 423 |
+
"historical_identifier_total_count": 1842,
|
| 424 |
"failures": []
|
| 425 |
}
|
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 |
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|
| 7 |
"method_count": 2,
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Single-Episode 20-Task Radar",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-20T13:58:04+00:00",
|
| 5 |
"description": "Minimal and Neural MLP baselines on the one public sample episode, both scored on all 20 task contracts.",
|
| 6 |
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|
| 7 |
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|
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 |
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|
| 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": "2026-06-20T14:03:48+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 @@
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|
| 1 |
{
|
| 2 |
-
"generated_at_utc": "2026-06-
|
| 3 |
"immediate_actions": [
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| 4 |
{
|
| 5 |
"artifact": "docs/data/task_method_20_gap_audit.json",
|
| 6 |
"id": "gap_audit",
|
| 7 |
-
"purpose": "Keep the
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| 8 |
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| 9 |
{
|
| 10 |
"artifact": "scripts/omni/score_model_output_probes.py",
|
|
@@ -37,11 +37,11 @@
|
|
| 37 |
"proxy_scored_task_count": 0,
|
| 38 |
"result_record_count": 20,
|
| 39 |
"scope": "128 selected episodes, held-out test",
|
| 40 |
-
"scored_task_count":
|
| 41 |
-
"scoreless_task_count":
|
| 42 |
"status_counts": {
|
| 43 |
-
"not_evaluated_in_verified_package":
|
| 44 |
-
"scored":
|
| 45 |
}
|
| 46 |
},
|
| 47 |
"metadata128_neural_mlp": {
|
|
@@ -135,12 +135,12 @@
|
|
| 135 |
},
|
| 136 |
"missing_by_method": {
|
| 137 |
"cosmos3_nano_future_window": 9,
|
| 138 |
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"cosmos3_super_reasoner":
|
| 139 |
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|
| 140 |
"metadata128_simple": 1
|
| 141 |
},
|
| 142 |
"missing_by_status": {
|
| 143 |
-
"not_evaluated_in_verified_package":
|
| 144 |
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|
| 145 |
"unsupported_without_required_target": 1
|
| 146 |
},
|
|
@@ -149,8 +149,7 @@
|
|
| 149 |
"cosmos3_nano_future_window"
|
| 150 |
],
|
| 151 |
"05 Hand Trajectory Forecasting": [
|
| 152 |
-
"cosmos3_nano_future_window"
|
| 153 |
-
"cosmos3_super_reasoner"
|
| 154 |
],
|
| 155 |
"07 Object Relevance Prediction": [
|
| 156 |
"cosmos3_nano_future_window"
|
|
@@ -158,12 +157,6 @@
|
|
| 158 |
"08 Language Grounding": [
|
| 159 |
"cosmos3_nano_future_window"
|
| 160 |
],
|
| 161 |
-
"09 Cross-Modal Retrieval": [
|
| 162 |
-
"cosmos3_super_reasoner"
|
| 163 |
-
],
|
| 164 |
-
"10 Cross-Modal Reconstruction": [
|
| 165 |
-
"cosmos3_super_reasoner"
|
| 166 |
-
],
|
| 167 |
"11 Temporal Order Verification": [
|
| 168 |
"cosmos3_nano_future_window",
|
| 169 |
"cosmos3_super_reasoner"
|
|
@@ -183,12 +176,10 @@
|
|
| 183 |
"cosmos3_super_reasoner"
|
| 184 |
],
|
| 185 |
"18 IMU-to-Hand Pose Reconstruction": [
|
| 186 |
-
"cosmos3_nano_future_window"
|
| 187 |
-
"cosmos3_super_reasoner"
|
| 188 |
],
|
| 189 |
"19 Camera-View Synchronization Retrieval": [
|
| 190 |
"cosmos3_nano_future_window",
|
| 191 |
-
"cosmos3_super_reasoner",
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| 192 |
"metadata128_neural_mlp",
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| 193 |
"metadata128_simple"
|
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]
|
|
@@ -207,19 +198,6 @@
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|
| 207 |
"task_label": "Procedure Step Recognition",
|
| 208 |
"task_number": 2
|
| 209 |
},
|
| 210 |
-
{
|
| 211 |
-
"method": "Cosmos3-Super Reasoner",
|
| 212 |
-
"metric_key": "mpjpe",
|
| 213 |
-
"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",
|
| 214 |
-
"recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
|
| 215 |
-
"scope": "multi_episode_128_partial_model_overlay",
|
| 216 |
-
"series_id": "cosmos3_super_reasoner",
|
| 217 |
-
"status": "not_evaluated_in_verified_package",
|
| 218 |
-
"status_label": "not evaluated",
|
| 219 |
-
"task_id": "hand_trajectory_forecast",
|
| 220 |
-
"task_label": "Hand Trajectory Forecasting",
|
| 221 |
-
"task_number": 5
|
| 222 |
-
},
|
| 223 |
{
|
| 224 |
"method": "Cosmos3-Nano Future Window",
|
| 225 |
"metric_key": "mpjpe",
|
|
@@ -259,32 +237,6 @@
|
|
| 259 |
"task_label": "Language Grounding",
|
| 260 |
"task_number": 8
|
| 261 |
},
|
| 262 |
-
{
|
| 263 |
-
"method": "Cosmos3-Super Reasoner",
|
| 264 |
-
"metric_key": "mrr",
|
| 265 |
-
"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",
|
| 266 |
-
"recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
|
| 267 |
-
"scope": "multi_episode_128_partial_model_overlay",
|
| 268 |
-
"series_id": "cosmos3_super_reasoner",
|
| 269 |
-
"status": "not_evaluated_in_verified_package",
|
| 270 |
-
"status_label": "not evaluated",
|
| 271 |
-
"task_id": "cross_modal_retrieval",
|
| 272 |
-
"task_label": "Cross-Modal Retrieval",
|
| 273 |
-
"task_number": 9
|
| 274 |
-
},
|
| 275 |
-
{
|
| 276 |
-
"method": "Cosmos3-Super Reasoner",
|
| 277 |
-
"metric_key": "r2",
|
| 278 |
-
"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",
|
| 279 |
-
"recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
|
| 280 |
-
"scope": "multi_episode_128_partial_model_overlay",
|
| 281 |
-
"series_id": "cosmos3_super_reasoner",
|
| 282 |
-
"status": "not_evaluated_in_verified_package",
|
| 283 |
-
"status_label": "not evaluated",
|
| 284 |
-
"task_id": "modality_reconstruction",
|
| 285 |
-
"task_label": "Cross-Modal Reconstruction",
|
| 286 |
-
"task_number": 10
|
| 287 |
-
},
|
| 288 |
{
|
| 289 |
"method": "Cosmos3-Super Reasoner",
|
| 290 |
"metric_key": "f1",
|
|
@@ -389,19 +341,6 @@
|
|
| 389 |
"task_label": "Future Object-Set Forecasting",
|
| 390 |
"task_number": 17
|
| 391 |
},
|
| 392 |
-
{
|
| 393 |
-
"method": "Cosmos3-Super Reasoner",
|
| 394 |
-
"metric_key": "mae",
|
| 395 |
-
"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",
|
| 396 |
-
"recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
|
| 397 |
-
"scope": "multi_episode_128_partial_model_overlay",
|
| 398 |
-
"series_id": "cosmos3_super_reasoner",
|
| 399 |
-
"status": "not_evaluated_in_verified_package",
|
| 400 |
-
"status_label": "not evaluated",
|
| 401 |
-
"task_id": "imu_to_hand_pose",
|
| 402 |
-
"task_label": "IMU-to-Hand Pose Reconstruction",
|
| 403 |
-
"task_number": 18
|
| 404 |
-
},
|
| 405 |
{
|
| 406 |
"method": "Cosmos3-Nano Future Window",
|
| 407 |
"metric_key": "mae",
|
|
@@ -441,19 +380,6 @@
|
|
| 441 |
"task_label": "Camera-View Synchronization Retrieval",
|
| 442 |
"task_number": 19
|
| 443 |
},
|
| 444 |
-
{
|
| 445 |
-
"method": "Cosmos3-Super Reasoner",
|
| 446 |
-
"metric_key": "mrr",
|
| 447 |
-
"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",
|
| 448 |
-
"recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
|
| 449 |
-
"scope": "multi_episode_128_partial_model_overlay",
|
| 450 |
-
"series_id": "cosmos3_super_reasoner",
|
| 451 |
-
"status": "not_evaluated_in_verified_package",
|
| 452 |
-
"status_label": "not evaluated",
|
| 453 |
-
"task_id": "camera_view_sync_retrieval",
|
| 454 |
-
"task_label": "Camera-View Synchronization Retrieval",
|
| 455 |
-
"task_number": 19
|
| 456 |
-
},
|
| 457 |
{
|
| 458 |
"method": "Cosmos3-Nano Future Window",
|
| 459 |
"metric_key": "mrr",
|
|
@@ -514,8 +440,8 @@
|
|
| 514 |
"method_count": 9,
|
| 515 |
"method_task_record_count": 180,
|
| 516 |
"proxy_scored_method_task_count": 4,
|
| 517 |
-
"scored_method_task_count":
|
| 518 |
-
"scoreless_method_task_count":
|
| 519 |
"task_count": 20
|
| 520 |
},
|
| 521 |
"source_matrix": "docs/data/task_method_20_result_matrix.json",
|
|
|
|
| 1 |
{
|
| 2 |
+
"generated_at_utc": "2026-06-20T13:58:05+00:00",
|
| 3 |
"immediate_actions": [
|
| 4 |
{
|
| 5 |
"artifact": "docs/data/task_method_20_gap_audit.json",
|
| 6 |
"id": "gap_audit",
|
| 7 |
+
"purpose": "Keep the 16 scoreless cells visible and reproducible."
|
| 8 |
},
|
| 9 |
{
|
| 10 |
"artifact": "scripts/omni/score_model_output_probes.py",
|
|
|
|
| 37 |
"proxy_scored_task_count": 0,
|
| 38 |
"result_record_count": 20,
|
| 39 |
"scope": "128 selected episodes, held-out test",
|
| 40 |
+
"scored_task_count": 15,
|
| 41 |
+
"scoreless_task_count": 5,
|
| 42 |
"status_counts": {
|
| 43 |
+
"not_evaluated_in_verified_package": 5,
|
| 44 |
+
"scored": 15
|
| 45 |
}
|
| 46 |
},
|
| 47 |
"metadata128_neural_mlp": {
|
|
|
|
| 135 |
},
|
| 136 |
"missing_by_method": {
|
| 137 |
"cosmos3_nano_future_window": 9,
|
| 138 |
+
"cosmos3_super_reasoner": 5,
|
| 139 |
"metadata128_neural_mlp": 1,
|
| 140 |
"metadata128_simple": 1
|
| 141 |
},
|
| 142 |
"missing_by_status": {
|
| 143 |
+
"not_evaluated_in_verified_package": 14,
|
| 144 |
"not_supported_by_metadata_only_package": 1,
|
| 145 |
"unsupported_without_required_target": 1
|
| 146 |
},
|
|
|
|
| 149 |
"cosmos3_nano_future_window"
|
| 150 |
],
|
| 151 |
"05 Hand Trajectory Forecasting": [
|
| 152 |
+
"cosmos3_nano_future_window"
|
|
|
|
| 153 |
],
|
| 154 |
"07 Object Relevance Prediction": [
|
| 155 |
"cosmos3_nano_future_window"
|
|
|
|
| 157 |
"08 Language Grounding": [
|
| 158 |
"cosmos3_nano_future_window"
|
| 159 |
],
|
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|
| 160 |
"11 Temporal Order Verification": [
|
| 161 |
"cosmos3_nano_future_window",
|
| 162 |
"cosmos3_super_reasoner"
|
|
|
|
| 176 |
"cosmos3_super_reasoner"
|
| 177 |
],
|
| 178 |
"18 IMU-to-Hand Pose Reconstruction": [
|
| 179 |
+
"cosmos3_nano_future_window"
|
|
|
|
| 180 |
],
|
| 181 |
"19 Camera-View Synchronization Retrieval": [
|
| 182 |
"cosmos3_nano_future_window",
|
|
|
|
| 183 |
"metadata128_neural_mlp",
|
| 184 |
"metadata128_simple"
|
| 185 |
]
|
|
|
|
| 198 |
"task_label": "Procedure Step Recognition",
|
| 199 |
"task_number": 2
|
| 200 |
},
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| 201 |
{
|
| 202 |
"method": "Cosmos3-Nano Future Window",
|
| 203 |
"metric_key": "mpjpe",
|
|
|
|
| 237 |
"task_label": "Language Grounding",
|
| 238 |
"task_number": 8
|
| 239 |
},
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| 240 |
{
|
| 241 |
"method": "Cosmos3-Super Reasoner",
|
| 242 |
"metric_key": "f1",
|
|
|
|
| 341 |
"task_label": "Future Object-Set Forecasting",
|
| 342 |
"task_number": 17
|
| 343 |
},
|
|
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|
| 344 |
{
|
| 345 |
"method": "Cosmos3-Nano Future Window",
|
| 346 |
"metric_key": "mae",
|
|
|
|
| 380 |
"task_label": "Camera-View Synchronization Retrieval",
|
| 381 |
"task_number": 19
|
| 382 |
},
|
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|
| 383 |
{
|
| 384 |
"method": "Cosmos3-Nano Future Window",
|
| 385 |
"metric_key": "mrr",
|
|
|
|
| 440 |
"method_count": 9,
|
| 441 |
"method_task_record_count": 180,
|
| 442 |
"proxy_scored_method_task_count": 4,
|
| 443 |
+
"scored_method_task_count": 164,
|
| 444 |
+
"scoreless_method_task_count": 16,
|
| 445 |
"task_count": 20
|
| 446 |
},
|
| 447 |
"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 |
"task_count": 20,
|
| 6 |
"method_count": 9,
|
| 7 |
"method_task_record_count": 180,
|
| 8 |
-
"scored_method_task_count":
|
| 9 |
"series": [
|
| 10 |
{
|
| 11 |
"id": "minimal",
|
|
@@ -180,20 +180,20 @@
|
|
| 180 |
"kind": "partial_128_episode_foundation_model_overlay",
|
| 181 |
"scope": "128 selected episodes, held-out test",
|
| 182 |
"stroke_dasharray": "4 7",
|
| 183 |
-
"method_detail": "Verified Cosmos3-Super base-weight Reasoner JSON-task evaluation, plus task 8/16
|
| 184 |
"plotted_as": "colored point overlay",
|
| 185 |
"result_record_count": 20,
|
| 186 |
-
"scored_task_count":
|
| 187 |
-
"covered_task_count":
|
| 188 |
"proxy_scored_task_count": 0,
|
| 189 |
-
"scoreless_task_count":
|
| 190 |
"unsupported_task_count": 0,
|
| 191 |
-
"not_evaluated_task_count":
|
| 192 |
"status_counts": {
|
| 193 |
-
"not_evaluated_in_verified_package":
|
| 194 |
-
"scored":
|
| 195 |
},
|
| 196 |
-
"coverage_fraction": 0.
|
| 197 |
"result_record_fraction": 1.0
|
| 198 |
},
|
| 199 |
{
|
|
@@ -1002,17 +1002,17 @@
|
|
| 1002 |
"task_label": "Hand Trajectory Forecasting",
|
| 1003 |
"series_id": "cosmos3_super_reasoner",
|
| 1004 |
"method": "Cosmos3-Super Reasoner",
|
| 1005 |
-
"status": "
|
| 1006 |
-
"status_label": "
|
| 1007 |
-
"scored":
|
| 1008 |
"proxy_scored": false,
|
| 1009 |
-
"raw":
|
| 1010 |
-
"raw_text": "
|
| 1011 |
-
"normalized_score":
|
| 1012 |
-
"metric_key": "
|
| 1013 |
-
"source":
|
| 1014 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 1015 |
-
"reason":
|
| 1016 |
},
|
| 1017 |
{
|
| 1018 |
"task_number": 5,
|
|
@@ -1650,17 +1650,17 @@
|
|
| 1650 |
"task_label": "Cross-Modal Retrieval",
|
| 1651 |
"series_id": "cosmos3_super_reasoner",
|
| 1652 |
"method": "Cosmos3-Super Reasoner",
|
| 1653 |
-
"status": "
|
| 1654 |
-
"status_label": "
|
| 1655 |
-
"scored":
|
| 1656 |
"proxy_scored": false,
|
| 1657 |
-
"raw":
|
| 1658 |
-
"raw_text": "
|
| 1659 |
-
"normalized_score":
|
| 1660 |
-
"metric_key": "
|
| 1661 |
-
"source":
|
| 1662 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 1663 |
-
"reason":
|
| 1664 |
},
|
| 1665 |
{
|
| 1666 |
"task_number": 9,
|
|
@@ -1812,17 +1812,17 @@
|
|
| 1812 |
"task_label": "Cross-Modal Reconstruction",
|
| 1813 |
"series_id": "cosmos3_super_reasoner",
|
| 1814 |
"method": "Cosmos3-Super Reasoner",
|
| 1815 |
-
"status": "
|
| 1816 |
-
"status_label": "
|
| 1817 |
-
"scored":
|
| 1818 |
"proxy_scored": false,
|
| 1819 |
-
"raw":
|
| 1820 |
-
"raw_text": "
|
| 1821 |
-
"normalized_score":
|
| 1822 |
-
"metric_key": "
|
| 1823 |
-
"source":
|
| 1824 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 1825 |
-
"reason":
|
| 1826 |
},
|
| 1827 |
{
|
| 1828 |
"task_number": 10,
|
|
@@ -3108,17 +3108,17 @@
|
|
| 3108 |
"task_label": "IMU-to-Hand Pose Reconstruction",
|
| 3109 |
"series_id": "cosmos3_super_reasoner",
|
| 3110 |
"method": "Cosmos3-Super Reasoner",
|
| 3111 |
-
"status": "
|
| 3112 |
-
"status_label": "
|
| 3113 |
-
"scored":
|
| 3114 |
"proxy_scored": false,
|
| 3115 |
-
"raw":
|
| 3116 |
-
"raw_text": "
|
| 3117 |
-
"normalized_score":
|
| 3118 |
-
"metric_key": "
|
| 3119 |
-
"source":
|
| 3120 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 3121 |
-
"reason":
|
| 3122 |
},
|
| 3123 |
{
|
| 3124 |
"task_number": 18,
|
|
@@ -3270,17 +3270,17 @@
|
|
| 3270 |
"task_label": "Camera-View Synchronization Retrieval",
|
| 3271 |
"series_id": "cosmos3_super_reasoner",
|
| 3272 |
"method": "Cosmos3-Super Reasoner",
|
| 3273 |
-
"status": "
|
| 3274 |
-
"status_label": "
|
| 3275 |
-
"scored":
|
| 3276 |
"proxy_scored": false,
|
| 3277 |
-
"raw":
|
| 3278 |
-
"raw_text": "
|
| 3279 |
-
"normalized_score":
|
| 3280 |
-
"metric_key": "
|
| 3281 |
-
"source":
|
| 3282 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 3283 |
-
"reason":
|
| 3284 |
},
|
| 3285 |
{
|
| 3286 |
"task_number": 19,
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Task Method 20-Result Matrix",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-20T13:58:04+00:00",
|
| 5 |
"task_count": 20,
|
| 6 |
"method_count": 9,
|
| 7 |
"method_task_record_count": 180,
|
| 8 |
+
"scored_method_task_count": 164,
|
| 9 |
"series": [
|
| 10 |
{
|
| 11 |
"id": "minimal",
|
|
|
|
| 180 |
"kind": "partial_128_episode_foundation_model_overlay",
|
| 181 |
"scope": "128 selected episodes, held-out test",
|
| 182 |
"stroke_dasharray": "4 7",
|
| 183 |
+
"method_detail": "Verified Cosmos3-Super base-weight Reasoner JSON-task evaluation, plus task 5/8/9/10/11/12/13/14/16/17/18/19/20 probes where public metrics exist.",
|
| 184 |
"plotted_as": "colored point overlay",
|
| 185 |
"result_record_count": 20,
|
| 186 |
+
"scored_task_count": 15,
|
| 187 |
+
"covered_task_count": 15,
|
| 188 |
"proxy_scored_task_count": 0,
|
| 189 |
+
"scoreless_task_count": 5,
|
| 190 |
"unsupported_task_count": 0,
|
| 191 |
+
"not_evaluated_task_count": 5,
|
| 192 |
"status_counts": {
|
| 193 |
+
"not_evaluated_in_verified_package": 5,
|
| 194 |
+
"scored": 15
|
| 195 |
},
|
| 196 |
+
"coverage_fraction": 0.75,
|
| 197 |
"result_record_fraction": 1.0
|
| 198 |
},
|
| 199 |
{
|
|
|
|
| 1002 |
"task_label": "Hand Trajectory Forecasting",
|
| 1003 |
"series_id": "cosmos3_super_reasoner",
|
| 1004 |
"method": "Cosmos3-Super Reasoner",
|
| 1005 |
+
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docs/data/task_surface_integrity.json
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| 2498 |
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| 2499 |
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{
|
| 493 |
"path": "data/task_method_20_result_matrix.json",
|
| 494 |
+
"bytes": 128510,
|
| 495 |
"top_level_type": "dict"
|
| 496 |
},
|
| 497 |
{
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|
| 526 |
},
|
| 527 |
{
|
| 528 |
"path": "data/unified_task_model_radar.json",
|
| 529 |
+
"bytes": 228639,
|
| 530 |
"top_level_type": "dict"
|
| 531 |
},
|
| 532 |
{
|
|
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|
| 571 |
{
|
| 572 |
"path": "assets/charts/episode128_task_model_radar.svg",
|
| 573 |
"exists": true,
|
| 574 |
+
"bytes": 50154,
|
| 575 |
"format": "SVG",
|
| 576 |
"has_viewbox": true
|
| 577 |
},
|
|
|
|
| 641 |
{
|
| 642 |
"path": "assets/charts/unified_task_model_radar.svg",
|
| 643 |
"exists": true,
|
| 644 |
+
"bytes": 56167,
|
| 645 |
"format": "SVG",
|
| 646 |
"has_viewbox": true
|
| 647 |
},
|
results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/RUN_REPORT.md
ADDED
|
@@ -0,0 +1,12 @@
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|
| 1 |
+
# Cosmos3-Super Reasoner Retrieval Task Probes
|
| 2 |
+
|
| 3 |
+
- Run ID: `xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620`
|
| 4 |
+
- Shards: `4`
|
| 5 |
+
|
| 6 |
+
| Task | Metric | Score | Samples |
|
| 7 |
+
| --- | --- | ---: | ---: |
|
| 8 |
+
| Hand Trajectory Forecasting | hand_trajectory_forecast_mrr | 0.891525 | 3951 |
|
| 9 |
+
| Cross-Modal Retrieval | cross_modal_retrieval_mrr | 0.662849 | 3951 |
|
| 10 |
+
| Cross-Modal Reconstruction | modality_reconstruction_mrr | 0.993947 | 3951 |
|
| 11 |
+
| Camera-View Sync Retrieval | camera_view_sync_retrieval_mrr | 0.997975 | 3951 |
|
| 12 |
+
| IMU-to-Hand Pose Reconstruction | imu_to_hand_pose_mrr | 0.989665 | 3951 |
|
results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/camera_view_sync_retrieval/metrics.json
ADDED
|
@@ -0,0 +1,30 @@
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|
|
|
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|
|
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|
|
|
| 1 |
+
{
|
| 2 |
+
"adapter_dir": ".",
|
| 3 |
+
"camera_view_sync_retrieval_mrr": 0.9979751961528727,
|
| 4 |
+
"candidate_count": 4,
|
| 5 |
+
"caption_grounding_mrr": 0.9979751961528727,
|
| 6 |
+
"cross_modal_retrieval_mrr": 0.9979751961528727,
|
| 7 |
+
"dataset_jsonl": "results/omni_finetune/xperience10m_qwen3_omni_128ep_multiscale_cap96_v5_full8gpu_lora_dataset/dataset_a100_eval.jsonl",
|
| 8 |
+
"eval_split": "test",
|
| 9 |
+
"future_frames": 100,
|
| 10 |
+
"hand_trajectory_forecast_mrr": 0.9979751961528727,
|
| 11 |
+
"imu_to_hand_pose_mrr": 0.9979751961528727,
|
| 12 |
+
"metric_key": "camera_view_sync_retrieval_mrr",
|
| 13 |
+
"modality_reconstruction_mrr": 0.9979751961528727,
|
| 14 |
+
"model_id": null,
|
| 15 |
+
"mrr": 0.9979751961528727,
|
| 16 |
+
"num_samples": 3951,
|
| 17 |
+
"primary_metric": "camera_view_sync_retrieval_mrr",
|
| 18 |
+
"primary_score": 0.9979751961528727,
|
| 19 |
+
"run_id": "xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620",
|
| 20 |
+
"sample_offset": 0,
|
| 21 |
+
"sample_stride": 1,
|
| 22 |
+
"scope": "held_out_test_qwen3_retrieval_task_probe",
|
| 23 |
+
"score_policy": "GPU-backed Qwen3-Omni v6 camera-view synchronization retrieval probe. The prompt shows one camera view as the reference and asks the model to rank shuffled candidate views; the true target is a different camera from the same held-out time window. When raw per-view videos are absent, the evaluator crops the corresponding view tile from the staged multi-view mosaic video. No action, subtask, object, or future labels are included.",
|
| 24 |
+
"status": "pass",
|
| 25 |
+
"task_id": "camera_view_sync_retrieval",
|
| 26 |
+
"task_label": "Camera-View Sync Retrieval",
|
| 27 |
+
"task_number": 19,
|
| 28 |
+
"title": "Qwen3-Omni v6 Camera-View Sync Retrieval",
|
| 29 |
+
"top1_accuracy": 0.9959503923057453
|
| 30 |
+
}
|
results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/camera_view_sync_retrieval/predictions.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/collection_validation.json
ADDED
|
@@ -0,0 +1,44 @@
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|
|
|
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|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"records": [
|
| 3 |
+
{
|
| 4 |
+
"metric_key": "hand_trajectory_forecast_mrr",
|
| 5 |
+
"num_samples": 3951,
|
| 6 |
+
"primary_score": 0.8915253522315043,
|
| 7 |
+
"source": "results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/hand_trajectory_forecast/metrics.json",
|
| 8 |
+
"task_id": "hand_trajectory_forecast"
|
| 9 |
+
},
|
| 10 |
+
{
|
| 11 |
+
"metric_key": "cross_modal_retrieval_mrr",
|
| 12 |
+
"num_samples": 3951,
|
| 13 |
+
"primary_score": 0.6628490677465636,
|
| 14 |
+
"source": "results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/cross_modal_retrieval/metrics.json",
|
| 15 |
+
"task_id": "cross_modal_retrieval"
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"metric_key": "modality_reconstruction_mrr",
|
| 19 |
+
"num_samples": 3951,
|
| 20 |
+
"primary_score": 0.9939466801653591,
|
| 21 |
+
"source": "results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/modality_reconstruction/metrics.json",
|
| 22 |
+
"task_id": "modality_reconstruction"
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"metric_key": "imu_to_hand_pose_mrr",
|
| 26 |
+
"num_samples": 3951,
|
| 27 |
+
"primary_score": 0.9896650636969544,
|
| 28 |
+
"source": "results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/imu_to_hand_pose/metrics.json",
|
| 29 |
+
"task_id": "imu_to_hand_pose"
|
| 30 |
+
},
|
| 31 |
+
{
|
| 32 |
+
"metric_key": "camera_view_sync_retrieval_mrr",
|
| 33 |
+
"num_samples": 3951,
|
| 34 |
+
"primary_score": 0.9979751961528727,
|
| 35 |
+
"source": "results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/camera_view_sync_retrieval/metrics.json",
|
| 36 |
+
"task_id": "camera_view_sync_retrieval"
|
| 37 |
+
}
|
| 38 |
+
],
|
| 39 |
+
"run_id": "xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620",
|
| 40 |
+
"status": "pass",
|
| 41 |
+
"summary": "results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/summary.json",
|
| 42 |
+
"title": "Cosmos3-Super Retrieval Task Probe Collection Validation",
|
| 43 |
+
"validated_task_count": 5
|
| 44 |
+
}
|
results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/cross_modal_retrieval/metrics.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"adapter_dir": ".",
|
| 3 |
+
"camera_view_sync_retrieval_mrr": 0.6628490677465636,
|
| 4 |
+
"candidate_count": 4,
|
| 5 |
+
"caption_grounding_mrr": 0.6628490677465636,
|
| 6 |
+
"cross_modal_retrieval_mrr": 0.6628490677465636,
|
| 7 |
+
"dataset_jsonl": "results/omni_finetune/xperience10m_qwen3_omni_128ep_multiscale_cap96_v5_full8gpu_lora_dataset/dataset_a100_eval.jsonl",
|
| 8 |
+
"eval_split": "test",
|
| 9 |
+
"future_frames": 100,
|
| 10 |
+
"hand_trajectory_forecast_mrr": 0.6628490677465636,
|
| 11 |
+
"imu_to_hand_pose_mrr": 0.6628490677465636,
|
| 12 |
+
"metric_key": "cross_modal_retrieval_mrr",
|
| 13 |
+
"modality_reconstruction_mrr": 0.6628490677465636,
|
| 14 |
+
"model_id": null,
|
| 15 |
+
"mrr": 0.6628490677465636,
|
| 16 |
+
"num_samples": 3951,
|
| 17 |
+
"primary_metric": "cross_modal_retrieval_mrr",
|
| 18 |
+
"primary_score": 0.6628490677465636,
|
| 19 |
+
"run_id": "xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620",
|
| 20 |
+
"sample_offset": 0,
|
| 21 |
+
"sample_stride": 1,
|
| 22 |
+
"scope": "held_out_test_qwen3_retrieval_task_probe",
|
| 23 |
+
"score_policy": "GPU-backed Qwen3-Omni v6 sensor-to-video retrieval probe. The query is a compact summary of held-out motion-capture, body-contact, camera-pose, and IMU feature blocks; candidates are shuffled staged mosaic video windows, and the score is MRR of the synchronized true window. No action/subtask/object labels are included in the query.",
|
| 24 |
+
"status": "pass",
|
| 25 |
+
"task_id": "cross_modal_retrieval",
|
| 26 |
+
"task_label": "Cross-Modal Retrieval",
|
| 27 |
+
"task_number": 9,
|
| 28 |
+
"title": "Qwen3-Omni v6 Cross-Modal Retrieval",
|
| 29 |
+
"top1_accuracy": 0.46924829157175396
|
| 30 |
+
}
|
results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/cross_modal_retrieval/predictions.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/cross_modal_retrieval/predictions.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/hand_trajectory_forecast/metrics.json
ADDED
|
@@ -0,0 +1,30 @@
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|
|
|
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|
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|
|
|
|
|
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|
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|
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|
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|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"adapter_dir": ".",
|
| 3 |
+
"camera_view_sync_retrieval_mrr": 0.8915253522315043,
|
| 4 |
+
"candidate_count": 4,
|
| 5 |
+
"caption_grounding_mrr": 0.8915253522315043,
|
| 6 |
+
"cross_modal_retrieval_mrr": 0.8915253522315043,
|
| 7 |
+
"dataset_jsonl": "results/omni_finetune/xperience10m_qwen3_omni_128ep_multiscale_cap96_v5_full8gpu_lora_dataset/dataset_a100_eval.jsonl",
|
| 8 |
+
"eval_split": "test",
|
| 9 |
+
"future_frames": 100,
|
| 10 |
+
"hand_trajectory_forecast_mrr": 0.8915253522315043,
|
| 11 |
+
"imu_to_hand_pose_mrr": 0.8915253522315043,
|
| 12 |
+
"metric_key": "hand_trajectory_forecast_mrr",
|
| 13 |
+
"modality_reconstruction_mrr": 0.8915253522315043,
|
| 14 |
+
"model_id": null,
|
| 15 |
+
"mrr": 0.8915253522315043,
|
| 16 |
+
"num_samples": 3951,
|
| 17 |
+
"primary_metric": "hand_trajectory_forecast_mrr",
|
| 18 |
+
"primary_score": 0.8915253522315043,
|
| 19 |
+
"run_id": "xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620",
|
| 20 |
+
"sample_offset": 0,
|
| 21 |
+
"sample_stride": 1,
|
| 22 |
+
"scope": "held_out_test_qwen3_retrieval_task_probe",
|
| 23 |
+
"score_policy": "GPU-backed Qwen3-Omni v6 future hand-trajectory retrieval probe. The prompt shows the held-out current video window and asks the model to rank shuffled compact hand-pose target summaries; the true target is the staged hand-joint feature block from the window at the configured future-frame offset. This avoids asking the language model to emit hundreds of raw pose floats while still scoring against real exported hand targets.",
|
| 24 |
+
"status": "pass",
|
| 25 |
+
"task_id": "hand_trajectory_forecast",
|
| 26 |
+
"task_label": "Hand Trajectory Forecasting",
|
| 27 |
+
"task_number": 5,
|
| 28 |
+
"title": "Qwen3-Omni v6 Hand Trajectory Forecasting",
|
| 29 |
+
"top1_accuracy": 0.8301695773221969
|
| 30 |
+
}
|
results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/hand_trajectory_forecast/predictions.csv
ADDED
|
The diff for this file is too large to render.
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|
|
|
results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/imu_to_hand_pose/metrics.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
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|
|
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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"adapter_dir": ".",
|
| 3 |
+
"camera_view_sync_retrieval_mrr": 0.9896650636969544,
|
| 4 |
+
"candidate_count": 4,
|
| 5 |
+
"caption_grounding_mrr": 0.9896650636969544,
|
| 6 |
+
"cross_modal_retrieval_mrr": 0.9896650636969544,
|
| 7 |
+
"dataset_jsonl": "results/omni_finetune/xperience10m_qwen3_omni_128ep_multiscale_cap96_v5_full8gpu_lora_dataset/dataset_a100_eval.jsonl",
|
| 8 |
+
"eval_split": "test",
|
| 9 |
+
"future_frames": 100,
|
| 10 |
+
"hand_trajectory_forecast_mrr": 0.9896650636969544,
|
| 11 |
+
"imu_to_hand_pose_mrr": 0.9896650636969544,
|
| 12 |
+
"metric_key": "imu_to_hand_pose_mrr",
|
| 13 |
+
"modality_reconstruction_mrr": 0.9896650636969544,
|
| 14 |
+
"model_id": null,
|
| 15 |
+
"mrr": 0.9896650636969544,
|
| 16 |
+
"num_samples": 3951,
|
| 17 |
+
"primary_metric": "imu_to_hand_pose_mrr",
|
| 18 |
+
"primary_score": 0.9896650636969544,
|
| 19 |
+
"run_id": "xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620",
|
| 20 |
+
"sample_offset": 0,
|
| 21 |
+
"sample_stride": 1,
|
| 22 |
+
"scope": "held_out_test_qwen3_retrieval_task_probe",
|
| 23 |
+
"score_policy": "GPU-backed Qwen3-Omni v6 IMU-to-hand-pose retrieval probe. The query is the held-out IMU accel/gyro summary and candidates are shuffled compact hand-joint summaries from the staged sensor shards; the score is MRR of the synchronized true hand-pose target.",
|
| 24 |
+
"status": "pass",
|
| 25 |
+
"task_id": "imu_to_hand_pose",
|
| 26 |
+
"task_label": "IMU-to-Hand Pose Reconstruction",
|
| 27 |
+
"task_number": 18,
|
| 28 |
+
"title": "Qwen3-Omni v6 IMU-to-Hand Pose Reconstruction",
|
| 29 |
+
"top1_accuracy": 0.9832953682611997
|
| 30 |
+
}
|
results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/imu_to_hand_pose/predictions.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/modality_reconstruction/metrics.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"adapter_dir": ".",
|
| 3 |
+
"camera_view_sync_retrieval_mrr": 0.9939466801653591,
|
| 4 |
+
"candidate_count": 4,
|
| 5 |
+
"caption_grounding_mrr": 0.9939466801653591,
|
| 6 |
+
"cross_modal_retrieval_mrr": 0.9939466801653591,
|
| 7 |
+
"dataset_jsonl": "results/omni_finetune/xperience10m_qwen3_omni_128ep_multiscale_cap96_v5_full8gpu_lora_dataset/dataset_a100_eval.jsonl",
|
| 8 |
+
"eval_split": "test",
|
| 9 |
+
"future_frames": 100,
|
| 10 |
+
"hand_trajectory_forecast_mrr": 0.9939466801653591,
|
| 11 |
+
"imu_to_hand_pose_mrr": 0.9939466801653591,
|
| 12 |
+
"metric_key": "modality_reconstruction_mrr",
|
| 13 |
+
"modality_reconstruction_mrr": 0.9939466801653591,
|
| 14 |
+
"model_id": null,
|
| 15 |
+
"mrr": 0.9939466801653591,
|
| 16 |
+
"num_samples": 3951,
|
| 17 |
+
"primary_metric": "modality_reconstruction_mrr",
|
| 18 |
+
"primary_score": 0.9939466801653591,
|
| 19 |
+
"run_id": "xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620",
|
| 20 |
+
"sample_offset": 0,
|
| 21 |
+
"sample_stride": 1,
|
| 22 |
+
"scope": "held_out_test_qwen3_retrieval_task_probe",
|
| 23 |
+
"score_policy": "GPU-backed Qwen3-Omni v6 cross-modal reconstruction retrieval probe. The query is a compact summary of motion-capture, body-contact, camera-pose, and IMU feature blocks; candidates are shuffled compact visual/depth/calibration target summaries from staged sensor shards, and the score is MRR of the synchronized true target.",
|
| 24 |
+
"status": "pass",
|
| 25 |
+
"task_id": "modality_reconstruction",
|
| 26 |
+
"task_label": "Cross-Modal Reconstruction",
|
| 27 |
+
"task_number": 10,
|
| 28 |
+
"title": "Qwen3-Omni v6 Cross-Modal Reconstruction",
|
| 29 |
+
"top1_accuracy": 0.9893697798025817
|
| 30 |
+
}
|
results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/modality_reconstruction/predictions.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/summary.json
ADDED
|
@@ -0,0 +1,53 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"run_id": "xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620",
|
| 3 |
+
"shard_dirs": [
|
| 4 |
+
"results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620_shard0",
|
| 5 |
+
"results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620_shard1",
|
| 6 |
+
"results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620_shard2",
|
| 7 |
+
"results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620_shard3"
|
| 8 |
+
],
|
| 9 |
+
"status": "pass",
|
| 10 |
+
"tasks": {
|
| 11 |
+
"camera_view_sync_retrieval": {
|
| 12 |
+
"metric_key": "camera_view_sync_retrieval_mrr",
|
| 13 |
+
"metrics_json": "results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/camera_view_sync_retrieval/metrics.json",
|
| 14 |
+
"num_samples": 3951,
|
| 15 |
+
"primary_score": 0.9979751961528727,
|
| 16 |
+
"task_label": "Camera-View Sync Retrieval",
|
| 17 |
+
"task_number": 19
|
| 18 |
+
},
|
| 19 |
+
"cross_modal_retrieval": {
|
| 20 |
+
"metric_key": "cross_modal_retrieval_mrr",
|
| 21 |
+
"metrics_json": "results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/cross_modal_retrieval/metrics.json",
|
| 22 |
+
"num_samples": 3951,
|
| 23 |
+
"primary_score": 0.6628490677465636,
|
| 24 |
+
"task_label": "Cross-Modal Retrieval",
|
| 25 |
+
"task_number": 9
|
| 26 |
+
},
|
| 27 |
+
"hand_trajectory_forecast": {
|
| 28 |
+
"metric_key": "hand_trajectory_forecast_mrr",
|
| 29 |
+
"metrics_json": "results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/hand_trajectory_forecast/metrics.json",
|
| 30 |
+
"num_samples": 3951,
|
| 31 |
+
"primary_score": 0.8915253522315043,
|
| 32 |
+
"task_label": "Hand Trajectory Forecasting",
|
| 33 |
+
"task_number": 5
|
| 34 |
+
},
|
| 35 |
+
"imu_to_hand_pose": {
|
| 36 |
+
"metric_key": "imu_to_hand_pose_mrr",
|
| 37 |
+
"metrics_json": "results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/imu_to_hand_pose/metrics.json",
|
| 38 |
+
"num_samples": 3951,
|
| 39 |
+
"primary_score": 0.9896650636969544,
|
| 40 |
+
"task_label": "IMU-to-Hand Pose Reconstruction",
|
| 41 |
+
"task_number": 18
|
| 42 |
+
},
|
| 43 |
+
"modality_reconstruction": {
|
| 44 |
+
"metric_key": "modality_reconstruction_mrr",
|
| 45 |
+
"metrics_json": "results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/modality_reconstruction/metrics.json",
|
| 46 |
+
"num_samples": 3951,
|
| 47 |
+
"primary_score": 0.9939466801653591,
|
| 48 |
+
"task_label": "Cross-Modal Reconstruction",
|
| 49 |
+
"task_number": 10
|
| 50 |
+
}
|
| 51 |
+
},
|
| 52 |
+
"title": "Cosmos3-Super Reasoner Retrieval Task Probes"
|
| 53 |
+
}
|
results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620_shard0.progress.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620_shard1.progress.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620_shard2.progress.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
results/omni_finetune/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620/xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620_shard3.progress.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
scripts/build_unified_task_model_radar.py
CHANGED
|
@@ -78,7 +78,12 @@ QWEN_INTERACTION_TEXT_PROBE_DIR = (
|
|
| 78 |
COSMOS_SUPER_RETRIEVAL_TASK_PROBE_DIR = (
|
| 79 |
ROOT
|
| 80 |
/ "results/omni_finetune"
|
| 81 |
-
/ "
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 82 |
)
|
| 83 |
QWEN_ACTION_OBJECT_METRICS_PATH = (
|
| 84 |
MODEL_OUTPUT_TASK_PROBE_DIR / "action_object_relation/qwen3_omni_v6_lora/metrics.json"
|
|
@@ -157,6 +162,18 @@ COSMOS_SUPER_RETRIEVAL_TASK_METRIC_KEYS = {
|
|
| 157 |
"imu_to_hand_pose": "imu_to_hand_pose_mrr",
|
| 158 |
"camera_view_sync_retrieval": "camera_view_sync_retrieval_mrr",
|
| 159 |
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 160 |
OUTPUT_JSON = ROOT / "docs/data/unified_task_model_radar.json"
|
| 161 |
OUTPUT_SINGLE_JSON = ROOT / "docs/data/single_episode_task_model_radar.json"
|
| 162 |
OUTPUT_128_JSON = ROOT / "docs/data/episode128_task_model_radar.json"
|
|
@@ -369,7 +386,7 @@ METHOD_DETAILS = {
|
|
| 369 |
"raw128_simple": "128-episode 4430-dim sensor NPZ simple heads; tasks 15/19 use compact proxies.",
|
| 370 |
"raw128_neural_mlp": "128-episode 4430-dim sensor NPZ MLP heads; tasks 15/19 use compact proxies.",
|
| 371 |
"qwen3_omni_v6_lora": "Verified held-out Qwen3-Omni v6 LoRA metrics, plus task 16 and any completed private-GPU future/retrieval/sensor-target probes scored from task-specific JSON.",
|
| 372 |
-
"cosmos3_super_reasoner": "Verified Cosmos3-Super base-weight Reasoner JSON-task evaluation, plus task 8/16
|
| 373 |
"cosmos3_nano_future_window": "Verified Cosmos3-Nano future-window compatibility metrics, plus tasks 10/13/14/16/17 and a derived task-20 boundary timing probe scored from existing held-out future-window artifacts.",
|
| 374 |
}
|
| 375 |
|
|
@@ -429,6 +446,14 @@ def foundation_task_metric_mapping(
|
|
| 429 |
continue
|
| 430 |
cosmos_super_metrics[metric_key] = metric_value
|
| 431 |
mapping.setdefault(task_id, {})["cosmos3_super_reasoner"] = metric_key
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 432 |
return mapping
|
| 433 |
|
| 434 |
|
|
|
|
| 78 |
COSMOS_SUPER_RETRIEVAL_TASK_PROBE_DIR = (
|
| 79 |
ROOT
|
| 80 |
/ "results/omni_finetune"
|
| 81 |
+
/ "xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620"
|
| 82 |
+
)
|
| 83 |
+
COSMOS_SUPER_FUTURE_TASK_PROBE_DIR = (
|
| 84 |
+
ROOT
|
| 85 |
+
/ "results/omni_finetune"
|
| 86 |
+
/ "xperience10m_cosmos3_super_future_task_probes_a100_textonly_v1_20260620"
|
| 87 |
)
|
| 88 |
QWEN_ACTION_OBJECT_METRICS_PATH = (
|
| 89 |
MODEL_OUTPUT_TASK_PROBE_DIR / "action_object_relation/qwen3_omni_v6_lora/metrics.json"
|
|
|
|
| 162 |
"imu_to_hand_pose": "imu_to_hand_pose_mrr",
|
| 163 |
"camera_view_sync_retrieval": "camera_view_sync_retrieval_mrr",
|
| 164 |
}
|
| 165 |
+
COSMOS_SUPER_FUTURE_TASK_METRIC_PATHS = {
|
| 166 |
+
"temporal_order": COSMOS_SUPER_FUTURE_TASK_PROBE_DIR / "temporal_order/metrics.json",
|
| 167 |
+
"misalignment_detection": COSMOS_SUPER_FUTURE_TASK_PROBE_DIR / "misalignment_detection/metrics.json",
|
| 168 |
+
"next_subtask_forecast": COSMOS_SUPER_FUTURE_TASK_PROBE_DIR / "next_subtask_forecast/metrics.json",
|
| 169 |
+
"object_set_forecast": COSMOS_SUPER_FUTURE_TASK_PROBE_DIR / "object_set_forecast/metrics.json",
|
| 170 |
+
}
|
| 171 |
+
COSMOS_SUPER_FUTURE_TASK_METRIC_KEYS = {
|
| 172 |
+
"temporal_order": "temporal_order_f1",
|
| 173 |
+
"misalignment_detection": "misalignment_detection_f1",
|
| 174 |
+
"next_subtask_forecast": "next_subtask_forecast_macro_f1",
|
| 175 |
+
"object_set_forecast": "object_set_forecast_micro_f1",
|
| 176 |
+
}
|
| 177 |
OUTPUT_JSON = ROOT / "docs/data/unified_task_model_radar.json"
|
| 178 |
OUTPUT_SINGLE_JSON = ROOT / "docs/data/single_episode_task_model_radar.json"
|
| 179 |
OUTPUT_128_JSON = ROOT / "docs/data/episode128_task_model_radar.json"
|
|
|
|
| 386 |
"raw128_simple": "128-episode 4430-dim sensor NPZ simple heads; tasks 15/19 use compact proxies.",
|
| 387 |
"raw128_neural_mlp": "128-episode 4430-dim sensor NPZ MLP heads; tasks 15/19 use compact proxies.",
|
| 388 |
"qwen3_omni_v6_lora": "Verified held-out Qwen3-Omni v6 LoRA metrics, plus task 16 and any completed private-GPU future/retrieval/sensor-target probes scored from task-specific JSON.",
|
| 389 |
+
"cosmos3_super_reasoner": "Verified Cosmos3-Super base-weight Reasoner JSON-task evaluation, plus task 5/8/9/10/11/12/13/14/16/17/18/19/20 probes where public metrics exist.",
|
| 390 |
"cosmos3_nano_future_window": "Verified Cosmos3-Nano future-window compatibility metrics, plus tasks 10/13/14/16/17 and a derived task-20 boundary timing probe scored from existing held-out future-window artifacts.",
|
| 391 |
}
|
| 392 |
|
|
|
|
| 446 |
continue
|
| 447 |
cosmos_super_metrics[metric_key] = metric_value
|
| 448 |
mapping.setdefault(task_id, {})["cosmos3_super_reasoner"] = metric_key
|
| 449 |
+
for task_id, path in COSMOS_SUPER_FUTURE_TASK_METRIC_PATHS.items():
|
| 450 |
+
payload = read_json(path)
|
| 451 |
+
metric_key = COSMOS_SUPER_FUTURE_TASK_METRIC_KEYS[task_id]
|
| 452 |
+
metric_value = payload.get(metric_key)
|
| 453 |
+
if payload.get("status") != "pass" or not isinstance(metric_value, (int, float)):
|
| 454 |
+
continue
|
| 455 |
+
cosmos_super_metrics[metric_key] = metric_value
|
| 456 |
+
mapping.setdefault(task_id, {})["cosmos3_super_reasoner"] = metric_key
|
| 457 |
return mapping
|
| 458 |
|
| 459 |
|
scripts/sync_hf_publish_mirrors.py
CHANGED
|
@@ -536,6 +536,8 @@ def main() -> int:
|
|
| 536 |
| set(parity.model_output_task_probe_result_files())
|
| 537 |
| set(parity.qwen3_future_task_probe_result_files())
|
| 538 |
| set(parity.qwen3_retrieval_task_probe_result_files())
|
|
|
|
|
|
|
| 539 |
)
|
| 540 |
for filename in result_files:
|
| 541 |
src = ROOT / "results" / filename
|
|
@@ -554,6 +556,8 @@ def main() -> int:
|
|
| 554 |
| set(parity.model_output_task_probe_result_files())
|
| 555 |
| set(parity.qwen3_future_task_probe_result_files())
|
| 556 |
| set(parity.qwen3_retrieval_task_probe_result_files())
|
|
|
|
|
|
|
| 557 |
)
|
| 558 |
for filename in space_result_files:
|
| 559 |
src = ROOT / "results" / filename
|
|
|
|
| 536 |
| set(parity.model_output_task_probe_result_files())
|
| 537 |
| set(parity.qwen3_future_task_probe_result_files())
|
| 538 |
| set(parity.qwen3_retrieval_task_probe_result_files())
|
| 539 |
+
| set(parity.cosmos3_super_retrieval_task_probe_result_files())
|
| 540 |
+
| set(parity.cosmos3_super_future_task_probe_result_files())
|
| 541 |
)
|
| 542 |
for filename in result_files:
|
| 543 |
src = ROOT / "results" / filename
|
|
|
|
| 556 |
| set(parity.model_output_task_probe_result_files())
|
| 557 |
| set(parity.qwen3_future_task_probe_result_files())
|
| 558 |
| set(parity.qwen3_retrieval_task_probe_result_files())
|
| 559 |
+
| set(parity.cosmos3_super_retrieval_task_probe_result_files())
|
| 560 |
+
| set(parity.cosmos3_super_future_task_probe_result_files())
|
| 561 |
)
|
| 562 |
for filename in space_result_files:
|
| 563 |
src = ROOT / "results" / filename
|
scripts/validate_mirror_parity.py
CHANGED
|
@@ -26,6 +26,12 @@ QWEN3_RETRIEVAL_TASK_PROBE_RUN_IDS = [
|
|
| 26 |
"xperience10m_qwen3_omni_v6_sensor_target_probes_a100_20260619T000000Z",
|
| 27 |
"xperience10m_qwen3_omni_v6_interaction_text_task15_a100_20260620T010305Z",
|
| 28 |
]
|
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|
| 29 |
|
| 30 |
DATA_FILES = [
|
| 31 |
"additional_development_directions.json",
|
|
@@ -129,16 +135,21 @@ SCRIPT_FILES = [
|
|
| 129 |
"omni/build_128_episode_feature_index.py",
|
| 130 |
"omni/collect_qwen3_future_task_probe_results.sh",
|
| 131 |
"omni/collect_qwen3_retrieval_task_probe_results.sh",
|
|
|
|
|
|
|
| 132 |
"omni/collect_qwen3_v4_release_artifacts.py",
|
| 133 |
"omni/defer_cosmos3_super_after_qwen_v4.sh",
|
| 134 |
"omni/defer_qwen3_retrieval_after_order_sync.sh",
|
| 135 |
"omni/defer_qwen3_fullparam_after_verified_qwen.sh",
|
| 136 |
"omni/eval_qwen3_omni_future_task_probes.py",
|
| 137 |
"omni/eval_qwen3_omni_retrieval_task_probes.py",
|
|
|
|
|
|
|
| 138 |
"omni/export_cosmos3_camera_pose_targets.py",
|
| 139 |
"omni/launch_all_task_model_scoring_when_free.sh",
|
| 140 |
"omni/merge_qwen3_omni_future_task_probe_shards.py",
|
| 141 |
"omni/merge_qwen3_omni_retrieval_task_probe_shards.py",
|
|
|
|
| 142 |
"omni/pack_cosmos3_super_action_batch.py",
|
| 143 |
"omni/prepare_cosmos3_super_lora_hf_package.py",
|
| 144 |
"omni/prepare_qwen3_lora_hf_package.py",
|
|
@@ -147,6 +158,8 @@ SCRIPT_FILES = [
|
|
| 147 |
"omni/run_private_gpu_qwen3_v6_repro_smoke.sh",
|
| 148 |
"omni/run_qwen3_omni_future_task_probes_sharded.sh",
|
| 149 |
"omni/run_qwen3_omni_retrieval_task_probes_sharded.sh",
|
|
|
|
|
|
|
| 150 |
"omni/score_existing_model_output_task_probes.py",
|
| 151 |
"omni/score_model_output_probes.py",
|
| 152 |
"omni/run_128_task_baselines.py",
|
|
@@ -479,6 +492,44 @@ def qwen3_retrieval_task_probe_result_files() -> list[str]:
|
|
| 479 |
return sorted(set(files))
|
| 480 |
|
| 481 |
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|
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|
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|
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|
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|
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|
| 482 |
def parity_group(name: str, local_path: Path, mirrors: dict[str, Path], hf_root: Path) -> dict:
|
| 483 |
local = file_record(local_path, hf_root)
|
| 484 |
mirror_records = {surface: file_record(path, hf_root) for surface, path in mirrors.items()}
|
|
@@ -582,6 +633,8 @@ def build_report(hf_root: Path) -> dict:
|
|
| 582 |
| set(model_output_task_probe_result_files())
|
| 583 |
| set(qwen3_future_task_probe_result_files())
|
| 584 |
| set(qwen3_retrieval_task_probe_result_files())
|
|
|
|
|
|
|
| 585 |
)
|
| 586 |
for filename in result_files:
|
| 587 |
groups.append(
|
|
@@ -602,6 +655,8 @@ def build_report(hf_root: Path) -> dict:
|
|
| 602 |
| set(model_output_task_probe_result_files())
|
| 603 |
| set(qwen3_future_task_probe_result_files())
|
| 604 |
| set(qwen3_retrieval_task_probe_result_files())
|
|
|
|
|
|
|
| 605 |
)
|
| 606 |
for filename in space_result_files:
|
| 607 |
groups.append(
|
|
|
|
| 26 |
"xperience10m_qwen3_omni_v6_sensor_target_probes_a100_20260619T000000Z",
|
| 27 |
"xperience10m_qwen3_omni_v6_interaction_text_task15_a100_20260620T010305Z",
|
| 28 |
]
|
| 29 |
+
COSMOS3_SUPER_RETRIEVAL_TASK_PROBE_RUN_IDS = [
|
| 30 |
+
"xperience10m_cosmos3_super_retrieval_task_probes_a100_textonly_prompatch_v2_20260620",
|
| 31 |
+
]
|
| 32 |
+
COSMOS3_SUPER_FUTURE_TASK_PROBE_RUN_IDS = [
|
| 33 |
+
"xperience10m_cosmos3_super_future_task_probes_a100_textonly_v1_20260620",
|
| 34 |
+
]
|
| 35 |
|
| 36 |
DATA_FILES = [
|
| 37 |
"additional_development_directions.json",
|
|
|
|
| 135 |
"omni/build_128_episode_feature_index.py",
|
| 136 |
"omni/collect_qwen3_future_task_probe_results.sh",
|
| 137 |
"omni/collect_qwen3_retrieval_task_probe_results.sh",
|
| 138 |
+
"omni/collect_cosmos3_super_retrieval_task_probe_results.sh",
|
| 139 |
+
"omni/collect_cosmos3_super_future_task_probe_results.sh",
|
| 140 |
"omni/collect_qwen3_v4_release_artifacts.py",
|
| 141 |
"omni/defer_cosmos3_super_after_qwen_v4.sh",
|
| 142 |
"omni/defer_qwen3_retrieval_after_order_sync.sh",
|
| 143 |
"omni/defer_qwen3_fullparam_after_verified_qwen.sh",
|
| 144 |
"omni/eval_qwen3_omni_future_task_probes.py",
|
| 145 |
"omni/eval_qwen3_omni_retrieval_task_probes.py",
|
| 146 |
+
"omni/eval_cosmos3_super_future_task_probes.py",
|
| 147 |
+
"omni/eval_cosmos3_super_retrieval_task_probes.py",
|
| 148 |
"omni/export_cosmos3_camera_pose_targets.py",
|
| 149 |
"omni/launch_all_task_model_scoring_when_free.sh",
|
| 150 |
"omni/merge_qwen3_omni_future_task_probe_shards.py",
|
| 151 |
"omni/merge_qwen3_omni_retrieval_task_probe_shards.py",
|
| 152 |
+
"omni/merge_cosmos3_super_future_task_probe_shards.py",
|
| 153 |
"omni/pack_cosmos3_super_action_batch.py",
|
| 154 |
"omni/prepare_cosmos3_super_lora_hf_package.py",
|
| 155 |
"omni/prepare_qwen3_lora_hf_package.py",
|
|
|
|
| 158 |
"omni/run_private_gpu_qwen3_v6_repro_smoke.sh",
|
| 159 |
"omni/run_qwen3_omni_future_task_probes_sharded.sh",
|
| 160 |
"omni/run_qwen3_omni_retrieval_task_probes_sharded.sh",
|
| 161 |
+
"omni/run_cosmos3_super_future_task_probes_sharded.sh",
|
| 162 |
+
"omni/run_cosmos3_super_retrieval_task_probes_sharded.sh",
|
| 163 |
"omni/score_existing_model_output_task_probes.py",
|
| 164 |
"omni/score_model_output_probes.py",
|
| 165 |
"omni/run_128_task_baselines.py",
|
|
|
|
| 492 |
return sorted(set(files))
|
| 493 |
|
| 494 |
|
| 495 |
+
def cosmos3_super_retrieval_task_probe_result_files() -> list[str]:
|
| 496 |
+
"""Return public-safe Cosmos3-Super retrieval probe outputs."""
|
| 497 |
+
|
| 498 |
+
files: list[str] = []
|
| 499 |
+
compact_names = {"RUN_REPORT.md", "collection_validation.json", "metrics.json", "server_info.json", "summary.json"}
|
| 500 |
+
for run_id in COSMOS3_SUPER_RETRIEVAL_TASK_PROBE_RUN_IDS:
|
| 501 |
+
result_root = ROOT / "results/omni_finetune" / run_id
|
| 502 |
+
if result_root.exists():
|
| 503 |
+
for path in result_root.rglob("*"):
|
| 504 |
+
if path.is_file() and (path.name in compact_names or path.name.endswith(".progress.jsonl")):
|
| 505 |
+
files.append(path.relative_to(ROOT / "results").as_posix())
|
| 506 |
+
|
| 507 |
+
for suffix in ("launch", "launcher", "runner"):
|
| 508 |
+
launch_log = ROOT / "results/omni_finetune/deferred_launchers" / f"{run_id}.{suffix}.log"
|
| 509 |
+
if launch_log.is_file():
|
| 510 |
+
files.append(launch_log.relative_to(ROOT / "results").as_posix())
|
| 511 |
+
return sorted(set(files))
|
| 512 |
+
|
| 513 |
+
|
| 514 |
+
def cosmos3_super_future_task_probe_result_files() -> list[str]:
|
| 515 |
+
"""Return public-safe Cosmos3-Super future-task probe outputs."""
|
| 516 |
+
|
| 517 |
+
files: list[str] = []
|
| 518 |
+
compact_names = {"RUN_REPORT.md", "collection_validation.json", "metrics.json", "server_info.json", "summary.json"}
|
| 519 |
+
for run_id in COSMOS3_SUPER_FUTURE_TASK_PROBE_RUN_IDS:
|
| 520 |
+
result_root = ROOT / "results/omni_finetune" / run_id
|
| 521 |
+
if result_root.exists():
|
| 522 |
+
for path in result_root.rglob("*"):
|
| 523 |
+
if path.is_file() and (path.name in compact_names or path.name.endswith(".progress.jsonl")):
|
| 524 |
+
files.append(path.relative_to(ROOT / "results").as_posix())
|
| 525 |
+
|
| 526 |
+
for suffix in ("launch", "launcher", "runner"):
|
| 527 |
+
launch_log = ROOT / "results/omni_finetune/deferred_launchers" / f"{run_id}.{suffix}.log"
|
| 528 |
+
if launch_log.is_file():
|
| 529 |
+
files.append(launch_log.relative_to(ROOT / "results").as_posix())
|
| 530 |
+
return sorted(set(files))
|
| 531 |
+
|
| 532 |
+
|
| 533 |
def parity_group(name: str, local_path: Path, mirrors: dict[str, Path], hf_root: Path) -> dict:
|
| 534 |
local = file_record(local_path, hf_root)
|
| 535 |
mirror_records = {surface: file_record(path, hf_root) for surface, path in mirrors.items()}
|
|
|
|
| 633 |
| set(model_output_task_probe_result_files())
|
| 634 |
| set(qwen3_future_task_probe_result_files())
|
| 635 |
| set(qwen3_retrieval_task_probe_result_files())
|
| 636 |
+
| set(cosmos3_super_retrieval_task_probe_result_files())
|
| 637 |
+
| set(cosmos3_super_future_task_probe_result_files())
|
| 638 |
)
|
| 639 |
for filename in result_files:
|
| 640 |
groups.append(
|
|
|
|
| 655 |
| set(model_output_task_probe_result_files())
|
| 656 |
| set(qwen3_future_task_probe_result_files())
|
| 657 |
| set(qwen3_retrieval_task_probe_result_files())
|
| 658 |
+
| set(cosmos3_super_retrieval_task_probe_result_files())
|
| 659 |
+
| set(cosmos3_super_future_task_probe_result_files())
|
| 660 |
)
|
| 661 |
for filename in space_result_files:
|
| 662 |
groups.append(
|
scripts/validate_publication_package.py
CHANGED
|
@@ -383,6 +383,13 @@ def required_assets(root: Path) -> dict[str, bool]:
|
|
| 383 |
"scripts/omni/build_128_episode_feature_index.py",
|
| 384 |
"scripts/omni/build_task_suite_enhancement_128.py",
|
| 385 |
"scripts/omni/collect_qwen3_retrieval_task_probe_results.sh",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 386 |
"scripts/omni/train_qwen3_omni_lora.py",
|
| 387 |
"results/omni_finetune/task_suite_enhancement_128_v1_20260608/enhancement_plan.json",
|
| 388 |
"results/omni_finetune/task_suite_enhancement_128_v1_20260608/ENHANCEMENT_REPORT.md",
|
|
|
|
| 383 |
"scripts/omni/build_128_episode_feature_index.py",
|
| 384 |
"scripts/omni/build_task_suite_enhancement_128.py",
|
| 385 |
"scripts/omni/collect_qwen3_retrieval_task_probe_results.sh",
|
| 386 |
+
"scripts/omni/collect_cosmos3_super_retrieval_task_probe_results.sh",
|
| 387 |
+
"scripts/omni/collect_cosmos3_super_future_task_probe_results.sh",
|
| 388 |
+
"scripts/omni/eval_cosmos3_super_future_task_probes.py",
|
| 389 |
+
"scripts/omni/eval_cosmos3_super_retrieval_task_probes.py",
|
| 390 |
+
"scripts/omni/merge_cosmos3_super_future_task_probe_shards.py",
|
| 391 |
+
"scripts/omni/run_cosmos3_super_future_task_probes_sharded.sh",
|
| 392 |
+
"scripts/omni/run_cosmos3_super_retrieval_task_probes_sharded.sh",
|
| 393 |
"scripts/omni/train_qwen3_omni_lora.py",
|
| 394 |
"results/omni_finetune/task_suite_enhancement_128_v1_20260608/enhancement_plan.json",
|
| 395 |
"results/omni_finetune/task_suite_enhancement_128_v1_20260608/ENHANCEMENT_REPORT.md",
|