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Browse files- TASK_METHOD_20_GAP_AUDIT.md +16 -20
- TASK_METHOD_20_RESULT_MATRIX.md +10 -10
- assets/charts/episode128_task_model_radar.svg +14 -4
- assets/charts/unified_task_model_radar.svg +13 -3
- data/episode128_task_model_radar.json +190 -191
- data/mirror_parity.json +0 -0
- data/public_surface_qa.json +4 -4
- results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/action_object_relation/metrics.json +59 -0
- results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/action_object_relation/per_class_metrics.csv +0 -0
- results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/action_object_relation/predictions.csv +0 -0
- results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/long_horizon_next_action/confusion_matrix.csv +0 -0
- results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/long_horizon_next_action/per_class_metrics.csv +1212 -0
- results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/long_horizon_next_action/predictions.csv +0 -0
- results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/next_subtask_forecast/confusion_matrix.csv +0 -0
- results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/next_subtask_forecast/metrics.json +59 -0
- results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/next_subtask_forecast/per_class_metrics.csv +892 -0
- results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/next_subtask_forecast/predictions.csv +0 -0
- results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/object_relevance/metrics.json +1 -0
- results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/object_set_forecast/metrics.json +50 -0
- results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/object_set_forecast/predictions.csv +0 -0
- results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/time_to_transition/metrics.json +48 -0
- results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/time_to_transition/predictions.csv +0 -0
- scripts/omni/run_128_task_baselines.py +413 -14
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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| --- | --- | --- | --- | --- | --- |
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| Minimal | minimal | 20/20 | 0 | 0 | scored: 20 |
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| Neural MLP | neural_mlp | 20/20 | 0 | 0 | scored: 20 |
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| 128ep Metadata Simple | metadata128_simple |
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| 128ep Metadata NN | metadata128_neural_mlp |
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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 | 15/20 | 5 | 0 | not_evaluated_in_verified_package: 5, scored: 15 |
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| Status | Count | Next step |
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| --- | --- | --- |
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| not_evaluated_in_verified_package | 33 | 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 |
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| unsupported_without_required_target |
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## Scoreless Records
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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 | 128ep Metadata Simple | unsupported | Export the missing target field for this 128-episode method, then rerun the same train/validation/test split. |
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| 05 | Hand Trajectory Forecasting | 128ep Metadata NN | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
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| 05 | Hand Trajectory Forecasting | Qwen3-Omni v6 LoRA | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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@@ -63,38 +66,31 @@ requires a real task target and source artifact.
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| 12 | Multimodal Synchronization Detection | 128ep Metadata NN | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
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| 12 | Multimodal Synchronization Detection | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 12 | Multimodal Synchronization Detection | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 13 | Long-Horizon Next-Action Forecasting | 128ep Metadata
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| 13 | Long-Horizon Next-Action Forecasting | 128ep Metadata NN | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
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| 13 | Long-Horizon Next-Action Forecasting | 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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| 13 | Long-Horizon Next-Action Forecasting | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 70 |
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| 14 | Long-Horizon Next-Subtask Forecasting | 128ep Metadata
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| 14 | Long-Horizon Next-Subtask Forecasting | 128ep Metadata NN | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
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| 14 | Long-Horizon Next-Subtask Forecasting | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 14 | Long-Horizon Next-Subtask Forecasting | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 15 | Interaction Text Prediction | 128ep Metadata Simple |
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| 15 | Interaction Text Prediction | 128ep Metadata NN | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
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| 15 | Interaction Text Prediction | Qwen3-Omni v6 LoRA | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 15 | Interaction Text Prediction | Cosmos3-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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| 16 | Action-Object Relation Prediction | 128ep Metadata
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| 16 | Action-Object Relation Prediction | 128ep Metadata NN | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
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| 16 | Action-Object Relation Prediction | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 17 | Future Object-Set Forecasting | 128ep Metadata Simple | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
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| 17 | Future Object-Set Forecasting | 128ep Metadata NN | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
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| 17 | Future Object-Set Forecasting | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 17 | Future Object-Set Forecasting | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 18 | IMU-to-Hand Pose Reconstruction | 128ep Metadata Simple |
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| 87 |
| 18 | IMU-to-Hand Pose Reconstruction | 128ep Metadata NN | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
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| 88 |
| 18 | IMU-to-Hand Pose Reconstruction | Qwen3-Omni v6 LoRA | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 89 |
| 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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| 90 |
| 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 Metadata Simple |
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| 19 | Camera-View Synchronization Retrieval | 128ep Metadata NN | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
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| 19 | Camera-View Synchronization Retrieval | Qwen3-Omni v6 LoRA | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 94 |
| 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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| 95 |
| 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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| 96 |
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| 20 | Time-to-Next-Transition Regression | 128ep Metadata Simple | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
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| 20 | Time-to-Next-Transition Regression | 128ep Metadata NN | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
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| 20 | Time-to-Next-Transition Regression | 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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| 20 | Time-to-Next-Transition Regression | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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# Task Method 20-Result Gap Audit
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Generated: `2026-06-18T12:07:14+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: `127`
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+
- Scoreless records: `53`
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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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| --- | --- | --- | --- | --- | --- |
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| Minimal | minimal | 20/20 | 0 | 0 | scored: 20 |
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| 22 |
| Neural MLP | neural_mlp | 20/20 | 0 | 0 | scored: 20 |
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+
| 128ep Metadata Simple | metadata128_simple | 13/20 | 7 | 0 | scored: 13, unsupported_without_required_target: 7 |
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| 24 |
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| 128ep Metadata NN | metadata128_neural_mlp | 7/20 | 13 | 0 | not_supported_by_metadata_only_package: 7, scored: 7, unsupported_without_required_target: 6 |
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| 128ep Raw Simple | raw128_simple | 20/20 | 0 | 2 | proxy_scored: 2, scored: 18 |
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| 128ep Raw NN | raw128_neural_mlp | 20/20 | 0 | 2 | proxy_scored: 2, scored: 18 |
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| Qwen3-Omni v6 LoRA | qwen3_omni_v6_lora | 15/20 | 5 | 0 | not_evaluated_in_verified_package: 5, scored: 15 |
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| Status | Count | Next step |
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| --- | --- | --- |
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| not_evaluated_in_verified_package | 33 | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 36 |
+
| not_supported_by_metadata_only_package | 7 | 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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| 37 |
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| unsupported_without_required_target | 13 | Export the missing target field for this 128-episode method, then rerun the same train/validation/test split. |
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## Scoreless Records
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| 40 |
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| 41 |
| Task | Task label | Method | Status | Required evidence |
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| 42 |
| --- | --- | --- | --- | --- |
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| 43 |
+
| 01 | Action Recognition | 128ep Metadata NN | unsupported | Export the missing target field for this 128-episode method, then rerun the same train/validation/test split. |
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| 44 |
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| 02 | Procedure Step Recognition | 128ep Metadata NN | unsupported | Export the missing target field for this 128-episode method, then rerun the same train/validation/test split. |
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| 45 |
| 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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+
| 04 | Next-Action Prediction | 128ep Metadata NN | unsupported | Export the missing target field for this 128-episode method, then rerun the same train/validation/test split. |
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| 05 | Hand Trajectory Forecasting | 128ep Metadata Simple | unsupported | Export the missing target field for this 128-episode method, then rerun the same train/validation/test split. |
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| 48 |
| 05 | Hand Trajectory Forecasting | 128ep Metadata NN | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
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| 49 |
| 05 | Hand Trajectory Forecasting | Qwen3-Omni v6 LoRA | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 66 |
| 12 | Multimodal Synchronization Detection | 128ep Metadata NN | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
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| 67 |
| 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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| 68 |
| 12 | Multimodal Synchronization Detection | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 69 |
+
| 13 | Long-Horizon Next-Action Forecasting | 128ep Metadata NN | unsupported | Export the missing target field for this 128-episode method, then rerun the same train/validation/test split. |
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| 70 |
| 13 | Long-Horizon Next-Action Forecasting | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 71 |
| 13 | Long-Horizon Next-Action Forecasting | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 72 |
+
| 14 | Long-Horizon Next-Subtask Forecasting | 128ep Metadata NN | unsupported | Export the missing target field for this 128-episode method, then rerun the same train/validation/test split. |
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| 73 |
| 14 | Long-Horizon Next-Subtask Forecasting | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 74 |
| 14 | Long-Horizon Next-Subtask Forecasting | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 75 |
+
| 15 | Interaction Text Prediction | 128ep Metadata Simple | unsupported | Export the missing target field for this 128-episode method, then rerun the same train/validation/test split. |
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| 76 |
| 15 | Interaction Text Prediction | 128ep Metadata NN | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
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| 77 |
| 15 | Interaction Text Prediction | Qwen3-Omni v6 LoRA | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 78 |
| 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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| 79 |
| 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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| 80 |
+
| 16 | Action-Object Relation Prediction | 128ep Metadata NN | unsupported | Export the missing target field for this 128-episode method, then rerun the same train/validation/test split. |
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| 81 |
| 16 | Action-Object Relation Prediction | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 82 |
| 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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| 83 |
| 17 | Future Object-Set Forecasting | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 84 |
+
| 18 | IMU-to-Hand Pose Reconstruction | 128ep Metadata Simple | unsupported | Export the missing target field for this 128-episode method, then rerun the same train/validation/test split. |
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| 85 |
| 18 | IMU-to-Hand Pose Reconstruction | 128ep Metadata NN | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
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| 86 |
| 18 | IMU-to-Hand Pose Reconstruction | Qwen3-Omni v6 LoRA | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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| 87 |
| 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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| 88 |
| 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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| 89 |
+
| 19 | Camera-View Synchronization Retrieval | 128ep Metadata Simple | unsupported | Export the missing target field for this 128-episode method, then rerun the same train/validation/test split. |
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| 90 |
| 19 | Camera-View Synchronization Retrieval | 128ep Metadata NN | not supported | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
|
| 91 |
| 19 | Camera-View Synchronization Retrieval | Qwen3-Omni v6 LoRA | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
|
| 92 |
| 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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| 93 |
| 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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| 94 |
| 20 | Time-to-Next-Transition Regression | 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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| 95 |
| 20 | Time-to-Next-Transition Regression | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
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TASK_METHOD_20_RESULT_MATRIX.md
CHANGED
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@@ -8,8 +8,8 @@ Legend: `score` = numeric task score, `proxy` = documented raw128 compact proxy
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| --- | ---: | ---: | ---: | ---: | --- |
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| Minimal | 20 | 20 | 0 | 0 | scored 20 |
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| Neural MLP | 20 | 20 | 0 | 0 | scored 20 |
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| 11 |
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| 128ep Metadata Simple | 20 |
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| 12 |
-
| 128ep Metadata NN | 20 |
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| 13 |
| 128ep Raw Simple | 20 | 20 | 2 | 0 | proxy scored 2, scored 18 |
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| 14 |
| 128ep Raw NN | 20 | 20 | 2 | 0 | proxy scored 2, scored 18 |
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| 15 |
| Qwen3-Omni v6 LoRA | 20 | 15 | 0 | 5 | not evaluated 5, scored 15 |
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@@ -30,13 +30,13 @@ Legend: `score` = numeric task score, `proxy` = documented raw128 compact proxy
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| 10 | Cross-Modal Reconstruction | score | score | unsupported | not supported | score | score | not evaluated | not evaluated | not evaluated |
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| 31 |
| 11 | Temporal Order Verification | score | score | score | score | score | score | score | not evaluated | not evaluated |
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| 32 |
| 12 | Multimodal Synchronization Detection | score | score | unsupported | not supported | score | score | score | not evaluated | not evaluated |
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| 33 |
-
| 13 | Long-Horizon Next-Action Forecasting | score | score |
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| 34 |
-
| 14 | Long-Horizon Next-Subtask Forecasting | score | score |
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| 35 |
-
| 15 | Interaction Text Prediction | score | score |
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| 36 |
-
| 16 | Action-Object Relation Prediction | score | score |
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| 37 |
-
| 17 | Future Object-Set Forecasting | score | score |
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| 38 |
-
| 18 | IMU-to-Hand Pose Reconstruction | score | score |
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| 39 |
-
| 19 | Camera-View Synchronization Retrieval | score | score |
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| 40 |
-
| 20 | Time-to-Next-Transition Regression | score | score |
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| 41 |
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| 42 |
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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|
| 8 |
| --- | ---: | ---: | ---: | ---: | --- |
|
| 9 |
| Minimal | 20 | 20 | 0 | 0 | scored 20 |
|
| 10 |
| Neural MLP | 20 | 20 | 0 | 0 | scored 20 |
|
| 11 |
+
| 128ep Metadata Simple | 20 | 13 | 0 | 7 | scored 13, unsupported 7 |
|
| 12 |
+
| 128ep Metadata NN | 20 | 13 | 0 | 7 | not supported 7, scored 13 |
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| 13 |
| 128ep Raw Simple | 20 | 20 | 2 | 0 | proxy scored 2, scored 18 |
|
| 14 |
| 128ep Raw NN | 20 | 20 | 2 | 0 | proxy scored 2, scored 18 |
|
| 15 |
| Qwen3-Omni v6 LoRA | 20 | 15 | 0 | 5 | not evaluated 5, scored 15 |
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|
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|
| 30 |
| 10 | Cross-Modal Reconstruction | score | score | unsupported | not supported | score | score | not evaluated | not evaluated | not evaluated |
|
| 31 |
| 11 | Temporal Order Verification | score | score | score | score | score | score | score | not evaluated | not evaluated |
|
| 32 |
| 12 | Multimodal Synchronization Detection | score | score | unsupported | not supported | score | score | score | not evaluated | not evaluated |
|
| 33 |
+
| 13 | Long-Horizon Next-Action Forecasting | score | score | score | score | score | score | score | not evaluated | not evaluated |
|
| 34 |
+
| 14 | Long-Horizon Next-Subtask Forecasting | score | score | score | score | score | score | score | not evaluated | not evaluated |
|
| 35 |
+
| 15 | Interaction Text Prediction | score | score | unsupported | not supported | proxy | proxy | not evaluated | not evaluated | not evaluated |
|
| 36 |
+
| 16 | Action-Object Relation Prediction | score | score | score | score | score | score | score | score | not evaluated |
|
| 37 |
+
| 17 | Future Object-Set Forecasting | score | score | score | score | score | score | score | not evaluated | not evaluated |
|
| 38 |
+
| 18 | IMU-to-Hand Pose Reconstruction | score | score | unsupported | not supported | score | score | not evaluated | not evaluated | not evaluated |
|
| 39 |
+
| 19 | Camera-View Synchronization Retrieval | score | score | unsupported | not supported | proxy | proxy | not evaluated | not evaluated | not evaluated |
|
| 40 |
+
| 20 | Time-to-Next-Transition Regression | score | score | score | score | score | score | score | not evaluated | not evaluated |
|
| 41 |
|
| 42 |
Sources and raw values are in `docs/data/task_method_20_result_matrix.json` and `docs/data/unified_task_model_radar.json`.
|
assets/charts/episode128_task_model_radar.svg
CHANGED
|
|
assets/charts/unified_task_model_radar.svg
CHANGED
|
|
data/episode128_task_model_radar.json
CHANGED
|
@@ -1,12 +1,12 @@
|
|
| 1 |
{
|
| 2 |
"title": "128-Episode 20-Task Radar",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"description": "Selected 128-episode metadata/raw baselines plus verified Qwen3/Cosmos branches. Every method has 20 records; numeric scores appear only where the public artifact produced that task target.",
|
| 6 |
"task_count": 20,
|
| 7 |
"method_count": 7,
|
| 8 |
"method_task_record_count": 140,
|
| 9 |
-
"scored_method_task_count":
|
| 10 |
"normalization_policy": {
|
| 11 |
"higher_is_better": "bounded metrics are plotted directly on 0-1 axes after clipping to [0, 1]",
|
| 12 |
"lower_is_better": "lower-error metrics are converted to best_observed_value / raw_value within the same task",
|
|
@@ -30,18 +30,17 @@
|
|
| 30 |
"method_detail": "128-episode JSONL metadata/text simple baselines.",
|
| 31 |
"plotted_as": "colored point overlay",
|
| 32 |
"result_record_count": 20,
|
| 33 |
-
"scored_task_count":
|
| 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 |
"status_counts": {
|
| 40 |
-
"
|
| 41 |
-
"
|
| 42 |
-
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|
| 43 |
},
|
| 44 |
-
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|
| 45 |
"result_record_fraction": 1.0
|
| 46 |
},
|
| 47 |
{
|
|
@@ -55,17 +54,17 @@
|
|
| 55 |
"method_detail": "128-episode JSONL metadata/text MLP baselines.",
|
| 56 |
"plotted_as": "colored point overlay",
|
| 57 |
"result_record_count": 20,
|
| 58 |
-
"scored_task_count":
|
| 59 |
-
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|
| 60 |
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|
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|
| 64 |
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|
| 65 |
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|
| 66 |
-
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|
| 67 |
},
|
| 68 |
-
"coverage_fraction": 0.
|
| 69 |
"result_record_fraction": 1.0
|
| 70 |
},
|
| 71 |
{
|
|
@@ -1295,26 +1294,26 @@
|
|
| 1295 |
"raw128_proxy_axis": false,
|
| 1296 |
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|
| 1297 |
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|
| 1298 |
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|
| 1299 |
"metric_key": "macro_f1",
|
| 1300 |
-
"source":
|
| 1301 |
"scope": "multi_episode_128_metadata_baseline",
|
| 1302 |
-
"status": "
|
| 1303 |
-
"reason":
|
| 1304 |
-
"normalized_score":
|
| 1305 |
-
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|
| 1306 |
-
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|
| 1307 |
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|
| 1308 |
"metadata128_neural_mlp": {
|
| 1309 |
-
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|
| 1310 |
"metric_key": "macro_f1",
|
| 1311 |
-
"source":
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| 1312 |
"scope": "multi_episode_128_metadata_baseline",
|
| 1313 |
-
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|
| 1314 |
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|
| 1315 |
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| 1316 |
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|
| 1317 |
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|
| 1318 |
},
|
| 1319 |
"raw128_simple": {
|
| 1320 |
"raw": 0.0024280172369056294,
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|
@@ -1386,26 +1385,26 @@
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|
| 1386 |
"raw128_proxy_axis": false,
|
| 1387 |
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| 1388 |
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| 1389 |
-
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| 1390 |
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| 1391 |
-
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| 1392 |
"scope": "multi_episode_128_metadata_baseline",
|
| 1393 |
-
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| 1394 |
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|
| 1395 |
-
"normalized_score":
|
| 1396 |
-
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|
| 1397 |
-
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|
| 1398 |
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|
| 1399 |
"metadata128_neural_mlp": {
|
| 1400 |
-
"raw":
|
| 1401 |
"metric_key": "macro_f1",
|
| 1402 |
-
"source":
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| 1403 |
"scope": "multi_episode_128_metadata_baseline",
|
| 1404 |
-
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| 1405 |
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| 1406 |
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|
| 1409 |
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| 1410 |
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| 1411 |
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@@ -1479,13 +1478,13 @@
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| 1479 |
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|
| 1480 |
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|
| 1481 |
"metric_key": "macro_f1",
|
| 1482 |
-
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| 1483 |
"scope": "multi_episode_128_metadata_baseline",
|
| 1484 |
-
"status": "
|
| 1485 |
-
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|
| 1486 |
"normalized_score": null,
|
| 1487 |
"raw_text": "n/a",
|
| 1488 |
-
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|
| 1489 |
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|
| 1490 |
"metadata128_neural_mlp": {
|
| 1491 |
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|
@@ -1568,26 +1567,26 @@
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|
| 1568 |
"raw128_proxy_axis": false,
|
| 1569 |
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| 1570 |
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| 1571 |
-
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| 1574 |
"scope": "multi_episode_128_metadata_baseline",
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| 1575 |
-
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| 1576 |
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| 1577 |
-
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|
| 1578 |
-
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|
| 1579 |
-
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|
| 1580 |
},
|
| 1581 |
"metadata128_neural_mlp": {
|
| 1582 |
-
"raw":
|
| 1583 |
"metric_key": "macro_f1",
|
| 1584 |
-
"source":
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| 1585 |
"scope": "multi_episode_128_metadata_baseline",
|
| 1586 |
-
"status": "
|
| 1587 |
-
"reason":
|
| 1588 |
-
"normalized_score":
|
| 1589 |
-
"raw_text": "
|
| 1590 |
-
"status_label": "
|
| 1591 |
},
|
| 1592 |
"raw128_simple": {
|
| 1593 |
"raw": 0.0,
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|
@@ -1659,26 +1658,26 @@
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|
| 1659 |
"raw128_proxy_axis": false,
|
| 1660 |
"values": {
|
| 1661 |
"metadata128_simple": {
|
| 1662 |
-
"raw":
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| 1663 |
"metric_key": "micro_f1",
|
| 1664 |
-
"source":
|
| 1665 |
"scope": "multi_episode_128_metadata_baseline",
|
| 1666 |
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"status": "
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| 1667 |
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| 1668 |
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"normalized_score":
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| 1669 |
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"raw_text": "
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| 1670 |
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| 1671 |
},
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| 1672 |
"metadata128_neural_mlp": {
|
| 1673 |
-
"raw":
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| 1674 |
"metric_key": "micro_f1",
|
| 1675 |
-
"source":
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| 1676 |
"scope": "multi_episode_128_metadata_baseline",
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| 1677 |
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| 1678 |
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| 1679 |
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"normalized_score":
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| 1680 |
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| 1681 |
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| 1682 |
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| 1683 |
"raw128_simple": {
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| 1684 |
"raw": 0.06469493412657774,
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|
@@ -1752,13 +1751,13 @@
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|
| 1752 |
"metadata128_simple": {
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| 1753 |
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| 1754 |
"metric_key": "mae",
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| 1755 |
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| 1756 |
"scope": "multi_episode_128_metadata_baseline",
|
| 1757 |
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|
| 1758 |
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| 1759 |
"normalized_score": null,
|
| 1760 |
"raw_text": "n/a",
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| 1762 |
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|
| 1763 |
"metadata128_neural_mlp": {
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| 1764 |
"raw": null,
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@@ -1843,13 +1842,13 @@
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|
| 1843 |
"metadata128_simple": {
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| 1844 |
"raw": null,
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| 1845 |
"metric_key": "mrr",
|
| 1846 |
-
"source":
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| 1847 |
"scope": "multi_episode_128_metadata_baseline",
|
| 1848 |
-
"status": "
|
| 1849 |
-
"reason": "
|
| 1850 |
"normalized_score": null,
|
| 1851 |
"raw_text": "n/a",
|
| 1852 |
-
"status_label": "
|
| 1853 |
},
|
| 1854 |
"metadata128_neural_mlp": {
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| 1855 |
"raw": null,
|
|
@@ -1932,26 +1931,26 @@
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|
| 1932 |
"raw128_proxy_axis": false,
|
| 1933 |
"values": {
|
| 1934 |
"metadata128_simple": {
|
| 1935 |
-
"raw":
|
| 1936 |
"metric_key": "mae",
|
| 1937 |
-
"source":
|
| 1938 |
"scope": "multi_episode_128_metadata_baseline",
|
| 1939 |
-
"status": "
|
| 1940 |
-
"reason":
|
| 1941 |
-
"normalized_score":
|
| 1942 |
-
"raw_text": "
|
| 1943 |
-
"status_label": "
|
| 1944 |
},
|
| 1945 |
"metadata128_neural_mlp": {
|
| 1946 |
-
"raw":
|
| 1947 |
"metric_key": "mae",
|
| 1948 |
-
"source":
|
| 1949 |
"scope": "multi_episode_128_metadata_baseline",
|
| 1950 |
-
"status": "
|
| 1951 |
-
"reason":
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| 1952 |
-
"normalized_score":
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| 1953 |
-
"raw_text": "
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| 1955 |
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| 1956 |
"raw128_simple": {
|
| 1957 |
"raw": 52.32759475708008,
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|
@@ -3530,17 +3529,17 @@
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|
| 3530 |
"task_label": "Long-Horizon Next-Action Forecasting",
|
| 3531 |
"series_id": "metadata128_simple",
|
| 3532 |
"method": "128ep Metadata Simple",
|
| 3533 |
-
"status": "
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| 3534 |
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| 3535 |
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"scored":
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| 3540 |
"metric_key": "macro_f1",
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| 3541 |
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| 3542 |
"scope": "multi_episode_128_metadata_baseline",
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| 3543 |
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| 3544 |
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| 3545 |
{
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| 3546 |
"task_number": 13,
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@@ -3548,17 +3547,17 @@
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| 3548 |
"task_label": "Long-Horizon Next-Action Forecasting",
|
| 3549 |
"series_id": "metadata128_neural_mlp",
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| 3550 |
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| 3560 |
"scope": "multi_episode_128_metadata_baseline",
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| 3561 |
-
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| 3562 |
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| 3563 |
{
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| 3564 |
"task_number": 13,
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|
@@ -3656,17 +3655,17 @@
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| 3656 |
"task_label": "Long-Horizon Next-Subtask Forecasting",
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| 3657 |
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| 3658 |
"method": "128ep Metadata Simple",
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| 3669 |
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| 3670 |
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| 3671 |
{
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| 3672 |
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|
@@ -3674,17 +3673,17 @@
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| 3674 |
"task_label": "Long-Horizon Next-Subtask Forecasting",
|
| 3675 |
"series_id": "metadata128_neural_mlp",
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| 3676 |
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| 3677 |
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| 3687 |
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| 3688 |
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| 3689 |
{
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| 3690 |
"task_number": 14,
|
|
@@ -3782,17 +3781,17 @@
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|
| 3782 |
"task_label": "Interaction Text Prediction",
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| 3783 |
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| 3784 |
"method": "128ep Metadata Simple",
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| 3792 |
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| 3793 |
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| 3794 |
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|
| 3795 |
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"reason": "
|
| 3796 |
},
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| 3797 |
{
|
| 3798 |
"task_number": 15,
|
|
@@ -3908,17 +3907,17 @@
|
|
| 3908 |
"task_label": "Action-Object Relation Prediction",
|
| 3909 |
"series_id": "metadata128_simple",
|
| 3910 |
"method": "128ep Metadata Simple",
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| 3911 |
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| 3913 |
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| 3919 |
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| 3920 |
"scope": "multi_episode_128_metadata_baseline",
|
| 3921 |
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| 3922 |
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| 3923 |
{
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| 3924 |
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|
@@ -3926,17 +3925,17 @@
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|
| 3926 |
"task_label": "Action-Object Relation Prediction",
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| 3927 |
"series_id": "metadata128_neural_mlp",
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| 3928 |
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| 3939 |
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| 3940 |
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| 3941 |
{
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| 3942 |
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|
@@ -4034,17 +4033,17 @@
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|
| 4034 |
"task_label": "Future Object-Set Forecasting",
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| 4035 |
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| 4047 |
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| 4048 |
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| 4049 |
{
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| 4050 |
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@@ -4052,17 +4051,17 @@
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| 4052 |
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| 4065 |
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| 4066 |
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| 4067 |
{
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| 4068 |
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|
|
@@ -4160,17 +4159,17 @@
|
|
| 4160 |
"task_label": "IMU-to-Hand Pose Reconstruction",
|
| 4161 |
"series_id": "metadata128_simple",
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| 4162 |
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| 4174 |
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@@ -4286,17 +4285,17 @@
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| 4300 |
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@@ -4412,17 +4411,17 @@
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| 4413 |
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@@ -4430,17 +4429,17 @@
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| 4033 |
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| 4160 |
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| 4171 |
"scope": "multi_episode_128_metadata_baseline",
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| 4172 |
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| 4173 |
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| 4174 |
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| 4175 |
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| 4285 |
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| 4286 |
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| 4297 |
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| 4298 |
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"reason": "requires paired camera-view feature blocks, which are not in the public 128 JSONL metadata package"
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| 4299 |
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| 4300 |
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| 4301 |
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| 4411 |
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| 4412 |
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| 4413 |
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| 4429 |
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| 4430 |
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| 4441 |
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| 4444 |
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| 4445 |
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data/mirror_parity.json
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The diff for this file is too large to render.
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data/public_surface_qa.json
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results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/action_object_relation/metrics.json
ADDED
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@@ -0,0 +1,59 @@
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| 1 |
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{
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| 2 |
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| 3 |
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| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 13 |
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| 16 |
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| 31 |
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| 36 |
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| 48 |
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| 49 |
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| 55 |
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| 56 |
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"primary_score": 0.0
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results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/action_object_relation/per_class_metrics.csv
ADDED
|
The diff for this file is too large to render.
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|
|
|
results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/action_object_relation/predictions.csv
ADDED
|
The diff for this file is too large to render.
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|
|
|
results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/long_horizon_next_action/confusion_matrix.csv
ADDED
|
The diff for this file is too large to render.
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|
|
|
results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/long_horizon_next_action/per_class_metrics.csv
ADDED
|
@@ -0,0 +1,1212 @@
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|
|
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|
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|
|
|
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|
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|
|
|
|
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|
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|
|
|
|
|
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|
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|
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|
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|
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|
| 1 |
+
class_id,class_name,support,predicted,precision,recall,f1
|
| 2 |
+
0,Place jar on shelf,0,0,0.0,0.0,0.0
|
| 3 |
+
1,Reach for item in box,0,0,0.0,0.0,0.0
|
| 4 |
+
2,Pick up product from box,0,3,0.0,0.0,0.0
|
| 5 |
+
3,Place product on shelf,0,288,0.0,0.0,0.0
|
| 6 |
+
4,Pick up product from bin,0,0,0.0,0.0,0.0
|
| 7 |
+
5,Reach for next product,0,5,0.0,0.0,0.0
|
| 8 |
+
6,Place canned product on shelf,0,0,0.0,0.0,0.0
|
| 9 |
+
7,Pick up canned product,0,15,0.0,0.0,0.0
|
| 10 |
+
8,Arrange canned products on shelf,0,0,0.0,0.0,0.0
|
| 11 |
+
9,Move bin to shelf area,0,0,0.0,0.0,0.0
|
| 12 |
+
10,Place can on shelf,20,2,0.0,0.0,0.0
|
| 13 |
+
11,Retract hand,0,0,0.0,0.0,0.0
|
| 14 |
+
12,Hold and wipe product,0,0,0.0,0.0,0.0
|
| 15 |
+
13,Wipe down shelf,0,0,0.0,0.0,0.0
|
| 16 |
+
14,Pick up product,0,6,0.0,0.0,0.0
|
| 17 |
+
15,Wipe product,0,1,0.0,0.0,0.0
|
| 18 |
+
16,Wipe food product,0,1,0.0,0.0,0.0
|
| 19 |
+
17,Reach into box,9,31,0.0,0.0,0.0
|
| 20 |
+
18,Wipe jar,0,0,0.0,0.0,0.0
|
| 21 |
+
19,Wipe shelf,0,0,0.0,0.0,0.0
|
| 22 |
+
20,Hold pickle jar,0,0,0.0,0.0,0.0
|
| 23 |
+
21,Release pickle jar,0,1,0.0,0.0,0.0
|
| 24 |
+
22,Hold cleaning cloth,0,0,0.0,0.0,0.0
|
| 25 |
+
23,Wipe the shelf,0,9,0.0,0.0,0.0
|
| 26 |
+
24,Wipe the product jar,0,0,0.0,0.0,0.0
|
| 27 |
+
25,Move to next section,0,0,0.0,0.0,0.0
|
| 28 |
+
26,Place product in box,0,0,0.0,0.0,0.0
|
| 29 |
+
27,Hold product,0,6,0.0,0.0,0.0
|
| 30 |
+
28,Hold item and adjust posture,0,3,0.0,0.0,0.0
|
| 31 |
+
29,Grasp product from box,0,0,0.0,0.0,0.0
|
| 32 |
+
30,Prepare to place product,0,0,0.0,0.0,0.0
|
| 33 |
+
31,Move product to shelf,0,0,0.0,0.0,0.0
|
| 34 |
+
32,Move product to box,0,8,0.0,0.0,0.0
|
| 35 |
+
33,Grasp next item,0,0,0.0,0.0,0.0
|
| 36 |
+
34,Align button in row,0,0,0.0,0.0,0.0
|
| 37 |
+
35,Pick up button,9,0,0.0,0.0,0.0
|
| 38 |
+
36,Place button in row,0,0,0.0,0.0,0.0
|
| 39 |
+
37,Align button,0,0,0.0,0.0,0.0
|
| 40 |
+
38,Arrange button cluster,0,0,0.0,0.0,0.0
|
| 41 |
+
39,Align button row,0,0,0.0,0.0,0.0
|
| 42 |
+
40,Arrange buttons on table,0,0,0.0,0.0,0.0
|
| 43 |
+
41,Adjust red button in row,0,0,0.0,0.0,0.0
|
| 44 |
+
42,Select button from pile,0,0,0.0,0.0,0.0
|
| 45 |
+
43,Adjust red button,0,0,0.0,0.0,0.0
|
| 46 |
+
44,Pull back hand,0,0,0.0,0.0,0.0
|
| 47 |
+
45,Survey the table,0,0,0.0,0.0,0.0
|
| 48 |
+
46,Arrange black buttons,0,0,0.0,0.0,0.0
|
| 49 |
+
47,Pick up black button,0,0,0.0,0.0,0.0
|
| 50 |
+
48,Move black button,0,0,0.0,0.0,0.0
|
| 51 |
+
49,Pick up red button,0,0,0.0,0.0,0.0
|
| 52 |
+
50,Reach for multicolored buttons,0,0,0.0,0.0,0.0
|
| 53 |
+
51,Arrange buttons in row,0,0,0.0,0.0,0.0
|
| 54 |
+
52,Touch device,0,0,0.0,0.0,0.0
|
| 55 |
+
53,Align red button in row,0,0,0.0,0.0,0.0
|
| 56 |
+
54,Reach and sort buttons,0,0,0.0,0.0,0.0
|
| 57 |
+
55,Reach for button,0,0,0.0,0.0,0.0
|
| 58 |
+
56,Place button,31,0,0.0,0.0,0.0
|
| 59 |
+
57,Cut cardboard piece,40,69,0.028985507246376812,0.05,0.03669724770642201
|
| 60 |
+
58,Manipulate cardboard piece,0,0,0.0,0.0,0.0
|
| 61 |
+
59,Position scissors to cut cardboard,0,0,0.0,0.0,0.0
|
| 62 |
+
60,Cut cardboard,174,390,0.046153846153846156,0.10344827586206896,0.06382978723404256
|
| 63 |
+
61,Release scissors,4,0,0.0,0.0,0.0
|
| 64 |
+
62,Position scissors,0,0,0.0,0.0,0.0
|
| 65 |
+
63,Pick up scissors,0,12,0.0,0.0,0.0
|
| 66 |
+
64,Move away from workstation,0,10,0.0,0.0,0.0
|
| 67 |
+
65,Walk through corridor,0,0,0.0,0.0,0.0
|
| 68 |
+
66,Mark cardboard with ruler and pen,0,0,0.0,0.0,0.0
|
| 69 |
+
67,Mark cardboard with pen and ruler,0,0,0.0,0.0,0.0
|
| 70 |
+
68,Cut cardboard with scissors,0,2,0.0,0.0,0.0
|
| 71 |
+
69,Place down scissors,0,4,0.0,0.0,0.0
|
| 72 |
+
70,Position ruler on cardboard,0,0,0.0,0.0,0.0
|
| 73 |
+
71,Hold ruler steady,0,0,0.0,0.0,0.0
|
| 74 |
+
72,Mark line on cardboard,0,0,0.0,0.0,0.0
|
| 75 |
+
73,Move marker and ruler,0,0,0.0,0.0,0.0
|
| 76 |
+
74,Pick up smartphone,6,0,0.0,0.0,0.0
|
| 77 |
+
75,Mark cardboard,0,13,0.0,0.0,0.0
|
| 78 |
+
76,Hold cardboard pieces,0,8,0.0,0.0,0.0
|
| 79 |
+
77,Place cardboard,0,0,0.0,0.0,0.0
|
| 80 |
+
78,Align ruler on cardboard,0,0,0.0,0.0,0.0
|
| 81 |
+
79,Mark cardboard with pen,0,6,0.0,0.0,0.0
|
| 82 |
+
80,Plug cable into portable charger,0,0,0.0,0.0,0.0
|
| 83 |
+
81,Pick up portable charger,0,0,0.0,0.0,0.0
|
| 84 |
+
82,Walk towards room,0,0,0.0,0.0,0.0
|
| 85 |
+
83,Hold portable charger,0,0,0.0,0.0,0.0
|
| 86 |
+
84,Place charger on table,0,0,0.0,0.0,0.0
|
| 87 |
+
85,Hold charger and cable,0,0,0.0,0.0,0.0
|
| 88 |
+
86,Manipulate power cable plug,0,0,0.0,0.0,0.0
|
| 89 |
+
87,Insert plug into power adapter,0,0,0.0,0.0,0.0
|
| 90 |
+
88,Hold power adapter,0,0,0.0,0.0,0.0
|
| 91 |
+
89,Align charging cable,0,0,0.0,0.0,0.0
|
| 92 |
+
90,Insert charging cable,0,0,0.0,0.0,0.0
|
| 93 |
+
91,Observe desktop layout,0,0,0.0,0.0,0.0
|
| 94 |
+
92,Retract camera/reposition view,0,0,0.0,0.0,0.0
|
| 95 |
+
93,Manipulate paper strip,152,4,0.25,0.006578947368421052,0.012820512820512818
|
| 96 |
+
94,Fold paper strip,0,0,0.0,0.0,0.0
|
| 97 |
+
95,Pick up yellow paper strip,0,0,0.0,0.0,0.0
|
| 98 |
+
96,Pick up phone,0,0,0.0,0.0,0.0
|
| 99 |
+
97,Use phone,31,4,0.0,0.0,0.0
|
| 100 |
+
98,Place phone on desk,0,31,0.0,0.0,0.0
|
| 101 |
+
99,Interact with phone,0,0,0.0,0.0,0.0
|
| 102 |
+
100,Place phone down,11,1,0.0,0.0,0.0
|
| 103 |
+
101,Adjust paper strip,0,0,0.0,0.0,0.0
|
| 104 |
+
102,Release folded paper,0,0,0.0,0.0,0.0
|
| 105 |
+
103,Fold paper strip into knot,0,0,0.0,0.0,0.0
|
| 106 |
+
104,Fold paper strip into lucky star,0,0,0.0,0.0,0.0
|
| 107 |
+
105,Inflate paper star,0,0,0.0,0.0,0.0
|
| 108 |
+
106,Fold purple paper strip,0,0,0.0,0.0,0.0
|
| 109 |
+
107,Fold purple paper,0,2,0.0,0.0,0.0
|
| 110 |
+
108,Hold and crease purple paper,0,0,0.0,0.0,0.0
|
| 111 |
+
109,Release paper,0,0,0.0,0.0,0.0
|
| 112 |
+
110,Reach for phone,0,0,0.0,0.0,0.0
|
| 113 |
+
111,Retrieve paper strips,0,0,0.0,0.0,0.0
|
| 114 |
+
112,Fold and organize paper strips,0,0,0.0,0.0,0.0
|
| 115 |
+
113,Hold charger,0,0,0.0,0.0,0.0
|
| 116 |
+
114,Separate cardboard piece,0,0,0.0,0.0,0.0
|
| 117 |
+
115,Cut cardboard with utility knife,0,25,0.0,0.0,0.0
|
| 118 |
+
116,Mark cardboard piece,85,25,0.08,0.023529411764705882,0.03636363636363636
|
| 119 |
+
117,Retract hand from bag,0,0,0.0,0.0,0.0
|
| 120 |
+
118,Open small case,0,12,0.0,0.0,0.0
|
| 121 |
+
119,Measure cardboard with ruler,0,0,0.0,0.0,0.0
|
| 122 |
+
120,Move smartphone,28,0,0.0,0.0,0.0
|
| 123 |
+
121,Hold ruler on cardboard,0,0,0.0,0.0,0.0
|
| 124 |
+
122,Remove ruler,0,0,0.0,0.0,0.0
|
| 125 |
+
123,Walk towards table,0,12,0.0,0.0,0.0
|
| 126 |
+
124,Approach desk,0,0,0.0,0.0,0.0
|
| 127 |
+
125,Position hands for work,0,2,0.0,0.0,0.0
|
| 128 |
+
126,Manipulate quilling strip,0,0,0.0,0.0,0.0
|
| 129 |
+
127,Release quilling strip,0,6,0.0,0.0,0.0
|
| 130 |
+
128,Release paper strip,35,16,0.0,0.0,0.0
|
| 131 |
+
129,Begin rolling quilling strip,0,0,0.0,0.0,0.0
|
| 132 |
+
130,Type on smartphone,0,0,0.0,0.0,0.0
|
| 133 |
+
131,Use phone to check stock,0,0,0.0,0.0,0.0
|
| 134 |
+
132,Grasp package,0,0,0.0,0.0,0.0
|
| 135 |
+
133,Place item on shelf,23,111,0.0,0.0,0.0
|
| 136 |
+
134,Observe shelf status,0,0,0.0,0.0,0.0
|
| 137 |
+
135,Walk towards aisle,0,0,0.0,0.0,0.0
|
| 138 |
+
136,Move towards shelf,0,57,0.0,0.0,0.0
|
| 139 |
+
137,Adjust item on shelf,26,2,0.0,0.0,0.0
|
| 140 |
+
138,Reach for another item,18,0,0.0,0.0,0.0
|
| 141 |
+
139,Remove item from shelf,0,0,0.0,0.0,0.0
|
| 142 |
+
140,Discard item into bin,0,0,0.0,0.0,0.0
|
| 143 |
+
141,Sweep debris,0,0,0.0,0.0,0.0
|
| 144 |
+
142,Touch shelf edge,0,0,0.0,0.0,0.0
|
| 145 |
+
143,Reach for product,0,31,0.0,0.0,0.0
|
| 146 |
+
144,Release label,0,0,0.0,0.0,0.0
|
| 147 |
+
145,Remove shelf label,0,20,0.0,0.0,0.0
|
| 148 |
+
146,Move along shelf,0,0,0.0,0.0,0.0
|
| 149 |
+
147,Carry stool to next shelf,0,0,0.0,0.0,0.0
|
| 150 |
+
148,Place stool on floor,0,0,0.0,0.0,0.0
|
| 151 |
+
149,Observe shelf,0,0,0.0,0.0,0.0
|
| 152 |
+
150,Walk towards next aisle,0,0,0.0,0.0,0.0
|
| 153 |
+
151,Reach for product labels,0,1,0.0,0.0,0.0
|
| 154 |
+
152,Hold product labels,0,0,0.0,0.0,0.0
|
| 155 |
+
153,Examine labels,0,0,0.0,0.0,0.0
|
| 156 |
+
154,Place sauce in container,0,0,0.0,0.0,0.0
|
| 157 |
+
155,Pick up supplement bottle,0,1,0.0,0.0,0.0
|
| 158 |
+
156,Hold supplement bottle,0,0,0.0,0.0,0.0
|
| 159 |
+
157,Open supplement bottle,0,0,0.0,0.0,0.0
|
| 160 |
+
158,Walk through store,0,0,0.0,0.0,0.0
|
| 161 |
+
159,Reach for item on shelf,0,0,0.0,0.0,0.0
|
| 162 |
+
160,Examine item,0,0,0.0,0.0,0.0
|
| 163 |
+
161,Place item in container,0,0,0.0,0.0,0.0
|
| 164 |
+
162,Pick up another item,0,0,0.0,0.0,0.0
|
| 165 |
+
163,Pick up oil bottle,0,0,0.0,0.0,0.0
|
| 166 |
+
164,Place oil in container,0,0,0.0,0.0,0.0
|
| 167 |
+
165,Inspect supplement bottle,0,0,0.0,0.0,0.0
|
| 168 |
+
166,Place supplement bottle in container,0,0,0.0,0.0,0.0
|
| 169 |
+
167,Pick up spice jar,0,0,0.0,0.0,0.0
|
| 170 |
+
168,Place spice jar in container,0,0,0.0,0.0,0.0
|
| 171 |
+
169,Sort beads,16,16,0.0,0.0,0.0
|
| 172 |
+
170,Adjust hand position,0,0,0.0,0.0,0.0
|
| 173 |
+
171,Arrange star-shaped beads,0,0,0.0,0.0,0.0
|
| 174 |
+
172,Move pen,0,0,0.0,0.0,0.0
|
| 175 |
+
173,Sort beads by color,0,135,0.0,0.0,0.0
|
| 176 |
+
174,Move towards table,0,0,0.0,0.0,0.0
|
| 177 |
+
175,Observe room,0,0,0.0,0.0,0.0
|
| 178 |
+
176,Check watch,0,0,0.0,0.0,0.0
|
| 179 |
+
177,Prepare to sort beads,0,1,0.0,0.0,0.0
|
| 180 |
+
178,Align ruler,0,0,0.0,0.0,0.0
|
| 181 |
+
179,Adjust grip,0,0,0.0,0.0,0.0
|
| 182 |
+
180,Move ruler,0,0,0.0,0.0,0.0
|
| 183 |
+
181,Adjust ruler position,0,2,0.0,0.0,0.0
|
| 184 |
+
182,Mark cardboard with marker,0,0,0.0,0.0,0.0
|
| 185 |
+
183,Draw lines on cardboard,0,0,0.0,0.0,0.0
|
| 186 |
+
184,Drawing lines on cardboard,0,0,0.0,0.0,0.0
|
| 187 |
+
185,Reposition marker,0,0,0.0,0.0,0.0
|
| 188 |
+
186,Mark lines with marker,0,0,0.0,0.0,0.0
|
| 189 |
+
187,Position the ruler,0,0,0.0,0.0,0.0
|
| 190 |
+
188,Stack cardboard pieces,0,0,0.0,0.0,0.0
|
| 191 |
+
189,Walking in the workspace,0,0,0.0,0.0,0.0
|
| 192 |
+
190,Insert charging cable into power bank,0,0,0.0,0.0,0.0
|
| 193 |
+
191,Manipulate and inspect colorful pieces,0,0,0.0,0.0,0.0
|
| 194 |
+
192,Manipulate colorful pieces,0,0,0.0,0.0,0.0
|
| 195 |
+
193,Sort colorful pieces,0,0,0.0,0.0,0.0
|
| 196 |
+
194,Hold power bank and cable,0,0,0.0,0.0,0.0
|
| 197 |
+
195,Touch pieces in box,0,0,0.0,0.0,0.0
|
| 198 |
+
196,Hold small white box,0,0,0.0,0.0,0.0
|
| 199 |
+
197,Place white box on table,0,0,0.0,0.0,0.0
|
| 200 |
+
198,Adjust smartphone and sort pieces,0,0,0.0,0.0,0.0
|
| 201 |
+
199,Sort small colorful pieces,0,0,0.0,0.0,0.0
|
| 202 |
+
200,Sorting colorful paper pieces,0,0,0.0,0.0,0.0
|
| 203 |
+
201,Use phone to check instructions,0,3,0.0,0.0,0.0
|
| 204 |
+
202,Trace pattern on cardboard,0,0,0.0,0.0,0.0
|
| 205 |
+
203,Remove cardboard pattern,0,1,0.0,0.0,0.0
|
| 206 |
+
204,Remove cardboard pattern piece,0,3,0.0,0.0,0.0
|
| 207 |
+
205,Cut out cardboard pattern,0,1,0.0,0.0,0.0
|
| 208 |
+
206,Cut cardboard pattern,0,16,0.0,0.0,0.0
|
| 209 |
+
207,Adjust cardboard position,0,0,0.0,0.0,0.0
|
| 210 |
+
208,Interact with smartphone screen,0,0,0.0,0.0,0.0
|
| 211 |
+
209,Pick up metal ruler,0,0,0.0,0.0,0.0
|
| 212 |
+
210,Pick up pen,8,0,0.0,0.0,0.0
|
| 213 |
+
211,Move pen aside,0,0,0.0,0.0,0.0
|
| 214 |
+
212,Reposition and cut,0,0,0.0,0.0,0.0
|
| 215 |
+
213,Hold quilling paper,0,0,0.0,0.0,0.0
|
| 216 |
+
214,Roll quilling paper,0,0,0.0,0.0,0.0
|
| 217 |
+
215,Release paper coil,0,0,0.0,0.0,0.0
|
| 218 |
+
216,Pick up paper strip,0,0,0.0,0.0,0.0
|
| 219 |
+
217,Manipulate quilled paper strip,0,2,0.0,0.0,0.0
|
| 220 |
+
218,Release and prepare new strip,0,57,0.0,0.0,0.0
|
| 221 |
+
219,Manipulate small paper segment,0,2,0.0,0.0,0.0
|
| 222 |
+
220,Place down paper segment,0,0,0.0,0.0,0.0
|
| 223 |
+
221,Reach for paper strips,0,11,0.0,0.0,0.0
|
| 224 |
+
222,Browse and interact with phone interface,0,0,0.0,0.0,0.0
|
| 225 |
+
223,Interacting with phone screen,0,0,0.0,0.0,0.0
|
| 226 |
+
224,Pick up light blue strip,0,10,0.0,0.0,0.0
|
| 227 |
+
225,Inspect strip,0,14,0.0,0.0,0.0
|
| 228 |
+
226,Manipulate light blue strip,0,0,0.0,0.0,0.0
|
| 229 |
+
227,Cut cardboard tube,0,0,0.0,0.0,0.0
|
| 230 |
+
228,Stacking cardboard pieces,0,0,0.0,0.0,0.0
|
| 231 |
+
229,Moving hand,0,0,0.0,0.0,0.0
|
| 232 |
+
230,Position cardboard for cutting,0,0,0.0,0.0,0.0
|
| 233 |
+
231,Place cardboard piece,0,226,0.0,0.0,0.0
|
| 234 |
+
232,Pick up cardboard piece,0,0,0.0,0.0,0.0
|
| 235 |
+
233,Cut cardboard piece with scissors,0,0,0.0,0.0,0.0
|
| 236 |
+
234,Release cardboard piece,0,0,0.0,0.0,0.0
|
| 237 |
+
235,Walk across office,0,0,0.0,0.0,0.0
|
| 238 |
+
236,Cut cardboard into triangles,0,0,0.0,0.0,0.0
|
| 239 |
+
237,Cut cardboard shape,0,101,0.0,0.0,0.0
|
| 240 |
+
238,Pick up cardboard cutout,0,0,0.0,0.0,0.0
|
| 241 |
+
239,Walk with cardboard cutout,0,0,0.0,0.0,0.0
|
| 242 |
+
240,Approach workstation,0,2,0.0,0.0,0.0
|
| 243 |
+
241,Organize tools and materials,0,0,0.0,0.0,0.0
|
| 244 |
+
242,Cut cardboard triangle,0,0,0.0,0.0,0.0
|
| 245 |
+
243,Holding marker,0,0,0.0,0.0,0.0
|
| 246 |
+
244,Lift utility knife,0,0,0.0,0.0,0.0
|
| 247 |
+
245,Inspect cardboard piece,0,22,0.0,0.0,0.0
|
| 248 |
+
246,Position cardboard piece,0,0,0.0,0.0,0.0
|
| 249 |
+
247,Align scissors,0,0,0.0,0.0,0.0
|
| 250 |
+
248,Cut cardboard strip,0,61,0.0,0.0,0.0
|
| 251 |
+
249,Position cardboard strip,0,0,0.0,0.0,0.0
|
| 252 |
+
250,Inspect cardboard strip,0,0,0.0,0.0,0.0
|
| 253 |
+
251,Align cardboard piece,0,0,0.0,0.0,0.0
|
| 254 |
+
252,Complete the cut,0,0,0.0,0.0,0.0
|
| 255 |
+
253,Put down utility knife,0,1,0.0,0.0,0.0
|
| 256 |
+
254,Fold cardboard,0,0,0.0,0.0,0.0
|
| 257 |
+
255,Pick up utility knife,18,0,0.0,0.0,0.0
|
| 258 |
+
256,Hold utility knife,0,0,0.0,0.0,0.0
|
| 259 |
+
257,Pick up cardboard strip,0,10,0.0,0.0,0.0
|
| 260 |
+
258,Place cardboard strip,0,0,0.0,0.0,0.0
|
| 261 |
+
259,Place cans into box,0,0,0.0,0.0,0.0
|
| 262 |
+
260,Arrange cans in box,0,0,0.0,0.0,0.0
|
| 263 |
+
261,Reach for can,0,1,0.0,0.0,0.0
|
| 264 |
+
262,Arrange cans on shelf,0,0,0.0,0.0,0.0
|
| 265 |
+
263,Reach for additional items,0,0,0.0,0.0,0.0
|
| 266 |
+
264,Reach for container,0,6,0.0,0.0,0.0
|
| 267 |
+
265,Adjust position,0,0,0.0,0.0,0.0
|
| 268 |
+
266,Prepare to pick up item,0,0,0.0,0.0,0.0
|
| 269 |
+
267,Place container in bin,0,0,0.0,0.0,0.0
|
| 270 |
+
268,Adjust cans in bin,0,0,0.0,0.0,0.0
|
| 271 |
+
269,Hold and inspect can,0,0,0.0,0.0,0.0
|
| 272 |
+
270,Adjust perspective,0,0,0.0,0.0,0.0
|
| 273 |
+
271,Inspect shelf and organize stock,0,0,0.0,0.0,0.0
|
| 274 |
+
272,Placing stock on shelf,0,0,0.0,0.0,0.0
|
| 275 |
+
273,Hold small product bag,0,10,0.0,0.0,0.0
|
| 276 |
+
274,Position shelving divider,0,0,0.0,0.0,0.0
|
| 277 |
+
275,Move away from shelf,0,0,0.0,0.0,0.0
|
| 278 |
+
276,Pick up container,0,55,0.0,0.0,0.0
|
| 279 |
+
277,Pick up cleaning cloth,0,1,0.0,0.0,0.0
|
| 280 |
+
278,Pick up product box,0,0,0.0,0.0,0.0
|
| 281 |
+
279,Place box on shelf,0,0,0.0,0.0,0.0
|
| 282 |
+
280,Reach for next item,9,5,0.0,0.0,0.0
|
| 283 |
+
281,Place plush toy on shelf,0,0,0.0,0.0,0.0
|
| 284 |
+
282,Adjust placement on shelf,0,0,0.0,0.0,0.0
|
| 285 |
+
283,Move plush toy,0,0,0.0,0.0,0.0
|
| 286 |
+
284,Reach for product on shelf,0,0,0.0,0.0,0.0
|
| 287 |
+
285,Hold cardboard,0,0,0.0,0.0,0.0
|
| 288 |
+
286,Arrange cardboard,0,0,0.0,0.0,0.0
|
| 289 |
+
287,Walk with marker,0,0,0.0,0.0,0.0
|
| 290 |
+
288,Pick up small object,0,0,0.0,0.0,0.0
|
| 291 |
+
289,Walk across room,0,0,0.0,0.0,0.0
|
| 292 |
+
290,Place cardboard square on stack,0,0,0.0,0.0,0.0
|
| 293 |
+
291,Arrange cardboard squares,0,1,0.0,0.0,0.0
|
| 294 |
+
292,Stacking cardboard squares,0,0,0.0,0.0,0.0
|
| 295 |
+
293,Stacking cardboard square,0,0,0.0,0.0,0.0
|
| 296 |
+
294,Stack cardboard square,0,0,0.0,0.0,0.0
|
| 297 |
+
295,Stack cardboard squares,0,0,0.0,0.0,0.0
|
| 298 |
+
296,Sorting paper stars,0,0,0.0,0.0,0.0
|
| 299 |
+
297,Place star,0,0,0.0,0.0,0.0
|
| 300 |
+
298,Sort paper star,0,1,0.0,0.0,0.0
|
| 301 |
+
299,Sort paper stars,0,1,0.0,0.0,0.0
|
| 302 |
+
300,Place paper star,0,0,0.0,0.0,0.0
|
| 303 |
+
301,Walk away,0,0,0.0,0.0,0.0
|
| 304 |
+
302,Open door,0,0,0.0,0.0,0.0
|
| 305 |
+
303,Walk through doorway,0,0,0.0,0.0,0.0
|
| 306 |
+
304,Pick up object,0,0,0.0,0.0,0.0
|
| 307 |
+
305,Place item on table,0,0,0.0,0.0,0.0
|
| 308 |
+
306,Move phone,24,0,0.0,0.0,0.0
|
| 309 |
+
307,Sort and place paper star,0,0,0.0,0.0,0.0
|
| 310 |
+
308,Hold cardboard strip,0,2,0.0,0.0,0.0
|
| 311 |
+
309,Align cardboard strip,0,6,0.0,0.0,0.0
|
| 312 |
+
310,Hold cardboard with ruler,0,8,0.0,0.0,0.0
|
| 313 |
+
311,Move utility knife along ruler,0,0,0.0,0.0,0.0
|
| 314 |
+
312,Slide utility knife along ruler,0,11,0.0,0.0,0.0
|
| 315 |
+
313,Guide utility knife along ruler,0,0,0.0,0.0,0.0
|
| 316 |
+
314,Draw line on cardboard,0,128,0.0,0.0,0.0
|
| 317 |
+
315,Marking lines on cardboard,0,2,0.0,0.0,0.0
|
| 318 |
+
316,Hold craft tool,0,7,0.0,0.0,0.0
|
| 319 |
+
317,Approach table,0,2,0.0,0.0,0.0
|
| 320 |
+
318,Place tool on table,0,16,0.0,0.0,0.0
|
| 321 |
+
319,Move hand toward craft materials,0,3,0.0,0.0,0.0
|
| 322 |
+
320,Manipulate paper strips,0,31,0.0,0.0,0.0
|
| 323 |
+
321,Pick up blue paper strip,0,10,0.0,0.0,0.0
|
| 324 |
+
322,Hold and bend paper strip,0,0,0.0,0.0,0.0
|
| 325 |
+
323,Hold small object,0,1,0.0,0.0,0.0
|
| 326 |
+
324,Move hand away from workspace,0,0,0.0,0.0,0.0
|
| 327 |
+
325,Observe workspace,13,78,0.0,0.0,0.0
|
| 328 |
+
326,Place puzzle piece,21,9,0.0,0.0,0.0
|
| 329 |
+
327,Release puzzle piece,4,0,0.0,0.0,0.0
|
| 330 |
+
328,Scan for next piece,0,48,0.0,0.0,0.0
|
| 331 |
+
329,Positioning puzzle piece,0,0,0.0,0.0,0.0
|
| 332 |
+
330,Manipulate puzzle pieces,35,82,0.024390243902439025,0.05714285714285714,0.03418803418803419
|
| 333 |
+
331,Adjust puzzle piece,11,51,0.19607843137254902,0.9090909090909091,0.3225806451612903
|
| 334 |
+
332,Adjusting puzzle piece,0,1,0.0,0.0,0.0
|
| 335 |
+
333,Adjusting a puzzle piece,0,0,0.0,0.0,0.0
|
| 336 |
+
334,Draw line along ruler,0,0,0.0,0.0,0.0
|
| 337 |
+
335,Reposition ruler,0,12,0.0,0.0,0.0
|
| 338 |
+
336,Hold ruler and pen steady,0,0,0.0,0.0,0.0
|
| 339 |
+
337,Mark lines on cardboard,0,0,0.0,0.0,0.0
|
| 340 |
+
338,Place marker down,0,0,0.0,0.0,0.0
|
| 341 |
+
339,Walk across the room,0,0,0.0,0.0,0.0
|
| 342 |
+
340,Approach packing area,0,0,0.0,0.0,0.0
|
| 343 |
+
341,Pack beads into box,0,0,0.0,0.0,0.0
|
| 344 |
+
342,Pick up beads,0,0,0.0,0.0,0.0
|
| 345 |
+
343,Deposit beads into box,0,0,0.0,0.0,0.0
|
| 346 |
+
344,Pick up cardboard tray,0,0,0.0,0.0,0.0
|
| 347 |
+
345,Move tray towards packing area,0,0,0.0,0.0,0.0
|
| 348 |
+
346,Position cardboard tray,0,0,0.0,0.0,0.0
|
| 349 |
+
347,Cut light green fabric,0,0,0.0,0.0,0.0
|
| 350 |
+
348,Continue cutting fabric,0,0,0.0,0.0,0.0
|
| 351 |
+
349,Cut fabric with scissors,0,1,0.0,0.0,0.0
|
| 352 |
+
350,Adjusting fabric for cutting,0,0,0.0,0.0,0.0
|
| 353 |
+
351,Cutting fabric,0,0,0.0,0.0,0.0
|
| 354 |
+
352,Mark fabric with pen,0,0,0.0,0.0,0.0
|
| 355 |
+
353,Mark fabric,0,0,0.0,0.0,0.0
|
| 356 |
+
354,Mark fabric with pen and ruler,0,0,0.0,0.0,0.0
|
| 357 |
+
355,Carry cardboard piece,0,7,0.0,0.0,0.0
|
| 358 |
+
356,Pick up electronic accessory from box,0,0,0.0,0.0,0.0
|
| 359 |
+
357,Place accessory on shelf,0,0,0.0,0.0,0.0
|
| 360 |
+
358,Pick up accessory,0,0,0.0,0.0,0.0
|
| 361 |
+
359,Reach towards shelf,0,0,0.0,0.0,0.0
|
| 362 |
+
360,Place accessory into box,0,0,0.0,0.0,0.0
|
| 363 |
+
361,Pick up new electronic product,0,0,0.0,0.0,0.0
|
| 364 |
+
362,Pick up electronic product,0,0,0.0,0.0,0.0
|
| 365 |
+
363,Move hand back to box,0,0,0.0,0.0,0.0
|
| 366 |
+
364,Move product towards shelf,0,0,0.0,0.0,0.0
|
| 367 |
+
365,Walk with shopping bag,0,0,0.0,0.0,0.0
|
| 368 |
+
366,Pick up item from box,0,0,0.0,0.0,0.0
|
| 369 |
+
367,Move towards box,0,0,0.0,0.0,0.0
|
| 370 |
+
368,Hold items,0,0,0.0,0.0,0.0
|
| 371 |
+
369,Place items on shelf,0,2,0.0,0.0,0.0
|
| 372 |
+
370,Move to box,0,1,0.0,0.0,0.0
|
| 373 |
+
371,Move box to next position,0,0,0.0,0.0,0.0
|
| 374 |
+
372,Hold snack package,0,3,0.0,0.0,0.0
|
| 375 |
+
373,Place snack package on shelf,0,44,0.0,0.0,0.0
|
| 376 |
+
374,Place snack package in box,0,0,0.0,0.0,0.0
|
| 377 |
+
375,Hold snack packages,0,0,0.0,0.0,0.0
|
| 378 |
+
376,Pick up snack packages,0,0,0.0,0.0,0.0
|
| 379 |
+
377,Walk towards shelves,9,4,0.0,0.0,0.0
|
| 380 |
+
378,Pick up snack package,0,0,0.0,0.0,0.0
|
| 381 |
+
379,Organize snacks in box,0,0,0.0,0.0,0.0
|
| 382 |
+
380,Adjust snack package,0,0,0.0,0.0,0.0
|
| 383 |
+
381,Open cardboard box,0,0,0.0,0.0,0.0
|
| 384 |
+
382,Remove cardboard flap,0,5,0.0,0.0,0.0
|
| 385 |
+
383,Align plastic containers,0,0,0.0,0.0,0.0
|
| 386 |
+
384,Reach for items,0,0,0.0,0.0,0.0
|
| 387 |
+
385,Adjust containers on shelf,0,0,0.0,0.0,0.0
|
| 388 |
+
386,Adjust container position,0,0,0.0,0.0,0.0
|
| 389 |
+
387,Withdraw hand,0,0,0.0,0.0,0.0
|
| 390 |
+
388,Place container on shelf,0,35,0.0,0.0,0.0
|
| 391 |
+
389,Place item in shopping bag,0,95,0.0,0.0,0.0
|
| 392 |
+
390,Grasp item,0,0,0.0,0.0,0.0
|
| 393 |
+
391,Move item to bag,0,0,0.0,0.0,0.0
|
| 394 |
+
392,Pick up plush toy,0,0,0.0,0.0,0.0
|
| 395 |
+
393,Place plush toy into bag,0,0,0.0,0.0,0.0
|
| 396 |
+
394,Grasp shopping bag,0,0,0.0,0.0,0.0
|
| 397 |
+
395,Prepare to place item in bag,0,0,0.0,0.0,0.0
|
| 398 |
+
396,Organize bag contents,0,0,0.0,0.0,0.0
|
| 399 |
+
397,Grasp and retrieve item,0,0,0.0,0.0,0.0
|
| 400 |
+
398,Place item into shopping bag,0,0,0.0,0.0,0.0
|
| 401 |
+
399,Sort star-shaped beads,16,0,0.0,0.0,0.0
|
| 402 |
+
400,Sort beads on the table,0,0,0.0,0.0,0.0
|
| 403 |
+
401,Sort beads on table,0,0,0.0,0.0,0.0
|
| 404 |
+
402,Hold instructional sign,0,0,0.0,0.0,0.0
|
| 405 |
+
403,Pick up star-shaped bead,0,3,0.0,0.0,0.0
|
| 406 |
+
404,Place bead on table,0,3,0.0,0.0,0.0
|
| 407 |
+
405,Reposition sign and organize beads,0,0,0.0,0.0,0.0
|
| 408 |
+
406,Reposition ruler and pen,0,0,0.0,0.0,0.0
|
| 409 |
+
407,Reposition pen and prepare for next line,0,0,0.0,0.0,0.0
|
| 410 |
+
408,Draw straight lines on cardboard,0,0,0.0,0.0,0.0
|
| 411 |
+
409,Draw lines with ruler,0,0,0.0,0.0,0.0
|
| 412 |
+
410,Sort origami stars,0,0,0.0,0.0,0.0
|
| 413 |
+
411,Walk in hallway,0,2,0.0,0.0,0.0
|
| 414 |
+
412,Reach for stars,0,0,0.0,0.0,0.0
|
| 415 |
+
413,Walk towards desk,0,0,0.0,0.0,0.0
|
| 416 |
+
414,Grasp origami stars,0,0,0.0,0.0,0.0
|
| 417 |
+
415,Place stars in container,0,0,0.0,0.0,0.0
|
| 418 |
+
416,Sort light blue origami stars,0,0,0.0,0.0,0.0
|
| 419 |
+
417,Sort origami stars by color,0,0,0.0,0.0,0.0
|
| 420 |
+
418,Move origami stars,0,0,0.0,0.0,0.0
|
| 421 |
+
419,Put down scissors,0,0,0.0,0.0,0.0
|
| 422 |
+
420,Use smartphone,70,2,0.0,0.0,0.0
|
| 423 |
+
421,Pick up water bottle,0,0,0.0,0.0,0.0
|
| 424 |
+
422,Hold water bottle,0,0,0.0,0.0,0.0
|
| 425 |
+
423,Place water bottle on table,0,0,0.0,0.0,0.0
|
| 426 |
+
424,Hold phone,0,0,0.0,0.0,0.0
|
| 427 |
+
425,Hold and view phone,0,0,0.0,0.0,0.0
|
| 428 |
+
426,Cut cardboard pieces with scissors,0,0,0.0,0.0,0.0
|
| 429 |
+
427,Vacuum the carpet,0,0,0.0,0.0,0.0
|
| 430 |
+
428,Push vacuum cleaner,0,0,0.0,0.0,0.0
|
| 431 |
+
429,Adjust vacuum cleaner position,0,0,0.0,0.0,0.0
|
| 432 |
+
430,Vacuuming carpet edge,0,0,0.0,0.0,0.0
|
| 433 |
+
431,Vacuum edge of carpet,0,0,0.0,0.0,0.0
|
| 434 |
+
432,Vacuuming carpet corner,0,0,0.0,0.0,0.0
|
| 435 |
+
433,Vacuuming the carpet edge,0,0,0.0,0.0,0.0
|
| 436 |
+
434,Move vacuum cleaner,0,0,0.0,0.0,0.0
|
| 437 |
+
435,Vacuuming along the wall edge,0,0,0.0,0.0,0.0
|
| 438 |
+
436,Fold paper strip into star,0,0,0.0,0.0,0.0
|
| 439 |
+
437,Arrange Mahjong tiles,0,0,0.0,0.0,0.0
|
| 440 |
+
438,Rearrange Mahjong tiles,0,203,0.0,0.0,0.0
|
| 441 |
+
439,Adjust Mahjong tiles,0,0,0.0,0.0,0.0
|
| 442 |
+
440,Reach for Mahjong tiles,0,73,0.0,0.0,0.0
|
| 443 |
+
441,Rearrange Mahjong tile,0,2,0.0,0.0,0.0
|
| 444 |
+
442,Adjust Mahjong tile,0,0,0.0,0.0,0.0
|
| 445 |
+
443,Align Mahjong tiles,0,0,0.0,0.0,0.0
|
| 446 |
+
444,Move Mahjong tile,0,0,0.0,0.0,0.0
|
| 447 |
+
445,Realign Mahjong tiles,0,0,0.0,0.0,0.0
|
| 448 |
+
446,Cut cardboard square,0,0,0.0,0.0,0.0
|
| 449 |
+
447,Trim cardboard piece,0,0,0.0,0.0,0.0
|
| 450 |
+
448,Pick up cereal boxes,0,0,0.0,0.0,0.0
|
| 451 |
+
449,Carry cereal boxes,0,0,0.0,0.0,0.0
|
| 452 |
+
450,Carry cereal towards aisle,0,1,0.0,0.0,0.0
|
| 453 |
+
451,Carry pasta box towards aisle,0,0,0.0,0.0,0.0
|
| 454 |
+
452,Pick up container from box,0,0,0.0,0.0,0.0
|
| 455 |
+
453,Hold container,0,1,0.0,0.0,0.0
|
| 456 |
+
454,Reach for items in box,0,1,0.0,0.0,0.0
|
| 457 |
+
455,Pick up grocery item,0,0,0.0,0.0,0.0
|
| 458 |
+
456,Carry item to shelf,0,0,0.0,0.0,0.0
|
| 459 |
+
457,Move to stock products,0,0,0.0,0.0,0.0
|
| 460 |
+
458,Wipe shelf surface,0,0,0.0,0.0,0.0
|
| 461 |
+
459,Move cardboard box,0,5,0.0,0.0,0.0
|
| 462 |
+
460,Place snack on shelf,0,0,0.0,0.0,0.0
|
| 463 |
+
461,Retrieve snack from container,0,0,0.0,0.0,0.0
|
| 464 |
+
462,Pick up gift box,0,0,0.0,0.0,0.0
|
| 465 |
+
463,Pick up next gift box,0,0,0.0,0.0,0.0
|
| 466 |
+
464,Pick up snack pouch,0,0,0.0,0.0,0.0
|
| 467 |
+
465,Place snack pouch in container,0,0,0.0,0.0,0.0
|
| 468 |
+
466,Reach for snack pouch,0,0,0.0,0.0,0.0
|
| 469 |
+
467,Move storage bin,0,0,0.0,0.0,0.0
|
| 470 |
+
468,Reach for shelf,0,1,0.0,0.0,0.0
|
| 471 |
+
469,Hold bin and move through aisle,0,0,0.0,0.0,0.0
|
| 472 |
+
470,Remove storage bin from shelf,0,0,0.0,0.0,0.0
|
| 473 |
+
471,Reach for empty shelf space,0,0,0.0,0.0,0.0
|
| 474 |
+
472,Grasp plastic bag on shelf,0,0,0.0,0.0,0.0
|
| 475 |
+
473,Remove plastic container from shelf,0,0,0.0,0.0,0.0
|
| 476 |
+
474,Arrange plastic containers,0,0,0.0,0.0,0.0
|
| 477 |
+
475,Retrieve another container,0,0,0.0,0.0,0.0
|
| 478 |
+
476,Arrange container on shelf,0,0,0.0,0.0,0.0
|
| 479 |
+
477,Hold smartphone,42,4,0.0,0.0,0.0
|
| 480 |
+
478,Place smartphone on desk,0,0,0.0,0.0,0.0
|
| 481 |
+
479,Reach for water bottle,0,1,0.0,0.0,0.0
|
| 482 |
+
480,Hold scissors,0,2,0.0,0.0,0.0
|
| 483 |
+
481,Cut newspaper,0,10,0.0,0.0,0.0
|
| 484 |
+
482,Continue cutting newspaper,0,0,0.0,0.0,0.0
|
| 485 |
+
483,Place scissors on table,0,18,0.0,0.0,0.0
|
| 486 |
+
484,Move scissors away,0,1,0.0,0.0,0.0
|
| 487 |
+
485,Place scissors down,0,1,0.0,0.0,0.0
|
| 488 |
+
486,Arrange tiles into row,0,0,0.0,0.0,0.0
|
| 489 |
+
487,Adjust tile row alignment,0,0,0.0,0.0,0.0
|
| 490 |
+
488,Adjust Mahjong tile alignment,0,0,0.0,0.0,0.0
|
| 491 |
+
489,Adjust Mahjong tile on the stack,0,47,0.0,0.0,0.0
|
| 492 |
+
490,Pick up Mahjong tile,0,0,0.0,0.0,0.0
|
| 493 |
+
491,Place Mahjong tile on the stack,0,0,0.0,0.0,0.0
|
| 494 |
+
492,Place Mahjong tile on stack,0,0,0.0,0.0,0.0
|
| 495 |
+
493,Hold ruler and draw line,0,0,0.0,0.0,0.0
|
| 496 |
+
494,Draw line,0,0,0.0,0.0,0.0
|
| 497 |
+
495,Mark lines with pen along ruler,0,0,0.0,0.0,0.0
|
| 498 |
+
496,Hold ruler and mark cardboard,0,0,0.0,0.0,0.0
|
| 499 |
+
497,Hold ruler and marker,0,0,0.0,0.0,0.0
|
| 500 |
+
498,Inspect charging case,0,0,0.0,0.0,0.0
|
| 501 |
+
499,Place charging case down,0,0,0.0,0.0,0.0
|
| 502 |
+
500,Hold paper strip,0,0,0.0,0.0,0.0
|
| 503 |
+
501,Measure and mark cardboard,0,0,0.0,0.0,0.0
|
| 504 |
+
502,Hold and align cardboard,0,0,0.0,0.0,0.0
|
| 505 |
+
503,Position cardboard tube,0,0,0.0,0.0,0.0
|
| 506 |
+
504,Cut cardboard strip with scissors,0,0,0.0,0.0,0.0
|
| 507 |
+
505,Scroll on smartphone,0,0,0.0,0.0,0.0
|
| 508 |
+
506,Tap smartphone screen,0,0,0.0,0.0,0.0
|
| 509 |
+
507,Scroll through photo gallery,0,0,0.0,0.0,0.0
|
| 510 |
+
508,Typing message on smartphone,0,0,0.0,0.0,0.0
|
| 511 |
+
509,Typing on smartphone,0,0,0.0,0.0,0.0
|
| 512 |
+
510,Tapping smartphone screen,0,0,0.0,0.0,0.0
|
| 513 |
+
511,Putting away smartphone,0,0,0.0,0.0,0.0
|
| 514 |
+
512,Stop measuring and put down tools,0,0,0.0,0.0,0.0
|
| 515 |
+
513,Draw line with pen,0,0,0.0,0.0,0.0
|
| 516 |
+
514,Prepare to draw lines,0,0,0.0,0.0,0.0
|
| 517 |
+
515,Remove ruler and marker,0,0,0.0,0.0,0.0
|
| 518 |
+
516,Align ruler and mark cardboard,0,0,0.0,0.0,0.0
|
| 519 |
+
517,Walking through classroom,0,1,0.0,0.0,0.0
|
| 520 |
+
518,Assemble cardboard pieces,0,1,0.0,0.0,0.0
|
| 521 |
+
519,Move marker away,0,2,0.0,0.0,0.0
|
| 522 |
+
520,Arrange cardboard piece,0,0,0.0,0.0,0.0
|
| 523 |
+
521,Position ruler and mark cardboard,0,0,0.0,0.0,0.0
|
| 524 |
+
522,Place canned good on shelf,0,0,0.0,0.0,0.0
|
| 525 |
+
523,Move canned goods container,0,0,0.0,0.0,0.0
|
| 526 |
+
524,Position container near shelf,0,0,0.0,0.0,0.0
|
| 527 |
+
525,Adjust container on shelf,0,0,0.0,0.0,0.0
|
| 528 |
+
526,Pick up canned food,13,0,0.0,0.0,0.0
|
| 529 |
+
527,Place canned food in container,0,0,0.0,0.0,0.0
|
| 530 |
+
528,Adjust cans in container,0,0,0.0,0.0,0.0
|
| 531 |
+
529,Adjust cans in tray,0,0,0.0,0.0,0.0
|
| 532 |
+
530,Adjusting canned goods on shelf,0,0,0.0,0.0,0.0
|
| 533 |
+
531,Align canned goods on shelf,0,0,0.0,0.0,0.0
|
| 534 |
+
532,Place canned food on shelf,69,0,0.0,0.0,0.0
|
| 535 |
+
533,Reach for next canned food item,0,0,0.0,0.0,0.0
|
| 536 |
+
534,Wipe the plastic jar,0,5,0.0,0.0,0.0
|
| 537 |
+
535,Finish wiping and inspect jar,0,8,0.0,0.0,0.0
|
| 538 |
+
536,Inspect jar,0,109,0.0,0.0,0.0
|
| 539 |
+
537,Pick up tin can,0,0,0.0,0.0,0.0
|
| 540 |
+
538,Hold items and inspect shelf,0,72,0.0,0.0,0.0
|
| 541 |
+
539,Move cardboard,0,0,0.0,0.0,0.0
|
| 542 |
+
540,Stabilize cardboard,0,0,0.0,0.0,0.0
|
| 543 |
+
541,Stabilize ruler,0,0,0.0,0.0,0.0
|
| 544 |
+
542,Labeling cardboard squares,0,0,0.0,0.0,0.0
|
| 545 |
+
543,Moving cardboard square,0,0,0.0,0.0,0.0
|
| 546 |
+
544,Labeling cardboard square,0,0,0.0,0.0,0.0
|
| 547 |
+
545,Starting to label next square,0,0,0.0,0.0,0.0
|
| 548 |
+
546,Placing labeled cardboard square,0,0,0.0,0.0,0.0
|
| 549 |
+
547,Labeling cardboard piece,0,2,0.0,0.0,0.0
|
| 550 |
+
548,Move cardboard piece,0,0,0.0,0.0,0.0
|
| 551 |
+
549,Reach for next piece,0,0,0.0,0.0,0.0
|
| 552 |
+
550,Marking cardboard with pen,0,0,0.0,0.0,0.0
|
| 553 |
+
551,Repositioning ruler and cardboard,0,2,0.0,0.0,0.0
|
| 554 |
+
552,Folding cardboard,0,0,0.0,0.0,0.0
|
| 555 |
+
553,Place cardboard piece on stack,0,2,0.0,0.0,0.0
|
| 556 |
+
554,Arrange buttons on the table,0,14,0.0,0.0,0.0
|
| 557 |
+
555,Arrange buttons,33,2,0.5,0.030303030303030304,0.05714285714285715
|
| 558 |
+
556,Sorting buttons,0,0,0.0,0.0,0.0
|
| 559 |
+
557,Sort orange buttons,0,16,0.0,0.0,0.0
|
| 560 |
+
558,Sort orange button,0,0,0.0,0.0,0.0
|
| 561 |
+
559,Move hand over button pile,0,0,0.0,0.0,0.0
|
| 562 |
+
560,Move orange buttons,0,11,0.0,0.0,0.0
|
| 563 |
+
561,Arrange orange buttons,0,1,0.0,0.0,0.0
|
| 564 |
+
562,Pick up stapler,0,0,0.0,0.0,0.0
|
| 565 |
+
563,Drawing grid line with ruler,0,0,0.0,0.0,0.0
|
| 566 |
+
564,Drawing grid line with pen and ruler,0,0,0.0,0.0,0.0
|
| 567 |
+
565,Draw grid line with pen,0,0,0.0,0.0,0.0
|
| 568 |
+
566,Pick up cardboard,0,0,0.0,0.0,0.0
|
| 569 |
+
567,Draw grid line,0,2,0.0,0.0,0.0
|
| 570 |
+
568,Drawing grid line,0,0,0.0,0.0,0.0
|
| 571 |
+
569,Manipulate paper star,0,10,0.0,0.0,0.0
|
| 572 |
+
570,Fold paper star,0,6,0.0,0.0,0.0
|
| 573 |
+
571,Reach for beads,0,45,0.0,0.0,0.0
|
| 574 |
+
572,Sort purple beads,0,0,0.0,0.0,0.0
|
| 575 |
+
573,Write on paper,13,1,0.0,0.0,0.0
|
| 576 |
+
574,Gathering star beads,0,0,0.0,0.0,0.0
|
| 577 |
+
575,Sort beads by hand,0,0,0.0,0.0,0.0
|
| 578 |
+
576,Pick up can,3,0,0.0,0.0,0.0
|
| 579 |
+
577,Hold tray of canned goods,0,0,0.0,0.0,0.0
|
| 580 |
+
578,Position tray,0,0,0.0,0.0,0.0
|
| 581 |
+
579,Sort canned goods in tray,0,0,0.0,0.0,0.0
|
| 582 |
+
580,Carry crate of cans,0,0,0.0,0.0,0.0
|
| 583 |
+
581,Move can towards shelf,0,0,0.0,0.0,0.0
|
| 584 |
+
582,Wipe item,0,0,0.0,0.0,0.0
|
| 585 |
+
583,Place item back,0,0,0.0,0.0,0.0
|
| 586 |
+
584,Wipe retail item,0,0,0.0,0.0,0.0
|
| 587 |
+
585,Reach for retail item,0,0,0.0,0.0,0.0
|
| 588 |
+
586,Grasp retail item,0,0,0.0,0.0,0.0
|
| 589 |
+
587,Adjust retail items on shelf,0,0,0.0,0.0,0.0
|
| 590 |
+
588,Align and place retail item,0,22,0.0,0.0,0.0
|
| 591 |
+
589,Arrange items on shelf,0,0,0.0,0.0,0.0
|
| 592 |
+
590,Pick up pink water bottle,0,0,0.0,0.0,0.0
|
| 593 |
+
591,Place down pink water bottle,0,0,0.0,0.0,0.0
|
| 594 |
+
592,Place star in row,0,0,0.0,0.0,0.0
|
| 595 |
+
593,Reach for star,0,0,0.0,0.0,0.0
|
| 596 |
+
594,Retrieve star,0,0,0.0,0.0,0.0
|
| 597 |
+
595,Pick up star,0,0,0.0,0.0,0.0
|
| 598 |
+
596,Hold recording sheet and pen,0,0,0.0,0.0,0.0
|
| 599 |
+
597,Record star count,0,0,0.0,0.0,0.0
|
| 600 |
+
598,Hold pen and paper,0,0,0.0,0.0,0.0
|
| 601 |
+
599,Observe paper and count objects,0,0,0.0,0.0,0.0
|
| 602 |
+
600,Write count on paper,17,0,0.0,0.0,0.0
|
| 603 |
+
601,Place pen on table,0,0,0.0,0.0,0.0
|
| 604 |
+
602,View content on smartphone,0,0,0.0,0.0,0.0
|
| 605 |
+
603,Resume writing on paper,0,0,0.0,0.0,0.0
|
| 606 |
+
604,Pick up paper star,0,0,0.0,0.0,0.0
|
| 607 |
+
605,Place paper star in row,0,0,0.0,0.0,0.0
|
| 608 |
+
606,Manipulate star,0,0,0.0,0.0,0.0
|
| 609 |
+
607,Arrange paper stars,0,0,0.0,0.0,0.0
|
| 610 |
+
608,Cut cardboard grid,0,0,0.0,0.0,0.0
|
| 611 |
+
609,Pick up small item,0,0,0.0,0.0,0.0
|
| 612 |
+
610,Walking to sink,0,0,0.0,0.0,0.0
|
| 613 |
+
611,Washing hands,0,0,0.0,0.0,0.0
|
| 614 |
+
612,Finish washing hands,0,0,0.0,0.0,0.0
|
| 615 |
+
613,Pick up paper towel,0,0,0.0,0.0,0.0
|
| 616 |
+
614,Dry hands,0,0,0.0,0.0,0.0
|
| 617 |
+
615,Begin folding paper strip,0,2,0.0,0.0,0.0
|
| 618 |
+
616,Fold paper strip into a star,0,0,0.0,0.0,0.0
|
| 619 |
+
617,Prepare paper strip,0,3,0.0,0.0,0.0
|
| 620 |
+
618,Continue folding paper strip,0,50,0.0,0.0,0.0
|
| 621 |
+
619,Fold lucky star,0,0,0.0,0.0,0.0
|
| 622 |
+
620,Manipulate folded paper star,0,1,0.0,0.0,0.0
|
| 623 |
+
621,Grasp paper strip,0,0,0.0,0.0,0.0
|
| 624 |
+
622,Sort colored tiles,0,16,0.0,0.0,0.0
|
| 625 |
+
623,Pick up colored tile,0,6,0.0,0.0,0.0
|
| 626 |
+
624,Place colored tile,0,0,0.0,0.0,0.0
|
| 627 |
+
625,Sort tiles,0,24,0.0,0.0,0.0
|
| 628 |
+
626,Sort tiles by color,0,8,0.0,0.0,0.0
|
| 629 |
+
627,Write on notepad,0,32,0.0,0.0,0.0
|
| 630 |
+
628,Writing on notepad,0,1,0.0,0.0,0.0
|
| 631 |
+
629,Reaching for beads,0,1,0.0,0.0,0.0
|
| 632 |
+
630,Cut section from newspaper,0,0,0.0,0.0,0.0
|
| 633 |
+
631,Tear newspaper,0,0,0.0,0.0,0.0
|
| 634 |
+
632,Hold newspaper,0,1,0.0,0.0,0.0
|
| 635 |
+
633,Hold and align newspaper,0,0,0.0,0.0,0.0
|
| 636 |
+
634,Fold newspaper,0,7,0.0,0.0,0.0
|
| 637 |
+
635,Reposition newspaper,0,0,0.0,0.0,0.0
|
| 638 |
+
636,Cut along the edge of the newspaper,0,0,0.0,0.0,0.0
|
| 639 |
+
637,Cut along the newspaper edge,0,1,0.0,0.0,0.0
|
| 640 |
+
638,Browsing mobile phone,0,0,0.0,0.0,0.0
|
| 641 |
+
639,Browse mobile phone,0,0,0.0,0.0,0.0
|
| 642 |
+
640,Cut newspaper with scissors,0,0,0.0,0.0,0.0
|
| 643 |
+
641,Sort blue star-shaped pieces,0,0,0.0,0.0,0.0
|
| 644 |
+
642,Sort small plastic pieces,0,0,0.0,0.0,0.0
|
| 645 |
+
643,Reach for more pieces,0,0,0.0,0.0,0.0
|
| 646 |
+
644,Sort plastic pieces,0,0,0.0,0.0,0.0
|
| 647 |
+
645,Move pieces into box,0,0,0.0,0.0,0.0
|
| 648 |
+
646,Gather pieces into box,0,0,0.0,0.0,0.0
|
| 649 |
+
647,Typing on phone,0,0,0.0,0.0,0.0
|
| 650 |
+
648,Scrolling and viewing content on phone,0,0,0.0,0.0,0.0
|
| 651 |
+
649,Pick up item from shelf,0,2,0.0,0.0,0.0
|
| 652 |
+
650,Pick up charging cable,0,0,0.0,0.0,0.0
|
| 653 |
+
651,Pick up electronic item,0,99,0.0,0.0,0.0
|
| 654 |
+
652,Wipe electronic item,0,0,0.0,0.0,0.0
|
| 655 |
+
653,Place item in bag,0,0,0.0,0.0,0.0
|
| 656 |
+
654,Inspect smartphone box,0,0,0.0,0.0,0.0
|
| 657 |
+
655,Hold smartphone box,0,0,0.0,0.0,0.0
|
| 658 |
+
656,Examine product,0,1,0.0,0.0,0.0
|
| 659 |
+
657,Pick up another canned item,0,0,0.0,0.0,0.0
|
| 660 |
+
658,Carry plastic container,0,1,0.0,0.0,0.0
|
| 661 |
+
659,Reach for another container,0,33,0.0,0.0,0.0
|
| 662 |
+
660,Release container,0,3,0.0,0.0,0.0
|
| 663 |
+
661,Pick up storage container,0,0,0.0,0.0,0.0
|
| 664 |
+
662,Move container toward shelf,0,1,0.0,0.0,0.0
|
| 665 |
+
663,Position container on shelf,0,0,0.0,0.0,0.0
|
| 666 |
+
664,Remove lid from container,0,1,0.0,0.0,0.0
|
| 667 |
+
665,Pick up canned goods,0,0,0.0,0.0,0.0
|
| 668 |
+
666,Place canned goods in container,0,5,0.0,0.0,0.0
|
| 669 |
+
667,Pick up next product from bin,0,0,0.0,0.0,0.0
|
| 670 |
+
668,Move bin,0,13,0.0,0.0,0.0
|
| 671 |
+
669,Walking along the aisle,0,0,0.0,0.0,0.0
|
| 672 |
+
670,Move plastic storage bin,0,0,0.0,0.0,0.0
|
| 673 |
+
671,Place canned food in bin,0,0,0.0,0.0,0.0
|
| 674 |
+
672,Hold container of canned food,0,0,0.0,0.0,0.0
|
| 675 |
+
673,Move towards aisle,0,0,0.0,0.0,0.0
|
| 676 |
+
674,Approach restocking supplies,0,0,0.0,0.0,0.0
|
| 677 |
+
675,Pick up plastic container,0,1,0.0,0.0,0.0
|
| 678 |
+
676,Move along the shelves,0,0,0.0,0.0,0.0
|
| 679 |
+
677,Forming quilled paper shape,0,0,0.0,0.0,0.0
|
| 680 |
+
678,Manipulate quilled paper shape,0,0,0.0,0.0,0.0
|
| 681 |
+
679,Place quilled paper shape,0,0,0.0,0.0,0.0
|
| 682 |
+
680,Retrieve paper strip,0,0,0.0,0.0,0.0
|
| 683 |
+
681,Select paper strip,0,0,0.0,0.0,0.0
|
| 684 |
+
682,Transition to standing position,0,0,0.0,0.0,0.0
|
| 685 |
+
683,Observe paper quilling station,0,0,0.0,0.0,0.0
|
| 686 |
+
684,Sort quilled paper pieces,0,0,0.0,0.0,0.0
|
| 687 |
+
685,Walk towards storage area,0,0,0.0,0.0,0.0
|
| 688 |
+
686,Hold device and cable,0,0,0.0,0.0,0.0
|
| 689 |
+
687,Move piece to pile,0,0,0.0,0.0,0.0
|
| 690 |
+
688,Manipulate quilled paper,0,0,0.0,0.0,0.0
|
| 691 |
+
689,Pick up and sort cardboard,0,1,0.0,0.0,0.0
|
| 692 |
+
690,Sort and arrange cardboard pieces,0,5,0.0,0.0,0.0
|
| 693 |
+
691,Move camera over surface,0,9,0.0,0.0,0.0
|
| 694 |
+
692,Observe sorting progress,0,0,0.0,0.0,0.0
|
| 695 |
+
693,Reach for cardboard piece,0,0,0.0,0.0,0.0
|
| 696 |
+
694,Lock phone,0,4,0.0,0.0,0.0
|
| 697 |
+
695,Sort and stack cardboard pieces,0,0,0.0,0.0,0.0
|
| 698 |
+
696,Mark list with pen,0,0,0.0,0.0,0.0
|
| 699 |
+
697,Adjust bead piles,0,0,0.0,0.0,0.0
|
| 700 |
+
698,Sort blue beads,0,1,0.0,0.0,0.0
|
| 701 |
+
699,Place down pen,0,6,0.0,0.0,0.0
|
| 702 |
+
700,Move away from desk,0,0,0.0,0.0,0.0
|
| 703 |
+
701,Walking through the office,0,0,0.0,0.0,0.0
|
| 704 |
+
702,Resume sorting blue beads,0,2,0.0,0.0,0.0
|
| 705 |
+
703,Fold cardboard shape,0,0,0.0,0.0,0.0
|
| 706 |
+
704,Reach for cardboard box,0,5,0.0,0.0,0.0
|
| 707 |
+
705,Reach for object,0,26,0.0,0.0,0.0
|
| 708 |
+
706,Release cardboard shape,0,20,0.0,0.0,0.0
|
| 709 |
+
707,Reposition hands,0,0,0.0,0.0,0.0
|
| 710 |
+
708,Rolling paper strip,0,0,0.0,0.0,0.0
|
| 711 |
+
709,Finishing coil,0,0,0.0,0.0,0.0
|
| 712 |
+
710,Start folding paper strip,0,0,0.0,0.0,0.0
|
| 713 |
+
711,Folding paper strip,0,0,0.0,0.0,0.0
|
| 714 |
+
712,Positioning paper strip,0,0,0.0,0.0,0.0
|
| 715 |
+
713,Manipulate quilling paper,0,2,0.0,0.0,0.0
|
| 716 |
+
714,Walk towards workspace,0,0,0.0,0.0,0.0
|
| 717 |
+
715,Interaction with coworker,0,22,0.0,0.0,0.0
|
| 718 |
+
716,Walk through workspace,0,9,0.0,0.0,0.0
|
| 719 |
+
717,Manipulate small object,0,0,0.0,0.0,0.0
|
| 720 |
+
718,Manipulate paper quilling piece,0,0,0.0,0.0,0.0
|
| 721 |
+
719,Hold quilled paper piece,0,0,0.0,0.0,0.0
|
| 722 |
+
720,Pull paper strip,0,0,0.0,0.0,0.0
|
| 723 |
+
721,Hold and align paper strip,0,9,0.0,0.0,0.0
|
| 724 |
+
722,Hold and rotate paper strip,0,0,0.0,0.0,0.0
|
| 725 |
+
723,Marking cardboard piece,30,1,0.0,0.0,0.0
|
| 726 |
+
724,Hold and mark cardboard piece,0,0,0.0,0.0,0.0
|
| 727 |
+
725,Organize cardboard pieces,15,0,0.0,0.0,0.0
|
| 728 |
+
726,Walking towards workstation,0,0,0.0,0.0,0.0
|
| 729 |
+
727,Move to desk,0,0,0.0,0.0,0.0
|
| 730 |
+
728,Sort small objects,0,0,0.0,0.0,0.0
|
| 731 |
+
729,Gathering items,0,0,0.0,0.0,0.0
|
| 732 |
+
730,Place items on table,0,0,0.0,0.0,0.0
|
| 733 |
+
731,Gathering colored beads,0,0,0.0,0.0,0.0
|
| 734 |
+
732,Arrange beads by color,0,0,0.0,0.0,0.0
|
| 735 |
+
733,Sort star-shaped objects by color,0,1,0.0,0.0,0.0
|
| 736 |
+
734,Sort star-shaped objects,0,0,0.0,0.0,0.0
|
| 737 |
+
735,Sort yellow star-shaped objects,0,0,0.0,0.0,0.0
|
| 738 |
+
736,Sort purple star-shaped objects,0,0,0.0,0.0,0.0
|
| 739 |
+
737,View phone screen,0,0,0.0,0.0,0.0
|
| 740 |
+
738,Viewing phone screen,0,0,0.0,0.0,0.0
|
| 741 |
+
739,Initiate star folding,0,0,0.0,0.0,0.0
|
| 742 |
+
740,Reach for next canned product,0,0,0.0,0.0,0.0
|
| 743 |
+
741,Place jar in box,0,0,0.0,0.0,0.0
|
| 744 |
+
742,Place pickle jar in box,0,0,0.0,0.0,0.0
|
| 745 |
+
743,Grasp product from shelf,0,0,0.0,0.0,0.0
|
| 746 |
+
744,Place red button,0,0,0.0,0.0,0.0
|
| 747 |
+
745,Move and place black buttons,0,0,0.0,0.0,0.0
|
| 748 |
+
746,Arrange red buttons,0,0,0.0,0.0,0.0
|
| 749 |
+
747,Adjust red button position,0,0,0.0,0.0,0.0
|
| 750 |
+
748,Withdraw hand from buttons,0,0,0.0,0.0,0.0
|
| 751 |
+
749,Arrive at a different workstation,0,0,0.0,0.0,0.0
|
| 752 |
+
750,Move vacuum cleaner hose,0,1,0.0,0.0,0.0
|
| 753 |
+
751,Place smartphone on cardboard,0,0,0.0,0.0,0.0
|
| 754 |
+
752,Reach into bag,0,0,0.0,0.0,0.0
|
| 755 |
+
753,Organize products,0,0,0.0,0.0,0.0
|
| 756 |
+
754,Close cardboard box,0,0,0.0,0.0,0.0
|
| 757 |
+
755,Pick up item,0,3,0.0,0.0,0.0
|
| 758 |
+
756,Stand up and walk away,0,0,0.0,0.0,0.0
|
| 759 |
+
757,Interact with colleagues,0,0,0.0,0.0,0.0
|
| 760 |
+
758,Moving hand towards cardboard stack,0,0,0.0,0.0,0.0
|
| 761 |
+
759,Put down water bottle,0,0,0.0,0.0,0.0
|
| 762 |
+
760,Placing piece on stack,0,0,0.0,0.0,0.0
|
| 763 |
+
761,Reach for and pick up smartphone,0,0,0.0,0.0,0.0
|
| 764 |
+
762,Move cardboard to pile,0,0,0.0,0.0,0.0
|
| 765 |
+
763,Fold cardboard sheet,0,0,0.0,0.0,0.0
|
| 766 |
+
764,Reach for shelving divider,0,0,0.0,0.0,0.0
|
| 767 |
+
765,Rearrange shelf item,0,0,0.0,0.0,0.0
|
| 768 |
+
766,Arrange paper strips,0,0,0.0,0.0,0.0
|
| 769 |
+
767,Place down strip,0,9,0.0,0.0,0.0
|
| 770 |
+
768,Move puzzle piece,0,2,0.0,0.0,0.0
|
| 771 |
+
769,Cap marker,0,0,0.0,0.0,0.0
|
| 772 |
+
770,Combine bead piles,0,0,0.0,0.0,0.0
|
| 773 |
+
771,Draw lines with pen and ruler,0,0,0.0,0.0,0.0
|
| 774 |
+
772,Put down phone,0,0,0.0,0.0,0.0
|
| 775 |
+
773,Pick up pasta box,0,0,0.0,0.0,0.0
|
| 776 |
+
774,Place gift box into bin,0,0,0.0,0.0,0.0
|
| 777 |
+
775,Remove plastic container from storage box,0,0,0.0,0.0,0.0
|
| 778 |
+
776,Hold ruler,0,0,0.0,0.0,0.0
|
| 779 |
+
777,Move pen away,0,0,0.0,0.0,0.0
|
| 780 |
+
778,Place crate on floor,0,0,0.0,0.0,0.0
|
| 781 |
+
779,Place smartphone on table,0,0,0.0,0.0,0.0
|
| 782 |
+
780,Discard paper towel,0,0,0.0,0.0,0.0
|
| 783 |
+
781,Release paper star,0,0,0.0,0.0,0.0
|
| 784 |
+
782,Place phone on table,0,0,0.0,0.0,0.0
|
| 785 |
+
783,Scrolling or navigating on phone,0,0,0.0,0.0,0.0
|
| 786 |
+
784,Hold electronic item,0,0,0.0,0.0,0.0
|
| 787 |
+
785,Inspect electronic item,0,0,0.0,0.0,0.0
|
| 788 |
+
786,Move pineapple chips,0,0,0.0,0.0,0.0
|
| 789 |
+
787,Mark paper list,0,0,0.0,0.0,0.0
|
| 790 |
+
788,Placing phone down,0,0,0.0,0.0,0.0
|
| 791 |
+
789,Pick up nut bar box,0,0,0.0,0.0,0.0
|
| 792 |
+
790,Pick up plastic bin,0,0,0.0,0.0,0.0
|
| 793 |
+
791,Pick up pickle jar,0,0,0.0,0.0,0.0
|
| 794 |
+
792,Pick up product from shelf,0,0,0.0,0.0,0.0
|
| 795 |
+
793,Place jar into shelf box,0,0,0.0,0.0,0.0
|
| 796 |
+
794,Wipe grocery shelf,0,0,0.0,0.0,0.0
|
| 797 |
+
795,Rearrange buttons,0,0,0.0,0.0,0.0
|
| 798 |
+
796,Release button,0,0,0.0,0.0,0.0
|
| 799 |
+
797,Pick up orange button,0,0,0.0,0.0,0.0
|
| 800 |
+
798,Arrange small buttons,0,0,0.0,0.0,0.0
|
| 801 |
+
799,Align buttons,0,0,0.0,0.0,0.0
|
| 802 |
+
800,Look around the table,0,0,0.0,0.0,0.0
|
| 803 |
+
801,Align red buttons,0,0,0.0,0.0,0.0
|
| 804 |
+
802,Reach for black button,0,0,0.0,0.0,0.0
|
| 805 |
+
803,Reach for buttons,0,0,0.0,0.0,0.0
|
| 806 |
+
804,Place and align button,0,0,0.0,0.0,0.0
|
| 807 |
+
805,Move hand,0,0,0.0,0.0,0.0
|
| 808 |
+
806,Move button to line,0,0,0.0,0.0,0.0
|
| 809 |
+
807,Reach for utility knife,0,0,0.0,0.0,0.0
|
| 810 |
+
808,Place down paper pieces,0,0,0.0,0.0,0.0
|
| 811 |
+
809,Switch to scissors,0,0,0.0,0.0,0.0
|
| 812 |
+
810,Place phone on shelf,0,10,0.0,0.0,0.0
|
| 813 |
+
811,Inspect product lid,0,0,0.0,0.0,0.0
|
| 814 |
+
812,Sweep floor debris,0,0,0.0,0.0,0.0
|
| 815 |
+
813,Adjust grip on container,0,1,0.0,0.0,0.0
|
| 816 |
+
814,Manipulate paper piece,0,0,0.0,0.0,0.0
|
| 817 |
+
815,Hold quilled paper coil,0,0,0.0,0.0,0.0
|
| 818 |
+
816,Place scissors aside,0,0,0.0,0.0,0.0
|
| 819 |
+
817,Finish placing cardboard cutouts,0,0,0.0,0.0,0.0
|
| 820 |
+
818,Fold cut cardboard,0,0,0.0,0.0,0.0
|
| 821 |
+
819,Look away,0,0,0.0,0.0,0.0
|
| 822 |
+
820,Pick up cut cardboard piece,0,0,0.0,0.0,0.0
|
| 823 |
+
821,Reposition scissors,0,1,0.0,0.0,0.0
|
| 824 |
+
822,Hold cardboard piece,7,0,0.0,0.0,0.0
|
| 825 |
+
823,Picking up stock,0,0,0.0,0.0,0.0
|
| 826 |
+
824,Carry container,0,0,0.0,0.0,0.0
|
| 827 |
+
825,Positioning cardboard on workspace,0,0,0.0,0.0,0.0
|
| 828 |
+
826,Stop sorting stars,0,0,0.0,0.0,0.0
|
| 829 |
+
827,Place knife down,0,0,0.0,0.0,0.0
|
| 830 |
+
828,Search for puzzle piece,20,3,0.0,0.0,0.0
|
| 831 |
+
829,Lift pen and shift ruler,0,0,0.0,0.0,0.0
|
| 832 |
+
830,Moving ruler,0,0,0.0,0.0,0.0
|
| 833 |
+
831,Hold beads,19,0,0.0,0.0,0.0
|
| 834 |
+
832,Adjusting fabric position,0,0,0.0,0.0,0.0
|
| 835 |
+
833,Pick up new cardboard piece,24,5,0.0,0.0,0.0
|
| 836 |
+
834,Gather cardboard pieces,0,0,0.0,0.0,0.0
|
| 837 |
+
835,Hold electronic accessory,0,1,0.0,0.0,0.0
|
| 838 |
+
836,Pick up electronic accessory,0,0,0.0,0.0,0.0
|
| 839 |
+
837,Place accessory box,0,0,0.0,0.0,0.0
|
| 840 |
+
838,Release product on shelf,0,0,0.0,0.0,0.0
|
| 841 |
+
839,Pick up new product from box,0,0,0.0,0.0,0.0
|
| 842 |
+
840,Pick up shopping bag,0,0,0.0,0.0,0.0
|
| 843 |
+
841,Move to shelf,3,0,0.0,0.0,0.0
|
| 844 |
+
842,Grasp snack package,0,0,0.0,0.0,0.0
|
| 845 |
+
843,Place snack in box,0,0,0.0,0.0,0.0
|
| 846 |
+
844,Place snack packages on shelf,0,0,0.0,0.0,0.0
|
| 847 |
+
845,Reach for snack package,0,0,0.0,0.0,0.0
|
| 848 |
+
846,Reach for item,0,0,0.0,0.0,0.0
|
| 849 |
+
847,Organize item on shelf,0,0,0.0,0.0,0.0
|
| 850 |
+
848,Place pen on cardboard,0,0,0.0,0.0,0.0
|
| 851 |
+
849,Adjust cardboard divider,0,0,0.0,0.0,0.0
|
| 852 |
+
850,Place finished star on table,0,0,0.0,0.0,0.0
|
| 853 |
+
851,Inspect shelf,0,0,0.0,0.0,0.0
|
| 854 |
+
852,Pick up snack packs,0,0,0.0,0.0,0.0
|
| 855 |
+
853,Move to shelf base,0,0,0.0,0.0,0.0
|
| 856 |
+
854,Place gift box on shelf,0,0,0.0,0.0,0.0
|
| 857 |
+
855,Place snack pouch on shelf,0,0,0.0,0.0,0.0
|
| 858 |
+
856,Sort Mahjong tiles,0,0,0.0,0.0,0.0
|
| 859 |
+
857,Pick up charging case,0,0,0.0,0.0,0.0
|
| 860 |
+
858,Place ruler on cardboard,0,0,0.0,0.0,0.0
|
| 861 |
+
859,Reposition tools,0,0,0.0,0.0,0.0
|
| 862 |
+
860,Position scissors for next cut,0,0,0.0,0.0,0.0
|
| 863 |
+
861,Tapping on smartphone screen,0,0,0.0,0.0,0.0
|
| 864 |
+
862,Positioning ruler on cardboard,0,0,0.0,0.0,0.0
|
| 865 |
+
863,Placing labeled square,0,0,0.0,0.0,0.0
|
| 866 |
+
864,Switching marker,0,0,0.0,0.0,0.0
|
| 867 |
+
865,Placing pen on table,0,0,0.0,0.0,0.0
|
| 868 |
+
866,Manipulate cardboard sheet,0,1,0.0,0.0,0.0
|
| 869 |
+
867,Interact with smartphone,21,10,0.0,0.0,0.0
|
| 870 |
+
868,Pick up retail item,0,0,0.0,0.0,0.0
|
| 871 |
+
869,Adjust retail item position,0,0,0.0,0.0,0.0
|
| 872 |
+
870,Observe surroundings,0,0,0.0,0.0,0.0
|
| 873 |
+
871,Manipulate paper stars,0,0,0.0,0.0,0.0
|
| 874 |
+
872,Pick up power bank,0,0,0.0,0.0,0.0
|
| 875 |
+
873,Rub hands together,0,0,0.0,0.0,0.0
|
| 876 |
+
874,Place star on table,0,3,0.0,0.0,0.0
|
| 877 |
+
875,Gather pieces,0,0,0.0,0.0,0.0
|
| 878 |
+
876,Select another item,0,8,0.0,0.0,0.0
|
| 879 |
+
877,Place container on floor,0,0,0.0,0.0,0.0
|
| 880 |
+
878,Place storage container on floor,0,2,0.0,0.0,0.0
|
| 881 |
+
879,Reorganize bin contents,0,0,0.0,0.0,0.0
|
| 882 |
+
880,Observe stocking,0,0,0.0,0.0,0.0
|
| 883 |
+
881,Manipulate quilled paper strips,0,0,0.0,0.0,0.0
|
| 884 |
+
882,Move blue beads,0,1,0.0,0.0,0.0
|
| 885 |
+
883,Place controller on table,0,0,0.0,0.0,0.0
|
| 886 |
+
884,Selecting new paper strip,0,0,0.0,0.0,0.0
|
| 887 |
+
885,Grasp electronic object,0,0,0.0,0.0,0.0
|
| 888 |
+
886,Reach for paper strip,0,0,0.0,0.0,0.0
|
| 889 |
+
887,Reach for canned food,0,0,0.0,0.0,0.0
|
| 890 |
+
888,Hold blue product box,0,0,0.0,0.0,0.0
|
| 891 |
+
889,Inspect product,0,0,0.0,0.0,0.0
|
| 892 |
+
890,Clean shelf,0,0,0.0,0.0,0.0
|
| 893 |
+
891,Walk towards shelf,0,0,0.0,0.0,0.0
|
| 894 |
+
892,Select product from box,0,0,0.0,0.0,0.0
|
| 895 |
+
893,Wipe ketchup bottle,0,0,0.0,0.0,0.0
|
| 896 |
+
894,Place ketchup bottle on shelf,0,0,0.0,0.0,0.0
|
| 897 |
+
895,Draw line with marker,0,0,0.0,0.0,0.0
|
| 898 |
+
896,Draw straight line,0,0,0.0,0.0,0.0
|
| 899 |
+
897,Mark straight line,0,0,0.0,0.0,0.0
|
| 900 |
+
898,Pick up small cardboard piece,0,0,0.0,0.0,0.0
|
| 901 |
+
899,Walk through office,0,0,0.0,0.0,0.0
|
| 902 |
+
900,Cut cardboard along line,0,0,0.0,0.0,0.0
|
| 903 |
+
901,Reposition hands and ruler,0,0,0.0,0.0,0.0
|
| 904 |
+
902,Align ruler with crease,0,0,0.0,0.0,0.0
|
| 905 |
+
903,Press fold,0,0,0.0,0.0,0.0
|
| 906 |
+
904,Cut cardboard strip with utility knife,0,0,0.0,0.0,0.0
|
| 907 |
+
905,Pick up dustpan,17,0,0.0,0.0,0.0
|
| 908 |
+
906,Hold container lid,25,0,0.0,0.0,0.0
|
| 909 |
+
907,Move towards the stove,9,0,0.0,0.0,0.0
|
| 910 |
+
908,Open stove pot lid,20,0,0.0,0.0,0.0
|
| 911 |
+
909,Closing the door,8,0,0.0,0.0,0.0
|
| 912 |
+
910,Picking up bottle,11,0,0.0,0.0,0.0
|
| 913 |
+
911,Wipe kitchen counter,16,0,0.0,0.0,0.0
|
| 914 |
+
912,Move towards kitchen area,15,0,0.0,0.0,0.0
|
| 915 |
+
913,Place cloth on floor,6,0,0.0,0.0,0.0
|
| 916 |
+
914,Reach for cleaning supplies,18,0,0.0,0.0,0.0
|
| 917 |
+
915,Remove cleaning bottle,11,0,0.0,0.0,0.0
|
| 918 |
+
916,Washing hands in sink,10,0,0.0,0.0,0.0
|
| 919 |
+
917,Grasping cleaning cloth,7,0,0.0,0.0,0.0
|
| 920 |
+
918,Wiping countertop,11,0,0.0,0.0,0.0
|
| 921 |
+
919,Lift pot lid,9,0,0.0,0.0,0.0
|
| 922 |
+
920,Stir contents,8,0,0.0,0.0,0.0
|
| 923 |
+
921,Place lid back,9,0,0.0,0.0,0.0
|
| 924 |
+
922,Adjust pot position,6,0,0.0,0.0,0.0
|
| 925 |
+
923,Move pot,7,0,0.0,0.0,0.0
|
| 926 |
+
924,Place towel,16,0,0.0,0.0,0.0
|
| 927 |
+
925,Start cutting,7,0,0.0,0.0,0.0
|
| 928 |
+
926,Cut along the marked line,51,0,0.0,0.0,0.0
|
| 929 |
+
927,Pick up item from bin,0,0,0.0,0.0,0.0
|
| 930 |
+
928,Hold item,0,0,0.0,0.0,0.0
|
| 931 |
+
929,Check smart watch,0,0,0.0,0.0,0.0
|
| 932 |
+
930,Pick up jar,0,0,0.0,0.0,0.0
|
| 933 |
+
931,Pick up sauce bottle,0,0,0.0,0.0,0.0
|
| 934 |
+
932,Place sauce bottle on shelf,0,0,0.0,0.0,0.0
|
| 935 |
+
933,Hold empty container,0,0,0.0,0.0,0.0
|
| 936 |
+
934,Assess shelf arrangement,0,0,0.0,0.0,0.0
|
| 937 |
+
935,Pick up bottle,0,0,0.0,0.0,0.0
|
| 938 |
+
936,Release foam strip,0,0,0.0,0.0,0.0
|
| 939 |
+
937,Observe craft layout,0,0,0.0,0.0,0.0
|
| 940 |
+
938,Reach for foam strips,0,0,0.0,0.0,0.0
|
| 941 |
+
939,Adjust foam strip,0,0,0.0,0.0,0.0
|
| 942 |
+
940,Align foam strip,0,0,0.0,0.0,0.0
|
| 943 |
+
941,Attach foam strip,0,0,0.0,0.0,0.0
|
| 944 |
+
942,Curve foam strip into loop,0,0,0.0,0.0,0.0
|
| 945 |
+
943,Press ends of foam strip together,0,0,0.0,0.0,0.0
|
| 946 |
+
944,Position yellow foam piece on strip,0,0,0.0,0.0,0.0
|
| 947 |
+
945,Press foam strip,0,0,0.0,0.0,0.0
|
| 948 |
+
946,Fold foam piece,0,0,0.0,0.0,0.0
|
| 949 |
+
947,Pinch foam strips,0,0,0.0,0.0,0.0
|
| 950 |
+
948,Pull blue foam strip,0,0,0.0,0.0,0.0
|
| 951 |
+
949,Tear blue foam strip,0,0,0.0,0.0,0.0
|
| 952 |
+
950,Pick up blue foam piece,0,0,0.0,0.0,0.0
|
| 953 |
+
951,Tear blue foam piece,0,0,0.0,0.0,0.0
|
| 954 |
+
952,Tear off blue foam piece,0,0,0.0,0.0,0.0
|
| 955 |
+
953,Peel foam strip,0,0,0.0,0.0,0.0
|
| 956 |
+
954,Move small blue foam piece towards the strip,0,0,0.0,0.0,0.0
|
| 957 |
+
955,Align blue strip,0,0,0.0,0.0,0.0
|
| 958 |
+
956,Press blue strip,0,0,0.0,0.0,0.0
|
| 959 |
+
957,Position blue strip,0,0,0.0,0.0,0.0
|
| 960 |
+
958,Lift blue strip,0,0,0.0,0.0,0.0
|
| 961 |
+
959,Hold blue strip,0,0,0.0,0.0,0.0
|
| 962 |
+
960,Peel blue strip,0,0,0.0,0.0,0.0
|
| 963 |
+
961,Align paper strip,0,0,0.0,0.0,0.0
|
| 964 |
+
962,Interlock paper strips,0,0,0.0,0.0,0.0
|
| 965 |
+
963,Turn away from table,0,0,0.0,0.0,0.0
|
| 966 |
+
964,Touch phone and paper strip,0,0,0.0,0.0,0.0
|
| 967 |
+
965,Attach material to paper strip,0,0,0.0,0.0,0.0
|
| 968 |
+
966,Pick up tool,0,0,0.0,0.0,0.0
|
| 969 |
+
967,Walk through the room,0,0,0.0,0.0,0.0
|
| 970 |
+
968,Walk down hallway,0,0,0.0,0.0,0.0
|
| 971 |
+
969,Reach for door handle,0,0,0.0,0.0,0.0
|
| 972 |
+
970,Grasp door handle,0,0,0.0,0.0,0.0
|
| 973 |
+
971,Walk to table,0,0,0.0,0.0,0.0
|
| 974 |
+
972,Pick up supplies from box,0,0,0.0,0.0,0.0
|
| 975 |
+
973,Approach work table,0,0,0.0,0.0,0.0
|
| 976 |
+
974,Touch colleague's back,0,0,0.0,0.0,0.0
|
| 977 |
+
975,Position the chair,0,0,0.0,0.0,0.0
|
| 978 |
+
976,Observe and walk through store,15,0,0.0,0.0,0.0
|
| 979 |
+
977,Inspect shelf condition,27,0,0.0,0.0,0.0
|
| 980 |
+
978,Approach boxes,12,0,0.0,0.0,0.0
|
| 981 |
+
979,Reach for wire hangers,13,0,0.0,0.0,0.0
|
| 982 |
+
980,Extract wire hangers from box,30,0,0.0,0.0,0.0
|
| 983 |
+
981,Bundle display hooks,22,0,0.0,0.0,0.0
|
| 984 |
+
982,Release hook,14,0,0.0,0.0,0.0
|
| 985 |
+
983,Move through aisle,10,0,0.0,0.0,0.0
|
| 986 |
+
984,Pick up items from the shopping bag,23,0,0.0,0.0,0.0
|
| 987 |
+
985,Place items on the shelf,6,0,0.0,0.0,0.0
|
| 988 |
+
986,Release cardboard piece and gesture,16,0,0.0,0.0,0.0
|
| 989 |
+
987,Move marker and adjust hand,8,0,0.0,0.0,0.0
|
| 990 |
+
988,Identify next cardboard piece,21,0,0.0,0.0,0.0
|
| 991 |
+
989,Observe and pause,11,0,0.0,0.0,0.0
|
| 992 |
+
990,Resume observation,4,0,0.0,0.0,0.0
|
| 993 |
+
991,Reach for and examine canned goods,0,0,0.0,0.0,0.0
|
| 994 |
+
992,Examine canned goods,0,0,0.0,0.0,0.0
|
| 995 |
+
993,Select and pick up a canned item,0,0,0.0,0.0,0.0
|
| 996 |
+
994,Place item back on shelf,0,0,0.0,0.0,0.0
|
| 997 |
+
995,Inspect Dior gift box,0,0,0.0,0.0,0.0
|
| 998 |
+
996,Move along the shelf,0,0,0.0,0.0,0.0
|
| 999 |
+
997,Select a bottle,0,0,0.0,0.0,0.0
|
| 1000 |
+
998,Place bottle back on shelf,0,0,0.0,0.0,0.0
|
| 1001 |
+
999,Pick up another bottle,0,0,0.0,0.0,0.0
|
| 1002 |
+
1000,Release bottle,0,0,0.0,0.0,0.0
|
| 1003 |
+
1001,Inspect bottle,0,0,0.0,0.0,0.0
|
| 1004 |
+
1002,Inspect almond package,0,0,0.0,0.0,0.0
|
| 1005 |
+
1003,Scan supermarket shelves,0,0,0.0,0.0,0.0
|
| 1006 |
+
1004,Move along the supermarket aisle,0,0,0.0,0.0,0.0
|
| 1007 |
+
1005,Reach for canned goods,0,0,0.0,0.0,0.0
|
| 1008 |
+
1006,Touch canned goods,0,0,0.0,0.0,0.0
|
| 1009 |
+
1007,Manipulate cardboard shape,0,0,0.0,0.0,0.0
|
| 1010 |
+
1008,Hold small cardboard pieces,0,0,0.0,0.0,0.0
|
| 1011 |
+
1009,Prepare to place cardboard,0,0,0.0,0.0,0.0
|
| 1012 |
+
1010,Reach for next can,18,0,0.0,0.0,0.0
|
| 1013 |
+
1011,Hold canned food,24,0,0.0,0.0,0.0
|
| 1014 |
+
1012,Retrieve next canned food item,17,0,0.0,0.0,0.0
|
| 1015 |
+
1013,Align canned food on shelf,9,0,0.0,0.0,0.0
|
| 1016 |
+
1014,Retrieve canned food from box,12,0,0.0,0.0,0.0
|
| 1017 |
+
1015,Place another canned food on shelf,11,0,0.0,0.0,0.0
|
| 1018 |
+
1016,Adjust canned food on shelf,9,0,0.0,0.0,0.0
|
| 1019 |
+
1017,Move hand away from shelf,8,0,0.0,0.0,0.0
|
| 1020 |
+
1018,Hold earbud case,21,0,0.0,0.0,0.0
|
| 1021 |
+
1019,sort craft materials,36,0,0.0,0.0,0.0
|
| 1022 |
+
1020,Manipulate craft piece,38,0,0.0,0.0,0.0
|
| 1023 |
+
1021,Manipulate craft paper strips,33,0,0.0,0.0,0.0
|
| 1024 |
+
1022,Operate smartphone,40,0,0.0,0.0,0.0
|
| 1025 |
+
1023,Release smartphone,7,0,0.0,0.0,0.0
|
| 1026 |
+
1024,Sort small craft pieces,39,0,0.0,0.0,0.0
|
| 1027 |
+
1025,Hold product package,0,0,0.0,0.0,0.0
|
| 1028 |
+
1026,Check phone,0,0,0.0,0.0,0.0
|
| 1029 |
+
1027,Hold charging cable,0,0,0.0,0.0,0.0
|
| 1030 |
+
1028,Hold items in hand,0,0,0.0,0.0,0.0
|
| 1031 |
+
1029,Hold and examine item,0,0,0.0,0.0,0.0
|
| 1032 |
+
1030,Remove item from bag,0,0,0.0,0.0,0.0
|
| 1033 |
+
1031,Pick up pack from shelf,0,0,0.0,0.0,0.0
|
| 1034 |
+
1032,fold purple ribbon,0,0,0.0,0.0,0.0
|
| 1035 |
+
1033,Fold ribbon,0,0,0.0,0.0,0.0
|
| 1036 |
+
1034,Hold small piece of ribbon,0,0,0.0,0.0,0.0
|
| 1037 |
+
1035,Position ribbon piece,0,0,0.0,0.0,0.0
|
| 1038 |
+
1036,Manipulate ribbon piece,0,0,0.0,0.0,0.0
|
| 1039 |
+
1037,Place ribbon onto project,0,0,0.0,0.0,0.0
|
| 1040 |
+
1038,Fold and manipulate ribbon,0,0,0.0,0.0,0.0
|
| 1041 |
+
1039,Manipulate ribbon knot,0,0,0.0,0.0,0.0
|
| 1042 |
+
1040,Secure ribbon with needle,0,0,0.0,0.0,0.0
|
| 1043 |
+
1041,Open paper lantern,29,0,0.0,0.0,0.0
|
| 1044 |
+
1042,Fold paper lantern,9,0,0.0,0.0,0.0
|
| 1045 |
+
1043,Grasp lantern,15,0,0.0,0.0,0.0
|
| 1046 |
+
1044,Grasp lantern component,15,0,0.0,0.0,0.0
|
| 1047 |
+
1045,Align paper lantern edges,29,0,0.0,0.0,0.0
|
| 1048 |
+
1046,Release lantern,13,0,0.0,0.0,0.0
|
| 1049 |
+
1047,Pick up packaged paper lantern component,12,0,0.0,0.0,0.0
|
| 1050 |
+
1048,Handle paper lantern component,19,0,0.0,0.0,0.0
|
| 1051 |
+
1049,Open folded paper lantern,21,0,0.0,0.0,0.0
|
| 1052 |
+
1050,Hold paper lantern,19,0,0.0,0.0,0.0
|
| 1053 |
+
1051,Apply adhesive tape to lantern,14,0,0.0,0.0,0.0
|
| 1054 |
+
1052,Remove paper lantern part from packaging,16,0,0.0,0.0,0.0
|
| 1055 |
+
1053,Remove plastic packaging,8,0,0.0,0.0,0.0
|
| 1056 |
+
1054,Open paper lantern component,24,0,0.0,0.0,0.0
|
| 1057 |
+
1055,Expand paper lantern,22,0,0.0,0.0,0.0
|
| 1058 |
+
1056,Align edges of paper lantern,6,0,0.0,0.0,0.0
|
| 1059 |
+
1057,Mark cardboard with ruler,0,0,0.0,0.0,0.0
|
| 1060 |
+
1058,Cut along the line,0,0,0.0,0.0,0.0
|
| 1061 |
+
1059,Release cardboard,0,0,0.0,0.0,0.0
|
| 1062 |
+
1060,Reposition utility knife,0,0,0.0,0.0,0.0
|
| 1063 |
+
1061,Tear off cardboard segment,0,0,0.0,0.0,0.0
|
| 1064 |
+
1062,Browsing smartphone content,0,0,0.0,0.0,0.0
|
| 1065 |
+
1063,Manipulate small component,0,0,0.0,0.0,0.0
|
| 1066 |
+
1064,Manipulate component on strip,0,0,0.0,0.0,0.0
|
| 1067 |
+
1065,Place strip on table,0,0,0.0,0.0,0.0
|
| 1068 |
+
1066,Manipulate component,0,0,0.0,0.0,0.0
|
| 1069 |
+
1067,Reach for craft items,18,0,0.0,0.0,0.0
|
| 1070 |
+
1068,Place hand on table,33,0,0.0,0.0,0.0
|
| 1071 |
+
1069,Browse smartphone screen,33,0,0.0,0.0,0.0
|
| 1072 |
+
1070,Scroll smartphone screen,31,0,0.0,0.0,0.0
|
| 1073 |
+
1071,Put down smartphone,26,0,0.0,0.0,0.0
|
| 1074 |
+
1072,Place smartphone down,24,0,0.0,0.0,0.0
|
| 1075 |
+
1073,Record count on notepad,0,0,0.0,0.0,0.0
|
| 1076 |
+
1074,Count and record paper stars,0,0,0.0,0.0,0.0
|
| 1077 |
+
1075,Record star count on paper,0,0,0.0,0.0,0.0
|
| 1078 |
+
1076,Connect cable to device,0,0,0.0,0.0,0.0
|
| 1079 |
+
1077,Place device on lap,0,0,0.0,0.0,0.0
|
| 1080 |
+
1078,Count and arrange paper stars,0,0,0.0,0.0,0.0
|
| 1081 |
+
1079,Count paper stars,0,0,0.0,0.0,0.0
|
| 1082 |
+
1080,Move hand to paper stars,0,0,0.0,0.0,0.0
|
| 1083 |
+
1081,Resume counting stars,0,0,0.0,0.0,0.0
|
| 1084 |
+
1082,Reviewing count record,0,0,0.0,0.0,0.0
|
| 1085 |
+
1083,Write on paper record,0,0,0.0,0.0,0.0
|
| 1086 |
+
1084,Update paper record,0,0,0.0,0.0,0.0
|
| 1087 |
+
1085,Adjust cardboard,0,0,0.0,0.0,0.0
|
| 1088 |
+
1086,Set down scissors and pick up power bank,0,0,0.0,0.0,0.0
|
| 1089 |
+
1087,Reposition cardboard for cutting,0,0,0.0,0.0,0.0
|
| 1090 |
+
1088,Arrange cardboard pieces,0,0,0.0,0.0,0.0
|
| 1091 |
+
1089,Mark cardboard strip with pen,0,0,0.0,0.0,0.0
|
| 1092 |
+
1090,Pick up puzzle piece,18,0,0.0,0.0,0.0
|
| 1093 |
+
1091,Place piece into puzzle,25,0,0.0,0.0,0.0
|
| 1094 |
+
1092,Manipulate puzzle piece,38,0,0.0,0.0,0.0
|
| 1095 |
+
1093,Observe puzzle progress,32,0,0.0,0.0,0.0
|
| 1096 |
+
1094,Reach for puzzle piece,16,0,0.0,0.0,0.0
|
| 1097 |
+
1095,Attempt to fit puzzle piece,31,0,0.0,0.0,0.0
|
| 1098 |
+
1096,Sort puzzle pieces,34,0,0.0,0.0,0.0
|
| 1099 |
+
1097,Walking across the room,17,0,0.0,0.0,0.0
|
| 1100 |
+
1098,Approaching the table,9,0,0.0,0.0,0.0
|
| 1101 |
+
1099,Preparing to craft,10,0,0.0,0.0,0.0
|
| 1102 |
+
1100,Picking up crafting material,12,0,0.0,0.0,0.0
|
| 1103 |
+
1101,Manipulate material,16,0,0.0,0.0,0.0
|
| 1104 |
+
1102,Place material,13,0,0.0,0.0,0.0
|
| 1105 |
+
1103,Manipulate yellow strip,31,0,0.0,0.0,0.0
|
| 1106 |
+
1104,Manipulating paper strips,22,0,0.0,0.0,0.0
|
| 1107 |
+
1105,Manipulate bead,23,0,0.0,0.0,0.0
|
| 1108 |
+
1106,Manipulate beads,22,0,0.0,0.0,0.0
|
| 1109 |
+
1107,Hold and manipulate paper strip,31,0,0.0,0.0,0.0
|
| 1110 |
+
1108,Repositioning ruler,0,0,0.0,0.0,0.0
|
| 1111 |
+
1109,Place down ruler and pen,0,0,0.0,0.0,0.0
|
| 1112 |
+
1110,Walk through hallway,0,0,0.0,0.0,0.0
|
| 1113 |
+
1111,Fold cardboard edge,0,0,0.0,0.0,0.0
|
| 1114 |
+
1112,Pick up marker,0,0,0.0,0.0,0.0
|
| 1115 |
+
1113,Drop cardboard square into box,0,0,0.0,0.0,0.0
|
| 1116 |
+
1114,Retrieve hand to table,0,0,0.0,0.0,0.0
|
| 1117 |
+
1115,Pick up cardboard stack,0,0,0.0,0.0,0.0
|
| 1118 |
+
1116,Walk with cardboard,0,0,0.0,0.0,0.0
|
| 1119 |
+
1117,Deposit cardboard squares,0,0,0.0,0.0,0.0
|
| 1120 |
+
1118,Move away from collection box,0,0,0.0,0.0,0.0
|
| 1121 |
+
1119,Walking through office hallway,0,0,0.0,0.0,0.0
|
| 1122 |
+
1120,Grasp cardboard sheet,0,0,0.0,0.0,0.0
|
| 1123 |
+
1121,Cut cardboard sheet with scissors,0,0,0.0,0.0,0.0
|
| 1124 |
+
1122,Sort cut cardboard,0,0,0.0,0.0,0.0
|
| 1125 |
+
1123,Cut cardboard sheet,0,0,0.0,0.0,0.0
|
| 1126 |
+
1124,Place cardboard square,0,0,0.0,0.0,0.0
|
| 1127 |
+
1125,Sort buttons,25,0,0.0,0.0,0.0
|
| 1128 |
+
1126,Arrange buttons in a line,29,0,0.0,0.0,0.0
|
| 1129 |
+
1127,Sort and arrange buttons,32,0,0.0,0.0,0.0
|
| 1130 |
+
1128,Sort button,36,0,0.0,0.0,0.0
|
| 1131 |
+
1129,Sort and adjust button line,29,0,0.0,0.0,0.0
|
| 1132 |
+
1130,Sort and place buttons,31,0,0.0,0.0,0.0
|
| 1133 |
+
1131,Walking in the hallway,13,0,0.0,0.0,0.0
|
| 1134 |
+
1132,Approaching and pressing the door switch,22,0,0.0,0.0,0.0
|
| 1135 |
+
1133,Entering the VR training room,16,0,0.0,0.0,0.0
|
| 1136 |
+
1134,Greeting/acknowledging participants,33,0,0.0,0.0,0.0
|
| 1137 |
+
1135,Move through the training room,20,0,0.0,0.0,0.0
|
| 1138 |
+
1136,Manipulate plastic strips,34,0,0.0,0.0,0.0
|
| 1139 |
+
1137,Manipulate plastic strip,37,0,0.0,0.0,0.0
|
| 1140 |
+
1138,Hold and bend plastic strip,16,0,0.0,0.0,0.0
|
| 1141 |
+
1139,Bend and manipulate plastic strip,37,0,0.0,0.0,0.0
|
| 1142 |
+
1140,Fold plastic strip,57,0,0.0,0.0,0.0
|
| 1143 |
+
1141,Sort buttons by color,0,0,0.0,0.0,0.0
|
| 1144 |
+
1142,Sort button by color,0,0,0.0,0.0,0.0
|
| 1145 |
+
1143,Place button in group,0,0,0.0,0.0,0.0
|
| 1146 |
+
1144,Move away from table,0,0,0.0,0.0,0.0
|
| 1147 |
+
1145,Return to sorting,0,0,0.0,0.0,0.0
|
| 1148 |
+
1146,Manipulate paper decoration,41,0,0.0,0.0,0.0
|
| 1149 |
+
1147,Manipulate paper edge,35,0,0.0,0.0,0.0
|
| 1150 |
+
1148,Placing paper strip,44,0,0.0,0.0,0.0
|
| 1151 |
+
1149,Securing paper structure,37,0,0.0,0.0,0.0
|
| 1152 |
+
1150,Manipulate adhesive strip,44,0,0.0,0.0,0.0
|
| 1153 |
+
1151,Secure paper edges with adhesive,40,0,0.0,0.0,0.0
|
| 1154 |
+
1152,Record count,18,0,0.0,0.0,0.0
|
| 1155 |
+
1153,Sort beads and write count,18,0,0.0,0.0,0.0
|
| 1156 |
+
1154,Counting and organizing beads,19,0,0.0,0.0,0.0
|
| 1157 |
+
1155,Pick up star bead,6,0,0.0,0.0,0.0
|
| 1158 |
+
1156,Place and count bead,27,0,0.0,0.0,0.0
|
| 1159 |
+
1157,Arrange star beads,15,0,0.0,0.0,0.0
|
| 1160 |
+
1158,Counting star beads,23,0,0.0,0.0,0.0
|
| 1161 |
+
1159,Adjust paper,9,0,0.0,0.0,0.0
|
| 1162 |
+
1160,Gather star beads,13,0,0.0,0.0,0.0
|
| 1163 |
+
1161,Arrange star beads for counting,16,0,0.0,0.0,0.0
|
| 1164 |
+
1162,Sort and count beads,27,0,0.0,0.0,0.0
|
| 1165 |
+
1163,Rinse cloth in sink,4,0,0.0,0.0,0.0
|
| 1166 |
+
1164,Reposition hand,7,0,0.0,0.0,0.0
|
| 1167 |
+
1165,Touch foam strip,0,0,0.0,0.0,0.0
|
| 1168 |
+
1166,Assemble foam strips,0,0,0.0,0.0,0.0
|
| 1169 |
+
1167,Press foam piece to strip,0,0,0.0,0.0,0.0
|
| 1170 |
+
1168,Walk towards other aisles,4,0,0.0,0.0,0.0
|
| 1171 |
+
1169,Place marked piece down,14,0,0.0,0.0,0.0
|
| 1172 |
+
1170,Gesturing,2,0,0.0,0.0,0.0
|
| 1173 |
+
1171,Prepare to resume cutting,0,0,0.0,0.0,0.0
|
| 1174 |
+
1172,Reach for next canned food,3,0,0.0,0.0,0.0
|
| 1175 |
+
1173,Move hand away,5,0,0.0,0.0,0.0
|
| 1176 |
+
1174,Sort craft items,6,0,0.0,0.0,0.0
|
| 1177 |
+
1175,Retrieving more beads,5,0,0.0,0.0,0.0
|
| 1178 |
+
1176,Pick up yellow item,0,0,0.0,0.0,0.0
|
| 1179 |
+
1177,Prepare to place bottle on shelf,0,0,0.0,0.0,0.0
|
| 1180 |
+
1178,Move ruler and tools,0,0,0.0,0.0,0.0
|
| 1181 |
+
1179,Transition to cutting,0,0,0.0,0.0,0.0
|
| 1182 |
+
1180,Position utility knife on cardboard,0,0,0.0,0.0,0.0
|
| 1183 |
+
1181,Place smartphone on stand,3,0,0.0,0.0,0.0
|
| 1184 |
+
1182,Move dustpan to side,3,0,0.0,0.0,0.0
|
| 1185 |
+
1183,Walking towards door,3,0,0.0,0.0,0.0
|
| 1186 |
+
1184,Grasp cleaning bottle,3,0,0.0,0.0,0.0
|
| 1187 |
+
1185,Pick up next item from bin,0,0,0.0,0.0,0.0
|
| 1188 |
+
1186,Inspect and place item on shelf,0,0,0.0,0.0,0.0
|
| 1189 |
+
1187,Place blue foam piece,0,0,0.0,0.0,0.0
|
| 1190 |
+
1188,Hold foam pieces,0,0,0.0,0.0,0.0
|
| 1191 |
+
1189,Fold blue strip,0,0,0.0,0.0,0.0
|
| 1192 |
+
1190,Pick up craft material,0,0,0.0,0.0,0.0
|
| 1193 |
+
1191,Enter workspace,0,0,0.0,0.0,0.0
|
| 1194 |
+
1192,Enter the room,0,0,0.0,0.0,0.0
|
| 1195 |
+
1193,Pull chair,0,0,0.0,0.0,0.0
|
| 1196 |
+
1194,Observe colleague and workspace,3,0,0.0,0.0,0.0
|
| 1197 |
+
1195,Pick up Dior gift box,0,0,0.0,0.0,0.0
|
| 1198 |
+
1196,Place back Dior gift box,0,0,0.0,0.0,0.0
|
| 1199 |
+
1197,Pick up canned good,0,0,0.0,0.0,0.0
|
| 1200 |
+
1198,Open earbud case,3,0,0.0,0.0,0.0
|
| 1201 |
+
1199,Retrieve items from bag,0,0,0.0,0.0,0.0
|
| 1202 |
+
1200,Adjust lantern string,3,0,0.0,0.0,0.0
|
| 1203 |
+
1201,Adjust lantern shape,3,0,0.0,0.0,0.0
|
| 1204 |
+
1202,Pick up electronic device,0,0,0.0,0.0,0.0
|
| 1205 |
+
1203,Pick up small piece of material,3,0,0.0,0.0,0.0
|
| 1206 |
+
1204,Use phone while crafting,3,0,0.0,0.0,0.0
|
| 1207 |
+
1205,Approaching work table,0,0,0.0,0.0,0.0
|
| 1208 |
+
1206,Set down utility knife,0,0,0.0,0.0,0.0
|
| 1209 |
+
1207,Prepare to cut cardboard,0,0,0.0,0.0,0.0
|
| 1210 |
+
1208,Score cardboard,0,0,0.0,0.0,0.0
|
| 1211 |
+
1209,Move cardboard sheet,0,0,0.0,0.0,0.0
|
| 1212 |
+
1210,Trim cardboard,0,0,0.0,0.0,0.0
|
results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/long_horizon_next_action/predictions.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/next_subtask_forecast/confusion_matrix.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/next_subtask_forecast/metrics.json
ADDED
|
@@ -0,0 +1,59 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"status": "pass",
|
| 3 |
+
"task": "next_subtask_forecast",
|
| 4 |
+
"task_display_name": "Next Subtask Forecast",
|
| 5 |
+
"model_family": "neural_mlp_metadata",
|
| 6 |
+
"source": "128_episode_qwen_jsonl_metadata",
|
| 7 |
+
"input_features": "frame/context metadata plus hashed prompt/options/main_task text; answer_json fields are excluded from inputs",
|
| 8 |
+
"split_policy": "train on train split, report held-out test split",
|
| 9 |
+
"num_train_windows": 25068,
|
| 10 |
+
"num_val_windows": 4496,
|
| 11 |
+
"num_test_windows": 3951,
|
| 12 |
+
"num_classes": 891,
|
| 13 |
+
"num_train_classes": 651,
|
| 14 |
+
"history": [
|
| 15 |
+
{
|
| 16 |
+
"epoch": 1,
|
| 17 |
+
"loss": 5.732333925288888,
|
| 18 |
+
"train_accuracy": 0.08217647997446945
|
| 19 |
+
},
|
| 20 |
+
{
|
| 21 |
+
"epoch": 7,
|
| 22 |
+
"loss": 0.5706693253221172,
|
| 23 |
+
"train_accuracy": 0.751515876815063
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 14,
|
| 27 |
+
"loss": 0.293251357785971,
|
| 28 |
+
"train_accuracy": 0.8487314504547631
|
| 29 |
+
},
|
| 30 |
+
{
|
| 31 |
+
"epoch": 21,
|
| 32 |
+
"loss": 0.2165332631249167,
|
| 33 |
+
"train_accuracy": 0.8814424764640179
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"epoch": 28,
|
| 37 |
+
"loss": 0.1831686576697289,
|
| 38 |
+
"train_accuracy": 0.8973990745173129
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 35,
|
| 42 |
+
"loss": 0.1616299121035939,
|
| 43 |
+
"train_accuracy": 0.9086883676400191
|
| 44 |
+
}
|
| 45 |
+
],
|
| 46 |
+
"device": "cuda",
|
| 47 |
+
"splits": {
|
| 48 |
+
"test": {
|
| 49 |
+
"accuracy": 0.0005062009617818274,
|
| 50 |
+
"balanced_accuracy": 0.0008888888888888888,
|
| 51 |
+
"macro_f1": 2.086049543676662e-05,
|
| 52 |
+
"weighted_f1": 1.1879553210003771e-05,
|
| 53 |
+
"num_eval_windows": 3951,
|
| 54 |
+
"num_classes": 891
|
| 55 |
+
}
|
| 56 |
+
},
|
| 57 |
+
"primary_metric": "macro_f1",
|
| 58 |
+
"primary_score": 2.086049543676662e-05
|
| 59 |
+
}
|
results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/next_subtask_forecast/per_class_metrics.csv
ADDED
|
@@ -0,0 +1,892 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
| 1 |
+
class_id,class_name,support,predicted,precision,recall,f1
|
| 2 |
+
0,Retrieving items from boxes,0,0,0.0,0.0,0.0
|
| 3 |
+
1,Placing products on shelf,0,0,0.0,0.0,0.0
|
| 4 |
+
2,Stocking canned goods,0,4,0.0,0.0,0.0
|
| 5 |
+
3,Arranging products on shelf,0,0,0.0,0.0,0.0
|
| 6 |
+
4,Organizing shelf workspace,0,0,0.0,0.0,0.0
|
| 7 |
+
5,Finalizing shelf placement,0,0,0.0,0.0,0.0
|
| 8 |
+
6,Wiping and organizing grocery products,0,0,0.0,0.0,0.0
|
| 9 |
+
7,Wiping shelves and cleaning product items,0,0,0.0,0.0,0.0
|
| 10 |
+
8,Cleaning products and retrieving items from boxes,0,0,0.0,0.0,0.0
|
| 11 |
+
9,Cleaning and organizing products in boxes,0,0,0.0,0.0,0.0
|
| 12 |
+
10,Cleaning and boxing jars,0,0,0.0,0.0,0.0
|
| 13 |
+
11,Wiping shelves,0,0,0.0,0.0,0.0
|
| 14 |
+
12,Cleaning shelves and handling pickle jars,0,0,0.0,0.0,0.0
|
| 15 |
+
13,Organizing pickle jars and maintaining cleaning tools,0,0,0.0,0.0,0.0
|
| 16 |
+
14,Wiping shelves and picking up products,0,3,0.0,0.0,0.0
|
| 17 |
+
15,Wiping product jars and shelf stocking,0,0,0.0,0.0,0.0
|
| 18 |
+
16,Wiping product jars,0,0,0.0,0.0,0.0
|
| 19 |
+
17,Cleaning shelves and relocating,0,0,0.0,0.0,0.0
|
| 20 |
+
18,Picking up and packing products,0,11,0.0,0.0,0.0
|
| 21 |
+
19,Holding and inspecting product,0,22,0.0,0.0,0.0
|
| 22 |
+
20,Transferring products from box to shelf,0,52,0.0,0.0,0.0
|
| 23 |
+
21,Adjusting posture while holding item,0,19,0.0,0.0,0.0
|
| 24 |
+
22,Grasping and placing products on shelf,0,0,0.0,0.0,0.0
|
| 25 |
+
23,Rearranging items from shelf back to box,0,0,0.0,0.0,0.0
|
| 26 |
+
24,Sorting and grouping buttons,0,0,0.0,0.0,0.0
|
| 27 |
+
25,Organizing buttons into patterns,0,0,0.0,0.0,0.0
|
| 28 |
+
26,Refining button layout,0,0,0.0,0.0,0.0
|
| 29 |
+
27,Sorting buttons by color,0,11,0.0,0.0,0.0
|
| 30 |
+
28,Aligning button rows,0,0,0.0,0.0,0.0
|
| 31 |
+
29,Final button arrangement,0,0,0.0,0.0,0.0
|
| 32 |
+
30,Cutting cardboard pieces with scissors,0,2,0.0,0.0,0.0
|
| 33 |
+
31,Manipulating cardboard piece,0,0,0.0,0.0,0.0
|
| 34 |
+
32,Positioning scissors to cut cardboard,0,2,0.0,0.0,0.0
|
| 35 |
+
33,Releasing scissors,0,3,0.0,0.0,0.0
|
| 36 |
+
34,Manipulating cardboard and picking up scissors,0,0,0.0,0.0,0.0
|
| 37 |
+
35,Cutting cardboard,0,11,0.0,0.0,0.0
|
| 38 |
+
36,Picking up and positioning scissors,0,8,0.0,0.0,0.0
|
| 39 |
+
37,Transitioning to new workstation,0,0,0.0,0.0,0.0
|
| 40 |
+
38,Marking dimensions on cardboard,0,0,0.0,0.0,0.0
|
| 41 |
+
39,Cutting cardboard with scissors,0,333,0.0,0.0,0.0
|
| 42 |
+
40,Finishing cut and placing scissors down,0,0,0.0,0.0,0.0
|
| 43 |
+
41,unknown,18,1516,0.0013192612137203166,0.1111111111111111,0.002607561929595828
|
| 44 |
+
42,Positioning ruler for measurement,0,2,0.0,0.0,0.0
|
| 45 |
+
43,Marking lines with pen,0,4,0.0,0.0,0.0
|
| 46 |
+
44,Adjusting marker and ruler,0,0,0.0,0.0,0.0
|
| 47 |
+
45,Drawing lines and checking smartphone,0,0,0.0,0.0,0.0
|
| 48 |
+
46,Marking and cutting cardboard,0,0,0.0,0.0,0.0
|
| 49 |
+
47,Aligning ruler for final measurements,0,0,0.0,0.0,0.0
|
| 50 |
+
48,Finalizing marks on cardboard,0,0,0.0,0.0,0.0
|
| 51 |
+
49,Connecting power cables to a portable charger,0,3,0.0,0.0,0.0
|
| 52 |
+
50,Preparing workspace for craft activity,0,0,0.0,0.0,0.0
|
| 53 |
+
51,Crafting with paper strips,0,1,0.0,0.0,0.0
|
| 54 |
+
52,Folding paper strips,0,63,0.0,0.0,0.0
|
| 55 |
+
53,Folding and organizing paper strips,0,0,0.0,0.0,0.0
|
| 56 |
+
54,Folding paper strips while using phone,0,4,0.0,0.0,0.0
|
| 57 |
+
55,Manipulating paper strips,0,17,0.0,0.0,0.0
|
| 58 |
+
56,Adjusting and placing down paper pieces,0,0,0.0,0.0,0.0
|
| 59 |
+
57,Finalizing and releasing folded paper,0,0,0.0,0.0,0.0
|
| 60 |
+
58,Fold paper strip,0,0,0.0,0.0,0.0
|
| 61 |
+
59,Fold paper strip into knot,0,0,0.0,0.0,0.0
|
| 62 |
+
60,Fold paper strip into lucky star,0,0,0.0,0.0,0.0
|
| 63 |
+
61,Inflate paper star,0,0,0.0,0.0,0.0
|
| 64 |
+
62,Folding purple paper strip,0,0,0.0,0.0,0.0
|
| 65 |
+
63,Holding and creasing purple paper,0,0,0.0,0.0,0.0
|
| 66 |
+
64,Releasing paper and reaching for phone,0,0,0.0,0.0,0.0
|
| 67 |
+
65,Organizing paper strips,0,0,0.0,0.0,0.0
|
| 68 |
+
66,Preparation and initial cutting with utility knife,0,0,0.0,0.0,0.0
|
| 69 |
+
67,Cutting and separating cardboard pieces,0,0,0.0,0.0,0.0
|
| 70 |
+
68,Cutting cardboard with utility knife,0,0,0.0,0.0,0.0
|
| 71 |
+
69,Marking cardboard piece,0,66,0.0,0.0,0.0
|
| 72 |
+
70,Marking cardboard piece and preparing workspace,0,0,0.0,0.0,0.0
|
| 73 |
+
71,Retrieving tools from bag,0,0,0.0,0.0,0.0
|
| 74 |
+
72,Retrieving smartphone,0,2,0.0,0.0,0.0
|
| 75 |
+
73,Measuring and adjusting workspace,0,4,0.0,0.0,0.0
|
| 76 |
+
74,Marking cardboard with pen,0,0,0.0,0.0,0.0
|
| 77 |
+
75,Drawing guide lines on cardboard,0,0,0.0,0.0,0.0
|
| 78 |
+
76,Walking towards the desk,0,0,0.0,0.0,0.0
|
| 79 |
+
77,Preparing materials and positioning hands for quilling,0,0,0.0,0.0,0.0
|
| 80 |
+
78,Manipulating and releasing quilling strips,0,0,0.0,0.0,0.0
|
| 81 |
+
79,Manipulating and releasing paper strips,0,10,0.0,0.0,0.0
|
| 82 |
+
80,Beginning to roll the quilling strip,0,7,0.0,0.0,0.0
|
| 83 |
+
81,Typing on smartphone while working with paper,0,0,0.0,0.0,0.0
|
| 84 |
+
82,Checking stock information,0,1,0.0,0.0,0.0
|
| 85 |
+
83,Organizing products on shelf,0,0,0.0,0.0,0.0
|
| 86 |
+
84,Handling shipping box,0,2,0.0,0.0,0.0
|
| 87 |
+
85,Placing items on shelf,0,8,0.0,0.0,0.0
|
| 88 |
+
86,Assessing shelf status and relocating,0,0,0.0,0.0,0.0
|
| 89 |
+
87,Inspecting and approaching shelf,0,0,0.0,0.0,0.0
|
| 90 |
+
88,Adjusting items on shelf,0,1,0.0,0.0,0.0
|
| 91 |
+
89,Removing and discarding damaged items,0,0,0.0,0.0,0.0
|
| 92 |
+
90,Sweeping floor debris,0,0,0.0,0.0,0.0
|
| 93 |
+
91,Reaching for products and preparing the shelf,0,0,0.0,0.0,0.0
|
| 94 |
+
92,Peeling and disposing of shelf labels,0,0,0.0,0.0,0.0
|
| 95 |
+
93,Removing old shelf labels,0,73,0.0,0.0,0.0
|
| 96 |
+
94,Removing labels and moving along the shelf,0,0,0.0,0.0,0.0
|
| 97 |
+
95,Repositioning stool for the next section,0,0,0.0,0.0,0.0
|
| 98 |
+
96,Observing shelf and relocating to next aisle,0,3,0.0,0.0,0.0
|
| 99 |
+
97,Reviewing new product labels,0,0,0.0,0.0,0.0
|
| 100 |
+
98,Selecting and collecting bottled goods,0,0,0.0,0.0,0.0
|
| 101 |
+
99,Inspecting supplement bottle,0,0,0.0,0.0,0.0
|
| 102 |
+
100,Handling miscellaneous items,0,0,0.0,0.0,0.0
|
| 103 |
+
101,Navigating store and browsing shelves,0,0,0.0,0.0,0.0
|
| 104 |
+
102,Selecting and evaluating items,0,0,0.0,0.0,0.0
|
| 105 |
+
103,Adding items to shopping container,0,0,0.0,0.0,0.0
|
| 106 |
+
104,Selecting and collecting oil bottles,0,0,0.0,0.0,0.0
|
| 107 |
+
105,Inspecting and packing supplement bottle,0,0,0.0,0.0,0.0
|
| 108 |
+
106,Selecting and packing spice jars,0,0,0.0,0.0,0.0
|
| 109 |
+
107,Finalizing spice jar selection,0,0,0.0,0.0,0.0
|
| 110 |
+
108,Sorting beads by color,0,2,0.0,0.0,0.0
|
| 111 |
+
109,Refining bead arrangement with marker,0,0,0.0,0.0,0.0
|
| 112 |
+
110,Arranging star-shaped beads,0,1,0.0,0.0,0.0
|
| 113 |
+
111,Fine-tuning bead placement,0,145,0.0,0.0,0.0
|
| 114 |
+
112,Moving away from workstation,0,3,0.0,0.0,0.0
|
| 115 |
+
113,Walking through the room,0,0,0.0,0.0,0.0
|
| 116 |
+
114,Returning to desk and setting up smartphone,0,1,0.0,0.0,0.0
|
| 117 |
+
115,Preparing for further sorting,0,2,0.0,0.0,0.0
|
| 118 |
+
116,Sorting beads,0,0,0.0,0.0,0.0
|
| 119 |
+
117,Cutting cardboard with a utility knife,0,0,0.0,0.0,0.0
|
| 120 |
+
118,Adjusting ruler position,0,0,0.0,0.0,0.0
|
| 121 |
+
119,Marking guidelines on cardboard,0,0,0.0,0.0,0.0
|
| 122 |
+
120,Drawing lines on cardboard,0,0,0.0,0.0,0.0
|
| 123 |
+
121,Drawing lines along ruler,0,0,0.0,0.0,0.0
|
| 124 |
+
122,Marking grid lines,0,0,0.0,0.0,0.0
|
| 125 |
+
123,Capping marker and marking lines,0,0,0.0,0.0,0.0
|
| 126 |
+
124,Capping marker and positioning ruler,0,0,0.0,0.0,0.0
|
| 127 |
+
125,Organizing cardboard pieces,15,0,0.0,0.0,0.0
|
| 128 |
+
126,Walking in workspace,0,0,0.0,0.0,0.0
|
| 129 |
+
127,Charging power bank,0,0,0.0,0.0,0.0
|
| 130 |
+
128,Manipulate and inspect colorful pieces,0,0,0.0,0.0,0.0
|
| 131 |
+
129,Manipulate colorful pieces,0,0,0.0,0.0,0.0
|
| 132 |
+
130,Sort colorful pieces,0,0,0.0,0.0,0.0
|
| 133 |
+
131,Handle power bank and cable,0,0,0.0,0.0,0.0
|
| 134 |
+
132,Touch pieces in box and interact with colleagues,0,0,0.0,0.0,0.0
|
| 135 |
+
133,Hold small white box,0,0,0.0,0.0,0.0
|
| 136 |
+
134,"Place white box, adjust smartphone, and resume sorting",0,0,0.0,0.0,0.0
|
| 137 |
+
135,Sort small colorful pieces,0,0,0.0,0.0,0.0
|
| 138 |
+
136,Sort colorful paper pieces,0,0,0.0,0.0,0.0
|
| 139 |
+
137,Check instructions on phone,0,2,0.0,0.0,0.0
|
| 140 |
+
138,Draw lines and patterns on cardboard,0,0,0.0,0.0,0.0
|
| 141 |
+
139,Trace and remove pattern,0,0,0.0,0.0,0.0
|
| 142 |
+
140,Trace and remove pattern piece,0,2,0.0,0.0,0.0
|
| 143 |
+
141,Cut out cardboard pattern,0,0,0.0,0.0,0.0
|
| 144 |
+
142,Cut cardboard pattern,0,16,0.0,0.0,0.0
|
| 145 |
+
143,Adjust position and check phone,0,0,0.0,0.0,0.0
|
| 146 |
+
144,Prepare tools for marking,0,0,0.0,0.0,0.0
|
| 147 |
+
145,Mark cardboard for cutting,0,12,0.0,0.0,0.0
|
| 148 |
+
146,Cut cardboard with utility knife,0,0,0.0,0.0,0.0
|
| 149 |
+
147,Reposition and cut cardboard,0,0,0.0,0.0,0.0
|
| 150 |
+
148,Hold quilling paper,0,0,0.0,0.0,0.0
|
| 151 |
+
149,Release paper strip,0,0,0.0,0.0,0.0
|
| 152 |
+
150,Roll quilling paper,0,0,0.0,0.0,0.0
|
| 153 |
+
151,Handle and prepare paper coil,0,0,0.0,0.0,0.0
|
| 154 |
+
152,Manipulate quilled paper strip,0,0,0.0,0.0,0.0
|
| 155 |
+
153,Release and prepare new strip,0,0,0.0,0.0,0.0
|
| 156 |
+
154,Manipulate small paper segment,0,0,0.0,0.0,0.0
|
| 157 |
+
155,Place down paper segment and reach for supplies,0,0,0.0,0.0,0.0
|
| 158 |
+
156,Clear workspace and pick up phone,0,0,0.0,0.0,0.0
|
| 159 |
+
157,Browse and interact with phone interface,0,0,0.0,0.0,0.0
|
| 160 |
+
158,Browsing phone interface,0,0,0.0,0.0,0.0
|
| 161 |
+
159,Pick up and inspect light blue strip,0,0,0.0,0.0,0.0
|
| 162 |
+
160,Manipulate light blue strip,0,0,0.0,0.0,0.0
|
| 163 |
+
161,Cutting cardboard tube,0,0,0.0,0.0,0.0
|
| 164 |
+
162,Stacking cardboard pieces,0,0,0.0,0.0,0.0
|
| 165 |
+
163,Positioning and cutting cardboard,0,1,0.0,0.0,0.0
|
| 166 |
+
164,Cutting and placing cardboard piece,0,4,0.0,0.0,0.0
|
| 167 |
+
165,Preparing tools and materials,0,0,0.0,0.0,0.0
|
| 168 |
+
166,Cutting cardboard piece,0,0,0.0,0.0,0.0
|
| 169 |
+
167,Cutting and releasing cardboard piece,0,0,0.0,0.0,0.0
|
| 170 |
+
168,Approaching workstation,0,1,0.0,0.0,0.0
|
| 171 |
+
169,Cutting cardboard into triangles,0,0,0.0,0.0,0.0
|
| 172 |
+
170,Cutting cardboard and picking up smartphone,0,0,0.0,0.0,0.0
|
| 173 |
+
171,Moving cardboard cutouts,0,0,0.0,0.0,0.0
|
| 174 |
+
172,Cleaning up workstation,0,0,0.0,0.0,0.0
|
| 175 |
+
173,Organizing tools and materials,0,0,0.0,0.0,0.0
|
| 176 |
+
174,Cutting cardboard shapes,0,3,0.0,0.0,0.0
|
| 177 |
+
175,Cutting cardboard triangles,0,0,0.0,0.0,0.0
|
| 178 |
+
176,Sorting cardboard shapes and holding marker,0,0,0.0,0.0,0.0
|
| 179 |
+
177,Marking cardboard,0,0,0.0,0.0,0.0
|
| 180 |
+
178,Inspecting pieces and switching to scissors,0,0,0.0,0.0,0.0
|
| 181 |
+
179,Cutting cardboard strips with scissors,0,0,0.0,0.0,0.0
|
| 182 |
+
180,Cutting and organizing cardboard pieces,0,7,0.0,0.0,0.0
|
| 183 |
+
181,Inspecting and folding cardboard pieces,0,0,0.0,0.0,0.0
|
| 184 |
+
182,Performing precision cuts on cardboard,0,0,0.0,0.0,0.0
|
| 185 |
+
183,Folding cardboard and handling utility knife,0,0,0.0,0.0,0.0
|
| 186 |
+
184,Inspecting and placing cardboard strips,0,0,0.0,0.0,0.0
|
| 187 |
+
185,Gathering and boxing inventory,0,0,0.0,0.0,0.0
|
| 188 |
+
186,Organizing cans into a storage box,0,0,0.0,0.0,0.0
|
| 189 |
+
187,Placing cans onto the shelf,0,0,0.0,0.0,0.0
|
| 190 |
+
188,Arranging shelf display,0,0,0.0,0.0,0.0
|
| 191 |
+
189,Preparing to organize container bin,0,0,0.0,0.0,0.0
|
| 192 |
+
190,Placing items into the bin,0,0,0.0,0.0,0.0
|
| 193 |
+
191,Inspecting and placing cans on shelf,0,0,0.0,0.0,0.0
|
| 194 |
+
192,Moving along the aisle to assess stock,0,0,0.0,0.0,0.0
|
| 195 |
+
193,Organizing shelf display,0,0,0.0,0.0,0.0
|
| 196 |
+
194,Replenishing shelf stock,0,0,0.0,0.0,0.0
|
| 197 |
+
195,Holding and grasping product bags,0,1,0.0,0.0,0.0
|
| 198 |
+
196,Placing product bags on shelf,0,0,0.0,0.0,0.0
|
| 199 |
+
197,Positioning shelving dividers,0,0,0.0,0.0,0.0
|
| 200 |
+
198,Placing items and transitioning,0,2,0.0,0.0,0.0
|
| 201 |
+
199,Retrieving and carrying containers,0,0,0.0,0.0,0.0
|
| 202 |
+
200,"Placing, rearranging, and cleaning shelf items",0,0,0.0,0.0,0.0
|
| 203 |
+
201,Stocking product boxes,0,10,0.0,0.0,0.0
|
| 204 |
+
202,Retrieving next product,0,7,0.0,0.0,0.0
|
| 205 |
+
203,Placing and adjusting plush toys,0,0,0.0,0.0,0.0
|
| 206 |
+
204,Organizing shelf products,0,0,0.0,0.0,0.0
|
| 207 |
+
205,Reaching for products,0,0,0.0,0.0,0.0
|
| 208 |
+
206,Marking cardboard squares,0,0,0.0,0.0,0.0
|
| 209 |
+
207,Walking to workspace,0,0,0.0,0.0,0.0
|
| 210 |
+
208,Moving to workspace,0,0,0.0,0.0,0.0
|
| 211 |
+
209,Arranging cardboard squares,0,0,0.0,0.0,0.0
|
| 212 |
+
210,Stacking cardboard squares,0,0,0.0,0.0,0.0
|
| 213 |
+
211,Sorting colorful paper stars,0,0,0.0,0.0,0.0
|
| 214 |
+
212,Stopping sorting activity,0,0,0.0,0.0,0.0
|
| 215 |
+
213,Leaving the room and retrieving object,0,0,0.0,0.0,0.0
|
| 216 |
+
214,Returning to the workspace,0,0,0.0,0.0,0.0
|
| 217 |
+
215,Resuming sorting paper stars,0,0,0.0,0.0,0.0
|
| 218 |
+
216,Holding cardboard pieces,0,0,0.0,0.0,0.0
|
| 219 |
+
217,Cutting cardboard and placing knife down,0,0,0.0,0.0,0.0
|
| 220 |
+
218,Cutting cardboard strip,0,0,0.0,0.0,0.0
|
| 221 |
+
219,Positioning cardboard piece,0,0,0.0,0.0,0.0
|
| 222 |
+
220,Aligning cardboard strip,0,0,0.0,0.0,0.0
|
| 223 |
+
221,Holding cardboard with ruler,0,0,0.0,0.0,0.0
|
| 224 |
+
222,Moving utility knife along ruler,0,0,0.0,0.0,0.0
|
| 225 |
+
223,Sliding utility knife along ruler,0,0,0.0,0.0,0.0
|
| 226 |
+
224,Guiding utility knife along ruler,0,0,0.0,0.0,0.0
|
| 227 |
+
225,Marking lines on cardboard,0,3,0.0,0.0,0.0
|
| 228 |
+
226,Prepare workspace and tools,0,8,0.0,0.0,0.0
|
| 229 |
+
227,Arrange paper strips,0,0,0.0,0.0,0.0
|
| 230 |
+
228,Manipulate paper strips,86,3,0.0,0.0,0.0
|
| 231 |
+
229,Select and handle paper strips,0,60,0.0,0.0,0.0
|
| 232 |
+
230,Bend and shape paper strips,0,0,0.0,0.0,0.0
|
| 233 |
+
231,Hold small object,0,2,0.0,0.0,0.0
|
| 234 |
+
232,Observe workspace,0,2,0.0,0.0,0.0
|
| 235 |
+
233,Placing and scanning for puzzle pieces,0,8,0.0,0.0,0.0
|
| 236 |
+
234,Scanning for and placing puzzle pieces,0,20,0.0,0.0,0.0
|
| 237 |
+
235,Placing puzzle piece,0,0,0.0,0.0,0.0
|
| 238 |
+
236,Positioning puzzle piece,0,20,0.0,0.0,0.0
|
| 239 |
+
237,Manipulating puzzle pieces,0,1,0.0,0.0,0.0
|
| 240 |
+
238,"Moving, placing, and adjusting puzzle pieces",0,11,0.0,0.0,0.0
|
| 241 |
+
239,Adjusting puzzle piece,0,29,0.0,0.0,0.0
|
| 242 |
+
240,Adjusting a puzzle piece,0,0,0.0,0.0,0.0
|
| 243 |
+
241,Draw lines using a ruler,0,0,0.0,0.0,0.0
|
| 244 |
+
242,Reposition ruler and draw lines,0,0,0.0,0.0,0.0
|
| 245 |
+
243,Steadying the ruler and pen,0,0,0.0,0.0,0.0
|
| 246 |
+
244,Cap marker and place down,0,0,0.0,0.0,0.0
|
| 247 |
+
245,Walk to and approach packing area,0,0,0.0,0.0,0.0
|
| 248 |
+
246,Pack beads into box,0,0,0.0,0.0,0.0
|
| 249 |
+
247,Pick up and deposit beads into box,0,0,0.0,0.0,0.0
|
| 250 |
+
248,Retrieve and move cardboard tray,0,0,0.0,0.0,0.0
|
| 251 |
+
249,Sort beads and adjust tray position,0,0,0.0,0.0,0.0
|
| 252 |
+
250,Sort beads by color,0,41,0.0,0.0,0.0
|
| 253 |
+
251,Sort beads and adjust phone,0,0,0.0,0.0,0.0
|
| 254 |
+
252,Sort beads,0,16,0.0,0.0,0.0
|
| 255 |
+
253,Cut light green fabric,0,0,0.0,0.0,0.0
|
| 256 |
+
254,Cut fabric with scissors,0,0,0.0,0.0,0.0
|
| 257 |
+
255,Adjust fabric for cutting,0,0,0.0,0.0,0.0
|
| 258 |
+
256,Adjust and cut fabric,0,0,0.0,0.0,0.0
|
| 259 |
+
257,Mark fabric with pen and remove ruler,0,0,0.0,0.0,0.0
|
| 260 |
+
258,Mark fabric with pen,0,0,0.0,0.0,0.0
|
| 261 |
+
259,Mark fabric,0,0,0.0,0.0,0.0
|
| 262 |
+
260,Mark fabric with pen and ruler,0,0,0.0,0.0,0.0
|
| 263 |
+
261,Cutting and placing cardboard,0,0,0.0,0.0,0.0
|
| 264 |
+
262,Gathering cardboard pieces,0,1,0.0,0.0,0.0
|
| 265 |
+
263,Pick up electronic accessory from box,0,0,0.0,0.0,0.0
|
| 266 |
+
264,Place accessory on shelf,0,3,0.0,0.0,0.0
|
| 267 |
+
265,Pick up and place accessory on shelf,0,0,0.0,0.0,0.0
|
| 268 |
+
266,Reorganize items in box,0,0,0.0,0.0,0.0
|
| 269 |
+
267,Transition to new product selection,0,0,0.0,0.0,0.0
|
| 270 |
+
268,Pick up and place product on shelf,0,1,0.0,0.0,0.0
|
| 271 |
+
269,Pick up product from box,0,7,0.0,0.0,0.0
|
| 272 |
+
270,Stock multiple products on shelf,0,0,0.0,0.0,0.0
|
| 273 |
+
271,Move product towards shelf,0,0,0.0,0.0,0.0
|
| 274 |
+
272,Carry shopping bag,0,0,0.0,0.0,0.0
|
| 275 |
+
273,Hang shopping bag and exit area,0,0,0.0,0.0,0.0
|
| 276 |
+
274,Picking and moving items to shelf,0,0,0.0,0.0,0.0
|
| 277 |
+
275,Placing items and returning to box,0,0,0.0,0.0,0.0
|
| 278 |
+
276,Stocking and repositioning box,0,0,0.0,0.0,0.0
|
| 279 |
+
277,Stocking products on shelf,0,0,0.0,0.0,0.0
|
| 280 |
+
278,Handling snack packages,0,0,0.0,0.0,0.0
|
| 281 |
+
279,Placing snack packages on shelf,0,0,0.0,0.0,0.0
|
| 282 |
+
280,Organizing snack packages in box,0,0,0.0,0.0,0.0
|
| 283 |
+
281,Transporting snack packages to shelf,0,0,0.0,0.0,0.0
|
| 284 |
+
282,Organizing snacks in box,0,0,0.0,0.0,0.0
|
| 285 |
+
283,Adjusting snack package,0,6,0.0,0.0,0.0
|
| 286 |
+
284,Opening cardboard box,0,4,0.0,0.0,0.0
|
| 287 |
+
285,Aligning plastic containers on the shelf,0,0,0.0,0.0,0.0
|
| 288 |
+
286,Reaching for and adjusting shelf containers,0,0,0.0,0.0,0.0
|
| 289 |
+
287,Adjusting container positions,0,0,0.0,0.0,0.0
|
| 290 |
+
288,Placing containers on the shelf,0,1,0.0,0.0,0.0
|
| 291 |
+
289,Adjusting items on the shelf,0,0,0.0,0.0,0.0
|
| 292 |
+
290,Transferring items from shelf to shopping bag,0,5,0.0,0.0,0.0
|
| 293 |
+
291,Retrieving items for bag placement,0,0,0.0,0.0,0.0
|
| 294 |
+
292,Organizing shelf and placing plush toy into bag,0,0,0.0,0.0,0.0
|
| 295 |
+
293,Preparing shopping bag,0,2,0.0,0.0,0.0
|
| 296 |
+
294,Placing items into and organizing shopping bag,0,0,0.0,0.0,0.0
|
| 297 |
+
295,Retrieving items from shelf,0,1,0.0,0.0,0.0
|
| 298 |
+
296,Finalizing item placement into shopping bag,0,0,0.0,0.0,0.0
|
| 299 |
+
297,Sort star-shaped beads,0,1,0.0,0.0,0.0
|
| 300 |
+
298,Sort beads on the table,0,5,0.0,0.0,0.0
|
| 301 |
+
299,Sort beads on table,0,0,0.0,0.0,0.0
|
| 302 |
+
300,Hold instructional sign,0,0,0.0,0.0,0.0
|
| 303 |
+
301,Pick up and place star-shaped beads,0,13,0.0,0.0,0.0
|
| 304 |
+
302,Reposition sign and organize beads,0,5,0.0,0.0,0.0
|
| 305 |
+
303,Measuring and marking cardboard for crafting,0,0,0.0,0.0,0.0
|
| 306 |
+
304,Sorting origami stars,0,0,0.0,0.0,0.0
|
| 307 |
+
305,Fetching materials,0,0,0.0,0.0,0.0
|
| 308 |
+
306,Returning to desk,0,0,0.0,0.0,0.0
|
| 309 |
+
307,Collecting origami stars,0,0,0.0,0.0,0.0
|
| 310 |
+
308,Sorting light blue origami stars,0,0,0.0,0.0,0.0
|
| 311 |
+
309,Sorting origami stars by color,0,0,0.0,0.0,0.0
|
| 312 |
+
310,Moving origami stars,0,0,0.0,0.0,0.0
|
| 313 |
+
311,Cutting cardboard with scissors and checking phone,0,0,0.0,0.0,0.0
|
| 314 |
+
312,Resuming cardboard cutting,0,0,0.0,0.0,0.0
|
| 315 |
+
313,Finishing cutting and switching to phone,0,0,0.0,0.0,0.0
|
| 316 |
+
314,Using phone and drinking water,0,1,0.0,0.0,0.0
|
| 317 |
+
315,Setting down water and picking up phone,0,0,0.0,0.0,0.0
|
| 318 |
+
316,Using phone,31,0,0.0,0.0,0.0
|
| 319 |
+
317,Resuming cutting cardboard,0,0,0.0,0.0,0.0
|
| 320 |
+
318,Vacuuming the carpet,0,5,0.0,0.0,0.0
|
| 321 |
+
319,Pushing the vacuum cleaner,0,0,0.0,0.0,0.0
|
| 322 |
+
320,Moving and adjusting the vacuum cleaner,0,0,0.0,0.0,0.0
|
| 323 |
+
321,Vacuuming the carpet edge,0,0,0.0,0.0,0.0
|
| 324 |
+
322,Vacuuming the carpet corner,0,0,0.0,0.0,0.0
|
| 325 |
+
323,Moving the vacuum cleaner,0,0,0.0,0.0,0.0
|
| 326 |
+
324,Vacuuming along the wall edge,0,0,0.0,0.0,0.0
|
| 327 |
+
325,Fold paper strip into star,0,0,0.0,0.0,0.0
|
| 328 |
+
326,Arrange Mahjong tiles,0,0,0.0,0.0,0.0
|
| 329 |
+
327,Rearrange Mahjong tiles,0,76,0.0,0.0,0.0
|
| 330 |
+
328,Adjust Mahjong tiles,0,5,0.0,0.0,0.0
|
| 331 |
+
329,Reach for and adjust Mahjong tiles,0,107,0.0,0.0,0.0
|
| 332 |
+
330,Rearrange Mahjong tile,0,3,0.0,0.0,0.0
|
| 333 |
+
331,Adjust and align Mahjong tiles,0,9,0.0,0.0,0.0
|
| 334 |
+
332,"Adjust, move, and realign Mahjong tiles",0,2,0.0,0.0,0.0
|
| 335 |
+
333,Cutting cardboard square,0,0,0.0,0.0,0.0
|
| 336 |
+
334,Trimming cardboard piece,0,0,0.0,0.0,0.0
|
| 337 |
+
335,Retrieve food items from boxes,0,0,0.0,0.0,0.0
|
| 338 |
+
336,Pick up cereal boxes,0,7,0.0,0.0,0.0
|
| 339 |
+
337,Carry cereal boxes to aisle,0,0,0.0,0.0,0.0
|
| 340 |
+
338,Retrieve and transport cereal,0,0,0.0,0.0,0.0
|
| 341 |
+
339,Transport cereal to shelf,0,15,0.0,0.0,0.0
|
| 342 |
+
340,Transport pasta to shelf,0,1,0.0,0.0,0.0
|
| 343 |
+
341,Handle container from box,0,0,0.0,0.0,0.0
|
| 344 |
+
342,Reach for items in box,0,6,0.0,0.0,0.0
|
| 345 |
+
343,Pick up grocery item,0,6,0.0,0.0,0.0
|
| 346 |
+
344,Place grocery item on shelf,0,10,0.0,0.0,0.0
|
| 347 |
+
345,Clean and inspect shelf,0,10,0.0,0.0,0.0
|
| 348 |
+
346,Prepare shelf for stocking,0,3,0.0,0.0,0.0
|
| 349 |
+
347,Retrieve snack packs,0,0,0.0,0.0,0.0
|
| 350 |
+
348,Clean shelf surface,0,0,0.0,0.0,0.0
|
| 351 |
+
349,Organize inventory and reach for products,0,0,0.0,0.0,0.0
|
| 352 |
+
350,Stocking snack packets on the shelf,0,0,0.0,0.0,0.0
|
| 353 |
+
351,Sorting gift boxes into a bin,0,0,0.0,0.0,0.0
|
| 354 |
+
352,Stocking gift boxes on the shelf,0,0,0.0,0.0,0.0
|
| 355 |
+
353,Organizing snack pouches into containers,0,0,0.0,0.0,0.0
|
| 356 |
+
354,Stocking snack pouches on the shelf,0,0,0.0,0.0,0.0
|
| 357 |
+
355,Relocating storage bins along the aisle,0,0,0.0,0.0,0.0
|
| 358 |
+
356,Clearing space on the shelf,0,0,0.0,0.0,0.0
|
| 359 |
+
357,Rearranging containers on the shelf,0,0,0.0,0.0,0.0
|
| 360 |
+
358,Stocking containers on the shelf,0,0,0.0,0.0,0.0
|
| 361 |
+
359,Holding smartphone,28,3,0.0,0.0,0.0
|
| 362 |
+
360,Preparing workspace,0,0,0.0,0.0,0.0
|
| 363 |
+
361,Positioning newspaper and scissors,0,0,0.0,0.0,0.0
|
| 364 |
+
362,Cutting newspaper,0,0,0.0,0.0,0.0
|
| 365 |
+
363,Cutting and pausing,0,0,0.0,0.0,0.0
|
| 366 |
+
364,Resuming cutting,0,0,0.0,0.0,0.0
|
| 367 |
+
365,Cutting and adjusting scissors,0,0,0.0,0.0,0.0
|
| 368 |
+
366,Resuming cutting newspaper,0,0,0.0,0.0,0.0
|
| 369 |
+
367,Arrange tiles into row,0,0,0.0,0.0,0.0
|
| 370 |
+
368,Adjust tile alignment,0,0,0.0,0.0,0.0
|
| 371 |
+
369,Adjust tiles on stack,0,0,0.0,0.0,0.0
|
| 372 |
+
370,Pick up and place tiles on stack,0,17,0.0,0.0,0.0
|
| 373 |
+
371,Measuring and marking cardboard for cutting,0,7,0.0,0.0,0.0
|
| 374 |
+
372,Interruption: handling charging case,0,0,0.0,0.0,0.0
|
| 375 |
+
373,Hold paper strip,0,0,0.0,0.0,0.0
|
| 376 |
+
374,Manipulate paper strip,44,0,0.0,0.0,0.0
|
| 377 |
+
375,Cutting initial cardboard pieces,0,0,0.0,0.0,0.0
|
| 378 |
+
376,Measuring and marking cardboard with ruler,0,0,0.0,0.0,0.0
|
| 379 |
+
377,Marking cardboard and preparing to cut,0,0,0.0,0.0,0.0
|
| 380 |
+
378,Aligning cardboard for cutting,0,0,0.0,0.0,0.0
|
| 381 |
+
379,Cutting cardboard sheet,0,0,0.0,0.0,0.0
|
| 382 |
+
380,Measuring and marking cardboard,0,0,0.0,0.0,0.0
|
| 383 |
+
381,Cutting cardboard strips,0,0,0.0,0.0,0.0
|
| 384 |
+
382,Final cardboard cutting,0,0,0.0,0.0,0.0
|
| 385 |
+
383,Typing on smartphone,0,0,0.0,0.0,0.0
|
| 386 |
+
384,Scrolling on smartphone,0,50,0.0,0.0,0.0
|
| 387 |
+
385,Scrolling and tapping on smartphone,0,0,0.0,0.0,0.0
|
| 388 |
+
386,Browsing photo gallery,0,0,0.0,0.0,0.0
|
| 389 |
+
387,Typing message on smartphone,0,0,0.0,0.0,0.0
|
| 390 |
+
388,Tapping and putting away smartphone,0,0,0.0,0.0,0.0
|
| 391 |
+
389,Stop measuring and transition to smartphone usage,0,0,0.0,0.0,0.0
|
| 392 |
+
390,Position ruler and draw initial lines,0,0,0.0,0.0,0.0
|
| 393 |
+
391,Draw and reposition ruler,0,0,0.0,0.0,0.0
|
| 394 |
+
392,Prepare for further marking,0,0,0.0,0.0,0.0
|
| 395 |
+
393,Align ruler and draw line,0,0,0.0,0.0,0.0
|
| 396 |
+
394,Mark lines on cardboard,0,0,0.0,0.0,0.0
|
| 397 |
+
395,Remove tools after marking,0,0,0.0,0.0,0.0
|
| 398 |
+
396,Final alignment and marking,0,0,0.0,0.0,0.0
|
| 399 |
+
397,Walking to workstation,0,0,0.0,0.0,0.0
|
| 400 |
+
398,Assembling cardboard base,0,0,0.0,0.0,0.0
|
| 401 |
+
399,Marking cardboard measurements,0,0,0.0,0.0,0.0
|
| 402 |
+
400,Marking and positioning cardboard,0,0,0.0,0.0,0.0
|
| 403 |
+
401,Adjusting cardboard layout,0,0,0.0,0.0,0.0
|
| 404 |
+
402,Cutting cardboard pieces,49,50,0.0,0.0,0.0
|
| 405 |
+
403,Placing canned goods onto the shelf,0,0,0.0,0.0,0.0
|
| 406 |
+
404,Placing canned goods onto the shelf and retrieving container,0,0,0.0,0.0,0.0
|
| 407 |
+
405,Positioning container near the shelf,0,0,0.0,0.0,0.0
|
| 408 |
+
406,Organizing container contents,0,0,0.0,0.0,0.0
|
| 409 |
+
407,Placing and arranging cans on the shelf,0,0,0.0,0.0,0.0
|
| 410 |
+
408,Adjusting canned goods on the shelf,0,0,0.0,0.0,0.0
|
| 411 |
+
409,Stocking canned goods onto the shelf,0,0,0.0,0.0,0.0
|
| 412 |
+
410,Wiping the plastic jar,0,0,0.0,0.0,0.0
|
| 413 |
+
411,Inspecting the cleaned plastic jar,0,0,0.0,0.0,0.0
|
| 414 |
+
412,Transitioning from jar to tin can,0,0,0.0,0.0,0.0
|
| 415 |
+
413,Inspecting shelf contents,0,1,0.0,0.0,0.0
|
| 416 |
+
414,Cutting and measuring cardboard,0,0,0.0,0.0,0.0
|
| 417 |
+
415,Stabilizing cardboard for cutting,0,0,0.0,0.0,0.0
|
| 418 |
+
416,Positioning ruler for cutting,0,0,0.0,0.0,0.0
|
| 419 |
+
417,Labeling cardboard squares,0,0,0.0,0.0,0.0
|
| 420 |
+
418,Labeling and organizing cardboard squares,0,0,0.0,0.0,0.0
|
| 421 |
+
419,Labeling cardboard square,0,0,0.0,0.0,0.0
|
| 422 |
+
420,Labeling and placing cardboard squares,0,2,0.0,0.0,0.0
|
| 423 |
+
421,Labeling and placing cardboard square,0,5,0.0,0.0,0.0
|
| 424 |
+
422,Labeling and switching markers,0,4,0.0,0.0,0.0
|
| 425 |
+
423,Labeling and retrieving cardboard pieces,0,4,0.0,0.0,0.0
|
| 426 |
+
424,Positioning cardboard pieces,0,0,0.0,0.0,0.0
|
| 427 |
+
425,Adjusting and folding cardboard,0,4,0.0,0.0,0.0
|
| 428 |
+
426,Observing workspace,0,1,0.0,0.0,0.0
|
| 429 |
+
427,Arranging buttons on the table,0,0,0.0,0.0,0.0
|
| 430 |
+
428,Arranging buttons,0,4,0.0,0.0,0.0
|
| 431 |
+
429,Sorting buttons,0,0,0.0,0.0,0.0
|
| 432 |
+
430,Sorting orange buttons,0,0,0.0,0.0,0.0
|
| 433 |
+
431,Sorting orange button,0,0,0.0,0.0,0.0
|
| 434 |
+
432,Moving hand over pile and sorting orange buttons,0,1,0.0,0.0,0.0
|
| 435 |
+
433,Moving orange buttons,0,2,0.0,0.0,0.0
|
| 436 |
+
434,Arranging orange buttons,0,9,0.0,0.0,0.0
|
| 437 |
+
435,folding paper strips into stars,0,0,0.0,0.0,0.0
|
| 438 |
+
436,folding paper strips and retrieving stapler,0,0,0.0,0.0,0.0
|
| 439 |
+
437,Drawing grid lines with a ruler and pen,0,0,0.0,0.0,0.0
|
| 440 |
+
438,Drawing grid lines with a pen,0,0,0.0,0.0,0.0
|
| 441 |
+
439,Drawing grid lines and repositioning cardboard,0,0,0.0,0.0,0.0
|
| 442 |
+
440,Drawing grid lines with a ruler,0,0,0.0,0.0,0.0
|
| 443 |
+
441,Drawing grid lines,0,0,0.0,0.0,0.0
|
| 444 |
+
442,folding paper stars and typing on smartphone,0,0,0.0,0.0,0.0
|
| 445 |
+
443,typing on smartphone,0,0,0.0,0.0,0.0
|
| 446 |
+
444,folding paper strip,0,0,0.0,0.0,0.0
|
| 447 |
+
445,folding paper star,0,0,0.0,0.0,0.0
|
| 448 |
+
446,manipulating paper star and using smartphone,0,0,0.0,0.0,0.0
|
| 449 |
+
447,manipulating paper strip,0,0,0.0,0.0,0.0
|
| 450 |
+
448,Observe workspace and reach for beads,0,0,0.0,0.0,0.0
|
| 451 |
+
449,Sort purple beads,0,1,0.0,0.0,0.0
|
| 452 |
+
450,Write on paper,0,0,0.0,0.0,0.0
|
| 453 |
+
451,Gathering star beads,0,0,0.0,0.0,0.0
|
| 454 |
+
452,Sort beads by hand,0,8,0.0,0.0,0.0
|
| 455 |
+
453,Pick up and place canned goods on shelf,0,0,0.0,0.0,0.0
|
| 456 |
+
454,Hold and carry tray of canned goods,0,0,0.0,0.0,0.0
|
| 457 |
+
455,Move towards shelf and position tray,0,0,0.0,0.0,0.0
|
| 458 |
+
456,Sort canned goods in tray,0,0,0.0,0.0,0.0
|
| 459 |
+
457,Align canned goods on shelf,0,1,0.0,0.0,0.0
|
| 460 |
+
458,Handle crate of cans,0,0,0.0,0.0,0.0
|
| 461 |
+
459,Wiping and cleaning retail items,0,0,0.0,0.0,0.0
|
| 462 |
+
460,Adjusting retail items on shelf,0,0,0.0,0.0,0.0
|
| 463 |
+
461,Arranging items on shelf,0,0,0.0,0.0,0.0
|
| 464 |
+
462,Folding and sorting paper stars while handling a water bottle,0,0,0.0,0.0,0.0
|
| 465 |
+
463,Folding and sorting paper stars,0,4,0.0,0.0,0.0
|
| 466 |
+
464,Organizing stars into a row,0,0,0.0,0.0,0.0
|
| 467 |
+
465,Reaching for and picking up stars,0,0,0.0,0.0,0.0
|
| 468 |
+
466,Manipulating paper stars,0,0,0.0,0.0,0.0
|
| 469 |
+
467,Holding writing materials,0,0,0.0,0.0,0.0
|
| 470 |
+
468,Recording star count,0,0,0.0,0.0,0.0
|
| 471 |
+
469,Holding pen and paper,0,0,0.0,0.0,0.0
|
| 472 |
+
470,Counting and recording stars,0,0,0.0,0.0,0.0
|
| 473 |
+
471,Using smartphone,26,0,0.0,0.0,0.0
|
| 474 |
+
472,Resuming recording star count,0,0,0.0,0.0,0.0
|
| 475 |
+
473,Arranging paper stars,0,0,0.0,0.0,0.0
|
| 476 |
+
474,Cutting and preparing cardboard pieces,0,0,0.0,0.0,0.0
|
| 477 |
+
475,Cleaning up workspace and moving items,0,0,0.0,0.0,0.0
|
| 478 |
+
476,Washing hands,0,1,0.0,0.0,0.0
|
| 479 |
+
477,Assembling cardboard boxes,0,0,0.0,0.0,0.0
|
| 480 |
+
478,Pick up and begin folding paper strip,0,0,0.0,0.0,0.0
|
| 481 |
+
479,Form paper strip into a star,0,0,0.0,0.0,0.0
|
| 482 |
+
480,Manipulate star and prepare next strip,0,0,0.0,0.0,0.0
|
| 483 |
+
481,Folding paper strip into lucky star,0,0,0.0,0.0,0.0
|
| 484 |
+
482,Folding paper strip,0,0,0.0,0.0,0.0
|
| 485 |
+
483,Folding lucky star,0,0,0.0,0.0,0.0
|
| 486 |
+
484,Manipulating paper star,0,0,0.0,0.0,0.0
|
| 487 |
+
485,Manipulating paper strip,0,0,0.0,0.0,0.0
|
| 488 |
+
486,Finalizing paper star,0,0,0.0,0.0,0.0
|
| 489 |
+
487,Sorting small colored tiles,0,0,0.0,0.0,0.0
|
| 490 |
+
488,Picking up and placing tiles,0,0,0.0,0.0,0.0
|
| 491 |
+
489,Sorting tiles by color,0,0,0.0,0.0,0.0
|
| 492 |
+
490,Sorting and counting beads,0,66,0.0,0.0,0.0
|
| 493 |
+
491,Cut section from newspaper,0,0,0.0,0.0,0.0
|
| 494 |
+
492,Tear newspaper,0,0,0.0,0.0,0.0
|
| 495 |
+
493,Hold newspaper,0,0,0.0,0.0,0.0
|
| 496 |
+
494,Align and fold newspaper,0,0,0.0,0.0,0.0
|
| 497 |
+
495,Reposition and cut newspaper,0,0,0.0,0.0,0.0
|
| 498 |
+
496,Cut newspaper,0,0,0.0,0.0,0.0
|
| 499 |
+
497,Cut along the newspaper edge,0,9,0.0,0.0,0.0
|
| 500 |
+
498,Browse mobile phone,0,30,0.0,0.0,0.0
|
| 501 |
+
499,Browse mobile phone and cut newspaper,0,0,0.0,0.0,0.0
|
| 502 |
+
500,Hold and cut newspaper with scissors,0,0,0.0,0.0,0.0
|
| 503 |
+
501,Cut newspaper and place scissors on table,0,0,0.0,0.0,0.0
|
| 504 |
+
502,Sorting small star-shaped plastic pieces,0,0,0.0,0.0,0.0
|
| 505 |
+
503,Sorting and reaching for plastic pieces,0,0,0.0,0.0,0.0
|
| 506 |
+
504,Sorting small plastic pieces,0,0,0.0,0.0,0.0
|
| 507 |
+
505,Sorting pieces and writing on paper,0,0,0.0,0.0,0.0
|
| 508 |
+
506,Sorting plastic pieces,0,0,0.0,0.0,0.0
|
| 509 |
+
507,Gathering and boxing plastic pieces,0,0,0.0,0.0,0.0
|
| 510 |
+
508,Boxing pieces and picking up phone,0,0,0.0,0.0,0.0
|
| 511 |
+
509,Typing and navigating on phone,0,0,0.0,0.0,0.0
|
| 512 |
+
510,Scrolling and viewing content on phone,0,0,0.0,0.0,0.0
|
| 513 |
+
511,Selecting and bagging electronic accessories,0,0,0.0,0.0,0.0
|
| 514 |
+
512,Picking up and bagging a charging cable,0,0,0.0,0.0,0.0
|
| 515 |
+
513,Bagging a held electronic item,0,0,0.0,0.0,0.0
|
| 516 |
+
514,Picking up and bagging an electronic item,0,2,0.0,0.0,0.0
|
| 517 |
+
515,"Cleaning, inspecting, and bagging an electronic item",0,3,0.0,0.0,0.0
|
| 518 |
+
516,Cleaning and bagging an electronic item,0,0,0.0,0.0,0.0
|
| 519 |
+
517,Inspecting and bagging a smartphone box,0,0,0.0,0.0,0.0
|
| 520 |
+
518,Holding and bagging a smartphone box,0,0,0.0,0.0,0.0
|
| 521 |
+
519,Examining a product,0,0,0.0,0.0,0.0
|
| 522 |
+
520,Picking and stocking items from container,0,20,0.0,0.0,0.0
|
| 523 |
+
521,Stocking items and carrying container,0,12,0.0,0.0,0.0
|
| 524 |
+
522,Moving container and stocking items,0,6,0.0,0.0,0.0
|
| 525 |
+
523,Retrieving and shelving container,0,13,0.0,0.0,0.0
|
| 526 |
+
524,Stocking items and reaching for container,0,151,0.0,0.0,0.0
|
| 527 |
+
525,Placing container on floor,0,35,0.0,0.0,0.0
|
| 528 |
+
526,Preparing container on shelf,0,47,0.0,0.0,0.0
|
| 529 |
+
527,Organizing canned goods in container,0,17,0.0,0.0,0.0
|
| 530 |
+
528,Stocking products from bin onto shelf,0,1,0.0,0.0,0.0
|
| 531 |
+
529,Finalizing shelf placement and moving bin,0,55,0.0,0.0,0.0
|
| 532 |
+
530,Walking along the aisle,0,0,0.0,0.0,0.0
|
| 533 |
+
531,Moving plastic storage bin,0,0,0.0,0.0,0.0
|
| 534 |
+
532,Collecting canned food into bin,0,0,0.0,0.0,0.0
|
| 535 |
+
533,Placing canned food onto shelf,0,0,0.0,0.0,0.0
|
| 536 |
+
534,Holding container of canned food,0,0,0.0,0.0,0.0
|
| 537 |
+
535,Moving towards aisle,0,0,0.0,0.0,0.0
|
| 538 |
+
536,Approaching restocking supplies,0,0,0.0,0.0,0.0
|
| 539 |
+
537,Retrieving plastic container and moving to aisle,0,0,0.0,0.0,0.0
|
| 540 |
+
538,Forming quilled paper shapes,0,0,0.0,0.0,0.0
|
| 541 |
+
539,Manipulating and placing paper shapes,0,0,0.0,0.0,0.0
|
| 542 |
+
540,Selecting and manipulating paper strips,0,0,0.0,0.0,0.0
|
| 543 |
+
541,Transitioning and observing workspace,0,0,0.0,0.0,0.0
|
| 544 |
+
542,Sorting quilled paper pieces,0,0,0.0,0.0,0.0
|
| 545 |
+
543,Walking to storage area,0,0,0.0,0.0,0.0
|
| 546 |
+
544,Returning to workspace,0,0,0.0,0.0,0.0
|
| 547 |
+
545,Organizing paper pieces into piles,0,0,0.0,0.0,0.0
|
| 548 |
+
546,Manipulating quilled paper,0,0,0.0,0.0,0.0
|
| 549 |
+
547,Sorting pieces and retrieving smartphone,0,1,0.0,0.0,0.0
|
| 550 |
+
548,Sorting cardboard pieces,0,0,0.0,0.0,0.0
|
| 551 |
+
549,Scanning workspace,0,0,0.0,0.0,0.0
|
| 552 |
+
550,Sorting and reaching for pieces,0,0,0.0,0.0,0.0
|
| 553 |
+
551,Interacting with phone,0,12,0.0,0.0,0.0
|
| 554 |
+
552,Sorting and stacking cardboard pieces,0,0,0.0,0.0,0.0
|
| 555 |
+
553,Marking list and sorting beads,0,0,0.0,0.0,0.0
|
| 556 |
+
554,Marking paper and adjusting piles,0,0,0.0,0.0,0.0
|
| 557 |
+
555,Sorting blue beads and marking list,0,0,0.0,0.0,0.0
|
| 558 |
+
556,Completing list and moving away from desk,0,0,0.0,0.0,0.0
|
| 559 |
+
557,Walking through office,0,0,0.0,0.0,0.0
|
| 560 |
+
558,Returning to table and placing controller,0,0,0.0,0.0,0.0
|
| 561 |
+
559,Sorting blue beads and writing on paper,0,7,0.0,0.0,0.0
|
| 562 |
+
560,Sorting beads and writing on paper,0,0,0.0,0.0,0.0
|
| 563 |
+
561,Cutting and folding cardboard shapes,0,1,0.0,0.0,0.0
|
| 564 |
+
562,Retrieving materials,0,0,0.0,0.0,0.0
|
| 565 |
+
563,Cutting and adjusting cardboard pieces,0,17,0.0,0.0,0.0
|
| 566 |
+
564,Repositioning and cutting cardboard pieces,0,2,0.0,0.0,0.0
|
| 567 |
+
565,Rolling paper strips into coils,0,0,0.0,0.0,0.0
|
| 568 |
+
566,Finishing coil and selecting new strip,0,4,0.0,0.0,0.0
|
| 569 |
+
567,Positioning paper strip,0,24,0.0,0.0,0.0
|
| 570 |
+
568,Manipulating tools and quilling materials,0,3,0.0,0.0,0.0
|
| 571 |
+
569,Walking to and approaching workspace,0,0,0.0,0.0,0.0
|
| 572 |
+
570,Interacting with coworker,0,1,0.0,0.0,0.0
|
| 573 |
+
571,Walking through workspace,0,0,0.0,0.0,0.0
|
| 574 |
+
572,Manipulating small object,0,45,0.0,0.0,0.0
|
| 575 |
+
573,Manipulating paper quilling piece,0,4,0.0,0.0,0.0
|
| 576 |
+
574,Holding and retrieving paper strips,0,0,0.0,0.0,0.0
|
| 577 |
+
575,Holding quilled paper piece,0,0,0.0,0.0,0.0
|
| 578 |
+
576,Holding and aligning paper strip,0,2,0.0,0.0,0.0
|
| 579 |
+
577,Holding and rotating paper strip,0,23,0.0,0.0,0.0
|
| 580 |
+
578,Hold and mark cardboard piece,0,0,0.0,0.0,0.0
|
| 581 |
+
579,Marking cardboard pieces,0,0,0.0,0.0,0.0
|
| 582 |
+
580,Placing cardboard piece,0,30,0.0,0.0,0.0
|
| 583 |
+
581,Walking towards workstation,0,0,0.0,0.0,0.0
|
| 584 |
+
582,Preparing workstation,0,0,0.0,0.0,0.0
|
| 585 |
+
583,Gathering items,0,0,0.0,0.0,0.0
|
| 586 |
+
584,Gathering colored beads,0,0,0.0,0.0,0.0
|
| 587 |
+
585,Sorting star-shaped objects by color,0,18,0.0,0.0,0.0
|
| 588 |
+
586,Sorting star-shaped objects,0,0,0.0,0.0,0.0
|
| 589 |
+
587,Sorting yellow star-shaped objects,0,32,0.0,0.0,0.0
|
| 590 |
+
588,Sorting purple star-shaped objects,0,0,0.0,0.0,0.0
|
| 591 |
+
589,Grasp paper strip,0,0,0.0,0.0,0.0
|
| 592 |
+
590,Fold paper star,0,0,0.0,0.0,0.0
|
| 593 |
+
591,Cleaning workspace,0,9,0.0,0.0,0.0
|
| 594 |
+
592,Reaching for utility knife,0,0,0.0,0.0,0.0
|
| 595 |
+
593,Using smartphone as a guide on cardboard,0,1,0.0,0.0,0.0
|
| 596 |
+
594,Manipulating quilling strips,0,0,0.0,0.0,0.0
|
| 597 |
+
595,Collecting oil and supplement bottles,0,0,0.0,0.0,0.0
|
| 598 |
+
596,Observing and reaching for products,0,0,0.0,0.0,0.0
|
| 599 |
+
597,Place down paper strip,0,8,0.0,0.0,0.0
|
| 600 |
+
598,Sort and combine bead piles,0,0,0.0,0.0,0.0
|
| 601 |
+
599,Mark fabric and reposition ruler,0,0,0.0,0.0,0.0
|
| 602 |
+
600,Move empty cardboard boxes,0,10,0.0,0.0,0.0
|
| 603 |
+
601,Finishing segment and placing scissors,0,0,0.0,0.0,0.0
|
| 604 |
+
602,Draw line on cardboard,0,0,0.0,0.0,0.0
|
| 605 |
+
603,manipulating paper star,0,0,0.0,0.0,0.0
|
| 606 |
+
604,Using and placing phone,0,0,0.0,0.0,0.0
|
| 607 |
+
605,Holding an electronic item,0,0,0.0,0.0,0.0
|
| 608 |
+
606,Restocking pineapple chips,0,0,0.0,0.0,0.0
|
| 609 |
+
607,Sorting and arranging cardboard pieces,0,0,0.0,0.0,0.0
|
| 610 |
+
608,Marking list and moving blue beads,0,0,0.0,0.0,0.0
|
| 611 |
+
609,Sorting blue beads,0,2,0.0,0.0,0.0
|
| 612 |
+
610,Cleaning shelves and rearranging products,0,0,0.0,0.0,0.0
|
| 613 |
+
611,Holding and positioning item on shelf,0,3,0.0,0.0,0.0
|
| 614 |
+
612,Placing down scissors,0,0,0.0,0.0,0.0
|
| 615 |
+
613,Cutting cardboard and putting down scissors,0,0,0.0,0.0,0.0
|
| 616 |
+
614,Cutting and stacking cardboard pieces,0,0,0.0,0.0,0.0
|
| 617 |
+
615,Transitioning from utility knife to scissors,0,0,0.0,0.0,0.0
|
| 618 |
+
616,Placing items on shelf and moving box,0,1,0.0,0.0,0.0
|
| 619 |
+
617,Managing shopping container,0,0,0.0,0.0,0.0
|
| 620 |
+
618,Gathering materials and walking,0,0,0.0,0.0,0.0
|
| 621 |
+
619,Manipulate paper piece,0,0,0.0,0.0,0.0
|
| 622 |
+
620,Cutting cardboard tube and setting aside scissors,0,0,0.0,0.0,0.0
|
| 623 |
+
621,Placing and searching for puzzle pieces,0,5,0.0,0.0,0.0
|
| 624 |
+
622,Marking lines and repositioning ruler,0,0,0.0,0.0,0.0
|
| 625 |
+
623,Position tray and reach for beads,0,0,0.0,0.0,0.0
|
| 626 |
+
624,Gather and hold beads,0,0,0.0,0.0,0.0
|
| 627 |
+
625,Adjust phone and reach for beads,0,0,0.0,0.0,0.0
|
| 628 |
+
626,Cut light green fabric and reposition scissors,0,0,0.0,0.0,0.0
|
| 629 |
+
627,Cutting and picking up new cardboard,0,0,0.0,0.0,0.0
|
| 630 |
+
628,Cutting and gathering cardboard,0,0,0.0,0.0,0.0
|
| 631 |
+
629,Place product on shelf,0,1,0.0,0.0,0.0
|
| 632 |
+
630,Placing snack packages in box,0,0,0.0,0.0,0.0
|
| 633 |
+
631,Placing and adjusting items on the shelf,0,0,0.0,0.0,0.0
|
| 634 |
+
632,Transferring items from shelf to bag,0,1,0.0,0.0,0.0
|
| 635 |
+
633,Adjusting cardboard divider,0,0,0.0,0.0,0.0
|
| 636 |
+
634,Finish and place origami star,0,0,0.0,0.0,0.0
|
| 637 |
+
635,Cutting cardboard and placing down scissors,0,0,0.0,0.0,0.0
|
| 638 |
+
636,Sort Mahjong tiles,0,0,0.0,0.0,0.0
|
| 639 |
+
637,Draw grid lines,0,0,0.0,0.0,0.0
|
| 640 |
+
638,Stacking and organizing cardboard,0,0,0.0,0.0,0.0
|
| 641 |
+
639,Moving orange buttons and interacting with smartphone,0,0,0.0,0.0,0.0
|
| 642 |
+
640,typing on smartphone and picking up paper strip,0,0,0.0,0.0,0.0
|
| 643 |
+
641,folding paper strip and typing on smartphone,0,0,0.0,0.0,0.0
|
| 644 |
+
642,using smartphone and picking up paper strip,0,0,0.0,0.0,0.0
|
| 645 |
+
643,Sorting paper stars,0,0,0.0,0.0,0.0
|
| 646 |
+
644,Complete folding and place star on table,0,0,0.0,0.0,0.0
|
| 647 |
+
645,"Cleaning, bagging, and selecting another item",0,0,0.0,0.0,0.0
|
| 648 |
+
646,Positioning the container on the floor,0,3,0.0,0.0,0.0
|
| 649 |
+
647,Stocking products and reorganizing bin,0,0,0.0,0.0,0.0
|
| 650 |
+
648,Observing restocking needs,0,0,0.0,0.0,0.0
|
| 651 |
+
649,Writing on paper and sorting blue beads,0,0,0.0,0.0,0.0
|
| 652 |
+
650,Writing on paper and reaching for beads,0,0,0.0,0.0,0.0
|
| 653 |
+
651,Wipe shelf and retrieve canned food,0,0,0.0,0.0,0.0
|
| 654 |
+
652,Place canned food on shelf,0,0,0.0,0.0,0.0
|
| 655 |
+
653,Examine yellow item,0,0,0.0,0.0,0.0
|
| 656 |
+
654,Hold blue product box,0,0,0.0,0.0,0.0
|
| 657 |
+
655,Wipe shelf and pick up product,0,0,0.0,0.0,0.0
|
| 658 |
+
656,Inspect product,0,0,0.0,0.0,0.0
|
| 659 |
+
657,Clean shelf and stock product,0,0,0.0,0.0,0.0
|
| 660 |
+
658,Retrieve product from box,0,0,0.0,0.0,0.0
|
| 661 |
+
659,Wipe and transport product to shelf,0,0,0.0,0.0,0.0
|
| 662 |
+
660,Wipe and select ketchup bottle,0,0,0.0,0.0,0.0
|
| 663 |
+
661,Wipe and place ketchup bottle on shelf,0,0,0.0,0.0,0.0
|
| 664 |
+
662,Inspecting cardboard,0,0,0.0,0.0,0.0
|
| 665 |
+
663,Moving through workspace,0,0,0.0,0.0,0.0
|
| 666 |
+
664,Transitioning to cutting,0,0,0.0,0.0,0.0
|
| 667 |
+
665,Cutting and folding cardboard,0,0,0.0,0.0,0.0
|
| 668 |
+
666,Folding cardboard,0,0,0.0,0.0,0.0
|
| 669 |
+
667,Using a smartphone,28,0,0.0,0.0,0.0
|
| 670 |
+
668,Tidying workspace,20,0,0.0,0.0,0.0
|
| 671 |
+
669,Handling container lid,25,0,0.0,0.0,0.0
|
| 672 |
+
670,Approaching the stove,9,0,0.0,0.0,0.0
|
| 673 |
+
671,Checking cooking pot,20,0,0.0,0.0,0.0
|
| 674 |
+
672,Moving around the kitchen,22,0,0.0,0.0,0.0
|
| 675 |
+
673,Wiping counter,16,0,0.0,0.0,0.0
|
| 676 |
+
674,Cleaning cloth maintenance,25,0,0.0,0.0,0.0
|
| 677 |
+
675,Retrieving cleaning supplies,32,0,0.0,0.0,0.0
|
| 678 |
+
676,Cleaning kitchen surfaces,28,0,0.0,0.0,0.0
|
| 679 |
+
677,Cooking at the stove,32,0,0.0,0.0,0.0
|
| 680 |
+
678,Adjusting cookware,23,0,0.0,0.0,0.0
|
| 681 |
+
679,Prepare to cut cardboard,49,0,0.0,0.0,0.0
|
| 682 |
+
680,Cut cardboard,172,0,0.0,0.0,0.0
|
| 683 |
+
681,Cut along the marked line,51,0,0.0,0.0,0.0
|
| 684 |
+
682,Picking and placing items from bin onto shelves,0,0,0.0,0.0,0.0
|
| 685 |
+
683,Retrieving items from bin,0,0,0.0,0.0,0.0
|
| 686 |
+
684,Placing held items on shelf,0,0,0.0,0.0,0.0
|
| 687 |
+
685,Monitoring task progress via smartwatch,0,0,0.0,0.0,0.0
|
| 688 |
+
686,Placing jar on shelf,0,0,0.0,0.0,0.0
|
| 689 |
+
687,Stocking jars on shelf,0,0,0.0,0.0,0.0
|
| 690 |
+
688,Stocking sauce bottles on shelf,0,0,0.0,0.0,0.0
|
| 691 |
+
689,Stocking miscellaneous products on shelf,0,0,0.0,0.0,0.0
|
| 692 |
+
690,Handling and organizing containers,0,0,0.0,0.0,0.0
|
| 693 |
+
691,Assessing shelf arrangement,0,0,0.0,0.0,0.0
|
| 694 |
+
692,Assembling the foam base loop,0,0,0.0,0.0,0.0
|
| 695 |
+
693,Attaching decorative yellow pieces,0,0,0.0,0.0,0.0
|
| 696 |
+
694,Tearing and preparing blue foam pieces,0,0,0.0,0.0,0.0
|
| 697 |
+
695,Attaching and folding blue foam strips,0,0,0.0,0.0,0.0
|
| 698 |
+
696,Interlocking the craft strips,0,0,0.0,0.0,0.0
|
| 699 |
+
697,Reviewing craft instructions,0,0,0.0,0.0,0.0
|
| 700 |
+
698,Finalizing the craft assembly,0,0,0.0,0.0,0.0
|
| 701 |
+
699,Retrieving additional supplies,0,0,0.0,0.0,0.0
|
| 702 |
+
700,Walk to shelf location,18,0,0.0,0.0,0.0
|
| 703 |
+
701,Inspect shelf condition,27,0,0.0,0.0,0.0
|
| 704 |
+
702,Approach inventory boxes,34,0,0.0,0.0,0.0
|
| 705 |
+
703,Extract wire hangers from inventory,43,0,0.0,0.0,0.0
|
| 706 |
+
704,Bundle display hooks,22,0,0.0,0.0,0.0
|
| 707 |
+
705,Install display hooks,18,0,0.0,0.0,0.0
|
| 708 |
+
706,Move to stocking area,10,0,0.0,0.0,0.0
|
| 709 |
+
707,Unpack and place items on shelf,29,0,0.0,0.0,0.0
|
| 710 |
+
708,Place and adjust items on shelf,42,0,0.0,0.0,0.0
|
| 711 |
+
709,Place and retrieve items for stocking,27,0,0.0,0.0,0.0
|
| 712 |
+
710,Labeling cardboard pieces,196,0,0.0,0.0,0.0
|
| 713 |
+
711,Observing and pausing,17,0,0.0,0.0,0.0
|
| 714 |
+
712,Browsing and selecting canned goods,0,0,0.0,0.0,0.0
|
| 715 |
+
713,Selecting and picking up canned goods,0,0,0.0,0.0,0.0
|
| 716 |
+
714,Returning canned goods to shelf,0,0,0.0,0.0,0.0
|
| 717 |
+
715,Moving along the shelves,0,0,0.0,0.0,0.0
|
| 718 |
+
716,Inspecting Dior gift box,0,0,0.0,0.0,0.0
|
| 719 |
+
717,Selecting a bottle,0,0,0.0,0.0,0.0
|
| 720 |
+
718,Comparing and replacing bottles,0,0,0.0,0.0,0.0
|
| 721 |
+
719,Inspecting bottle,0,0,0.0,0.0,0.0
|
| 722 |
+
720,Inspecting almond package and scanning shelves,0,0,0.0,0.0,0.0
|
| 723 |
+
721,Moving along the aisle,0,0,0.0,0.0,0.0
|
| 724 |
+
722,Touching canned goods,0,0,0.0,0.0,0.0
|
| 725 |
+
723,Cutting triangular cardboard pieces,0,0,0.0,0.0,0.0
|
| 726 |
+
724,Manipulating cardboard shapes,0,0,0.0,0.0,0.0
|
| 727 |
+
725,Folding cardboard and checking phone,0,0,0.0,0.0,0.0
|
| 728 |
+
726,Moving cardboard pieces across the workspace,0,0,0.0,0.0,0.0
|
| 729 |
+
727,Trimming and placing cardboard pieces,0,0,0.0,0.0,0.0
|
| 730 |
+
728,Placing canned goods on the shelf,63,0,0.0,0.0,0.0
|
| 731 |
+
729,Reaching into the box for more stock,33,0,0.0,0.0,0.0
|
| 732 |
+
730,Picking up and placing canned goods,17,0,0.0,0.0,0.0
|
| 733 |
+
731,Placing and retrieving canned goods,19,0,0.0,0.0,0.0
|
| 734 |
+
732,Aligning canned goods on the shelf,9,0,0.0,0.0,0.0
|
| 735 |
+
733,Stocking multiple cans on the shelf,35,0,0.0,0.0,0.0
|
| 736 |
+
734,Adjusting stock and finishing placement,17,0,0.0,0.0,0.0
|
| 737 |
+
735,Finalizing shelf organization,27,0,0.0,0.0,0.0
|
| 738 |
+
736,Handling earbud case,24,0,0.0,0.0,0.0
|
| 739 |
+
737,Checking smartphone,24,0,0.0,0.0,0.0
|
| 740 |
+
738,Sort craft materials into piles,36,0,0.0,0.0,0.0
|
| 741 |
+
739,Manipulate craft pieces,38,0,0.0,0.0,0.0
|
| 742 |
+
740,Release scissors and operate smartphone,44,0,0.0,0.0,0.0
|
| 743 |
+
741,Operate and release smartphone,7,0,0.0,0.0,0.0
|
| 744 |
+
742,Manipulate and release paper strips,34,0,0.0,0.0,0.0
|
| 745 |
+
743,Sort small craft pieces,39,0,0.0,0.0,0.0
|
| 746 |
+
744,Placing items on the shelf,0,0,0.0,0.0,0.0
|
| 747 |
+
745,Holding and organizing product packages,0,0,0.0,0.0,0.0
|
| 748 |
+
746,Placing items and checking phone,0,0,0.0,0.0,0.0
|
| 749 |
+
747,Handling charging cables,0,0,0.0,0.0,0.0
|
| 750 |
+
748,Retrieving items from bag,0,0,0.0,0.0,0.0
|
| 751 |
+
749,Adjusting items and reaching for stock,0,0,0.0,0.0,0.0
|
| 752 |
+
750,Retrieving and examining items from bag,0,0,0.0,0.0,0.0
|
| 753 |
+
751,Removing items from bag and stocking them,0,0,0.0,0.0,0.0
|
| 754 |
+
752,Reorganizing stock on shelf,0,0,0.0,0.0,0.0
|
| 755 |
+
753,Folding purple ribbon,0,0,0.0,0.0,0.0
|
| 756 |
+
754,Positioning ribbon piece,0,0,0.0,0.0,0.0
|
| 757 |
+
755,Manipulating ribbon piece,0,0,0.0,0.0,0.0
|
| 758 |
+
756,Placing ribbon onto project,0,0,0.0,0.0,0.0
|
| 759 |
+
757,Folding and shaping ribbon,0,0,0.0,0.0,0.0
|
| 760 |
+
758,Forming ribbon knot,0,0,0.0,0.0,0.0
|
| 761 |
+
759,Securing ribbon with needle,0,0,0.0,0.0,0.0
|
| 762 |
+
760,Unfold paper lantern,16,0,0.0,0.0,0.0
|
| 763 |
+
761,Fold and grasp lantern,24,0,0.0,0.0,0.0
|
| 764 |
+
762,Grasp lantern component,15,0,0.0,0.0,0.0
|
| 765 |
+
763,Open paper lantern,13,0,0.0,0.0,0.0
|
| 766 |
+
764,Align paper lantern edges,29,0,0.0,0.0,0.0
|
| 767 |
+
765,Adjust lantern string and handle components,28,0,0.0,0.0,0.0
|
| 768 |
+
766,Handle paper lantern component,19,0,0.0,0.0,0.0
|
| 769 |
+
767,Expand and adjust lantern shape,24,0,0.0,0.0,0.0
|
| 770 |
+
768,Secure lantern with adhesive,33,0,0.0,0.0,0.0
|
| 771 |
+
769,Unpack additional lantern component,16,0,0.0,0.0,0.0
|
| 772 |
+
770,Remove packaging and prepare component,32,0,0.0,0.0,0.0
|
| 773 |
+
771,Expand paper lantern,22,0,0.0,0.0,0.0
|
| 774 |
+
772,Final alignment of lantern edges,6,0,0.0,0.0,0.0
|
| 775 |
+
773,Measure and mark cardboard with ruler,0,0,0.0,0.0,0.0
|
| 776 |
+
774,Mark cardboard with marker,0,0,0.0,0.0,0.0
|
| 777 |
+
775,Position utility knife and begin cutting,0,0,0.0,0.0,0.0
|
| 778 |
+
776,Cut and release cardboard,0,0,0.0,0.0,0.0
|
| 779 |
+
777,Cut and fold cardboard,0,0,0.0,0.0,0.0
|
| 780 |
+
778,Cut and reposition utility knife,0,0,0.0,0.0,0.0
|
| 781 |
+
779,Cut and tear off cardboard segment,0,0,0.0,0.0,0.0
|
| 782 |
+
780,Holding a smartphone,0,0,0.0,0.0,0.0
|
| 783 |
+
781,Browsing smartphone content,0,0,0.0,0.0,0.0
|
| 784 |
+
782,Assembling small decorative components,0,0,0.0,0.0,0.0
|
| 785 |
+
783,Manipulating components on a strip,0,0,0.0,0.0,0.0
|
| 786 |
+
784,Manipulating and placing strip components,0,0,0.0,0.0,0.0
|
| 787 |
+
785,Final component assembly,0,0,0.0,0.0,0.0
|
| 788 |
+
786,Preparing craft area,24,0,0.0,0.0,0.0
|
| 789 |
+
787,Transitioning to smartphone usage,59,0,0.0,0.0,0.0
|
| 790 |
+
788,Browsing smartphone,32,0,0.0,0.0,0.0
|
| 791 |
+
789,Scrolling smartphone screen,31,0,0.0,0.0,0.0
|
| 792 |
+
790,Scrolling and setting down smartphone,24,0,0.0,0.0,0.0
|
| 793 |
+
791,Scrolling and placing smartphone down,21,0,0.0,0.0,0.0
|
| 794 |
+
792,Paper quilling craft,32,0,0.0,0.0,0.0
|
| 795 |
+
793,Counting and recording paper stars,0,0,0.0,0.0,0.0
|
| 796 |
+
794,Handling electronic device,0,0,0.0,0.0,0.0
|
| 797 |
+
795,Reviewing and organizing records,0,0,0.0,0.0,0.0
|
| 798 |
+
796,Cutting and adjusting cardboard,0,0,0.0,0.0,0.0
|
| 799 |
+
797,Cutting cardboard and retrieving power bank,0,0,0.0,0.0,0.0
|
| 800 |
+
798,Cutting and repositioning cardboard,0,0,0.0,0.0,0.0
|
| 801 |
+
799,Arranging and marking cardboard strips,0,0,0.0,0.0,0.0
|
| 802 |
+
800,Pick up and place puzzle piece,31,0,0.0,0.0,0.0
|
| 803 |
+
801,Manipulate puzzle piece,38,0,0.0,0.0,0.0
|
| 804 |
+
802,Manipulate puzzle pieces,35,0,0.0,0.0,0.0
|
| 805 |
+
803,Place puzzle piece,16,0,0.0,0.0,0.0
|
| 806 |
+
804,Observe puzzle progress,32,0,0.0,0.0,0.0
|
| 807 |
+
805,Search for and pick up puzzle piece,26,0,0.0,0.0,0.0
|
| 808 |
+
806,Release and adjust puzzle piece,15,0,0.0,0.0,0.0
|
| 809 |
+
807,"Reach for, pick up, and attempt to fit puzzle piece",53,0,0.0,0.0,0.0
|
| 810 |
+
808,Sort puzzle pieces,34,0,0.0,0.0,0.0
|
| 811 |
+
809,Walking to the crafting area,17,0,0.0,0.0,0.0
|
| 812 |
+
810,Preparing materials,31,0,0.0,0.0,0.0
|
| 813 |
+
811,Assembling material pieces,32,0,0.0,0.0,0.0
|
| 814 |
+
812,Manipulating yellow strips,31,0,0.0,0.0,0.0
|
| 815 |
+
813,Working with paper strips,76,0,0.0,0.0,0.0
|
| 816 |
+
814,Manipulating beads,45,0,0.0,0.0,0.0
|
| 817 |
+
815,Using phone and resuming work,14,0,0.0,0.0,0.0
|
| 818 |
+
816,Holding and adjusting cardboard,0,0,0.0,0.0,0.0
|
| 819 |
+
817,Folding and positioning cardboard,0,0,0.0,0.0,0.0
|
| 820 |
+
818,Completing marking and stepping away,0,0,0.0,0.0,0.0
|
| 821 |
+
819,Returning to workstation,0,0,0.0,0.0,0.0
|
| 822 |
+
820,Folding cardboard edge,0,0,0.0,0.0,0.0
|
| 823 |
+
821,Folding cardboard and preparing marker,0,0,0.0,0.0,0.0
|
| 824 |
+
822,Adjusting edge and marking cardboard,0,0,0.0,0.0,0.0
|
| 825 |
+
823,Sorting and collecting cardboard squares,0,0,0.0,0.0,0.0
|
| 826 |
+
824,Transporting cardboard to collection area,0,0,0.0,0.0,0.0
|
| 827 |
+
825,Depositing cardboard squares,0,0,0.0,0.0,0.0
|
| 828 |
+
826,Returning to work table,0,0,0.0,0.0,0.0
|
| 829 |
+
827,Preparing and folding cardboard,0,0,0.0,0.0,0.0
|
| 830 |
+
828,Cutting cardboard into strips,0,0,0.0,0.0,0.0
|
| 831 |
+
829,Cutting and sorting cardboard squares,0,0,0.0,0.0,0.0
|
| 832 |
+
830,Scoring and cutting cardboard,0,0,0.0,0.0,0.0
|
| 833 |
+
831,Refining cardboard cuts,0,0,0.0,0.0,0.0
|
| 834 |
+
832,Cutting and placing cardboard squares,0,0,0.0,0.0,0.0
|
| 835 |
+
833,Sort buttons by color,25,0,0.0,0.0,0.0
|
| 836 |
+
834,Arrange buttons,33,0,0.0,0.0,0.0
|
| 837 |
+
835,Arrange buttons in a line,29,0,0.0,0.0,0.0
|
| 838 |
+
836,Sort and arrange buttons,32,0,0.0,0.0,0.0
|
| 839 |
+
837,Pick up and place buttons,40,0,0.0,0.0,0.0
|
| 840 |
+
838,Sort buttons,36,0,0.0,0.0,0.0
|
| 841 |
+
839,Sort and adjust button line,29,0,0.0,0.0,0.0
|
| 842 |
+
840,Use smartphone,30,0,0.0,0.0,0.0
|
| 843 |
+
841,Sort and place buttons,31,0,0.0,0.0,0.0
|
| 844 |
+
842,Entering the training area,35,0,0.0,0.0,0.0
|
| 845 |
+
843,Greeting participants,49,0,0.0,0.0,0.0
|
| 846 |
+
844,Moving through the room,20,0,0.0,0.0,0.0
|
| 847 |
+
845,Initiating assembly,34,0,0.0,0.0,0.0
|
| 848 |
+
846,Handling plastic strip,28,0,0.0,0.0,0.0
|
| 849 |
+
847,Bending plastic strip,16,0,0.0,0.0,0.0
|
| 850 |
+
848,Manipulating plastic strip,37,0,0.0,0.0,0.0
|
| 851 |
+
849,Folding plastic strip,57,0,0.0,0.0,0.0
|
| 852 |
+
850,Trimming and stacking cardboard pieces,0,0,0.0,0.0,0.0
|
| 853 |
+
851,Cutting and adjusting cardboard sheet,0,0,0.0,0.0,0.0
|
| 854 |
+
852,Positioning and cutting cardboard piece,0,0,0.0,0.0,0.0
|
| 855 |
+
853,Taking a break to drink water and check phone,0,0,0.0,0.0,0.0
|
| 856 |
+
854,Moving away from and returning to the table,0,0,0.0,0.0,0.0
|
| 857 |
+
855,Manipulate paper decoration,41,0,0.0,0.0,0.0
|
| 858 |
+
856,Manipulate paper edge,35,0,0.0,0.0,0.0
|
| 859 |
+
857,Adjusting paper edge and placing strip,43,0,0.0,0.0,0.0
|
| 860 |
+
858,Adjusting and securing paper structure,36,0,0.0,0.0,0.0
|
| 861 |
+
859,Manipulate adhesive strip,44,0,0.0,0.0,0.0
|
| 862 |
+
860,Secure paper edges with adhesive,39,0,0.0,0.0,0.0
|
| 863 |
+
861,Sort and record bead counts,49,0,0.0,0.0,0.0
|
| 864 |
+
862,Sort and group beads,22,0,0.0,0.0,0.0
|
| 865 |
+
863,"Pick, place, and count beads",33,0,0.0,0.0,0.0
|
| 866 |
+
864,Sort beads and record count,75,0,0.0,0.0,0.0
|
| 867 |
+
865,Count beads and retrieve more,28,0,0.0,0.0,0.0
|
| 868 |
+
866,Document bead counts,22,0,0.0,0.0,0.0
|
| 869 |
+
867,Organize and count beads,56,0,0.0,0.0,0.0
|
| 870 |
+
868,Finish cutting along the marked line and reposition,7,0,0.0,0.0,0.0
|
| 871 |
+
869,Checking smartwatch while reaching for product,0,0,0.0,0.0,0.0
|
| 872 |
+
870,Positioning ruler and drawing lines,0,0,0.0,0.0,0.0
|
| 873 |
+
871,Finalize wiping and placement of ketchup bottle,0,0,0.0,0.0,0.0
|
| 874 |
+
872,Positioning utility knife,0,0,0.0,0.0,0.0
|
| 875 |
+
873,Setting up smartphone,3,0,0.0,0.0,0.0
|
| 876 |
+
874,Placing items on shelf and retrieving new items,0,0,0.0,0.0,0.0
|
| 877 |
+
875,Inspecting and stocking shelf items,0,0,0.0,0.0,0.0
|
| 878 |
+
876,Organizing products into box,0,0,0.0,0.0,0.0
|
| 879 |
+
877,Inspect shelf condition and observe surroundings,3,0,0.0,0.0,0.0
|
| 880 |
+
878,Place items on shelf,6,0,0.0,0.0,0.0
|
| 881 |
+
879,Returning Dior gift box to shelf,0,0,0.0,0.0,0.0
|
| 882 |
+
880,Picking up canned goods,0,0,0.0,0.0,0.0
|
| 883 |
+
881,Cutting and releasing cardboard shapes,0,0,0.0,0.0,0.0
|
| 884 |
+
882,Retrieving and placing canned goods,7,0,0.0,0.0,0.0
|
| 885 |
+
883,Placing remaining items on the shelf,0,0,0.0,0.0,0.0
|
| 886 |
+
884,Attempt to fit and place puzzle piece,5,0,0.0,0.0,0.0
|
| 887 |
+
885,Working with paper strips and using phone,3,0,0.0,0.0,0.0
|
| 888 |
+
886,Finalizing cuts and storing tools,0,0,0.0,0.0,0.0
|
| 889 |
+
887,Sorting squares and preparing for next cut,0,0,0.0,0.0,0.0
|
| 890 |
+
888,Sorting and processing cardboard strips,0,0,0.0,0.0,0.0
|
| 891 |
+
889,Preparing plastic strip for folding,9,0,0.0,0.0,0.0
|
| 892 |
+
890,Final trimming of cardboard,0,0,0.0,0.0,0.0
|
results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/next_subtask_forecast/predictions.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/object_relevance/metrics.json
CHANGED
|
@@ -4,6 +4,7 @@
|
|
| 4 |
"task_display_name": "Object Relevance Prediction",
|
| 5 |
"model_family": "neural_mlp_metadata_multilabel",
|
| 6 |
"source": "128_episode_qwen_jsonl_metadata",
|
|
|
|
| 7 |
"num_train_windows": 25629,
|
| 8 |
"num_val_windows": 4608,
|
| 9 |
"num_test_windows": 4032,
|
|
|
|
| 4 |
"task_display_name": "Object Relevance Prediction",
|
| 5 |
"model_family": "neural_mlp_metadata_multilabel",
|
| 6 |
"source": "128_episode_qwen_jsonl_metadata",
|
| 7 |
+
"input_features": "frame/context metadata plus hashed prompt/options/main_task text; answer_json fields are excluded from inputs",
|
| 8 |
"num_train_windows": 25629,
|
| 9 |
"num_val_windows": 4608,
|
| 10 |
"num_test_windows": 4032,
|
results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/object_set_forecast/metrics.json
ADDED
|
@@ -0,0 +1,50 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"status": "pass",
|
| 3 |
+
"task": "object_set_forecast",
|
| 4 |
+
"task_display_name": "Object Set Forecast",
|
| 5 |
+
"model_family": "neural_mlp_metadata_multilabel",
|
| 6 |
+
"source": "128_episode_qwen_jsonl_metadata",
|
| 7 |
+
"input_features": "current-window frame/context metadata plus hashed prompt/options/main_task text; target object set +100 frames",
|
| 8 |
+
"num_train_windows": 25068,
|
| 9 |
+
"num_val_windows": 4496,
|
| 10 |
+
"num_test_windows": 3951,
|
| 11 |
+
"num_objects": 256,
|
| 12 |
+
"history": [
|
| 13 |
+
{
|
| 14 |
+
"epoch": 1,
|
| 15 |
+
"loss": 0.40618257693683624
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 7,
|
| 19 |
+
"loss": 0.09393147091218229
|
| 20 |
+
},
|
| 21 |
+
{
|
| 22 |
+
"epoch": 14,
|
| 23 |
+
"loss": 0.06462562757330076
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 21,
|
| 27 |
+
"loss": 0.051652751573515565
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 28,
|
| 31 |
+
"loss": 0.04472079514406202
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 35,
|
| 35 |
+
"loss": 0.040127100790633106
|
| 36 |
+
}
|
| 37 |
+
],
|
| 38 |
+
"device": "cuda",
|
| 39 |
+
"splits": {
|
| 40 |
+
"test": {
|
| 41 |
+
"precision": 0.12744893705710714,
|
| 42 |
+
"recall": 0.27504779039694144,
|
| 43 |
+
"micro_f1": 0.17418550827844048,
|
| 44 |
+
"macro_f1": 0.02176780675052154,
|
| 45 |
+
"exact_match": 0.019994937990382183
|
| 46 |
+
}
|
| 47 |
+
},
|
| 48 |
+
"primary_metric": "micro_f1",
|
| 49 |
+
"primary_score": 0.17418550827844048
|
| 50 |
+
}
|
results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/object_set_forecast/predictions.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/time_to_transition/metrics.json
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"status": "pass",
|
| 3 |
+
"task": "time_to_transition",
|
| 4 |
+
"task_display_name": "Time To Transition",
|
| 5 |
+
"model_family": "neural_mlp_metadata_regressor",
|
| 6 |
+
"source": "128_episode_qwen_jsonl_metadata",
|
| 7 |
+
"input_features": "frame/context metadata plus hashed prompt/options/main_task text; target is frames to next action boundary capped at 200",
|
| 8 |
+
"split_policy": "train neural regressor on train split, report held-out test timing error",
|
| 9 |
+
"num_train_windows": 25629,
|
| 10 |
+
"num_test_windows": 4032,
|
| 11 |
+
"history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 1,
|
| 14 |
+
"loss": 0.8395254544245428
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 7,
|
| 18 |
+
"loss": 0.4669298557358576
|
| 19 |
+
},
|
| 20 |
+
{
|
| 21 |
+
"epoch": 14,
|
| 22 |
+
"loss": 0.2693304531382335
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"epoch": 21,
|
| 26 |
+
"loss": 0.19281703676294232
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 28,
|
| 30 |
+
"loss": 0.15983608896562138
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 35,
|
| 34 |
+
"loss": 0.13736773695386975
|
| 35 |
+
}
|
| 36 |
+
],
|
| 37 |
+
"device": "cuda",
|
| 38 |
+
"splits": {
|
| 39 |
+
"test": {
|
| 40 |
+
"mae": 41.4664421081543,
|
| 41 |
+
"rmse": 55.98573684692383,
|
| 42 |
+
"r2": -0.24839289780206042
|
| 43 |
+
}
|
| 44 |
+
},
|
| 45 |
+
"primary_metric": "mae",
|
| 46 |
+
"metric_direction": "lower",
|
| 47 |
+
"primary_score": 41.4664421081543
|
| 48 |
+
}
|
results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/time_to_transition/predictions.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
scripts/omni/run_128_task_baselines.py
CHANGED
|
@@ -7,9 +7,9 @@ The 128-episode public package intentionally does not redistribute raw sensor
|
|
| 7 |
feature NPZ files, so this runner uses only public-safe JSONL metadata and
|
| 8 |
strictly avoids answer fields as input features.
|
| 9 |
|
| 10 |
-
The output keeps the
|
| 11 |
simple and, where appropriate, neural baselines over the same train/val/test
|
| 12 |
-
episode split used by the Qwen3-Omni pilot.
|
| 13 |
requires missing raw motion/depth/audio feature blocks are emitted as explicit
|
| 14 |
unsupported records instead of fabricated scores.
|
| 15 |
"""
|
|
@@ -49,6 +49,14 @@ TASKS = [
|
|
| 49 |
"modality_reconstruction",
|
| 50 |
"temporal_order",
|
| 51 |
"misalignment_detection",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 52 |
]
|
| 53 |
|
| 54 |
CLASSIFICATION_TASKS = {
|
|
@@ -76,6 +84,18 @@ UNSUPPORTED_TASKS = {
|
|
| 76 |
"primary_metric": "f1",
|
| 77 |
"reason": "requires deliberately shifted cross-modal feature pairs, which cannot be reconstructed from the public JSONL labels alone",
|
| 78 |
},
|
|
|
|
|
|
|
|
|
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|
|
|
|
| 79 |
}
|
| 80 |
|
| 81 |
DEFAULT_DATASET = ROOT / "tmp/omni_128_dataset_fetch/dataset.jsonl"
|
|
@@ -122,6 +142,14 @@ def parse_args() -> argparse.Namespace:
|
|
| 122 |
parser.add_argument("--neural-dropout", type=float, default=0.10)
|
| 123 |
parser.add_argument("--neural-device", default="auto", choices=["auto", "cpu", "cuda"])
|
| 124 |
parser.add_argument("--max-object-vocab", type=int, default=256)
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
| 125 |
return parser.parse_args()
|
| 126 |
|
| 127 |
|
|
@@ -378,6 +406,62 @@ def split_indices(rows: list[dict[str, Any]]) -> dict[str, np.ndarray]:
|
|
| 378 |
return {key: np.asarray(value, dtype=np.int64) for key, value in indices.items()}
|
| 379 |
|
| 380 |
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|
|
| 381 |
def encode_labels(values: list[str]) -> tuple[np.ndarray, list[str]]:
|
| 382 |
seen: OrderedDict[str, int] = OrderedDict()
|
| 383 |
for value in values:
|
|
@@ -654,6 +738,19 @@ def neural_classification(
|
|
| 654 |
from neural_task_models import train_classifier
|
| 655 |
|
| 656 |
out_dir.mkdir(parents=True, exist_ok=True)
|
|
|
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|
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|
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|
|
|
|
|
|
| 657 |
result = train_classifier(
|
| 658 |
X.astype(np.float32),
|
| 659 |
y,
|
|
@@ -745,21 +842,24 @@ def multilabel_metrics(y_true: np.ndarray, y_pred: np.ndarray) -> dict[str, floa
|
|
| 745 |
|
| 746 |
|
| 747 |
def simple_multilabel(
|
|
|
|
| 748 |
rows: list[dict[str, Any]],
|
|
|
|
| 749 |
feature_rows: list[dict[str, Any]],
|
| 750 |
X: np.ndarray,
|
| 751 |
splits: dict[str, np.ndarray],
|
| 752 |
out_root: Path,
|
| 753 |
args: argparse.Namespace,
|
|
|
|
| 754 |
) -> dict[str, Any]:
|
| 755 |
train_objects = Counter()
|
| 756 |
for idx in splits["train"]:
|
| 757 |
-
for obj in answer(
|
| 758 |
key = norm(obj).lower()
|
| 759 |
if key:
|
| 760 |
train_objects[key] += 1
|
| 761 |
vocab = [name for name, _count in train_objects.most_common(args.max_object_vocab)]
|
| 762 |
-
Y = object_matrix(
|
| 763 |
train_idx, val_idx, test_idx = splits["train"], splits["val"], splits["test"]
|
| 764 |
freq = Y[train_idx].mean(axis=0)
|
| 765 |
# Public-safe simple baseline: predict object labels seen in at least 10% of
|
|
@@ -768,7 +868,7 @@ def simple_multilabel(
|
|
| 768 |
pred_all = np.tile((freq >= 0.10).astype(np.float32), (len(rows), 1))
|
| 769 |
test_metrics = multilabel_metrics(Y[test_idx], pred_all[test_idx])
|
| 770 |
val_metrics = multilabel_metrics(Y[val_idx], pred_all[val_idx]) if len(val_idx) else {}
|
| 771 |
-
out_dir = out_root /
|
| 772 |
out_dir.mkdir(parents=True, exist_ok=True)
|
| 773 |
pred_rows = []
|
| 774 |
for idx in test_idx:
|
|
@@ -778,10 +878,11 @@ def simple_multilabel(
|
|
| 778 |
pred_rows.append({**feature_rows[idx], "true_objects": ";".join(true_objs), "predicted_objects": ";".join(pred_objs)})
|
| 779 |
metrics = {
|
| 780 |
"status": "pass",
|
| 781 |
-
"task":
|
| 782 |
-
"task_display_name": task_display_name(
|
| 783 |
"model_family": "simple_train_object_frequency",
|
| 784 |
"source": "128_episode_qwen_jsonl_metadata",
|
|
|
|
| 785 |
"split_policy": "object vocabulary and frequencies are learned from train split only",
|
| 786 |
"num_train_windows": int(len(train_idx)),
|
| 787 |
"num_val_windows": int(len(val_idx)),
|
|
@@ -797,14 +898,14 @@ def simple_multilabel(
|
|
| 797 |
|
| 798 |
neural_result = None
|
| 799 |
if args.include_neural:
|
| 800 |
-
neural_dir = out_root / "neural_mlp" /
|
| 801 |
try:
|
| 802 |
-
neural_result = neural_multilabel(rows, feature_rows, X, Y, splits, neural_dir, args, vocab)
|
| 803 |
except Exception as exc: # pragma: no cover - protects long batch runs from optional NN environment failures.
|
| 804 |
neural_result = {
|
| 805 |
"status": "failed",
|
| 806 |
-
"task":
|
| 807 |
-
"task_display_name": task_display_name(
|
| 808 |
"model_family": "neural_mlp_metadata_multilabel",
|
| 809 |
"source": "128_episode_qwen_jsonl_metadata",
|
| 810 |
"primary_metric": "micro_f1",
|
|
@@ -816,6 +917,7 @@ def simple_multilabel(
|
|
| 816 |
|
| 817 |
|
| 818 |
def neural_multilabel(
|
|
|
|
| 819 |
rows: list[dict[str, Any]],
|
| 820 |
feature_rows: list[dict[str, Any]],
|
| 821 |
X: np.ndarray,
|
|
@@ -824,6 +926,7 @@ def neural_multilabel(
|
|
| 824 |
out_dir: Path,
|
| 825 |
args: argparse.Namespace,
|
| 826 |
vocab: list[str],
|
|
|
|
| 827 |
) -> dict[str, Any]:
|
| 828 |
from neural_task_models import train_multilabel
|
| 829 |
|
|
@@ -838,10 +941,11 @@ def neural_multilabel(
|
|
| 838 |
pred_rows.append({**feature_rows[idx], "true_objects": ";".join(true_objs), "predicted_objects": ";".join(pred_objs)})
|
| 839 |
metrics = {
|
| 840 |
"status": "pass",
|
| 841 |
-
"task":
|
| 842 |
-
"task_display_name": task_display_name(
|
| 843 |
"model_family": "neural_mlp_metadata_multilabel",
|
| 844 |
"source": "128_episode_qwen_jsonl_metadata",
|
|
|
|
| 845 |
"num_train_windows": int(len(splits["train"])),
|
| 846 |
"num_val_windows": int(len(splits["val"])),
|
| 847 |
"num_test_windows": int(len(splits["test"])),
|
|
@@ -868,6 +972,15 @@ def caption_query_text(row: dict[str, Any]) -> str:
|
|
| 868 |
)
|
| 869 |
|
| 870 |
|
|
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|
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|
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|
|
|
|
|
|
|
|
| 871 |
def retrieval_metrics_from_scores(scores: np.ndarray, rows: list[dict[str, Any]], test_idx: np.ndarray) -> tuple[dict[str, Any], list[dict[str, Any]]]:
|
| 872 |
ranks = []
|
| 873 |
rank_rows = []
|
|
@@ -1167,6 +1280,174 @@ def temporal_order(rows: list[dict[str, Any]], X: np.ndarray, splits: dict[str,
|
|
| 1167 |
return {"simple": payload, "neural": neural_result}
|
| 1168 |
|
| 1169 |
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|
|
| 1170 |
def unsupported_record(task_id: str, out_root: Path, reason: str, primary_metric: str) -> dict[str, Any]:
|
| 1171 |
payload = {
|
| 1172 |
"status": "unsupported_without_raw_128_feature_blocks",
|
|
@@ -1267,11 +1548,129 @@ def main() -> int:
|
|
| 1267 |
result = classification_baseline(task_id, rows, feature_rows, X, splits, lambda row, k=key: norm(answer(row).get(k)), out, args)
|
| 1268 |
task_results.append({"task": task_id, "task_display_name": task_display_name(task_id), **result})
|
| 1269 |
log("object_relevance: start")
|
| 1270 |
-
task_results.append(
|
|
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|
|
| 1271 |
log("caption_grounding: start")
|
| 1272 |
task_results.append({"task": "caption_grounding", "task_display_name": task_display_name("caption_grounding"), **caption_grounding(rows, episodes, splits, out, args)})
|
| 1273 |
log("temporal_order: start")
|
| 1274 |
task_results.append({"task": "temporal_order", "task_display_name": task_display_name("temporal_order"), **temporal_order(rows, X, splits, out, args)})
|
|
|
|
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|
| 1275 |
for task_id, spec in UNSUPPORTED_TASKS.items():
|
| 1276 |
log(f"{task_id}: recording unsupported status")
|
| 1277 |
task_results.append({"task": task_id, "task_display_name": task_display_name(task_id), **unsupported_record(task_id, out, spec["reason"], spec["primary_metric"])})
|
|
|
|
| 7 |
feature NPZ files, so this runner uses only public-safe JSONL metadata and
|
| 8 |
strictly avoids answer fields as input features.
|
| 9 |
|
| 10 |
+
The output keeps the unified 20 task IDs. Tasks with enough JSONL signal get
|
| 11 |
simple and, where appropriate, neural baselines over the same train/val/test
|
| 12 |
+
episode split used by the Qwen3-Omni pilot. Tasks whose original target
|
| 13 |
requires missing raw motion/depth/audio feature blocks are emitted as explicit
|
| 14 |
unsupported records instead of fabricated scores.
|
| 15 |
"""
|
|
|
|
| 49 |
"modality_reconstruction",
|
| 50 |
"temporal_order",
|
| 51 |
"misalignment_detection",
|
| 52 |
+
"long_horizon_next_action",
|
| 53 |
+
"next_subtask_forecast",
|
| 54 |
+
"interaction_text_prediction",
|
| 55 |
+
"action_object_relation",
|
| 56 |
+
"object_set_forecast",
|
| 57 |
+
"imu_to_hand_pose",
|
| 58 |
+
"camera_view_sync_retrieval",
|
| 59 |
+
"time_to_transition",
|
| 60 |
]
|
| 61 |
|
| 62 |
CLASSIFICATION_TASKS = {
|
|
|
|
| 84 |
"primary_metric": "f1",
|
| 85 |
"reason": "requires deliberately shifted cross-modal feature pairs, which cannot be reconstructed from the public JSONL labels alone",
|
| 86 |
},
|
| 87 |
+
"interaction_text_prediction": {
|
| 88 |
+
"primary_metric": "macro_f1",
|
| 89 |
+
"reason": "requires raw annotation.hdf5 caption interaction text; the public 128 JSONL keeps only structured labels and derived metadata",
|
| 90 |
+
},
|
| 91 |
+
"imu_to_hand_pose": {
|
| 92 |
+
"primary_metric": "mae",
|
| 93 |
+
"reason": "requires raw IMU and hand-joint feature blocks, which are not in the public 128 JSONL metadata package",
|
| 94 |
+
},
|
| 95 |
+
"camera_view_sync_retrieval": {
|
| 96 |
+
"primary_metric": "mrr",
|
| 97 |
+
"reason": "requires paired camera-view feature blocks, which are not in the public 128 JSONL metadata package",
|
| 98 |
+
},
|
| 99 |
}
|
| 100 |
|
| 101 |
DEFAULT_DATASET = ROOT / "tmp/omni_128_dataset_fetch/dataset.jsonl"
|
|
|
|
| 142 |
parser.add_argument("--neural-dropout", type=float, default=0.10)
|
| 143 |
parser.add_argument("--neural-device", default="auto", choices=["auto", "cpu", "cuda"])
|
| 144 |
parser.add_argument("--max-object-vocab", type=int, default=256)
|
| 145 |
+
parser.add_argument("--future-frames", type=int, default=100)
|
| 146 |
+
parser.add_argument("--transition-cap-frames", type=int, default=200)
|
| 147 |
+
parser.add_argument(
|
| 148 |
+
"--max-neural-classes",
|
| 149 |
+
type=int,
|
| 150 |
+
default=4096,
|
| 151 |
+
help="Emit an explicit unsupported NN record instead of fitting very large classification heads.",
|
| 152 |
+
)
|
| 153 |
return parser.parse_args()
|
| 154 |
|
| 155 |
|
|
|
|
| 406 |
return {key: np.asarray(value, dtype=np.int64) for key, value in indices.items()}
|
| 407 |
|
| 408 |
|
| 409 |
+
def row_start(row: dict[str, Any]) -> int:
|
| 410 |
+
return int((row.get("center_window") or {}).get("start_frame", 0) or 0)
|
| 411 |
+
|
| 412 |
+
|
| 413 |
+
def by_episode_sorted(rows: list[dict[str, Any]]) -> dict[str, list[int]]:
|
| 414 |
+
grouped: dict[str, list[int]] = {}
|
| 415 |
+
for idx, row in enumerate(rows):
|
| 416 |
+
grouped.setdefault(str(row.get("episode_id")), []).append(idx)
|
| 417 |
+
for episode_id in grouped:
|
| 418 |
+
grouped[episode_id].sort(key=lambda idx: row_start(rows[idx]))
|
| 419 |
+
return grouped
|
| 420 |
+
|
| 421 |
+
|
| 422 |
+
def future_index_map(rows: list[dict[str, Any]], frame_offset: int) -> dict[int, int]:
|
| 423 |
+
mapping: dict[int, int] = {}
|
| 424 |
+
for indices in by_episode_sorted(rows).values():
|
| 425 |
+
starts = np.asarray([row_start(rows[idx]) for idx in indices], dtype=np.int64)
|
| 426 |
+
for idx in indices:
|
| 427 |
+
target_start = row_start(rows[idx]) + frame_offset
|
| 428 |
+
future_pos = int(np.searchsorted(starts, target_start, side="left"))
|
| 429 |
+
if future_pos < len(indices):
|
| 430 |
+
mapping[idx] = indices[future_pos]
|
| 431 |
+
return mapping
|
| 432 |
+
|
| 433 |
+
|
| 434 |
+
def make_future_subset(rows: list[dict[str, Any]], frame_offset: int) -> tuple[np.ndarray, np.ndarray]:
|
| 435 |
+
mapping = future_index_map(rows, frame_offset)
|
| 436 |
+
current = np.asarray(sorted(mapping.keys()), dtype=np.int64)
|
| 437 |
+
future = np.asarray([mapping[int(idx)] for idx in current], dtype=np.int64)
|
| 438 |
+
return current, future
|
| 439 |
+
|
| 440 |
+
|
| 441 |
+
def subset_splits(splits: dict[str, np.ndarray], keep: np.ndarray) -> dict[str, np.ndarray]:
|
| 442 |
+
local = {int(global_idx): local_idx for local_idx, global_idx in enumerate(keep)}
|
| 443 |
+
return {
|
| 444 |
+
split: np.asarray([local[int(idx)] for idx in values if int(idx) in local], dtype=np.int64)
|
| 445 |
+
for split, values in splits.items()
|
| 446 |
+
}
|
| 447 |
+
|
| 448 |
+
|
| 449 |
+
def time_to_transition_targets(rows: list[dict[str, Any]], cap_frames: int) -> np.ndarray:
|
| 450 |
+
labels = [norm(answer(row).get("action")) for row in rows]
|
| 451 |
+
targets = np.full(len(rows), float(cap_frames), dtype=np.float32)
|
| 452 |
+
for indices in by_episode_sorted(rows).values():
|
| 453 |
+
for pos, idx in enumerate(indices):
|
| 454 |
+
label = labels[idx]
|
| 455 |
+
start = row_start(rows[idx])
|
| 456 |
+
distance = cap_frames
|
| 457 |
+
for next_idx in indices[pos + 1 :]:
|
| 458 |
+
if labels[next_idx] != label:
|
| 459 |
+
distance = min(max(row_start(rows[next_idx]) - start, 0), cap_frames)
|
| 460 |
+
break
|
| 461 |
+
targets[idx] = float(distance)
|
| 462 |
+
return targets[:, None]
|
| 463 |
+
|
| 464 |
+
|
| 465 |
def encode_labels(values: list[str]) -> tuple[np.ndarray, list[str]]:
|
| 466 |
seen: OrderedDict[str, int] = OrderedDict()
|
| 467 |
for value in values:
|
|
|
|
| 738 |
from neural_task_models import train_classifier
|
| 739 |
|
| 740 |
out_dir.mkdir(parents=True, exist_ok=True)
|
| 741 |
+
if train_class_count > args.max_neural_classes:
|
| 742 |
+
metrics = {
|
| 743 |
+
"status": "unsupported_large_label_space",
|
| 744 |
+
"task": task_id,
|
| 745 |
+
"task_display_name": task_display_name(task_id),
|
| 746 |
+
"model_family": "neural_mlp_metadata",
|
| 747 |
+
"source": "128_episode_qwen_jsonl_metadata",
|
| 748 |
+
"primary_metric": "macro_f1",
|
| 749 |
+
"primary_score": None,
|
| 750 |
+
"reason": f"train class count {train_class_count} exceeds --max-neural-classes {args.max_neural_classes}",
|
| 751 |
+
}
|
| 752 |
+
write_json(out_dir / "metrics.json", metrics)
|
| 753 |
+
return metrics
|
| 754 |
result = train_classifier(
|
| 755 |
X.astype(np.float32),
|
| 756 |
y,
|
|
|
|
| 842 |
|
| 843 |
|
| 844 |
def simple_multilabel(
|
| 845 |
+
task_id: str,
|
| 846 |
rows: list[dict[str, Any]],
|
| 847 |
+
target_rows: list[dict[str, Any]],
|
| 848 |
feature_rows: list[dict[str, Any]],
|
| 849 |
X: np.ndarray,
|
| 850 |
splits: dict[str, np.ndarray],
|
| 851 |
out_root: Path,
|
| 852 |
args: argparse.Namespace,
|
| 853 |
+
input_features: str,
|
| 854 |
) -> dict[str, Any]:
|
| 855 |
train_objects = Counter()
|
| 856 |
for idx in splits["train"]:
|
| 857 |
+
for obj in answer(target_rows[int(idx)]).get("objects", []) or []:
|
| 858 |
key = norm(obj).lower()
|
| 859 |
if key:
|
| 860 |
train_objects[key] += 1
|
| 861 |
vocab = [name for name, _count in train_objects.most_common(args.max_object_vocab)]
|
| 862 |
+
Y = object_matrix(target_rows, vocab)
|
| 863 |
train_idx, val_idx, test_idx = splits["train"], splits["val"], splits["test"]
|
| 864 |
freq = Y[train_idx].mean(axis=0)
|
| 865 |
# Public-safe simple baseline: predict object labels seen in at least 10% of
|
|
|
|
| 868 |
pred_all = np.tile((freq >= 0.10).astype(np.float32), (len(rows), 1))
|
| 869 |
test_metrics = multilabel_metrics(Y[test_idx], pred_all[test_idx])
|
| 870 |
val_metrics = multilabel_metrics(Y[val_idx], pred_all[val_idx]) if len(val_idx) else {}
|
| 871 |
+
out_dir = out_root / task_id
|
| 872 |
out_dir.mkdir(parents=True, exist_ok=True)
|
| 873 |
pred_rows = []
|
| 874 |
for idx in test_idx:
|
|
|
|
| 878 |
pred_rows.append({**feature_rows[idx], "true_objects": ";".join(true_objs), "predicted_objects": ";".join(pred_objs)})
|
| 879 |
metrics = {
|
| 880 |
"status": "pass",
|
| 881 |
+
"task": task_id,
|
| 882 |
+
"task_display_name": task_display_name(task_id),
|
| 883 |
"model_family": "simple_train_object_frequency",
|
| 884 |
"source": "128_episode_qwen_jsonl_metadata",
|
| 885 |
+
"input_features": input_features,
|
| 886 |
"split_policy": "object vocabulary and frequencies are learned from train split only",
|
| 887 |
"num_train_windows": int(len(train_idx)),
|
| 888 |
"num_val_windows": int(len(val_idx)),
|
|
|
|
| 898 |
|
| 899 |
neural_result = None
|
| 900 |
if args.include_neural:
|
| 901 |
+
neural_dir = out_root / "neural_mlp" / task_id
|
| 902 |
try:
|
| 903 |
+
neural_result = neural_multilabel(task_id, rows, feature_rows, X, Y, splits, neural_dir, args, vocab, input_features)
|
| 904 |
except Exception as exc: # pragma: no cover - protects long batch runs from optional NN environment failures.
|
| 905 |
neural_result = {
|
| 906 |
"status": "failed",
|
| 907 |
+
"task": task_id,
|
| 908 |
+
"task_display_name": task_display_name(task_id),
|
| 909 |
"model_family": "neural_mlp_metadata_multilabel",
|
| 910 |
"source": "128_episode_qwen_jsonl_metadata",
|
| 911 |
"primary_metric": "micro_f1",
|
|
|
|
| 917 |
|
| 918 |
|
| 919 |
def neural_multilabel(
|
| 920 |
+
task_id: str,
|
| 921 |
rows: list[dict[str, Any]],
|
| 922 |
feature_rows: list[dict[str, Any]],
|
| 923 |
X: np.ndarray,
|
|
|
|
| 926 |
out_dir: Path,
|
| 927 |
args: argparse.Namespace,
|
| 928 |
vocab: list[str],
|
| 929 |
+
input_features: str,
|
| 930 |
) -> dict[str, Any]:
|
| 931 |
from neural_task_models import train_multilabel
|
| 932 |
|
|
|
|
| 941 |
pred_rows.append({**feature_rows[idx], "true_objects": ";".join(true_objs), "predicted_objects": ";".join(pred_objs)})
|
| 942 |
metrics = {
|
| 943 |
"status": "pass",
|
| 944 |
+
"task": task_id,
|
| 945 |
+
"task_display_name": task_display_name(task_id),
|
| 946 |
"model_family": "neural_mlp_metadata_multilabel",
|
| 947 |
"source": "128_episode_qwen_jsonl_metadata",
|
| 948 |
+
"input_features": input_features,
|
| 949 |
"num_train_windows": int(len(splits["train"])),
|
| 950 |
"num_val_windows": int(len(splits["val"])),
|
| 951 |
"num_test_windows": int(len(splits["test"])),
|
|
|
|
| 972 |
)
|
| 973 |
|
| 974 |
|
| 975 |
+
def action_object_relation_label(row: dict[str, Any]) -> str:
|
| 976 |
+
ans = answer(row)
|
| 977 |
+
action_label = norm(ans.get("action"))
|
| 978 |
+
objects = sorted({norm(obj).lower() for obj in ans.get("objects", []) or [] if norm(obj)})
|
| 979 |
+
if not action_label or not objects:
|
| 980 |
+
return ""
|
| 981 |
+
return f"{action_label}|{'+'.join(objects)}"
|
| 982 |
+
|
| 983 |
+
|
| 984 |
def retrieval_metrics_from_scores(scores: np.ndarray, rows: list[dict[str, Any]], test_idx: np.ndarray) -> tuple[dict[str, Any], list[dict[str, Any]]]:
|
| 985 |
ranks = []
|
| 986 |
rank_rows = []
|
|
|
|
| 1280 |
return {"simple": payload, "neural": neural_result}
|
| 1281 |
|
| 1282 |
|
| 1283 |
+
def regression_metrics(y_true: np.ndarray, y_pred: np.ndarray) -> dict[str, float]:
|
| 1284 |
+
err = y_pred - y_true
|
| 1285 |
+
mae = float(np.mean(np.abs(err)))
|
| 1286 |
+
rmse = float(np.sqrt(np.mean(err**2)))
|
| 1287 |
+
denom = float(np.sum((y_true - y_true.mean(axis=0, keepdims=True)) ** 2))
|
| 1288 |
+
r2 = 1.0 - float(np.sum(err**2)) / max(denom, 1e-12)
|
| 1289 |
+
return {"mae": mae, "rmse": rmse, "r2": r2}
|
| 1290 |
+
|
| 1291 |
+
|
| 1292 |
+
def ridge_regression_predict(
|
| 1293 |
+
X_train: np.ndarray,
|
| 1294 |
+
y_train: np.ndarray,
|
| 1295 |
+
X_test: np.ndarray,
|
| 1296 |
+
l2: float,
|
| 1297 |
+
) -> tuple[np.ndarray, dict[str, np.ndarray]]:
|
| 1298 |
+
mean, std = fit_scaler(X_train)
|
| 1299 |
+
Xtr = (X_train - mean) / std
|
| 1300 |
+
Xte = (X_test - mean) / std
|
| 1301 |
+
Y = np.asarray(y_train, dtype=np.float32)
|
| 1302 |
+
if Y.ndim == 1:
|
| 1303 |
+
Y = Y[:, None]
|
| 1304 |
+
y_mean = Y.mean(axis=0, dtype=np.float64).astype(np.float32)
|
| 1305 |
+
y_std = Y.std(axis=0, dtype=np.float64).astype(np.float32)
|
| 1306 |
+
y_std = np.where(y_std < 1e-6, 1.0, y_std).astype(np.float32)
|
| 1307 |
+
Yz = ((Y - y_mean) / y_std).astype(np.float32)
|
| 1308 |
+
eye = np.eye(Xtr.shape[1], dtype=np.float32) * float(l2)
|
| 1309 |
+
W = np.linalg.solve(Xtr.T @ Xtr + eye, Xtr.T @ Yz).astype(np.float32)
|
| 1310 |
+
pred = Xte @ W
|
| 1311 |
+
pred = pred * y_std + y_mean
|
| 1312 |
+
return pred.astype(np.float32), {"mean": mean, "std": std, "y_mean": y_mean, "y_std": y_std, "W": W}
|
| 1313 |
+
|
| 1314 |
+
|
| 1315 |
+
def regression_task(
|
| 1316 |
+
task_id: str,
|
| 1317 |
+
rows: list[dict[str, Any]],
|
| 1318 |
+
feature_rows: list[dict[str, Any]],
|
| 1319 |
+
X: np.ndarray,
|
| 1320 |
+
y: np.ndarray,
|
| 1321 |
+
splits: dict[str, np.ndarray],
|
| 1322 |
+
out_root: Path,
|
| 1323 |
+
args: argparse.Namespace,
|
| 1324 |
+
input_features: str,
|
| 1325 |
+
) -> dict[str, Any]:
|
| 1326 |
+
train_idx = splits["train"]
|
| 1327 |
+
val_idx = splits["val"]
|
| 1328 |
+
test_idx = splits["test"]
|
| 1329 |
+
out_dir = out_root / task_id
|
| 1330 |
+
out_dir.mkdir(parents=True, exist_ok=True)
|
| 1331 |
+
pred, model = ridge_regression_predict(X[train_idx], y[train_idx], X[test_idx], args.l2)
|
| 1332 |
+
test_metrics = regression_metrics(y[test_idx], pred)
|
| 1333 |
+
val_metrics = {}
|
| 1334 |
+
if len(val_idx):
|
| 1335 |
+
val_pred, _ = ridge_regression_predict(X[train_idx], y[train_idx], X[val_idx], args.l2)
|
| 1336 |
+
val_metrics = regression_metrics(y[val_idx], val_pred)
|
| 1337 |
+
pred_rows = []
|
| 1338 |
+
for local_k, idx in enumerate(test_idx):
|
| 1339 |
+
idx = int(idx)
|
| 1340 |
+
pred_rows.append(
|
| 1341 |
+
{
|
| 1342 |
+
**feature_rows[idx],
|
| 1343 |
+
"true_value": float(y[idx, 0]),
|
| 1344 |
+
"predicted_value": float(pred[local_k, 0]),
|
| 1345 |
+
"absolute_error": float(abs(pred[local_k, 0] - y[idx, 0])),
|
| 1346 |
+
}
|
| 1347 |
+
)
|
| 1348 |
+
metrics = {
|
| 1349 |
+
"status": "pass",
|
| 1350 |
+
"task": task_id,
|
| 1351 |
+
"task_display_name": task_display_name(task_id),
|
| 1352 |
+
"model_family": "simple_ridge_metadata",
|
| 1353 |
+
"source": "128_episode_qwen_jsonl_metadata",
|
| 1354 |
+
"input_features": input_features,
|
| 1355 |
+
"split_policy": "train ridge regressor on train split, report held-out test timing error",
|
| 1356 |
+
"num_train_windows": int(len(train_idx)),
|
| 1357 |
+
"num_val_windows": int(len(val_idx)),
|
| 1358 |
+
"num_test_windows": int(len(test_idx)),
|
| 1359 |
+
"splits": {"val": val_metrics, "test": test_metrics},
|
| 1360 |
+
"primary_metric": "mae",
|
| 1361 |
+
"metric_direction": "lower",
|
| 1362 |
+
"primary_score": test_metrics["mae"],
|
| 1363 |
+
}
|
| 1364 |
+
write_json(out_dir / "metrics.json", metrics)
|
| 1365 |
+
write_csv(out_dir / "predictions.csv", pred_rows)
|
| 1366 |
+
np.savez_compressed(out_dir / "model.npz", **model)
|
| 1367 |
+
|
| 1368 |
+
neural_result = None
|
| 1369 |
+
if args.include_neural:
|
| 1370 |
+
neural_dir = out_root / "neural_mlp" / task_id
|
| 1371 |
+
try:
|
| 1372 |
+
neural_result = neural_regression_task(task_id, rows, feature_rows, X, y, splits, neural_dir, args, input_features)
|
| 1373 |
+
except Exception as exc: # pragma: no cover - protects long batch runs from optional NN environment failures.
|
| 1374 |
+
neural_result = {
|
| 1375 |
+
"status": "failed",
|
| 1376 |
+
"task": task_id,
|
| 1377 |
+
"task_display_name": task_display_name(task_id),
|
| 1378 |
+
"model_family": "neural_mlp_metadata_regressor",
|
| 1379 |
+
"source": "128_episode_qwen_jsonl_metadata",
|
| 1380 |
+
"primary_metric": "mae",
|
| 1381 |
+
"metric_direction": "lower",
|
| 1382 |
+
"primary_score": None,
|
| 1383 |
+
"error": str(exc),
|
| 1384 |
+
}
|
| 1385 |
+
write_json(neural_dir / "metrics.json", neural_result)
|
| 1386 |
+
return {"simple": metrics, "neural": neural_result}
|
| 1387 |
+
|
| 1388 |
+
|
| 1389 |
+
def neural_regression_task(
|
| 1390 |
+
task_id: str,
|
| 1391 |
+
rows: list[dict[str, Any]],
|
| 1392 |
+
feature_rows: list[dict[str, Any]],
|
| 1393 |
+
X: np.ndarray,
|
| 1394 |
+
y: np.ndarray,
|
| 1395 |
+
splits: dict[str, np.ndarray],
|
| 1396 |
+
out_dir: Path,
|
| 1397 |
+
args: argparse.Namespace,
|
| 1398 |
+
input_features: str,
|
| 1399 |
+
) -> dict[str, Any]:
|
| 1400 |
+
from neural_task_models import save_torch_model, train_regressor
|
| 1401 |
+
|
| 1402 |
+
out_dir.mkdir(parents=True, exist_ok=True)
|
| 1403 |
+
train_idx = splits["train"]
|
| 1404 |
+
test_idx = splits["test"]
|
| 1405 |
+
result = train_regressor(X.astype(np.float32), y.astype(np.float32), train_idx, test_idx, neural_config(args))
|
| 1406 |
+
test_metrics = regression_metrics(y[test_idx], result["pred"])
|
| 1407 |
+
pred_rows = []
|
| 1408 |
+
for local_k, idx in enumerate(test_idx):
|
| 1409 |
+
idx = int(idx)
|
| 1410 |
+
pred_rows.append(
|
| 1411 |
+
{
|
| 1412 |
+
**feature_rows[idx],
|
| 1413 |
+
"true_value": float(y[idx, 0]),
|
| 1414 |
+
"predicted_value": float(result["pred"][local_k, 0]),
|
| 1415 |
+
"absolute_error": float(abs(result["pred"][local_k, 0] - y[idx, 0])),
|
| 1416 |
+
}
|
| 1417 |
+
)
|
| 1418 |
+
metrics = {
|
| 1419 |
+
"status": "pass",
|
| 1420 |
+
"task": task_id,
|
| 1421 |
+
"task_display_name": task_display_name(task_id),
|
| 1422 |
+
"model_family": "neural_mlp_metadata_regressor",
|
| 1423 |
+
"source": "128_episode_qwen_jsonl_metadata",
|
| 1424 |
+
"input_features": input_features,
|
| 1425 |
+
"split_policy": "train neural regressor on train split, report held-out test timing error",
|
| 1426 |
+
"num_train_windows": int(len(train_idx)),
|
| 1427 |
+
"num_test_windows": int(len(test_idx)),
|
| 1428 |
+
"history": result["history"],
|
| 1429 |
+
"device": result["device"],
|
| 1430 |
+
"splits": {"test": test_metrics},
|
| 1431 |
+
"primary_metric": "mae",
|
| 1432 |
+
"metric_direction": "lower",
|
| 1433 |
+
"primary_score": test_metrics["mae"],
|
| 1434 |
+
}
|
| 1435 |
+
write_json(out_dir / "metrics.json", metrics)
|
| 1436 |
+
write_csv(out_dir / "predictions.csv", pred_rows)
|
| 1437 |
+
save_torch_model(
|
| 1438 |
+
out_dir / "model.pt",
|
| 1439 |
+
{
|
| 1440 |
+
"state_dict": result["state_dict"],
|
| 1441 |
+
"x_mean": result["x_mean"],
|
| 1442 |
+
"x_std": result["x_std"],
|
| 1443 |
+
"y_mean": result["y_mean"],
|
| 1444 |
+
"y_std": result["y_std"],
|
| 1445 |
+
"metrics": metrics,
|
| 1446 |
+
},
|
| 1447 |
+
)
|
| 1448 |
+
return metrics
|
| 1449 |
+
|
| 1450 |
+
|
| 1451 |
def unsupported_record(task_id: str, out_root: Path, reason: str, primary_metric: str) -> dict[str, Any]:
|
| 1452 |
payload = {
|
| 1453 |
"status": "unsupported_without_raw_128_feature_blocks",
|
|
|
|
| 1548 |
result = classification_baseline(task_id, rows, feature_rows, X, splits, lambda row, k=key: norm(answer(row).get(k)), out, args)
|
| 1549 |
task_results.append({"task": task_id, "task_display_name": task_display_name(task_id), **result})
|
| 1550 |
log("object_relevance: start")
|
| 1551 |
+
task_results.append(
|
| 1552 |
+
{
|
| 1553 |
+
"task": "object_relevance",
|
| 1554 |
+
"task_display_name": task_display_name("object_relevance"),
|
| 1555 |
+
**simple_multilabel(
|
| 1556 |
+
"object_relevance",
|
| 1557 |
+
rows,
|
| 1558 |
+
rows,
|
| 1559 |
+
feature_rows,
|
| 1560 |
+
X,
|
| 1561 |
+
splits,
|
| 1562 |
+
out,
|
| 1563 |
+
args,
|
| 1564 |
+
"frame/context metadata plus hashed prompt/options/main_task text; answer_json fields are excluded from inputs",
|
| 1565 |
+
),
|
| 1566 |
+
}
|
| 1567 |
+
)
|
| 1568 |
log("caption_grounding: start")
|
| 1569 |
task_results.append({"task": "caption_grounding", "task_display_name": task_display_name("caption_grounding"), **caption_grounding(rows, episodes, splits, out, args)})
|
| 1570 |
log("temporal_order: start")
|
| 1571 |
task_results.append({"task": "temporal_order", "task_display_name": task_display_name("temporal_order"), **temporal_order(rows, X, splits, out, args)})
|
| 1572 |
+
log("long_horizon_next_action / next_subtask_forecast / object_set_forecast: resolving future windows")
|
| 1573 |
+
current_idx, future_idx = make_future_subset(rows, args.future_frames)
|
| 1574 |
+
current_rows = [rows[int(idx)] for idx in current_idx]
|
| 1575 |
+
future_rows = [rows[int(idx)] for idx in future_idx]
|
| 1576 |
+
current_feature_rows = [feature_rows[int(idx)] for idx in current_idx]
|
| 1577 |
+
current_splits = subset_splits(splits, current_idx)
|
| 1578 |
+
current_X = X[current_idx]
|
| 1579 |
+
future_action_by_id = {
|
| 1580 |
+
str(current_rows[pos].get("id")): norm(answer(future_rows[pos]).get("action"))
|
| 1581 |
+
for pos in range(len(current_rows))
|
| 1582 |
+
}
|
| 1583 |
+
future_subtask_by_id = {
|
| 1584 |
+
str(current_rows[pos].get("id")): norm(answer(future_rows[pos]).get("subtask"))
|
| 1585 |
+
for pos in range(len(current_rows))
|
| 1586 |
+
}
|
| 1587 |
+
log("long_horizon_next_action: start")
|
| 1588 |
+
task_results.append(
|
| 1589 |
+
{
|
| 1590 |
+
"task": "long_horizon_next_action",
|
| 1591 |
+
"task_display_name": task_display_name("long_horizon_next_action"),
|
| 1592 |
+
**classification_baseline(
|
| 1593 |
+
"long_horizon_next_action",
|
| 1594 |
+
current_rows,
|
| 1595 |
+
current_feature_rows,
|
| 1596 |
+
current_X,
|
| 1597 |
+
current_splits,
|
| 1598 |
+
lambda row: future_action_by_id.get(str(row.get("id")), ""),
|
| 1599 |
+
out,
|
| 1600 |
+
args,
|
| 1601 |
+
),
|
| 1602 |
+
}
|
| 1603 |
+
)
|
| 1604 |
+
log("next_subtask_forecast: start")
|
| 1605 |
+
task_results.append(
|
| 1606 |
+
{
|
| 1607 |
+
"task": "next_subtask_forecast",
|
| 1608 |
+
"task_display_name": task_display_name("next_subtask_forecast"),
|
| 1609 |
+
**classification_baseline(
|
| 1610 |
+
"next_subtask_forecast",
|
| 1611 |
+
current_rows,
|
| 1612 |
+
current_feature_rows,
|
| 1613 |
+
current_X,
|
| 1614 |
+
current_splits,
|
| 1615 |
+
lambda row: future_subtask_by_id.get(str(row.get("id")), ""),
|
| 1616 |
+
out,
|
| 1617 |
+
args,
|
| 1618 |
+
),
|
| 1619 |
+
}
|
| 1620 |
+
)
|
| 1621 |
+
log("action_object_relation: start")
|
| 1622 |
+
task_results.append(
|
| 1623 |
+
{
|
| 1624 |
+
"task": "action_object_relation",
|
| 1625 |
+
"task_display_name": task_display_name("action_object_relation"),
|
| 1626 |
+
**classification_baseline(
|
| 1627 |
+
"action_object_relation",
|
| 1628 |
+
rows,
|
| 1629 |
+
feature_rows,
|
| 1630 |
+
X,
|
| 1631 |
+
splits,
|
| 1632 |
+
action_object_relation_label,
|
| 1633 |
+
out,
|
| 1634 |
+
args,
|
| 1635 |
+
),
|
| 1636 |
+
}
|
| 1637 |
+
)
|
| 1638 |
+
log("object_set_forecast: start")
|
| 1639 |
+
task_results.append(
|
| 1640 |
+
{
|
| 1641 |
+
"task": "object_set_forecast",
|
| 1642 |
+
"task_display_name": task_display_name("object_set_forecast"),
|
| 1643 |
+
**simple_multilabel(
|
| 1644 |
+
"object_set_forecast",
|
| 1645 |
+
current_rows,
|
| 1646 |
+
future_rows,
|
| 1647 |
+
current_feature_rows,
|
| 1648 |
+
current_X,
|
| 1649 |
+
current_splits,
|
| 1650 |
+
out,
|
| 1651 |
+
args,
|
| 1652 |
+
f"current-window frame/context metadata plus hashed prompt/options/main_task text; target object set +{args.future_frames} frames",
|
| 1653 |
+
),
|
| 1654 |
+
}
|
| 1655 |
+
)
|
| 1656 |
+
log("time_to_transition: start")
|
| 1657 |
+
task_results.append(
|
| 1658 |
+
{
|
| 1659 |
+
"task": "time_to_transition",
|
| 1660 |
+
"task_display_name": task_display_name("time_to_transition"),
|
| 1661 |
+
**regression_task(
|
| 1662 |
+
"time_to_transition",
|
| 1663 |
+
rows,
|
| 1664 |
+
feature_rows,
|
| 1665 |
+
X,
|
| 1666 |
+
time_to_transition_targets(rows, args.transition_cap_frames),
|
| 1667 |
+
splits,
|
| 1668 |
+
out,
|
| 1669 |
+
args,
|
| 1670 |
+
f"frame/context metadata plus hashed prompt/options/main_task text; target is frames to next action boundary capped at {args.transition_cap_frames}",
|
| 1671 |
+
),
|
| 1672 |
+
}
|
| 1673 |
+
)
|
| 1674 |
for task_id, spec in UNSUPPORTED_TASKS.items():
|
| 1675 |
log(f"{task_id}: recording unsupported status")
|
| 1676 |
task_results.append({"task": task_id, "task_display_name": task_display_name(task_id), **unsupported_record(task_id, out, spec["reason"], spec["primary_metric"])})
|