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"title": "Ropedia Xperience-10M 128-Episode Task Suite Enhancement Pack",
"status": "pass",
"run_id": "task_suite_enhancement_128_v1_20260608",
"generated_at_utc": "2026-06-08T12:30:01+00:00",
"scope": "No-new-episode enhancement plan over the current selected 128-episode 96/16/16 split.",
"current_128_split": {
"total_windows": 3808,
"split_windows": {
"test": 448,
"train": 2848,
"val": 512
},
"selected_episode_counts": {
"test": 16,
"train": 96,
"val": 16
},
"windowed_episode_counts": {
"test": 14,
"train": 89,
"val": 16
},
"unique_main_tasks": 106,
"windows_per_episode": {
"min": 32,
"median": 32,
"max": 32
}
},
"dense_window_scenarios": [
{
"id": "current_export",
"window_frames": 20,
"stride_frames": "selected_sparse_windows",
"role": "current public 128-episode JSON-task export",
"estimated_windows": 3808,
"estimated_split_windows": {
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"train": 2848,
"val": 512
},
"multiplier_vs_current_export": 1.0,
"source_note": "Estimated from current public-safe window frame spans; the real exporter must still validate raw-stream availability and label coverage."
},
{
"id": "dense_20f_stride20",
"window_frames": 20,
"stride_frames": 20,
"role": "non-overlap dense coverage over each observed episode frame span",
"estimated_windows": 30422,
"estimated_split_windows": {
"test": 3383,
"train": 22822,
"val": 4217
},
"multiplier_vs_current_export": 7.99,
"source_note": "Estimated from current public-safe window frame spans; the real exporter must still validate raw-stream availability and label coverage."
},
{
"id": "dense_20f_stride10",
"window_frames": 20,
"stride_frames": 10,
"role": "2x overlap action/subtask densification",
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"estimated_split_windows": {
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"train": 45555,
"val": 8418
},
"multiplier_vs_current_export": 15.95,
"source_note": "Estimated from current public-safe window frame spans; the real exporter must still validate raw-stream availability and label coverage."
},
{
"id": "dense_20f_stride5",
"window_frames": 20,
"stride_frames": 5,
"role": "high-overlap action boundary and transition stress setting",
"estimated_windows": 121331,
"estimated_split_windows": {
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"train": 91021,
"val": 16820
},
"multiplier_vs_current_export": 31.86,
"source_note": "Estimated from current public-safe window frame spans; the real exporter must still validate raw-stream availability and label coverage."
},
{
"id": "medium_40f_stride20",
"window_frames": 40,
"stride_frames": 20,
"role": "subtask/procedure context window",
"estimated_windows": 30303,
"estimated_split_windows": {
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"train": 22733,
"val": 4201
},
"multiplier_vs_current_export": 7.96,
"source_note": "Estimated from current public-safe window frame spans; the real exporter must still validate raw-stream availability and label coverage."
},
{
"id": "long_80f_stride40",
"window_frames": 80,
"stride_frames": 40,
"role": "procedure and world-model context window",
"estimated_windows": 15067,
"estimated_split_windows": {
"test": 1674,
"train": 11305,
"val": 2088
},
"multiplier_vs_current_export": 3.96,
"source_note": "Estimated from current public-safe window frame spans; the real exporter must still validate raw-stream availability and label coverage."
},
{
"id": "multiscale_20s10_40s20_80s40",
"role": "recommended no-new-episode v5 export: short action windows plus medium/long procedure context",
"components": [
"dense_20f_stride10",
"medium_40f_stride20",
"long_80f_stride40"
],
"estimated_windows": 106095,
"estimated_split_windows": {
"test": 11795,
"train": 79593,
"val": 14707
},
"multiplier_vs_current_export": 27.86,
"source_note": "Composite planning estimate; store as a new export run rather than replacing existing 128-episode packages."
}
],
"hierarchical_target_contract": {
"id": "xperience10m_128_hierarchical_action_targets_v1",
"status": "ready_for_export",
"purpose": "Reduce fine-grained label sparsity without changing the sealed 96/16/16 episode split.",
"target_fields": [
{
"field": "action_family",
"source": "normalized true action string",
"values": [
"locomotion",
"reach_grasp_release",
"place_arrange_align",
"manipulate_adjust",
"tool_cut_mark_write",
"sort_count_organize",
"inspect_observe_use",
"clean_cook",
"other_fine_action",
"unknown"
],
"metric": "macro_f1"
},
{
"field": "action_verb",
"source": "first normalized verb phrase from action label",
"metric": "macro_f1 with train-seen and unseen slices"
},
{
"field": "fine_action",
"source": "existing action label",
"metric": "exact match and label-normalized semantic family match"
},
{
"field": "subtask_family",
"source": "normalized subtask phrase or main task fallback",
"metric": "accuracy and macro_f1"
},
{
"field": "contact_transition",
"source": "existing contact and transition fields",
"metric": "accuracy, balanced accuracy, calibration"
},
{
"field": "object_set",
"source": "existing objects list",
"metric": "micro_f1 and object-category recall"
}
],
"public_safety": [
"No raw MP4/HDF5/RRD files are written.",
"No full Qwen/Cosmos weights are mirrored.",
"Generated labels and aggregate metrics remain public-safe derived metadata."
]
},
"task_bottlenecks": [
{
"task": "next_action",
"display_name": "Next-Action Prediction",
"priority": "highest",
"simple_status": "pass",
"simple_primary_metric": "macro_f1",
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"neural_status": "pass",
"neural_primary_score": 0.0,
"num_classes": 1184,
"unseen_test_class_count": 145,
"bottleneck": "fine-grained label explosion and held-out unseen labels",
"next_action": "add hierarchical action/subtask families plus label-normalized scoring"
},
{
"task": "timeline_action",
"display_name": "Action Recognition",
"priority": "highest",
"simple_status": "pass",
"simple_primary_metric": "macro_f1",
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"neural_status": "pass",
"neural_primary_score": 0.0,
"num_classes": 1187,
"unseen_test_class_count": 144,
"bottleneck": "fine-grained label explosion and held-out unseen labels",
"next_action": "add hierarchical action/subtask families plus label-normalized scoring"
},
{
"task": "timeline_subtask",
"display_name": "Procedure Step Recognition",
"priority": "highest",
"simple_status": "pass",
"simple_primary_metric": "macro_f1",
"simple_primary_score": 0.0,
"neural_status": "pass",
"neural_primary_score": 0.0,
"num_classes": 850,
"unseen_test_class_count": 113,
"bottleneck": "fine-grained label explosion and held-out unseen labels",
"next_action": "add hierarchical action/subtask families plus label-normalized scoring"
},
{
"task": "cross_modal_retrieval",
"display_name": "Cross-Modal Retrieval",
"priority": "high",
"simple_status": "unsupported_without_raw_128_feature_blocks",
"simple_primary_metric": "mrr",
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"neural_status": "not_run",
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"num_classes": null,
"unseen_test_class_count": null,
"bottleneck": "missing raw 128-episode feature blocks",
"next_action": "export compact raw-feature shards for this task before model comparison"
},
{
"task": "hand_trajectory_forecast",
"display_name": "Hand Trajectory Forecasting",
"priority": "high",
"simple_status": "unsupported_without_raw_128_feature_blocks",
"simple_primary_metric": "mpjpe",
"simple_primary_score": null,
"neural_status": "not_run",
"neural_primary_score": null,
"num_classes": null,
"unseen_test_class_count": null,
"bottleneck": "missing raw 128-episode feature blocks",
"next_action": "export compact raw-feature shards for this task before model comparison"
},
{
"task": "misalignment_detection",
"display_name": "Multimodal Synchronization Detection",
"priority": "high",
"simple_status": "unsupported_without_raw_128_feature_blocks",
"simple_primary_metric": "f1",
"simple_primary_score": null,
"neural_status": "not_run",
"neural_primary_score": null,
"num_classes": null,
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"bottleneck": "missing raw 128-episode feature blocks",
"next_action": "export compact raw-feature shards for this task before model comparison"
},
{
"task": "modality_reconstruction",
"display_name": "Cross-Modal Reconstruction",
"priority": "high",
"simple_status": "unsupported_without_raw_128_feature_blocks",
"simple_primary_metric": "r2",
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"neural_status": "not_run",
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"bottleneck": "missing raw 128-episode feature blocks",
"next_action": "export compact raw-feature shards for this task before model comparison"
},
{
"task": "caption_grounding",
"display_name": "Language Grounding",
"priority": "medium",
"simple_status": "pass",
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"neural_status": "not_run",
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"num_classes": null,
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"bottleneck": "weak public-safe metadata/text baseline",
"next_action": "add dense windows and stronger fusion baselines before interpreting model quality"
},
{
"task": "contact_prediction",
"display_name": "Contact State Prediction",
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"bottleneck": "usable control task",
"next_action": "keep as sanity/control metric for future dense-window and model runs"
},
{
"task": "object_relevance",
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"priority": "medium",
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"bottleneck": "moderate task signal, still needs robustness split",
"next_action": "add session/task-family slices and bootstrap confidence intervals"
},
{
"task": "temporal_order",
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},
{
"task": "transition_detection",
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}
],
"qwen_v4_error_pressure": {
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"action_family_error_summary": [
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},
{
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{
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{
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{
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{
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],
"top_true_objects": [
{
"object": "smartphone",
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},
{
"object": "table",
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},
{
"object": "scissors",
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},
{
"object": "water bottle",
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},
{
"object": "pen",
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},
{
"object": "paper",
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},
{
"object": "cardboard",
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},
{
"object": "utility knife",
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},
{
"object": "marker",
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},
{
"object": "puzzle box",
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},
{
"object": "paper strips",
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},
{
"object": "buttons",
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},
{
"object": "cardboard box",
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},
{
"object": "ruler",
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},
{
"object": "power bank",
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},
{
"object": "star beads",
"count": 21
},
{
"object": "cardboard pieces",
"count": 20
},
{
"object": "hand",
"count": 19
},
{
"object": "canned food",
"count": 19
},
{
"object": "jigsaw puzzle",
"count": 19
}
]
},
"cosmos3_super_forward_dynamics_reference": {
"status": "verified",
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"train_rows": null,
"val_rows": null,
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},
"experiment_backlog": [
{
"id": "dense_window_export_v1",
"priority": 1,
"status": "ready_to_implement",
"goal": "Create a new dense-window export over the same 128 episodes without replacing existing JSONL packages.",
"expected_artifacts": [
"dataset_dense_20f_stride10.jsonl",
"dataset_dense_multiscale_manifest.json",
"label_family_distribution.json"
],
"gate": "episode ids and split assignment must exactly match the current 96/16/16 split"
},
{
"id": "hierarchical_qwen3_v5",
"priority": 2,
"status": "ready_after_dense_export",
"goal": "Train/evaluate Qwen3 with hierarchical action/subtask targets, constrained label options, and no-public-overwrite packaging.",
"suggested_setup": "high-rank LoRA or partial projector/last-layer unfreeze before full-parameter tuning",
"primary_comparison": "Qwen3 v4 action/subtask/next-action plus seen/unseen-label slices"
},
{
"id": "raw_feature_unblocker_128",
"priority": 3,
"status": "ready_to_implement_on_training_host",
"goal": "Export compact 128-episode raw feature shards for tasks currently marked unsupported_without_raw_128_feature_blocks.",
"target_tasks": [
"hand_trajectory_forecast",
"cross_modal_retrieval",
"modality_reconstruction",
"misalignment_detection"
]
},
{
"id": "cosmos3_fd_v2_multiscale",
"priority": 4,
"status": "ready_after_dense_export",
"goal": "Continue Cosmos3-Super forward-dynamics with multiscale horizons and temporal consistency metrics.",
"primary_comparison": "Cosmos3-Super Forward-Dynamics v1 validation/test MSE and rank-level loss records"
},
{
"id": "robustness_and_confidence_pack",
"priority": 5,
"status": "ready_from_existing_outputs",
"goal": "Add bootstrap confidence intervals, task-family slices, session slices, and random-time/random-label sanity checks.",
"public_output": "results/omni_finetune/task_suite_enhancement_128_v1_20260608/robustness_pack_v1.json"
}
],
"public_artifacts": {
"result_dir": "results/omni_finetune/task_suite_enhancement_128_v1_20260608",
"public_json": "docs/data/task_suite_enhancement_128.json",
"public_markdown": "TASK_SUITE_ENHANCEMENT_128.md"
},
"non_overwrite_policy": {
"result_directory_created_once": true,
"stable_public_summaries_update_to_latest_enhancement_pack": true,
"prior_model_result_packages_overwritten": false
}
}
|