Add files using upload-large-folder tool

docs/data/artifact_index.json

@@ -1,6 +1,6 @@
 {
   "title": "Ropedia Xperience-10M Task Suite Artifact Index",
-  "generated_at_utc": "2026-06-18T18:18:15+00:00",
+  "generated_at_utc": "2026-06-18T20:26:34+00:00",
   "status": "pass",
   "artifact_count": 214,
   "missing": [],
@@ -180,8 +180,8 @@
       "surface": "website_hf",
       "shows": "High-resolution slide diagram for the vision-language-action training pipeline direction.",
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@@ -213,8 +213,8 @@
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       "id": "omni_model_extension_contract",
@@ -610,7 +610,7 @@
       "shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
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       "bytes": 4432,
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@@ -730,8 +730,8 @@
       "surface": "website_hf",
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-      "sha256": "af0f0787616cac6cc345a143b1ca6af927f39bc0be1b4dc56959e54de81d1a0c"
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@@ -742,7 +742,7 @@
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       "bytes": 51064,
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@@ -752,8 +752,8 @@
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       "id": "task_method_20_result_matrix_json",
@@ -763,8 +763,8 @@
       "surface": "website_hf",
       "shows": "Machine-readable 9-method by 20-task matrix where every method has 20 records and scoreless cells carry unsupported/not-evaluated reasons.",
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-      "sha256": "8a57b21ef4c9c3018c641bfddbbc4739edfadbf8b3b30c259c285a5f1ced93af"
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       "id": "task_method_20_result_matrix",
@@ -774,8 +774,8 @@
       "surface": "repo_hf",
       "shows": "Reader-facing table that separates 20 records per method from numeric scored axes, documented raw128 proxy scores, unsupported metadata targets, and model targets not evaluated in verified packages.",
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-      "bytes": 3922,
-      "sha256": "13afff29d923a8308469c822bf5e08beb2c933da7d70bb9879201079ce8e9920"
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     {
       "id": "task_method_20_gap_audit_json",
@@ -785,8 +785,8 @@
       "surface": "website_hf",
       "shows": "Machine-readable 180-record gap ledger with numeric scores, scoreless cells, explicit status reasons, and next evidence needed before new scores can be published.",
       "exists": true,
-      "bytes": 32834,
-      "sha256": "e021201c00afbc2427d8e538288aade576d74e09f4dc04765081f78352413c80"
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       "id": "task_method_20_gap_audit",
@@ -796,8 +796,8 @@
       "surface": "repo_hf",
       "shows": "Reader-facing ledger that lists every scoreless method-task cell and the concrete target or model-output evidence required before it can become numeric.",
       "exists": true,
-      "bytes": 9538,
-      "sha256": "0bd37a47ef1de63618a429a3288a99df22b6d071cbdb13bc77599295468cf221"
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       "id": "unified_task_model_radar_chart",
@@ -807,8 +807,8 @@
       "surface": "website_hf",
       "shows": "Compares minimal and neural MLP baselines across all 20 tasks, with Qwen3/Cosmos task-aligned model overlays.",
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-      "sha256": "66b3f285ecb9a3bf7d1125495fc3b6d4400edacb59700e06e9b504c9767d434e"
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     {
       "id": "single_episode_task_model_radar_chart",
@@ -829,8 +829,8 @@
       "surface": "website_hf",
       "shows": "Separates the selected 128-episode methods: raw-feature simple/NN as complete 20/20 scored polygons and metadata/Qwen/Cosmos as task-aligned overlays.",
       "exists": true,
-      "bytes": 48263,
-      "sha256": "9538bfb512f16bbd280151923adf8a23377bfaed2a8be5961a25eaf0a11d1404"
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       "id": "unified_task_model_radar_builder",
@@ -840,8 +840,8 @@
       "surface": "repo_hf",
       "shows": "Regenerates the direction-aware radar chart and machine-readable metric overlay JSON.",
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-      "bytes": 55045,
-      "sha256": "69924d315bf1fb39f382b6771a0bcea140582d480b64c65e694921807fa40f90"
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@@ -895,8 +895,8 @@
       "surface": "repo_hf",
       "shows": "Scores task 16 action-object relation only where verified held-out prediction JSON already contains action and object-set fields.",
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-      "sha256": "aafa4b93dca228b77cdb18f45fd50ae24ea6092d77a3d5524b4e66e8396662dc"
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     {
       "id": "existing_model_output_task_probe_script",
@@ -906,8 +906,8 @@
       "surface": "repo_hf",
       "shows": "Derives task-specific scores from committed verified model outputs without running new inference or backfilling absent targets.",
       "exists": true,
-      "bytes": 36845,
-      "sha256": "23546a22959180f24313702f341d439799f1e8e21c30776d22142f3fa29eb02e"
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     {
       "id": "a100_128_metadata_task_baselines",
@@ -1116,7 +1116,7 @@
       "shows": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
       "exists": true,
       "bytes": 8100,
-      "sha256": "a26ea708042e053c32088206e870c85271280f38ea8aa9deaab356a8d14336f8"
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     {
       "id": "public_surface_qa",
@@ -1321,7 +1321,7 @@
       "volatile": true,
       "shows": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
       "exists": true,
-      "bytes": 924768,
+      "bytes": 928308,
       "hash_policy": "existence_and_size_only"
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docs/data/publication_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-18T19:47:12+00:00",
+  "generated_at_utc": "2026-06-18T20:35:04+00:00",
   "checks": [
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@@ -216,8 +216,8 @@
     "github_repo": {
       "root": "repo",
       "exists": true,
-      "file_count": 1362,
-      "text_file_count": 1138,
+      "file_count": 1365,
+      "text_file_count": 1140,
       "largest_file": {
         "path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
         "bytes": 55702978
@@ -227,8 +227,8 @@
     "hf_space_bundle": {
       "root": "hf_publish/space",
       "exists": true,
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-      "text_file_count": 196,
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       "largest_file": {
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@@ -238,8 +238,8 @@
     "hf_artifact_bundle": {
       "root": "hf_publish/artifacts",
       "exists": true,
-      "file_count": 3990,
-      "text_file_count": 1150,
+      "file_count": 3993,
+      "text_file_count": 1152,
       "largest_file": {
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         "bytes": 135591061
@@ -249,8 +249,8 @@
     "hf_model_bundle": {
       "root": "hf_publish/model",
       "exists": true,
-      "file_count": 4734,
-      "text_file_count": 1318,
+      "file_count": 4737,
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       "largest_file": {
         "path": "results/omni_finetune/xperience10m_128ep_dense_multiscale_hierarchical_v1_20260608/dense_multiscale_windows.jsonl",
         "bytes": 135591061

docs/data/quality_gates.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Release Checks",
   "status": "pass",
-  "generated_at_utc": "2026-06-18T18:20:07+00:00",
+  "generated_at_utc": "2026-06-18T20:26:35+00:00",
   "rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
   "automated_gates": [
     {

docs/data/scope_claims_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-18T18:19:48+00:00",
+  "generated_at_utc": "2026-06-18T20:34:38+00:00",
   "summary": {
     "qwen3_omni_verified_diagnostic_pilot": true,
     "dataset_manifest_num_episodes": 119,

docs/data/source_alignment_audit.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Source Alignment Note",
   "status": "pass",
-  "generated_at_utc": "2026-06-18T18:19:45+00:00",
+  "generated_at_utc": "2026-06-18T20:34:39+00:00",
   "alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
   "alignment_summary": {
     "full_dataset_repo": "ropedia-ai/xperience-10m",

docs/data/task_method_20_gap_audit.json

@@ -1,10 +1,10 @@
 {
-  "generated_at_utc": "2026-06-18T18:18:12+00:00",
+  "generated_at_utc": "2026-06-18T20:25:46+00:00",
   "immediate_actions": [
     {
       "artifact": "docs/data/task_method_20_gap_audit.json",
       "id": "gap_audit",
-      "purpose": "Keep the 33 scoreless cells visible and reproducible."
+      "purpose": "Keep the 32 scoreless cells visible and reproducible."
     },
     {
       "artifact": "scripts/omni/score_model_output_probes.py",
@@ -24,11 +24,11 @@
       "proxy_scored_task_count": 0,
       "result_record_count": 20,
       "scope": "128 selected episodes, held-out test",
-      "scored_task_count": 7,
-      "scoreless_task_count": 13,
+      "scored_task_count": 8,
+      "scoreless_task_count": 12,
       "status_counts": {
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-        "scored": 7
+        "not_evaluated_in_verified_package": 12,
+        "scored": 8
       }
     },
     "cosmos3_super_reasoner": {
@@ -135,14 +135,14 @@
     }
   },
   "missing_by_method": {
-    "cosmos3_nano_future_window": 13,
+    "cosmos3_nano_future_window": 12,
     "cosmos3_super_reasoner": 11,
     "metadata128_neural_mlp": 2,
     "metadata128_simple": 2,
     "qwen3_omni_v6_lora": 5
   },
   "missing_by_status": {
-    "not_evaluated_in_verified_package": 29,
+    "not_evaluated_in_verified_package": 28,
     "not_supported_by_metadata_only_package": 2,
     "unsupported_without_required_target": 2
   },
@@ -206,9 +206,6 @@
       "metadata128_neural_mlp",
       "metadata128_simple",
       "qwen3_omni_v6_lora"
-    ],
-    "20 Time-to-Next-Transition Regression": [
-      "cosmos3_nano_future_window"
     ]
   },
   "missing_records": [
@@ -627,19 +624,6 @@
       "task_id": "camera_view_sync_retrieval",
       "task_label": "Camera-View Synchronization Retrieval",
       "task_number": 19
-    },
-    {
-      "method": "Cosmos3-Nano Future Window",
-      "metric_key": "mae",
-      "reason": "the verified public model package did not ask this branch to emit that task target; a new task-specific evaluation package is required for a numeric score",
-      "recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
-      "scope": "multi_episode_128_partial_model_overlay",
-      "series_id": "cosmos3_nano_future_window",
-      "status": "not_evaluated_in_verified_package",
-      "status_label": "not evaluated",
-      "task_id": "time_to_transition",
-      "task_label": "Time-to-Next-Transition Regression",
-      "task_number": 20
     }
   ],
   "proxy_records": [
@@ -688,8 +672,8 @@
     "method_count": 9,
     "method_task_record_count": 180,
     "proxy_scored_method_task_count": 4,
-    "scored_method_task_count": 147,
-    "scoreless_method_task_count": 33,
+    "scored_method_task_count": 148,
+    "scoreless_method_task_count": 32,
     "task_count": 20
   },
   "source_matrix": "docs/data/task_method_20_result_matrix.json",

docs/data/task_method_20_result_matrix.json

@@ -1,11 +1,11 @@
 {
   "title": "Task Method 20-Result Matrix",
   "status": "pass",
-  "generated_at_utc": "2026-06-18T18:18:12+00:00",
+  "generated_at_utc": "2026-06-18T20:25:46+00:00",
   "task_count": 20,
   "method_count": 9,
   "method_task_record_count": 180,
-  "scored_method_task_count": 147,
+  "scored_method_task_count": 148,
   "series": [
     {
       "id": "minimal",
@@ -205,20 +205,20 @@
       "kind": "partial_128_episode_world_model_overlay",
       "scope": "128 selected episodes, held-out test",
       "stroke_dasharray": "2 7",
-      "method_detail": "Verified Cosmos3-Nano future-window compatibility metrics, plus task 10 reconstruction quality and task 13 scored from existing held-out future-window artifacts.",
+      "method_detail": "Verified Cosmos3-Nano future-window compatibility metrics, plus task 10 reconstruction quality, task 13, and a derived task-20 boundary timing probe scored from existing held-out future-window artifacts.",
       "plotted_as": "colored point overlay",
       "result_record_count": 20,
-      "scored_task_count": 7,
-      "covered_task_count": 7,
+      "scored_task_count": 8,
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       "proxy_scored_task_count": 0,
-      "scoreless_task_count": 13,
+      "scoreless_task_count": 12,
       "unsupported_task_count": 0,
-      "not_evaluated_task_count": 13,
+      "not_evaluated_task_count": 12,
       "status_counts": {
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-        "scored": 7
+        "not_evaluated_in_verified_package": 12,
+        "scored": 8
       },
-      "coverage_fraction": 0.35,
+      "coverage_fraction": 0.4,
       "result_record_fraction": 1.0
     }
   ],
@@ -3451,17 +3451,17 @@
       "task_label": "Time-to-Next-Transition Regression",
       "series_id": "cosmos3_nano_future_window",
       "method": "Cosmos3-Nano Future Window",
-      "status": "not_evaluated_in_verified_package",
-      "status_label": "not evaluated",
-      "scored": false,
+      "status": "scored",
+      "status_label": "scored",
+      "scored": true,
       "proxy_scored": false,
-      "raw": null,
-      "raw_text": "n/a",
-      "normalized_score": null,
-      "metric_key": "mae",
-      "source": null,
+      "raw": 33.80952380952381,
+      "raw_text": "33.81",
+      "normalized_score": 0.3116682871966295,
+      "metric_key": "time_to_transition_mae",
+      "source": "results/omni_finetune/model_output_task_probes_20260616/time_to_transition/cosmos3_nano_future_window/metrics.json",
       "scope": "multi_episode_128_partial_model_overlay",
-      "reason": "the verified public model package did not ask this branch to emit that task target; a new task-specific evaluation package is required for a numeric score"
+      "reason": null
     }
   ]
 }

docs/data/unified_task_model_radar.json

@@ -1,11 +1,11 @@
 {
   "title": "Unified 20-Task Model Radar",
   "status": "pass",
-  "generated_at_utc": "2026-06-18T18:18:12+00:00",
+  "generated_at_utc": "2026-06-18T20:25:46+00:00",
   "task_count": 20,
   "method_count": 9,
   "method_task_record_count": 180,
-  "scored_method_task_count": 147,
+  "scored_method_task_count": 148,
   "normalization_policy": {
     "higher_is_better": "bounded metrics are plotted directly on 0-1 axes after clipping to [0, 1]",
     "lower_is_better": "lower-error metrics are converted to best_observed_value / raw_value within the same task",
@@ -214,20 +214,20 @@
       "kind": "partial_128_episode_world_model_overlay",
       "scope": "128 selected episodes, held-out test",
       "stroke_dasharray": "2 7",
-      "method_detail": "Verified Cosmos3-Nano future-window compatibility metrics, plus task 10 reconstruction quality and task 13 scored from existing held-out future-window artifacts.",
+      "method_detail": "Verified Cosmos3-Nano future-window compatibility metrics, plus task 10 reconstruction quality, task 13, and a derived task-20 boundary timing probe scored from existing held-out future-window artifacts.",
       "plotted_as": "colored point overlay",
       "result_record_count": 20,
-      "scored_task_count": 7,
-      "covered_task_count": 7,
+      "scored_task_count": 8,
+      "covered_task_count": 8,
       "proxy_scored_task_count": 0,
-      "scoreless_task_count": 13,
+      "scoreless_task_count": 12,
       "unsupported_task_count": 0,
-      "not_evaluated_task_count": 13,
+      "not_evaluated_task_count": 12,
       "status_counts": {
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-        "scored": 7
+        "not_evaluated_in_verified_package": 12,
+        "scored": 8
       },
-      "coverage_fraction": 0.35,
+      "coverage_fraction": 0.4,
       "result_record_fraction": 1.0
     }
   ],
@@ -2384,6 +2384,17 @@
           "raw_text": "52.95",
           "status_label": "scored"
         },
+        "cosmos3_nano_future_window": {
+          "raw": 33.80952380952381,
+          "metric_key": "time_to_transition_mae",
+          "source": "results/omni_finetune/model_output_task_probes_20260616/time_to_transition/cosmos3_nano_future_window/metrics.json",
+          "scope": "multi_episode_128_partial_model_overlay",
+          "status": "scored",
+          "reason": null,
+          "normalized_score": 0.3116682871966295,
+          "raw_text": "33.81",
+          "status_label": "scored"
+        },
         "qwen3_omni_v6_lora": {
           "raw": 134.0687422166874,
           "metric_key": "time_to_transition_mae",
@@ -2438,17 +2449,6 @@
           "normalized_score": 0.24867468405504953,
           "raw_text": "42.37",
           "status_label": "scored"
-        },
-        "cosmos3_nano_future_window": {
-          "raw": null,
-          "metric_key": "mae",
-          "source": null,
-          "scope": "multi_episode_128_partial_model_overlay",
-          "status": "not_evaluated_in_verified_package",
-          "reason": "the verified public model package did not ask this branch to emit that task target; a new task-specific evaluation package is required for a numeric score",
-          "normalized_score": null,
-          "raw_text": "n/a",
-          "status_label": "not evaluated"
         }
       }
     }
@@ -2507,7 +2507,7 @@
       "id": "cosmos3_nano_future_window",
       "title": "Cosmos3-Nano Future Window",
       "status": "verified_compatibility_eval",
-      "coverage": "20 records / 7 scored task-aligned axes",
+      "coverage": "20 records / 8 scored task-aligned axes",
       "headline": "future retrieval MRR 0.0221; transition accuracy 0.9683",
       "source": "results/omni_finetune/verified_public/xperience10m_cosmos3_nano_128ep_future_window_h5_compat_adapter_eval_test_full/eval/metrics.json"
     },
@@ -5749,17 +5749,17 @@
       "task_label": "Time-to-Next-Transition Regression",
       "series_id": "cosmos3_nano_future_window",
       "method": "Cosmos3-Nano Future Window",
-      "status": "not_evaluated_in_verified_package",
-      "status_label": "not evaluated",
-      "scored": false,
+      "status": "scored",
+      "status_label": "scored",
+      "scored": true,
       "proxy_scored": false,
-      "raw": null,
-      "raw_text": "n/a",
-      "normalized_score": null,
-      "metric_key": "mae",
-      "source": null,
+      "raw": 33.80952380952381,
+      "raw_text": "33.81",
+      "normalized_score": 0.3116682871966295,
+      "metric_key": "time_to_transition_mae",
+      "source": "results/omni_finetune/model_output_task_probes_20260616/time_to_transition/cosmos3_nano_future_window/metrics.json",
       "scope": "multi_episode_128_partial_model_overlay",
-      "reason": "the verified public model package did not ask this branch to emit that task target; a new task-specific evaluation package is required for a numeric score"
+      "reason": null
     }
   ]
 }

results/omni_finetune/model_output_task_probes_20260616/RUN_REPORT.md

@@ -1,6 +1,6 @@
 # Existing Model-Output Task Probes
 
-Generated: `2026-06-18T18:16:09+00:00`
+Generated: `2026-06-18T20:25:45+00:00`
 
 This package scores only task targets already present in verified held-out
 prediction JSON. It does not run new inference and does not infer targets that
@@ -10,4 +10,4 @@ are absent from a model branch.
 | --- | --- | --- | --- | ---: | ---: | ---: | --- |
 | Qwen3-Omni v6 LoRA | qwen3_omni_v6_lora | scored | action_object_relation | n/a | 0.000222 | n/a | results/omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full/eval/predictions.jsonl |
 | Cosmos3-Super Reasoner | cosmos3_super_reasoner | scored | action_object_relation, long_horizon_next_action, time_to_transition | 0.008808 | 0.000000 | 52.946 | results/omni_finetune/verified_public/xperience10m_cosmos3_super_reasoner_128ep_test_full_20260607/eval/predictions.jsonl |
-| Cosmos3-Nano Future Window | cosmos3_nano_future_window | scored | long_horizon_next_action, modality_reconstruction | 0.002491 | n/a | n/a | results/omni_finetune/verified_public/xperience10m_cosmos3_nano_128ep_future_window_h5_compat_adapter_eval_test_full/eval/future_predictions.jsonl |
+| Cosmos3-Nano Future Window | cosmos3_nano_future_window | scored | long_horizon_next_action, modality_reconstruction, time_to_transition | 0.002491 | n/a | 33.810 | results/omni_finetune/verified_public/xperience10m_cosmos3_nano_128ep_future_window_h5_compat_adapter_eval_test_full/eval/future_predictions.jsonl |

results/omni_finetune/model_output_task_probes_20260616/action_object_relation/cosmos3_super_reasoner/metrics.json

@@ -8,7 +8,7 @@
     "predictions_csv": "results/omni_finetune/model_output_task_probes_20260616/action_object_relation/cosmos3_super_reasoner/predictions.csv"
   },
   "excluded_rows_without_true_relation": 2,
-  "generated_at_utc": "2026-06-18T18:16:09+00:00",
+  "generated_at_utc": "2026-06-18T20:25:44+00:00",
   "labels": [
     "Adjust canned food on shelf :: canned food | cardboard box | store shelf",
     "Adjust item on shelf :: shelf | stationery package",

results/omni_finetune/model_output_task_probes_20260616/action_object_relation/qwen3_omni_v6_lora/metrics.json

@@ -8,7 +8,7 @@
     "predictions_csv": "results/omni_finetune/model_output_task_probes_20260616/action_object_relation/qwen3_omni_v6_lora/predictions.csv"
   },
   "excluded_rows_without_true_relation": 18,
-  "generated_at_utc": "2026-06-18T18:16:08+00:00",
+  "generated_at_utc": "2026-06-18T20:25:43+00:00",
   "labels": [
     "Adjust canned food on shelf :: canned food | cardboard box | store shelf",
     "Adjust item on shelf :: hand | packaged item | shelf",

results/omni_finetune/model_output_task_probes_20260616/long_horizon_next_action/cosmos3_nano_future_window/metrics.json

@@ -7,7 +7,7 @@
   },
   "dataset_contract": "xperience10m_future_window_world_model_v0",
   "excluded_rows_without_true_action": 0,
-  "generated_at_utc": "2026-06-18T18:16:09+00:00",
+  "generated_at_utc": "2026-06-18T20:25:45+00:00",
   "horizon_windows": 5,
   "known_limitation": "The verified package records horizon_windows rather than a raw wall-clock horizon. This score should be read as the Cosmos-Nano future-window branch for task 13, not as independent proof of an exact five-second raw-video target.",
   "labels": [

results/omni_finetune/model_output_task_probes_20260616/long_horizon_next_action/cosmos3_super_reasoner/metrics.json

@@ -5,7 +5,7 @@
     "per_class_metrics_csv": "results/omni_finetune/model_output_task_probes_20260616/long_horizon_next_action/cosmos3_super_reasoner/per_class_metrics.csv",
     "predictions_csv": "results/omni_finetune/model_output_task_probes_20260616/long_horizon_next_action/cosmos3_super_reasoner/predictions.csv"
   },
-  "generated_at_utc": "2026-06-18T18:16:09+00:00",
+  "generated_at_utc": "2026-06-18T20:25:44+00:00",
   "known_limitation": "This uses the next_action field already emitted by the verified structured-output eval. It is target-backed, but it is not a separately prompted future-task generation run.",
   "labels": [
     "Adjust canned food on shelf",

results/omni_finetune/model_output_task_probes_20260616/modality_reconstruction/cosmos3_nano_future_window/metrics.json

@@ -4,7 +4,7 @@
   },
   "feature_reconstruction_error": 3479.218317102503,
   "feature_reconstruction_quality": 0.0002873382957286892,
-  "generated_at_utc": "2026-06-18T18:16:09+00:00",
+  "generated_at_utc": "2026-06-18T20:25:45+00:00",
   "known_limitation": "The metric is comparable as evidence that the branch emitted a reconstruction objective, but it should not be read as an R2 head trained on the exact simple baseline feature split.",
   "metric_key": "feature_reconstruction_quality",
   "model_id": "cosmos3_nano_future_window",

results/omni_finetune/model_output_task_probes_20260616/summary.json

@@ -1,5 +1,5 @@
 {
-  "generated_at_utc": "2026-06-18T18:16:09+00:00",
+  "generated_at_utc": "2026-06-18T20:25:45+00:00",
   "methods": {
     "cosmos3_nano_future_window": {
       "label": "Cosmos3-Nano Future Window",
@@ -20,6 +20,12 @@
           "num_samples": 378,
           "source_metrics_json": "results/omni_finetune/model_output_task_probes_20260616/modality_reconstruction/cosmos3_nano_future_window/metrics.json",
           "source_verified_metrics_json": "results/omni_finetune/verified_public/xperience10m_cosmos3_nano_128ep_future_window_h5_compat_adapter_eval_test_full/eval/metrics.json"
+        },
+        "time_to_transition": {
+          "scored_rows": 378,
+          "source_metrics_json": "results/omni_finetune/model_output_task_probes_20260616/time_to_transition/cosmos3_nano_future_window/metrics.json",
+          "time_to_transition_mae": 33.80952380952381,
+          "within_20_frames": 0.6666666666666666
         }
       },
       "unsupported_tasks": {
@@ -72,7 +78,7 @@
     }
   },
   "scope": "Task-specific scoring from existing verified held-out model outputs. No new model inference, training, or target backfilling is performed.",
-  "scored_method_task_count_added": 6,
+  "scored_method_task_count_added": 7,
   "status": "pass",
   "task_ids_added_to_matrix": [
     "action_object_relation",

results/omni_finetune/model_output_task_probes_20260616/time_to_transition/cosmos3_nano_future_window/metrics.json

@@ -0,0 +1,34 @@
+{
+  "artifact_files": {
+    "metrics_json": "results/omni_finetune/model_output_task_probes_20260616/time_to_transition/cosmos3_nano_future_window/metrics.json",
+    "predictions_csv": "results/omni_finetune/model_output_task_probes_20260616/time_to_transition/cosmos3_nano_future_window/predictions.csv"
+  },
+  "cap_frames": 200,
+  "generated_at_utc": "2026-06-18T20:25:45+00:00",
+  "known_limitation": "This is a derived future-window action-sequence probe, not evidence of a separately trained scalar time-regression head. It is included because task 20's boundary target is deterministically derivable once future-window action predictions are verified.",
+  "metric_direction": "lower",
+  "metric_key": "time_to_transition_mae",
+  "missing_pred_action_count": 0,
+  "missing_window_count": 0,
+  "model_id": "cosmos3_nano_future_window",
+  "model_label": "Cosmos3-Nano Future Window",
+  "normalization_policy": "Rows are joined to the compact source-window map by future_record_id, grouped by episode, and sorted by future-window start frame. The target and prediction are frames until the next action-label change, capped at 200 frames.",
+  "primary_metric": "time_to_transition_mae",
+  "primary_score": 33.80952380952381,
+  "scope": "held_out_test_existing_future_window_action_sequence_probe",
+  "score_policy": "Derived from existing verified held-out Cosmos3-Nano future-window predictions. The model did not emit a direct scalar time-to-transition value; predicted boundary timing is computed from changes in its predicted future-action sequence and compared with the true held-out future-action boundary timing.",
+  "scored_rows": 378,
+  "source_prediction_jsonl": "results/omni_finetune/verified_public/xperience10m_cosmos3_nano_128ep_future_window_h5_compat_adapter_eval_test_full/eval/future_predictions.jsonl",
+  "source_window_map_jsonl": "results/omni_finetune/model_output_task_probes_20260616/cosmos3_nano_future_window_source_window_map.jsonl",
+  "source_window_rows": 448,
+  "status": "pass",
+  "task_id": "time_to_transition",
+  "task_label": "Time to Transition",
+  "task_number": 20,
+  "time_to_transition_mae": 33.80952380952381,
+  "time_to_transition_rmse": 63.68739793777617,
+  "title": "Cosmos3-Nano Future Window Time-to-Transition Future-Window Probe",
+  "total_prediction_rows": 378,
+  "within_20_frames": 0.6666666666666666,
+  "within_50_frames": 0.7328042328042328
+}

results/omni_finetune/model_output_task_probes_20260616/time_to_transition/cosmos3_nano_future_window/predictions.csv

@@ -0,0 +1,379 @@
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+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:future:00004:h5,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:58,1160,Observe workspace,Grasp cleaning bottle,120.0,140.0,20.0,200,False
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:future:00005:h5,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:59,1180,Observe workspace,Grasp cleaning bottle,100.0,120.0,20.0,298,False
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:future:00006:h5,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:64,1280,Approach boxes,Grasp cleaning bottle,120.0,20.0,100.0,352,False
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:future:00007:h5,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:65,1300,Approach boxes,Put down smartphone,100.0,100.0,0.0,63,False
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:future:00008:h5,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:70,1400,Reach for wire hangers,Grasp cleaning bottle,120.0,200.0,80.0,345,False
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:future:00009:h5,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:76,1520,Extract wire hangers from box,Grasp cleaning bottle,200.0,200.0,0.0,184,False
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:future:00010:h5,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:77,1540,Extract wire hangers from box,Grasp cleaning bottle,200.0,200.0,0.0,360,False
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:future:00011:h5,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:100,2000,Bundle display hooks,Grasp cleaning bottle,200.0,200.0,0.0,212,False
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:future:00012:h5,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:101,2020,Bundle display hooks,Grasp cleaning bottle,200.0,200.0,0.0,268,False
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:future:00013:h5,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:126,2520,Release hook,Grasp cleaning bottle,200.0,200.0,0.0,273,False
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:future:00014:h5,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:138,2760,Walk towards other aisles,Grasp cleaning bottle,40.0,200.0,160.0,378,False
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:future:00015:h5,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:140,2800,Move through aisle,Grasp cleaning bottle,200.0,200.0,0.0,295,False
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:future:00016:h5,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:141,2820,Move through aisle,Grasp cleaning bottle,180.0,200.0,20.0,301,False
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:future:00017:h5,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:150,3000,Pick up items from the shopping bag,Grasp cleaning bottle,200.0,200.0,0.0,309,False
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:future:00018:h5,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:151,3020,Pick up items from the shopping bag,Grasp cleaning bottle,200.0,200.0,0.0,282,False
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:future:00019:h5,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:164,3280,Place items on the shelf,Walk towards other aisles,160.0,20.0,140.0,236,False
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:future:00020:h5,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:165,3300,Place items on the shelf,Grasp cleaning bottle,140.0,200.0,60.0,157,False
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:future:00021:h5,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:172,3440,Place item on shelf,Grasp cleaning bottle,200.0,200.0,0.0,322,False
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:future:00022:h5,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:173,3460,Place item on shelf,Grasp cleaning bottle,180.0,200.0,20.0,354,False
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:future:00023:h5,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:182,3640,Adjust item on shelf,Grasp cleaning bottle,200.0,200.0,0.0,339,False
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:future:00024:h5,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:183,3660,Adjust item on shelf,Grasp cleaning bottle,200.0,200.0,0.0,375,False
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:future:00025:h5,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:226,4520,Reach for another item,Grasp cleaning bottle,200.0,200.0,0.0,329,False
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:future:00026:h5,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:244,4880,Reach for next item,Grasp cleaning bottle,200.0,200.0,0.0,366,False
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:future:00000:h5,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:71,1420,Hold canned food,Grasp cleaning bottle,200.0,200.0,0.0,116,False
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:future:00001:h5,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:82,1640,Reach into box,Grasp cleaning bottle,160.0,200.0,40.0,147,False
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:future:00002:h5,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:90,1800,Pick up canned food,Grasp cleaning bottle,200.0,200.0,0.0,108,False
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:future:00003:h5,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:91,1820,Pick up canned food,Grasp cleaning bottle,200.0,200.0,0.0,70,False
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:future:00004:h5,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:106,2120,Retrieve next canned food item,Grasp cleaning bottle,200.0,200.0,0.0,310,False
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:future:00005:h5,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:140,2800,Align canned food on shelf,Grasp cleaning bottle,200.0,200.0,0.0,126,False
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:future:00006:h5,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:141,2820,Align canned food on shelf,Grasp cleaning bottle,200.0,200.0,0.0,170,False
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:future:00007:h5,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:154,3080,Reach for next canned food,Grasp cleaning bottle,120.0,200.0,80.0,127,False
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:future:00008:h5,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:160,3200,Retrieve canned food from box,Grasp cleaning bottle,120.0,200.0,80.0,105,False
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:future:00009:h5,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:166,3320,Place another canned food on shelf,Grasp cleaning bottle,200.0,200.0,0.0,292,False
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:future:00010:h5,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:167,3340,Place another canned food on shelf,Grasp cleaning bottle,200.0,200.0,0.0,348,False
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:future:00011:h5,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:190,3800,Adjust canned food on shelf,Grasp cleaning bottle,160.0,200.0,40.0,358,False
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:future:00012:h5,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:191,3820,Adjust canned food on shelf,Grasp cleaning bottle,140.0,200.0,60.0,363,False
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:future:00013:h5,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:198,3960,Move hand away from shelf,Grasp cleaning bottle,160.0,200.0,40.0,199,False
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:future:00014:h5,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:199,3980,Move hand away from shelf,Grasp cleaning bottle,140.0,200.0,60.0,103,False
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:future:00015:h5,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:206,4120,Place can on shelf,Grasp cleaning bottle,200.0,200.0,0.0,61,False
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:future:00016:h5,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:207,4140,Place can on shelf,Grasp cleaning bottle,200.0,200.0,0.0,94,False
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:future:00017:h5,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:218,4360,Move hand away,Grasp cleaning bottle,40.0,200.0,160.0,196,False
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:future:00018:h5,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:219,4380,Move hand away,Grasp cleaning bottle,20.0,200.0,180.0,136,False
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:future:00019:h5,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:220,4400,Hold earbud case,Grasp cleaning bottle,200.0,200.0,0.0,117,False
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:future:00020:h5,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:221,4420,Hold earbud case,Grasp cleaning bottle,200.0,200.0,0.0,139,False
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:future:00021:h5,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:236,4720,Open earbud case,Grasp cleaning bottle,80.0,200.0,120.0,274,False
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:future:00022:h5,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:237,4740,Open earbud case,Grasp cleaning bottle,60.0,200.0,140.0,334,False
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:future:00023:h5,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:240,4800,Pick up smartphone,Grasp cleaning bottle,80.0,200.0,120.0,202,False
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:future:00024:h5,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:241,4820,Pick up smartphone,Grasp cleaning bottle,60.0,200.0,140.0,239,False
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:future:00025:h5,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:244,4880,Interact with smartphone,Grasp cleaning bottle,200.0,200.0,0.0,339,False
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:future:00026:h5,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:245,4900,Interact with smartphone,Grasp cleaning bottle,200.0,200.0,0.0,355,False
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:future:00000:h5,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:16,320,Sort craft items,Walking towards door,80.0,80.0,0.0,138,False
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:future:00001:h5,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:20,400,Move smartphone,Move smartphone,200.0,20.0,180.0,1,True
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:future:00002:h5,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:21,420,Move smartphone,Adjust item on shelf,200.0,20.0,180.0,15,False
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:future:00003:h5,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:22,440,Move smartphone,Grasp cleaning bottle,200.0,200.0,0.0,324,False
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:future:00004:h5,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:32,640,Place hand on table,Grasp cleaning bottle,200.0,40.0,160.0,376,False
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:future:00005:h5,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:33,660,Place hand on table,Grasp cleaning bottle,200.0,20.0,180.0,323,False
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:future:00006:h5,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:34,680,Place hand on table,Move smartphone,200.0,200.0,0.0,47,False
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:future:00007:h5,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:50,1000,Use smartphone,Grasp cleaning bottle,200.0,200.0,0.0,262,False
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:future:00008:h5,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:51,1020,Use smartphone,Grasp cleaning bottle,200.0,200.0,0.0,247,False
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:future:00009:h5,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:70,1400,Browse smartphone screen,Place hand on table,200.0,20.0,180.0,50,False
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:future:00010:h5,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:71,1420,Browse smartphone screen,Grasp cleaning bottle,200.0,200.0,0.0,176,False
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:future:00011:h5,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:72,1440,Browse smartphone screen,Grasp cleaning bottle,200.0,200.0,0.0,348,False
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+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:future:00009:h5,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:92,1840,Place puzzle piece,Grasp cleaning bottle,160.0,200.0,40.0,35,False
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+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:future:00014:h5,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:121,2420,Search for puzzle piece,Grasp cleaning bottle,200.0,200.0,0.0,15,False
+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:future:00015:h5,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:140,2800,Release puzzle piece,Grasp cleaning bottle,80.0,200.0,120.0,14,False
+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:future:00016:h5,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:141,2820,Release puzzle piece,Grasp cleaning bottle,60.0,200.0,140.0,9,False
+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:future:00017:h5,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:144,2880,Adjust puzzle piece,Grasp cleaning bottle,120.0,200.0,80.0,26,False
+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:future:00018:h5,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:145,2900,Adjust puzzle piece,Grasp cleaning bottle,100.0,200.0,100.0,25,False
+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:future:00019:h5,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:146,2920,Adjust puzzle piece,Grasp cleaning bottle,80.0,200.0,120.0,23,False
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+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:future:00020:h5,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:152,3040,Sort and adjust button line,Grasp cleaning bottle,200.0,200.0,0.0,275,False
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:future:00021:h5,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:170,3400,Use smartphone,Grasp cleaning bottle,200.0,200.0,0.0,59,False
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:future:00022:h5,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:171,3420,Use smartphone,Grasp cleaning bottle,200.0,200.0,0.0,47,False
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:future:00023:h5,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:172,3440,Use smartphone,Grasp cleaning bottle,200.0,200.0,0.0,44,False
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:future:00024:h5,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:200,4000,Sort and place buttons,Grasp cleaning bottle,200.0,200.0,0.0,289,False
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:future:00025:h5,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:201,4020,Sort and place buttons,Grasp cleaning bottle,200.0,200.0,0.0,270,False
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:future:00026:h5,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:202,4040,Sort and place buttons,Grasp cleaning bottle,200.0,200.0,0.0,294,False
+8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:future:00000:h5,test,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:qa:70,1400,Hold container lid,Grasp cleaning bottle,200.0,200.0,0.0,33,False
+8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:future:00001:h5,test,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:qa:71,1420,Hold container lid,Grasp cleaning bottle,200.0,200.0,0.0,36,False
+8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:future:00002:h5,test,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:qa:90,1800,Move towards the stove,Grasp cleaning bottle,200.0,200.0,0.0,184,False
+8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:future:00003:h5,test,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:qa:100,2000,Open stove pot lid,Grasp cleaning bottle,200.0,200.0,0.0,173,False
+8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:future:00004:h5,test,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:qa:120,2400,Walking towards door,Grasp cleaning bottle,120.0,200.0,80.0,372,False
+8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:future:00005:h5,test,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:qa:126,2520,Closing the door,Grasp cleaning bottle,160.0,200.0,40.0,110,False
+8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:future:00006:h5,test,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:qa:127,2540,Closing the door,Grasp cleaning bottle,140.0,200.0,60.0,356,False
+8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:future:00007:h5,test,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:qa:134,2680,Picking up bottle,Grasp cleaning bottle,120.0,200.0,80.0,161,False
+8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:future:00008:h5,test,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:qa:140,2800,Wipe kitchen counter,Grasp cleaning bottle,200.0,200.0,0.0,292,False
+8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:future:00009:h5,test,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:qa:150,3000,Rinse cloth in sink,Walking towards door,120.0,120.0,0.0,31,False
+8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:future:00010:h5,test,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:qa:156,3120,Move towards kitchen area,Grasp cleaning bottle,200.0,200.0,0.0,185,False
+8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:future:00011:h5,test,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:qa:166,3320,Place cloth on floor,Grasp cleaning bottle,80.0,200.0,120.0,19,False
+8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:future:00012:h5,test,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:qa:170,3400,Reach for cleaning supplies,Grasp cleaning bottle,200.0,200.0,0.0,34,False
+8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:future:00013:h5,test,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:qa:184,3680,Grasp cleaning bottle,Grasp cleaning bottle,160.0,200.0,40.0,1,True
+8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:future:00014:h5,test,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:qa:185,3700,Grasp cleaning bottle,Grasp cleaning bottle,140.0,200.0,60.0,91,False
+8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:future:00015:h5,test,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:qa:192,3840,Remove cleaning bottle,Grasp cleaning bottle,160.0,200.0,40.0,6,False
+8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:future:00016:h5,test,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:qa:200,4000,Washing hands in sink,Grasp cleaning bottle,80.0,200.0,120.0,318,False
+8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:future:00017:h5,test,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:qa:204,4080,Grasping cleaning cloth,Grasp cleaning bottle,160.0,200.0,40.0,275,False
+8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:future:00018:h5,test,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:qa:205,4100,Grasping cleaning cloth,Grasp cleaning bottle,140.0,200.0,60.0,332,False
+8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:future:00019:h5,test,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:qa:212,4240,Wiping countertop,Grasp cleaning bottle,160.0,200.0,40.0,333,False
+8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:future:00020:h5,test,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:qa:220,4400,Lift pot lid,Grasp cleaning bottle,80.0,200.0,120.0,192,False
+8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:future:00021:h5,test,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:qa:224,4480,Stir contents,Grasp cleaning bottle,160.0,200.0,40.0,351,False
+8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:future:00022:h5,test,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:qa:232,4640,Place lid back,Grasp cleaning bottle,80.0,200.0,120.0,266,False
+8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:future:00023:h5,test,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:qa:236,4720,Adjust pot position,Grasp cleaning bottle,80.0,200.0,120.0,298,False
+8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:future:00024:h5,test,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:qa:237,4740,Adjust pot position,Grasp cleaning bottle,60.0,200.0,140.0,337,False
+8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:future:00025:h5,test,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:qa:240,4800,Move pot,Grasp cleaning bottle,80.0,200.0,120.0,251,False
+8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:future:00026:h5,test,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:qa:244,4880,Place towel,Grasp cleaning bottle,200.0,200.0,0.0,368,False
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:future:00000:h5,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:30,600,Pick up new cardboard piece,Grasp cleaning bottle,200.0,200.0,0.0,78,False
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:future:00001:h5,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:31,620,Pick up new cardboard piece,Grasp cleaning bottle,200.0,200.0,0.0,79,False
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:future:00002:h5,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:70,1400,Hold cardboard piece,Grasp cleaning bottle,200.0,200.0,0.0,191,False
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:future:00003:h5,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:71,1420,Hold cardboard piece,Grasp cleaning bottle,200.0,200.0,0.0,169,False
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:future:00004:h5,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:72,1440,Hold cardboard piece,Grasp cleaning bottle,200.0,200.0,0.0,320,False
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:future:00005:h5,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:90,1800,Organize cardboard pieces,Grasp cleaning bottle,200.0,200.0,0.0,305,False
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:future:00006:h5,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:91,1820,Organize cardboard pieces,Grasp cleaning bottle,200.0,200.0,0.0,155,False
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:future:00007:h5,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:110,2200,Cut cardboard piece,Grasp cleaning bottle,200.0,200.0,0.0,164,False
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:future:00008:h5,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:111,2220,Cut cardboard piece,Grasp cleaning bottle,200.0,200.0,0.0,283,False
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:future:00009:h5,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:112,2240,Cut cardboard piece,Grasp cleaning bottle,200.0,200.0,0.0,306,False
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:future:00010:h5,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:170,3400,Marking cardboard piece,Grasp cleaning bottle,200.0,200.0,0.0,149,False
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:future:00011:h5,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:171,3420,Marking cardboard piece,Grasp cleaning bottle,200.0,200.0,0.0,122,False
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:future:00012:h5,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:172,3440,Marking cardboard piece,Grasp cleaning bottle,200.0,200.0,0.0,114,False
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:future:00013:h5,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:230,4600,Release cardboard piece and gesture,Grasp cleaning bottle,200.0,200.0,0.0,178,False
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:future:00014:h5,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:231,4620,Release cardboard piece and gesture,Grasp cleaning bottle,200.0,200.0,0.0,101,False
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:future:00015:h5,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:276,5520,Move marker and adjust hand,Grasp cleaning bottle,120.0,200.0,80.0,129,False
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:future:00016:h5,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:277,5540,Move marker and adjust hand,Grasp cleaning bottle,100.0,200.0,100.0,154,False
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:future:00017:h5,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:278,5560,Move marker and adjust hand,Grasp cleaning bottle,80.0,200.0,120.0,223,False
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:future:00018:h5,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:282,5640,Identify next cardboard piece,Grasp cleaning bottle,160.0,200.0,40.0,71,False
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:future:00019:h5,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:283,5660,Identify next cardboard piece,Grasp cleaning bottle,140.0,200.0,60.0,144,False
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:future:00020:h5,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:284,5680,Identify next cardboard piece,Grasp cleaning bottle,120.0,200.0,80.0,91,False
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:future:00021:h5,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:290,5800,Observe and pause,Grasp cleaning bottle,40.0,200.0,160.0,308,False
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:future:00022:h5,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:291,5820,Observe and pause,Grasp cleaning bottle,20.0,200.0,180.0,120,False
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:future:00023:h5,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:292,5840,Gesturing,Grasp cleaning bottle,40.0,200.0,160.0,263,False
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:future:00024:h5,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:293,5860,Gesturing,Grasp cleaning bottle,20.0,200.0,180.0,115,False
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:future:00025:h5,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:294,5880,Resume observation,Grasp cleaning bottle,200.0,200.0,0.0,142,False
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+a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:future:00011:h5,test,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:qa:21,420,Cut cardboard,Grasp cleaning bottle,200.0,200.0,0.0,196,False
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+a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:future:00013:h5,test,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:qa:23,460,Cut cardboard,Grasp cleaning bottle,200.0,200.0,0.0,243,False
+a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:future:00014:h5,test,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:qa:24,480,Cut cardboard,Grasp cleaning bottle,200.0,200.0,0.0,191,False
+a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:future:00015:h5,test,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:qa:25,500,Cut cardboard,Grasp cleaning bottle,200.0,200.0,0.0,237,False
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+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:future:00001:h5,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:101,2020,Counting and organizing beads,Grasp cleaning bottle,200.0,200.0,0.0,312,False
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:future:00002:h5,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:120,2400,Pick up star bead,Grasp cleaning bottle,160.0,200.0,40.0,227,False
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:future:00003:h5,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:121,2420,Pick up star bead,Grasp cleaning bottle,140.0,200.0,60.0,231,False
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:future:00004:h5,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:128,2560,Place and count bead,Grasp cleaning bottle,200.0,200.0,0.0,241,False
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:future:00005:h5,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:129,2580,Place and count bead,Grasp cleaning bottle,200.0,200.0,0.0,245,False
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:future:00006:h5,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:150,3000,Sort star-shaped beads,Grasp cleaning bottle,200.0,200.0,0.0,291,False
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:future:00007:h5,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:164,3280,Write count on paper,Grasp cleaning bottle,200.0,200.0,0.0,281,False
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:future:00008:h5,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:180,3600,Hold beads,Grasp cleaning bottle,200.0,200.0,0.0,225,False
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:future:00009:h5,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:181,3620,Hold beads,Grasp cleaning bottle,200.0,200.0,0.0,313,False
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:future:00010:h5,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:200,4000,Arrange star beads,Grasp cleaning bottle,200.0,200.0,0.0,238,False
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:future:00011:h5,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:201,4020,Arrange star beads,Grasp cleaning bottle,200.0,200.0,0.0,244,False
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:future:00012:h5,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:212,4240,Pick up pen,Grasp cleaning bottle,160.0,200.0,40.0,280,False
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:future:00013:h5,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:213,4260,Pick up pen,Grasp cleaning bottle,140.0,200.0,60.0,224,False
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:future:00014:h5,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:220,4400,Counting star beads,Grasp cleaning bottle,200.0,200.0,0.0,323,False
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:future:00015:h5,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:221,4420,Counting star beads,Grasp cleaning bottle,200.0,200.0,0.0,265,False
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:future:00016:h5,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:232,4640,Retrieving more beads,Grasp cleaning bottle,160.0,200.0,40.0,257,False
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:future:00017:h5,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:233,4660,Retrieving more beads,Grasp cleaning bottle,140.0,200.0,60.0,250,False
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:future:00018:h5,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:240,4800,Write on paper,Grasp cleaning bottle,80.0,200.0,120.0,220,False
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:future:00019:h5,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:244,4880,Adjust paper,Grasp cleaning bottle,120.0,200.0,80.0,200,False
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:future:00020:h5,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:245,4900,Adjust paper,Grasp cleaning bottle,100.0,200.0,100.0,197,False
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:future:00021:h5,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:250,5000,Gather star beads,Grasp cleaning bottle,120.0,200.0,80.0,290,False
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:future:00022:h5,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:251,5020,Gather star beads,Grasp cleaning bottle,100.0,200.0,100.0,277,False
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:future:00023:h5,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:256,5120,Arrange star beads for counting,Grasp cleaning bottle,160.0,200.0,40.0,234,False
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:future:00024:h5,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:257,5140,Arrange star beads for counting,Grasp cleaning bottle,140.0,200.0,60.0,270,False
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:future:00025:h5,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:264,5280,Sort and count beads,Grasp cleaning bottle,200.0,200.0,0.0,314,False
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:future:00026:h5,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:265,5300,Sort and count beads,Grasp cleaning bottle,200.0,200.0,0.0,272,False
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:future:00000:h5,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:34,680,Picking up crafting material,Grasp cleaning bottle,120.0,200.0,80.0,109,False
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:future:00001:h5,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:35,700,Picking up crafting material,Grasp cleaning bottle,100.0,200.0,100.0,96,False
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:future:00002:h5,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:40,800,Use phone,Grasp cleaning bottle,200.0,200.0,0.0,140,False
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:future:00003:h5,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:41,820,Use phone,Grasp cleaning bottle,200.0,200.0,0.0,74,False
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:future:00004:h5,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:70,1400,Pick up small piece of material,Grasp cleaning bottle,80.0,200.0,120.0,365,False
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:future:00005:h5,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:71,1420,Pick up small piece of material,Grasp cleaning bottle,60.0,200.0,140.0,307,False
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:future:00006:h5,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:74,1480,Manipulate material,Grasp cleaning bottle,160.0,200.0,40.0,304,False
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:future:00007:h5,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:75,1500,Manipulate material,Grasp cleaning bottle,140.0,200.0,60.0,206,False
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:future:00008:h5,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:82,1640,Place material,Grasp cleaning bottle,160.0,200.0,40.0,350,False
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:future:00009:h5,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:83,1660,Place material,Grasp cleaning bottle,140.0,200.0,60.0,303,False
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:future:00010:h5,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:90,1800,Manipulate yellow strip,Grasp cleaning bottle,200.0,200.0,0.0,211,False
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:future:00011:h5,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:91,1820,Manipulate yellow strip,Grasp cleaning bottle,200.0,200.0,0.0,216,False
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:future:00012:h5,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:120,2400,Manipulating paper strips,Grasp cleaning bottle,200.0,200.0,0.0,212,False
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:future:00013:h5,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:121,2420,Manipulating paper strips,Grasp cleaning bottle,200.0,200.0,0.0,357,False
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:future:00014:h5,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:150,3000,Manipulate paper strip,Grasp cleaning bottle,200.0,200.0,0.0,327,False
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:future:00015:h5,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:151,3020,Manipulate paper strip,Grasp cleaning bottle,200.0,200.0,0.0,266,False
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:future:00016:h5,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:190,3800,Manipulate bead,Grasp cleaning bottle,200.0,200.0,0.0,297,False
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:future:00017:h5,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:191,3820,Manipulate bead,Grasp cleaning bottle,200.0,200.0,0.0,187,False
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:future:00018:h5,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:220,4400,Manipulate beads,Grasp cleaning bottle,200.0,200.0,0.0,46,False
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:future:00019:h5,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:221,4420,Manipulate beads,Grasp cleaning bottle,200.0,200.0,0.0,61,False
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:future:00020:h5,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:240,4800,Use phone while crafting,Grasp cleaning bottle,120.0,200.0,80.0,173,False
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:future:00021:h5,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:246,4920,Place phone down,Grasp cleaning bottle,80.0,200.0,120.0,53,False
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:future:00022:h5,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:247,4940,Place phone down,Grasp cleaning bottle,60.0,200.0,140.0,52,False
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:future:00023:h5,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:250,5000,Hold and manipulate paper strip,Grasp cleaning bottle,200.0,200.0,0.0,66,False
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:future:00024:h5,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:251,5020,Hold and manipulate paper strip,Grasp cleaning bottle,200.0,200.0,0.0,37,False
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:future:00025:h5,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:296,5920,Interact with smartphone,Grasp cleaning bottle,200.0,200.0,0.0,331,False
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:future:00026:h5,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:297,5940,Interact with smartphone,Grasp cleaning bottle,200.0,200.0,0.0,93,False
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:future:00000:h5,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:42,840,Manipulate craft piece,Grasp cleaning bottle,200.0,200.0,0.0,170,False
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:future:00001:h5,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:43,860,Manipulate craft piece,Grasp cleaning bottle,200.0,200.0,0.0,70,False
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:future:00002:h5,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:70,1400,Manipulate craft paper strips,Grasp cleaning bottle,200.0,200.0,0.0,63,False
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:future:00003:h5,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:71,1420,Manipulate craft paper strips,Grasp cleaning bottle,200.0,200.0,0.0,44,False
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:future:00004:h5,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:72,1440,Manipulate craft paper strips,Grasp cleaning bottle,200.0,200.0,0.0,65,False
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:future:00005:h5,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:73,1460,Manipulate craft paper strips,Grasp cleaning bottle,200.0,200.0,0.0,76,False
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:future:00006:h5,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:90,1800,Release scissors,Grasp cleaning bottle,80.0,200.0,120.0,83,False
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:future:00007:h5,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:91,1820,Release scissors,Grasp cleaning bottle,60.0,200.0,140.0,48,False
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:future:00008:h5,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:92,1840,Release scissors,Grasp cleaning bottle,40.0,200.0,160.0,94,False
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:future:00009:h5,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:94,1880,Operate smartphone,Grasp cleaning bottle,200.0,200.0,0.0,67,False
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:future:00010:h5,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:95,1900,Operate smartphone,Grasp cleaning bottle,200.0,200.0,0.0,62,False
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:future:00011:h5,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:96,1920,Operate smartphone,Grasp cleaning bottle,200.0,200.0,0.0,51,False
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:future:00012:h5,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:97,1940,Operate smartphone,Grasp cleaning bottle,200.0,200.0,0.0,71,False
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:future:00013:h5,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:114,2280,Release smartphone,Grasp cleaning bottle,120.0,200.0,80.0,62,False
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:future:00014:h5,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:115,2300,Release smartphone,Grasp cleaning bottle,100.0,200.0,100.0,88,False
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:future:00015:h5,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:116,2320,Release smartphone,Grasp cleaning bottle,80.0,200.0,120.0,42,False
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:future:00016:h5,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:120,2400,Manipulate paper strip,Grasp cleaning bottle,200.0,200.0,0.0,55,False
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:future:00017:h5,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:121,2420,Manipulate paper strip,Grasp cleaning bottle,200.0,200.0,0.0,338,False
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:future:00018:h5,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:122,2440,Manipulate paper strip,Grasp cleaning bottle,200.0,200.0,0.0,286,False
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:future:00019:h5,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:123,2460,Manipulate paper strip,Grasp cleaning bottle,200.0,200.0,0.0,136,False
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:future:00020:h5,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:144,2880,Release paper strip,Grasp cleaning bottle,200.0,200.0,0.0,277,False
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:future:00021:h5,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:145,2900,Release paper strip,Grasp cleaning bottle,200.0,200.0,0.0,316,False
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:future:00022:h5,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:146,2920,Release paper strip,Grasp cleaning bottle,200.0,200.0,0.0,335,False
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:future:00023:h5,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:147,2940,Release paper strip,Grasp cleaning bottle,200.0,200.0,0.0,346,False
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:future:00024:h5,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:190,3800,Sort small craft pieces,Grasp cleaning bottle,200.0,200.0,0.0,253,False
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:future:00025:h5,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:191,3820,Sort small craft pieces,Grasp cleaning bottle,200.0,200.0,0.0,19,False
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:future:00026:h5,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:192,3840,Sort small craft pieces,Grasp cleaning bottle,200.0,200.0,0.0,24,False
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:future:00000:h5,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:31,620,Grasp lantern,Grasp cleaning bottle,180.0,200.0,20.0,213,False
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:future:00001:h5,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:40,800,Grasp lantern component,Grasp cleaning bottle,200.0,200.0,0.0,301,False
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:future:00002:h5,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:41,820,Grasp lantern component,Grasp cleaning bottle,200.0,200.0,0.0,247,False
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:future:00003:h5,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:70,1400,Align paper lantern edges,Grasp cleaning bottle,200.0,200.0,0.0,87,False
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:future:00004:h5,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:71,1420,Align paper lantern edges,Grasp cleaning bottle,200.0,200.0,0.0,118,False
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:future:00005:h5,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:170,3400,Adjust lantern string,Grasp cleaning bottle,120.0,200.0,80.0,82,False
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:future:00006:h5,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:171,3420,Adjust lantern string,Grasp cleaning bottle,100.0,200.0,100.0,136,False
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:future:00007:h5,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:176,3520,Release lantern,Grasp cleaning bottle,120.0,200.0,80.0,130,False
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:future:00008:h5,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:182,3640,Pick up packaged paper lantern component,Grasp cleaning bottle,160.0,200.0,40.0,73,False
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:future:00009:h5,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:190,3800,Handle paper lantern component,Grasp cleaning bottle,200.0,200.0,0.0,60,False
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:future:00010:h5,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:191,3820,Handle paper lantern component,Grasp cleaning bottle,180.0,200.0,20.0,93,False
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:future:00011:h5,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:200,4000,Open folded paper lantern,Grasp cleaning bottle,200.0,200.0,0.0,80,False
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:future:00012:h5,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:201,4020,Open folded paper lantern,Grasp cleaning bottle,200.0,200.0,0.0,54,False
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:future:00013:h5,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:214,4280,Adjust lantern shape,Grasp cleaning bottle,120.0,200.0,80.0,364,False
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:future:00014:h5,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:215,4300,Adjust lantern shape,Grasp cleaning bottle,100.0,200.0,100.0,367,False
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:future:00015:h5,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:220,4400,Hold paper lantern,Grasp cleaning bottle,200.0,200.0,0.0,318,False
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:future:00016:h5,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:221,4420,Hold paper lantern,Grasp cleaning bottle,180.0,200.0,20.0,317,False
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:future:00017:h5,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:230,4600,Apply adhesive tape to lantern,Grasp cleaning bottle,200.0,200.0,0.0,141,False
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:future:00018:h5,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:231,4620,Apply adhesive tape to lantern,Grasp cleaning bottle,180.0,200.0,20.0,176,False
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:future:00019:h5,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:240,4800,Remove paper lantern part from packaging,Grasp cleaning bottle,200.0,200.0,0.0,339,False
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:future:00020:h5,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:250,5000,Remove plastic packaging,Grasp cleaning bottle,160.0,200.0,40.0,70,False
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:future:00021:h5,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:258,5160,Open paper lantern component,Grasp cleaning bottle,200.0,200.0,0.0,283,False
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:future:00022:h5,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:259,5180,Open paper lantern component,Grasp cleaning bottle,200.0,200.0,0.0,158,False
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:future:00023:h5,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:270,5400,Expand paper lantern,Grasp cleaning bottle,200.0,200.0,0.0,96,False
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:future:00024:h5,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:271,5420,Expand paper lantern,Grasp cleaning bottle,200.0,200.0,0.0,93,False
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:future:00025:h5,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:290,5800,Align edges of paper lantern,Grasp cleaning bottle,200.0,200.0,0.0,93,False
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:future:00026:h5,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:291,5820,Align edges of paper lantern,Grasp cleaning bottle,200.0,200.0,0.0,65,False
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:future:00000:h5,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:40,800,Manipulate paper edge,Grasp cleaning bottle,200.0,40.0,160.0,149,False
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:future:00001:h5,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:41,820,Manipulate paper edge,Grasp cleaning bottle,200.0,20.0,180.0,123,False
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:future:00002:h5,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:42,840,Manipulate paper edge,Put down smartphone,200.0,20.0,180.0,311,False
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:future:00003:h5,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:43,860,Manipulate paper edge,Grasp cleaning bottle,200.0,200.0,0.0,44,False
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:future:00004:h5,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:44,880,Manipulate paper edge,Grasp cleaning bottle,200.0,200.0,0.0,40,False
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:future:00005:h5,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:60,1200,Placing paper strip,Grasp cleaning bottle,200.0,200.0,0.0,107,False
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:future:00006:h5,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:61,1220,Placing paper strip,Grasp cleaning bottle,200.0,200.0,0.0,66,False
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:future:00007:h5,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:62,1240,Placing paper strip,Grasp cleaning bottle,200.0,200.0,0.0,371,False
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:future:00008:h5,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:63,1260,Placing paper strip,Grasp cleaning bottle,200.0,200.0,0.0,374,False
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:future:00009:h5,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:90,1800,Manipulate paper strip,Grasp cleaning bottle,200.0,60.0,140.0,67,False
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:future:00010:h5,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:91,1820,Manipulate paper strip,Grasp cleaning bottle,200.0,40.0,160.0,57,False
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:future:00011:h5,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:92,1840,Manipulate paper strip,Grasp cleaning bottle,200.0,20.0,180.0,101,False
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:future:00012:h5,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:93,1860,Manipulate paper strip,Placing paper strip,200.0,200.0,0.0,237,False
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:future:00013:h5,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:94,1880,Manipulate paper strip,Placing paper strip,200.0,200.0,0.0,283,False
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:future:00014:h5,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:146,2920,Securing paper structure,Grasp cleaning bottle,200.0,200.0,0.0,62,False
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:future:00015:h5,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:147,2940,Securing paper structure,Grasp cleaning bottle,200.0,200.0,0.0,171,False
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:future:00016:h5,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:148,2960,Securing paper structure,Grasp cleaning bottle,200.0,200.0,0.0,137,False
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:future:00017:h5,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:149,2980,Securing paper structure,Grasp cleaning bottle,200.0,200.0,0.0,183,False
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:future:00018:h5,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:170,3400,Manipulate adhesive strip,Grasp cleaning bottle,200.0,200.0,0.0,106,False
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:future:00019:h5,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:171,3420,Manipulate adhesive strip,Grasp cleaning bottle,200.0,200.0,0.0,144,False
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:future:00020:h5,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:172,3440,Manipulate adhesive strip,Grasp cleaning bottle,200.0,200.0,0.0,151,False
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:future:00021:h5,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:173,3460,Manipulate adhesive strip,Grasp cleaning bottle,200.0,200.0,0.0,115,False
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:future:00022:h5,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:174,3480,Manipulate adhesive strip,Grasp cleaning bottle,200.0,200.0,0.0,116,False
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:future:00023:h5,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:240,4800,Secure paper edges with adhesive,Grasp cleaning bottle,200.0,200.0,0.0,138,False
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:future:00024:h5,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:241,4820,Secure paper edges with adhesive,Grasp cleaning bottle,200.0,200.0,0.0,127,False
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:future:00025:h5,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:242,4840,Secure paper edges with adhesive,Grasp cleaning bottle,200.0,200.0,0.0,141,False
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:future:00026:h5,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:243,4860,Secure paper edges with adhesive,Grasp cleaning bottle,200.0,200.0,0.0,164,False

results/omni_finetune/model_output_task_probes_20260616/time_to_transition/cosmos3_super_reasoner/metrics.json

@@ -5,7 +5,7 @@
   },
   "cap_frames": 200,
   "excluded_rows_without_true_action": 0,
-  "generated_at_utc": "2026-06-18T18:16:09+00:00",
+  "generated_at_utc": "2026-06-18T20:25:44+00:00",
   "known_limitation": "This is a derived action-sequence probe, not evidence of a separately trained time-regression head. It is included because task 20's target is deterministically derivable from a sequence of action labels.",
   "metric_direction": "lower",
   "metric_key": "time_to_transition_mae",

scripts/omni/score_existing_model_output_task_probes.py

@@ -59,6 +59,10 @@ MODEL_SPECS = {
             "xperience10m_cosmos3_nano_128ep_future_window_h5_compat_adapter_eval_test_full/"
             "dataset/dataset_manifest.json"
         ),
+        "source_window_map_jsonl": (
+            "results/omni_finetune/model_output_task_probes_20260616/"
+            "cosmos3_nano_future_window_source_window_map.jsonl"
+        ),
         "action_object_relation_unsupported_reason": "verified future-window predictions do not contain object-set fields",
     },
 }
@@ -711,6 +715,159 @@ def score_time_to_transition_from_action_sequence(
     return metrics
 
 
+def score_cosmos_nano_time_to_transition_from_future_windows(
+    *,
+    model_id: str,
+    spec: dict[str, Any],
+    prediction_jsonl: Path,
+    source_window_map_jsonl: Path,
+    output_dir: Path,
+    workspace: Path,
+    cap_frames: int = 200,
+) -> dict[str, Any]:
+    source_rows = read_jsonl(prediction_jsonl)
+    window_rows = read_jsonl(source_window_map_jsonl)
+    window_by_id = {str(row.get("id")): row for row in window_rows if row.get("id")}
+    rows: list[dict[str, Any]] = []
+    true_actions: list[str] = []
+    pred_actions: list[str] = []
+    missing_window_count = 0
+    missing_pred_action_count = 0
+
+    for row in source_rows:
+        future_id = str(row.get("future_record_id") or "")
+        window = window_by_id.get(future_id)
+        if not window:
+            missing_window_count += 1
+            continue
+        true_action = normalize_text(row.get("true_action") or window.get("action"))
+        if not true_action:
+            continue
+        pred_action = normalize_text(row.get("pred_action"))
+        if not pred_action:
+            pred_action = "<missing_pred_action>"
+            missing_pred_action_count += 1
+        rows.append(
+            {
+                **row,
+                "center_window": {
+                    "start_frame": window.get("start_frame"),
+                    "end_frame": window.get("end_frame"),
+                    "num_frames": window.get("num_frames"),
+                },
+                "future_record_id": future_id,
+                "future_window_action": window.get("action"),
+            }
+        )
+        true_actions.append(true_action)
+        pred_actions.append(pred_action)
+
+    if not rows:
+        raise RuntimeError(f"no future-window rows could be joined for time-to-transition scoring in {prediction_jsonl}")
+
+    true_dist = transition_distances(rows, true_actions, cap_frames)
+    pred_dist = transition_distances(rows, pred_actions, cap_frames)
+    errors = [abs(pred - true) for pred, true in zip(pred_dist, true_dist)]
+    mae = sum(errors) / len(errors)
+    rmse = (sum(error * error for error in errors) / len(errors)) ** 0.5
+    within_20 = sum(1 for error in errors if error <= 20.0) / len(errors)
+    within_50 = sum(1 for error in errors if error <= 50.0) / len(errors)
+
+    scored_rows = []
+    for row, true_action, pred_action, true_value, pred_value, error in zip(
+        rows,
+        true_actions,
+        pred_actions,
+        true_dist,
+        pred_dist,
+        errors,
+    ):
+        scored_rows.append(
+            {
+                "id": row.get("id"),
+                "split": row.get("split"),
+                "episode_id": row.get("episode_id"),
+                "future_record_id": row.get("future_record_id"),
+                "start_frame": row_start(row),
+                "true_action": true_action,
+                "pred_action": pred_action,
+                "true_time_to_transition_frames": true_value,
+                "pred_time_to_transition_frames": pred_value,
+                "absolute_error_frames": error,
+                "rank": row.get("rank"),
+                "top_k_hit": row.get("top_k_hit"),
+            }
+        )
+
+    metrics = {
+        "title": f"{spec['label']} Time-to-Transition Future-Window Probe",
+        "status": "pass",
+        "generated_at_utc": datetime.now(timezone.utc).isoformat(timespec="seconds"),
+        "model_id": model_id,
+        "model_label": spec["label"],
+        "task_id": "time_to_transition",
+        "task_number": 20,
+        "task_label": "Time to Transition",
+        "metric_key": "time_to_transition_mae",
+        "primary_metric": "time_to_transition_mae",
+        "primary_score": mae,
+        "metric_direction": "lower",
+        "time_to_transition_mae": mae,
+        "time_to_transition_rmse": rmse,
+        "within_20_frames": within_20,
+        "within_50_frames": within_50,
+        "cap_frames": cap_frames,
+        "source_prediction_jsonl": relpath(prediction_jsonl, workspace),
+        "source_window_map_jsonl": relpath(source_window_map_jsonl, workspace),
+        "scope": "held_out_test_existing_future_window_action_sequence_probe",
+        "score_policy": (
+            "Derived from existing verified held-out Cosmos3-Nano future-window predictions. "
+            "The model did not emit a direct scalar time-to-transition value; predicted boundary "
+            "timing is computed from changes in its predicted future-action sequence and compared "
+            "with the true held-out future-action boundary timing."
+        ),
+        "normalization_policy": (
+            "Rows are joined to the compact source-window map by future_record_id, grouped by "
+            "episode, and sorted by future-window start frame. The target and prediction are "
+            f"frames until the next action-label change, capped at {cap_frames} frames."
+        ),
+        "known_limitation": (
+            "This is a derived future-window action-sequence probe, not evidence of a separately "
+            "trained scalar time-regression head. It is included because task 20's boundary target "
+            "is deterministically derivable once future-window action predictions are verified."
+        ),
+        "total_prediction_rows": len(source_rows),
+        "source_window_rows": len(window_rows),
+        "scored_rows": len(scored_rows),
+        "missing_window_count": missing_window_count,
+        "missing_pred_action_count": missing_pred_action_count,
+        "artifact_files": {
+            "metrics_json": relpath(output_dir / "metrics.json", workspace),
+            "predictions_csv": relpath(output_dir / "predictions.csv", workspace),
+        },
+    }
+    write_json(output_dir / "metrics.json", metrics)
+    write_csv(
+        output_dir / "predictions.csv",
+        scored_rows,
+        [
+            "id",
+            "split",
+            "episode_id",
+            "future_record_id",
+            "start_frame",
+            "true_action",
+            "pred_action",
+            "true_time_to_transition_frames",
+            "pred_time_to_transition_frames",
+            "absolute_error_frames",
+            "rank",
+            "top_k_hit",
+        ],
+    )
+    return metrics
+
+
 def build_report(summary: dict[str, Any]) -> str:
     rows = []
     for model_id, result in summary["methods"].items():
@@ -828,6 +985,22 @@ def main() -> int:
                 "feature_reconstruction_error": metrics["feature_reconstruction_error"],
                 "num_samples": metrics.get("num_samples"),
             }
+            window_map_path = workspace / spec["source_window_map_jsonl"]
+            if window_map_path.exists():
+                metrics = score_cosmos_nano_time_to_transition_from_future_windows(
+                    model_id=model_id,
+                    spec=spec,
+                    prediction_jsonl=prediction_path,
+                    source_window_map_jsonl=window_map_path,
+                    output_dir=output_dir / "time_to_transition" / model_id,
+                    workspace=workspace,
+                )
+                task_results["time_to_transition"] = {
+                    "source_metrics_json": metrics["artifact_files"]["metrics_json"],
+                    "scored_rows": metrics["scored_rows"],
+                    "time_to_transition_mae": metrics["time_to_transition_mae"],
+                    "within_20_frames": metrics["within_20_frames"],
+                }
         if spec.get("time_to_transition_from_action_sequence"):
             metrics = score_long_horizon_next_action_from_verified_json(
                 model_id=model_id,