diff --git a/docs/assets/charts/episode128_task_model_radar.svg b/docs/assets/charts/episode128_task_model_radar.svg index 557b9369db5697a48e893d8f6990ebb75866d256..b530bd9f2a84ac8ec472691ba78a3794a70fb5cc 100644 --- a/docs/assets/charts/episode128_task_model_radar.svg +++ b/docs/assets/charts/episode128_task_model_radar.svg @@ -14,11 +14,11 @@ 140 method-task records -107 scored axes +108 scored axes 40/40 raw128 pass -33 explicit scoreless +32 explicit scoreless Normalized task scores Each axis is one task. Longer radius means better after metric-direction normalization. @@ -201,6 +201,7 @@ + Methods compared Each method has 20 records; scored axes and scoreless statuses stay in the JSON matrix. @@ -239,9 +240,9 @@ Cosmos3-Nano Future Window -20 records / 7 scored +20 records / 8 scored Verified Cosmos3-Nano future-window compatibility metrics, plus task 10 -reconstruction quality and task 13 scored from existing held-out future-window +reconstruction quality, task 13, and a derived task-20 boundary timing probe Task axis key Full task names are listed here so the polygon remains readable at homepage scale. diff --git a/docs/assets/charts/unified_task_model_radar.svg b/docs/assets/charts/unified_task_model_radar.svg index 5edf353896ecfe216ff66852d73be72cf34eda57..2952fe3e997bcd35d51cf4414e1b9e8d5884cc68 100644 --- a/docs/assets/charts/unified_task_model_radar.svg +++ b/docs/assets/charts/unified_task_model_radar.svg @@ -14,7 +14,7 @@ 180 method-task records -147 scored axes +148 scored axes 40/40 raw128 pass @@ -241,6 +241,7 @@ + Methods compared Each method has 20 records; scored axes and scoreless statuses stay in the JSON matrix. @@ -289,9 +290,9 @@ Cosmos3-Nano Future Window -20 records / 7 scored +20 records / 8 scored Verified Cosmos3-Nano future-window compatibility metrics, plus task 10 -reconstruction quality and task 13 scored from existing held-out future-window +reconstruction quality, task 13, and a derived task-20 boundary timing probe Task axis key Full task names are listed here so the polygon remains readable at homepage scale. diff --git a/docs/data/artifact_index.json b/docs/data/artifact_index.json index 1b70525d1cb3bf823d1c653d5a465a7b13fae222..fab78c6d62d0a189799c707671a73e144b2c503e 100644 --- a/docs/data/artifact_index.json +++ b/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.", "exists": true, - "bytes": 1553916, - "sha256": "6d502580c9f11b170036843690dff0ef99e146890d9914046b5d4b165bd1f89b" + "bytes": 1853350, + "sha256": "e8d863cc5104602e464048b4bf48f9acf3a108495298d9ec15b2e9cf346f41f9" }, { "id": "spatial_intelligence_source_slide", @@ -213,8 +213,8 @@ "surface": "repo_hf", "shows": "Clean source slide PNG supplied for the vision-language-action public direction figure.", "exists": true, - "bytes": 1003621, - "sha256": "ad2ba5874015272023e2fb2e45bf479de7491faa97adeca343fdbc87421daba0" + "bytes": 1853350, + "sha256": "e8d863cc5104602e464048b4bf48f9acf3a108495298d9ec15b2e9cf346f41f9" }, { "id": "omni_model_extension_contract", @@ -610,7 +610,7 @@ "shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.", "exists": true, "bytes": 4432, - "sha256": "ee8ac18298dec19c8f71785ec2d81733924e75ca6c7dcb1182f2ef170ab8bde1" + "sha256": "73db61959e3738db43f407fc6ca766f6f93ea65c35836b75dea530218acd812f" }, { "id": "source_alignment_validator", @@ -730,8 +730,8 @@ "surface": "website_hf", "shows": "Stores normalized 20-axis radar values, raw task metrics, Qwen3/Cosmos overlay mappings, branch-card caveats, and explicit scoreless status records.", "exists": true, - "bytes": 229333, - "sha256": "af0f0787616cac6cc345a143b1ca6af927f39bc0be1b4dc56959e54de81d1a0c" + "bytes": 229321, + "sha256": "255153784d1dbc49bcd1917762d55211e9f4eef0ac94debb74e62b5eddb50791" }, { "id": "single_episode_task_model_radar_json", @@ -742,7 +742,7 @@ "shows": "Machine-readable split radar for the one-episode Minimal and Neural MLP baselines, both scored on all 20 task contracts.", "exists": true, "bytes": 51064, - "sha256": "9495f2c4ccfb5fe03f33ba0671f6ea577cb6dc141096e49c091209f5eb2ada2d" + "sha256": "4a35c17c39fc8a74ebdbd2ce649935b8f94d819976cc4c24ff128b0d795ae797" }, { "id": "episode128_task_model_radar_json", @@ -752,8 +752,8 @@ "surface": "website_hf", "shows": "Machine-readable split radar for selected 128-episode metadata/raw baselines and verified Qwen3/Cosmos branches, preserving explicit scoreless cells.", "exists": true, - "bytes": 185481, - "sha256": "9e956bf8ed38f0549a81394fb87e91f4b1e87a4a93406df89ffd0e73a6d88247" + "bytes": 185469, + "sha256": "0fc1f8032b30a15da88809369e987ed86c0d050e43e008dedbd695e7571d118d" }, { "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.", "exists": true, - "bytes": 128879, - "sha256": "8a57b21ef4c9c3018c641bfddbbc4739edfadbf8b3b30c259c285a5f1ced93af" + "bytes": 128893, + "sha256": "4588be64142302e7f3d0ea917e0e7321fb84a44dbe38cf45227c6a20cc2f6dd4" }, { "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.", "exists": true, - "bytes": 3922, - "sha256": "13afff29d923a8308469c822bf5e08beb2c933da7d70bb9879201079ce8e9920" + "bytes": 3914, + "sha256": "ef9f888c424830cd96fe3f3340dd67a0202be650d5d90bcac51c5f007d2f83bf" }, { "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" + "bytes": 32032, + "sha256": "9571c5c81cc71bc286125415e2fee3f647c0473d7b3b6190f97a21645682282a" }, { "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" + "bytes": 9348, + "sha256": "822df9f0090f5381e709539a7b69f552e21cd2d929c89c69d5fee7ccaf1a3e25" }, { "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.", "exists": true, - "bytes": 54276, - "sha256": "66b3f285ecb9a3bf7d1125495fc3b6d4400edacb59700e06e9b504c9767d434e" + "bytes": 54385, + "sha256": "f8c4169fa9bf0896b246709de9ad901b83bcb2868d88737b25abfe8b009d18dc" }, { "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" + "bytes": 48372, + "sha256": "14b65dab2994a94e4057610dfe4fb2b7367cc136a8c23e014135cc4d05a546f5" }, { "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.", "exists": true, - "bytes": 55045, - "sha256": "69924d315bf1fb39f382b6771a0bcea140582d480b64c65e694921807fa40f90" + "bytes": 55482, + "sha256": "f23df02a4eddf580df164c549ec75f05fa43132aa93875523719cae84116d119" }, { "id": "task_method_20_gap_audit_builder", @@ -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.", "exists": true, - "bytes": 4120, - "sha256": "aafa4b93dca228b77cdb18f45fd50ae24ea6092d77a3d5524b4e66e8396662dc" + "bytes": 4448, + "sha256": "2b1cc756776683e3969011a8c3504eef12f1246f8ef744fd7603376a63fb1a07" }, { "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" + "bytes": 44097, + "sha256": "bd9c966ef29b59da68ba2eb4401dfd91d18abf64596b3cdfe506a44e42f63ee9" }, { "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" + "sha256": "4a7bd01e852be18cc24370242474b35f72156ad34801406ed0a931fd73176f96" }, { "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" }, { diff --git a/docs/data/publication_audit.json b/docs/data/publication_audit.json index 268598d0f314c8039a97b22e2225e537faaa3b6e..74c97cbb2c29f1074e70b69577765e7bd5ff04c5 100644 --- a/docs/data/publication_audit.json +++ b/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": [ { "name": "required_publication_assets_present", @@ -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, - "file_count": 266, - "text_file_count": 196, + "file_count": 269, + "text_file_count": 198, "largest_file": { "path": "docs/data/single_episode_explorer.json", "bytes": 4305626 @@ -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": { "path": "results/omni_finetune/xperience10m_128ep_dense_multiscale_hierarchical_v1_20260608/dense_multiscale_windows.jsonl", "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, + "text_file_count": 1320, "largest_file": { "path": "results/omni_finetune/xperience10m_128ep_dense_multiscale_hierarchical_v1_20260608/dense_multiscale_windows.jsonl", "bytes": 135591061 diff --git a/docs/data/quality_gates.json b/docs/data/quality_gates.json index 03479efef31003f57e0bb985d0afb61cc97e1139..37d8861c353978cea091fd980029209549b257b4 100644 --- a/docs/data/quality_gates.json +++ b/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": [ { diff --git a/docs/data/scope_claims_audit.json b/docs/data/scope_claims_audit.json index 6cbd595c657bb7b94e329e00641fadb8018bf9c0..d7f3f80b63d93ada7e2b14f2d55ab93d5bd0342d 100644 --- a/docs/data/scope_claims_audit.json +++ b/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, diff --git a/docs/data/source_alignment_audit.json b/docs/data/source_alignment_audit.json index 14498ef5ca76481e82f11b5137416531e28673c3..cd413e004fdb4fdfe78ce482ed3310f0eb8ee489 100644 --- a/docs/data/source_alignment_audit.json +++ b/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", diff --git a/docs/data/task_method_20_gap_audit.json b/docs/data/task_method_20_gap_audit.json index 27622f28f4e72448e6c53644132bf820270779d1..4d7d8a671a6b3cecebec7a4d8a6b334038e89f8b 100644 --- a/docs/data/task_method_20_gap_audit.json +++ b/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": { - "not_evaluated_in_verified_package": 13, - "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", diff --git a/docs/data/task_method_20_result_matrix.json b/docs/data/task_method_20_result_matrix.json index 8d81e3065902f270e812caa0c74bc1bc5e03e2a9..c63caa5658316cef3db3850f3e1d0cbae1d0b88f 100644 --- a/docs/data/task_method_20_result_matrix.json +++ b/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, + "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": { - "not_evaluated_in_verified_package": 13, - "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 } ] } diff --git a/docs/data/unified_task_model_radar.json b/docs/data/unified_task_model_radar.json index 86fd2368e16a8a8b1d57f1edcc6d4b153322e34e..361809f921ea66a8209a26192ea39a196c30b8ac 100644 --- a/docs/data/unified_task_model_radar.json +++ b/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": { - "not_evaluated_in_verified_package": 13, - "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 } ] } diff --git a/results/omni_finetune/model_output_task_probes_20260616/RUN_REPORT.md b/results/omni_finetune/model_output_task_probes_20260616/RUN_REPORT.md index 6f9cc31b95409a810f86d3e960ddf73f09260e73..be7220b3c65e05b277b4d51fd2ecdc38037fb0df 100644 --- a/results/omni_finetune/model_output_task_probes_20260616/RUN_REPORT.md +++ b/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 | diff --git a/results/omni_finetune/model_output_task_probes_20260616/action_object_relation/cosmos3_super_reasoner/metrics.json b/results/omni_finetune/model_output_task_probes_20260616/action_object_relation/cosmos3_super_reasoner/metrics.json index 9c923186f798b852be075b2880baac8d66d07501..70f598c6c755eb2ca6b238db2791d0673f08e612 100644 --- a/results/omni_finetune/model_output_task_probes_20260616/action_object_relation/cosmos3_super_reasoner/metrics.json +++ b/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", diff --git a/results/omni_finetune/model_output_task_probes_20260616/action_object_relation/qwen3_omni_v6_lora/metrics.json b/results/omni_finetune/model_output_task_probes_20260616/action_object_relation/qwen3_omni_v6_lora/metrics.json index f174dc37fe0495d99bddd5cb325783f59fa57e32..05d54d6ed9d90534026a6a6e5e5253f79c9920a3 100644 --- a/results/omni_finetune/model_output_task_probes_20260616/action_object_relation/qwen3_omni_v6_lora/metrics.json +++ b/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", diff --git a/results/omni_finetune/model_output_task_probes_20260616/cosmos3_nano_future_window_source_window_map.jsonl b/results/omni_finetune/model_output_task_probes_20260616/cosmos3_nano_future_window_source_window_map.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d990c06a4aef67df29213e75914f12c763657e95 --- /dev/null +++ b/results/omni_finetune/model_output_task_probes_20260616/cosmos3_nano_future_window_source_window_map.jsonl @@ -0,0 +1,448 @@ +{"action": "Hold smartphone", "end_frame": 19, "episode_id": 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"episode_id": "b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3", "id": "b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:265", "num_frames": 20, "split": "test", "start_frame": 5300, "transition": "no"} diff --git a/results/omni_finetune/model_output_task_probes_20260616/long_horizon_next_action/cosmos3_nano_future_window/metrics.json b/results/omni_finetune/model_output_task_probes_20260616/long_horizon_next_action/cosmos3_nano_future_window/metrics.json index 610def651adaf8f523e3020312eebc92ba65ad45..b4e7422d06908d5298330a99ef77d97b6fe693a9 100644 --- a/results/omni_finetune/model_output_task_probes_20260616/long_horizon_next_action/cosmos3_nano_future_window/metrics.json +++ b/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": [ diff --git a/results/omni_finetune/model_output_task_probes_20260616/long_horizon_next_action/cosmos3_super_reasoner/metrics.json b/results/omni_finetune/model_output_task_probes_20260616/long_horizon_next_action/cosmos3_super_reasoner/metrics.json index cdfc40aeec8e7d878982c35acca81313418ce516..c83c33aafe091c1b37f1252111a2c5e0108ee17f 100644 --- a/results/omni_finetune/model_output_task_probes_20260616/long_horizon_next_action/cosmos3_super_reasoner/metrics.json +++ b/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", diff --git a/results/omni_finetune/model_output_task_probes_20260616/modality_reconstruction/cosmos3_nano_future_window/metrics.json b/results/omni_finetune/model_output_task_probes_20260616/modality_reconstruction/cosmos3_nano_future_window/metrics.json index c88f7ae7645d1d1875086f352defb55f8ea1582e..bba2de57fb50cf747c77cbe3ca70a0d672a08290 100644 --- a/results/omni_finetune/model_output_task_probes_20260616/modality_reconstruction/cosmos3_nano_future_window/metrics.json +++ b/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", diff --git a/results/omni_finetune/model_output_task_probes_20260616/summary.json b/results/omni_finetune/model_output_task_probes_20260616/summary.json index e1409f5f02ab75bcce3a5248aee1af36cf1bc790..39733ef4bb2e9e1a64e4d85d51b7c292bfcee7df 100644 --- a/results/omni_finetune/model_output_task_probes_20260616/summary.json +++ b/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", diff --git a/results/omni_finetune/model_output_task_probes_20260616/time_to_transition/cosmos3_nano_future_window/metrics.json b/results/omni_finetune/model_output_task_probes_20260616/time_to_transition/cosmos3_nano_future_window/metrics.json new file mode 100644 index 0000000000000000000000000000000000000000..fdc15ab98fec25d381e0bc663acb3495ef7e927a --- /dev/null +++ b/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 +} diff --git a/results/omni_finetune/model_output_task_probes_20260616/time_to_transition/cosmos3_nano_future_window/predictions.csv b/results/omni_finetune/model_output_task_probes_20260616/time_to_transition/cosmos3_nano_future_window/predictions.csv new file mode 100644 index 0000000000000000000000000000000000000000..6cf9abfec8d3bfeb8d35cfd03a88dccd08cccf6c --- /dev/null +++ b/results/omni_finetune/model_output_task_probes_20260616/time_to_transition/cosmos3_nano_future_window/predictions.csv @@ -0,0 +1,379 @@ +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 +1796b943-caad-43c6-b9bd-80b8d601f37d__ep1:future:00000:h5,test,1796b943-caad-43c6-b9bd-80b8d601f37d__ep1,1796b943-caad-43c6-b9bd-80b8d601f37d__ep1:qa:12,240,Approaching and pressing the door switch,Grasp cleaning bottle,160.0,200.0,40.0,247,False 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+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 +4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:future:00012:h5,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:100,2000,Scroll smartphone screen,Grasp cleaning bottle,200.0,200.0,0.0,353,False +4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:future:00013:h5,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:101,2020,Scroll smartphone screen,Grasp cleaning bottle,200.0,200.0,0.0,328,False +4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:future:00014:h5,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:102,2040,Scroll smartphone screen,Grasp cleaning bottle,200.0,200.0,0.0,336,False +4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:future:00015:h5,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:132,2640,Put down smartphone,Grasp cleaning bottle,200.0,200.0,0.0,377,False +4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:future:00016:h5,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:133,2660,Put down smartphone,Grasp cleaning bottle,200.0,200.0,0.0,369,False +4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:future:00017:h5,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:134,2680,Put down smartphone,Grasp cleaning bottle,200.0,200.0,0.0,343,False +4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:future:00018:h5,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:184,3680,Place smartphone down,Grasp cleaning bottle,200.0,40.0,160.0,359,False +4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:future:00019:h5,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:185,3700,Place smartphone down,Grasp cleaning bottle,200.0,20.0,180.0,342,False +4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:future:00020:h5,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:186,3720,Place smartphone down,Place hand on table,200.0,200.0,0.0,259,False +4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:future:00021:h5,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:200,4000,Hold smartphone,Sort small craft pieces,200.0,20.0,180.0,195,False +4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:future:00022:h5,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:201,4020,Hold smartphone,Grasp cleaning bottle,200.0,200.0,0.0,187,False +4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:future:00023:h5,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:202,4040,Hold smartphone,Grasp cleaning bottle,200.0,200.0,0.0,234,False +4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:future:00024:h5,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:220,4400,Manipulate paper strip,Grasp cleaning bottle,200.0,200.0,0.0,206,False +4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:future:00025:h5,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:221,4420,Manipulate paper strip,Grasp cleaning bottle,200.0,200.0,0.0,203,False +4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:future:00026:h5,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:222,4440,Manipulate paper strip,Grasp cleaning bottle,200.0,200.0,0.0,231,False +5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:future:00000:h5,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:10,200,Place piece into puzzle,Grasp cleaning bottle,200.0,200.0,0.0,11,False +5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:future:00001:h5,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:20,400,Manipulate puzzle piece,Grasp cleaning bottle,200.0,200.0,0.0,4,True +5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:future:00002:h5,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:21,420,Manipulate puzzle piece,Grasp cleaning bottle,200.0,200.0,0.0,2,True +5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:future:00003:h5,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:22,440,Manipulate puzzle piece,Grasp cleaning bottle,200.0,200.0,0.0,3,True +5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:future:00004:h5,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:50,1000,Manipulate puzzle pieces,Grasp cleaning bottle,200.0,200.0,0.0,22,False +5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:future:00005:h5,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:51,1020,Manipulate puzzle pieces,Grasp cleaning bottle,200.0,200.0,0.0,21,False +5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:future:00006:h5,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:52,1040,Manipulate puzzle pieces,Grasp cleaning bottle,200.0,200.0,0.0,29,False +5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:future:00007:h5,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:90,1800,Place puzzle piece,Grasp cleaning bottle,200.0,200.0,0.0,20,False +5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:future:00008:h5,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:91,1820,Place puzzle piece,Grasp cleaning bottle,180.0,200.0,20.0,27,False +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 +5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:future:00010:h5,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:100,2000,Observe puzzle progress,Grasp cleaning bottle,200.0,200.0,0.0,6,False +5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:future:00011:h5,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:101,2020,Observe puzzle progress,Grasp cleaning bottle,200.0,200.0,0.0,6,False +5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:future:00012:h5,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:102,2040,Observe puzzle progress,Grasp cleaning bottle,200.0,200.0,0.0,10,False +5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:future:00013:h5,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:120,2400,Search for puzzle piece,Grasp cleaning bottle,200.0,200.0,0.0,19,False +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 +5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:future:00020:h5,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:150,3000,Reach for puzzle piece,Grasp cleaning bottle,200.0,200.0,0.0,18,False +5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:future:00021:h5,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:151,3020,Reach for puzzle piece,Grasp cleaning bottle,180.0,200.0,20.0,12,False +5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:future:00022:h5,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:160,3200,Attempt to fit puzzle piece,Grasp cleaning bottle,200.0,200.0,0.0,17,False +5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:future:00023:h5,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:161,3220,Attempt to fit puzzle piece,Grasp cleaning bottle,200.0,200.0,0.0,13,False +5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:future:00024:h5,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:162,3240,Attempt to fit puzzle piece,Grasp cleaning bottle,200.0,200.0,0.0,8,False +5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:future:00025:h5,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:190,3800,Sort puzzle pieces,Grasp cleaning bottle,200.0,200.0,0.0,16,False +5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:future:00026:h5,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:191,3820,Sort puzzle pieces,Grasp cleaning bottle,200.0,200.0,0.0,28,False +877779cd-25f3-4293-a3c4-39067dd9558c__ep4:future:00000:h5,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:22,440,Arrange buttons,Grasp cleaning bottle,200.0,200.0,0.0,108,False +877779cd-25f3-4293-a3c4-39067dd9558c__ep4:future:00001:h5,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:23,460,Arrange buttons,Grasp cleaning bottle,200.0,200.0,0.0,362,False +877779cd-25f3-4293-a3c4-39067dd9558c__ep4:future:00002:h5,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:50,1000,Arrange buttons in a line,Grasp cleaning bottle,200.0,200.0,0.0,235,False +877779cd-25f3-4293-a3c4-39067dd9558c__ep4:future:00003:h5,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:51,1020,Arrange buttons in a line,Grasp cleaning bottle,200.0,200.0,0.0,260,False +877779cd-25f3-4293-a3c4-39067dd9558c__ep4:future:00004:h5,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:52,1040,Arrange buttons in a line,Grasp cleaning bottle,200.0,200.0,0.0,227,False +877779cd-25f3-4293-a3c4-39067dd9558c__ep4:future:00005:h5,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:53,1060,Arrange buttons in a line,Grasp cleaning bottle,200.0,200.0,0.0,195,False +877779cd-25f3-4293-a3c4-39067dd9558c__ep4:future:00006:h5,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:70,1400,Sort and arrange buttons,Grasp cleaning bottle,200.0,200.0,0.0,288,False +877779cd-25f3-4293-a3c4-39067dd9558c__ep4:future:00007:h5,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:71,1420,Sort and arrange buttons,Grasp cleaning bottle,200.0,200.0,0.0,218,False +877779cd-25f3-4293-a3c4-39067dd9558c__ep4:future:00008:h5,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:72,1440,Sort and arrange buttons,Grasp cleaning bottle,200.0,200.0,0.0,229,False +877779cd-25f3-4293-a3c4-39067dd9558c__ep4:future:00009:h5,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:100,2000,Pick up button,Grasp cleaning bottle,160.0,200.0,40.0,2,True +877779cd-25f3-4293-a3c4-39067dd9558c__ep4:future:00010:h5,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:101,2020,Pick up button,Grasp cleaning bottle,140.0,200.0,60.0,183,False +877779cd-25f3-4293-a3c4-39067dd9558c__ep4:future:00011:h5,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:102,2040,Pick up button,Grasp cleaning bottle,120.0,200.0,80.0,128,False +877779cd-25f3-4293-a3c4-39067dd9558c__ep4:future:00012:h5,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:108,2160,Place button,Grasp cleaning bottle,200.0,200.0,0.0,214,False +877779cd-25f3-4293-a3c4-39067dd9558c__ep4:future:00013:h5,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:109,2180,Place button,Grasp cleaning bottle,200.0,200.0,0.0,161,False +877779cd-25f3-4293-a3c4-39067dd9558c__ep4:future:00014:h5,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:110,2200,Place button,Grasp cleaning bottle,200.0,200.0,0.0,279,False +877779cd-25f3-4293-a3c4-39067dd9558c__ep4:future:00015:h5,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:120,2400,Sort button,Grasp cleaning bottle,200.0,200.0,0.0,268,False +877779cd-25f3-4293-a3c4-39067dd9558c__ep4:future:00016:h5,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:121,2420,Sort button,Grasp cleaning bottle,200.0,200.0,0.0,300,False +877779cd-25f3-4293-a3c4-39067dd9558c__ep4:future:00017:h5,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:122,2440,Sort button,Grasp cleaning bottle,200.0,200.0,0.0,238,False +877779cd-25f3-4293-a3c4-39067dd9558c__ep4:future:00018:h5,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:150,3000,Sort and adjust button line,Grasp cleaning bottle,200.0,200.0,0.0,68,False +877779cd-25f3-4293-a3c4-39067dd9558c__ep4:future:00019:h5,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:151,3020,Sort and adjust button line,Grasp cleaning bottle,200.0,200.0,0.0,105,False +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 +9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:future:00026:h5,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:295,5900,Resume observation,Grasp cleaning bottle,200.0,200.0,0.0,137,False +a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:future:00000:h5,test,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:qa:5,100,Move phone,Grasp cleaning bottle,140.0,200.0,60.0,125,False +a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:future:00001:h5,test,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:qa:6,120,Move phone,Grasp cleaning bottle,120.0,200.0,80.0,129,False +a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:future:00002:h5,test,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:qa:12,240,Pick up utility knife,Grasp cleaning bottle,120.0,200.0,80.0,30,False +a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:future:00003:h5,test,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:qa:13,260,Pick up utility knife,Grasp cleaning bottle,100.0,200.0,100.0,9,False +a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:future:00004:h5,test,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:qa:14,280,Pick up utility knife,Grasp cleaning bottle,80.0,200.0,120.0,147,False +a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:future:00005:h5,test,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:qa:15,300,Pick up utility knife,Grasp cleaning bottle,60.0,200.0,140.0,192,False +a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:future:00006:h5,test,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:qa:16,320,Pick up utility knife,Grasp cleaning bottle,40.0,200.0,160.0,239,False +a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:future:00007:h5,test,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:qa:17,340,Pick up utility knife,Grasp cleaning bottle,20.0,200.0,180.0,127,False +a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:future:00008:h5,test,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:qa:18,360,Start cutting,Grasp cleaning bottle,40.0,200.0,160.0,128,False +a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:future:00009:h5,test,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:qa:19,380,Start cutting,Grasp cleaning bottle,20.0,200.0,180.0,114,False +a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:future:00010:h5,test,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:qa:20,400,Cut cardboard,Grasp cleaning bottle,200.0,200.0,0.0,219,False +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 +a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:future:00012:h5,test,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:qa:22,440,Cut cardboard,Grasp cleaning bottle,200.0,200.0,0.0,185,False +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 +a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:future:00016:h5,test,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:qa:26,520,Cut cardboard,Grasp cleaning bottle,200.0,200.0,0.0,209,False +a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:future:00017:h5,test,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:qa:250,5000,Cut along the marked line,Grasp cleaning bottle,200.0,200.0,0.0,43,False +a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:future:00018:h5,test,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:qa:251,5020,Cut along the marked line,Grasp cleaning bottle,200.0,200.0,0.0,39,False +a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:future:00019:h5,test,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:qa:252,5040,Cut along the marked line,Grasp cleaning bottle,200.0,200.0,0.0,35,False +a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:future:00020:h5,test,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:qa:253,5060,Cut along the marked line,Grasp cleaning bottle,200.0,200.0,0.0,45,False +a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:future:00021:h5,test,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:qa:254,5080,Cut along the marked line,Grasp cleaning bottle,200.0,200.0,0.0,51,False +a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:future:00022:h5,test,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:qa:255,5100,Cut along the marked line,Grasp cleaning bottle,200.0,200.0,0.0,41,False +a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:future:00023:h5,test,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:qa:256,5120,Cut along the marked line,Grasp cleaning bottle,200.0,200.0,0.0,18,False +a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:future:00024:h5,test,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:qa:294,5880,Reposition hand,Grasp cleaning bottle,200.0,200.0,0.0,171,False +a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:future:00025:h5,test,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:qa:295,5900,Reposition hand,Grasp cleaning bottle,200.0,200.0,0.0,161,False +a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:future:00026:h5,test,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:qa:296,5920,Reposition hand,Grasp cleaning bottle,200.0,200.0,0.0,165,False +b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:future:00000:h5,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:100,2000,Counting and organizing beads,Grasp cleaning bottle,200.0,200.0,0.0,296,False +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 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+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 diff --git a/results/omni_finetune/model_output_task_probes_20260616/time_to_transition/cosmos3_super_reasoner/metrics.json b/results/omni_finetune/model_output_task_probes_20260616/time_to_transition/cosmos3_super_reasoner/metrics.json index 8d1f747796704057bc69e7fa23efbecb1e07a6e6..4cdb45b2f54781f7c31a4a19a681ee9f2b8b2b97 100644 --- a/results/omni_finetune/model_output_task_probes_20260616/time_to_transition/cosmos3_super_reasoner/metrics.json +++ b/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", diff --git a/scripts/omni/score_existing_model_output_task_probes.py b/scripts/omni/score_existing_model_output_task_probes.py index 6b99c9bbee8d2b27eaf4118f6c3aa69c6aff234f..e2e9221595ad02d5d4545f35f8eb15d070ac7093 100644 --- a/scripts/omni/score_existing_model_output_task_probes.py +++ b/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_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,