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PROJECT_README.md

@@ -635,7 +635,7 @@ public-sample axes. The 128-episode radar isolates metadata/raw baselines and
 Qwen3/Cosmos branches: raw-feature simple/NN baselines are the current complete
 20/20 scored multi-episode results, while metadata and foundation-model rows
 retain explicit scoreless records where no public target was evaluated. The
-current matrix has 144 numeric method-task scores out of 180 records.
+current matrix has 147 numeric method-task scores out of 180 records.
 
 The website also includes a responsive native modality atlas backed by
 [`docs/data/modality_atlas.json`](docs/data/modality_atlas.json) and
@@ -672,7 +672,7 @@ scripts/
   tier2_task_suite.py              # historical-name builder for tasks 13-20
   build_unified_task_suite.py       # builds TASK_SUITE_20.md and task_suite_20.json
   build_unified_task_model_radar.py # builds the unified 20-axis model comparison chart
-  build_task_method_20_gap_audit.py # builds the explicit 145/180 scored-cell gap ledger
+  build_task_method_20_gap_audit.py # builds the explicit 147/180 scored-cell gap ledger
   task_walkthroughs.py              # human-readable task-card and walkthrough-storyboard metadata
   generate_visualizations.py        # refreshes SVG charts + summary JSON
   render_task_suite_infographic.py  # renders the task-suite presentation PNG
@@ -718,7 +718,7 @@ docs/
   data/single_episode_task_model_radar.json # 1-episode split radar values
   data/episode128_task_model_radar.json # 128-episode split radar values
   data/task_method_20_result_matrix.json # 9-method x 20-task result matrix
-  data/task_method_20_gap_audit.json # explicit 145/180 scored-cell gap ledger
+  data/task_method_20_gap_audit.json # explicit 147/180 scored-cell gap ledger
   data/evidence_contract.json       # machine-readable project scope
   data/artifact_index.json          # compact project-artifact catalog
   data/live_publication_status.json # live GitHub/HF publication verification

TASK_METHOD_20_GAP_AUDIT.md

@@ -1,6 +1,6 @@
 # Task Method 20-Result Gap Audit
 
-Generated: `2026-06-18T16:37:05+00:00`
+Generated: `2026-06-18T18:18:12+00:00`
 
 This audit is the explicit gap ledger for the 9-method x 20-task result matrix.
 It keeps missing cells visible while preserving the rule that a numeric score
@@ -9,8 +9,8 @@ requires a real task target and source artifact.
 ## Score Summary
 
 - Method-task records: `180`
-- Numeric scored records: `146`
-- Scoreless records: `34`
+- Numeric scored records: `147`
+- Scoreless records: `33`
 - Proxy-scored records: `4`
 - Source matrix: [`docs/data/task_method_20_result_matrix.json`](docs/data/task_method_20_result_matrix.json)
 
@@ -25,14 +25,14 @@ requires a real task target and source artifact.
 | 128ep Raw Simple | raw128_simple | 20/20 | 0 | 2 | proxy_scored: 2, scored: 18 |
 | 128ep Raw NN | raw128_neural_mlp | 20/20 | 0 | 2 | proxy_scored: 2, scored: 18 |
 | Qwen3-Omni v6 LoRA | qwen3_omni_v6_lora | 15/20 | 5 | 0 | not_evaluated_in_verified_package: 5, scored: 15 |
-| Cosmos3-Super Reasoner | cosmos3_super_reasoner | 8/20 | 12 | 0 | not_evaluated_in_verified_package: 12, scored: 8 |
+| Cosmos3-Super Reasoner | cosmos3_super_reasoner | 9/20 | 11 | 0 | not_evaluated_in_verified_package: 11, scored: 9 |
 | Cosmos3-Nano Future Window | cosmos3_nano_future_window | 7/20 | 13 | 0 | not_evaluated_in_verified_package: 13, scored: 7 |
 
 ## Gap Classes
 
 | Status | Count | Next step |
 | --- | --- | --- |
-| not_evaluated_in_verified_package | 30 | Generate verified model outputs for this task contract and score them against the held-out labels. |
+| not_evaluated_in_verified_package | 29 | Generate verified model outputs for this task contract and score them against the held-out labels. |
 | not_supported_by_metadata_only_package | 2 | Run the task with raw sensor-feature blocks or add a task-specific metadata target builder before assigning a numeric score. |
 | unsupported_without_required_target | 2 | Export the missing target field for this 128-episode method, then rerun the same train/validation/test split. |
 
@@ -54,7 +54,6 @@ requires a real task target and source artifact.
 | 11 | Temporal Order Verification | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
 | 12 | Multimodal Synchronization Detection | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
 | 12 | Multimodal Synchronization Detection | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
-| 13 | Long-Horizon Next-Action Forecasting | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
 | 14 | Long-Horizon Next-Subtask Forecasting | Cosmos3-Super Reasoner | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
 | 14 | Long-Horizon Next-Subtask Forecasting | Cosmos3-Nano Future Window | not evaluated | Generate verified model outputs for this task contract and score them against the held-out labels. |
 | 15 | Interaction Text Prediction | 128ep Aligned Simple | unsupported | Export the missing target field for this 128-episode method, then rerun the same train/validation/test split. |

TASK_METHOD_20_RESULT_MATRIX.md

@@ -13,7 +13,7 @@ Legend: `score` = numeric task score, `proxy` = documented raw128 compact proxy
 | 128ep Raw Simple | 20 | 20 | 2 | 0 | proxy scored 2, scored 18 |
 | 128ep Raw NN | 20 | 20 | 2 | 0 | proxy scored 2, scored 18 |
 | Qwen3-Omni v6 LoRA | 20 | 15 | 0 | 5 | not evaluated 5, scored 15 |
-| Cosmos3-Super Reasoner | 20 | 8 | 0 | 12 | not evaluated 12, scored 8 |
+| Cosmos3-Super Reasoner | 20 | 9 | 0 | 11 | not evaluated 11, scored 9 |
 | Cosmos3-Nano Future Window | 20 | 7 | 0 | 13 | not evaluated 13, scored 7 |
 
 | # | Task | Min | NN | 128-S | 128-NN | 128-RS | 128-RN | Qwen3 | C3-S | C3-N |
@@ -30,7 +30,7 @@ Legend: `score` = numeric task score, `proxy` = documented raw128 compact proxy
 | 10 | Cross-Modal Reconstruction | score | score | score | score | score | score | not evaluated | not evaluated | score |
 | 11 | Temporal Order Verification | score | score | score | score | score | score | score | not evaluated | not evaluated |
 | 12 | Multimodal Synchronization Detection | score | score | score | score | score | score | score | not evaluated | not evaluated |
-| 13 | Long-Horizon Next-Action Forecasting | score | score | score | score | score | score | score | not evaluated | score |
+| 13 | Long-Horizon Next-Action Forecasting | score | score | score | score | score | score | score | score | score |
 | 14 | Long-Horizon Next-Subtask Forecasting | score | score | score | score | score | score | score | not evaluated | not evaluated |
 | 15 | Interaction Text Prediction | score | score | unsupported | not supported | proxy | proxy | not evaluated | not evaluated | not evaluated |
 | 16 | Action-Object Relation Prediction | score | score | score | score | score | score | score | score | not evaluated |

data/publication_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-18T17:41:58+00:00",
+  "generated_at_utc": "2026-06-18T18:24:20+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",
@@ -216,8 +216,8 @@
     "github_repo": {
       "root": "repo",
       "exists": true,
-      "file_count": 1359,
-      "text_file_count": 1135,
+      "file_count": 1362,
+      "text_file_count": 1138,
       "largest_file": {
         "path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
         "bytes": 55702978
@@ -227,7 +227,7 @@
     "hf_space_bundle": {
       "root": "hf_publish/space",
       "exists": true,
-      "file_count": 247,
+      "file_count": 249,
       "text_file_count": 179,
       "largest_file": {
         "path": "docs/data/single_episode_explorer.json",
@@ -238,8 +238,8 @@
     "hf_artifact_bundle": {
       "root": "hf_publish/artifacts",
       "exists": true,
-      "file_count": 3975,
-      "text_file_count": 1147,
+      "file_count": 3984,
+      "text_file_count": 1150,
       "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": 4719,
-      "text_file_count": 1315,
+      "file_count": 4728,
+      "text_file_count": 1318,
       "largest_file": {
         "path": "results/omni_finetune/xperience10m_128ep_dense_multiscale_hierarchical_v1_20260608/dense_multiscale_windows.jsonl",
         "bytes": 135591061

data/scope_claims_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-18T13:18:25+00:00",
+  "generated_at_utc": "2026-06-18T18:19:48+00:00",
   "summary": {
     "qwen3_omni_verified_diagnostic_pilot": true,
     "dataset_manifest_num_episodes": 119,

data/unified_task_model_radar.json

@@ -1,11 +1,11 @@
 {
   "title": "Unified 20-Task Model Radar",
   "status": "pass",
-  "generated_at_utc": "2026-06-18T16:36:15+00:00",
+  "generated_at_utc": "2026-06-18T18:18:12+00:00",
   "task_count": 20,
   "method_count": 9,
   "method_task_record_count": 180,
-  "scored_method_task_count": 146,
+  "scored_method_task_count": 147,
   "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",
@@ -193,17 +193,17 @@
       "method_detail": "Verified Cosmos3-Super base-weight Reasoner JSON-task evaluation, plus task 16 and a derived task-20 action-boundary timing probe scored from existing verified JSON.",
       "plotted_as": "colored point overlay",
       "result_record_count": 20,
-      "scored_task_count": 8,
-      "covered_task_count": 8,
+      "scored_task_count": 9,
+      "covered_task_count": 9,
       "proxy_scored_task_count": 0,
-      "scoreless_task_count": 12,
+      "scoreless_task_count": 11,
       "unsupported_task_count": 0,
-      "not_evaluated_task_count": 12,
+      "not_evaluated_task_count": 11,
       "status_counts": {
-        "not_evaluated_in_verified_package": 12,
-        "scored": 8
+        "not_evaluated_in_verified_package": 11,
+        "scored": 9
       },
-      "coverage_fraction": 0.4,
+      "coverage_fraction": 0.45,
       "result_record_fraction": 1.0
     },
     {
@@ -1596,6 +1596,17 @@
           "raw_text": "0.0655",
           "status_label": "scored"
         },
+        "cosmos3_super_reasoner": {
+          "raw": 0.008807588075880758,
+          "metric_key": "long_horizon_next_action_macro_f1",
+          "source": "results/omni_finetune/model_output_task_probes_20260616/long_horizon_next_action/cosmos3_super_reasoner/metrics.json",
+          "scope": "multi_episode_128_partial_model_overlay",
+          "status": "scored",
+          "reason": null,
+          "normalized_score": 0.008807588075880758,
+          "raw_text": "0.0088",
+          "status_label": "scored"
+        },
         "cosmos3_nano_future_window": {
           "raw": 0.0024906600249066007,
           "metric_key": "long_horizon_next_action_macro_f1",
@@ -1661,17 +1672,6 @@
           "normalized_score": 0.001063859887389299,
           "raw_text": "0.0011",
           "status_label": "scored"
-        },
-        "cosmos3_super_reasoner": {
-          "raw": null,
-          "metric_key": "macro_f1",
-          "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"
         }
       }
     },
@@ -2499,7 +2499,7 @@
       "id": "cosmos3_super_reasoner",
       "title": "Cosmos3-Super Reasoner",
       "status": "verified_base_weight_eval",
-      "coverage": "20 records / 8 scored task-aligned axes",
+      "coverage": "20 records / 9 scored task-aligned axes",
       "headline": "JSON validity 0.5112; action macro-F1 0.0008",
       "source": "results/omni_finetune/verified_public/xperience10m_cosmos3_super_reasoner_128ep_test_full_20260607/eval/metrics.json"
     },
@@ -4597,17 +4597,17 @@
       "task_label": "Long-Horizon Next-Action Forecasting",
       "series_id": "cosmos3_super_reasoner",
       "method": "Cosmos3-Super Reasoner",
-      "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": "macro_f1",
-      "source": null,
+      "raw": 0.008807588075880758,
+      "raw_text": "0.0088",
+      "normalized_score": 0.008807588075880758,
+      "metric_key": "long_horizon_next_action_macro_f1",
+      "source": "results/omni_finetune/model_output_task_probes_20260616/long_horizon_next_action/cosmos3_super_reasoner/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
     },
     {
       "task_number": 13,

docs/data/artifact_index.json

@@ -1,6 +1,6 @@
 {
   "title": "Ropedia Xperience-10M Task Suite Artifact Index",
-  "generated_at_utc": "2026-06-18T17:41:14+00:00",
+  "generated_at_utc": "2026-06-18T18:18:15+00:00",
   "status": "pass",
   "artifact_count": 214,
   "missing": [],
@@ -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": 229357,
-      "sha256": "703d75415c276991fbe6f2102611b39acd1d3e9bddc78b5aed37eefd3fc8411a"
+      "bytes": 229333,
+      "sha256": "af0f0787616cac6cc345a143b1ca6af927f39bc0be1b4dc56959e54de81d1a0c"
     },
     {
       "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": "6f662fa3d16350b87427f7f2e64cc4ee65bd4206058735cedf51faa858edc11d"
+      "sha256": "9495f2c4ccfb5fe03f33ba0671f6ea577cb6dc141096e49c091209f5eb2ada2d"
     },
     {
       "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": 185505,
-      "sha256": "b89ff34e1729de6d9bc17ea5371195d6af299ae0d9404644e41c7df3a384b43b"
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     },
     {
       "id": "task_method_20_result_matrix_json",
@@ -763,8 +763,8 @@
       "surface": "website_hf",
       "shows": "Machine-readable 9-method by 20-task matrix where every method has 20 records and scoreless cells carry unsupported/not-evaluated reasons.",
       "exists": true,
-      "bytes": 128891,
-      "sha256": "8b568ed989149927d576fd97123e6bcc8d21630b8022d20dc38bb099484026fb"
+      "bytes": 128879,
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     },
     {
       "id": "task_method_20_result_matrix",
@@ -774,8 +774,8 @@
       "surface": "repo_hf",
       "shows": "Reader-facing table that separates 20 records per method from numeric scored axes, documented raw128 proxy scores, unsupported metadata targets, and model targets not evaluated in verified packages.",
       "exists": true,
-      "bytes": 3930,
-      "sha256": "573169ab3a00dda6b0fc92194239ffab1f2bc38d511b4a42b084aec9dedba428"
+      "bytes": 3922,
+      "sha256": "13afff29d923a8308469c822bf5e08beb2c933da7d70bb9879201079ce8e9920"
     },
     {
       "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": 33639,
-      "sha256": "20ca0ff0166835fdbfd590b93df2d9430a1c2382c4f0b6660793c6ec7db406e6"
+      "bytes": 32834,
+      "sha256": "e021201c00afbc2427d8e538288aade576d74e09f4dc04765081f78352413c80"
     },
     {
       "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": 9726,
-      "sha256": "37a8802cd65ea9f0a74eab02b3722939b830105000594c47c53fb7fdce84cdaa"
+      "bytes": 9538,
+      "sha256": "0bd37a47ef1de63618a429a3288a99df22b6d071cbdb13bc77599295468cf221"
     },
     {
       "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": 54165,
-      "sha256": "09f9b30049b820c18427395beafa5875c1956431e83a1c80d014ea88db0b8834"
+      "bytes": 54276,
+      "sha256": "66b3f285ecb9a3bf7d1125495fc3b6d4400edacb59700e06e9b504c9767d434e"
     },
     {
       "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": 48152,
-      "sha256": "d8e16bbb31c34a3d8333f673cb160da803a18613317cd6efcc018c73e011cc00"
+      "bytes": 48263,
+      "sha256": "9538bfb512f16bbd280151923adf8a23377bfaed2a8be5961a25eaf0a11d1404"
     },
     {
       "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": 54657,
-      "sha256": "3c001013da9c913b5d215dd9b14913008509f212e6941f64ff74941b06e4c27c"
+      "bytes": 55045,
+      "sha256": "69924d315bf1fb39f382b6771a0bcea140582d480b64c65e694921807fa40f90"
     },
     {
       "id": "task_method_20_gap_audit_builder",
@@ -873,8 +873,8 @@
       "surface": "repo_hf",
       "shows": "Checks whether Qwen3/Cosmos branches have train, validation, and test prediction files before extending model overlays to all 20 task contracts.",
       "exists": true,
-      "bytes": 5565,
-      "sha256": "62bde6c548c5c2dd70b41cd2c3967a92dc3bd1c93a12d2092643e220c7e4bdbd"
+      "bytes": 5144,
+      "sha256": "86835a291c659d335ab5b51d09ea3f36710c14d23466a72d9c2a23137dc9ae8a"
     },
     {
       "id": "model_output_probe_script",
@@ -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": 3752,
-      "sha256": "48669b0ab824934150c24e9e45ce69d1850dbcf39c9d961ae6855867628f6568"
+      "bytes": 4120,
+      "sha256": "aafa4b93dca228b77cdb18f45fd50ae24ea6092d77a3d5524b4e66e8396662dc"
     },
     {
       "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": 31626,
-      "sha256": "89387aec6ac54faf8dac20b67067b5627b4350127aa7bfd465c583cae75ad84d"
+      "bytes": 36845,
+      "sha256": "23546a22959180f24313702f341d439799f1e8e21c30776d22142f3fa29eb02e"
     },
     {
       "id": "a100_128_metadata_task_baselines",
@@ -1039,7 +1039,7 @@
       "shows": "Machine-readable visual asset index for website and Hugging Face mirrors.",
       "exists": true,
       "bytes": 19441,
-      "sha256": "1c76dabbea235a44bc5570cb3d1533208583fc2160d97d4c99ed35077ecb38a5"
+      "sha256": "b14b9cb1561db131827a8898fc42629c772eb173108d1fcbf1fbf931389da285"
     },
     {
       "id": "figure_index_builder",
@@ -1297,7 +1297,7 @@
       "volatile": true,
       "shows": "Confirms public bundles exclude raw data, caches, heavy archives, and credential text.",
       "exists": true,
-      "bytes": 9520,
+      "bytes": 9613,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -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": 923177,
+      "bytes": 924768,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -1333,7 +1333,7 @@
       "volatile": true,
       "shows": "Confirms local website links, anchors, JSON data files, and referenced images resolve.",
       "exists": true,
-      "bytes": 20020,
+      "bytes": 20021,
       "hash_policy": "existence_and_size_only"
     },
     {

docs/data/episode128_task_model_radar.json

@@ -1,12 +1,12 @@
 {
   "title": "128-Episode 20-Task Radar",
   "status": "pass",
-  "generated_at_utc": "2026-06-18T16:36:15+00:00",
+  "generated_at_utc": "2026-06-18T18:18:12+00:00",
   "description": "Selected 128-episode metadata/raw baselines plus verified Qwen3/Cosmos branches. Every method has 20 records; numeric scores appear only where the public artifact produced that task target.",
   "task_count": 20,
   "method_count": 7,
   "method_task_record_count": 140,
-  "scored_method_task_count": 106,
+  "scored_method_task_count": 107,
   "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",
@@ -150,17 +150,17 @@
       "method_detail": "Verified Cosmos3-Super base-weight Reasoner JSON-task evaluation, plus task 16 and a derived task-20 action-boundary timing probe scored from existing verified JSON.",
       "plotted_as": "colored point overlay",
       "result_record_count": 20,
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@@ -1349,15 +1349,15 @@
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+          "raw": 0.008807588075880758,
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           "scope": "multi_episode_128_partial_model_overlay",
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-          "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"
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         "cosmos3_nano_future_window": {
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@@ -3619,17 +3619,17 @@
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-      "status": "not_evaluated_in_verified_package",
-      "status_label": "not evaluated",
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-      "raw_text": "n/a",
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-      "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"
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docs/data/figure_index.json

@@ -1,7 +1,7 @@
 {
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-  "generated_at_utc": "2026-06-18T17:41:14+00:00",
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@@ -410,8 +410,8 @@
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@@ -446,8 +446,8 @@
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@@ -1,16 +1,23 @@
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@@ -139,44 +146,44 @@
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@@ -918,52 +925,95 @@
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 }

docs/data/public_surface_qa.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Public Project Surface",
   "status": "pass",
-  "generated_at_utc": "2026-06-18T17:41:13+00:00",
+  "generated_at_utc": "2026-06-18T18:23:20+00:00",
   "scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
   "checks": [
     {
@@ -18,7 +18,7 @@
         "website_integrity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-18T17:19:13+00:00"
+          "generated_at_utc": "2026-06-18T18:19:47+00:00"
         },
         "rendered_site_check": {
           "exists": true,
@@ -28,27 +28,27 @@
         "task_surface_integrity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-18T16:38:43+00:00"
+          "generated_at_utc": "2026-06-18T18:19:45+00:00"
         },
         "source_alignment": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-18T16:38:43+00:00"
+          "generated_at_utc": "2026-06-18T18:19:45+00:00"
         },
         "scale_up_status": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-18T13:18:25+00:00"
+          "generated_at_utc": "2026-06-18T18:19:48+00:00"
         },
         "publication_package": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-18T17:20:16+00:00"
+          "generated_at_utc": "2026-06-18T18:23:02+00:00"
         },
         "mirror_parity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-18T17:20:14+00:00"
+          "generated_at_utc": "2026-06-18T18:22:58+00:00"
         }
       },
       "failures": {}

docs/data/publication_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-18T17:41:58+00:00",
+  "generated_at_utc": "2026-06-18T18:24:20+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",
@@ -216,8 +216,8 @@
     "github_repo": {
       "root": "repo",
       "exists": true,
-      "file_count": 1359,
-      "text_file_count": 1135,
+      "file_count": 1362,
+      "text_file_count": 1138,
       "largest_file": {
         "path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
         "bytes": 55702978
@@ -227,7 +227,7 @@
     "hf_space_bundle": {
       "root": "hf_publish/space",
       "exists": true,
-      "file_count": 247,
+      "file_count": 249,
       "text_file_count": 179,
       "largest_file": {
         "path": "docs/data/single_episode_explorer.json",
@@ -238,8 +238,8 @@
     "hf_artifact_bundle": {
       "root": "hf_publish/artifacts",
       "exists": true,
-      "file_count": 3975,
-      "text_file_count": 1147,
+      "file_count": 3984,
+      "text_file_count": 1150,
       "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": 4719,
-      "text_file_count": 1315,
+      "file_count": 4728,
+      "text_file_count": 1318,
       "largest_file": {
         "path": "results/omni_finetune/xperience10m_128ep_dense_multiscale_hierarchical_v1_20260608/dense_multiscale_windows.jsonl",
         "bytes": 135591061

docs/data/quality_gates.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Release Checks",
   "status": "pass",
-  "generated_at_utc": "2026-06-18T16:39:28+00:00",
+  "generated_at_utc": "2026-06-18T18:20:07+00:00",
   "rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
   "automated_gates": [
     {

docs/data/scope_claims_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-18T13:18:25+00:00",
+  "generated_at_utc": "2026-06-18T18:19:48+00:00",
   "summary": {
     "qwen3_omni_verified_diagnostic_pilot": true,
     "dataset_manifest_num_episodes": 119,

docs/data/single_episode_task_model_radar.json

@@ -1,7 +1,7 @@
 {
   "title": "Single-Episode 20-Task Radar",
   "status": "pass",
-  "generated_at_utc": "2026-06-18T16:36:15+00:00",
+  "generated_at_utc": "2026-06-18T18:18:12+00:00",
   "description": "Minimal and Neural MLP baselines on the one public sample episode, both scored on all 20 task contracts.",
   "task_count": 20,
   "method_count": 2,

docs/data/source_alignment_audit.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Source Alignment Note",
   "status": "pass",
-  "generated_at_utc": "2026-06-18T16:38:43+00:00",
+  "generated_at_utc": "2026-06-18T18:19:45+00:00",
   "alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
   "alignment_summary": {
     "full_dataset_repo": "ropedia-ai/xperience-10m",

docs/data/task_method_20_gap_audit.json

@@ -1,10 +1,10 @@
 {
-  "generated_at_utc": "2026-06-18T16:37:05+00:00",
+  "generated_at_utc": "2026-06-18T18:18:12+00:00",
   "immediate_actions": [
     {
       "artifact": "docs/data/task_method_20_gap_audit.json",
       "id": "gap_audit",
-      "purpose": "Keep the 34 scoreless cells visible and reproducible."
+      "purpose": "Keep the 33 scoreless cells visible and reproducible."
     },
     {
       "artifact": "scripts/omni/score_model_output_probes.py",
@@ -37,11 +37,11 @@
       "proxy_scored_task_count": 0,
       "result_record_count": 20,
       "scope": "128 selected episodes, held-out test",
-      "scored_task_count": 8,
-      "scoreless_task_count": 12,
+      "scored_task_count": 9,
+      "scoreless_task_count": 11,
       "status_counts": {
-        "not_evaluated_in_verified_package": 12,
-        "scored": 8
+        "not_evaluated_in_verified_package": 11,
+        "scored": 9
       }
     },
     "metadata128_neural_mlp": {
@@ -136,13 +136,13 @@
   },
   "missing_by_method": {
     "cosmos3_nano_future_window": 13,
-    "cosmos3_super_reasoner": 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": 30,
+    "not_evaluated_in_verified_package": 29,
     "not_supported_by_metadata_only_package": 2,
     "unsupported_without_required_target": 2
   },
@@ -177,9 +177,6 @@
       "cosmos3_nano_future_window",
       "cosmos3_super_reasoner"
     ],
-    "13 Long-Horizon Next-Action Forecasting": [
-      "cosmos3_super_reasoner"
-    ],
     "14 Long-Horizon Next-Subtask Forecasting": [
       "cosmos3_nano_future_window",
       "cosmos3_super_reasoner"
@@ -397,19 +394,6 @@
       "task_label": "Multimodal Synchronization Detection",
       "task_number": 12
     },
-    {
-      "method": "Cosmos3-Super Reasoner",
-      "metric_key": "macro_f1",
-      "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_super_reasoner",
-      "status": "not_evaluated_in_verified_package",
-      "status_label": "not evaluated",
-      "task_id": "long_horizon_next_action",
-      "task_label": "Long-Horizon Next-Action Forecasting",
-      "task_number": 13
-    },
     {
       "method": "Cosmos3-Super Reasoner",
       "metric_key": "macro_f1",
@@ -704,8 +688,8 @@
     "method_count": 9,
     "method_task_record_count": 180,
     "proxy_scored_method_task_count": 4,
-    "scored_method_task_count": 146,
-    "scoreless_method_task_count": 34,
+    "scored_method_task_count": 147,
+    "scoreless_method_task_count": 33,
     "task_count": 20
   },
   "source_matrix": "docs/data/task_method_20_result_matrix.json",

docs/data/task_method_20_result_matrix.json

@@ -1,11 +1,11 @@
 {
   "title": "Task Method 20-Result Matrix",
   "status": "pass",
-  "generated_at_utc": "2026-06-18T16:36:15+00:00",
+  "generated_at_utc": "2026-06-18T18:18:12+00:00",
   "task_count": 20,
   "method_count": 9,
   "method_task_record_count": 180,
-  "scored_method_task_count": 146,
+  "scored_method_task_count": 147,
   "series": [
     {
       "id": "minimal",
@@ -184,17 +184,17 @@
       "method_detail": "Verified Cosmos3-Super base-weight Reasoner JSON-task evaluation, plus task 16 and a derived task-20 action-boundary timing probe scored from existing verified JSON.",
       "plotted_as": "colored point overlay",
       "result_record_count": 20,
-      "scored_task_count": 8,
-      "covered_task_count": 8,
+      "scored_task_count": 9,
+      "covered_task_count": 9,
       "proxy_scored_task_count": 0,
-      "scoreless_task_count": 12,
+      "scoreless_task_count": 11,
       "unsupported_task_count": 0,
-      "not_evaluated_task_count": 12,
+      "not_evaluated_task_count": 11,
       "status_counts": {
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-        "scored": 8
+        "not_evaluated_in_verified_package": 11,
+        "scored": 9
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-      "coverage_fraction": 0.4,
+      "coverage_fraction": 0.45,
       "result_record_fraction": 1.0
     },
     {
@@ -2299,17 +2299,17 @@
       "task_label": "Long-Horizon Next-Action Forecasting",
       "series_id": "cosmos3_super_reasoner",
       "method": "Cosmos3-Super Reasoner",
-      "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": "macro_f1",
-      "source": null,
+      "raw": 0.008807588075880758,
+      "raw_text": "0.0088",
+      "normalized_score": 0.008807588075880758,
+      "metric_key": "long_horizon_next_action_macro_f1",
+      "source": "results/omni_finetune/model_output_task_probes_20260616/long_horizon_next_action/cosmos3_super_reasoner/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
     },
     {
       "task_number": 13,

docs/data/task_surface_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-18T16:38:43+00:00",
+  "generated_at_utc": "2026-06-18T18:19:45+00:00",
   "summary": {
     "task_count": 12,
     "expected_task_count": 12,

docs/data/unified_task_model_radar.json

@@ -1,11 +1,11 @@
 {
   "title": "Unified 20-Task Model Radar",
   "status": "pass",
-  "generated_at_utc": "2026-06-18T16:36:15+00:00",
+  "generated_at_utc": "2026-06-18T18:18:12+00:00",
   "task_count": 20,
   "method_count": 9,
   "method_task_record_count": 180,
-  "scored_method_task_count": 146,
+  "scored_method_task_count": 147,
   "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",
@@ -193,17 +193,17 @@
       "method_detail": "Verified Cosmos3-Super base-weight Reasoner JSON-task evaluation, plus task 16 and a derived task-20 action-boundary timing probe scored from existing verified JSON.",
       "plotted_as": "colored point overlay",
       "result_record_count": 20,
-      "scored_task_count": 8,
-      "covered_task_count": 8,
+      "scored_task_count": 9,
+      "covered_task_count": 9,
       "proxy_scored_task_count": 0,
-      "scoreless_task_count": 12,
+      "scoreless_task_count": 11,
       "unsupported_task_count": 0,
-      "not_evaluated_task_count": 12,
+      "not_evaluated_task_count": 11,
       "status_counts": {
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-        "scored": 8
+        "not_evaluated_in_verified_package": 11,
+        "scored": 9
       },
-      "coverage_fraction": 0.4,
+      "coverage_fraction": 0.45,
       "result_record_fraction": 1.0
     },
     {
@@ -1596,6 +1596,17 @@
           "raw_text": "0.0655",
           "status_label": "scored"
         },
+        "cosmos3_super_reasoner": {
+          "raw": 0.008807588075880758,
+          "metric_key": "long_horizon_next_action_macro_f1",
+          "source": "results/omni_finetune/model_output_task_probes_20260616/long_horizon_next_action/cosmos3_super_reasoner/metrics.json",
+          "scope": "multi_episode_128_partial_model_overlay",
+          "status": "scored",
+          "reason": null,
+          "normalized_score": 0.008807588075880758,
+          "raw_text": "0.0088",
+          "status_label": "scored"
+        },
         "cosmos3_nano_future_window": {
           "raw": 0.0024906600249066007,
           "metric_key": "long_horizon_next_action_macro_f1",
@@ -1661,17 +1672,6 @@
           "normalized_score": 0.001063859887389299,
           "raw_text": "0.0011",
           "status_label": "scored"
-        },
-        "cosmos3_super_reasoner": {
-          "raw": null,
-          "metric_key": "macro_f1",
-          "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"
         }
       }
     },
@@ -2499,7 +2499,7 @@
       "id": "cosmos3_super_reasoner",
       "title": "Cosmos3-Super Reasoner",
       "status": "verified_base_weight_eval",
-      "coverage": "20 records / 8 scored task-aligned axes",
+      "coverage": "20 records / 9 scored task-aligned axes",
       "headline": "JSON validity 0.5112; action macro-F1 0.0008",
       "source": "results/omni_finetune/verified_public/xperience10m_cosmos3_super_reasoner_128ep_test_full_20260607/eval/metrics.json"
     },
@@ -4597,17 +4597,17 @@
       "task_label": "Long-Horizon Next-Action Forecasting",
       "series_id": "cosmos3_super_reasoner",
       "method": "Cosmos3-Super Reasoner",
-      "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": "macro_f1",
-      "source": null,
+      "raw": 0.008807588075880758,
+      "raw_text": "0.0088",
+      "normalized_score": 0.008807588075880758,
+      "metric_key": "long_horizon_next_action_macro_f1",
+      "source": "results/omni_finetune/model_output_task_probes_20260616/long_horizon_next_action/cosmos3_super_reasoner/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
     },
     {
       "task_number": 13,

docs/data/website_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-18T17:41:45+00:00",
+  "generated_at_utc": "2026-06-18T18:19:47+00:00",
   "docs_root": "docs",
   "site_base": "/ropedia-xperience-10m-task-suite/",
   "summary": {
@@ -316,7 +316,7 @@
     },
     {
       "path": "data/episode128_task_model_radar.json",
-      "bytes": 185505,
+      "bytes": 185481,
       "top_level_type": "dict"
     },
     {
@@ -351,7 +351,7 @@
     },
     {
       "path": "data/mirror_parity.json",
-      "bytes": 923177,
+      "bytes": 924768,
       "top_level_type": "dict"
     },
     {
@@ -401,7 +401,7 @@
     },
     {
       "path": "data/publication_audit.json",
-      "bytes": 9520,
+      "bytes": 9613,
       "top_level_type": "dict"
     },
     {
@@ -486,12 +486,12 @@
     },
     {
       "path": "data/task_method_20_gap_audit.json",
-      "bytes": 33639,
+      "bytes": 32834,
       "top_level_type": "dict"
     },
     {
       "path": "data/task_method_20_result_matrix.json",
-      "bytes": 128891,
+      "bytes": 128879,
       "top_level_type": "dict"
     },
     {
@@ -526,12 +526,12 @@
     },
     {
       "path": "data/unified_task_model_radar.json",
-      "bytes": 229357,
+      "bytes": 229333,
       "top_level_type": "dict"
     },
     {
       "path": "data/website_integrity.json",
-      "bytes": 20020,
+      "bytes": 20021,
       "top_level_type": "dict"
     },
     {
@@ -571,7 +571,7 @@
     {
       "path": "assets/charts/episode128_task_model_radar.svg",
       "exists": true,
-      "bytes": 48152,
+      "bytes": 48263,
       "format": "SVG",
       "has_viewbox": true
     },
@@ -641,7 +641,7 @@
     {
       "path": "assets/charts/unified_task_model_radar.svg",
       "exists": true,
-      "bytes": 54165,
+      "bytes": 54276,
       "format": "SVG",
       "has_viewbox": true
     },

docs/index.html

@@ -3148,7 +3148,7 @@
       <div class="hero-radar-panel" aria-label="Unified 20-task radar comparison">
         <div class="hero-radar-top">
           <strong>home radar comparison</strong>
-          <span>180 method-task records / 145 scored axes / raw128 complete with 2 documented proxy axes</span>
+          <span>180 method-task records / 147 scored axes / raw128 complete with 2 documented proxy axes</span>
         </div>
         <div class="hero-radar-layout">
           <a class="hero-radar-frame" href="#suite" aria-label="Open full unified 20-task model radar">
@@ -3159,7 +3159,7 @@
             <p>The full SVG names every axis and keeps 20-result records, scored-axis counts, raw metric sources, and proxy notes attached to the same comparison view.</p>
             <div class="hero-radar-stats" aria-label="Radar coverage summary">
               <div class="hero-radar-stat"><strong>180</strong><span>method-task records</span></div>
-              <div class="hero-radar-stat"><strong>145</strong><span>scored axes</span></div>
+              <div class="hero-radar-stat"><strong>146</strong><span>scored axes</span></div>
               <div class="hero-radar-stat"><strong>40/40</strong><span>raw128 pass</span></div>
               <div class="hero-radar-stat"><strong>34,269</strong><span>128ep windows</span></div>
             </div>
@@ -4021,7 +4021,7 @@
           </article>
           <article class="figure-brief-card">
             <h3>Score gap audit</h3>
-            <p>The matrix has 180 method-task records and 144 numeric scores. The gap audit lists every scoreless metadata/Qwen/Cosmos cell and the exact target or model-output evidence required before a new number can be published.</p>
+            <p>The matrix has 180 method-task records and 147 numeric scores. The gap audit lists every scoreless metadata/Qwen/Cosmos cell and the exact target or model-output evidence required before a new number can be published.</p>
           </article>
         </div>
         <img class="chart" src="assets/charts/unified_task_model_radar.svg?v=xperience10m-20task-radar-v6" alt="Unified 20-task radar comparing Minimal, Neural MLP, 128-episode metadata/raw baselines, Qwen3-Omni, and Cosmos3 with task names, method details, 20-record counts, scored-axis counts, and proxy notes">

index.html

@@ -3148,7 +3148,7 @@
       <div class="hero-radar-panel" aria-label="Unified 20-task radar comparison">
         <div class="hero-radar-top">
           <strong>home radar comparison</strong>
-          <span>180 method-task records / 145 scored axes / raw128 complete with 2 documented proxy axes</span>
+          <span>180 method-task records / 147 scored axes / raw128 complete with 2 documented proxy axes</span>
         </div>
         <div class="hero-radar-layout">
           <a class="hero-radar-frame" href="#suite" aria-label="Open full unified 20-task model radar">
@@ -3159,7 +3159,7 @@
             <p>The full SVG names every axis and keeps 20-result records, scored-axis counts, raw metric sources, and proxy notes attached to the same comparison view.</p>
             <div class="hero-radar-stats" aria-label="Radar coverage summary">
               <div class="hero-radar-stat"><strong>180</strong><span>method-task records</span></div>
-              <div class="hero-radar-stat"><strong>145</strong><span>scored axes</span></div>
+              <div class="hero-radar-stat"><strong>146</strong><span>scored axes</span></div>
               <div class="hero-radar-stat"><strong>40/40</strong><span>raw128 pass</span></div>
               <div class="hero-radar-stat"><strong>34,269</strong><span>128ep windows</span></div>
             </div>
@@ -4021,7 +4021,7 @@
           </article>
           <article class="figure-brief-card">
             <h3>Score gap audit</h3>
-            <p>The matrix has 180 method-task records and 144 numeric scores. The gap audit lists every scoreless metadata/Qwen/Cosmos cell and the exact target or model-output evidence required before a new number can be published.</p>
+            <p>The matrix has 180 method-task records and 147 numeric scores. The gap audit lists every scoreless metadata/Qwen/Cosmos cell and the exact target or model-output evidence required before a new number can be published.</p>
           </article>
         </div>
         <img class="chart" src="assets/charts/unified_task_model_radar.svg?v=xperience10m-20task-radar-v6" alt="Unified 20-task radar comparing Minimal, Neural MLP, 128-episode metadata/raw baselines, Qwen3-Omni, and Cosmos3 with task names, method details, 20-record counts, scored-axis counts, and proxy notes">

results/omni_finetune/model_output_task_probes_20260616/RUN_REPORT.md

@@ -1,6 +1,6 @@
 # Existing Model-Output Task Probes
 
-Generated: `2026-06-18T16:30:30+00:00`
+Generated: `2026-06-18T18:16:09+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
@@ -9,5 +9,5 @@ are absent from a model branch.
 | Method | ID | Status | Scored tasks | Task 13 macro-F1 | Task 16 macro-F1 | Task 20 MAE | Evidence |
 | --- | --- | --- | --- | ---: | ---: | ---: | --- |
 | 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, time_to_transition | n/a | 0.000000 | 52.946 | results/omni_finetune/verified_public/xperience10m_cosmos3_super_reasoner_128ep_test_full_20260607/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 |

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": "2026-06-18T15:25:22+00:00",
+  "generated_at_utc": "2026-06-18T18:16:09+00:00",
   "labels": [
     "Adjust canned food on shelf :: canned food | cardboard box | store shelf",
     "Adjust item on shelf :: shelf | stationery package",

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

@@ -8,7 +8,7 @@
     "predictions_csv": "results/omni_finetune/model_output_task_probes_20260616/action_object_relation/qwen3_omni_v6_lora/predictions.csv"
   },
   "excluded_rows_without_true_relation": 18,
-  "generated_at_utc": "2026-06-18T15:25:21+00:00",
+  "generated_at_utc": "2026-06-18T18:16:08+00:00",
   "labels": [
     "Adjust canned food on shelf :: canned food | cardboard box | store shelf",
     "Adjust item on shelf :: hand | packaged item | shelf",

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

@@ -7,7 +7,7 @@
   },
   "dataset_contract": "xperience10m_future_window_world_model_v0",
   "excluded_rows_without_true_action": 0,
-  "generated_at_utc": "2026-06-18T15:25:22+00:00",
+  "generated_at_utc": "2026-06-18T18:16:09+00:00",
   "horizon_windows": 5,
   "known_limitation": "The verified package records horizon_windows rather than a raw wall-clock horizon. This score should be read as the Cosmos-Nano future-window branch for task 13, not as independent proof of an exact five-second raw-video target.",
   "labels": [

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

@@ -0,0 +1,278 @@
+{
+  "accuracy": 0.03794642857142857,
+  "artifact_files": {
+    "metrics_json": "results/omni_finetune/model_output_task_probes_20260616/long_horizon_next_action/cosmos3_super_reasoner/metrics.json",
+    "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",
+  "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",
+    "Adjust item on shelf",
+    "Adjust lantern shape",
+    "Adjust lantern string",
+    "Adjust paper",
+    "Adjust pot position",
+    "Adjust puzzle piece",
+    "Align canned food on shelf",
+    "Align edges of paper lantern",
+    "Align paper lantern edges",
+    "Apply adhesive tape to lantern",
+    "Approach boxes",
+    "Approaching and pressing the door switch",
+    "Approaching the table",
+    "Arrange buttons",
+    "Arrange buttons in a line",
+    "Arrange star beads",
+    "Arrange star beads for counting",
+    "Attempt to fit puzzle piece",
+    "Bend and manipulate plastic strip",
+    "Browse smartphone screen",
+    "Bundle display hooks",
+    "Closing the door",
+    "Counting and organizing beads",
+    "Counting star beads",
+    "Cut along the marked line",
+    "Cut cardboard",
+    "Cut cardboard piece",
+    "Entering the VR training room",
+    "Expand paper lantern",
+    "Extract wire hangers from box",
+    "Fold paper lantern",
+    "Fold plastic strip",
+    "Gather star beads",
+    "Gesturing",
+    "Grasp cleaning bottle",
+    "Grasp lantern",
+    "Grasp lantern component",
+    "Grasping cleaning cloth",
+    "Greeting/acknowledging participants",
+    "Handle paper lantern component",
+    "Hold and bend plastic strip",
+    "Hold and manipulate paper strip",
+    "Hold beads",
+    "Hold canned food",
+    "Hold cardboard piece",
+    "Hold container lid",
+    "Hold earbud case",
+    "Hold paper lantern",
+    "Hold smartphone",
+    "Identify next cardboard piece",
+    "Inspect shelf condition",
+    "Interact with smartphone",
+    "Lift pot lid",
+    "Manipulate adhesive strip",
+    "Manipulate bead",
+    "Manipulate beads",
+    "Manipulate craft paper strips",
+    "Manipulate craft piece",
+    "Manipulate material",
+    "Manipulate paper decoration",
+    "Manipulate paper edge",
+    "Manipulate paper strip",
+    "Manipulate plastic strip",
+    "Manipulate plastic strips",
+    "Manipulate puzzle piece",
+    "Manipulate puzzle pieces",
+    "Manipulate yellow strip",
+    "Manipulating paper strips",
+    "Mark cardboard piece",
+    "Marking cardboard piece",
+    "Move dustpan to side",
+    "Move hand away",
+    "Move hand away from shelf",
+    "Move marker and adjust hand",
+    "Move phone",
+    "Move pot",
+    "Move smartphone",
+    "Move through aisle",
+    "Move through the training room",
+    "Move to shelf",
+    "Move towards kitchen area",
+    "Move towards the stove",
+    "Observe and pause",
+    "Observe and walk through store",
+    "Observe colleague and workspace",
+    "Observe puzzle progress",
+    "Observe workspace",
+    "Open earbud case",
+    "Open folded paper lantern",
+    "Open paper lantern",
+    "Open paper lantern component",
+    "Open stove pot lid",
+    "Operate smartphone",
+    "Organize cardboard pieces",
+    "Pick up button",
+    "Pick up can",
+    "Pick up canned food",
+    "Pick up dustpan",
+    "Pick up items from the shopping bag",
+    "Pick up new cardboard piece",
+    "Pick up packaged paper lantern component",
+    "Pick up pen",
+    "Pick up puzzle piece",
+    "Pick up small piece of material",
+    "Pick up smartphone",
+    "Pick up star bead",
+    "Pick up utility knife",
+    "Picking up bottle",
+    "Picking up crafting material",
+    "Place and count bead",
+    "Place another canned food on shelf",
+    "Place button",
+    "Place can on shelf",
+    "Place canned food on shelf",
+    "Place cloth on floor",
+    "Place hand on table",
+    "Place item on shelf",
+    "Place items on the shelf",
+    "Place lid back",
+    "Place marked piece down",
+    "Place material",
+    "Place phone down",
+    "Place piece into puzzle",
+    "Place puzzle piece",
+    "Place smartphone down",
+    "Place smartphone on stand",
+    "Place towel",
+    "Placing paper strip",
+    "Preparing to craft",
+    "Put down smartphone",
+    "Reach for another item",
+    "Reach for cleaning supplies",
+    "Reach for craft items",
+    "Reach for next can",
+    "Reach for next canned food",
+    "Reach for next item",
+    "Reach for puzzle piece",
+    "Reach for wire hangers",
+    "Reach into box",
+    "Record count",
+    "Release cardboard piece and gesture",
+    "Release hook",
+    "Release lantern",
+    "Release paper strip",
+    "Release puzzle piece",
+    "Release scissors",
+    "Release smartphone",
+    "Remove cleaning bottle",
+    "Remove paper lantern part from packaging",
+    "Remove plastic packaging",
+    "Reposition hand",
+    "Resume observation",
+    "Retrieve canned food from box",
+    "Retrieve next canned food item",
+    "Retrieving more beads",
+    "Rinse cloth in sink",
+    "Scroll smartphone screen",
+    "Search for puzzle piece",
+    "Secure paper edges with adhesive",
+    "Securing paper structure",
+    "Sort and adjust button line",
+    "Sort and arrange buttons",
+    "Sort and count beads",
+    "Sort and place buttons",
+    "Sort beads",
+    "Sort beads and write count",
+    "Sort button",
+    "Sort buttons",
+    "Sort craft items",
+    "Sort puzzle pieces",
+    "Sort small craft pieces",
+    "Sort star-shaped beads",
+    "Start cutting",
+    "Stir contents",
+    "Use phone",
+    "Use phone while crafting",
+    "Use smartphone",
+    "Walk towards other aisles",
+    "Walk towards shelves",
+    "Walking across the room",
+    "Walking in the hallway",
+    "Walking towards door",
+    "Washing hands in sink",
+    "Wipe kitchen counter",
+    "Wiping countertop",
+    "Write count on paper",
+    "Write on paper",
+    "sort craft materials",
+    "Pick up and place canned goods on shelf",
+    "Browsing smartphone content",
+    "Move along the shelf",
+    "Approach packing area",
+    "Gather items for packing",
+    "Reach for and pick up smartphone",
+    "Adjust Mahjong tile",
+    "unknown",
+    "Position hands for work",
+    "{\"action\":\"unknown\",\"subtask\":\"unknown\",\"objects\":[]/\"contact\":\"unknown\",\"transition\":\"unknown\",\"next_action\":\"unknown\",\"evidence_window\":{\"start_frame\":0,\"end_frame\":0}}",
+    "Adjusting items on the shelf",
+    "Pick up water bottle",
+    "{\"action\": \"Approach the stove\", \"subtask\": \"Approaching the stove\", \"objects\": [\"stove\", \"pot\", \"kitchen counter\", \"utensils\", \"person\", \"window\", \"sink\", \"cabinet\", \"floor\", \"wall\", \"ceiling\", \"light\", \"fan\", \"plant\", \"bottle\", \"can\", \"box\", \"paper\", \"cloth\", \"tool\", \"device\", \"phone\",",
+    "Check cooking pot",
+    "Reach for next canned food item",
+    "Reach for items in box",
+    "Align cardboard piece",
+    "Adjust cardboard",
+    "Gather cardboard pieces",
+    "Mark cardboard with pen and ruler",
+    "Position cardboard for cutting",
+    "Carry cardboard piece",
+    "Reposition ruler and continue cutting",
+    "Adjust cardboard position",
+    "Pick up item",
+    "Adjust position",
+    "Grasp item",
+    "Place container on shelf",
+    "Grasp and retrieve item",
+    "Adjust cardboard divider",
+    "Inspect shelf",
+    "Picking up and placing canned goods",
+    "Adjust cans in container",
+    "Fold paper strip",
+    "Place red hat on table",
+    "Place red cap on table",
+    "Fold paper strip into star",
+    "Close container",
+    "Organize items for packing",
+    "Adjust grip",
+    "Place item in container",
+    "Look around the table",
+    "Approach table",
+    "Adjust hand position",
+    "Adjust Mahjong tile alignment",
+    "Adjusting and placing down paper pieces",
+    "Sort and combine bead piles",
+    ":unknown",
+    "Adjust bead piles",
+    "Manipulate colorful pieces",
+    "Adjust red button",
+    "Pick up item to pack",
+    "Greeting participants",
+    "Organizing items",
+    "Interacting with phone",
+    "{\"action\": \"Interacting with phone\", \"subtask\": \"Browsing and interacting with phone interface\", \"objects\": [\"smartphone\", \"person\", \"table\", \"chair\", \"wall\", \"floor\", \"ceiling\", \"lighting fixture\", \"door\", \"window\", \"poster\", \"sign\", \"banner\", \"plant\", \"carpet\", \"railing\", \"staircase\", \"elevator\", \"escalator\", \"handrail\",",
+    "Sort beads by color"
+  ],
+  "long_horizon_next_action_accuracy": 0.03794642857142857,
+  "long_horizon_next_action_macro_f1": 0.008807588075880758,
+  "macro_f1": 0.008807588075880758,
+  "metric_key": "long_horizon_next_action_macro_f1",
+  "missing_pred_next_action_count": 0,
+  "model_id": "cosmos3_super_reasoner",
+  "model_label": "Cosmos3-Super Reasoner",
+  "normalization_policy": "Whitespace and surrounding quotes/punctuation are normalized before exact-label scoring.",
+  "num_samples": 448,
+  "primary_metric": "long_horizon_next_action_macro_f1",
+  "primary_score": 0.008807588075880758,
+  "scope": "held_out_test_existing_verified_prediction_json",
+  "score_policy": "Derived from the existing verified held-out prediction JSON next_action field. No new model inference was run; rows without a predicted next_action are counted as missing predictions.",
+  "scored_rows": 448,
+  "source_prediction_jsonl": "results/omni_finetune/verified_public/xperience10m_cosmos3_super_reasoner_128ep_test_full_20260607/eval/predictions.jsonl",
+  "status": "pass",
+  "task_id": "long_horizon_next_action",
+  "task_label": "Long-Horizon Next Action",
+  "task_number": 13,
+  "title": "Cosmos3-Super Reasoner Long-Horizon Next-Action Existing-Output Probe"
+}

results/omni_finetune/model_output_task_probes_20260616/long_horizon_next_action/cosmos3_super_reasoner/per_class_metrics.csv

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results/omni_finetune/model_output_task_probes_20260616/long_horizon_next_action/cosmos3_super_reasoner/predictions.csv

@@ -0,0 +1,449 @@
+id,split,episode_id,center_window,true_next_action,pred_next_action,correct
+8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:qa:0,test,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1,"{""end_frame"": 19, ""num_frames"": 20, ""start_frame"": 0}",Hold smartphone,Pick up and place canned goods on shelf,0
+8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:qa:20,test,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1,"{""end_frame"": 419, ""num_frames"": 20, ""start_frame"": 400}",Use smartphone,Browsing smartphone content,0
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+8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1:qa:50,test,8a8e1b3c-607e-4ada-b3fd-fa639727e92c__ep1,"{""end_frame"": 1019, ""num_frames"": 20, ""start_frame"": 1000}",Pick up dustpan,Move along the shelf,0
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+a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:qa:254,test,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1,"{""end_frame"": 5099, ""num_frames"": 20, ""start_frame"": 5080}",Cut along the marked line,Cut cardboard,0
+a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:qa:255,test,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1,"{""end_frame"": 5119, ""num_frames"": 20, ""start_frame"": 5100}",Cut along the marked line,Reposition ruler and continue cutting,0
+a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:qa:256,test,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1,"{""end_frame"": 5139, ""num_frames"": 20, ""start_frame"": 5120}",Cut along the marked line,Reposition ruler and continue cutting,0
+a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:qa:294,test,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1,"{""end_frame"": 5899, ""num_frames"": 20, ""start_frame"": 5880}",Reposition hand,Adjust cardboard,0
+a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:qa:295,test,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1,"{""end_frame"": 5919, ""num_frames"": 20, ""start_frame"": 5900}",Reposition hand,Adjust cardboard,0
+a1012a57-385e-45a9-8a59-694a26fe92a5__ep1:qa:296,test,a1012a57-385e-45a9-8a59-694a26fe92a5__ep1,"{""end_frame"": 5939, ""num_frames"": 20, ""start_frame"": 5920}",Reposition hand,Adjust cardboard position,0
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:0,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,"{""end_frame"": 19, ""num_frames"": 20, ""start_frame"": 0}",Observe and walk through store,unknown,0
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:1,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,"{""end_frame"": 39, ""num_frames"": 20, ""start_frame"": 20}",Observe and walk through store,Approaching the table,0
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:16,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,"{""end_frame"": 339, ""num_frames"": 20, ""start_frame"": 320}",Move to shelf,Inspect shelf condition,0
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:17,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,"{""end_frame"": 359, ""num_frames"": 20, ""start_frame"": 340}",Move to shelf,Pick up item,0
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:20,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,"{""end_frame"": 419, ""num_frames"": 20, ""start_frame"": 400}",Inspect shelf condition,Adjust cardboard position,0
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:21,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,"{""end_frame"": 439, ""num_frames"": 20, ""start_frame"": 420}",Inspect shelf condition,Adjust position,0
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:46,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,"{""end_frame"": 939, ""num_frames"": 20, ""start_frame"": 920}",Observe colleague and workspace,Move along the shelf,0
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:47,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,"{""end_frame"": 959, ""num_frames"": 20, ""start_frame"": 940}",Observe colleague and workspace,Adjust position,0
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:50,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,"{""end_frame"": 1019, ""num_frames"": 20, ""start_frame"": 1000}",Walk towards shelves,Inspect shelf condition,0
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:58,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,"{""end_frame"": 1179, ""num_frames"": 20, ""start_frame"": 1160}",Observe workspace,Grasp item,0
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:59,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,"{""end_frame"": 1199, ""num_frames"": 20, ""start_frame"": 1180}",Observe workspace,unknown,0
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:64,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,"{""end_frame"": 1299, ""num_frames"": 20, ""start_frame"": 1280}",Approach boxes,Grasp item,0
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:65,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,"{""end_frame"": 1319, ""num_frames"": 20, ""start_frame"": 1300}",Approach boxes,Grasp item,0
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:70,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,"{""end_frame"": 1419, ""num_frames"": 20, ""start_frame"": 1400}",Reach for wire hangers,Grasp item,0
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:76,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,"{""end_frame"": 1539, ""num_frames"": 20, ""start_frame"": 1520}",Extract wire hangers from box,Place container on shelf,0
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:77,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,"{""end_frame"": 1559, ""num_frames"": 20, ""start_frame"": 1540}",Extract wire hangers from box,Adjust lantern string,0
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:100,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,"{""end_frame"": 2019, ""num_frames"": 20, ""start_frame"": 2000}",Bundle display hooks,Place container on shelf,0
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:101,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,"{""end_frame"": 2039, ""num_frames"": 20, ""start_frame"": 2020}",Bundle display hooks,Grasp item,0
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:126,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,"{""end_frame"": 2539, ""num_frames"": 20, ""start_frame"": 2520}",Release hook,Adjust item on shelf,0
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:138,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,"{""end_frame"": 2779, ""num_frames"": 20, ""start_frame"": 2760}",Walk towards other aisles,Inspect shelf condition,0
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:140,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,"{""end_frame"": 2819, ""num_frames"": 20, ""start_frame"": 2800}",Move through aisle,Inspect shelf condition,0
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:141,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,"{""end_frame"": 2839, ""num_frames"": 20, ""start_frame"": 2820}",Move through aisle,Grasp and retrieve item,0
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:150,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,"{""end_frame"": 3019, ""num_frames"": 20, ""start_frame"": 3000}",Pick up items from the shopping bag,Inspect shelf condition,0
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:151,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,"{""end_frame"": 3039, ""num_frames"": 20, ""start_frame"": 3020}",Pick up items from the shopping bag,Gather cardboard pieces,0
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:164,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,"{""end_frame"": 3299, ""num_frames"": 20, ""start_frame"": 3280}",Place items on the shelf,Move along the shelf,0
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:165,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,"{""end_frame"": 3319, ""num_frames"": 20, ""start_frame"": 3300}",Place items on the shelf,Move along the shelf,0
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:172,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,"{""end_frame"": 3459, ""num_frames"": 20, ""start_frame"": 3440}",Place item on shelf,Move along the shelf,0
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:173,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,"{""end_frame"": 3479, ""num_frames"": 20, ""start_frame"": 3460}",Place item on shelf,Grasp item,0
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:182,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,"{""end_frame"": 3659, ""num_frames"": 20, ""start_frame"": 3640}",Adjust item on shelf,Adjust item on shelf,1
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:183,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,"{""end_frame"": 3679, ""num_frames"": 20, ""start_frame"": 3660}",Adjust item on shelf,Adjust item on shelf,1
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:226,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,"{""end_frame"": 4539, ""num_frames"": 20, ""start_frame"": 4520}",Reach for another item,Move along the shelf,0
+33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1:qa:244,test,33f7ae08-ac1d-4321-9cb9-eca79016b359__ep1,"{""end_frame"": 4899, ""num_frames"": 20, ""start_frame"": 4880}",Reach for next item,Move along the shelf,0
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:0,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,"{""end_frame"": 19, ""num_frames"": 20, ""start_frame"": 0}",Mark cardboard piece,Adjust Mahjong tile,0
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:1,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,"{""end_frame"": 39, ""num_frames"": 20, ""start_frame"": 20}",Mark cardboard piece,Adjust Mahjong tile,0
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:2,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,"{""end_frame"": 59, ""num_frames"": 20, ""start_frame"": 40}",Mark cardboard piece,Adjust Mahjong tile,0
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:26,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,"{""end_frame"": 539, ""num_frames"": 20, ""start_frame"": 520}",Place marked piece down,Adjust Mahjong tile,0
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:27,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,"{""end_frame"": 559, ""num_frames"": 20, ""start_frame"": 540}",Place marked piece down,Manipulate paper strip,0
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:30,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,"{""end_frame"": 619, ""num_frames"": 20, ""start_frame"": 600}",Pick up new cardboard piece,Manipulate paper strip,0
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:31,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,"{""end_frame"": 639, ""num_frames"": 20, ""start_frame"": 620}",Pick up new cardboard piece,Adjust Mahjong tile,0
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:70,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,"{""end_frame"": 1419, ""num_frames"": 20, ""start_frame"": 1400}",Hold cardboard piece,Manipulate paper strip,0
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:71,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,"{""end_frame"": 1439, ""num_frames"": 20, ""start_frame"": 1420}",Hold cardboard piece,Adjust Mahjong tile,0
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:72,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,"{""end_frame"": 1459, ""num_frames"": 20, ""start_frame"": 1440}",Hold cardboard piece,Adjust Mahjong tile,0
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:90,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,"{""end_frame"": 1819, ""num_frames"": 20, ""start_frame"": 1800}",Organize cardboard pieces,Arrange buttons,0
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:91,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,"{""end_frame"": 1839, ""num_frames"": 20, ""start_frame"": 1820}",Organize cardboard pieces,Manipulate paper strip,0
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:110,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,"{""end_frame"": 2219, ""num_frames"": 20, ""start_frame"": 2200}",Cut cardboard piece,Position cardboard for cutting,0
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:111,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,"{""end_frame"": 2239, ""num_frames"": 20, ""start_frame"": 2220}",Cut cardboard piece,Adjust cardboard divider,0
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:112,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,"{""end_frame"": 2259, ""num_frames"": 20, ""start_frame"": 2240}",Cut cardboard piece,Adjust cardboard divider,0
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:170,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,"{""end_frame"": 3419, ""num_frames"": 20, ""start_frame"": 3400}",Marking cardboard piece,Adjust Mahjong tile,0
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:171,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,"{""end_frame"": 3439, ""num_frames"": 20, ""start_frame"": 3420}",Marking cardboard piece,Adjust Mahjong tile,0
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:172,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,"{""end_frame"": 3459, ""num_frames"": 20, ""start_frame"": 3440}",Marking cardboard piece,Adjust Mahjong tile,0
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:230,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,"{""end_frame"": 4619, ""num_frames"": 20, ""start_frame"": 4600}",Release cardboard piece and gesture,Adjust Mahjong tile,0
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:231,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,"{""end_frame"": 4639, ""num_frames"": 20, ""start_frame"": 4620}",Release cardboard piece and gesture,Adjust Mahjong tile,0
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:276,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,"{""end_frame"": 5539, ""num_frames"": 20, ""start_frame"": 5520}",Move marker and adjust hand,Adjust Mahjong tile,0
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:277,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,"{""end_frame"": 5559, ""num_frames"": 20, ""start_frame"": 5540}",Move marker and adjust hand,Manipulate paper strip,0
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:278,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,"{""end_frame"": 5579, ""num_frames"": 20, ""start_frame"": 5560}",Move marker and adjust hand,Adjust Mahjong tile,0
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:282,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,"{""end_frame"": 5659, ""num_frames"": 20, ""start_frame"": 5640}",Identify next cardboard piece,Manipulate paper strip,0
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:283,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,"{""end_frame"": 5679, ""num_frames"": 20, ""start_frame"": 5660}",Identify next cardboard piece,Manipulate paper strip,0
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:284,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,"{""end_frame"": 5699, ""num_frames"": 20, ""start_frame"": 5680}",Identify next cardboard piece,Manipulate paper strip,0
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:290,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,"{""end_frame"": 5819, ""num_frames"": 20, ""start_frame"": 5800}",Observe and pause,Adjust Mahjong tile,0
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:291,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,"{""end_frame"": 5839, ""num_frames"": 20, ""start_frame"": 5820}",Gesturing,Adjust Mahjong tile,0
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:292,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,"{""end_frame"": 5859, ""num_frames"": 20, ""start_frame"": 5840}",Gesturing,Adjust Mahjong tile,0
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:293,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,"{""end_frame"": 5879, ""num_frames"": 20, ""start_frame"": 5860}",Resume observation,Adjust Mahjong tile,0
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:294,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,"{""end_frame"": 5899, ""num_frames"": 20, ""start_frame"": 5880}",Resume observation,Adjust Mahjong tile,0
+9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2:qa:295,test,9c553886-83c5-4dc4-be5c-dcb269b3a771__ep2,"{""end_frame"": 5919, ""num_frames"": 20, ""start_frame"": 5900}",Resume observation,Adjust Mahjong tile,0
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:0,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,"{""end_frame"": 19, ""num_frames"": 20, ""start_frame"": 0}",Place canned food on shelf,Adjust canned food on shelf,0
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:12,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,"{""end_frame"": 259, ""num_frames"": 20, ""start_frame"": 240}",Reach for next can,Place canned food on shelf,0
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:64,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,"{""end_frame"": 1299, ""num_frames"": 20, ""start_frame"": 1280}",Pick up can,Place canned food on shelf,0
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:65,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,"{""end_frame"": 1319, ""num_frames"": 20, ""start_frame"": 1300}",Pick up can,Place canned food on shelf,0
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:70,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,"{""end_frame"": 1419, ""num_frames"": 20, ""start_frame"": 1400}",Hold canned food,Adjust canned food on shelf,0
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:71,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,"{""end_frame"": 1439, ""num_frames"": 20, ""start_frame"": 1420}",Hold canned food,Adjust canned food on shelf,0
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:82,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,"{""end_frame"": 1659, ""num_frames"": 20, ""start_frame"": 1640}",Reach into box,Reach for next canned food item,0
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:90,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,"{""end_frame"": 1819, ""num_frames"": 20, ""start_frame"": 1800}",Pick up canned food,Reach for next canned food item,0
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:91,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,"{""end_frame"": 1839, ""num_frames"": 20, ""start_frame"": 1820}",Pick up canned food,Adjust canned food on shelf,0
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:106,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,"{""end_frame"": 2139, ""num_frames"": 20, ""start_frame"": 2120}",Retrieve next canned food item,Reach for next canned food item,0
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:140,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,"{""end_frame"": 2819, ""num_frames"": 20, ""start_frame"": 2800}",Align canned food on shelf,Adjust canned food on shelf,0
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:141,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,"{""end_frame"": 2839, ""num_frames"": 20, ""start_frame"": 2820}",Align canned food on shelf,Adjust canned food on shelf,0
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:154,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,"{""end_frame"": 3099, ""num_frames"": 20, ""start_frame"": 3080}",Reach for next canned food,Adjust canned food on shelf,0
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:160,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,"{""end_frame"": 3219, ""num_frames"": 20, ""start_frame"": 3200}",Retrieve canned food from box,Inspect shelf,0
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:166,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,"{""end_frame"": 3339, ""num_frames"": 20, ""start_frame"": 3320}",Place another canned food on shelf,Picking up and placing canned goods,0
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:167,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,"{""end_frame"": 3359, ""num_frames"": 20, ""start_frame"": 3340}",Place another canned food on shelf,Place canned food on shelf,0
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:190,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,"{""end_frame"": 3819, ""num_frames"": 20, ""start_frame"": 3800}",Adjust canned food on shelf,Adjust canned food on shelf,1
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:191,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,"{""end_frame"": 3839, ""num_frames"": 20, ""start_frame"": 3820}",Adjust canned food on shelf,Adjust canned food on shelf,1
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:198,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,"{""end_frame"": 3979, ""num_frames"": 20, ""start_frame"": 3960}",Move hand away from shelf,Reach for and pick up smartphone,0
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:199,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,"{""end_frame"": 3999, ""num_frames"": 20, ""start_frame"": 3980}",Pick up canned food,Move along the shelf,0
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:206,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,"{""end_frame"": 4139, ""num_frames"": 20, ""start_frame"": 4120}",Place can on shelf,Adjust canned food on shelf,0
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:207,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,"{""end_frame"": 4159, ""num_frames"": 20, ""start_frame"": 4140}",Place can on shelf,Adjust cans in container,0
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:218,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,"{""end_frame"": 4379, ""num_frames"": 20, ""start_frame"": 4360}",Move hand away,Adjust Mahjong tile,0
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:219,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,"{""end_frame"": 4399, ""num_frames"": 20, ""start_frame"": 4380}",Hold earbud case,Browsing smartphone content,0
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:220,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,"{""end_frame"": 4419, ""num_frames"": 20, ""start_frame"": 4400}",Hold earbud case,Adjust Mahjong tile,0
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:221,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,"{""end_frame"": 4439, ""num_frames"": 20, ""start_frame"": 4420}",Hold earbud case,Browsing smartphone content,0
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:236,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,"{""end_frame"": 4739, ""num_frames"": 20, ""start_frame"": 4720}",Open earbud case,Browsing smartphone content,0
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:237,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,"{""end_frame"": 4759, ""num_frames"": 20, ""start_frame"": 4740}",Open earbud case,Adjust item on shelf,0
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:240,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,"{""end_frame"": 4819, ""num_frames"": 20, ""start_frame"": 4800}",Pick up smartphone,Browsing smartphone content,0
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:241,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,"{""end_frame"": 4839, ""num_frames"": 20, ""start_frame"": 4820}",Pick up smartphone,Browsing smartphone content,0
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:244,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,"{""end_frame"": 4899, ""num_frames"": 20, ""start_frame"": 4880}",Interact with smartphone,Browsing smartphone content,0
+34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5:qa:245,test,34f07a04-eb37-45a3-95ec-189ed5f4a85b__ep5,"{""end_frame"": 4919, ""num_frames"": 20, ""start_frame"": 4900}",Interact with smartphone,Browsing smartphone content,0
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:0,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,"{""end_frame"": 19, ""num_frames"": 20, ""start_frame"": 0}",sort craft materials,Browsing smartphone content,0
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:1,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,"{""end_frame"": 39, ""num_frames"": 20, ""start_frame"": 20}",sort craft materials,Browsing smartphone content,0
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:2,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,"{""end_frame"": 59, ""num_frames"": 20, ""start_frame"": 40}",sort craft materials,Browsing smartphone content,0
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:40,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,"{""end_frame"": 819, ""num_frames"": 20, ""start_frame"": 800}",Manipulate craft piece,Fold paper strip,0
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:41,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,"{""end_frame"": 839, ""num_frames"": 20, ""start_frame"": 820}",Manipulate craft piece,Manipulate paper strip,0
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:42,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,"{""end_frame"": 859, ""num_frames"": 20, ""start_frame"": 840}",Manipulate craft piece,Fold paper strip,0
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:43,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,"{""end_frame"": 879, ""num_frames"": 20, ""start_frame"": 860}",Manipulate craft piece,Manipulate paper strip,0
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:70,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,"{""end_frame"": 1419, ""num_frames"": 20, ""start_frame"": 1400}",Manipulate craft paper strips,Manipulate paper strip,0
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:71,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,"{""end_frame"": 1439, ""num_frames"": 20, ""start_frame"": 1420}",Manipulate craft paper strips,Manipulate paper strip,0
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:72,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,"{""end_frame"": 1459, ""num_frames"": 20, ""start_frame"": 1440}",Manipulate craft paper strips,Manipulate paper strip,0
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:73,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,"{""end_frame"": 1479, ""num_frames"": 20, ""start_frame"": 1460}",Manipulate craft paper strips,Manipulate paper strip,0
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:90,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,"{""end_frame"": 1819, ""num_frames"": 20, ""start_frame"": 1800}",Release scissors,Manipulate paper strip,0
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:91,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,"{""end_frame"": 1839, ""num_frames"": 20, ""start_frame"": 1820}",Release scissors,Manipulate paper strip,0
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:92,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,"{""end_frame"": 1859, ""num_frames"": 20, ""start_frame"": 1840}",Release scissors,Manipulate paper strip,0
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:94,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,"{""end_frame"": 1899, ""num_frames"": 20, ""start_frame"": 1880}",Operate smartphone,Browsing smartphone content,0
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:95,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,"{""end_frame"": 1919, ""num_frames"": 20, ""start_frame"": 1900}",Operate smartphone,Manipulate paper strip,0
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:96,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,"{""end_frame"": 1939, ""num_frames"": 20, ""start_frame"": 1920}",Operate smartphone,Fold paper strip,0
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:97,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,"{""end_frame"": 1959, ""num_frames"": 20, ""start_frame"": 1940}",Operate smartphone,Browsing smartphone content,0
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:114,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,"{""end_frame"": 2299, ""num_frames"": 20, ""start_frame"": 2280}",Release smartphone,Release paper strip,0
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:115,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,"{""end_frame"": 2319, ""num_frames"": 20, ""start_frame"": 2300}",Release smartphone,Manipulate paper strip,0
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:116,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,"{""end_frame"": 2339, ""num_frames"": 20, ""start_frame"": 2320}",Release smartphone,Manipulate paper strip,0
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:120,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,"{""end_frame"": 2419, ""num_frames"": 20, ""start_frame"": 2400}",Manipulate paper strip,Manipulate paper strip,1
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:121,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,"{""end_frame"": 2439, ""num_frames"": 20, ""start_frame"": 2420}",Manipulate paper strip,Fold paper strip,0
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:122,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,"{""end_frame"": 2459, ""num_frames"": 20, ""start_frame"": 2440}",Manipulate paper strip,Manipulate paper strip,1
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:123,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,"{""end_frame"": 2479, ""num_frames"": 20, ""start_frame"": 2460}",Manipulate paper strip,Manipulate paper strip,1
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:144,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,"{""end_frame"": 2899, ""num_frames"": 20, ""start_frame"": 2880}",Release paper strip,Manipulate paper strip,0
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:145,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,"{""end_frame"": 2919, ""num_frames"": 20, ""start_frame"": 2900}",Release paper strip,Manipulate paper strip,0
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:146,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,"{""end_frame"": 2939, ""num_frames"": 20, ""start_frame"": 2920}",Release paper strip,Manipulate paper strip,0
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:147,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,"{""end_frame"": 2959, ""num_frames"": 20, ""start_frame"": 2940}",Release paper strip,Manipulate paper strip,0
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:190,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,"{""end_frame"": 3819, ""num_frames"": 20, ""start_frame"": 3800}",Sort small craft pieces,Manipulate paper strip,0
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:191,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,"{""end_frame"": 3839, ""num_frames"": 20, ""start_frame"": 3820}",Sort small craft pieces,Fold paper strip,0
+b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2:qa:192,test,b9dd769b-e31a-4fdb-945e-5a60db6487b0__ep2,"{""end_frame"": 3859, ""num_frames"": 20, ""start_frame"": 3840}",Sort small craft pieces,Manipulate paper strip,0
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:0,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,"{""end_frame"": 19, ""num_frames"": 20, ""start_frame"": 0}",Open paper lantern,Manipulate paper strip,0
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:1,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,"{""end_frame"": 39, ""num_frames"": 20, ""start_frame"": 20}",Open paper lantern,Manipulate paper strip,0
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:20,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,"{""end_frame"": 419, ""num_frames"": 20, ""start_frame"": 400}",Fold paper lantern,Approach packing area,0
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:21,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,"{""end_frame"": 439, ""num_frames"": 20, ""start_frame"": 420}",Fold paper lantern,Place red hat on table,0
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:30,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,"{""end_frame"": 619, ""num_frames"": 20, ""start_frame"": 600}",Grasp lantern,Manipulate paper strip,0
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:31,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,"{""end_frame"": 639, ""num_frames"": 20, ""start_frame"": 620}",Grasp lantern,Manipulate paper strip,0
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:40,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,"{""end_frame"": 819, ""num_frames"": 20, ""start_frame"": 800}",Grasp lantern component,Manipulate paper strip,0
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:41,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,"{""end_frame"": 839, ""num_frames"": 20, ""start_frame"": 820}",Grasp lantern component,Place red cap on table,0
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:70,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,"{""end_frame"": 1419, ""num_frames"": 20, ""start_frame"": 1400}",Align paper lantern edges,Fold paper strip into star,0
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:71,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,"{""end_frame"": 1439, ""num_frames"": 20, ""start_frame"": 1420}",Align paper lantern edges,Adjust lantern shape,0
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:170,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,"{""end_frame"": 3419, ""num_frames"": 20, ""start_frame"": 3400}",Adjust lantern string,Manipulate paper strip,0
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:171,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,"{""end_frame"": 3439, ""num_frames"": 20, ""start_frame"": 3420}",Adjust lantern string,Close container,0
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:176,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,"{""end_frame"": 3539, ""num_frames"": 20, ""start_frame"": 3520}",Release lantern,Manipulate paper strip,0
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:182,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,"{""end_frame"": 3659, ""num_frames"": 20, ""start_frame"": 3640}",Pick up packaged paper lantern component,Grasp item,0
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:190,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,"{""end_frame"": 3819, ""num_frames"": 20, ""start_frame"": 3800}",Handle paper lantern component,Organize items for packing,0
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:191,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,"{""end_frame"": 3839, ""num_frames"": 20, ""start_frame"": 3820}",Handle paper lantern component,Grasp item,0
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:200,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,"{""end_frame"": 4019, ""num_frames"": 20, ""start_frame"": 4000}",Open folded paper lantern,Manipulate paper strip,0
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:201,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,"{""end_frame"": 4039, ""num_frames"": 20, ""start_frame"": 4020}",Open folded paper lantern,Manipulate paper strip,0
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:214,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,"{""end_frame"": 4299, ""num_frames"": 20, ""start_frame"": 4280}",Adjust lantern shape,Adjust grip,0
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:215,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,"{""end_frame"": 4319, ""num_frames"": 20, ""start_frame"": 4300}",Adjust lantern shape,Adjust lantern shape,1
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:220,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,"{""end_frame"": 4419, ""num_frames"": 20, ""start_frame"": 4400}",Hold paper lantern,Adjust lantern shape,0
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:221,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,"{""end_frame"": 4439, ""num_frames"": 20, ""start_frame"": 4420}",Hold paper lantern,Adjust grip,0
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:230,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,"{""end_frame"": 4619, ""num_frames"": 20, ""start_frame"": 4600}",Apply adhesive tape to lantern,Adjust grip,0
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:231,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,"{""end_frame"": 4639, ""num_frames"": 20, ""start_frame"": 4620}",Apply adhesive tape to lantern,Adjust grip,0
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:240,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,"{""end_frame"": 4819, ""num_frames"": 20, ""start_frame"": 4800}",Remove paper lantern part from packaging,Manipulate paper strip,0
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:250,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,"{""end_frame"": 5019, ""num_frames"": 20, ""start_frame"": 5000}",Remove plastic packaging,Manipulate paper strip,0
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:258,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,"{""end_frame"": 5179, ""num_frames"": 20, ""start_frame"": 5160}",Open paper lantern component,Grasp item,0
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:259,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,"{""end_frame"": 5199, ""num_frames"": 20, ""start_frame"": 5180}",Open paper lantern component,Manipulate paper strip,0
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:270,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,"{""end_frame"": 5419, ""num_frames"": 20, ""start_frame"": 5400}",Expand paper lantern,Place item in container,0
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:271,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,"{""end_frame"": 5439, ""num_frames"": 20, ""start_frame"": 5420}",Expand paper lantern,Adjust paper,0
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:290,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,"{""end_frame"": 5819, ""num_frames"": 20, ""start_frame"": 5800}",Align edges of paper lantern,Adjust lantern shape,0
+ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2:qa:291,test,ba045ed4-ef25-404d-b756-8dcbd45b18fa__ep2,"{""end_frame"": 5839, ""num_frames"": 20, ""start_frame"": 5820}",Align edges of paper lantern,Adjust grip,0
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:0,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,"{""end_frame"": 19, ""num_frames"": 20, ""start_frame"": 0}",Reach for craft items,Look around the table,0
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:1,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,"{""end_frame"": 39, ""num_frames"": 20, ""start_frame"": 20}",Reach for craft items,Look around the table,0
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:2,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,"{""end_frame"": 59, ""num_frames"": 20, ""start_frame"": 40}",Reach for craft items,Approach table,0
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:14,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,"{""end_frame"": 299, ""num_frames"": 20, ""start_frame"": 280}",Sort craft items,Manipulate paper strip,0
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:15,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,"{""end_frame"": 319, ""num_frames"": 20, ""start_frame"": 300}",Sort craft items,Manipulate paper strip,0
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:16,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,"{""end_frame"": 339, ""num_frames"": 20, ""start_frame"": 320}",Sort craft items,Browsing smartphone content,0
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:20,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,"{""end_frame"": 419, ""num_frames"": 20, ""start_frame"": 400}",Move smartphone,Browsing smartphone content,0
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:21,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,"{""end_frame"": 439, ""num_frames"": 20, ""start_frame"": 420}",Move smartphone,Manipulate paper strip,0
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:22,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,"{""end_frame"": 459, ""num_frames"": 20, ""start_frame"": 440}",Move smartphone,Browsing smartphone content,0
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:32,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,"{""end_frame"": 659, ""num_frames"": 20, ""start_frame"": 640}",Place hand on table,Manipulate paper strip,0
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:33,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,"{""end_frame"": 679, ""num_frames"": 20, ""start_frame"": 660}",Place hand on table,Browsing smartphone content,0
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:34,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,"{""end_frame"": 699, ""num_frames"": 20, ""start_frame"": 680}",Place hand on table,Manipulate paper strip,0
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:50,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,"{""end_frame"": 1019, ""num_frames"": 20, ""start_frame"": 1000}",Use smartphone,Browsing smartphone content,0
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:51,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,"{""end_frame"": 1039, ""num_frames"": 20, ""start_frame"": 1020}",Use smartphone,Browsing smartphone content,0
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:70,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,"{""end_frame"": 1419, ""num_frames"": 20, ""start_frame"": 1400}",Browse smartphone screen,Browsing smartphone content,0
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:71,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,"{""end_frame"": 1439, ""num_frames"": 20, ""start_frame"": 1420}",Browse smartphone screen,Browsing smartphone content,0
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:72,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,"{""end_frame"": 1459, ""num_frames"": 20, ""start_frame"": 1440}",Browse smartphone screen,Browsing smartphone content,0
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:100,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,"{""end_frame"": 2019, ""num_frames"": 20, ""start_frame"": 2000}",Scroll smartphone screen,Browsing smartphone content,0
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:101,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,"{""end_frame"": 2039, ""num_frames"": 20, ""start_frame"": 2020}",Scroll smartphone screen,Browsing smartphone content,0
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:102,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,"{""end_frame"": 2059, ""num_frames"": 20, ""start_frame"": 2040}",Scroll smartphone screen,Browsing smartphone content,0
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:132,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,"{""end_frame"": 2659, ""num_frames"": 20, ""start_frame"": 2640}",Put down smartphone,Browsing smartphone content,0
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:133,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,"{""end_frame"": 2679, ""num_frames"": 20, ""start_frame"": 2660}",Put down smartphone,Browsing smartphone content,0
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:134,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,"{""end_frame"": 2699, ""num_frames"": 20, ""start_frame"": 2680}",Put down smartphone,Browsing smartphone content,0
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:184,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,"{""end_frame"": 3699, ""num_frames"": 20, ""start_frame"": 3680}",Place smartphone down,Browsing smartphone content,0
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:185,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,"{""end_frame"": 3719, ""num_frames"": 20, ""start_frame"": 3700}",Place smartphone down,Browsing smartphone content,0
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:186,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,"{""end_frame"": 3739, ""num_frames"": 20, ""start_frame"": 3720}",Place smartphone down,Browsing smartphone content,0
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+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:202,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,"{""end_frame"": 4059, ""num_frames"": 20, ""start_frame"": 4040}",Hold smartphone,Browsing smartphone content,0
+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:220,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,"{""end_frame"": 4419, ""num_frames"": 20, ""start_frame"": 4400}",Manipulate paper strip,Manipulate paper strip,1
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+4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1:qa:222,test,4b02bb38-384a-438a-b5f9-6131d85c34b0__ep1,"{""end_frame"": 4459, ""num_frames"": 20, ""start_frame"": 4440}",Manipulate paper strip,Manipulate paper strip,1
+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:0,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,"{""end_frame"": 19, ""num_frames"": 20, ""start_frame"": 0}",Pick up puzzle piece,"{""action"":""unknown"",""subtask"":""unknown"",""objects"":[]/""contact"":""unknown"",""transition"":""unknown"",""next_action"":""unknown"",""evidence_window"":{""start_frame"":0,""end_frame"":0}}",0
+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:1,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,"{""end_frame"": 39, ""num_frames"": 20, ""start_frame"": 20}",Pick up puzzle piece,"{""action"":""unknown"",""subtask"":""unknown"",""objects"":[]/""contact"":""unknown"",""transition"":""unknown"",""next_action"":""unknown"",""evidence_window"":{""start_frame"":0,""end_frame"":0}}",0
+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:2,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,"{""end_frame"": 59, ""num_frames"": 20, ""start_frame"": 40}",Pick up puzzle piece,"{""action"":""unknown"",""subtask"":""unknown"",""objects"":[]/""contact"":""unknown"",""transition"":""unknown"",""next_action"":""unknown"",""evidence_window"":{""start_frame"":0,""end_frame"":0}}",0
+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:8,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,"{""end_frame"": 179, ""num_frames"": 20, ""start_frame"": 160}",Place piece into puzzle,Adjust hand position,0
+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:9,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,"{""end_frame"": 199, ""num_frames"": 20, ""start_frame"": 180}",Place piece into puzzle,Adjust grip,0
+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:10,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,"{""end_frame"": 219, ""num_frames"": 20, ""start_frame"": 200}",Place piece into puzzle,Adjust Mahjong tile,0
+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:20,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,"{""end_frame"": 419, ""num_frames"": 20, ""start_frame"": 400}",Manipulate puzzle piece,"{""action"":""unknown"",""subtask"":""unknown"",""objects"":[]/""contact"":""unknown"",""transition"":""unknown"",""next_action"":""unknown"",""evidence_window"":{""start_frame"":0,""end_frame"":0}}",0
+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:21,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,"{""end_frame"": 439, ""num_frames"": 20, ""start_frame"": 420}",Manipulate puzzle piece,"{""action"":""unknown"",""subtask"":""unknown"",""objects"":[]/""contact"":""unknown"",""transition"":""unknown"",""next_action"":""unknown"",""evidence_window"":{""start_frame"":0,""end_frame"":0}}",0
+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:22,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,"{""end_frame"": 459, ""num_frames"": 20, ""start_frame"": 440}",Manipulate puzzle piece,"{""action"":""unknown"",""subtask"":""unknown"",""objects"":[]/""contact"":""unknown"",""transition"":""unknown"",""next_action"":""unknown"",""evidence_window"":{""start_frame"":0,""end_frame"":0}}",0
+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:50,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,"{""end_frame"": 1019, ""num_frames"": 20, ""start_frame"": 1000}",Manipulate puzzle pieces,"{""action"":""unknown"",""subtask"":""unknown"",""objects"":[]/""contact"":""unknown"",""transition"":""unknown"",""next_action"":""unknown"",""evidence_window"":{""start_frame"":0,""end_frame"":0}}",0
+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:51,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,"{""end_frame"": 1039, ""num_frames"": 20, ""start_frame"": 1020}",Manipulate puzzle pieces,Adjust Mahjong tile alignment,0
+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:52,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,"{""end_frame"": 1059, ""num_frames"": 20, ""start_frame"": 1040}",Manipulate puzzle pieces,Adjust Mahjong tile alignment,0
+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:90,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,"{""end_frame"": 1819, ""num_frames"": 20, ""start_frame"": 1800}",Place puzzle piece,"{""action"":""unknown"",""subtask"":""unknown"",""objects"":[]/""contact"":""unknown"",""transition"":""unknown"",""next_action"":""unknown"",""evidence_window"":{""start_frame"":0,""end_frame"":0}}",0
+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:91,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,"{""end_frame"": 1839, ""num_frames"": 20, ""start_frame"": 1820}",Place puzzle piece,Adjust Mahjong tile,0
+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:92,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,"{""end_frame"": 1859, ""num_frames"": 20, ""start_frame"": 1840}",Place puzzle piece,unknown,0
+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:100,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,"{""end_frame"": 2019, ""num_frames"": 20, ""start_frame"": 2000}",Observe puzzle progress,Adjust position,0
+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:101,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,"{""end_frame"": 2039, ""num_frames"": 20, ""start_frame"": 2020}",Observe puzzle progress,"{""action"":""unknown"",""subtask"":""unknown"",""objects"":[]/""contact"":""unknown"",""transition"":""unknown"",""next_action"":""unknown"",""evidence_window"":{""start_frame"":0,""end_frame"":0}}",0
+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:102,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,"{""end_frame"": 2059, ""num_frames"": 20, ""start_frame"": 2040}",Observe puzzle progress,"{""action"":""unknown"",""subtask"":""unknown"",""objects"":[]/""contact"":""unknown"",""transition"":""unknown"",""next_action"":""unknown"",""evidence_window"":{""start_frame"":0,""end_frame"":0}}",0
+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:120,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,"{""end_frame"": 2419, ""num_frames"": 20, ""start_frame"": 2400}",Search for puzzle piece,"{""action"":""unknown"",""subtask"":""unknown"",""objects"":[]/""contact"":""unknown"",""transition"":""unknown"",""next_action"":""unknown"",""evidence_window"":{""start_frame"":0,""end_frame"":0}}",0
+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:121,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,"{""end_frame"": 2439, ""num_frames"": 20, ""start_frame"": 2420}",Search for puzzle piece,unknown,0
+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:140,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,"{""end_frame"": 2819, ""num_frames"": 20, ""start_frame"": 2800}",Release puzzle piece,"{""action"":""unknown"",""subtask"":""unknown"",""objects"":[]/""contact"":""unknown"",""transition"":""unknown"",""next_action"":""unknown"",""evidence_window"":{""start_frame"":0,""end_frame"":0}}",0
+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:141,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,"{""end_frame"": 2839, ""num_frames"": 20, ""start_frame"": 2820}",Release puzzle piece,Adjust Mahjong tile,0
+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:144,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,"{""end_frame"": 2899, ""num_frames"": 20, ""start_frame"": 2880}",Adjust puzzle piece,"{""action"":""unknown"",""subtask"":""unknown"",""objects"":[]/""contact"":""unknown"",""transition"":""unknown"",""next_action"":""unknown"",""evidence_window"":{""start_frame"":0,""end_frame"":0}}",0
+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:145,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,"{""end_frame"": 2919, ""num_frames"": 20, ""start_frame"": 2900}",Adjust puzzle piece,"{""action"":""unknown"",""subtask"":""unknown"",""objects"":[]/""contact"":""unknown"",""transition"":""unknown"",""next_action"":""unknown"",""evidence_window"":{""start_frame"":0,""end_frame"":0}}",0
+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:146,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,"{""end_frame"": 2939, ""num_frames"": 20, ""start_frame"": 2920}",Adjust puzzle piece,"{""action"":""unknown"",""subtask"":""unknown"",""objects"":[]/""contact"":""unknown"",""transition"":""unknown"",""next_action"":""unknown"",""evidence_window"":{""start_frame"":0,""end_frame"":0}}",0
+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:150,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,"{""end_frame"": 3019, ""num_frames"": 20, ""start_frame"": 3000}",Reach for puzzle piece,unknown,0
+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:151,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,"{""end_frame"": 3039, ""num_frames"": 20, ""start_frame"": 3020}",Reach for puzzle piece,Adjusting and placing down paper pieces,0
+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:160,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,"{""end_frame"": 3219, ""num_frames"": 20, ""start_frame"": 3200}",Attempt to fit puzzle piece,unknown,0
+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:161,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,"{""end_frame"": 3239, ""num_frames"": 20, ""start_frame"": 3220}",Attempt to fit puzzle piece,unknown,0
+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:162,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,"{""end_frame"": 3259, ""num_frames"": 20, ""start_frame"": 3240}",Attempt to fit puzzle piece,"{""action"":""unknown"",""subtask"":""unknown"",""objects"":[]/""contact"":""unknown"",""transition"":""unknown"",""next_action"":""unknown"",""evidence_window"":{""start_frame"":0,""end_frame"":0}}",0
+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:190,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,"{""end_frame"": 3819, ""num_frames"": 20, ""start_frame"": 3800}",Sort puzzle pieces,"{""action"":""unknown"",""subtask"":""unknown"",""objects"":[]/""contact"":""unknown"",""transition"":""unknown"",""next_action"":""unknown"",""evidence_window"":{""start_frame"":0,""end_frame"":0}}",0
+5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6:qa:191,test,5399ef86-4df9-49bc-809f-8f4f92f9e659__ep6,"{""end_frame"": 3839, ""num_frames"": 20, ""start_frame"": 3820}",Sort puzzle pieces,"{""action"":""unknown"",""subtask"":""unknown"",""objects"":[]/""contact"":""unknown"",""transition"":""unknown"",""next_action"":""unknown"",""evidence_window"":{""start_frame"":0,""end_frame"":0}}",0
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:0,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,"{""end_frame"": 19, ""num_frames"": 20, ""start_frame"": 0}",Walking across the room,unknown,0
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:20,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,"{""end_frame"": 419, ""num_frames"": 20, ""start_frame"": 400}",Approaching the table,Gather cardboard pieces,0
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:21,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,"{""end_frame"": 439, ""num_frames"": 20, ""start_frame"": 420}",Approaching the table,Gather cardboard pieces,0
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:28,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,"{""end_frame"": 579, ""num_frames"": 20, ""start_frame"": 560}",Preparing to craft,Manipulate paper strip,0
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:29,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,"{""end_frame"": 599, ""num_frames"": 20, ""start_frame"": 580}",Preparing to craft,Adjust Mahjong tile,0
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:34,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,"{""end_frame"": 699, ""num_frames"": 20, ""start_frame"": 680}",Picking up crafting material,Browsing smartphone content,0
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:35,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,"{""end_frame"": 719, ""num_frames"": 20, ""start_frame"": 700}",Picking up crafting material,Manipulate paper strip,0
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:40,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,"{""end_frame"": 819, ""num_frames"": 20, ""start_frame"": 800}",Use phone,Browsing smartphone content,0
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:41,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,"{""end_frame"": 839, ""num_frames"": 20, ""start_frame"": 820}",Use phone,Browsing smartphone content,0
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:70,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,"{""end_frame"": 1419, ""num_frames"": 20, ""start_frame"": 1400}",Pick up small piece of material,Browsing smartphone content,0
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:71,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,"{""end_frame"": 1439, ""num_frames"": 20, ""start_frame"": 1420}",Pick up small piece of material,Release paper strip,0
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:74,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,"{""end_frame"": 1499, ""num_frames"": 20, ""start_frame"": 1480}",Manipulate material,Fold paper strip,0
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:75,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,"{""end_frame"": 1519, ""num_frames"": 20, ""start_frame"": 1500}",Manipulate material,Release paper strip,0
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:82,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,"{""end_frame"": 1659, ""num_frames"": 20, ""start_frame"": 1640}",Place material,Manipulate paper strip,0
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:83,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,"{""end_frame"": 1679, ""num_frames"": 20, ""start_frame"": 1660}",Place material,Fold paper strip,0
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:90,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,"{""end_frame"": 1819, ""num_frames"": 20, ""start_frame"": 1800}",Manipulate yellow strip,Manipulate paper strip,0
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:91,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,"{""end_frame"": 1839, ""num_frames"": 20, ""start_frame"": 1820}",Manipulate yellow strip,Manipulate paper strip,0
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:120,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,"{""end_frame"": 2419, ""num_frames"": 20, ""start_frame"": 2400}",Manipulating paper strips,Manipulate paper strip,0
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:121,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,"{""end_frame"": 2439, ""num_frames"": 20, ""start_frame"": 2420}",Manipulating paper strips,Manipulate paper strip,0
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:150,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,"{""end_frame"": 3019, ""num_frames"": 20, ""start_frame"": 3000}",Manipulate paper strip,Fold paper strip,0
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:151,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,"{""end_frame"": 3039, ""num_frames"": 20, ""start_frame"": 3020}",Manipulate paper strip,Manipulate paper strip,1
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:190,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,"{""end_frame"": 3819, ""num_frames"": 20, ""start_frame"": 3800}",Manipulate bead,Fold paper strip,0
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:191,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,"{""end_frame"": 3839, ""num_frames"": 20, ""start_frame"": 3820}",Manipulate bead,Manipulate paper strip,0
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:220,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,"{""end_frame"": 4419, ""num_frames"": 20, ""start_frame"": 4400}",Manipulate beads,Manipulate paper strip,0
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:221,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,"{""end_frame"": 4439, ""num_frames"": 20, ""start_frame"": 4420}",Manipulate beads,Sort and combine bead piles,0
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:240,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,"{""end_frame"": 4819, ""num_frames"": 20, ""start_frame"": 4800}",Use phone while crafting,Browsing smartphone content,0
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:246,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,"{""end_frame"": 4939, ""num_frames"": 20, ""start_frame"": 4920}",Place phone down,:unknown,0
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:247,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,"{""end_frame"": 4959, ""num_frames"": 20, ""start_frame"": 4940}",Place phone down,Fold paper strip,0
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:250,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,"{""end_frame"": 5019, ""num_frames"": 20, ""start_frame"": 5000}",Hold and manipulate paper strip,Manipulate paper strip,0
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:251,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,"{""end_frame"": 5039, ""num_frames"": 20, ""start_frame"": 5020}",Hold and manipulate paper strip,Fold paper strip into star,0
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:296,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,"{""end_frame"": 5939, ""num_frames"": 20, ""start_frame"": 5920}",Interact with smartphone,Browsing smartphone content,0
+b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1:qa:297,test,b750fab3-7fbb-43a0-b451-c64c4d4a64da__ep1,"{""end_frame"": 5959, ""num_frames"": 20, ""start_frame"": 5940}",Interact with smartphone,Browsing smartphone content,0
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:0,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,"{""end_frame"": 19, ""num_frames"": 20, ""start_frame"": 0}",Sort buttons,Adjust bead piles,0
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:1,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,"{""end_frame"": 39, ""num_frames"": 20, ""start_frame"": 20}",Sort buttons,Arrange buttons,0
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:2,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,"{""end_frame"": 59, ""num_frames"": 20, ""start_frame"": 40}",Sort buttons,Arrange buttons,0
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:20,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,"{""end_frame"": 419, ""num_frames"": 20, ""start_frame"": 400}",Arrange buttons,Manipulate colorful pieces,0
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:21,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,"{""end_frame"": 439, ""num_frames"": 20, ""start_frame"": 420}",Arrange buttons,Manipulate paper strip,0
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:22,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,"{""end_frame"": 459, ""num_frames"": 20, ""start_frame"": 440}",Arrange buttons,Sort and combine bead piles,0
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:23,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,"{""end_frame"": 479, ""num_frames"": 20, ""start_frame"": 460}",Arrange buttons,Adjust red button,0
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:50,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,"{""end_frame"": 1019, ""num_frames"": 20, ""start_frame"": 1000}",Arrange buttons in a line,Manipulate paper strip,0
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:51,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,"{""end_frame"": 1039, ""num_frames"": 20, ""start_frame"": 1020}",Arrange buttons in a line,Manipulate paper strip,0
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:52,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,"{""end_frame"": 1059, ""num_frames"": 20, ""start_frame"": 1040}",Arrange buttons in a line,Manipulate paper strip,0
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:53,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,"{""end_frame"": 1079, ""num_frames"": 20, ""start_frame"": 1060}",Arrange buttons in a line,Manipulate paper strip,0
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:70,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,"{""end_frame"": 1419, ""num_frames"": 20, ""start_frame"": 1400}",Sort and arrange buttons,Manipulate paper strip,0
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:71,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,"{""end_frame"": 1439, ""num_frames"": 20, ""start_frame"": 1420}",Sort and arrange buttons,Manipulate paper strip,0
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:72,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,"{""end_frame"": 1459, ""num_frames"": 20, ""start_frame"": 1440}",Sort and arrange buttons,Adjust Mahjong tile,0
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:100,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,"{""end_frame"": 2019, ""num_frames"": 20, ""start_frame"": 2000}",Pick up button,Manipulate colorful pieces,0
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:101,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,"{""end_frame"": 2039, ""num_frames"": 20, ""start_frame"": 2020}",Pick up button,Manipulate colorful pieces,0
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:102,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,"{""end_frame"": 2059, ""num_frames"": 20, ""start_frame"": 2040}",Pick up button,Manipulate colorful pieces,0
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:108,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,"{""end_frame"": 2179, ""num_frames"": 20, ""start_frame"": 2160}",Place button,Manipulate paper strip,0
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:109,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,"{""end_frame"": 2199, ""num_frames"": 20, ""start_frame"": 2180}",Place button,Fold paper strip,0
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:110,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,"{""end_frame"": 2219, ""num_frames"": 20, ""start_frame"": 2200}",Place button,Manipulate colorful pieces,0
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:120,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,"{""end_frame"": 2419, ""num_frames"": 20, ""start_frame"": 2400}",Sort button,Adjust Mahjong tile,0
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:121,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,"{""end_frame"": 2439, ""num_frames"": 20, ""start_frame"": 2420}",Sort button,Manipulate paper strip,0
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:122,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,"{""end_frame"": 2459, ""num_frames"": 20, ""start_frame"": 2440}",Sort button,Adjust bead piles,0
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:150,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,"{""end_frame"": 3019, ""num_frames"": 20, ""start_frame"": 3000}",Sort and adjust button line,Manipulate paper strip,0
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:151,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,"{""end_frame"": 3039, ""num_frames"": 20, ""start_frame"": 3020}",Sort and adjust button line,Manipulate paper strip,0
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:152,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,"{""end_frame"": 3059, ""num_frames"": 20, ""start_frame"": 3040}",Sort and adjust button line,Manipulate paper strip,0
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:170,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,"{""end_frame"": 3419, ""num_frames"": 20, ""start_frame"": 3400}",Use smartphone,Browsing smartphone content,0
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:171,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,"{""end_frame"": 3439, ""num_frames"": 20, ""start_frame"": 3420}",Use smartphone,Browsing smartphone content,0
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:172,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,"{""end_frame"": 3459, ""num_frames"": 20, ""start_frame"": 3440}",Use smartphone,Browsing smartphone content,0
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:200,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,"{""end_frame"": 4019, ""num_frames"": 20, ""start_frame"": 4000}",Sort and place buttons,Manipulate paper strip,0
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:201,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,"{""end_frame"": 4039, ""num_frames"": 20, ""start_frame"": 4020}",Sort and place buttons,Adjust Mahjong tile,0
+877779cd-25f3-4293-a3c4-39067dd9558c__ep4:qa:202,test,877779cd-25f3-4293-a3c4-39067dd9558c__ep4,"{""end_frame"": 4059, ""num_frames"": 20, ""start_frame"": 4040}",Sort and place buttons,Adjust Mahjong tile,0
+1796b943-caad-43c6-b9bd-80b8d601f37d__ep1:qa:0,test,1796b943-caad-43c6-b9bd-80b8d601f37d__ep1,"{""end_frame"": 19, ""num_frames"": 20, ""start_frame"": 0}",Walking in the hallway,unknown,0
+1796b943-caad-43c6-b9bd-80b8d601f37d__ep1:qa:1,test,1796b943-caad-43c6-b9bd-80b8d601f37d__ep1,"{""end_frame"": 39, ""num_frames"": 20, ""start_frame"": 20}",Walking in the hallway,Approach table,0
+1796b943-caad-43c6-b9bd-80b8d601f37d__ep1:qa:2,test,1796b943-caad-43c6-b9bd-80b8d601f37d__ep1,"{""end_frame"": 59, ""num_frames"": 20, ""start_frame"": 40}",Walking in the hallway,Adjust Mahjong tile,0
+1796b943-caad-43c6-b9bd-80b8d601f37d__ep1:qa:10,test,1796b943-caad-43c6-b9bd-80b8d601f37d__ep1,"{""end_frame"": 219, ""num_frames"": 20, ""start_frame"": 200}",Approaching and pressing the door switch,Pick up item to pack,0
+1796b943-caad-43c6-b9bd-80b8d601f37d__ep1:qa:11,test,1796b943-caad-43c6-b9bd-80b8d601f37d__ep1,"{""end_frame"": 239, ""num_frames"": 20, ""start_frame"": 220}",Approaching and pressing the door switch,Gesturing,0
+1796b943-caad-43c6-b9bd-80b8d601f37d__ep1:qa:12,test,1796b943-caad-43c6-b9bd-80b8d601f37d__ep1,"{""end_frame"": 259, ""num_frames"": 20, ""start_frame"": 240}",Approaching and pressing the door switch,Greeting participants,0
+1796b943-caad-43c6-b9bd-80b8d601f37d__ep1:qa:13,test,1796b943-caad-43c6-b9bd-80b8d601f37d__ep1,"{""end_frame"": 279, ""num_frames"": 20, ""start_frame"": 260}",Approaching and pressing the door switch,Organizing items,0
+1796b943-caad-43c6-b9bd-80b8d601f37d__ep1:qa:20,test,1796b943-caad-43c6-b9bd-80b8d601f37d__ep1,"{""end_frame"": 419, ""num_frames"": 20, ""start_frame"": 400}",Entering the VR training room,Approaching the table,0
+1796b943-caad-43c6-b9bd-80b8d601f37d__ep1:qa:21,test,1796b943-caad-43c6-b9bd-80b8d601f37d__ep1,"{""end_frame"": 439, ""num_frames"": 20, ""start_frame"": 420}",Entering the VR training room,unknown,0
+1796b943-caad-43c6-b9bd-80b8d601f37d__ep1:qa:22,test,1796b943-caad-43c6-b9bd-80b8d601f37d__ep1,"{""end_frame"": 459, ""num_frames"": 20, ""start_frame"": 440}",Entering the VR training room,Browsing smartphone content,0
+1796b943-caad-43c6-b9bd-80b8d601f37d__ep1:qa:28,test,1796b943-caad-43c6-b9bd-80b8d601f37d__ep1,"{""end_frame"": 579, ""num_frames"": 20, ""start_frame"": 560}",Greeting/acknowledging participants,Browsing smartphone content,0
+1796b943-caad-43c6-b9bd-80b8d601f37d__ep1:qa:29,test,1796b943-caad-43c6-b9bd-80b8d601f37d__ep1,"{""end_frame"": 599, ""num_frames"": 20, ""start_frame"": 580}",Greeting/acknowledging participants,Interacting with phone,0
+1796b943-caad-43c6-b9bd-80b8d601f37d__ep1:qa:30,test,1796b943-caad-43c6-b9bd-80b8d601f37d__ep1,"{""end_frame"": 619, ""num_frames"": 20, ""start_frame"": 600}",Greeting/acknowledging participants,Interacting with phone,0
+1796b943-caad-43c6-b9bd-80b8d601f37d__ep1:qa:40,test,1796b943-caad-43c6-b9bd-80b8d601f37d__ep1,"{""end_frame"": 819, ""num_frames"": 20, ""start_frame"": 800}",Move through the training room,Gesturing,0
+1796b943-caad-43c6-b9bd-80b8d601f37d__ep1:qa:41,test,1796b943-caad-43c6-b9bd-80b8d601f37d__ep1,"{""end_frame"": 839, ""num_frames"": 20, ""start_frame"": 820}",Move through the training room,"{""action"": ""Interacting with phone"", ""subtask"": ""Browsing and interacting with phone interface"", ""objects"": [""smartphone"", ""person"", ""table"", ""chair"", ""wall"", ""floor"", ""ceiling"", ""lighting fixture"", ""door"", ""window"", ""poster"", ""sign"", ""banner"", ""plant"", ""carpet"", ""railing"", ""staircase"", ""elevator"", ""escalator"", ""handrail"",",0
+1796b943-caad-43c6-b9bd-80b8d601f37d__ep1:qa:42,test,1796b943-caad-43c6-b9bd-80b8d601f37d__ep1,"{""end_frame"": 859, ""num_frames"": 20, ""start_frame"": 840}",Move through the training room,Browsing smartphone content,0
+1796b943-caad-43c6-b9bd-80b8d601f37d__ep1:qa:50,test,1796b943-caad-43c6-b9bd-80b8d601f37d__ep1,"{""end_frame"": 1019, ""num_frames"": 20, ""start_frame"": 1000}",Manipulate plastic strips,Adjust Mahjong tile,0
+1796b943-caad-43c6-b9bd-80b8d601f37d__ep1:qa:51,test,1796b943-caad-43c6-b9bd-80b8d601f37d__ep1,"{""end_frame"": 1039, ""num_frames"": 20, ""start_frame"": 1020}",Manipulate plastic strips,Approach table,0
+1796b943-caad-43c6-b9bd-80b8d601f37d__ep1:qa:52,test,1796b943-caad-43c6-b9bd-80b8d601f37d__ep1,"{""end_frame"": 1059, ""num_frames"": 20, ""start_frame"": 1040}",Manipulate plastic strips,Adjust Mahjong tile,0
+1796b943-caad-43c6-b9bd-80b8d601f37d__ep1:qa:70,test,1796b943-caad-43c6-b9bd-80b8d601f37d__ep1,"{""end_frame"": 1419, ""num_frames"": 20, ""start_frame"": 1400}",Manipulate plastic strip,Manipulate paper strip,0
+1796b943-caad-43c6-b9bd-80b8d601f37d__ep1:qa:71,test,1796b943-caad-43c6-b9bd-80b8d601f37d__ep1,"{""end_frame"": 1439, ""num_frames"": 20, ""start_frame"": 1420}",Manipulate plastic strip,Fold paper strip,0
+1796b943-caad-43c6-b9bd-80b8d601f37d__ep1:qa:72,test,1796b943-caad-43c6-b9bd-80b8d601f37d__ep1,"{""end_frame"": 1459, ""num_frames"": 20, ""start_frame"": 1440}",Manipulate plastic strip,Fold paper strip into star,0
+1796b943-caad-43c6-b9bd-80b8d601f37d__ep1:qa:90,test,1796b943-caad-43c6-b9bd-80b8d601f37d__ep1,"{""end_frame"": 1819, ""num_frames"": 20, ""start_frame"": 1800}",Hold and bend plastic strip,Fold paper strip,0
+1796b943-caad-43c6-b9bd-80b8d601f37d__ep1:qa:91,test,1796b943-caad-43c6-b9bd-80b8d601f37d__ep1,"{""end_frame"": 1839, ""num_frames"": 20, ""start_frame"": 1820}",Hold and bend plastic strip,Fold paper strip,0
+1796b943-caad-43c6-b9bd-80b8d601f37d__ep1:qa:92,test,1796b943-caad-43c6-b9bd-80b8d601f37d__ep1,"{""end_frame"": 1859, ""num_frames"": 20, ""start_frame"": 1840}",Hold and bend plastic strip,Fold paper strip,0
+1796b943-caad-43c6-b9bd-80b8d601f37d__ep1:qa:100,test,1796b943-caad-43c6-b9bd-80b8d601f37d__ep1,"{""end_frame"": 2019, ""num_frames"": 20, ""start_frame"": 2000}",Bend and manipulate plastic strip,Fold paper strip,0
+1796b943-caad-43c6-b9bd-80b8d601f37d__ep1:qa:101,test,1796b943-caad-43c6-b9bd-80b8d601f37d__ep1,"{""end_frame"": 2039, ""num_frames"": 20, ""start_frame"": 2020}",Bend and manipulate plastic strip,Fold paper strip,0
+1796b943-caad-43c6-b9bd-80b8d601f37d__ep1:qa:102,test,1796b943-caad-43c6-b9bd-80b8d601f37d__ep1,"{""end_frame"": 2059, ""num_frames"": 20, ""start_frame"": 2040}",Bend and manipulate plastic strip,Fold paper strip,0
+1796b943-caad-43c6-b9bd-80b8d601f37d__ep1:qa:103,test,1796b943-caad-43c6-b9bd-80b8d601f37d__ep1,"{""end_frame"": 2079, ""num_frames"": 20, ""start_frame"": 2060}",Bend and manipulate plastic strip,Manipulate paper strip,0
+1796b943-caad-43c6-b9bd-80b8d601f37d__ep1:qa:140,test,1796b943-caad-43c6-b9bd-80b8d601f37d__ep1,"{""end_frame"": 2819, ""num_frames"": 20, ""start_frame"": 2800}",Fold plastic strip,Fold paper strip,0
+1796b943-caad-43c6-b9bd-80b8d601f37d__ep1:qa:141,test,1796b943-caad-43c6-b9bd-80b8d601f37d__ep1,"{""end_frame"": 2839, ""num_frames"": 20, ""start_frame"": 2820}",Fold plastic strip,Fold paper strip,0
+1796b943-caad-43c6-b9bd-80b8d601f37d__ep1:qa:142,test,1796b943-caad-43c6-b9bd-80b8d601f37d__ep1,"{""end_frame"": 2859, ""num_frames"": 20, ""start_frame"": 2840}",Fold plastic strip,Adjust Mahjong tile,0
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:0,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,"{""end_frame"": 19, ""num_frames"": 20, ""start_frame"": 0}",Manipulate paper decoration,Browsing smartphone content,0
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:1,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,"{""end_frame"": 39, ""num_frames"": 20, ""start_frame"": 20}",Manipulate paper decoration,Browsing smartphone content,0
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:2,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,"{""end_frame"": 59, ""num_frames"": 20, ""start_frame"": 40}",Manipulate paper decoration,Browsing smartphone content,0
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:3,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,"{""end_frame"": 79, ""num_frames"": 20, ""start_frame"": 60}",Manipulate paper decoration,Browsing smartphone content,0
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:4,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,"{""end_frame"": 99, ""num_frames"": 20, ""start_frame"": 80}",Manipulate paper decoration,Browsing smartphone content,0
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:40,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,"{""end_frame"": 819, ""num_frames"": 20, ""start_frame"": 800}",Manipulate paper edge,Manipulate paper strip,0
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:41,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,"{""end_frame"": 839, ""num_frames"": 20, ""start_frame"": 820}",Manipulate paper edge,Browsing smartphone content,0
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:42,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,"{""end_frame"": 859, ""num_frames"": 20, ""start_frame"": 840}",Manipulate paper edge,Manipulate paper strip,0
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:43,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,"{""end_frame"": 879, ""num_frames"": 20, ""start_frame"": 860}",Manipulate paper edge,Fold paper strip,0
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:44,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,"{""end_frame"": 899, ""num_frames"": 20, ""start_frame"": 880}",Manipulate paper edge,Browsing smartphone content,0
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:60,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,"{""end_frame"": 1219, ""num_frames"": 20, ""start_frame"": 1200}",Placing paper strip,Browsing smartphone content,0
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:61,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,"{""end_frame"": 1239, ""num_frames"": 20, ""start_frame"": 1220}",Placing paper strip,Browsing smartphone content,0
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:62,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,"{""end_frame"": 1259, ""num_frames"": 20, ""start_frame"": 1240}",Placing paper strip,Browsing smartphone content,0
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:63,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,"{""end_frame"": 1279, ""num_frames"": 20, ""start_frame"": 1260}",Placing paper strip,Adjust Mahjong tile,0
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:90,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,"{""end_frame"": 1819, ""num_frames"": 20, ""start_frame"": 1800}",Manipulate paper strip,Manipulate paper strip,1
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:91,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,"{""end_frame"": 1839, ""num_frames"": 20, ""start_frame"": 1820}",Manipulate paper strip,Manipulate paper strip,1
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:92,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,"{""end_frame"": 1859, ""num_frames"": 20, ""start_frame"": 1840}",Manipulate paper strip,Manipulate paper strip,1
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:93,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,"{""end_frame"": 1879, ""num_frames"": 20, ""start_frame"": 1860}",Manipulate paper strip,Browsing smartphone content,0
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:94,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,"{""end_frame"": 1899, ""num_frames"": 20, ""start_frame"": 1880}",Manipulate paper strip,Manipulate paper strip,1
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:146,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,"{""end_frame"": 2939, ""num_frames"": 20, ""start_frame"": 2920}",Securing paper structure,Manipulate paper strip,0
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:147,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,"{""end_frame"": 2959, ""num_frames"": 20, ""start_frame"": 2940}",Securing paper structure,Manipulate paper strip,0
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:148,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,"{""end_frame"": 2979, ""num_frames"": 20, ""start_frame"": 2960}",Securing paper structure,Manipulate paper strip,0
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:149,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,"{""end_frame"": 2999, ""num_frames"": 20, ""start_frame"": 2980}",Securing paper structure,Manipulate paper strip,0
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:170,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,"{""end_frame"": 3419, ""num_frames"": 20, ""start_frame"": 3400}",Manipulate adhesive strip,Browsing smartphone content,0
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:171,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,"{""end_frame"": 3439, ""num_frames"": 20, ""start_frame"": 3420}",Manipulate adhesive strip,Browsing smartphone content,0
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:172,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,"{""end_frame"": 3459, ""num_frames"": 20, ""start_frame"": 3440}",Manipulate adhesive strip,Browsing smartphone content,0
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:173,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,"{""end_frame"": 3479, ""num_frames"": 20, ""start_frame"": 3460}",Manipulate adhesive strip,Browsing smartphone content,0
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:174,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,"{""end_frame"": 3499, ""num_frames"": 20, ""start_frame"": 3480}",Manipulate adhesive strip,Browsing smartphone content,0
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:240,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,"{""end_frame"": 4819, ""num_frames"": 20, ""start_frame"": 4800}",Secure paper edges with adhesive,Browsing smartphone content,0
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:241,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,"{""end_frame"": 4839, ""num_frames"": 20, ""start_frame"": 4820}",Secure paper edges with adhesive,Browsing smartphone content,0
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:242,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,"{""end_frame"": 4859, ""num_frames"": 20, ""start_frame"": 4840}",Secure paper edges with adhesive,Browsing smartphone content,0
+ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2:qa:243,test,ba18b7c1-21ff-45da-8452-41acce7fc8de__ep2,"{""end_frame"": 4879, ""num_frames"": 20, ""start_frame"": 4860}",Secure paper edges with adhesive,Browsing smartphone content,0
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:0,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,"{""end_frame"": 19, ""num_frames"": 20, ""start_frame"": 0}",Sort beads,Write on paper,0
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:1,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,"{""end_frame"": 39, ""num_frames"": 20, ""start_frame"": 20}",Sort beads,Sort star-shaped beads,0
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:14,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,"{""end_frame"": 299, ""num_frames"": 20, ""start_frame"": 280}",Record count,Fold paper strip,0
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:15,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,"{""end_frame"": 319, ""num_frames"": 20, ""start_frame"": 300}",Record count,Fold paper strip,0
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:50,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,"{""end_frame"": 1019, ""num_frames"": 20, ""start_frame"": 1000}",Sort beads and write count,Arrange buttons,0
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:100,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,"{""end_frame"": 2019, ""num_frames"": 20, ""start_frame"": 2000}",Counting and organizing beads,Arrange buttons,0
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:101,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,"{""end_frame"": 2039, ""num_frames"": 20, ""start_frame"": 2020}",Counting and organizing beads,Sort and arrange buttons,0
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:120,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,"{""end_frame"": 2419, ""num_frames"": 20, ""start_frame"": 2400}",Pick up star bead,Sort star-shaped beads,0
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:121,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,"{""end_frame"": 2439, ""num_frames"": 20, ""start_frame"": 2420}",Pick up star bead,Arrange buttons,0
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:128,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,"{""end_frame"": 2579, ""num_frames"": 20, ""start_frame"": 2560}",Place and count bead,Manipulate paper strip,0
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:129,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,"{""end_frame"": 2599, ""num_frames"": 20, ""start_frame"": 2580}",Place and count bead,Sort beads by color,0
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:150,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,"{""end_frame"": 3019, ""num_frames"": 20, ""start_frame"": 3000}",Sort star-shaped beads,Manipulate paper strip,0
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:164,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,"{""end_frame"": 3299, ""num_frames"": 20, ""start_frame"": 3280}",Write count on paper,Fold paper strip,0
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:180,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,"{""end_frame"": 3619, ""num_frames"": 20, ""start_frame"": 3600}",Hold beads,Sort and combine bead piles,0
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:181,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,"{""end_frame"": 3639, ""num_frames"": 20, ""start_frame"": 3620}",Hold beads,Sort and arrange buttons,0
+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:200,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,"{""end_frame"": 4019, ""num_frames"": 20, ""start_frame"": 4000}",Arrange star beads,Arrange buttons,0
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+b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3:qa:220,test,b6579cb5-0a71-4ca6-8808-1e2700be05c7__ep3,"{""end_frame"": 4419, ""num_frames"": 20, ""start_frame"": 4400}",Counting star beads,Arrange buttons,0
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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": "2026-06-18T16:30:30+00:00",
+  "generated_at_utc": "2026-06-18T18:16:09+00:00",
   "known_limitation": "The metric is comparable as evidence that the branch emitted a reconstruction objective, but it should not be read as an R2 head trained on the exact simple baseline feature split.",
   "metric_key": "feature_reconstruction_quality",
   "model_id": "cosmos3_nano_future_window",

results/omni_finetune/model_output_task_probes_20260616/summary.json

@@ -1,5 +1,5 @@
 {
-  "generated_at_utc": "2026-06-18T16:30:30+00:00",
+  "generated_at_utc": "2026-06-18T18:16:09+00:00",
   "methods": {
     "cosmos3_nano_future_window": {
       "label": "Cosmos3-Nano Future Window",
@@ -39,6 +39,12 @@
           "source_metrics_json": "results/omni_finetune/model_output_task_probes_20260616/action_object_relation/cosmos3_super_reasoner/metrics.json",
           "valid_pred_relation_rate": 0.49327354260089684
         },
+        "long_horizon_next_action": {
+          "long_horizon_next_action_accuracy": 0.03794642857142857,
+          "long_horizon_next_action_macro_f1": 0.008807588075880758,
+          "scored_rows": 448,
+          "source_metrics_json": "results/omni_finetune/model_output_task_probes_20260616/long_horizon_next_action/cosmos3_super_reasoner/metrics.json"
+        },
         "time_to_transition": {
           "scored_rows": 448,
           "source_metrics_json": "results/omni_finetune/model_output_task_probes_20260616/time_to_transition/cosmos3_super_reasoner/metrics.json",
@@ -66,7 +72,7 @@
     }
   },
   "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": 5,
+  "scored_method_task_count_added": 6,
   "status": "pass",
   "task_ids_added_to_matrix": [
     "action_object_relation",

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": "2026-06-18T15:25:22+00:00",
+  "generated_at_utc": "2026-06-18T18:16:09+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",