Datasets:

cy0307
/

ropedia-xperience-10m-task-suite-artifacts

@@ -31,7 +31,7 @@ Public figures, diagrams, charts, and derived modality thumbnails. Raw Xperience
 | Research direction coverage chart | `docs/assets/charts/research_direction_coverage.svg` | 1180 x 700 | `scripts/generate_visualizations.py` | Four-track coverage map for Ropedia research directions. |
 | Research direction extension chart | `docs/assets/charts/research_direction_extension_tasks.svg` | 1420 x 920 | `scripts/generate_visualizations.py` | Four coded extension probes, one per Ropedia research direction. |
 | Tasks 13-20 baseline chart | `docs/assets/charts/tier2_task_suite.svg` | 1440 x 832 | `scripts/tier2_task_suite.py` | Eight additional sample-supported tasks in the unified 20-task suite with aligned minimal and neural baseline metrics. |
-| Unified 20-task model radar | `docs/assets/charts/unified_task_model_radar.svg` | 1720 x 1360 | `scripts/build_unified_task_model_radar.py` | Twenty-axis direction-aware comparison of minimal and neural MLP baselines, with 128-episode metadata, Qwen3, and Cosmos task-aligned overlay points and branch notes. |
 | Feature block chart | `docs/assets/charts/feature_blocks.svg` | 1100 x 760 | `scripts/generate_visualizations.py` | Feature allocation by modality block. |
 | Minimal task score chart | `docs/assets/charts/episode_task_scores.svg` | 1100 x 556 | `scripts/generate_visualizations.py` | Minimal baseline metric snapshot across the task suite. |
 | Cross-modal retrieval chart | `docs/assets/charts/cross_modal_retrieval.svg` | 1100 x 284 | `scripts/generate_visualizations.py` | Retrieval behavior chart for the cross-modal task. |

 | Research direction coverage chart | `docs/assets/charts/research_direction_coverage.svg` | 1180 x 700 | `scripts/generate_visualizations.py` | Four-track coverage map for Ropedia research directions. |
 | Research direction extension chart | `docs/assets/charts/research_direction_extension_tasks.svg` | 1420 x 920 | `scripts/generate_visualizations.py` | Four coded extension probes, one per Ropedia research direction. |
 | Tasks 13-20 baseline chart | `docs/assets/charts/tier2_task_suite.svg` | 1440 x 832 | `scripts/tier2_task_suite.py` | Eight additional sample-supported tasks in the unified 20-task suite with aligned minimal and neural baseline metrics. |
+| Unified 20-task model radar | `docs/assets/charts/unified_task_model_radar.svg` | 1720 x 1500 | `scripts/build_unified_task_model_radar.py` | Twenty-axis direction-aware comparison of minimal and neural MLP baselines, with 128-episode metadata, Qwen3, and Cosmos task-aligned overlay points and branch notes. |
 | Feature block chart | `docs/assets/charts/feature_blocks.svg` | 1100 x 760 | `scripts/generate_visualizations.py` | Feature allocation by modality block. |
 | Minimal task score chart | `docs/assets/charts/episode_task_scores.svg` | 1100 x 556 | `scripts/generate_visualizations.py` | Minimal baseline metric snapshot across the task suite. |
 | Cross-modal retrieval chart | `docs/assets/charts/cross_modal_retrieval.svg` | 1100 x 284 | `scripts/generate_visualizations.py` | Retrieval behavior chart for the cross-modal task. |

PROJECT_README.md CHANGED Viewed

@@ -120,9 +120,9 @@ This project is best read as a staged embodied-AI research study:
 | --- | --- | --- |
 | Data understanding | One public Xperience-10M sample episode is converted into 5,821 frames, 1,161 aligned windows, and an 8,546-dimensional multimodal representation. | [`PROJECT_BRIEF.md`](PROJECT_BRIEF.md), [`PROJECT_STATUS.md`](PROJECT_STATUS.md) |
 | Task suite | Twenty human-readable tasks cover action, procedure, contact, object, language, retrieval, reconstruction, order, synchronization, long-horizon forecasting, interaction text, action-object binding, sensor bridging, camera sync, and transition timing. Tasks 13-20 live under the historical `tier2_task_suite` artifact path for link stability, but they are part of the same suite. | [`TASK_SUITE_20.md`](TASK_SUITE_20.md), [`docs/data/task_suite_20.json`](docs/data/task_suite_20.json), [`RESEARCH_TAKEAWAYS.md`](RESEARCH_TAKEAWAYS.md), [`results/episode_task_suite/summary_report.json`](results/episode_task_suite/summary_report.json), [`results/episode_task_suite/tier2_task_suite/TIER2_TASK_BASELINES.md`](results/episode_task_suite/tier2_task_suite/TIER2_TASK_BASELINES.md) |
-| Baselines | Minimal heads and compact PyTorch MLP heads provide a first controlled comparison on the same chronological split; the selected 128-episode setup also has same-split simple/NN metadata baselines for JSON-supported tasks. | [`results/episode_task_suite/neural_mlp/`](results/episode_task_suite/neural_mlp/), [`results/omni_finetune/multi_episode_128_task_baselines/BASELINE_ALIGNMENT_REPORT.md`](results/omni_finetune/multi_episode_128_task_baselines/BASELINE_ALIGNMENT_REPORT.md) |
 | Diagnostics | Audio contribution, modality ablations, timeline overlays, object labels, and alignment stress tests show which signals are useful and which tasks remain hard. | [`results/audio_ablation/AUDIO_ABLATION_SUMMARY.md`](results/audio_ablation/AUDIO_ABLATION_SUMMARY.md), [`docs/single_episode_explorer.html`](docs/single_episode_explorer.html) |
-| Scale-up | The selected 128-episode Qwen3-Omni LoRA diagnostic path now has a latest verified v6 held-out package: 96/16/16 selected episodes, 34,269 exported windows, 4,032 held-out test predictions, and public-safe metrics/predictions. v6 improves action macro-F1/contact accuracy versus v5, while v5 remains the pinned prior release row because it is stronger on several other metrics. Same-split simple/NN metadata baselines are published for the 12 task ids. Cosmos3-Nano has a verified future-window compatibility package. Cosmos3-Super now has two verified branches: a 448-window base-weight JSON-task Reasoner evaluation and a fine-tuned forward-dynamics LoRA package over camera-pose proxy targets with 2,848 train rows, 512 val rows, and 448 test rows. The 128-episode enhancement pack records the no-new-episode path: dense-window sizing, hierarchical action/subtask targets, task bottlenecks, and experiment cards for the next Qwen/Cosmos/policy pushes without overwriting existing results. | [`RESEARCH_ROADMAP.md`](RESEARCH_ROADMAP.md), [`FOUNDATION_MODEL_PLAN.md`](FOUNDATION_MODEL_PLAN.md), [`TASK_SUITE_ENHANCEMENT_128.md`](TASK_SUITE_ENHANCEMENT_128.md), [`docs/data/task_suite_enhancement_128.json`](docs/data/task_suite_enhancement_128.json), [`docs/data/omni_model_comparison.json`](docs/data/omni_model_comparison.json), [`docs/data/omni_finetune_verified_result.json`](docs/data/omni_finetune_verified_result.json), [`docs/data/qwen3_v5_v6_comparison.json`](docs/data/qwen3_v5_v6_comparison.json), [`results/omni_finetune/QWEN3_V5_V6_COMPARISON_20260614.md`](results/omni_finetune/QWEN3_V5_V6_COMPARISON_20260614.md), [`results/omni_finetune/OMNI_MODEL_COMPARISON.md`](results/omni_finetune/OMNI_MODEL_COMPARISON.md), [`results/omni_finetune/verified_public/`](results/omni_finetune/verified_public/), [`results/omni_finetune/task_suite_enhancement_128_v1_20260608/`](results/omni_finetune/task_suite_enhancement_128_v1_20260608/) |
 Detailed dataset notes, reproduction checks, and generated JSON reports are
 included for readers who want to inspect the implementation, but they are
@@ -315,11 +315,13 @@ also have a compact chart and result bundle under the historical
 ![Unified 20-task model radar](docs/assets/charts/unified_task_model_radar.svg)
 The unified radar compares all 20 task axes with two filled colors for the
-minimal and neural MLP baselines. The 128-episode metadata simple/NN
-overlays are plotted on the JSONL-supported task axes; Qwen3-Omni and Cosmos3
-overlays are plotted only where their verified 128-episode public metrics map
-to the same task semantics. Cosmos3-Super forward-dynamics LoRA remains a branch
-card because its camera-pose proxy MSE is not one of the 20 task metrics. The
 machine-readable copy is
 [`docs/data/unified_task_model_radar.json`](docs/data/unified_task_model_radar.json).

 | --- | --- | --- |
 | Data understanding | One public Xperience-10M sample episode is converted into 5,821 frames, 1,161 aligned windows, and an 8,546-dimensional multimodal representation. | [`PROJECT_BRIEF.md`](PROJECT_BRIEF.md), [`PROJECT_STATUS.md`](PROJECT_STATUS.md) |
 | Task suite | Twenty human-readable tasks cover action, procedure, contact, object, language, retrieval, reconstruction, order, synchronization, long-horizon forecasting, interaction text, action-object binding, sensor bridging, camera sync, and transition timing. Tasks 13-20 live under the historical `tier2_task_suite` artifact path for link stability, but they are part of the same suite. | [`TASK_SUITE_20.md`](TASK_SUITE_20.md), [`docs/data/task_suite_20.json`](docs/data/task_suite_20.json), [`RESEARCH_TAKEAWAYS.md`](RESEARCH_TAKEAWAYS.md), [`results/episode_task_suite/summary_report.json`](results/episode_task_suite/summary_report.json), [`results/episode_task_suite/tier2_task_suite/TIER2_TASK_BASELINES.md`](results/episode_task_suite/tier2_task_suite/TIER2_TASK_BASELINES.md) |
+| Baselines | Minimal heads and compact PyTorch MLP heads provide a first controlled comparison on the same chronological split; the selected 128-episode setup also has same-split simple/NN metadata baselines for JSON-supported tasks and raw-feature simple/NN baselines on 18 of 20 task axes. | [`results/episode_task_suite/neural_mlp/`](results/episode_task_suite/neural_mlp/), [`results/omni_finetune/multi_episode_128_task_baselines/BASELINE_ALIGNMENT_REPORT.md`](results/omni_finetune/multi_episode_128_task_baselines/BASELINE_ALIGNMENT_REPORT.md), [`results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/run_summary_all.json`](results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/run_summary_all.json) |
 | Diagnostics | Audio contribution, modality ablations, timeline overlays, object labels, and alignment stress tests show which signals are useful and which tasks remain hard. | [`results/audio_ablation/AUDIO_ABLATION_SUMMARY.md`](results/audio_ablation/AUDIO_ABLATION_SUMMARY.md), [`docs/single_episode_explorer.html`](docs/single_episode_explorer.html) |
+| Scale-up | The selected 128-episode Qwen3-Omni LoRA diagnostic path now has a latest verified v6 held-out package: 96/16/16 selected episodes, 34,269 exported windows, 4,032 held-out test predictions, and public-safe metrics/predictions. v6 improves action macro-F1/contact accuracy versus v5, while v5 remains the pinned prior release row because it is stronger on several other metrics. Same-split simple/NN metadata baselines are published for JSON-supported axes, and the raw-feature run adds simple/NN baselines on 18/20 task axes; the two missing axes require raw interaction text and paired video-view feature blocks absent from the 128 export. Cosmos3-Nano has a verified future-window compatibility package. Cosmos3-Super now has two verified branches: a 448-window base-weight JSON-task Reasoner evaluation and a fine-tuned forward-dynamics LoRA package over camera-pose proxy targets with 2,848 train rows, 512 val rows, and 448 test rows. The 128-episode enhancement pack records the no-new-episode path: dense-window sizing, hierarchical action/subtask targets, task bottlenecks, and experiment cards for the next Qwen/Cosmos/policy pushes without overwriting existing results. | [`RESEARCH_ROADMAP.md`](RESEARCH_ROADMAP.md), [`FOUNDATION_MODEL_PLAN.md`](FOUNDATION_MODEL_PLAN.md), [`TASK_SUITE_ENHANCEMENT_128.md`](TASK_SUITE_ENHANCEMENT_128.md), [`docs/data/task_suite_enhancement_128.json`](docs/data/task_suite_enhancement_128.json), [`docs/data/omni_model_comparison.json`](docs/data/omni_model_comparison.json), [`docs/data/omni_finetune_verified_result.json`](docs/data/omni_finetune_verified_result.json), [`docs/data/qwen3_v5_v6_comparison.json`](docs/data/qwen3_v5_v6_comparison.json), [`results/omni_finetune/QWEN3_V5_V6_COMPARISON_20260614.md`](results/omni_finetune/QWEN3_V5_V6_COMPARISON_20260614.md), [`results/omni_finetune/OMNI_MODEL_COMPARISON.md`](results/omni_finetune/OMNI_MODEL_COMPARISON.md), [`results/omni_finetune/verified_public/`](results/omni_finetune/verified_public/), [`results/omni_finetune/task_suite_enhancement_128_v1_20260608/`](results/omni_finetune/task_suite_enhancement_128_v1_20260608/) |
 Detailed dataset notes, reproduction checks, and generated JSON reports are
 included for readers who want to inspect the implementation, but they are
 ![Unified 20-task model radar](docs/assets/charts/unified_task_model_radar.svg)
 The unified radar compares all 20 task axes with two filled colors for the
+minimal and neural MLP baselines. The 128-episode metadata simple/NN overlays
+are plotted on JSONL-supported axes, and the raw-feature simple/NN overlays
+are plotted on 18/20 axes backed by the exported 4430-dimensional sensor NPZ
+blocks. Qwen3-Omni and Cosmos3 overlays are plotted only where their verified
+128-episode public metrics map to the same task semantics. Cosmos3-Super
+forward-dynamics LoRA remains a branch card because its camera-pose proxy MSE is
+not one of the 20 task metrics. The
 machine-readable copy is
 [`docs/data/unified_task_model_radar.json`](docs/data/unified_task_model_radar.json).

assets/charts/unified_task_model_radar.svg CHANGED Viewed

data/artifact_index.json CHANGED Viewed

@@ -1,8 +1,8 @@
 {
   "title": "Ropedia Xperience-10M Task Suite Artifact Index",
-  "generated_at_utc": "2026-06-16T06:28:50+00:00",
   "status": "pass",
-  "artifact_count": 176,
   "missing": [],
   "by_kind": {
     "project_path": 14,
@@ -16,7 +16,7 @@
     "website_data": 6,
     "generated_figure": 5,
     "visualization_builder": 1,
-    "model_result": 1,
     "result_interpretation": 5,
     "metrics_source": 27,
     "visual_evidence": 7,
@@ -465,7 +465,7 @@
       "shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
       "exists": true,
       "bytes": 4432,
-      "sha256": "07798a6609929512ae6f9368dc2626b0a854b828682b8d0dfa0323698eb0f5bf"
     },
     {
       "id": "source_alignment_validator",
@@ -585,8 +585,8 @@
       "surface": "website_hf",
       "shows": "Stores normalized 20-axis radar values, raw task metrics, Qwen3/Cosmos overlay mappings, and branch-card caveats.",
       "exists": true,
-      "bytes": 38085,
-      "sha256": "039ecf90094b813984cdd439017d383e1712c97d2eca8e7060c9981e20e08f7b"
     },
     {
       "id": "unified_task_model_radar_chart",
@@ -596,8 +596,8 @@
       "surface": "website_hf",
       "shows": "Compares minimal and neural MLP baselines across all 20 tasks, with Qwen3/Cosmos task-aligned model overlays.",
       "exists": true,
-      "bytes": 30823,
-      "sha256": "c26b73cdfd53ec81b9b4958a03309d11b297a09c841ce38e7309c90dcdeb17b0"
     },
     {
       "id": "unified_task_model_radar_builder",
@@ -607,8 +607,8 @@
       "surface": "repo_hf",
       "shows": "Regenerates the direction-aware radar chart and machine-readable metric overlay JSON.",
       "exists": true,
-      "bytes": 23778,
-      "sha256": "feb3f2ca48bf05bda6e32678ad1e70a3c36296ae514bebe1e407cb7870009f2b"
     },
     {
       "id": "a100_128_metadata_task_baselines",
@@ -621,6 +621,17 @@
       "bytes": 46996,
       "sha256": "e52b42fef73ab8e3647ce28361cb8c01095e3e8a7228c86b09d484cfa15b1830"
     },
     {
       "id": "research_takeaways",
       "title": "Research takeaways",
@@ -717,8 +728,8 @@
       "surface": "repo_hf",
       "shows": "Catalogs public figures, charts, modality thumbnails, dimensions, hashes, roles, and source scripts.",
       "exists": true,
-      "bytes": 5619,
-      "sha256": "4e22701530f12319291f611ccb1b23b647d3905bc6b4fc13d971fc1e5a6ea89d"
     },
     {
       "id": "figure_index_json",
@@ -728,8 +739,8 @@
       "surface": "website_hf",
       "shows": "Machine-readable visual asset index for website and Hugging Face mirrors.",
       "exists": true,
-      "bytes": 15731,
-      "sha256": "e12260ee4d0f8a8c74700398df555100745dcecfa4f258c4fd6b68925512a1c5"
     },
     {
       "id": "figure_index_builder",
@@ -806,7 +817,7 @@
       "shows": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
       "exists": true,
       "bytes": 8100,
-      "sha256": "6ffa21b6c04d5ae843310ec2fa6856ed1d9f40797575a417471cec17fc447c89"
     },
     {
       "id": "public_surface_qa",
@@ -817,7 +828,7 @@
       "shows": "Keeps the repo, website, and Hugging Face cards aligned as one cohesive research project surface.",
       "exists": true,
       "bytes": 1939,
-      "sha256": "6172c436593244cb8c1524f4a51e0d53c3a90b1126e16f8bf5c2a675e9800861"
     },
     {
       "id": "public_surface_qa_json",
@@ -828,7 +839,7 @@
       "volatile": true,
       "shows": "Machine-readable report for SEO/social metadata, accessible tab semantics, public links, project links, and clear project presentation.",
       "exists": true,
-      "bytes": 5882,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -909,7 +920,7 @@
       "volatile": true,
       "shows": "Records the last live GitHub/HF URL verification after upload.",
       "exists": true,
-      "bytes": 131863,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -953,8 +964,8 @@
       "surface": "repo_hf",
       "shows": "Generates the selective artifact catalog from local files.",
       "exists": true,
-      "bytes": 48219,
-      "sha256": "c8a612f4b1ade34cfe41abcfe5515da77c0dbe3cbcf3344b4b8a079eac1e0493"
     },
     {
       "id": "publication_audit",
@@ -965,7 +976,7 @@
       "volatile": true,
       "shows": "Confirms public bundles exclude raw data, caches, heavy archives, and credential text.",
       "exists": true,
-      "bytes": 7881,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -989,7 +1000,7 @@
       "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": 635505,
       "hash_policy": "existence_and_size_only"
     },
     {

 {
   "title": "Ropedia Xperience-10M Task Suite Artifact Index",
+  "generated_at_utc": "2026-06-16T07:51:12+00:00",
   "status": "pass",
+  "artifact_count": 177,
   "missing": [],
   "by_kind": {
     "project_path": 14,
     "website_data": 6,
     "generated_figure": 5,
     "visualization_builder": 1,
+    "model_result": 2,
     "result_interpretation": 5,
     "metrics_source": 27,
     "visual_evidence": 7,
       "shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
       "exists": true,
       "bytes": 4432,
+      "sha256": "fb8bb8e5cd7eeea8d0b5ffb22ddedb7ea36fd023d57d54b5a9c1cf0cf83a2102"
     },
     {
       "id": "source_alignment_validator",
       "surface": "website_hf",
       "shows": "Stores normalized 20-axis radar values, raw task metrics, Qwen3/Cosmos overlay mappings, and branch-card caveats.",
       "exists": true,
+      "bytes": 54075,
+      "sha256": "86d82d6cb9dde65aded4fbfe4d621b511f4a7e7630aef357ce270e1bc37ab50a"
     },
     {
       "id": "unified_task_model_radar_chart",
       "surface": "website_hf",
       "shows": "Compares minimal and neural MLP baselines across all 20 tasks, with Qwen3/Cosmos task-aligned model overlays.",
       "exists": true,
+      "bytes": 37507,
+      "sha256": "4bb600ac9ce7901a3c94ca5851f6975751b0a7b6e1d72f397565ecfb8dfba0df"
     },
     {
       "id": "unified_task_model_radar_builder",
       "surface": "repo_hf",
       "shows": "Regenerates the direction-aware radar chart and machine-readable metric overlay JSON.",
       "exists": true,
+      "bytes": 27128,
+      "sha256": "8c32b725318f5a3e8ba384b496e099d93f353d009e475dbc6243d229aff4ea13"
     },
     {
       "id": "a100_128_metadata_task_baselines",
       "bytes": 46996,
       "sha256": "e52b42fef73ab8e3647ce28361cb8c01095e3e8a7228c86b09d484cfa15b1830"
     },
+    {
+      "id": "a100_128_raw20_task_baselines",
+      "title": "128-episode raw-feature 20-task baselines",
+      "path": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/run_summary_all.json",
+      "kind": "model_result",
+      "surface": "repo_hf",
+      "shows": "Rerun of simple and neural baselines over 34,269 windows and staged 4430-dimensional sensor NPZ features; covers 18 of 20 task axes with documented raw-source gaps for interaction text and camera-view sync.",
+      "exists": true,
+      "bytes": 11638,
+      "sha256": "a2c8a63f04f9f13f97929551551505898b1c8b0b4a8964bdd0a035d5f600f4b6"
+    },
     {
       "id": "research_takeaways",
       "title": "Research takeaways",
       "surface": "repo_hf",
       "shows": "Catalogs public figures, charts, modality thumbnails, dimensions, hashes, roles, and source scripts.",
       "exists": true,
+      "bytes": 5614,
+      "sha256": "5a71c79b2c6b764a833553fa711cc0688c4d6d41edc79b1db1530a8223fdcaea"
     },
     {
       "id": "figure_index_json",
       "surface": "website_hf",
       "shows": "Machine-readable visual asset index for website and Hugging Face mirrors.",
       "exists": true,
+      "bytes": 15726,
+      "sha256": "587fc0e7e9e93f06341f520acf89b7ef81eeb98caaa90135881bc0d681ac2679"
     },
     {
       "id": "figure_index_builder",
       "shows": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
       "exists": true,
       "bytes": 8100,
+      "sha256": "52c8d858159ef519fae7382a3cac2ae7edd755f22e8f3ac3b8a63a7a90dba96a"
     },
     {
       "id": "public_surface_qa",
       "shows": "Keeps the repo, website, and Hugging Face cards aligned as one cohesive research project surface.",
       "exists": true,
       "bytes": 1939,
+      "sha256": "516ca8e7b67460a6151785bfa186165f37e394ab56114bab05481c878265ffe5"
     },
     {
       "id": "public_surface_qa_json",
       "volatile": true,
       "shows": "Machine-readable report for SEO/social metadata, accessible tab semantics, public links, project links, and clear project presentation.",
       "exists": true,
+      "bytes": 5806,
       "hash_policy": "existence_and_size_only"
     },
     {
       "volatile": true,
       "shows": "Records the last live GitHub/HF URL verification after upload.",
       "exists": true,
+      "bytes": 131884,
       "hash_policy": "existence_and_size_only"
     },
     {
       "surface": "repo_hf",
       "shows": "Generates the selective artifact catalog from local files.",
       "exists": true,
+      "bytes": 48739,
+      "sha256": "c0229653930917bd2cd71daf763ed85f140614bdeeef1db06b712519a684e746"
     },
     {
       "id": "publication_audit",
       "volatile": true,
       "shows": "Confirms public bundles exclude raw data, caches, heavy archives, and credential text.",
       "exists": true,
+      "bytes": 7883,
       "hash_policy": "existence_and_size_only"
     },
     {
       "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": 727544,
       "hash_policy": "existence_and_size_only"
     },
     {

data/figure_index.json CHANGED Viewed

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Figure Index",
   "status": "pass",
-  "generated_at_utc": "2026-06-16T06:28:50+00:00",
   "scope": "Public figures, diagrams, charts, and derived modality thumbnails. Raw Xperience-10M videos, annotations, RRD files, and Qwen weights are excluded.",
   "figure_count": 24,
   "figures": [
@@ -359,13 +359,13 @@
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 {
   "title": "Ropedia Xperience-10M Figure Index",
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+  "generated_at_utc": "2026-06-16T07:50:07+00:00",
   "scope": "Public figures, diagrams, charts, and derived modality thumbnails. Raw Xperience-10M videos, annotations, RRD files, and Qwen weights are excluded.",
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   "figures": [
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       "surface": "website unified task section, README, HF mirrors",
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data/mirror_parity.json CHANGED Viewed

The diff for this file is too large to render. See raw diff

data/public_surface_qa.json CHANGED Viewed

@@ -1,7 +1,7 @@
 {
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       "failures": {}

 {
   "title": "Ropedia Xperience-10M Public Project Surface",
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   "checks": [
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data/publication_audit.json CHANGED Viewed

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-      "text_file_count": 1015,
       "largest_file": {
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 {
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   "checks": [
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data/quality_gates.json CHANGED Viewed

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   "automated_gates": [
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 {
   "title": "Ropedia Xperience-10M Release Checks",
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   "rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
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data/scope_claims_audit.json CHANGED Viewed

@@ -1,6 +1,6 @@
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 {
   "status": "pass",
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data/source_alignment_audit.json CHANGED Viewed

@@ -1,7 +1,7 @@
 {
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 {
   "title": "Ropedia Xperience-10M Source Alignment Note",
   "status": "pass",
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   "alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
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data/task_surface_integrity.json CHANGED Viewed

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 {
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data/unified_task_model_radar.json CHANGED Viewed

@@ -1,14 +1,15 @@
 {
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       "title": "Qwen3-Omni v6 LoRA",

 {
   "title": "Unified 20-Task Model Radar",
   "status": "pass",
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   "task_count": 20,
   "normalization_policy": {
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     "foundation_model_overlay": "Qwen3/Cosmos points are plotted only on task-aligned axes. Missing axes mean the public result does not evaluate that task contract.",
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   },
   "series": [
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       "covered_task_count": 6,
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+      "short_label": "128-RS",
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+      "stroke_dasharray": "8 4",
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+      "coverage_fraction": 0.9
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+    {
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+      "color": "#22d3ee",
+      "kind": "partial_128_episode_raw_feature_baseline",
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           "raw_text": "0.0042"
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       "surface": "website_hf",
       "shows": "Compares minimal and neural MLP baselines across all 20 tasks, with Qwen3/Cosmos task-aligned model overlays.",
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       "bytes": 46996,
       "sha256": "e52b42fef73ab8e3647ce28361cb8c01095e3e8a7228c86b09d484cfa15b1830"
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+      "sha256": "a2c8a63f04f9f13f97929551551505898b1c8b0b4a8964bdd0a035d5f600f4b6"
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       "title": "Research takeaways",
       "surface": "repo_hf",
       "shows": "Catalogs public figures, charts, modality thumbnails, dimensions, hashes, roles, and source scripts.",
       "exists": true,
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     {
       "id": "figure_index_json",
       "surface": "website_hf",
       "shows": "Machine-readable visual asset index for website and Hugging Face mirrors.",
       "exists": true,
+      "bytes": 15726,
+      "sha256": "587fc0e7e9e93f06341f520acf89b7ef81eeb98caaa90135881bc0d681ac2679"
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       "shows": "Machine-readable report for SEO/social metadata, accessible tab semantics, public links, project links, and clear project presentation.",
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       "hash_policy": "existence_and_size_only"
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       "shows": "Generates the selective artifact catalog from local files.",
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+      "sha256": "c0229653930917bd2cd71daf763ed85f140614bdeeef1db06b712519a684e746"
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       "volatile": true,
       "shows": "Confirms public bundles exclude raw data, caches, heavy archives, and credential text.",
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       "hash_policy": "existence_and_size_only"
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     {
       "volatile": true,
       "shows": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
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docs/data/figure_index.json CHANGED Viewed

@@ -1,7 +1,7 @@
 {
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@@ -359,13 +359,13 @@
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 {
   "title": "Ropedia Xperience-10M Figure Index",
   "status": "pass",
+  "generated_at_utc": "2026-06-16T07:50:07+00:00",
   "scope": "Public figures, diagrams, charts, and derived modality thumbnails. Raw Xperience-10M videos, annotations, RRD files, and Qwen weights are excluded.",
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   "figures": [
       "source_script": "scripts/build_unified_task_model_radar.py",
       "surface": "website unified task section, README, HF mirrors",
       "exists": true,
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+        "height": 1500,
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docs/data/mirror_parity.json CHANGED Viewed

The diff for this file is too large to render. See raw diff

docs/data/public_surface_qa.json CHANGED Viewed

@@ -1,7 +1,7 @@
 {
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@@ -18,7 +18,7 @@
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@@ -28,27 +28,27 @@
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         }
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       "failures": {}

 {
   "title": "Ropedia Xperience-10M Public Project Surface",
   "status": "pass",
+  "generated_at_utc": "2026-06-16T07:57:01+00:00",
   "scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
   "checks": [
     {
         "website_integrity": {
           "exists": true,
           "status": "pass",
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         "rendered_site_check": {
           "exists": true,
         "task_surface_integrity": {
           "exists": true,
           "status": "pass",
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           "exists": true,
           "status": "pass",
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docs/data/publication_audit.json CHANGED Viewed

@@ -1,6 +1,6 @@
 {
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@@ -193,8 +193,8 @@
     "github_repo": {
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       "exists": true,
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@@ -204,8 +204,8 @@
     "hf_space_bundle": {
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       "exists": true,
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@@ -215,8 +215,8 @@
     "hf_artifact_bundle": {
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       "exists": true,
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@@ -226,8 +226,8 @@
     "hf_model_bundle": {
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-      "file_count": 2374,
-      "text_file_count": 1015,
       "largest_file": {
         "path": "pytorch_model.bin",
         "bytes": 93495480

 {
   "status": "pass",
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   "checks": [
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     "github_repo": {
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       "exists": true,
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       "largest_file": {
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         "bytes": 55702978
     "hf_space_bundle": {
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       "exists": true,
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       "largest_file": {
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         "bytes": 55702978
     "hf_artifact_bundle": {
       "root": "hf_publish/artifacts",
       "exists": true,
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+      "text_file_count": 922,
       "largest_file": {
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         "bytes": 55702978
     "hf_model_bundle": {
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docs/data/quality_gates.json CHANGED Viewed

@@ -1,7 +1,7 @@
 {
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   "rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
   "automated_gates": [
     {

 {
   "title": "Ropedia Xperience-10M Release Checks",
   "status": "pass",
+  "generated_at_utc": "2026-06-16T07:50:01+00:00",
   "rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
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docs/data/scope_claims_audit.json CHANGED Viewed

@@ -1,6 +1,6 @@
 {
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   "summary": {
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     "dataset_manifest_num_episodes": 119,

 {
   "status": "pass",
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   "summary": {
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docs/data/source_alignment_audit.json CHANGED Viewed

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Source Alignment Note",
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-  "generated_at_utc": "2026-06-16T06:36:43+00:00",
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   "alignment_summary": {
     "full_dataset_repo": "ropedia-ai/xperience-10m",

 {
   "title": "Ropedia Xperience-10M Source Alignment Note",
   "status": "pass",
+  "generated_at_utc": "2026-06-16T07:54:02+00:00",
   "alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
   "alignment_summary": {
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docs/data/task_surface_integrity.json CHANGED Viewed

@@ -1,6 +1,6 @@
 {
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   "summary": {
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     "expected_task_count": 12,

 {
   "status": "pass",
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   "summary": {
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     "expected_task_count": 12,

docs/data/unified_task_model_radar.json CHANGED Viewed

@@ -1,14 +1,15 @@
 {
   "title": "Unified 20-Task Model Radar",
   "status": "pass",
-  "generated_at_utc": "2026-06-16T06:32:05+00:00",
   "task_count": 20,
   "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",
     "raw_values": "raw metric values, metric keys, and sources are retained in this JSON; the SVG is an overview, not a replacement for the metric table",
     "foundation_model_overlay": "Qwen3/Cosmos points are plotted only on task-aligned axes. Missing axes mean the public result does not evaluate that task contract.",
-    "metadata_128_overlay": "128-episode metadata baselines are plotted only where the public JSONL contains enough task labels without raw feature blocks."
   },
   "series": [
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@@ -55,6 +56,28 @@
       "covered_task_count": 6,
       "coverage_fraction": 0.3
     },
     {
       "id": "qwen3_omni_v6_lora",
       "label": "Qwen3-Omni v6 LoRA",
@@ -155,6 +178,22 @@
           "scope": "multi_episode_128_metadata_baseline",
           "normalized_score": 0.004175793689174209,
           "raw_text": "0.0042"
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@@ -215,6 +254,22 @@
           "scope": "multi_episode_128_metadata_baseline",
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           "raw_text": "0.0001"
         }
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@@ -283,6 +338,22 @@
           "scope": "multi_episode_128_metadata_baseline",
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           "raw_text": "0.4842"
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           "scope": "multi_episode_128_metadata_baseline",
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           "raw_text": "0.0049"
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           "scope": "single_episode_public_sample",
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           "raw_text": "0.1079"
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@@ -447,6 +550,22 @@
           "scope": "multi_episode_128_metadata_baseline",
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           "raw_text": "0.5683"
         }
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@@ -507,6 +626,22 @@
           "scope": "multi_episode_128_metadata_baseline",
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           "raw_text": "0.1866"
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@@ -543,6 +678,22 @@
           "scope": "multi_episode_128_metadata_baseline",
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           "raw_text": "0.0023"
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@@ -579,6 +730,22 @@
           "scope": "multi_episode_128_partial_model_overlay",
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           "raw_text": "0.0221"
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           "raw_text": "-0.0102"
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@@ -643,6 +826,22 @@
           "scope": "multi_episode_128_metadata_baseline",
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           "raw_text": "0.4199"
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@@ -671,6 +870,22 @@
           "scope": "single_episode_public_sample",
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           "raw_text": "0.7153"
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@@ -699,6 +914,22 @@
           "scope": "single_episode_public_sample",
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           "raw_text": "0.0655"
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@@ -727,6 +958,22 @@
           "scope": "single_episode_public_sample",
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           "raw_text": "0.0507"
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           "raw_text": "0.0000"
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@@ -811,6 +1074,22 @@
           "scope": "single_episode_public_sample",
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           "raw_text": "0.1972"
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@@ -839,6 +1118,22 @@
           "scope": "single_episode_public_sample",
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           "raw_text": "0.0426"
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@@ -895,6 +1190,22 @@
           "scope": "single_episode_public_sample",
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           "raw_text": "10.55"
         }
       }
     }
@@ -916,6 +1227,22 @@
       "headline": "compact MLP heads over metadata/text features",
       "source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/summary_report.json"
     },
     {
       "id": "qwen3_omni_v6_lora",
       "title": "Qwen3-Omni v6 LoRA",

 {
   "title": "Unified 20-Task Model Radar",
   "status": "pass",
+  "generated_at_utc": "2026-06-16T07:51:12+00:00",
   "task_count": 20,
   "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",
     "raw_values": "raw metric values, metric keys, and sources are retained in this JSON; the SVG is an overview, not a replacement for the metric table",
     "foundation_model_overlay": "Qwen3/Cosmos points are plotted only on task-aligned axes. Missing axes mean the public result does not evaluate that task contract.",
+    "metadata_128_overlay": "128-episode metadata baselines are plotted only where the public JSONL contains enough task labels without raw feature blocks.",
+    "raw_128_overlay": "128-episode raw-feature baselines use staged sensor NPZ features and are plotted only on task axes supported by the exported feature blocks."
   },
   "series": [
     {
       "covered_task_count": 6,
       "coverage_fraction": 0.3
     },
+    {
+      "id": "raw128_simple",
+      "label": "128ep Raw Simple",
+      "short_label": "128-RS",
+      "color": "#f59e0b",
+      "kind": "partial_128_episode_raw_feature_baseline",
+      "scope": "128 selected episodes, staged 4430-dim sensor NPZ features",
+      "stroke_dasharray": "8 4",
+      "covered_task_count": 18,
+      "coverage_fraction": 0.9
+    },
+    {
+      "id": "raw128_neural_mlp",
+      "label": "128ep Raw NN",
+      "short_label": "128-RN",
+      "color": "#22d3ee",
+      "kind": "partial_128_episode_raw_feature_baseline",
+      "scope": "128 selected episodes, staged 4430-dim sensor NPZ features",
+      "stroke_dasharray": "2 5",
+      "covered_task_count": 18,
+      "coverage_fraction": 0.9
+    },
     {
       "id": "qwen3_omni_v6_lora",
       "label": "Qwen3-Omni v6 LoRA",
           "scope": "multi_episode_128_metadata_baseline",
           "normalized_score": 0.004175793689174209,
           "raw_text": "0.0042"
+        },
+        "raw128_simple": {
+          "raw": 0.002915061325704321,
+          "metric_key": "macro_f1",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/simple_raw128/timeline_action/metrics.json",
+          "scope": "multi_episode_128_raw_sensor_feature_baseline",
+          "normalized_score": 0.002915061325704321,
+          "raw_text": "0.0029"
+        },
+        "raw128_neural_mlp": {
+          "raw": 0.0014955083181204041,
+          "metric_key": "macro_f1",
+          "source": "results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/timeline_action/metrics.json",
+          "scope": "multi_episode_128_raw_sensor_feature_baseline",
+          "normalized_score": 0.0014955083181204041,
+          "raw_text": "0.0015"
         }
       }
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results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/input_report.json ADDED Viewed

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+{
+  "load_report": {
+    "resolved_npz_files": 357,
+    "loaded_feature_rows": 34269,
+    "input_rows": 34269,
+    "dropped_rows": 0,
+    "missing_path_examples": [],
+    "feature_dim": 4430
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+  "split_counts": {
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+      "name": "imu_accel_gyro",
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+}

results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/logs/gpu0_tasks01_05.log ADDED Viewed

	@@ -0,0 +1,9 @@

+[raw20] loading rows from results/omni_finetune/xperience10m_qwen3_omni_128ep_multiscale_cap96_v5_full8gpu_lora_dataset/dataset.jsonl
+[raw20] loading feature matrix for 34269 rows
+[raw20] loaded 34269 x 4430 features from 357 NPZ files
+[raw20] running timeline_action
+[raw20] running timeline_subtask
+[raw20] running transition_detection
+[raw20] running next_action
+[raw20] running hand_trajectory_forecast
+[raw20] done; wrote 10 result records to results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z

results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/logs/gpu0_tasks01_05_rerun.log ADDED Viewed

	@@ -0,0 +1,9 @@

+[raw20] loading rows from results/omni_finetune/xperience10m_qwen3_omni_128ep_multiscale_cap96_v5_full8gpu_lora_dataset/dataset.jsonl
+[raw20] loading feature matrix for 34269 rows
+[raw20] loaded 34269 x 4430 features from 357 NPZ files
+[raw20] running timeline_action
+[raw20] running timeline_subtask
+[raw20] running transition_detection
+[raw20] running next_action
+[raw20] running hand_trajectory_forecast
+[raw20] done; wrote 10 result records to results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z

results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/logs/gpu1_tasks06_10.log ADDED Viewed

	@@ -0,0 +1,9 @@

+[raw20] loading rows from results/omni_finetune/xperience10m_qwen3_omni_128ep_multiscale_cap96_v5_full8gpu_lora_dataset/dataset.jsonl
+[raw20] loading feature matrix for 34269 rows
+[raw20] loaded 34269 x 4430 features from 357 NPZ files
+[raw20] running contact_prediction
+[raw20] running object_relevance
+[raw20] running caption_grounding
+[raw20] running cross_modal_retrieval
+[raw20] running modality_reconstruction
+[raw20] done; wrote 10 result records to results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z

results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/logs/gpu2_tasks11_15.log ADDED Viewed

	@@ -0,0 +1,9 @@

+[raw20] loading rows from results/omni_finetune/xperience10m_qwen3_omni_128ep_multiscale_cap96_v5_full8gpu_lora_dataset/dataset.jsonl
+[raw20] loading feature matrix for 34269 rows
+[raw20] loaded 34269 x 4430 features from 357 NPZ files
+[raw20] running temporal_order
+[raw20] running misalignment_detection
+[raw20] running long_horizon_next_action
+[raw20] running next_subtask_forecast
+[raw20] running interaction_text_prediction
+[raw20] done; wrote 10 result records to results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z

results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/logs/gpu3_task16_rerun_4096cap.log ADDED Viewed

	@@ -0,0 +1,5 @@

+[raw20] loading rows from results/omni_finetune/xperience10m_qwen3_omni_128ep_multiscale_cap96_v5_full8gpu_lora_dataset/dataset.jsonl
+[raw20] loading feature matrix for 34269 rows
+[raw20] loaded 34269 x 4430 features from 357 NPZ files
+[raw20] running action_object_relation
+[raw20] done; wrote 2 result records to results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z

results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/logs/gpu3_tasks16_20.log ADDED Viewed

	@@ -0,0 +1,9 @@

+[raw20] loading rows from results/omni_finetune/xperience10m_qwen3_omni_128ep_multiscale_cap96_v5_full8gpu_lora_dataset/dataset.jsonl
+[raw20] loading feature matrix for 34269 rows
+[raw20] loaded 34269 x 4430 features from 357 NPZ files
+[raw20] running action_object_relation
+[raw20] running object_set_forecast
+[raw20] running imu_to_hand_pose
+[raw20] running camera_view_sync_retrieval
+[raw20] running time_to_transition
+[raw20] done; wrote 10 result records to results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z

results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/metrics_summary.csv ADDED Viewed

	@@ -0,0 +1,3 @@

+task,task_display_name,model_family,status,primary_metric,primary_score,metric_direction,reason,error
+action_object_relation,Action Object Relation,simple_raw128_centroid,pass,macro_f1,0.0,higher,,
+action_object_relation,Action Object Relation,neural_mlp_raw128,pass,macro_f1,0.0,higher,,

results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/metrics_summary_all.csv ADDED Viewed

	@@ -0,0 +1,41 @@

+task,model_family,status,primary_metric,primary_score,metric_direction,reason,error
+action_object_relation,neural_mlp_raw128,pass,macro_f1,0.0,higher,,
+action_object_relation,simple_raw128_centroid,pass,macro_f1,0.0,higher,,
+camera_view_sync_retrieval,neural_mlp_raw128,unsupported,mrr,,higher,"128-episode NPZ manifest has camera pose plus audio/depth/caption features, but no two explicit video-view feature blocks for camera-view synchronization",
+camera_view_sync_retrieval,simple_raw128_ridge,unsupported,mrr,,higher,"128-episode NPZ manifest has camera pose plus audio/depth/caption features, but no two explicit video-view feature blocks for camera-view synchronization",
+caption_grounding,neural_mlp_raw128,pass,mrr,0.0063402121886610985,higher,,
+caption_grounding,simple_raw128_ridge,pass,mrr,0.011150892823934555,higher,,
+contact_prediction,neural_mlp_raw128,pass,macro_f1,1.0,higher,,
+contact_prediction,simple_raw128_centroid,pass,macro_f1,0.886990707397193,higher,,
+cross_modal_retrieval,neural_mlp_raw128,pass,mrr,0.002535284962505102,higher,,
+cross_modal_retrieval,simple_raw128_ridge,pass,mrr,0.003459817497059703,higher,,
+hand_trajectory_forecast,neural_mlp_raw128,pass,mae,0.18475216627120972,lower,,
+hand_trajectory_forecast,simple_raw128_ridge,pass,mae,0.2729249894618988,lower,,
+imu_to_hand_pose,neural_mlp_raw128,pass,mae,0.252998411655426,lower,,
+imu_to_hand_pose,simple_raw128_ridge,pass,mae,0.22941437363624573,lower,,
+interaction_text_prediction,neural_mlp_raw128,unsupported,macro_f1,,higher,raw 128-episode annotation.hdf5 interaction text is not present in the JSONL export; only hashed caption_objects_interaction_text features are available,
+interaction_text_prediction,simple_raw128_centroid,unsupported,macro_f1,,higher,raw 128-episode annotation.hdf5 interaction text is not present in the JSONL export; only hashed caption_objects_interaction_text features are available,
+long_horizon_next_action,neural_mlp_raw128,pass,macro_f1,0.001063859887389299,higher,,
+long_horizon_next_action,simple_raw128_centroid,pass,macro_f1,0.0024280172369056294,higher,,
+misalignment_detection,neural_mlp_raw128,pass,macro_f1,0.8272709077974252,higher,,
+misalignment_detection,simple_raw128_centroid,pass,macro_f1,0.4958867673901769,higher,,
+modality_reconstruction,neural_mlp_raw128,pass,r2,-1.3974418160502369,higher,,
+modality_reconstruction,simple_raw128_ridge,pass,r2,-1.3450960391924882,higher,,
+next_action,neural_mlp_raw128,pass,macro_f1,0.0018477984371755407,higher,,
+next_action,simple_raw128_centroid,pass,macro_f1,0.003285273363482094,higher,,
+next_subtask_forecast,neural_mlp_raw128,pass,macro_f1,0.0,higher,,
+next_subtask_forecast,simple_raw128_centroid,pass,macro_f1,0.0,higher,,
+object_relevance,neural_mlp_raw128_multilabel,pass,micro_f1,0.1765890386972509,higher,,
+object_relevance,simple_raw128_ridge_multilabel,pass,micro_f1,0.0655376369662084,higher,,
+object_set_forecast,neural_mlp_raw128_multilabel,pass,micro_f1,0.17523098630012288,higher,,
+object_set_forecast,simple_raw128_ridge_multilabel,pass,micro_f1,0.06469493412657774,higher,,
+temporal_order,neural_mlp_raw128,pass,macro_f1,0.8030047098504103,higher,,
+temporal_order,simple_raw128_centroid,pass,macro_f1,0.49824413370686593,higher,,
+time_to_transition,neural_mlp_raw128,pass,mae,42.374061584472656,lower,,
+time_to_transition,simple_raw128_ridge,pass,mae,52.32759094238281,lower,,
+timeline_action,neural_mlp_raw128,pass,macro_f1,0.0014955083181204041,higher,,
+timeline_action,simple_raw128_centroid,pass,macro_f1,0.002915061325704321,higher,,
+timeline_subtask,neural_mlp_raw128,pass,macro_f1,7.35632183908046e-05,higher,,
+timeline_subtask,simple_raw128_centroid,pass,macro_f1,0.0,higher,,
+transition_detection,neural_mlp_raw128,pass,macro_f1,0.4902206914147213,higher,,
+transition_detection,simple_raw128_centroid,pass,macro_f1,0.4203613574238283,higher,,

results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/action_object_relation/metrics.json ADDED Viewed

	@@ -0,0 +1,62 @@

+{
+  "task": "action_object_relation",
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+  "model_family": "neural_mlp_raw128",
+  "source": "128_episode_raw_sensor_features",
+  "input_features": "sensor features excluding hashed caption text",
+  "primary_metric": "macro_f1",
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+}

results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/action_object_relation/predictions.csv ADDED Viewed

The diff for this file is too large to render. See raw diff

results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/camera_view_sync_retrieval/metrics.json ADDED Viewed

	@@ -0,0 +1,13 @@

+{
+  "task": "camera_view_sync_retrieval",
+  "task_display_name": "Camera View Sync Retrieval",
+  "task_family": "retrieval",
+  "model_family": "neural_mlp_raw128",
+  "source": "128_episode_raw_sensor_features",
+  "input_features": "not run",
+  "primary_metric": "mrr",
+  "metric_direction": "higher",
+  "status": "unsupported",
+  "reason": "128-episode NPZ manifest has camera pose plus audio/depth/caption features, but no two explicit video-view feature blocks for camera-view synchronization",
+  "primary_score": null
+}

results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/caption_grounding/metrics.json ADDED Viewed

	@@ -0,0 +1,52 @@

+{
+  "task": "caption_grounding",
+  "task_display_name": "Language Grounding",
+  "task_family": "retrieval",
+  "model_family": "neural_mlp_raw128",
+  "source": "128_episode_raw_sensor_features",
+  "input_features": "non-caption sensor blocks projected to hashed caption/object/interaction block",
+  "primary_metric": "mrr",
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+}

results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/contact_prediction/metrics.json ADDED Viewed

	@@ -0,0 +1,62 @@

+{
+  "task": "contact_prediction",
+  "task_display_name": "Contact State Prediction",
+  "task_family": "classification",
+  "model_family": "neural_mlp_raw128",
+  "source": "128_episode_raw_sensor_features",
+  "input_features": "sensor features excluding hashed caption text",
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results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/contact_prediction/predictions.csv ADDED Viewed

The diff for this file is too large to render. See raw diff

results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/cross_modal_retrieval/metrics.json ADDED Viewed

	@@ -0,0 +1,52 @@

+{
+  "task": "cross_modal_retrieval",
+  "task_display_name": "Cross-Modal Retrieval",
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+  "source": "128_episode_raw_sensor_features",
+  "input_features": "all non-depth sensor blocks projected to depth-confidence block",
+  "primary_metric": "mrr",
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+}

results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/hand_trajectory_forecast/metrics.json ADDED Viewed

	@@ -0,0 +1,52 @@

+{
+  "task": "hand_trajectory_forecast",
+  "task_display_name": "Hand Trajectory Forecasting",
+  "task_family": "regression",
+  "model_family": "neural_mlp_raw128",
+  "source": "128_episode_raw_sensor_features",
+  "input_features": "current non-hand/non-caption features; target hand joint feature block +20 frames",
+  "primary_metric": "mae",
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+}

results/omni_finetune/a100_128_raw20_task_baselines_20260616T073954Z/neural_mlp_raw128/imu_to_hand_pose/metrics.json ADDED Viewed

	@@ -0,0 +1,52 @@

+{
+  "task": "imu_to_hand_pose",
+  "task_display_name": "Imu To Hand Pose",
+  "task_family": "regression",
+  "model_family": "neural_mlp_raw128",
+  "source": "128_episode_raw_sensor_features",
+  "input_features": "IMU acceleration/gyroscope block reconstructs hand-joint blocks",
+  "primary_metric": "mae",
+  "metric_direction": "lower",
+  "status": "pass",
+  "device": "cuda",
+  "history": [
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+  "num_train_windows": 25629,
+  "num_test_windows": 4032,
+  "input_dim": 42,
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+  "target_dim": 882,
+  "splits": {
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+      "r2": -0.1798296121579115,
+      "mean_l2": 12.296762466430664
+    }
+  },
+  "primary_score": 0.252998411655426
+}