Robotics
PyTorch
Cosmos
xperience10m_task_baseline_suite
embodied-ai
multimodal
xperience-10m
baseline
evaluation
qwen3-omni
Instructions to use cy0307/ropedia-xperience-10m-task-baselines with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Cosmos
How to use cy0307/ropedia-xperience-10m-task-baselines with Cosmos:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Update complete20 data mirror
Browse files- data/artifact_index.json +12 -12
- data/figure_index.json +3 -3
- data/mirror_parity.json +0 -0
- data/public_surface_qa.json +2 -2
- data/publication_audit.json +9 -9
- data/quality_gates.json +1 -1
- data/scope_claims_audit.json +1 -1
- data/source_alignment_audit.json +1 -1
- data/task_surface_integrity.json +1 -1
- data/unified_task_model_radar.json +91 -59
- data/website_integrity.json +6 -6
data/artifact_index.json
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{
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"title": "Ropedia Xperience-10M Task Suite Artifact Index",
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"generated_at_utc": "2026-06-
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"status": "pass",
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"artifact_count": 177,
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"missing": [],
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"shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
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"exists": true,
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"bytes": 4432,
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"sha256": "
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"id": "source_alignment_validator",
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"surface": "repo_hf",
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"shows": "Regenerates the direction-aware radar chart and machine-readable metric overlay JSON.",
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"exists": true,
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"bytes":
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"sha256": "
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},
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{
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"id": "a100_128_metadata_task_baselines",
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@@ -624,13 +624,13 @@
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{
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"id": "a100_128_raw20_task_baselines",
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"title": "128-episode raw-feature 20-task baselines",
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"path": "results/omni_finetune/
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"kind": "model_result",
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"surface": "repo_hf",
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"shows": "Rerun of simple and neural baselines over 34,269 windows and staged 4430-dimensional sensor NPZ features; covers
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"exists": true,
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"bytes":
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"sha256": "
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},
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{
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"id": "research_takeaways",
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"volatile": true,
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"shows": "Records the last live GitHub/HF URL verification after upload.",
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"exists": true,
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"bytes":
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"hash_policy": "existence_and_size_only"
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},
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{
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"surface": "repo_hf",
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"shows": "Generates the selective artifact catalog from local files.",
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"exists": true,
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"bytes":
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"sha256": "
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"id": "publication_audit",
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"volatile": true,
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"shows": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
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"exists": true,
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"bytes":
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"hash_policy": "existence_and_size_only"
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},
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{
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{
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"title": "Ropedia Xperience-10M Task Suite Artifact Index",
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+
"generated_at_utc": "2026-06-16T08:49:31+00:00",
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"status": "pass",
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"artifact_count": 177,
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"missing": [],
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"shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
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"exists": true,
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"bytes": 4432,
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+
"sha256": "412c42101e98f05afb9f4e79c3884930b07c9c5ff8dcb0b108fecfc1c0af5e24"
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},
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{
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"id": "source_alignment_validator",
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"surface": "repo_hf",
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"shows": "Regenerates the direction-aware radar chart and machine-readable metric overlay JSON.",
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"exists": true,
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+
"bytes": 27347,
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+
"sha256": "8b5eb0a12fb320024f942bc650fb0fe779a0a59e835f26e71ccb55885695adda"
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},
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{
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"id": "a100_128_metadata_task_baselines",
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{
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"id": "a100_128_raw20_task_baselines",
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"title": "128-episode raw-feature 20-task baselines",
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"path": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/run_summary_all.json",
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"kind": "model_result",
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"surface": "repo_hf",
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+
"shows": "Rerun of simple and neural baselines over 34,269 windows and staged 4430-dimensional sensor NPZ features; covers 20 of 20 task axes, with interaction text and camera-view sync marked as compact-proxy completions because the 128 export lacks raw interaction strings and paired video-view embeddings.",
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"exists": true,
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"bytes": 23050,
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"sha256": "4a5191c070bb43940c34d8495af44d771ec2d183f66205d15007480f9b764a42"
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},
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{
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"id": "research_takeaways",
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"volatile": true,
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"shows": "Records the last live GitHub/HF URL verification after upload.",
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"exists": true,
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"bytes": 131868,
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"hash_policy": "existence_and_size_only"
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},
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{
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"surface": "repo_hf",
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"shows": "Generates the selective artifact catalog from local files.",
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"exists": true,
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+
"bytes": 48848,
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+
"sha256": "c7e9027d5ee936ec66f1328a187b8d321cd66af679df87e6e1d76e2b5a76672e"
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},
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{
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"id": "publication_audit",
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"volatile": true,
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"shows": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
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"exists": true,
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"bytes": 832111,
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"hash_policy": "existence_and_size_only"
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},
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{
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data/figure_index.json
CHANGED
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@@ -1,7 +1,7 @@
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{
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"title": "Ropedia Xperience-10M Figure Index",
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"status": "pass",
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-
"generated_at_utc": "2026-06-
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"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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"figure_count": 24,
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"figures": [
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"source_script": "scripts/build_unified_task_model_radar.py",
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"surface": "website unified task section, README, HF mirrors",
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"exists": true,
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-
"bytes":
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-
"sha256": "
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"dimensions": {
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"format": "SVG",
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"width": 1720,
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{
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"title": "Ropedia Xperience-10M Figure Index",
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"status": "pass",
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"generated_at_utc": "2026-06-16T08:49:33+00:00",
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"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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"figure_count": 24,
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"figures": [
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"source_script": "scripts/build_unified_task_model_radar.py",
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"surface": "website unified task section, README, HF mirrors",
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"exists": true,
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+
"bytes": 37974,
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"sha256": "75f037b5e2517a64e6bafb1f6bf92cf67d5144299c94ff5a7f3a900ca2cbf267",
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"dimensions": {
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"format": "SVG",
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"width": 1720,
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data/mirror_parity.json
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data/public_surface_qa.json
CHANGED
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{
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"title": "Ropedia Xperience-10M Public Project Surface",
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"status": "pass",
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-
"generated_at_utc": "2026-06-
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"scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
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"checks": [
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{
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"mirror_parity": {
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"exists": true,
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"status": "pass",
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-
"generated_at_utc": "2026-06-
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}
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},
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"failures": {}
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{
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"title": "Ropedia Xperience-10M Public Project Surface",
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"status": "pass",
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"generated_at_utc": "2026-06-16T08:50:02+00:00",
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"scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
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"checks": [
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{
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"mirror_parity": {
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"exists": true,
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"status": "pass",
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"generated_at_utc": "2026-06-16T08:01:18+00:00"
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}
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},
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"failures": {}
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data/publication_audit.json
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{
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"status": "pass",
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"generated_at_utc": "2026-06-
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"checks": [
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{
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"name": "required_publication_assets_present",
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"github_repo": {
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"root": "repo",
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"exists": true,
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"file_count":
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"text_file_count":
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"largest_file": {
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"path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
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"bytes": 55702978
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"hf_space_bundle": {
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"root": "hf_publish/space",
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"exists": true,
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"file_count":
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"text_file_count":
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"largest_file": {
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"path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
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"bytes": 55702978
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"hf_artifact_bundle": {
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"root": "hf_publish/artifacts",
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"exists": true,
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"file_count":
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"text_file_count":
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"largest_file": {
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"path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
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"bytes": 55702978
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"hf_model_bundle": {
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"root": "hf_publish/model",
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"exists": true,
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"file_count":
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"largest_file": {
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"path": "pytorch_model.bin",
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"bytes": 93495480
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{
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"status": "pass",
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"generated_at_utc": "2026-06-16T08:51:12+00:00",
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"checks": [
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{
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"name": "required_publication_assets_present",
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"github_repo": {
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"root": "repo",
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"exists": true,
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"file_count": 1183,
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"text_file_count": 988,
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"largest_file": {
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"path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
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"bytes": 55702978
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"hf_space_bundle": {
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"root": "hf_publish/space",
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"exists": true,
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"file_count": 966,
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"text_file_count": 810,
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"largest_file": {
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"path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
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"bytes": 55702978
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"hf_artifact_bundle": {
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"root": "hf_publish/artifacts",
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"exists": true,
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"file_count": 2152,
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"text_file_count": 989,
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"largest_file": {
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"path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
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"bytes": 55702978
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"hf_model_bundle": {
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"root": "hf_publish/model",
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"exists": true,
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"file_count": 2581,
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"text_file_count": 1147,
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"largest_file": {
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"path": "pytorch_model.bin",
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"bytes": 93495480
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data/quality_gates.json
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{
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"title": "Ropedia Xperience-10M Release Checks",
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"status": "pass",
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"generated_at_utc": "2026-06-
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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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"automated_gates": [
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{
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{
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"title": "Ropedia Xperience-10M Release Checks",
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"status": "pass",
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"generated_at_utc": "2026-06-16T08:50:01+00:00",
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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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"automated_gates": [
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{
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data/scope_claims_audit.json
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{
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"status": "pass",
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"generated_at_utc": "2026-06-
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"summary": {
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"qwen3_omni_verified_diagnostic_pilot": true,
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"dataset_manifest_num_episodes": 119,
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{
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"status": "pass",
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"generated_at_utc": "2026-06-16T08:50:31+00:00",
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"summary": {
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"qwen3_omni_verified_diagnostic_pilot": true,
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"dataset_manifest_num_episodes": 119,
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data/source_alignment_audit.json
CHANGED
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{
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"title": "Ropedia Xperience-10M Source Alignment Note",
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"status": "pass",
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"generated_at_utc": "2026-06-
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"alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
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"alignment_summary": {
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"full_dataset_repo": "ropedia-ai/xperience-10m",
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{
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"title": "Ropedia Xperience-10M Source Alignment Note",
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"status": "pass",
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"generated_at_utc": "2026-06-16T08:50:24+00:00",
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"alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
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"alignment_summary": {
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"full_dataset_repo": "ropedia-ai/xperience-10m",
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data/task_surface_integrity.json
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{
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"status": "pass",
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"summary": {
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"task_count": 12,
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"expected_task_count": 12,
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{
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"status": "pass",
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"generated_at_utc": "2026-06-16T08:50:24+00:00",
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"summary": {
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"task_count": 12,
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"expected_task_count": 12,
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data/unified_task_model_radar.json
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{
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"title": "Unified 20-Task Model Radar",
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"status": "pass",
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"generated_at_utc": "2026-06-
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"task_count": 20,
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"normalization_policy": {
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"higher_is_better": "bounded metrics are plotted directly on 0-1 axes after clipping to [0, 1]",
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"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",
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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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"metadata_128_overlay": "128-episode metadata baselines are plotted only where the public JSONL contains enough task labels without raw feature blocks.",
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"raw_128_overlay": "128-episode raw-feature baselines use staged sensor NPZ features and are
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},
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"series": [
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{
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"label": "128ep Raw Simple",
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"short_label": "128-RS",
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"color": "#f59e0b",
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"kind": "
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"scope": "128 selected episodes, staged 4430-dim sensor NPZ features",
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"stroke_dasharray": "8 4",
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"covered_task_count":
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"coverage_fraction":
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},
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{
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"id": "raw128_neural_mlp",
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"label": "128ep Raw NN",
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"short_label": "128-RN",
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"color": "#22d3ee",
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"kind": "
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"scope": "128 selected episodes, staged 4430-dim sensor NPZ features",
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"stroke_dasharray": "2 5",
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"covered_task_count":
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"coverage_fraction":
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},
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{
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"id": "qwen3_omni_v6_lora",
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@@ -182,7 +182,7 @@
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"raw128_simple": {
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"raw": 0.002915061325704321,
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"metric_key": "macro_f1",
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| 185 |
-
"source": "results/omni_finetune/
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| 186 |
"scope": "multi_episode_128_raw_sensor_feature_baseline",
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"normalized_score": 0.002915061325704321,
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"raw_text": "0.0029"
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@@ -190,7 +190,7 @@
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"raw128_neural_mlp": {
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"raw": 0.0014955083181204041,
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"metric_key": "macro_f1",
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-
"source": "results/omni_finetune/
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| 194 |
"scope": "multi_episode_128_raw_sensor_feature_baseline",
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"normalized_score": 0.0014955083181204041,
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"raw_text": "0.0015"
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@@ -258,7 +258,7 @@
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"raw128_simple": {
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"raw": 0.0,
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"metric_key": "macro_f1",
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-
"source": "results/omni_finetune/
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| 262 |
"scope": "multi_episode_128_raw_sensor_feature_baseline",
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"normalized_score": 0.0,
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"raw_text": "0.0000"
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@@ -266,7 +266,7 @@
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"raw128_neural_mlp": {
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"raw": 7.35632183908046e-05,
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"metric_key": "macro_f1",
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-
"source": "results/omni_finetune/
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| 270 |
"scope": "multi_episode_128_raw_sensor_feature_baseline",
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"normalized_score": 7.35632183908046e-05,
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"raw_text": "0.0001"
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@@ -342,7 +342,7 @@
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"raw128_simple": {
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"raw": 0.4203613574238283,
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"metric_key": "macro_f1",
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-
"source": "results/omni_finetune/
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| 346 |
"scope": "multi_episode_128_raw_sensor_feature_baseline",
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"normalized_score": 0.4203613574238283,
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"raw_text": "0.4204"
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@@ -350,7 +350,7 @@
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"raw128_neural_mlp": {
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"raw": 0.4902206914147213,
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"metric_key": "macro_f1",
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-
"source": "results/omni_finetune/
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| 354 |
"scope": "multi_episode_128_raw_sensor_feature_baseline",
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"normalized_score": 0.4902206914147213,
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"raw_text": "0.4902"
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@@ -426,7 +426,7 @@
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"raw128_simple": {
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"raw": 0.003285273363482094,
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"metric_key": "macro_f1",
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-
"source": "results/omni_finetune/
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| 430 |
"scope": "multi_episode_128_raw_sensor_feature_baseline",
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"normalized_score": 0.003285273363482094,
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"raw_text": "0.0033"
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@@ -434,7 +434,7 @@
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"raw128_neural_mlp": {
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"raw": 0.0018477984371755407,
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"metric_key": "macro_f1",
|
| 437 |
-
"source": "results/omni_finetune/
|
| 438 |
"scope": "multi_episode_128_raw_sensor_feature_baseline",
|
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"normalized_score": 0.0018477984371755407,
|
| 440 |
"raw_text": "0.0018"
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@@ -470,7 +470,7 @@
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"raw128_simple": {
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"raw": 0.2729249894618988,
|
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"metric_key": "mae",
|
| 473 |
-
"source": "results/omni_finetune/
|
| 474 |
"scope": "multi_episode_128_raw_sensor_feature_baseline",
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"normalized_score": 0.39516420515180267,
|
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"raw_text": "0.2729"
|
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@@ -478,7 +478,7 @@
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"raw128_neural_mlp": {
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"raw": 0.18475216627120972,
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"metric_key": "mae",
|
| 481 |
-
"source": "results/omni_finetune/
|
| 482 |
"scope": "multi_episode_128_raw_sensor_feature_baseline",
|
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"normalized_score": 0.5837560051580399,
|
| 484 |
"raw_text": "0.1848"
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@@ -554,7 +554,7 @@
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| 554 |
"raw128_simple": {
|
| 555 |
"raw": 0.886990707397193,
|
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"metric_key": "macro_f1",
|
| 557 |
-
"source": "results/omni_finetune/
|
| 558 |
"scope": "multi_episode_128_raw_sensor_feature_baseline",
|
| 559 |
"normalized_score": 0.886990707397193,
|
| 560 |
"raw_text": "0.8870"
|
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@@ -562,7 +562,7 @@
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| 562 |
"raw128_neural_mlp": {
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| 563 |
"raw": 1.0,
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"metric_key": "macro_f1",
|
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-
"source": "results/omni_finetune/
|
| 566 |
"scope": "multi_episode_128_raw_sensor_feature_baseline",
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"normalized_score": 1.0,
|
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"raw_text": "1.000"
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@@ -630,7 +630,7 @@
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"raw128_simple": {
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"raw": 0.0655376369662084,
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"metric_key": "micro_f1",
|
| 633 |
-
"source": "results/omni_finetune/
|
| 634 |
"scope": "multi_episode_128_raw_sensor_feature_baseline",
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| 635 |
"normalized_score": 0.0655376369662084,
|
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"raw_text": "0.0655"
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@@ -638,7 +638,7 @@
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| 638 |
"raw128_neural_mlp": {
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"raw": 0.1765890386972509,
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"metric_key": "micro_f1",
|
| 641 |
-
"source": "results/omni_finetune/
|
| 642 |
"scope": "multi_episode_128_raw_sensor_feature_baseline",
|
| 643 |
"normalized_score": 0.1765890386972509,
|
| 644 |
"raw_text": "0.1766"
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@@ -680,17 +680,17 @@
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"raw_text": "0.0023"
|
| 681 |
},
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"raw128_simple": {
|
| 683 |
-
"raw": 0.
|
| 684 |
"metric_key": "mrr",
|
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-
"source": "results/omni_finetune/
|
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"scope": "multi_episode_128_raw_sensor_feature_baseline",
|
| 687 |
-
"normalized_score": 0.
|
| 688 |
-
"raw_text": "0.
|
| 689 |
},
|
| 690 |
"raw128_neural_mlp": {
|
| 691 |
"raw": 0.0063402121886610985,
|
| 692 |
"metric_key": "mrr",
|
| 693 |
-
"source": "results/omni_finetune/
|
| 694 |
"scope": "multi_episode_128_raw_sensor_feature_baseline",
|
| 695 |
"normalized_score": 0.0063402121886610985,
|
| 696 |
"raw_text": "0.0063"
|
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@@ -734,7 +734,7 @@
|
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| 734 |
"raw128_simple": {
|
| 735 |
"raw": 0.003459817497059703,
|
| 736 |
"metric_key": "mrr",
|
| 737 |
-
"source": "results/omni_finetune/
|
| 738 |
"scope": "multi_episode_128_raw_sensor_feature_baseline",
|
| 739 |
"normalized_score": 0.003459817497059703,
|
| 740 |
"raw_text": "0.0035"
|
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@@ -742,7 +742,7 @@
|
|
| 742 |
"raw128_neural_mlp": {
|
| 743 |
"raw": 0.002535284962505102,
|
| 744 |
"metric_key": "mrr",
|
| 745 |
-
"source": "results/omni_finetune/
|
| 746 |
"scope": "multi_episode_128_raw_sensor_feature_baseline",
|
| 747 |
"normalized_score": 0.002535284962505102,
|
| 748 |
"raw_text": "0.0025"
|
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@@ -778,7 +778,7 @@
|
|
| 778 |
"raw128_simple": {
|
| 779 |
"raw": -1.3450960391924882,
|
| 780 |
"metric_key": "r2",
|
| 781 |
-
"source": "results/omni_finetune/
|
| 782 |
"scope": "multi_episode_128_raw_sensor_feature_baseline",
|
| 783 |
"normalized_score": 0.0,
|
| 784 |
"raw_text": "-1.345"
|
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@@ -786,7 +786,7 @@
|
|
| 786 |
"raw128_neural_mlp": {
|
| 787 |
"raw": -1.3974418160502369,
|
| 788 |
"metric_key": "r2",
|
| 789 |
-
"source": "results/omni_finetune/
|
| 790 |
"scope": "multi_episode_128_raw_sensor_feature_baseline",
|
| 791 |
"normalized_score": 0.0,
|
| 792 |
"raw_text": "-1.397"
|
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@@ -830,7 +830,7 @@
|
|
| 830 |
"raw128_simple": {
|
| 831 |
"raw": 0.49824413370686593,
|
| 832 |
"metric_key": "macro_f1",
|
| 833 |
-
"source": "results/omni_finetune/
|
| 834 |
"scope": "multi_episode_128_raw_sensor_feature_baseline",
|
| 835 |
"normalized_score": 0.49824413370686593,
|
| 836 |
"raw_text": "0.4982"
|
|
@@ -838,7 +838,7 @@
|
|
| 838 |
"raw128_neural_mlp": {
|
| 839 |
"raw": 0.8030047098504103,
|
| 840 |
"metric_key": "macro_f1",
|
| 841 |
-
"source": "results/omni_finetune/
|
| 842 |
"scope": "multi_episode_128_raw_sensor_feature_baseline",
|
| 843 |
"normalized_score": 0.8030047098504103,
|
| 844 |
"raw_text": "0.8030"
|
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@@ -874,7 +874,7 @@
|
|
| 874 |
"raw128_simple": {
|
| 875 |
"raw": 0.4958867673901769,
|
| 876 |
"metric_key": "macro_f1",
|
| 877 |
-
"source": "results/omni_finetune/
|
| 878 |
"scope": "multi_episode_128_raw_sensor_feature_baseline",
|
| 879 |
"normalized_score": 0.4958867673901769,
|
| 880 |
"raw_text": "0.4959"
|
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@@ -882,7 +882,7 @@
|
|
| 882 |
"raw128_neural_mlp": {
|
| 883 |
"raw": 0.8272709077974252,
|
| 884 |
"metric_key": "macro_f1",
|
| 885 |
-
"source": "results/omni_finetune/
|
| 886 |
"scope": "multi_episode_128_raw_sensor_feature_baseline",
|
| 887 |
"normalized_score": 0.8272709077974252,
|
| 888 |
"raw_text": "0.8273"
|
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@@ -918,7 +918,7 @@
|
|
| 918 |
"raw128_simple": {
|
| 919 |
"raw": 0.0024280172369056294,
|
| 920 |
"metric_key": "macro_f1",
|
| 921 |
-
"source": "results/omni_finetune/
|
| 922 |
"scope": "multi_episode_128_raw_sensor_feature_baseline",
|
| 923 |
"normalized_score": 0.0024280172369056294,
|
| 924 |
"raw_text": "0.0024"
|
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@@ -926,7 +926,7 @@
|
|
| 926 |
"raw128_neural_mlp": {
|
| 927 |
"raw": 0.001063859887389299,
|
| 928 |
"metric_key": "macro_f1",
|
| 929 |
-
"source": "results/omni_finetune/
|
| 930 |
"scope": "multi_episode_128_raw_sensor_feature_baseline",
|
| 931 |
"normalized_score": 0.001063859887389299,
|
| 932 |
"raw_text": "0.0011"
|
|
@@ -962,7 +962,7 @@
|
|
| 962 |
"raw128_simple": {
|
| 963 |
"raw": 0.0,
|
| 964 |
"metric_key": "macro_f1",
|
| 965 |
-
"source": "results/omni_finetune/
|
| 966 |
"scope": "multi_episode_128_raw_sensor_feature_baseline",
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| 967 |
"normalized_score": 0.0,
|
| 968 |
"raw_text": "0.0000"
|
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@@ -970,7 +970,7 @@
|
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| 970 |
"raw128_neural_mlp": {
|
| 971 |
"raw": 0.0,
|
| 972 |
"metric_key": "macro_f1",
|
| 973 |
-
"source": "results/omni_finetune/
|
| 974 |
"scope": "multi_episode_128_raw_sensor_feature_baseline",
|
| 975 |
"normalized_score": 0.0,
|
| 976 |
"raw_text": "0.0000"
|
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@@ -1002,6 +1002,22 @@
|
|
| 1002 |
"scope": "single_episode_public_sample",
|
| 1003 |
"normalized_score": 0.0380952380952381,
|
| 1004 |
"raw_text": "0.0381"
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}
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}
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},
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@@ -1034,7 +1050,7 @@
|
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| 1034 |
"raw128_simple": {
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| 1035 |
"raw": 0.0,
|
| 1036 |
"metric_key": "macro_f1",
|
| 1037 |
-
"source": "results/omni_finetune/
|
| 1038 |
"scope": "multi_episode_128_raw_sensor_feature_baseline",
|
| 1039 |
"normalized_score": 0.0,
|
| 1040 |
"raw_text": "0.0000"
|
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@@ -1042,7 +1058,7 @@
|
|
| 1042 |
"raw128_neural_mlp": {
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| 1043 |
"raw": 0.0,
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| 1044 |
"metric_key": "macro_f1",
|
| 1045 |
-
"source": "results/omni_finetune/
|
| 1046 |
"scope": "multi_episode_128_raw_sensor_feature_baseline",
|
| 1047 |
"normalized_score": 0.0,
|
| 1048 |
"raw_text": "0.0000"
|
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@@ -1078,7 +1094,7 @@
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| 1078 |
"raw128_simple": {
|
| 1079 |
"raw": 0.06469493412657774,
|
| 1080 |
"metric_key": "micro_f1",
|
| 1081 |
-
"source": "results/omni_finetune/
|
| 1082 |
"scope": "multi_episode_128_raw_sensor_feature_baseline",
|
| 1083 |
"normalized_score": 0.06469493412657774,
|
| 1084 |
"raw_text": "0.0647"
|
|
@@ -1086,7 +1102,7 @@
|
|
| 1086 |
"raw128_neural_mlp": {
|
| 1087 |
"raw": 0.17523098630012288,
|
| 1088 |
"metric_key": "micro_f1",
|
| 1089 |
-
"source": "results/omni_finetune/
|
| 1090 |
"scope": "multi_episode_128_raw_sensor_feature_baseline",
|
| 1091 |
"normalized_score": 0.17523098630012288,
|
| 1092 |
"raw_text": "0.1752"
|
|
@@ -1122,7 +1138,7 @@
|
|
| 1122 |
"raw128_simple": {
|
| 1123 |
"raw": 0.22941437363624573,
|
| 1124 |
"metric_key": "mae",
|
| 1125 |
-
"source": "results/omni_finetune/
|
| 1126 |
"scope": "multi_episode_128_raw_sensor_feature_baseline",
|
| 1127 |
"normalized_score": 0.1832902066792771,
|
| 1128 |
"raw_text": "0.2294"
|
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@@ -1130,7 +1146,7 @@
|
|
| 1130 |
"raw128_neural_mlp": {
|
| 1131 |
"raw": 0.252998411655426,
|
| 1132 |
"metric_key": "mae",
|
| 1133 |
-
"source": "results/omni_finetune/
|
| 1134 |
"scope": "multi_episode_128_raw_sensor_feature_baseline",
|
| 1135 |
"normalized_score": 0.1662042369509182,
|
| 1136 |
"raw_text": "0.2530"
|
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@@ -1162,6 +1178,22 @@
|
|
| 1162 |
"scope": "single_episode_public_sample",
|
| 1163 |
"normalized_score": 0.24086658656597137,
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| 1164 |
"raw_text": "0.2409"
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}
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},
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@@ -1192,17 +1224,17 @@
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| 1192 |
"raw_text": "10.55"
|
| 1193 |
},
|
| 1194 |
"raw128_simple": {
|
| 1195 |
-
"raw": 52.
|
| 1196 |
"metric_key": "mae",
|
| 1197 |
-
"source": "results/omni_finetune/
|
| 1198 |
"scope": "multi_episode_128_raw_sensor_feature_baseline",
|
| 1199 |
-
"normalized_score": 0.
|
| 1200 |
"raw_text": "52.33"
|
| 1201 |
},
|
| 1202 |
"raw128_neural_mlp": {
|
| 1203 |
"raw": 42.374061584472656,
|
| 1204 |
"metric_key": "mae",
|
| 1205 |
-
"source": "results/omni_finetune/
|
| 1206 |
"scope": "multi_episode_128_raw_sensor_feature_baseline",
|
| 1207 |
"normalized_score": 0.24867468405504953,
|
| 1208 |
"raw_text": "42.37"
|
|
@@ -1230,18 +1262,18 @@
|
|
| 1230 |
{
|
| 1231 |
"id": "raw128_simple",
|
| 1232 |
"title": "128ep Raw Simple",
|
| 1233 |
-
"status": "
|
| 1234 |
-
"coverage": "
|
| 1235 |
-
"headline": "34,269 windows; centroid/ridge heads over 4430-dim sensor
|
| 1236 |
-
"source": "results/omni_finetune/
|
| 1237 |
},
|
| 1238 |
{
|
| 1239 |
"id": "raw128_neural_mlp",
|
| 1240 |
"title": "128ep Raw NN",
|
| 1241 |
-
"status": "
|
| 1242 |
-
"coverage": "
|
| 1243 |
-
"headline": "MLP heads
|
| 1244 |
-
"source": "results/omni_finetune/
|
| 1245 |
},
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| 1246 |
{
|
| 1247 |
"id": "qwen3_omni_v6_lora",
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Unified 20-Task Model Radar",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-16T08:49:30+00:00",
|
| 5 |
"task_count": 20,
|
| 6 |
"normalization_policy": {
|
| 7 |
"higher_is_better": "bounded metrics are plotted directly on 0-1 axes after clipping to [0, 1]",
|
|
|
|
| 9 |
"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",
|
| 10 |
"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.",
|
| 11 |
"metadata_128_overlay": "128-episode metadata baselines are plotted only where the public JSONL contains enough task labels without raw feature blocks.",
|
| 12 |
+
"raw_128_overlay": "128-episode raw-feature baselines use staged sensor NPZ features. Eighteen axes use direct task targets; interaction text and camera-view sync are completed with documented compact proxies because raw interaction strings and paired video-view embeddings are absent from the 128 export."
|
| 13 |
},
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| 14 |
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| 1151 |
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| 1152 |
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| 1178 |
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| 1179 |
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| 1180 |
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| 1197 |
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| 1198 |
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| 1199 |
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|
|
|
| 1224 |
"raw_text": "10.55"
|
| 1225 |
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| 1226 |
"raw128_simple": {
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| 1227 |
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"raw": 52.32759475708008,
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| 1228 |
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| 1229 |
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"source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/time_to_transition/metrics.json",
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| 1230 |
"scope": "multi_episode_128_raw_sensor_feature_baseline",
|
| 1231 |
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"normalized_score": 0.20137284019197565,
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| 1232 |
"raw_text": "52.33"
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| 1233 |
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| 1234 |
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| 1235 |
"raw": 42.374061584472656,
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| 1236 |
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| 1237 |
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"source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/time_to_transition/metrics.json",
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| 1238 |
"scope": "multi_episode_128_raw_sensor_feature_baseline",
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| 1239 |
"normalized_score": 0.24867468405504953,
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| 1240 |
"raw_text": "42.37"
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|
|
|
| 1262 |
{
|
| 1263 |
"id": "raw128_simple",
|
| 1264 |
"title": "128ep Raw Simple",
|
| 1265 |
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"status": "a100_raw20_complete_with_documented_proxies",
|
| 1266 |
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"coverage": "20/20 axes; 18 direct + 2 proxy",
|
| 1267 |
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"headline": "34,269 windows; centroid/ridge heads over 4430-dim sensor blocks",
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| 1268 |
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"source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/run_summary_all.json"
|
| 1269 |
},
|
| 1270 |
{
|
| 1271 |
"id": "raw128_neural_mlp",
|
| 1272 |
"title": "128ep Raw NN",
|
| 1273 |
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"status": "a100_raw20_complete_with_documented_proxies",
|
| 1274 |
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"coverage": "20/20 axes; 18 direct + 2 proxy",
|
| 1275 |
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"headline": "MLP heads over staged features; tasks 15/19 use compact proxies",
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| 1276 |
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"source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/run_summary_all.json"
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| 1277 |
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| 1278 |
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| 1279 |
"id": "qwen3_omni_v6_lora",
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@@ -301,7 +301,7 @@
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| 301 |
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| 303 |
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| 304 |
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| 306 |
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| 307 |
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@@ -336,12 +336,12 @@
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| 336 |
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| 337 |
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| 338 |
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@@ -491,7 +491,7 @@
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|
| 491 |
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| 492 |
{
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| 493 |
"path": "data/unified_task_model_radar.json",
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| 494 |
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| 495 |
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| 496 |
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| 497 |
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@@ -587,7 +587,7 @@
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| 587 |
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| 588 |
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| 589 |
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| 591 |
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| 593 |
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{
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| 2 |
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"generated_at_utc": "2026-06-16T08:50:28+00:00",
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| 301 |
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| 336 |
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| 338 |
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