Datasets:
Add files using upload-large-folder tool
Browse files- data/artifact_index.json +24 -24
- data/episode128_task_model_radar.json +43 -44
- data/public_surface_qa.json +7 -7
- data/quality_gates.json +1 -1
- data/single_episode_task_model_radar.json +1 -1
- data/source_alignment_audit.json +1 -1
- data/task_method_20_gap_audit.json +11 -50
- data/task_method_20_result_matrix.json +27 -28
- data/task_surface_integrity.json +1 -1
- data/website_integrity.json +11 -11
- scripts/omni/collect_cosmos3_super_future_task_probe_results.sh +3 -1
- scripts/omni/eval_cosmos3_super_future_task_probes.py +16 -5
- scripts/omni/merge_cosmos3_super_future_task_probe_shards.py +4 -3
data/artifact_index.json
CHANGED
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@@ -1,6 +1,6 @@
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| 1 |
{
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| 2 |
"title": "Ropedia Xperience-10M Task Suite Artifact Index",
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| 3 |
-
"generated_at_utc": "2026-06-
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| 4 |
"status": "pass",
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"artifact_count": 222,
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"missing": [],
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@@ -610,7 +610,7 @@
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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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| 613 |
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"sha256": "
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},
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| 615 |
{
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"id": "source_alignment_validator",
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@@ -730,8 +730,8 @@
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| 730 |
"surface": "website_hf",
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| 731 |
"shows": "Stores normalized 20-axis radar values, raw task metrics, Qwen3/Cosmos overlay mappings, branch-card caveats, and explicit scoreless status records.",
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| 732 |
"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": "single_episode_task_model_radar_json",
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@@ -742,7 +742,7 @@
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| 742 |
"shows": "Machine-readable split radar for the one-episode Minimal and Neural MLP baselines, both scored on all 20 task contracts.",
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"exists": true,
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"bytes": 51064,
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| 745 |
-
"sha256": "
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| 746 |
},
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| 747 |
{
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"id": "episode128_task_model_radar_json",
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@@ -752,8 +752,8 @@
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| 752 |
"surface": "website_hf",
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| 753 |
"shows": "Machine-readable split radar for selected 128-episode metadata/raw baselines and verified Qwen3/Cosmos branches, preserving explicit scoreless cells.",
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"exists": true,
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"bytes":
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{
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"id": "task_method_20_result_matrix_json",
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@@ -763,8 +763,8 @@
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"surface": "website_hf",
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| 764 |
"shows": "Machine-readable 9-method by 20-task matrix where every method has 20 records and scoreless cells carry unsupported/not-evaluated reasons.",
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"exists": true,
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"bytes":
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"sha256": "
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{
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"id": "task_method_20_result_matrix",
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@@ -774,8 +774,8 @@
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"surface": "repo_hf",
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"shows": "Reader-facing table that separates 20 records per method from numeric scored axes, documented raw128 proxy scores, unsupported metadata targets, and model targets not evaluated in verified packages.",
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"exists": true,
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"bytes":
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"id": "task_method_20_gap_audit_json",
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@@ -785,8 +785,8 @@
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"surface": "website_hf",
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| 786 |
"shows": "Machine-readable 180-record gap ledger with numeric scores, scoreless cells, explicit status reasons, and next evidence needed before new scores can be published.",
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"exists": true,
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"bytes":
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"sha256": "
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"id": "task_method_20_gap_audit",
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@@ -796,8 +796,8 @@
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| 796 |
"surface": "repo_hf",
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| 797 |
"shows": "Reader-facing ledger that lists every scoreless method-task cell and the concrete target or model-output evidence required before it can become numeric.",
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"exists": true,
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"bytes":
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"sha256": "
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{
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"id": "unified_task_model_radar_chart",
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@@ -807,8 +807,8 @@
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"surface": "website_hf",
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| 808 |
"shows": "Compares minimal and neural MLP baselines across all 20 tasks, with Qwen3/Cosmos task-aligned model overlays.",
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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": "single_episode_task_model_radar_chart",
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@@ -829,8 +829,8 @@
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| 829 |
"surface": "website_hf",
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| 830 |
"shows": "Separates the selected 128-episode methods: raw-feature simple/NN as complete 20/20 scored polygons and metadata/Qwen/Cosmos as task-aligned overlays.",
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"exists": true,
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{
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"id": "unified_task_model_radar_builder",
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@@ -840,8 +840,8 @@
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"surface": "repo_hf",
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| 841 |
"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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{
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"id": "task_method_20_gap_audit_builder",
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@@ -1116,7 +1116,7 @@
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"shows": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
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"bytes": 8100,
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"sha256": "
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{
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"id": "public_surface_qa",
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@@ -1241,7 +1241,7 @@
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| 1241 |
"volatile": true,
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| 1242 |
"shows": "Records the last live GitHub/HF URL verification after upload.",
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| 1243 |
"exists": true,
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| 1245 |
"hash_policy": "existence_and_size_only"
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},
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| 1247 |
{
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@@ -1321,7 +1321,7 @@
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| 1321 |
"volatile": true,
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| 1322 |
"shows": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
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| 1323 |
"exists": true,
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"bytes":
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},
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| 1327 |
{
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|
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|
| 1 |
{
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| 2 |
"title": "Ropedia Xperience-10M Task Suite Artifact Index",
|
| 3 |
+
"generated_at_utc": "2026-06-20T18:44:30+00:00",
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| 4 |
"status": "pass",
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| 5 |
"artifact_count": 222,
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| 6 |
"missing": [],
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| 610 |
"shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
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{
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"id": "source_alignment_validator",
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| 730 |
"surface": "website_hf",
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"shows": "Stores normalized 20-axis radar values, raw task metrics, Qwen3/Cosmos overlay mappings, branch-card caveats, and explicit scoreless status records.",
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{
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"id": "single_episode_task_model_radar_json",
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| 742 |
"shows": "Machine-readable split radar for the one-episode Minimal and Neural MLP baselines, both scored on all 20 task contracts.",
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{
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"id": "episode128_task_model_radar_json",
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| 752 |
"surface": "website_hf",
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| 753 |
"shows": "Machine-readable split radar for selected 128-episode metadata/raw baselines and verified Qwen3/Cosmos branches, preserving explicit scoreless cells.",
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"id": "task_method_20_result_matrix_json",
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|
| 763 |
"surface": "website_hf",
|
| 764 |
"shows": "Machine-readable 9-method by 20-task matrix where every method has 20 records and scoreless cells carry unsupported/not-evaluated reasons.",
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| 770 |
"id": "task_method_20_result_matrix",
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| 774 |
"surface": "repo_hf",
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| 775 |
"shows": "Reader-facing table that separates 20 records per method from numeric scored axes, documented raw128 proxy scores, unsupported metadata targets, and model targets not evaluated in verified packages.",
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"id": "task_method_20_gap_audit_json",
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|
| 785 |
"surface": "website_hf",
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| 786 |
"shows": "Machine-readable 180-record gap ledger with numeric scores, scoreless cells, explicit status reasons, and next evidence needed before new scores can be published.",
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"id": "task_method_20_gap_audit",
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"surface": "repo_hf",
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"shows": "Reader-facing ledger that lists every scoreless method-task cell and the concrete target or model-output evidence required before it can become numeric.",
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"id": "unified_task_model_radar_chart",
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| 807 |
"surface": "website_hf",
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"shows": "Compares minimal and neural MLP baselines across all 20 tasks, with Qwen3/Cosmos task-aligned model overlays.",
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"id": "single_episode_task_model_radar_chart",
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| 829 |
"surface": "website_hf",
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| 830 |
"shows": "Separates the selected 128-episode methods: raw-feature simple/NN as complete 20/20 scored polygons and metadata/Qwen/Cosmos as task-aligned overlays.",
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"id": "unified_task_model_radar_builder",
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| 840 |
"surface": "repo_hf",
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"shows": "Regenerates the direction-aware radar chart and machine-readable metric overlay JSON.",
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"id": "task_method_20_gap_audit_builder",
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"volatile": true,
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{
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| 1321 |
"volatile": true,
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| 1322 |
"shows": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
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data/episode128_task_model_radar.json
CHANGED
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@@ -1,12 +1,12 @@
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| 1 |
{
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| 2 |
"title": "128-Episode 20-Task Radar",
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| 3 |
"status": "pass",
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| 4 |
-
"generated_at_utc": "2026-06-
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| 5 |
"description": "Selected 128-episode metadata/raw baselines plus verified Qwen3/Cosmos branches. Every method has 20 records; numeric scores appear only where the public artifact produced that task target.",
|
| 6 |
"task_count": 20,
|
| 7 |
"method_count": 7,
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| 8 |
"method_task_record_count": 140,
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| 9 |
-
"scored_method_task_count":
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| 10 |
"normalization_policy": {
|
| 11 |
"higher_is_better": "bounded metrics are plotted directly on 0-1 axes after clipping to [0, 1]",
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| 12 |
"lower_is_better": "lower-error metrics are converted to best_observed_value / raw_value within the same task",
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@@ -169,20 +169,19 @@
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"kind": "partial_128_episode_world_model_overlay",
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| 170 |
"scope": "128 selected episodes, held-out test",
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| 171 |
"stroke_dasharray": "2 7",
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| 172 |
-
"method_detail": "Verified Cosmos3-Nano future-window compatibility metrics, plus model-output probes for tasks 5/8/10/11/12/13/14/15/16/17/18/19 and a derived task-20 boundary timing probe scored from held-out future-window artifacts.",
|
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"plotted_as": "colored point overlay",
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| 174 |
"result_record_count": 20,
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| 175 |
-
"scored_task_count":
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"covered_task_count":
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"proxy_scored_task_count": 0,
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"scoreless_task_count":
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| 179 |
"unsupported_task_count": 0,
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| 180 |
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"not_evaluated_task_count":
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"status_counts": {
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"
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-
"scored": 18
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},
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-
"coverage_fraction":
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"result_record_fraction": 1.0
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}
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],
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@@ -357,15 +356,15 @@
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"status_label": "scored"
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},
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"cosmos3_nano_future_window": {
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"raw":
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"metric_key": "
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"source":
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"scope": "multi_episode_128_partial_model_overlay",
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"status": "
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"reason":
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"normalized_score":
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"raw_text": "
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"status_label": "
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}
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},
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@@ -812,15 +811,15 @@
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"status_label": "scored"
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},
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"cosmos3_nano_future_window": {
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"raw":
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"source":
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"scope": "multi_episode_128_partial_model_overlay",
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"status": "
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"normalized_score":
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"raw_text": "
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"status_label": "
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}
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}
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},
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@@ -2249,17 +2248,17 @@
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"task_label": "Procedure Step Recognition",
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| 2250 |
"series_id": "cosmos3_nano_future_window",
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"method": "Cosmos3-Nano Future Window",
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"status": "
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"status_label": "
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"scored":
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"raw":
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"raw_text": "
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"normalized_score":
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"metric_key": "
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"source":
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"scope": "multi_episode_128_partial_model_overlay",
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"reason":
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},
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{
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| 2265 |
"task_number": 3,
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@@ -2879,17 +2878,17 @@
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"task_label": "Object Relevance Prediction",
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| 2880 |
"series_id": "cosmos3_nano_future_window",
|
| 2881 |
"method": "Cosmos3-Nano Future Window",
|
| 2882 |
-
"status": "
|
| 2883 |
-
"status_label": "
|
| 2884 |
-
"scored":
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| 2885 |
"proxy_scored": false,
|
| 2886 |
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"raw":
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| 2887 |
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"raw_text": "
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| 2888 |
-
"normalized_score":
|
| 2889 |
-
"metric_key": "
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-
"source":
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| 2891 |
"scope": "multi_episode_128_partial_model_overlay",
|
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-
"reason":
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},
|
| 2894 |
{
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| 2895 |
"task_number": 8,
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| 1 |
{
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| 2 |
"title": "128-Episode 20-Task Radar",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-20T18:43:29+00:00",
|
| 5 |
"description": "Selected 128-episode metadata/raw baselines plus verified Qwen3/Cosmos branches. Every method has 20 records; numeric scores appear only where the public artifact produced that task target.",
|
| 6 |
"task_count": 20,
|
| 7 |
"method_count": 7,
|
| 8 |
"method_task_record_count": 140,
|
| 9 |
+
"scored_method_task_count": 140,
|
| 10 |
"normalization_policy": {
|
| 11 |
"higher_is_better": "bounded metrics are plotted directly on 0-1 axes after clipping to [0, 1]",
|
| 12 |
"lower_is_better": "lower-error metrics are converted to best_observed_value / raw_value within the same task",
|
|
|
|
| 169 |
"kind": "partial_128_episode_world_model_overlay",
|
| 170 |
"scope": "128 selected episodes, held-out test",
|
| 171 |
"stroke_dasharray": "2 7",
|
| 172 |
+
"method_detail": "Verified Cosmos3-Nano future-window compatibility metrics, plus model-output probes for tasks 2/5/7/8/10/11/12/13/14/15/16/17/18/19 and a derived task-20 boundary timing probe scored from held-out future-window artifacts.",
|
| 173 |
"plotted_as": "colored point overlay",
|
| 174 |
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|
| 175 |
+
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|
| 176 |
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|
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|
| 179 |
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|
| 180 |
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"not_evaluated_task_count": 0,
|
| 181 |
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|
| 182 |
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"scored": 20
|
|
|
|
| 183 |
},
|
| 184 |
+
"coverage_fraction": 1.0,
|
| 185 |
"result_record_fraction": 1.0
|
| 186 |
}
|
| 187 |
],
|
|
|
|
| 356 |
"status_label": "scored"
|
| 357 |
},
|
| 358 |
"cosmos3_nano_future_window": {
|
| 359 |
+
"raw": 0.0,
|
| 360 |
+
"metric_key": "timeline_subtask_macro_f1",
|
| 361 |
+
"source": "results/omni_finetune/xperience10m_cosmos3_nano_current_subtask_object_relevance_patched_textonly_20260621/timeline_subtask/metrics.json",
|
| 362 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 363 |
+
"status": "scored",
|
| 364 |
+
"reason": null,
|
| 365 |
+
"normalized_score": 0.0,
|
| 366 |
+
"raw_text": "0.0000",
|
| 367 |
+
"status_label": "scored"
|
| 368 |
}
|
| 369 |
}
|
| 370 |
},
|
|
|
|
| 811 |
"status_label": "scored"
|
| 812 |
},
|
| 813 |
"cosmos3_nano_future_window": {
|
| 814 |
+
"raw": 0.00047209895194032665,
|
| 815 |
+
"metric_key": "object_relevance_micro_f1",
|
| 816 |
+
"source": "results/omni_finetune/xperience10m_cosmos3_nano_current_subtask_object_relevance_patched_textonly_20260621/object_relevance/metrics.json",
|
| 817 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 818 |
+
"status": "scored",
|
| 819 |
+
"reason": null,
|
| 820 |
+
"normalized_score": 0.00047209895194032665,
|
| 821 |
+
"raw_text": "0.0005",
|
| 822 |
+
"status_label": "scored"
|
| 823 |
}
|
| 824 |
}
|
| 825 |
},
|
|
|
|
| 2248 |
"task_label": "Procedure Step Recognition",
|
| 2249 |
"series_id": "cosmos3_nano_future_window",
|
| 2250 |
"method": "Cosmos3-Nano Future Window",
|
| 2251 |
+
"status": "scored",
|
| 2252 |
+
"status_label": "scored",
|
| 2253 |
+
"scored": true,
|
| 2254 |
"proxy_scored": false,
|
| 2255 |
+
"raw": 0.0,
|
| 2256 |
+
"raw_text": "0.0000",
|
| 2257 |
+
"normalized_score": 0.0,
|
| 2258 |
+
"metric_key": "timeline_subtask_macro_f1",
|
| 2259 |
+
"source": "results/omni_finetune/xperience10m_cosmos3_nano_current_subtask_object_relevance_patched_textonly_20260621/timeline_subtask/metrics.json",
|
| 2260 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 2261 |
+
"reason": null
|
| 2262 |
},
|
| 2263 |
{
|
| 2264 |
"task_number": 3,
|
|
|
|
| 2878 |
"task_label": "Object Relevance Prediction",
|
| 2879 |
"series_id": "cosmos3_nano_future_window",
|
| 2880 |
"method": "Cosmos3-Nano Future Window",
|
| 2881 |
+
"status": "scored",
|
| 2882 |
+
"status_label": "scored",
|
| 2883 |
+
"scored": true,
|
| 2884 |
"proxy_scored": false,
|
| 2885 |
+
"raw": 0.00047209895194032665,
|
| 2886 |
+
"raw_text": "0.0005",
|
| 2887 |
+
"normalized_score": 0.00047209895194032665,
|
| 2888 |
+
"metric_key": "object_relevance_micro_f1",
|
| 2889 |
+
"source": "results/omni_finetune/xperience10m_cosmos3_nano_current_subtask_object_relevance_patched_textonly_20260621/object_relevance/metrics.json",
|
| 2890 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 2891 |
+
"reason": null
|
| 2892 |
},
|
| 2893 |
{
|
| 2894 |
"task_number": 8,
|
data/public_surface_qa.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Public Project Surface",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
|
| 6 |
"checks": [
|
| 7 |
{
|
|
@@ -18,7 +18,7 @@
|
|
| 18 |
"website_integrity": {
|
| 19 |
"exists": true,
|
| 20 |
"status": "pass",
|
| 21 |
-
"generated_at_utc": "2026-06-20T17:
|
| 22 |
},
|
| 23 |
"rendered_site_check": {
|
| 24 |
"exists": true,
|
|
@@ -28,27 +28,27 @@
|
|
| 28 |
"task_surface_integrity": {
|
| 29 |
"exists": true,
|
| 30 |
"status": "pass",
|
| 31 |
-
"generated_at_utc": "2026-06-20T17:
|
| 32 |
},
|
| 33 |
"source_alignment": {
|
| 34 |
"exists": true,
|
| 35 |
"status": "pass",
|
| 36 |
-
"generated_at_utc": "2026-06-
|
| 37 |
},
|
| 38 |
"scale_up_status": {
|
| 39 |
"exists": true,
|
| 40 |
"status": "pass",
|
| 41 |
-
"generated_at_utc": "2026-06-20T17:
|
| 42 |
},
|
| 43 |
"publication_package": {
|
| 44 |
"exists": true,
|
| 45 |
"status": "pass",
|
| 46 |
-
"generated_at_utc": "2026-06-20T17:
|
| 47 |
},
|
| 48 |
"mirror_parity": {
|
| 49 |
"exists": true,
|
| 50 |
"status": "pass",
|
| 51 |
-
"generated_at_utc": "2026-06-
|
| 52 |
}
|
| 53 |
},
|
| 54 |
"failures": {}
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Public Project Surface",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-20T18:44:29+00:00",
|
| 5 |
"scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
|
| 6 |
"checks": [
|
| 7 |
{
|
|
|
|
| 18 |
"website_integrity": {
|
| 19 |
"exists": true,
|
| 20 |
"status": "pass",
|
| 21 |
+
"generated_at_utc": "2026-06-20T17:47:18+00:00"
|
| 22 |
},
|
| 23 |
"rendered_site_check": {
|
| 24 |
"exists": true,
|
|
|
|
| 28 |
"task_surface_integrity": {
|
| 29 |
"exists": true,
|
| 30 |
"status": "pass",
|
| 31 |
+
"generated_at_utc": "2026-06-20T17:47:18+00:00"
|
| 32 |
},
|
| 33 |
"source_alignment": {
|
| 34 |
"exists": true,
|
| 35 |
"status": "pass",
|
| 36 |
+
"generated_at_utc": "2026-06-20T17:47:18+00:00"
|
| 37 |
},
|
| 38 |
"scale_up_status": {
|
| 39 |
"exists": true,
|
| 40 |
"status": "pass",
|
| 41 |
+
"generated_at_utc": "2026-06-20T17:47:20+00:00"
|
| 42 |
},
|
| 43 |
"publication_package": {
|
| 44 |
"exists": true,
|
| 45 |
"status": "pass",
|
| 46 |
+
"generated_at_utc": "2026-06-20T17:56:28+00:00"
|
| 47 |
},
|
| 48 |
"mirror_parity": {
|
| 49 |
"exists": true,
|
| 50 |
"status": "pass",
|
| 51 |
+
"generated_at_utc": "2026-06-20T18:09:34+00:00"
|
| 52 |
}
|
| 53 |
},
|
| 54 |
"failures": {}
|
data/quality_gates.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Release Checks",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
|
| 6 |
"automated_gates": [
|
| 7 |
{
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Release Checks",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-20T18:44:28+00:00",
|
| 5 |
"rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
|
| 6 |
"automated_gates": [
|
| 7 |
{
|
data/single_episode_task_model_radar.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Single-Episode 20-Task Radar",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"description": "Minimal and Neural MLP baselines on the one public sample episode, both scored on all 20 task contracts.",
|
| 6 |
"task_count": 20,
|
| 7 |
"method_count": 2,
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Single-Episode 20-Task Radar",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-20T18:43:29+00:00",
|
| 5 |
"description": "Minimal and Neural MLP baselines on the one public sample episode, both scored on all 20 task contracts.",
|
| 6 |
"task_count": 20,
|
| 7 |
"method_count": 2,
|
data/source_alignment_audit.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Source Alignment Note",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
|
| 6 |
"alignment_summary": {
|
| 7 |
"full_dataset_repo": "ropedia-ai/xperience-10m",
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Source Alignment Note",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-20T18:44:49+00:00",
|
| 5 |
"alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
|
| 6 |
"alignment_summary": {
|
| 7 |
"full_dataset_repo": "ropedia-ai/xperience-10m",
|
data/task_method_20_gap_audit.json
CHANGED
|
@@ -1,10 +1,10 @@
|
|
| 1 |
{
|
| 2 |
-
"generated_at_utc": "2026-06-
|
| 3 |
"immediate_actions": [
|
| 4 |
{
|
| 5 |
"artifact": "docs/data/task_method_20_gap_audit.json",
|
| 6 |
"id": "gap_audit",
|
| 7 |
-
"purpose": "Keep the
|
| 8 |
},
|
| 9 |
{
|
| 10 |
"artifact": "scripts/omni/score_model_output_probes.py",
|
|
@@ -24,11 +24,10 @@
|
|
| 24 |
"proxy_scored_task_count": 0,
|
| 25 |
"result_record_count": 20,
|
| 26 |
"scope": "128 selected episodes, held-out test",
|
| 27 |
-
"scored_task_count":
|
| 28 |
-
"scoreless_task_count":
|
| 29 |
"status_counts": {
|
| 30 |
-
"
|
| 31 |
-
"scored": 18
|
| 32 |
}
|
| 33 |
},
|
| 34 |
"cosmos3_super_reasoner": {
|
|
@@ -132,48 +131,10 @@
|
|
| 132 |
}
|
| 133 |
}
|
| 134 |
},
|
| 135 |
-
"missing_by_method": {
|
| 136 |
-
|
| 137 |
-
},
|
| 138 |
-
"
|
| 139 |
-
"not_evaluated_in_verified_package": 2
|
| 140 |
-
},
|
| 141 |
-
"missing_by_task": {
|
| 142 |
-
"02 Procedure Step Recognition": [
|
| 143 |
-
"cosmos3_nano_future_window"
|
| 144 |
-
],
|
| 145 |
-
"07 Object Relevance Prediction": [
|
| 146 |
-
"cosmos3_nano_future_window"
|
| 147 |
-
]
|
| 148 |
-
},
|
| 149 |
-
"missing_records": [
|
| 150 |
-
{
|
| 151 |
-
"method": "Cosmos3-Nano Future Window",
|
| 152 |
-
"metric_key": "macro_f1",
|
| 153 |
-
"reason": "the verified public model package did not ask this branch to emit that task target; a new task-specific evaluation package is required for a numeric score",
|
| 154 |
-
"recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
|
| 155 |
-
"scope": "multi_episode_128_partial_model_overlay",
|
| 156 |
-
"series_id": "cosmos3_nano_future_window",
|
| 157 |
-
"status": "not_evaluated_in_verified_package",
|
| 158 |
-
"status_label": "not evaluated",
|
| 159 |
-
"task_id": "timeline_subtask",
|
| 160 |
-
"task_label": "Procedure Step Recognition",
|
| 161 |
-
"task_number": 2
|
| 162 |
-
},
|
| 163 |
-
{
|
| 164 |
-
"method": "Cosmos3-Nano Future Window",
|
| 165 |
-
"metric_key": "micro_f1",
|
| 166 |
-
"reason": "the verified public model package did not ask this branch to emit that task target; a new task-specific evaluation package is required for a numeric score",
|
| 167 |
-
"recommended_next_step": "Generate verified model outputs for this task contract and score them against the held-out labels.",
|
| 168 |
-
"scope": "multi_episode_128_partial_model_overlay",
|
| 169 |
-
"series_id": "cosmos3_nano_future_window",
|
| 170 |
-
"status": "not_evaluated_in_verified_package",
|
| 171 |
-
"status_label": "not evaluated",
|
| 172 |
-
"task_id": "object_relevance",
|
| 173 |
-
"task_label": "Object Relevance Prediction",
|
| 174 |
-
"task_number": 7
|
| 175 |
-
}
|
| 176 |
-
],
|
| 177 |
"proxy_records": [
|
| 178 |
{
|
| 179 |
"method": "128ep Raw Simple",
|
|
@@ -240,8 +201,8 @@
|
|
| 240 |
"method_count": 9,
|
| 241 |
"method_task_record_count": 180,
|
| 242 |
"proxy_scored_method_task_count": 6,
|
| 243 |
-
"scored_method_task_count":
|
| 244 |
-
"scoreless_method_task_count":
|
| 245 |
"task_count": 20
|
| 246 |
},
|
| 247 |
"source_matrix": "docs/data/task_method_20_result_matrix.json",
|
|
|
|
| 1 |
{
|
| 2 |
+
"generated_at_utc": "2026-06-20T18:44:28+00:00",
|
| 3 |
"immediate_actions": [
|
| 4 |
{
|
| 5 |
"artifact": "docs/data/task_method_20_gap_audit.json",
|
| 6 |
"id": "gap_audit",
|
| 7 |
+
"purpose": "Keep the 0 scoreless cells visible and reproducible."
|
| 8 |
},
|
| 9 |
{
|
| 10 |
"artifact": "scripts/omni/score_model_output_probes.py",
|
|
|
|
| 24 |
"proxy_scored_task_count": 0,
|
| 25 |
"result_record_count": 20,
|
| 26 |
"scope": "128 selected episodes, held-out test",
|
| 27 |
+
"scored_task_count": 20,
|
| 28 |
+
"scoreless_task_count": 0,
|
| 29 |
"status_counts": {
|
| 30 |
+
"scored": 20
|
|
|
|
| 31 |
}
|
| 32 |
},
|
| 33 |
"cosmos3_super_reasoner": {
|
|
|
|
| 131 |
}
|
| 132 |
}
|
| 133 |
},
|
| 134 |
+
"missing_by_method": {},
|
| 135 |
+
"missing_by_status": {},
|
| 136 |
+
"missing_by_task": {},
|
| 137 |
+
"missing_records": [],
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 138 |
"proxy_records": [
|
| 139 |
{
|
| 140 |
"method": "128ep Raw Simple",
|
|
|
|
| 201 |
"method_count": 9,
|
| 202 |
"method_task_record_count": 180,
|
| 203 |
"proxy_scored_method_task_count": 6,
|
| 204 |
+
"scored_method_task_count": 180,
|
| 205 |
+
"scoreless_method_task_count": 0,
|
| 206 |
"task_count": 20
|
| 207 |
},
|
| 208 |
"source_matrix": "docs/data/task_method_20_result_matrix.json",
|
data/task_method_20_result_matrix.json
CHANGED
|
@@ -1,11 +1,11 @@
|
|
| 1 |
{
|
| 2 |
"title": "Task Method 20-Result Matrix",
|
| 3 |
"status": "pass",
|
| 4 |
-
"generated_at_utc": "2026-06-
|
| 5 |
"task_count": 20,
|
| 6 |
"method_count": 9,
|
| 7 |
"method_task_record_count": 180,
|
| 8 |
-
"scored_method_task_count":
|
| 9 |
"series": [
|
| 10 |
{
|
| 11 |
"id": "minimal",
|
|
@@ -203,20 +203,19 @@
|
|
| 203 |
"kind": "partial_128_episode_world_model_overlay",
|
| 204 |
"scope": "128 selected episodes, held-out test",
|
| 205 |
"stroke_dasharray": "2 7",
|
| 206 |
-
"method_detail": "Verified Cosmos3-Nano future-window compatibility metrics, plus model-output probes for tasks 5/8/10/11/12/13/14/15/16/17/18/19 and a derived task-20 boundary timing probe scored from held-out future-window artifacts.",
|
| 207 |
"plotted_as": "colored point overlay",
|
| 208 |
"result_record_count": 20,
|
| 209 |
-
"scored_task_count":
|
| 210 |
-
"covered_task_count":
|
| 211 |
"proxy_scored_task_count": 0,
|
| 212 |
-
"scoreless_task_count":
|
| 213 |
"unsupported_task_count": 0,
|
| 214 |
-
"not_evaluated_task_count":
|
| 215 |
"status_counts": {
|
| 216 |
-
"
|
| 217 |
-
"scored": 18
|
| 218 |
},
|
| 219 |
-
"coverage_fraction":
|
| 220 |
"result_record_fraction": 1.0
|
| 221 |
}
|
| 222 |
],
|
|
@@ -533,17 +532,17 @@
|
|
| 533 |
"task_label": "Procedure Step Recognition",
|
| 534 |
"series_id": "cosmos3_nano_future_window",
|
| 535 |
"method": "Cosmos3-Nano Future Window",
|
| 536 |
-
"status": "
|
| 537 |
-
"status_label": "
|
| 538 |
-
"scored":
|
| 539 |
"proxy_scored": false,
|
| 540 |
-
"raw":
|
| 541 |
-
"raw_text": "
|
| 542 |
-
"normalized_score":
|
| 543 |
-
"metric_key": "
|
| 544 |
-
"source":
|
| 545 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 546 |
-
"reason":
|
| 547 |
},
|
| 548 |
{
|
| 549 |
"task_number": 3,
|
|
@@ -1343,17 +1342,17 @@
|
|
| 1343 |
"task_label": "Object Relevance Prediction",
|
| 1344 |
"series_id": "cosmos3_nano_future_window",
|
| 1345 |
"method": "Cosmos3-Nano Future Window",
|
| 1346 |
-
"status": "
|
| 1347 |
-
"status_label": "
|
| 1348 |
-
"scored":
|
| 1349 |
"proxy_scored": false,
|
| 1350 |
-
"raw":
|
| 1351 |
-
"raw_text": "
|
| 1352 |
-
"normalized_score":
|
| 1353 |
-
"metric_key": "
|
| 1354 |
-
"source":
|
| 1355 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 1356 |
-
"reason":
|
| 1357 |
},
|
| 1358 |
{
|
| 1359 |
"task_number": 8,
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Task Method 20-Result Matrix",
|
| 3 |
"status": "pass",
|
| 4 |
+
"generated_at_utc": "2026-06-20T18:43:29+00:00",
|
| 5 |
"task_count": 20,
|
| 6 |
"method_count": 9,
|
| 7 |
"method_task_record_count": 180,
|
| 8 |
+
"scored_method_task_count": 180,
|
| 9 |
"series": [
|
| 10 |
{
|
| 11 |
"id": "minimal",
|
|
|
|
| 203 |
"kind": "partial_128_episode_world_model_overlay",
|
| 204 |
"scope": "128 selected episodes, held-out test",
|
| 205 |
"stroke_dasharray": "2 7",
|
| 206 |
+
"method_detail": "Verified Cosmos3-Nano future-window compatibility metrics, plus model-output probes for tasks 2/5/7/8/10/11/12/13/14/15/16/17/18/19 and a derived task-20 boundary timing probe scored from held-out future-window artifacts.",
|
| 207 |
"plotted_as": "colored point overlay",
|
| 208 |
"result_record_count": 20,
|
| 209 |
+
"scored_task_count": 20,
|
| 210 |
+
"covered_task_count": 20,
|
| 211 |
"proxy_scored_task_count": 0,
|
| 212 |
+
"scoreless_task_count": 0,
|
| 213 |
"unsupported_task_count": 0,
|
| 214 |
+
"not_evaluated_task_count": 0,
|
| 215 |
"status_counts": {
|
| 216 |
+
"scored": 20
|
|
|
|
| 217 |
},
|
| 218 |
+
"coverage_fraction": 1.0,
|
| 219 |
"result_record_fraction": 1.0
|
| 220 |
}
|
| 221 |
],
|
|
|
|
| 532 |
"task_label": "Procedure Step Recognition",
|
| 533 |
"series_id": "cosmos3_nano_future_window",
|
| 534 |
"method": "Cosmos3-Nano Future Window",
|
| 535 |
+
"status": "scored",
|
| 536 |
+
"status_label": "scored",
|
| 537 |
+
"scored": true,
|
| 538 |
"proxy_scored": false,
|
| 539 |
+
"raw": 0.0,
|
| 540 |
+
"raw_text": "0.0000",
|
| 541 |
+
"normalized_score": 0.0,
|
| 542 |
+
"metric_key": "timeline_subtask_macro_f1",
|
| 543 |
+
"source": "results/omni_finetune/xperience10m_cosmos3_nano_current_subtask_object_relevance_patched_textonly_20260621/timeline_subtask/metrics.json",
|
| 544 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 545 |
+
"reason": null
|
| 546 |
},
|
| 547 |
{
|
| 548 |
"task_number": 3,
|
|
|
|
| 1342 |
"task_label": "Object Relevance Prediction",
|
| 1343 |
"series_id": "cosmos3_nano_future_window",
|
| 1344 |
"method": "Cosmos3-Nano Future Window",
|
| 1345 |
+
"status": "scored",
|
| 1346 |
+
"status_label": "scored",
|
| 1347 |
+
"scored": true,
|
| 1348 |
"proxy_scored": false,
|
| 1349 |
+
"raw": 0.00047209895194032665,
|
| 1350 |
+
"raw_text": "0.0005",
|
| 1351 |
+
"normalized_score": 0.00047209895194032665,
|
| 1352 |
+
"metric_key": "object_relevance_micro_f1",
|
| 1353 |
+
"source": "results/omni_finetune/xperience10m_cosmos3_nano_current_subtask_object_relevance_patched_textonly_20260621/object_relevance/metrics.json",
|
| 1354 |
"scope": "multi_episode_128_partial_model_overlay",
|
| 1355 |
+
"reason": null
|
| 1356 |
},
|
| 1357 |
{
|
| 1358 |
"task_number": 8,
|
data/task_surface_integrity.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"summary": {
|
| 5 |
"task_count": 12,
|
| 6 |
"expected_task_count": 12,
|
|
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
+
"generated_at_utc": "2026-06-20T18:44:50+00:00",
|
| 4 |
"summary": {
|
| 5 |
"task_count": 12,
|
| 6 |
"expected_task_count": 12,
|
data/website_integrity.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"docs_root": "docs",
|
| 5 |
"site_base": "/ropedia-xperience-10m-task-suite/",
|
| 6 |
"summary": {
|
|
@@ -180,7 +180,7 @@
|
|
| 180 |
"status": "pass",
|
| 181 |
"reason": "The Suite anchor should show the task-suite map before the modality atlas.",
|
| 182 |
"first_marker_index": 471,
|
| 183 |
-
"second_marker_index":
|
| 184 |
},
|
| 185 |
{
|
| 186 |
"name": "suite_modality_atlas_contains_seven_cards",
|
|
@@ -301,7 +301,7 @@
|
|
| 301 |
},
|
| 302 |
{
|
| 303 |
"path": "data/artifact_index.json",
|
| 304 |
-
"bytes":
|
| 305 |
"top_level_type": "dict"
|
| 306 |
},
|
| 307 |
{
|
|
@@ -316,7 +316,7 @@
|
|
| 316 |
},
|
| 317 |
{
|
| 318 |
"path": "data/episode128_task_model_radar.json",
|
| 319 |
-
"bytes":
|
| 320 |
"top_level_type": "dict"
|
| 321 |
},
|
| 322 |
{
|
|
@@ -346,12 +346,12 @@
|
|
| 346 |
},
|
| 347 |
{
|
| 348 |
"path": "data/live_publication_status.json",
|
| 349 |
-
"bytes":
|
| 350 |
"top_level_type": "dict"
|
| 351 |
},
|
| 352 |
{
|
| 353 |
"path": "data/mirror_parity.json",
|
| 354 |
-
"bytes":
|
| 355 |
"top_level_type": "dict"
|
| 356 |
},
|
| 357 |
{
|
|
@@ -486,12 +486,12 @@
|
|
| 486 |
},
|
| 487 |
{
|
| 488 |
"path": "data/task_method_20_gap_audit.json",
|
| 489 |
-
"bytes":
|
| 490 |
"top_level_type": "dict"
|
| 491 |
},
|
| 492 |
{
|
| 493 |
"path": "data/task_method_20_result_matrix.json",
|
| 494 |
-
"bytes":
|
| 495 |
"top_level_type": "dict"
|
| 496 |
},
|
| 497 |
{
|
|
@@ -526,7 +526,7 @@
|
|
| 526 |
},
|
| 527 |
{
|
| 528 |
"path": "data/unified_task_model_radar.json",
|
| 529 |
-
"bytes":
|
| 530 |
"top_level_type": "dict"
|
| 531 |
},
|
| 532 |
{
|
|
@@ -571,7 +571,7 @@
|
|
| 571 |
{
|
| 572 |
"path": "assets/charts/episode128_task_model_radar.svg",
|
| 573 |
"exists": true,
|
| 574 |
-
"bytes":
|
| 575 |
"format": "SVG",
|
| 576 |
"has_viewbox": true
|
| 577 |
},
|
|
@@ -641,7 +641,7 @@
|
|
| 641 |
{
|
| 642 |
"path": "assets/charts/unified_task_model_radar.svg",
|
| 643 |
"exists": true,
|
| 644 |
-
"bytes":
|
| 645 |
"format": "SVG",
|
| 646 |
"has_viewbox": true
|
| 647 |
},
|
|
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
+
"generated_at_utc": "2026-06-20T18:44:57+00:00",
|
| 4 |
"docs_root": "docs",
|
| 5 |
"site_base": "/ropedia-xperience-10m-task-suite/",
|
| 6 |
"summary": {
|
|
|
|
| 180 |
"status": "pass",
|
| 181 |
"reason": "The Suite anchor should show the task-suite map before the modality atlas.",
|
| 182 |
"first_marker_index": 471,
|
| 183 |
+
"second_marker_index": 3778
|
| 184 |
},
|
| 185 |
{
|
| 186 |
"name": "suite_modality_atlas_contains_seven_cards",
|
|
|
|
| 301 |
},
|
| 302 |
{
|
| 303 |
"path": "data/artifact_index.json",
|
| 304 |
+
"bytes": 121559,
|
| 305 |
"top_level_type": "dict"
|
| 306 |
},
|
| 307 |
{
|
|
|
|
| 316 |
},
|
| 317 |
{
|
| 318 |
"path": "data/episode128_task_model_radar.json",
|
| 319 |
+
"bytes": 184856,
|
| 320 |
"top_level_type": "dict"
|
| 321 |
},
|
| 322 |
{
|
|
|
|
| 346 |
},
|
| 347 |
{
|
| 348 |
"path": "data/live_publication_status.json",
|
| 349 |
+
"bytes": 181788,
|
| 350 |
"top_level_type": "dict"
|
| 351 |
},
|
| 352 |
{
|
| 353 |
"path": "data/mirror_parity.json",
|
| 354 |
+
"bytes": 1354137,
|
| 355 |
"top_level_type": "dict"
|
| 356 |
},
|
| 357 |
{
|
|
|
|
| 486 |
},
|
| 487 |
{
|
| 488 |
"path": "data/task_method_20_gap_audit.json",
|
| 489 |
+
"bytes": 8399,
|
| 490 |
"top_level_type": "dict"
|
| 491 |
},
|
| 492 |
{
|
| 493 |
"path": "data/task_method_20_result_matrix.json",
|
| 494 |
+
"bytes": 128481,
|
| 495 |
"top_level_type": "dict"
|
| 496 |
},
|
| 497 |
{
|
|
|
|
| 526 |
},
|
| 527 |
{
|
| 528 |
"path": "data/unified_task_model_radar.json",
|
| 529 |
+
"bytes": 228710,
|
| 530 |
"top_level_type": "dict"
|
| 531 |
},
|
| 532 |
{
|
|
|
|
| 571 |
{
|
| 572 |
"path": "assets/charts/episode128_task_model_radar.svg",
|
| 573 |
"exists": true,
|
| 574 |
+
"bytes": 51945,
|
| 575 |
"format": "SVG",
|
| 576 |
"has_viewbox": true
|
| 577 |
},
|
|
|
|
| 641 |
{
|
| 642 |
"path": "assets/charts/unified_task_model_radar.svg",
|
| 643 |
"exists": true,
|
| 644 |
+
"bytes": 57959,
|
| 645 |
"format": "SVG",
|
| 646 |
"has_viewbox": true
|
| 647 |
},
|
scripts/omni/collect_cosmos3_super_future_task_probe_results.sh
CHANGED
|
@@ -51,6 +51,8 @@ task_ids = [item.strip() for item in sys.argv[3].split(",") if item.strip()]
|
|
| 51 |
model_label = sys.argv[4]
|
| 52 |
run_dir = root / "results/omni_finetune" / run_id
|
| 53 |
metric_key_by_task = {
|
|
|
|
|
|
|
| 54 |
"temporal_order": "temporal_order_f1",
|
| 55 |
"misalignment_detection": "misalignment_detection_f1",
|
| 56 |
"next_subtask_forecast": "next_subtask_forecast_macro_f1",
|
|
@@ -85,7 +87,7 @@ for task_id, metric_key in expected.items():
|
|
| 85 |
)
|
| 86 |
|
| 87 |
validation = {
|
| 88 |
-
"title": f"{model_label} Future Task Probe Collection Validation",
|
| 89 |
"status": "pass",
|
| 90 |
"run_id": run_id,
|
| 91 |
"summary": str(summary_path.relative_to(root)),
|
|
|
|
| 51 |
model_label = sys.argv[4]
|
| 52 |
run_dir = root / "results/omni_finetune" / run_id
|
| 53 |
metric_key_by_task = {
|
| 54 |
+
"timeline_subtask": "timeline_subtask_macro_f1",
|
| 55 |
+
"object_relevance": "object_relevance_micro_f1",
|
| 56 |
"temporal_order": "temporal_order_f1",
|
| 57 |
"misalignment_detection": "misalignment_detection_f1",
|
| 58 |
"next_subtask_forecast": "next_subtask_forecast_macro_f1",
|
|
|
|
| 87 |
)
|
| 88 |
|
| 89 |
validation = {
|
| 90 |
+
"title": f"{model_label} Future/Current Task Probe Collection Validation",
|
| 91 |
"status": "pass",
|
| 92 |
"run_id": run_id,
|
| 93 |
"summary": str(summary_path.relative_to(root)),
|
scripts/omni/eval_cosmos3_super_future_task_probes.py
CHANGED
|
@@ -103,6 +103,15 @@ def server_info(args: argparse.Namespace) -> dict[str, Any]:
|
|
| 103 |
return {"error": f"{type(exc).__name__}: {exc}"}
|
| 104 |
|
| 105 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 106 |
def qwen_content_to_openai(content: list[dict[str, Any]], args: argparse.Namespace) -> list[dict[str, Any]]:
|
| 107 |
converted: list[dict[str, Any]] = []
|
| 108 |
for item in content:
|
|
@@ -173,15 +182,16 @@ def score_task(task_id: str, spec: dict[str, Any], rows: list[dict[str, Any]], o
|
|
| 173 |
sample_stride=args.sample_stride,
|
| 174 |
)
|
| 175 |
metrics = qwen_score_task(task_id, spec, rows, output_dir, fake_args)
|
|
|
|
| 176 |
metrics.update(
|
| 177 |
{
|
| 178 |
-
"title": f"
|
| 179 |
"model": args.model,
|
| 180 |
"base_url": args.base_url,
|
| 181 |
"media_mode": args.media_mode,
|
| 182 |
-
"scope": "
|
| 183 |
"score_policy": (
|
| 184 |
-
"GPU-backed
|
| 185 |
"targets derivable from the 128-episode JSON export. In text_only mode, "
|
| 186 |
"raw video/audio is omitted and the artifact is labeled as a text-only "
|
| 187 |
"model-output probe; no labels are fabricated and no weights are updated."
|
|
@@ -303,8 +313,9 @@ def main() -> int:
|
|
| 303 |
rows = [partial_by_task[task_id][prediction_id(task_id, samples[idx])] for idx in eval_indices]
|
| 304 |
task_metrics[task_id] = score_task(task_id, TASK_SPECS[task_id], rows, args.output_dir, args)
|
| 305 |
|
|
|
|
| 306 |
summary = {
|
| 307 |
-
"title": "
|
| 308 |
"status": "pass",
|
| 309 |
"run_id": args.run_id,
|
| 310 |
"model": args.model,
|
|
@@ -329,7 +340,7 @@ def main() -> int:
|
|
| 329 |
}
|
| 330 |
write_json(args.output_dir / "summary.json", summary)
|
| 331 |
report_lines = [
|
| 332 |
-
"#
|
| 333 |
"",
|
| 334 |
f"- Run ID: `{args.run_id}`",
|
| 335 |
f"- Model: `{args.model}`",
|
|
|
|
| 103 |
return {"error": f"{type(exc).__name__}: {exc}"}
|
| 104 |
|
| 105 |
|
| 106 |
+
def model_display_name(args: argparse.Namespace) -> str:
|
| 107 |
+
text = f"{args.run_id} {args.model}".casefold()
|
| 108 |
+
if "nano" in text:
|
| 109 |
+
return "Cosmos3-Nano"
|
| 110 |
+
if "super" in text:
|
| 111 |
+
return "Cosmos3-Super Reasoner"
|
| 112 |
+
return "Cosmos3"
|
| 113 |
+
|
| 114 |
+
|
| 115 |
def qwen_content_to_openai(content: list[dict[str, Any]], args: argparse.Namespace) -> list[dict[str, Any]]:
|
| 116 |
converted: list[dict[str, Any]] = []
|
| 117 |
for item in content:
|
|
|
|
| 182 |
sample_stride=args.sample_stride,
|
| 183 |
)
|
| 184 |
metrics = qwen_score_task(task_id, spec, rows, output_dir, fake_args)
|
| 185 |
+
display_name = model_display_name(args)
|
| 186 |
metrics.update(
|
| 187 |
{
|
| 188 |
+
"title": f"{display_name} {spec['label']}",
|
| 189 |
"model": args.model,
|
| 190 |
"base_url": args.base_url,
|
| 191 |
"media_mode": args.media_mode,
|
| 192 |
+
"scope": "held_out_test_cosmos3_future_task_probe",
|
| 193 |
"score_policy": (
|
| 194 |
+
f"GPU-backed {display_name} future/current task probe over real held-out "
|
| 195 |
"targets derivable from the 128-episode JSON export. In text_only mode, "
|
| 196 |
"raw video/audio is omitted and the artifact is labeled as a text-only "
|
| 197 |
"model-output probe; no labels are fabricated and no weights are updated."
|
|
|
|
| 313 |
rows = [partial_by_task[task_id][prediction_id(task_id, samples[idx])] for idx in eval_indices]
|
| 314 |
task_metrics[task_id] = score_task(task_id, TASK_SPECS[task_id], rows, args.output_dir, args)
|
| 315 |
|
| 316 |
+
display_name = model_display_name(args)
|
| 317 |
summary = {
|
| 318 |
+
"title": f"{display_name} Future/Current Task Probes",
|
| 319 |
"status": "pass",
|
| 320 |
"run_id": args.run_id,
|
| 321 |
"model": args.model,
|
|
|
|
| 340 |
}
|
| 341 |
write_json(args.output_dir / "summary.json", summary)
|
| 342 |
report_lines = [
|
| 343 |
+
f"# {display_name} Future/Current Task Probes",
|
| 344 |
"",
|
| 345 |
f"- Run ID: `{args.run_id}`",
|
| 346 |
f"- Model: `{args.model}`",
|
scripts/omni/merge_cosmos3_super_future_task_probe_shards.py
CHANGED
|
@@ -9,7 +9,7 @@ import shutil
|
|
| 9 |
from pathlib import Path
|
| 10 |
from typing import Any
|
| 11 |
|
| 12 |
-
from eval_cosmos3_super_future_task_probes import TASK_SPECS, score_task, write_json
|
| 13 |
from eval_qwen3_omni_future_task_probes import write_jsonl
|
| 14 |
|
| 15 |
|
|
@@ -84,8 +84,9 @@ def main() -> int:
|
|
| 84 |
if (shard_dir / "server_info.json").exists() and not (args.output_dir / "server_info.json").exists():
|
| 85 |
shutil.copy2(shard_dir / "server_info.json", args.output_dir / "server_info.json")
|
| 86 |
|
|
|
|
| 87 |
summary = {
|
| 88 |
-
"title": "
|
| 89 |
"status": "pass",
|
| 90 |
"run_id": args.run_id,
|
| 91 |
"shard_dirs": [str(path) for path in args.shard_dir],
|
|
@@ -103,7 +104,7 @@ def main() -> int:
|
|
| 103 |
}
|
| 104 |
write_json(args.output_dir / "summary.json", summary)
|
| 105 |
report = [
|
| 106 |
-
"#
|
| 107 |
"",
|
| 108 |
f"- Run ID: `{args.run_id}`",
|
| 109 |
f"- Shards: `{len(args.shard_dir)}`",
|
|
|
|
| 9 |
from pathlib import Path
|
| 10 |
from typing import Any
|
| 11 |
|
| 12 |
+
from eval_cosmos3_super_future_task_probes import TASK_SPECS, model_display_name, score_task, write_json
|
| 13 |
from eval_qwen3_omni_future_task_probes import write_jsonl
|
| 14 |
|
| 15 |
|
|
|
|
| 84 |
if (shard_dir / "server_info.json").exists() and not (args.output_dir / "server_info.json").exists():
|
| 85 |
shutil.copy2(shard_dir / "server_info.json", args.output_dir / "server_info.json")
|
| 86 |
|
| 87 |
+
display_name = model_display_name(fake_args(args.run_id, first_metrics or {}))
|
| 88 |
summary = {
|
| 89 |
+
"title": f"{display_name} Future/Current Task Probes",
|
| 90 |
"status": "pass",
|
| 91 |
"run_id": args.run_id,
|
| 92 |
"shard_dirs": [str(path) for path in args.shard_dir],
|
|
|
|
| 104 |
}
|
| 105 |
write_json(args.output_dir / "summary.json", summary)
|
| 106 |
report = [
|
| 107 |
+
f"# {display_name} Future/Current Task Probes",
|
| 108 |
"",
|
| 109 |
f"- Run ID: `{args.run_id}`",
|
| 110 |
f"- Shards: `{len(args.shard_dir)}`",
|