cy0307 commited on
Commit
8f27ee1
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1 Parent(s): db94f6b

Add files using upload-large-folder tool

Browse files
data/artifact_index.json CHANGED
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@@ -641,7 +641,7 @@
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  {
 
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"Cosmos3-Super Reasoner {spec['label']}",
179
  "model": args.model,
180
  "base_url": args.base_url,
181
  "media_mode": args.media_mode,
182
- "scope": "held_out_test_cosmos3_super_future_task_probe",
183
  "score_policy": (
184
- "GPU-backed Cosmos3-Super Reasoner future-task probe over real held-out "
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": "Cosmos3-Super Reasoner Future Task Probes",
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
- "# Cosmos3-Super Reasoner Future Task Probes",
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": "Cosmos3-Super Reasoner Future Task Probes",
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
- "# Cosmos3-Super Reasoner Future Task Probes",
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)}`",