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cy0307
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ropedia-xperience-10m-task-baselines

Robotics
PyTorch
xperience10m_task_baseline_suite
embodied-ai
multimodal
xperience-10m
baseline
evaluation
Model card Files
xet
 Community
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Files changed (15) hide show
  1. data/live_publication_status.json +350 -239
  2. data/mirror_parity.json +66 -256
  3. data/publication_audit.json +3 -3
  4. data/website_integrity.json +2 -2
  5. docs/data/live_publication_status.json +350 -239
  6. docs/data/mirror_parity.json +66 -256
  7. docs/data/publication_audit.json +3 -3
  8. docs/data/website_integrity.json +2 -2
  9. docs/index.html +1 -1
  10. index.html +1 -1
  11. metrics/live_publication_status.json +350 -239
  12. metrics/mirror_parity.json +66 -256
  13. metrics/publication_audit.json +3 -3
  14. metrics/website_integrity.json +2 -2
  15. scripts/sync_hf_publish_mirrors.py +7 -1
data/live_publication_status.json CHANGED
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2781
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2795
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2802
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2816
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2828
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2830
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2831
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2832
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2833
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2834
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2835
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2850
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2851
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2852
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2853
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2854
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2855
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@@ -439,45 +432,45 @@
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@@ -1562,7 +1555,7 @@
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1563
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1564
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1566
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1567
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@@ -1574,83 +1567,40 @@
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@@ -1801,7 +1751,7 @@
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@@ -1813,83 +1763,40 @@
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@@ -1996,44 +1903,44 @@
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2400
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2402
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2403
  "title": "HF artifact card links current result packages",
2404
  "url": "https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts/raw/main/README.md",
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2430
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2431
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2432
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2780
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2781
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2795
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2796
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2797
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2822
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2828
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2830
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2831
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2832
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+ ]
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+ "Tasks 13-20"
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+ ]
2853
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2855
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docs/data/mirror_parity.json CHANGED
@@ -1,23 +1,16 @@
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  {
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- "status": "fail",
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- "generated_at_utc": "2026-06-16T04:57:01+00:00",
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  "hf_root": "hf_publish",
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  "summary": {
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  "group_count": 426,
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- "hf_model": 2
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- }
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  "checks": [
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  {
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  "name": "repo_hf_space_artifact_model_data_parity",
20
- "status": "fail"
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  },
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  {
23
  "name": "repo_hf_visual_asset_parity",
@@ -439,45 +432,45 @@
439
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@@ -832,44 +825,44 @@
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- "sha256": "e2be4deb4962466b1064439be394dc99218c65d184a3a8ba016a75dc9264ddd4"
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  "mirrors": {
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840
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  "bytes": 7712,
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- "sha256": "e2be4deb4962466b1064439be394dc99218c65d184a3a8ba016a75dc9264ddd4"
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  "hf_artifacts_data": {
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  "path": "hf_artifacts:data/publication_audit.json",
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  "hf_artifacts": {
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- "sha256": "e2be4deb4962466b1064439be394dc99218c65d184a3a8ba016a75dc9264ddd4"
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868
  "hf_model": {
869
  "path": "hf_model:metrics/publication_audit.json",
870
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- "sha256": "e2be4deb4962466b1064439be394dc99218c65d184a3a8ba016a75dc9264ddd4"
873
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875
  "failures": []
@@ -1469,44 +1462,44 @@
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1470
  "exists": true,
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1472
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1473
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1474
  "mirrors": {
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1477
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1478
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1479
- "sha256": "71e085306683340a2d7d836db176fd751a45ec3929b1481ec1bcf88b92b111e3"
1480
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1481
  "hf_artifacts_data": {
1482
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1483
  "exists": true,
1484
  "bytes": 21795,
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- "sha256": "71e085306683340a2d7d836db176fd751a45ec3929b1481ec1bcf88b92b111e3"
1486
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1487
  "hf_artifacts": {
1488
  "path": "hf_artifacts:docs/data/scope_claims_audit.json",
1489
  "exists": true,
1490
  "bytes": 21795,
1491
- "sha256": "71e085306683340a2d7d836db176fd751a45ec3929b1481ec1bcf88b92b111e3"
1492
  },
1493
  "hf_model_data": {
1494
  "path": "hf_model:data/scope_claims_audit.json",
1495
  "exists": true,
1496
  "bytes": 21795,
1497
- "sha256": "71e085306683340a2d7d836db176fd751a45ec3929b1481ec1bcf88b92b111e3"
1498
  },
1499
  "hf_model_docs_data": {
1500
  "path": "hf_model:docs/data/scope_claims_audit.json",
1501
  "exists": true,
1502
  "bytes": 21795,
1503
- "sha256": "71e085306683340a2d7d836db176fd751a45ec3929b1481ec1bcf88b92b111e3"
1504
  },
1505
  "hf_model": {
1506
  "path": "hf_model:metrics/scope_claims_audit.json",
1507
  "exists": true,
1508
  "bytes": 21795,
1509
- "sha256": "71e085306683340a2d7d836db176fd751a45ec3929b1481ec1bcf88b92b111e3"
1510
  }
1511
  },
1512
  "failures": []
@@ -1562,7 +1555,7 @@
1562
  },
1563
  {
1564
  "name": "data/source_alignment_audit.json",
1565
- "status": "fail",
1566
  "local": {
1567
  "path": "repo:docs/data/source_alignment_audit.json",
1568
  "exists": true,
@@ -1574,83 +1567,40 @@
1574
  "path": "hf_space:data/source_alignment_audit.json",
1575
  "exists": true,
1576
  "bytes": 4432,
1577
- "sha256": "c5401a313bcc68152e590cf06fa7c5219d42617566dff9cf82cc80905a4c288e"
1578
  },
1579
  "hf_artifacts_data": {
1580
  "path": "hf_artifacts:data/source_alignment_audit.json",
1581
  "exists": true,
1582
  "bytes": 4432,
1583
- "sha256": "c5401a313bcc68152e590cf06fa7c5219d42617566dff9cf82cc80905a4c288e"
1584
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1585
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@@ -1996,44 +1903,44 @@
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1599
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1603
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1604
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1605
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1606
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1751
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1752
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1753
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1754
+ "status": "pass",
1755
  "local": {
1756
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1757
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1763
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1800
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1802
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1903
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1930
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1941
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1944
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1945
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1946
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3876
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3877
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4080
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4081
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4082
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4093
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4099
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4110
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4111
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4115
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4116
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4117
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13949
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13950
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13951
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13952
+ "failures": []
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
13953
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metrics/publication_audit.json CHANGED
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1
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2
  "status": "pass",
3
- "generated_at_utc": "2026-06-16T04:57:05+00:00",
4
  "checks": [
5
  {
6
  "name": "required_publication_assets_present",
@@ -212,7 +212,7 @@
212
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213
  "root": "hf_publish/artifacts",
214
  "exists": true,
215
- "file_count": 1829,
216
  "text_file_count": 793,
217
  "largest_file": {
218
  "path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
@@ -223,7 +223,7 @@
223
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224
  "root": "hf_publish/model",
225
  "exists": true,
226
- "file_count": 2246,
227
  "text_file_count": 951,
228
  "largest_file": {
229
  "path": "pytorch_model.bin",
 
1
  {
2
  "status": "pass",
3
+ "generated_at_utc": "2026-06-16T05:07:05+00:00",
4
  "checks": [
5
  {
6
  "name": "required_publication_assets_present",
 
212
  "hf_artifact_bundle": {
213
  "root": "hf_publish/artifacts",
214
  "exists": true,
215
+ "file_count": 1876,
216
  "text_file_count": 793,
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  "largest_file": {
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  "path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
 
223
  "hf_model_bundle": {
224
  "root": "hf_publish/model",
225
  "exists": true,
226
+ "file_count": 2299,
227
  "text_file_count": 951,
228
  "largest_file": {
229
  "path": "pytorch_model.bin",
metrics/website_integrity.json CHANGED
@@ -1,6 +1,6 @@
1
  {
2
  "status": "pass",
3
- "generated_at_utc": "2026-06-16T04:56:57+00:00",
4
  "docs_root": "docs",
5
  "site_base": "/ropedia-xperience-10m-task-suite/",
6
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@@ -336,7 +336,7 @@
336
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337
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338
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339
- "bytes": 123218,
340
  "top_level_type": "dict"
341
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342
  {
 
1
  {
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  "status": "pass",
3
+ "generated_at_utc": "2026-06-16T05:06:53+00:00",
4
  "docs_root": "docs",
5
  "site_base": "/ropedia-xperience-10m-task-suite/",
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  "summary": {
 
336
  },
337
  {
338
  "path": "data/live_publication_status.json",
339
+ "bytes": 126966,
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  {
scripts/sync_hf_publish_mirrors.py CHANGED
@@ -43,7 +43,7 @@ TIER2_CARD_BLOCK = """
43
 
44
  The public-sample task surface is now one unified 20-task suite in
45
  `TASK_SUITE_20.md` and `docs/data/task_suite_20.json`. Tasks 1-12 are the
46
- original sample tasks; tasks 13-20 reuse the same 20-frame windows, 5-frame
47
  stride, feature manifest, chronological split, and minimal/neural head pattern.
48
  The historical `tier2_task_suite` path is retained only for stable artifact
49
  links to tasks 13-20.
@@ -140,7 +140,13 @@ def ensure_tier2_card_links(hf_root: Path, *, dry_run: bool) -> list[str]:
140
  if not path.exists():
141
  continue
142
  text = path.read_text(encoding="utf-8")
 
 
 
 
143
  if TIER2_MARKER in text:
 
 
144
  continue
145
  insert_before = "\n## Dataset Boundary" if relative_path.startswith("artifacts/") else "\n## Start Here"
146
  if insert_before in text:
 
43
 
44
  The public-sample task surface is now one unified 20-task suite in
45
  `TASK_SUITE_20.md` and `docs/data/task_suite_20.json`. Tasks 1-12 are the
46
+ original sample tasks; Tasks 13-20 reuse the same 20-frame windows, 5-frame
47
  stride, feature manifest, chronological split, and minimal/neural head pattern.
48
  The historical `tier2_task_suite` path is retained only for stable artifact
49
  links to tasks 13-20.
 
140
  if not path.exists():
141
  continue
142
  text = path.read_text(encoding="utf-8")
143
+ text = text.replace(
144
+ "original sample tasks; tasks 13-20 reuse",
145
+ "original sample tasks; Tasks 13-20 reuse",
146
+ )
147
  if TIER2_MARKER in text:
148
+ if not dry_run:
149
+ path.write_text(text, encoding="utf-8")
150
  continue
151
  insert_before = "\n## Dataset Boundary" if relative_path.startswith("artifacts/") else "\n## Start Here"
152
  if insert_before in text: