Pin test download examples to the uploaded data revision and refresh integrity manifests

README.md

@@ -525,7 +525,7 @@ shasum -a 256 -c checksums.sha256
 
 ### 5.5 Download and read a public test subset
 
-Choose `evaluation/real-world/test-30` or `evaluation/simulation/test-30` to download only one public test subset. Replace `RELEASE_COMMIT_SHA` with the commit containing this release (from the HF Files and versions page), and use that same fixed revision for downloading and loading. The original training-data revision shown above predates this test release.
+Choose `evaluation/real-world/test-30` or `evaluation/simulation/test-30` to download one public test subset. The example is pinned to `578593ef28ee7a2d861ebf38162c928291b0d4a9`, which contains both test domains; downloading and loading use the same revision. The original training-data revision shown above predates this test release.
 
 ```python
 from pathlib import Path
@@ -534,7 +534,7 @@ from lerobot.datasets.lerobot_dataset import LeRobotDataset
 
 repo_id = "wzlllong/value-model-benchmark-training-data"
 prefix = "evaluation/real-world/test-30"
-revision = "RELEASE_COMMIT_SHA"
+revision = "578593ef28ee7a2d861ebf38162c928291b0d4a9"
 snapshot = snapshot_download(
     repo_id=repo_id, repo_type="dataset", revision=revision,
     allow_patterns=[f"{prefix}/**"], local_dir="./robovalue-data",

README_zh.md

@@ -496,7 +496,7 @@ shasum -a 256 -c checksums.sha256
 
 ### 5.5 下载并读取公开测试子集
 
-选择 `evaluation/real-world/test-30` 或 `evaluation/simulation/test-30`，仅下载其中一个公开测试子集。请在 HF 文件与版本页面找到包含本次测试数据发布的提交号，将 `RELEASE_COMMIT_SHA` 替换为该固定版本；下载与加载使用同一提交。上方训练示例的旧版本早于本测试集发布。
+选择 `evaluation/real-world/test-30` 或 `evaluation/simulation/test-30`，仅下载其中一个公开测试子集。下方示例固定到包含两个测试集的版本 `578593ef28ee7a2d861ebf38162c928291b0d4a9`，下载和加载使用同一提交。上方训练示例的旧版本早于本测试集发布。
 
 ```python
 from pathlib import Path
@@ -505,7 +505,7 @@ from lerobot.datasets.lerobot_dataset import LeRobotDataset
 
 repo_id = "wzlllong/value-model-benchmark-training-data"
 prefix = "evaluation/real-world/test-30"
-revision = "RELEASE_COMMIT_SHA"
+revision = "578593ef28ee7a2d861ebf38162c928291b0d4a9"
 snapshot = snapshot_download(
     repo_id=repo_id, repo_type="dataset", revision=revision,
     allow_patterns=[f"{prefix}/**"], local_dir="./robovalue-data",

evaluation/real-world/test-30/README.md

@@ -106,7 +106,7 @@ The catalog's video columns are file references, not decoded model observations.
 
 ## Download and load
 
-Download only this subset with a fixed published revision. **Replace `RELEASE_COMMIT_SHA` with the actual release commit SHA before running**; this placeholder is not a usable HF revision.
+The example is pinned to `578593ef28ee7a2d861ebf38162c928291b0d4a9`, which contains both public test sets, and downloads only this subset. Download and load using the same fixed revision.
 
 ```python
 from pathlib import Path
@@ -114,7 +114,7 @@ from huggingface_hub import snapshot_download
 
 repo_id = "wzlllong/value-model-benchmark-training-data"
 prefix = "evaluation/real-world/test-30"
-revision = "RELEASE_COMMIT_SHA"  # Replace with the published release commit SHA.
+revision = "578593ef28ee7a2d861ebf38162c928291b0d4a9"  # Fixed data revision containing both test domains.
 snapshot = snapshot_download(
     repo_id=repo_id,
     repo_type="dataset",

evaluation/real-world/test-30/README_zh.md

@@ -106,7 +106,7 @@ checksums.sha256                       发布文件完整性清单
 
 ## 单独下载与加载
 
-按固定发布版本仅下载此子集。**运行前应将 `RELEASE_COMMIT_SHA` 替换为实际发布提交的 SHA**，该占位文字不是可用的 HF revision。
+以下示例固定到包含两个公开测试集的版本 `578593ef28ee7a2d861ebf38162c928291b0d4a9`，仅下载本子集。下载和加载使用同一提交。
 
 ```python
 from pathlib import Path
@@ -114,7 +114,7 @@ from huggingface_hub import snapshot_download
 
 repo_id = "wzlllong/value-model-benchmark-training-data"
 prefix = "evaluation/real-world/test-30"
-revision = "RELEASE_COMMIT_SHA"  # 替换为实际发布提交的 SHA。
+revision = "578593ef28ee7a2d861ebf38162c928291b0d4a9"  # 包含两域测试集的固定发布版本。
 snapshot = snapshot_download(
     repo_id=repo_id,
     repo_type="dataset",

evaluation/real-world/test-30/checksums.sha256

@@ -1,5 +1,5 @@
-cfc7c8421dba46519670538a0b19aae701e6a27a8fb507c885d37b19cddfe272  README.md
-e1bcbcfebf06c4d15238910326c2b036f246d13c015078dc14693e980dc5bcf5  README_zh.md
+d41d446fcffb620ea46a39521eaecad93ce1d41bd8a6563b9d2e5892df2af342  README.md
+1d3e85bae54adae57f84573f46b3bb3f9829bb68a9d80b30535441471ff888c4  README_zh.md
 a377ffb50a1adf5354a8d65e9a90175b73cacb4a9800593cf1eaf89885f2f1df  TRAJECTORIES.md
 3cea0680a8709e160e87ec3c01f6b355a3e3956ee68c6b9ef5e628269c792e5a  annotations/csvc_solutions.json
 a3be4d8110975a3a3214b4446a5d31cf41b99a91dc104d5a8f45b3129635806b  annotations/episodes.jsonl

evaluation/simulation/test-30/README.md

@@ -118,7 +118,7 @@ Video paths and labels support browsing and evaluation. They are not decoded mod
 
 ## Download and load
 
-Use a fixed published revision to download only this subset. **Replace `RELEASE_COMMIT_SHA` with the actual release commit SHA before running.**
+The example is pinned to `578593ef28ee7a2d861ebf38162c928291b0d4a9`, which contains both public test sets, and downloads only this subset. Download and load using the same fixed revision.
 
 ```python
 from pathlib import Path
@@ -127,7 +127,7 @@ from lerobot.datasets.lerobot_dataset import LeRobotDataset
 
 repo_id = "wzlllong/value-model-benchmark-training-data"
 prefix = "evaluation/simulation/test-30"
-revision = "RELEASE_COMMIT_SHA"
+revision = "578593ef28ee7a2d861ebf38162c928291b0d4a9"
 snapshot = snapshot_download(
     repo_id=repo_id,
     repo_type="dataset",

evaluation/simulation/test-30/README_zh.md

@@ -118,7 +118,7 @@ checksums.sha256                       发布文件完整性清单
 
 ## 单独下载与加载
 
-使用固定发布版本仅下载本子集。**运行前将 `RELEASE_COMMIT_SHA` 替换为实际发布提交SHA。**
+以下示例固定到包含两个公开测试集的版本 `578593ef28ee7a2d861ebf38162c928291b0d4a9`，仅下载本子集。下载和加载使用同一提交。
 
 ```python
 from pathlib import Path
@@ -127,7 +127,7 @@ from lerobot.datasets.lerobot_dataset import LeRobotDataset
 
 repo_id = "wzlllong/value-model-benchmark-training-data"
 prefix = "evaluation/simulation/test-30"
-revision = "RELEASE_COMMIT_SHA"
+revision = "578593ef28ee7a2d861ebf38162c928291b0d4a9"
 snapshot = snapshot_download(
     repo_id=repo_id,
     repo_type="dataset",

evaluation/simulation/test-30/checksums.sha256

@@ -1,5 +1,5 @@
-63303abc522b2a43b05ff10edd36f17869baabde64c3eb1d425120d771b3f2e5  README.md
-cd5dc1e0392e4ebd819afec358deb16bfa5bd9a99e91d907944869d5c52e2403  README_zh.md
+6c8da1783d022cb6e184d27eedb2aeba549b1fe99c00330c97e3e36f1ab05fbf  README.md
+f32676bbae0e9e3b268911943684df78748f973466a9f413515007cbf78b4b1f  README_zh.md
 36ef94a87991421de07478d7d6667ff1755a93e45a8b173372b18c5ce9bc99ca  TRAJECTORIES.md
 c6609d781c66a153962e5c5c9412ba6289c4f0372d23d5a8c2f84842fa657130  annotations/annotation_provenance.json
 272dbff320bc7531dc0977a02eaa0a439e70b574394df28ff1420bec0ed8317b  annotations/csvc_solutions.json

subset_catalog.json

@@ -452,7 +452,7 @@
       "fps": 30,
       "camera_streams_per_episode": 3,
       "videos": 90,
-      "size_bytes": 382082555,
+      "size_bytes": 382082604,
       "duration_seconds": 916.6,
       "splits": {
         "train": "0:30"
@@ -517,7 +517,8 @@
         }
       ],
       "primary_camera": "observation.images.top_head",
-      "primary_video_column": "video_primary"
+      "primary_video_column": "video_primary",
+      "data_revision": "578593ef28ee7a2d861ebf38162c928291b0d4a9"
     },
     {
       "subset_id": "simulation-test-30",
@@ -600,7 +601,8 @@
       "primary_camera": "observation.images.front",
       "primary_video_column": "video_primary",
       "annotation_evidence_note": "ED/MS terminal labels and semantic alignment are user-attested; TRR/MEM terminal-label evidence remains pending independent verification.",
-      "size_bytes": 594581870
+      "size_bytes": 594582001,
+      "data_revision": "578593ef28ee7a2d861ebf38162c928291b0d4a9"
     }
   ],
   "planned_subsets": [],
@@ -608,5 +610,6 @@
   "publication_authorization": "All data were authorized before public release.",
   "pretty_name": "RoboValue Training and Evaluation Data",
   "training_data_revision": "7fd21cb2519b4d59cbe9fe8b23cfdf477e3ad145",
-  "revision_note": "data_revision and training_data_revision refer to existing training payloads; use the commit containing both public test subsets for evaluation/real-world/test-30 and evaluation/simulation/test-30."
+  "revision_note": "data_revision and training_data_revision refer to existing training payloads; use the commit containing both public test subsets for evaluation/real-world/test-30 and evaluation/simulation/test-30.",
+  "evaluation_data_revision": "578593ef28ee7a2d861ebf38162c928291b0d4a9"
 }