Complete LCS-10000 release after full file and SHA-256 verification

FILES.json

@@ -38,8 +38,8 @@
     },
     {
       "path": "README.md",
-      "bytes": 49110,
-      "sha256": "fd9dc407b9426e756ca8ad4cfe6ee796a4cab88442c4af4558da08680930464f"
+      "bytes": 49065,
+      "sha256": "811053111589246c55810cc6b624535f0f5a944a1b20d1874a9e8bcd35fe0d06"
     },
     {
       "path": "encoders.json",
@@ -5026,7 +5026,7 @@
     }
   ],
   "total_files": 606,
-  "total_bytes": 717452486863,
+  "total_bytes": 717452486818,
   "source_lcs_manifest_sha256": "bc439048824c510b471d4c8cf34b143471a49a50260906f210cb8a1723e971ed",
   "published_lcs_manifest_sha256": "f934b05aadf9b94039b207812033e48b1e2aefe43e0fd084b5508e6fd103dbed",
   "validation": {
@@ -5038,7 +5038,7 @@
     "knn_shot_subsets_nested": true,
     "uniar_repaired_array_hash_verified": true
   },
-  "release_status": "lcs10000_upload_in_progress",
+  "release_status": "complete",
   "inventory_note": "FILES.json and checksums.sha256 are excluded from the listed file count/hashes to avoid circular hashes.",
   "lcs10000_validation": {
     "all_arrays_finite": true,

README.md

@@ -56,7 +56,7 @@ This dataset provides cached representations for the **70 vision encoders / visu
 
 The release contains LCS-558K image patch features for RAVEL and other paired image–text probes, three matching language-model text feature arrays, and ImageNet-1K pooled image features for kNN and linear probes. Each encoder has its own metadata. The original NumPy arrays and storage precision are retained.
 
-**Release status:** **LCS-10000 upload in progress.** LCS-1000 and ImageNet200k are complete. `FILES.json` lists the expected larger-cache contents; new arrays become available as batches are committed.
+**Release status:** **Complete.** The LCS-1000, LCS-10000, and ImageNet200k release file paths, sizes, and SHA-256 values have been verified against the Hub.
 
 **Resources:** [Paper](https://arxiv.org/abs/2610.05413) · [Evaluation code](https://github.com/JuntaoTang/MLLM-VisionEncoder-Eval) · [MLLM Model Zoo and encoder weights](https://huggingface.co/336labs/VisionEncoder-to-MLLM-ModelZoo) · [Encoder catalog](encoders.json) · [File inventory](FILES.json)
 

checksums.sha256

@@ -1,6 +1,6 @@
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 da50ab668f491868ce523b2d62fdd65de12e047163150a11f2bd5ba05857ed38  LICENSES.md
-fd9dc407b9426e756ca8ad4cfe6ee796a4cab88442c4af4558da08680930464f  README.md
+811053111589246c55810cc6b624535f0f5a944a1b20d1874a9e8bcd35fe0d06  README.md
 cb69aaf14da9dc22644c914a1b40892d1e025cc25a4d494a4a6f2ba71bbbf41f  encoders.json
 54b5e86fc0a55f5dd4e00d973dd47c626e1c7d9163ae389a90eb513d6f748633  imagenet1k/train200k/export_manifest.json
 c0f64e28098e460ee5cd5716fefd2b1577c54755c5c3ea80dda9a843182ec9fd  imagenet1k/train200k/features/001_clip_openai__l14.npy