Dataset card: all 430 files uploaded (Phase 2 complete)

README.md

@@ -98,15 +98,11 @@ Graph-reordering permutations are provided for seven methods:
 | `bioasq1m-1024-ip` | 1024 | IP | cagra, nsg, nndescent, diskann | 46 | 4.56 GiB |
 | `bioasq10m-1024-ip` | 1024 | IP | nndescent | 11 | 15.11 GiB |
 | `c45m-1536-ip` | 1536 | IP | nndescent | 11 | 7.34 GiB |
+| `deep40m-96-euclidean` | 96 | L2 | cagra, nndescent | 12 | 66.68 GiB |
+| `deep50m-96-euclidean` † | 96 | L2 | nsg | 1 | 9.81 GiB |
 | `sift_200nn.knng` | 128 | L2 | 200-NN ground-truth graph | 1 | 0.75 GiB |
-| **Phase 1 total** | | | | **417** | **96.84 GiB** |
-| `deep40m-96-euclidean` 🚧 | 96 | L2 | cagra, nndescent | 12 | 66.68 GiB |
-| `deep50m-96-euclidean` 🚧 † | 96 | L2 | nsg | 1 | 9.81 GiB |
 | **Total** | | | | **430** | **173.33 GiB** |
 
-> 🚧 **Upload in progress.** The `deep40m` / `deep50m` indices are being added in a
-> follow-up batch. Everything above them is complete.
-
 These cover the 12 datasets benchmarked in the paper. († `deep50m` is an extra scale
 point not reported in the paper.) Larger configurations are covered by fewer index types
 simply because not every index could be built at that scale within our compute budget.