Update README.md

README.md

@@ -13,11 +13,10 @@ size_categories:
 - 10K<n<100K
 ---
 
-# SOCOv1
+# SOCO
 
-SOCOv1 is a structured object correspondence dataset with rendered object images, per-view keypoint annotations, pair files, and metadata.
-
-The dataset is distributed on the Hugging Face Hub as three zip archives plus an unpacked `Metadata/` folder. Download the repository and unzip the archives in place to obtain the full folder tree.
+SOCO is a semanti object correspondence dataset with images, per-view keypoint annotations, pair annotations that for evaluation of visual features.
+Evaluation code is available at the [OmniProbe repo](https://github.com/GenIntel/OmniProbe).
 
 ## Repository Layout
 
@@ -91,11 +90,22 @@ snapshot_download(
 After extraction the folder layout maps directly onto a dataset-root path: point your
 loader at the `SOCOv1/` directory and read images from `Images/<category>/` and pairs from
 the relevant `PairAnnotations/` subfolder. For evaluation, use `PairAnnotations/intra`
-(within-category pairs); for training and evaluating a probe, use the predefined
+(within-category pairs). For training and evaluating a probe, use the predefined
 `PairAnnotations/trainsplits/train` and `PairAnnotations/trainsplits/test` splits. Each
-pair file references two views and their corresponding keypoints; per-view keypoints are
+pair file references two views and their corresponding keypoints. Per-view keypoints are
 also available under `KeypointAnnotations/<category>/`.
 
 ## Citation
 
-Citation information will be added with the public release.
+```
+@misc{duenkel2026soco,
+  title         = {SOCO: Benchmarking Semantic Object Correspondence in Vision Foundation Models},
+  author        = {D{\"u}nkel, Olaf and Sunagad, Basavaraj and Wang, Haoran and
+                   Hoffmann, David T. and Theobalt, Christian and Kortylewski, Adam},
+  year          = {2026},
+  eprint        = {2605.31597},
+  archivePrefix = {arXiv},
+  primaryClass  = {cs.CV},
+  url           = {https://arxiv.org/abs/2605.31597}
+}
+```