Add dataset visualization preview

.gitattributes

@@ -1,4 +1,5 @@
 *.tar filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
 *.md text
 *.json text
 *.csv text

README.md

@@ -190,16 +190,29 @@ LICENSE                   Dataset license statement.
 
 ## Dataset Viewer
 
-The Hugging Face Dataset Viewer is disabled for this release. The dataset is distributed as complete episode tar shards rather than a WebDataset-native sample layout. Disabling the viewer avoids repacking approximately 299 GB solely for viewer compatibility.
+The Hugging Face Dataset Viewer is disabled for this release because the dataset
+is distributed as complete episode tar shards rather than a WebDataset-native
+sample layout. The release was not repacked solely for viewer compatibility,
+which would require rewriting approximately 299 GB of packed data.
+
+The accompanying code repository provides a
+[local visualization tool](https://github.com/checo1092/egospatial-cl-code/blob/main/docs/visualization.md)
+for synchronized RGB, semantic-segmentation, LiDAR, and vehicle-state samples.
+
+![EgoSpatial-CL viewer showing synchronized images, LiDAR, and vehicle controls](docs/assets/viewer.png)
+
+Example: `Town06/val/episode_0008`, frame `83569`.
 
 ## Citation
 
 Please cite the dataset DOI after it is minted for the frozen `v1.0.0` release. Until then, cite this repository and version explicitly.
 
 ```text
-Sergio Delgadillo Marin. EgoSpatial-CL: A Spatially Controlled Multimodal Dataset for Continual Learning in Simulated Autonomous Navigation. Version 1.0.0. Hugging Face dataset repository: https://huggingface.co/datasets/checo1092/egospatial-cl
+Sergio Delgadillo Marín, Juan Humberto Sossa Azuela, and Erik Zamora Gómez. EgoSpatial-CL: A Spatially Controlled Multimodal Dataset for Continual Learning in Simulated Autonomous Navigation. Version 1.0.0. Hugging Face dataset repository: https://huggingface.co/datasets/checo1092/egospatial-cl
 ```
 
+All authors contributed equally to this work.
+
 ## Limitations
 
 EgoSpatial-CL is a simulated dataset. It does not provide continuous intra-sequence domain transitions, optical flow, dense depth, 2D/3D object boxes, or multi-view camera annotations. It should be used as a compact, spatially controlled dataset for navigation/control-oriented studies rather than as a replacement for large-scale perception datasets.