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README.md

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 SpaceSense-Bench is a high-fidelity simulation-based multi-modal (RGB, Depth, LiDAR Point Cloud) dataset for spacecraft component-level semantic understanding, containing **136 satellite models** with synchronized multi-modal data.
 
-> **Update (2026-05-19).** Following [issue #5](https://github.com/wuaodi/SpaceSense-Bench/issues/5), the `pose_ground_truth.csv` for all 136 spacecraft has been regenerated to fix a frame-timing misalignment with the rendered sensor data. The RGB / depth / segmentation / lidar files themselves are unchanged. All `raw/<sat>.tar.gz` archives have been re-uploaded with the corrected pose CSVs. The repair tool is open-sourced at [SpaceSense-Toolkit/repair](https://github.com/wuaodi/SpaceSense-Bench/tree/main/SpaceSense-Toolkit/repair). Thanks to @zstar239 for the original report.
+> **Update (2026-05-19).** Following [issue #5](https://github.com/wuaodi/SpaceSense-Bench/issues/5), the `pose_ground_truth.csv` for all 136 spacecraft has been regenerated to fix a frame-timing misalignment with the rendered sensor data. The RGB / depth / segmentation / lidar files themselves are unchanged. All `raw/<sat>.tar.gz` archives have been re-uploaded with the corrected pose CSVs.  Thanks to @zstar239 for the original report.
 
 ![teaser](https://cdn-uploads.huggingface.co/production/uploads/65a5e3a86145ebc6e7fefb20/e8ehYJXlWgR7vhq7LDLwM.png)