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README.md

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-# RADIUS_DataSet550
-
-RADIUS_DataSet550 is the first release of the safety-critical long-tail driving scenario dataset. It contains **550 instances** in total, including **500 safety-critical long-tail scenes** and **50 normal scenes**.
-
-## Dataset Contents
-Each instance **X** is released as an image plus JSON sidecars:
-
-- `dataX.png`: the rendered driving scene.
-- `dataX.json`: taxonomy and post-decision supervision, including:
-  - classification (Level-3)
-  - `lt_ele` (dominant element)
-  - `acc_factors`
-  - `post_dec` (reference level and/or plan text)
-- `dataX_aligned.json`: simulator-ready coarse state for Phase-1 Safety (map/relations/kinematics abstraction).
-- `dataX_gt.json`: pre-decision action tags for Phase-1 scoring (per-action collision/hazard/safe, and optional best action).
-
-## Design Principles
-The schema is intentionally minimal:
-
-- `dataX_aligned.json` is only as complex as needed for deterministic Safety rollout.
-- `dataX.json` carries the Phase-2/3 labels required for SAR diagnosis and cross-phase consistency metrics.
-
-## Directory Structure
-```
-RADIUS_DataSet550/
-├── json/                # JSON sidecars for each instance
-├── pic/                 # Rendered scene images
-├── aligned_dataset.py   # Utility script for alignment
-├── example.json
-├── example_plot.png
-└── README.md
-```
-
-## Notes
-- File naming follows the `dataX.*` convention across image and JSON sidecars.
-- For benchmark usage, refer to the `RADIUS_benchmark` module documentation.
-
-## License
-This project is released under the terms of the MIT License. The complete license text can be found in the LICENSE file located at the root of this repository.
+# RADIUS_DataSet550
+
+RADIUS_DataSet550 is the first release of the safety-critical long-tail driving scenario dataset. It contains **550 instances** in total, including **500 safety-critical long-tail scenes** and **50 normal scenes**.
+
+## Dataset Contents
+Each instance **X** is released as an image plus JSON sidecars:
+
+- `dataX.png`: the rendered driving scene.
+- `dataX.json`: taxonomy and post-decision supervision, including:
+  - classification (Level-3)
+  - `lt_ele` (dominant element)
+  - `acc_factors`
+  - `post_dec` (reference level and/or plan text)
+- `dataX_aligned.json`: simulator-ready coarse state for Phase-1 Safety (map/relations/kinematics abstraction).
+- `dataX_gt.json`: pre-decision action tags for Phase-1 scoring (per-action collision/hazard/safe, and optional best action).
+
+## Design Principles
+The schema is intentionally minimal:
+
+- `dataX_aligned.json` is only as complex as needed for deterministic Safety rollout.
+- `dataX.json` carries the Phase-2/3 labels required for SAR diagnosis and cross-phase consistency metrics.
+
+## Directory Structure
+```
+RADIUS_DataSet550/
+├── json/                # JSON sidecars for each instance
+├── pic/                 # Rendered scene images
+├── aligned_dataset.py   # Utility script for alignment
+├── example.json
+├── example_plot.png
+└── README.md
+```
+
+## Notes
+- File naming follows the `dataX.*` convention across image and JSON sidecars.
+- For benchmark usage, refer to the `RADIUS_benchmark` module documentation.
+
+## License
+MIT License