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-            <b>Illustration of Nu-X dataset</b>. 
+            <b>Illustration of Nu-X dataset</b>. Explanation serves as a guide for human learning and understanding. Particularly in the context of end-to-end autonomous driving (AD) systems, human users often seek explanations to bridge the gap between sensor inputs and AD behaviors. Currently, there is no dataset providing such explanations for nuScenes, a widely utilized dataset in AD research. To address this gap and facilitate interpretability-focused research on nuScenes, we introduce Nu-X, a comprehensive, large-scale, human-labeled explanation dataset. Nu-X offers detailed contextual information and diverse linguistic expressions for each of the 34,000 key frames in nuScenes.
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