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@@ -49,15 +49,16 @@ The videos below show three examples of the tasks:
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  * action modality: 34D which includes joint states for the two arms, gripper joints, pan and tilt joints, torso joint, and front and back wheels.
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  * observation modalities
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  * observation.state: 13D
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- * observation.image.world__world_camera:
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- * observation.image.external_camera:
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- * observation.image.world__robot__right_arm_camera_color_frame__right_hand_camera:
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- * observation.image.world__robot__left_arm_camera_color_frame__left_hand_camera:
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- * observation.image.world__robot__camera_link__head_camera:
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- *
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-
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- [Insert Modality and Format Classification]
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-
 
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  ## Dataset Quantification
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  Record Count:
 
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  * action modality: 34D which includes joint states for the two arms, gripper joints, pan and tilt joints, torso joint, and front and back wheels.
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  * observation modalities
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  * observation.state: 13D
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+ * observation.image.world__world_camera: 512x512 images of RGB, depth and semantic segmentation renderings stored as mp4 videos.
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+ * observation.image.external_camera: 512x512 images of RGB, depth and semantic segmentation renderings stored as mp4 videos.
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+ * observation.image.world__robot__right_arm_camera_color_frame__right_hand_camera: 512x512 images of RGB, depth and semantic segmentation renderings stored as mp4 videos.
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+ * observation.image.world__robot__left_arm_camera_color_frame__left_hand_camera: 512x512 images of RGB, depth and semantic segmentation renderings stored as mp4 videos.
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+ * observation.image.world__robot__camera_link__head_camera: 512x512 images of RGB, depth and semantic segmentation renderings stored as mp4 videos.
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+
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+ The videos below illustrate the different camera modalities for a single trajectory.
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+ ![rgb](./assets/episode_000057.gif)
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+ ![depth](./assets/episode_000057_depth.gif)
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+ ![segmentation](./assets/episode_000057_semantic.gif)
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  ## Dataset Quantification
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  Record Count: