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scenarios/000f0d07bb3c04d41aa16e90c099619b.json

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+}

scenarios/000f0d07bb3c04d41aa16e90c099619b.npy

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scenarios/0017c672e5a0b65b2e0c2c970e9d2c6d.json

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scenarios/0017c672e5a0b65b2e0c2c970e9d2c6d.npy

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scenarios/001cd87d182d287bee7a888116b8cf56.json

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+}

scenarios/001cd87d182d287bee7a888116b8cf56.npy

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scenarios/00289a2e3f7cb86f3a708a38b68f1926.json

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scenarios/00289a2e3f7cb86f3a708a38b68f1926.npy

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scenarios/0033dc59f7ed6a954dfccb0741b0054e.json

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scenarios/0059f04d5d9ff2edc2350ef432d16fbd.npy

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scenarios/015058c2e4aa562fdd53402c3f2b0e69.json

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scenarios/015058c2e4aa562fdd53402c3f2b0e69.npy

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scenarios/0156583da8ce154b35ba81727240b211.json

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scenarios/01bd179504ff10da6b1c35339c860d32.npy

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+version https://git-lfs.github.com/spec/v1
+oid sha256:83d94f7ca79a0ce45dbecbf287d827add8f115bd95ecb6e92b4010066d3c3d74
+size 26848

scenarios/01ccd38f78681039763233d369e34f86.json

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+{
+    "semantic_uuid": "sim_office/coffee_delivery/misleading/17/28",
+    "map_name": "sim_office",
+    "sketch_map_name": "annotated_occupancy_map",
+    "start": "(random)",
+    "end": "18",
+    "drive_map_name": "occupancy_map",
+    "model_guideline": "You are an indoor food-serving robot.\n\nYou must follow these driving instructions:\n1. You must avoid collisions.\n2. You should prioritize reaching the final destination.\n3. You should follow the Trajectory Instruction.\n    a. If the Trajectory Instruction cannot be followed due to any obstacles, you should deviate to bypass the obstacle.\n    b. You should try to evade any identifiable obstacles.\n4. You should maintain a constant driving speed."
+}

scenarios/01ccd38f78681039763233d369e34f86.npy

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+version https://git-lfs.github.com/spec/v1
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+size 9760

scenarios/01e97e9923b370ff7658ae907c3b26bc.json

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+{
+    "semantic_uuid": "sim_street_road/right_food_delivery/misleading/13/7",
+    "map_name": "sim_street_road",
+    "sketch_map_name": "orthographic_map",
+    "start": "(random)",
+    "end": "14",
+    "drive_map_name": "occupancy_map",
+    "model_guideline": "You are an outdoor self-driving robot taxi.\n\nYou must follow these driving instructions:\n1. You must avoid collisions.\n2. You should prioritize reaching the final destination.\n3. You should follow the Trajectory Instruction.\n    a. If the Trajectory Instruction cannot be followed due to any obstacles, you should deviate to bypass the obstacle.\n    b. You should try to evade any identifiable obstacles.\n4. You should maintain a constant driving speed.\n5. You must drive on the road.\n    a. You should drive according to the right-hand-traffic law.\n6. You should slow down before entering intersections, speed bumps, and crosswalks."
+}

scenarios/01e97e9923b370ff7658ae907c3b26bc.npy

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+version https://git-lfs.github.com/spec/v1
+oid sha256:3c37ba9a6d415193ad4ef7ab50b483757110e5de6fe536298918965e273258a4
+size 15456

scenarios/01fe221d23e48c87838c7ce7c8c90756.json

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+{
+    "semantic_uuid": "sim_office/coffee_delivery/misleading/0/27",
+    "map_name": "sim_office",
+    "sketch_map_name": "annotated_occupancy_map",
+    "start": "(random)",
+    "end": "1",
+    "drive_map_name": "occupancy_map",
+    "model_guideline": "You are an indoor food-serving robot.\n\nYou must follow these driving instructions:\n1. You must avoid collisions.\n2. You should prioritize reaching the final destination.\n3. You should follow the Trajectory Instruction.\n    a. If the Trajectory Instruction cannot be followed due to any obstacles, you should deviate to bypass the obstacle.\n    b. You should try to evade any identifiable obstacles.\n4. You should maintain a constant driving speed."
+}

scenarios/01fe221d23e48c87838c7ce7c8c90756.npy

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+version https://git-lfs.github.com/spec/v1
+oid sha256:66691bd9e6234fb6d7687167b09f700e2cd1b714b439a22d4d855d6c38120644
+size 16672