[
  {
    "scene_token": "da41ecbc644b4915b84bb732e35ebf8c",
    "frame_token": "7e4c3282bc2a4402b5d1d6705f9eb844",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. JPEG compression. B. Motion blur. C. Color quant. D. Saturate",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-52-26-0400__CAM_FRONT__1535658934012637.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_LEFT__1535658934004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_RIGHT__1535658934020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-52-26-0400__CAM_BACK__1535658934037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-52-26-0400__CAM_BACK_LEFT__1535658934047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_BACK_RIGHT__1535658934028113.jpg"
    }
  },
  {
    "scene_token": "da41ecbc644b4915b84bb732e35ebf8c",
    "frame_token": "7e4c3282bc2a4402b5d1d6705f9eb844",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene considering the color quantization effect? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a gray sedan to the back of the ego vehicle, a gray sedan to the front of the ego vehicle, and a black SUV to the front of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.5073,0.5778>, <c2,CAM_FRONT,0.4886,0.5481>, and <c3,CAM_FRONT,0.6058,0.5769>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-52-26-0400__CAM_FRONT__1535658934012637.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_LEFT__1535658934004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_RIGHT__1535658934020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-52-26-0400__CAM_BACK__1535658934037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-52-26-0400__CAM_BACK_LEFT__1535658934047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_BACK_RIGHT__1535658934028113.jpg"
    }
  },
  {
    "scene_token": "da41ecbc644b4915b84bb732e35ebf8c",
    "frame_token": "7e4c3282bc2a4402b5d1d6705f9eb844",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.5073,0.5778> under the color quantization effect? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "A, Explanation: The object is a gray sedan moving ahead, and the color quantization does not affect its movement status.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-52-26-0400__CAM_FRONT__1535658934012637.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_LEFT__1535658934004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_RIGHT__1535658934020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-52-26-0400__CAM_BACK__1535658934037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-52-26-0400__CAM_BACK_LEFT__1535658934047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_BACK_RIGHT__1535658934028113.jpg"
    }
  },
  {
    "scene_token": "da41ecbc644b4915b84bb732e35ebf8c",
    "frame_token": "7e4c3282bc2a4402b5d1d6705f9eb844",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under color quantization? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice that black SUV at front camera. The object is stationary, so the ego vehicle should continue ahead at the same speed. Secondly, notice that gray sedan at front camera. The object is stationary, so the ego vehicle should continue ahead at the same speed. Thirdly, notice that gray sedan at back camera. The object is moving ahead, so the ego vehicle should continue ahead at the same speed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-52-26-0400__CAM_FRONT__1535658934012637.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_LEFT__1535658934004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_RIGHT__1535658934020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-52-26-0400__CAM_BACK__1535658934037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-52-26-0400__CAM_BACK_LEFT__1535658934047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_BACK_RIGHT__1535658934028113.jpg"
    }
  },
  {
    "scene_token": "da41ecbc644b4915b84bb732e35ebf8c",
    "frame_token": "7e4c3282bc2a4402b5d1d6705f9eb844",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.5073,0.5778> a traffic sign or a road barrier under the color quantization effect?",
    "answer": "No, Explanation: The object is a gray sedan, not a traffic sign or road barrier, and the color quantization does not change its category.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-52-26-0400__CAM_FRONT__1535658934012637.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_LEFT__1535658934004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_RIGHT__1535658934020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-52-26-0400__CAM_BACK__1535658934037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-52-26-0400__CAM_BACK_LEFT__1535658934047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_BACK_RIGHT__1535658934028113.jpg"
    }
  },
  {
    "scene_token": "da41ecbc644b4915b84bb732e35ebf8c",
    "frame_token": "7e4c3282bc2a4402b5d1d6705f9eb844",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK,0.5073,0.5778> considering the color quantization effect? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue, and the probability is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-52-26-0400__CAM_FRONT__1535658934012637.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_LEFT__1535658934004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_RIGHT__1535658934020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-52-26-0400__CAM_BACK__1535658934037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-52-26-0400__CAM_BACK_LEFT__1535658934047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_BACK_RIGHT__1535658934028113.jpg"
    }
  },
  {
    "scene_token": "da41ecbc644b4915b84bb732e35ebf8c",
    "frame_token": "7e4c3282bc2a4402b5d1d6705f9eb844",
    "question_type": "robust_qas",
    "question": "In this scenario with color quantization, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, accelerate, and continue ahead.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-52-26-0400__CAM_FRONT__1535658934012637.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_LEFT__1535658934004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_RIGHT__1535658934020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-52-26-0400__CAM_BACK__1535658934037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-52-26-0400__CAM_BACK_LEFT__1535658934047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_BACK_RIGHT__1535658934028113.jpg"
    }
  },
  {
    "scene_token": "da41ecbc644b4915b84bb732e35ebf8c",
    "frame_token": "7e4c3282bc2a4402b5d1d6705f9eb844",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by color quantization, causing a reduction in color detail. Despite this, key objects remain identifiable: a gray sedan is located at the back of the ego vehicle (<c1,CAM_BACK,0.5073,0.5778>), another gray sedan is stationary at the front (<c2,CAM_FRONT,0.4886,0.5481>), and a black SUV is also stationary at the front (<c3,CAM_FRONT,0.6058,0.5769>). The road appears darker, and the sky has a limited color palette, but the overall scene structure is still discernible.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-52-26-0400__CAM_FRONT__1535658934012637.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_LEFT__1535658934004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_RIGHT__1535658934020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-52-26-0400__CAM_BACK__1535658934037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-52-26-0400__CAM_BACK_LEFT__1535658934047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_BACK_RIGHT__1535658934028113.jpg"
    }
  },
  {
    "scene_token": "ab6eea0e06c84f70be411a9d36636a7a",
    "frame_token": "2d493b2677f84ca190bb6c205899251a",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Sensor failure. B. Zoom blur. C. Color quant. D. Dark",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915624362465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915624354917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915624369956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915624387570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915624397295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915624377813.jpg"
    }
  },
  {
    "scene_token": "ab6eea0e06c84f70be411a9d36636a7a",
    "frame_token": "2d493b2677f84ca190bb6c205899251a",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_FRONT_RIGHT,0.8911,0.4620> under colorquant corruption? Please select the correct answer from the following options: A. Turn right. B. Turn left. C. Going ahead.",
    "answer": "C, Explanation: The object is a white truck moving ahead, and the colorquant corruption does not affect its trajectory.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915624362465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915624354917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915624369956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915624387570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915624397295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915624377813.jpg"
    }
  },
  {
    "scene_token": "ab6eea0e06c84f70be411a9d36636a7a",
    "frame_token": "2d493b2677f84ca190bb6c205899251a",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black pickup truck to the back of the ego vehicle, a white truck to the front right of the ego vehicle, a yellow truck to the front of the ego vehicle, and a black SUV to the back of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.5364,0.4806>, <c2,CAM_FRONT_RIGHT,0.8911,0.4620>, <c3,CAM_FRONT,0.2911,0.4630>, and <c4,CAM_BACK,0.7927,0.5056>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915624362465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915624354917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915624369956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915624387570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915624397295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915624377813.jpg"
    }
  },
  {
    "scene_token": "ab6eea0e06c84f70be411a9d36636a7a",
    "frame_token": "2d493b2677f84ca190bb6c205899251a",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.5364,0.4806> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a black pickup truck, and the colorquant corruption does not change its classification.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915624362465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915624354917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915624369956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915624387570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915624397295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915624377813.jpg"
    }
  },
  {
    "scene_token": "ab6eea0e06c84f70be411a9d36636a7a",
    "frame_token": "2d493b2677f84ca190bb6c205899251a",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.5364,0.4806> under colorquant corruption?",
    "answer": "Back up.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915624362465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915624354917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915624369956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915624387570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915624397295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915624377813.jpg"
    }
  },
  {
    "scene_token": "ab6eea0e06c84f70be411a9d36636a7a",
    "frame_token": "2d493b2677f84ca190bb6c205899251a",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, accelerate and go ahead, brake gently to a stop, decelerate gradually without braking, slightly offset to the left, change to the left lane, turn left.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915624362465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915624354917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915624369956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915624387570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915624397295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915624377813.jpg"
    }
  },
  {
    "scene_token": "ab6eea0e06c84f70be411a9d36636a7a",
    "frame_token": "2d493b2677f84ca190bb6c205899251a",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, which alters the color representation of the scene. Despite this, key objects are identifiable: a black pickup truck is stationary at the back of the ego vehicle with coordinates <c1,CAM_BACK,0.5364,0.4806>. A white truck is moving to the front right with coordinates <c2,CAM_FRONT_RIGHT,0.8911,0.4620>. A yellow truck is stationary in front of the ego vehicle with coordinates <c3,CAM_FRONT,0.2911,0.4630>. A black SUV is moving at the back with coordinates <c4,CAM_BACK,0.7927,0.5056>. The road and surroundings appear distorted due to the colorquant effect, but the layout remains navigable.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915624362465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915624354917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915624369956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915624387570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915624397295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915624377813.jpg"
    }
  },
  {
    "scene_token": "08be42eb2186411d8e2201225329f1c6",
    "frame_token": "818a1bd7b7394194a85163c8d95958a9",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Saturate. C. Rain. D. Zoom blur",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290858162404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290858154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290858170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290858187559.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290858197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290858178113.jpg"
    }
  },
  {
    "scene_token": "08be42eb2186411d8e2201225329f1c6",
    "frame_token": "818a1bd7b7394194a85163c8d95958a9",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black small sedan to the back of the ego vehicle, a black SUV to the back left of the ego vehicle, and a black small car to the front left of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.7380,0.5926>, <c2,CAM_BACK_LEFT,0.1906,0.6426>, and <c3,CAM_FRONT_LEFT,0.7547,0.5703>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290858162404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290858154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290858170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290858187559.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290858197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290858178113.jpg"
    }
  },
  {
    "scene_token": "08be42eb2186411d8e2201225329f1c6",
    "frame_token": "818a1bd7b7394194a85163c8d95958a9",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.7380,0.5926> under colorquant corruption? Please select the correct answer from the following options: A. Turn right. B. Turn left. C. Going ahead.",
    "answer": "C, Explanation: The object is a black small sedan and it is moving ahead.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290858162404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290858154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290858170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290858187559.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290858197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290858178113.jpg"
    }
  },
  {
    "scene_token": "08be42eb2186411d8e2201225329f1c6",
    "frame_token": "818a1bd7b7394194a85163c8d95958a9",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.7380,0.5926> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a black small sedan, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290858162404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290858154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290858170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290858187559.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290858197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290858178113.jpg"
    }
  },
  {
    "scene_token": "08be42eb2186411d8e2201225329f1c6",
    "frame_token": "818a1bd7b7394194a85163c8d95958a9",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant corruption? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice that black small car at left camera. The object is stationary, so the ego vehicle should turn left. Secondly, notice that black small sedan at back camera. The object is going ahead, so the ego vehicle should turn left. Thirdly, notice that black SUV at left rear camera. The object is stationary, so the ego vehicle should turn left.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290858162404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290858154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290858170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290858187559.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290858197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290858178113.jpg"
    }
  },
  {
    "scene_token": "08be42eb2186411d8e2201225329f1c6",
    "frame_token": "818a1bd7b7394194a85163c8d95958a9",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Turn left, decelerate gradually without braking.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290858162404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290858154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290858170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290858187559.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290858197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290858178113.jpg"
    }
  },
  {
    "scene_token": "08be42eb2186411d8e2201225329f1c6",
    "frame_token": "818a1bd7b7394194a85163c8d95958a9",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK,0.7380,0.5926> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to turn left. The reason is that there is no safety issue, which is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290858162404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290858154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290858170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290858187559.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290858197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290858178113.jpg"
    }
  },
  {
    "scene_token": "08be42eb2186411d8e2201225329f1c6",
    "frame_token": "818a1bd7b7394194a85163c8d95958a9",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, which reduces the color depth and makes the scene appear darker and less detailed. To the back of the ego vehicle, there is a black small sedan moving forward, identified as <c1,CAM_BACK,0.7380,0.5926>. To the back left, a black SUV is stationary, identified as <c2,CAM_BACK_LEFT,0.1906,0.6426>. To the front left, a black small car is also stationary, identified as <c3,CAM_FRONT_LEFT,0.7547,0.5703>. The overall visibility is reduced, requiring careful navigation.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290858162404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290858154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290858170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290858187559.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290858197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290858178113.jpg"
    }
  },
  {
    "scene_token": "08be42eb2186411d8e2201225329f1c6",
    "frame_token": "cc0114d0a58a49548f5bac6786851a08",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Rain. B. Color quant. C. JPEG compression. D. Fog",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290861262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290861254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290861270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290861287773.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290861297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290861278113.jpg"
    }
  },
  {
    "scene_token": "08be42eb2186411d8e2201225329f1c6",
    "frame_token": "cc0114d0a58a49548f5bac6786851a08",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under color quantization corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black car to the back of the ego vehicle, a black sedan to the front of the ego vehicle, a silver white pickup truck to the front left of the ego vehicle, a black sedan car to the front left of the ego vehicle, a black SUV to the front right of the ego vehicle, and a black sedan to the front left of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.8026,0.6222>, <c2,CAM_FRONT,0.8359,0.6167>, <c3,CAM_FRONT_LEFT,0.6120,0.6083>, <c4,CAM_FRONT_LEFT,0.8489,0.5852>, <c5,CAM_FRONT_RIGHT,0.2016,0.7249>, and <c6,CAM_FRONT_LEFT,0.2318,0.7176>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290861262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290861254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290861270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290861287773.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290861297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290861278113.jpg"
    }
  },
  {
    "scene_token": "08be42eb2186411d8e2201225329f1c6",
    "frame_token": "cc0114d0a58a49548f5bac6786851a08",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.8026,0.6222> under color quantization corruption? Please select the correct answer from the following options: A. Turn left. B. Turn right. C. Going ahead.",
    "answer": "A, Explanation: The object is a black car moving in the scene.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290861262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290861254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290861270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290861287773.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290861297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290861278113.jpg"
    }
  },
  {
    "scene_token": "08be42eb2186411d8e2201225329f1c6",
    "frame_token": "cc0114d0a58a49548f5bac6786851a08",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.8026,0.6222> a traffic sign or a road barrier under color quantization corruption?",
    "answer": "No, Explanation: The object is a black car, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290861262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290861254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290861270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290861287773.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290861297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290861278113.jpg"
    }
  },
  {
    "scene_token": "08be42eb2186411d8e2201225329f1c6",
    "frame_token": "cc0114d0a58a49548f5bac6786851a08",
    "question_type": "robust_qas",
    "question": "In this scenario under color quantization corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, decelerate gradually without braking.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290861262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290861254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290861270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290861287773.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290861297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290861278113.jpg"
    }
  },
  {
    "scene_token": "08be42eb2186411d8e2201225329f1c6",
    "frame_token": "cc0114d0a58a49548f5bac6786851a08",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.8026,0.6222> under color quantization corruption?",
    "answer": "Back up.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290861262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290861254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290861270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290861287773.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290861297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290861278113.jpg"
    }
  },
  {
    "scene_token": "08be42eb2186411d8e2201225329f1c6",
    "frame_token": "cc0114d0a58a49548f5bac6786851a08",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by color quantization, making it challenging to distinguish details. The road is lined with several stationary vehicles, including a black sedan to the front and a silver white pickup truck to the front left. A black SUV is positioned to the front right. The environment appears dark, with reduced color fidelity, impacting the visibility of objects. The black car moving behind the ego vehicle is still discernible despite the corruption.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290861262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290861254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290861270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290861287773.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290861297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290861278113.jpg"
    }
  },
  {
    "scene_token": "d033fb0d79ea42b9a356fa5162172598",
    "frame_token": "36b3908ee5e64c4883a5a4b8980f5238",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Sensor failure. B. Zoom blur. C. Bit error. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297248762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297248754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297248770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297248787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297248797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297248778113.jpg"
    }
  },
  {
    "scene_token": "d033fb0d79ea42b9a356fa5162172598",
    "frame_token": "36b3908ee5e64c4883a5a4b8980f5238",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black SUV to the back of the ego vehicle, a white car to the front of the ego vehicle, a yellow bus to the back of the ego vehicle, and a black car to the front right of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.6261,0.6806>, <c2,CAM_FRONT,0.0427,0.6028>, <c3,CAM_BACK,0.0089,0.4870>, and <c4,CAM_FRONT_RIGHT,0.1594,0.5953>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297248762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297248754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297248770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297248787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297248797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297248778113.jpg"
    }
  },
  {
    "scene_token": "d033fb0d79ea42b9a356fa5162172598",
    "frame_token": "36b3908ee5e64c4883a5a4b8980f5238",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.6261,0.6806> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "A, Explanation: The object is a black SUV moving ahead, and the colorquant corruption does not affect its status.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297248762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297248754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297248770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297248787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297248797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297248778113.jpg"
    }
  },
  {
    "scene_token": "d033fb0d79ea42b9a356fa5162172598",
    "frame_token": "36b3908ee5e64c4883a5a4b8980f5238",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.6261,0.6806> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a black SUV, not a traffic sign or road barrier, and the colorquant corruption does not change its category.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297248762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297248754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297248770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297248787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297248797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297248778113.jpg"
    }
  },
  {
    "scene_token": "d033fb0d79ea42b9a356fa5162172598",
    "frame_token": "36b3908ee5e64c4883a5a4b8980f5238",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK,0.6261,0.6806> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to turn left because the object has little reference value for the ego vehicle, with a high probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297248762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297248754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297248770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297248787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297248797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297248778113.jpg"
    }
  },
  {
    "scene_token": "d033fb0d79ea42b9a356fa5162172598",
    "frame_token": "36b3908ee5e64c4883a5a4b8980f5238",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed and turn left.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297248762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297248754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297248770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297248787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297248797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297248778113.jpg"
    }
  },
  {
    "scene_token": "d033fb0d79ea42b9a356fa5162172598",
    "frame_token": "36b3908ee5e64c4883a5a4b8980f5238",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, which alters the color representation, making it challenging to distinguish objects clearly. Despite this, key objects are identifiable: a black SUV is moving at the back of the ego vehicle (coordinates: 0.6261, 0.6806), a white car is stationary at the front (coordinates: 0.0427, 0.6028), a yellow bus is stationary at the back (coordinates: 0.0089, 0.4870), and a black car is stationary at the front right (coordinates: 0.1594, 0.5953). The scene includes urban elements like buildings and trees, which are less distinct due to the corruption.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297248762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297248754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297248770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297248787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297248797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297248778113.jpg"
    }
  },
  {
    "scene_token": "bc4fd5a05a004333b9411754630f4cba",
    "frame_token": "f317f943545d4e3086bf375c93ff8dff",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Saturate. C. Fog. D. Rain",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915264912465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915264904917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915264919956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915264937570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915264947478.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915264927813.jpg"
    }
  },
  {
    "scene_token": "bc4fd5a05a004333b9411754630f4cba",
    "frame_token": "f317f943545d4e3086bf375c93ff8dff",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT_LEFT,0.5172,0.5481> under colorquant conditions? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "A, Explanation: The object is a brown Jeep moving ahead, and the colorquant condition does not affect its status.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915264912465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915264904917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915264919956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915264937570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915264947478.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915264927813.jpg"
    }
  },
  {
    "scene_token": "bc4fd5a05a004333b9411754630f4cba",
    "frame_token": "f317f943545d4e3086bf375c93ff8dff",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant conditions? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a brown Jeep to the front left of the ego vehicle, a white van to the front of the ego vehicle, and a black sedan to the front right of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_LEFT,0.5172,0.5481>, <c2,CAM_FRONT,0.5583,0.5074>, and <c3,CAM_FRONT_RIGHT,0.3747,0.7290>. The colorquant condition does not change their importance.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915264912465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915264904917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915264919956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915264937570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915264947478.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915264927813.jpg"
    }
  },
  {
    "scene_token": "bc4fd5a05a004333b9411754630f4cba",
    "frame_token": "f317f943545d4e3086bf375c93ff8dff",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant conditions? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice that black sedan at right camera. The object is stationary, so the ego vehicle should turn left. Secondly, notice that brown jeep at left camera. The object is moving forward, so the ego vehicle should turn left. Thirdly, notice that white van at front camera. The object is stationary, so the ego vehicle should turn left. The colorquant condition does not alter the sequence or actions.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915264912465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915264904917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915264919956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915264937570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915264947478.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915264927813.jpg"
    }
  },
  {
    "scene_token": "bc4fd5a05a004333b9411754630f4cba",
    "frame_token": "f317f943545d4e3086bf375c93ff8dff",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_LEFT,0.5172,0.5481> a traffic sign or a road barrier under colorquant conditions?",
    "answer": "No, Explanation: The object is a brown Jeep, not a traffic sign or road barrier, and the colorquant condition does not affect this classification.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915264912465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915264904917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915264919956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915264937570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915264947478.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915264927813.jpg"
    }
  },
  {
    "scene_token": "bc4fd5a05a004333b9411754630f4cba",
    "frame_token": "f317f943545d4e3086bf375c93ff8dff",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT_LEFT,0.5172,0.5481> under colorquant conditions?",
    "answer": "Moderate left turn. The colorquant condition does not change the risk of collision with the brown Jeep.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915264912465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915264904917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915264919956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915264937570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915264947478.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915264927813.jpg"
    }
  },
  {
    "scene_token": "bc4fd5a05a004333b9411754630f4cba",
    "frame_token": "f317f943545d4e3086bf375c93ff8dff",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT_LEFT,0.5172,0.5481> under colorquant conditions? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue. The probability is high. The colorquant condition does not affect this decision.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915264912465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915264904917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915264919956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915264937570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915264947478.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915264927813.jpg"
    }
  },
  {
    "scene_token": "bc4fd5a05a004333b9411754630f4cba",
    "frame_token": "f317f943545d4e3086bf375c93ff8dff",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant conditions. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant conditions, which alter the color representation of the scene. Despite this, key objects remain identifiable: a brown Jeep is moving to the front left of the ego vehicle at coordinates <c1,CAM_FRONT_LEFT,0.5172,0.5481>, a white van is stationary directly in front at <c2,CAM_FRONT,0.5583,0.5074>, and a black sedan is stationary to the front right at <c3,CAM_FRONT_RIGHT,0.3747,0.7290>. The surroundings include urban elements such as buildings and roads, but the colorquant condition may obscure some details.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915264912465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915264904917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915264919956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915264937570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915264947478.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915264927813.jpg"
    }
  },
  {
    "scene_token": "c6da5920d2bc459bb3bc51ee6b9fdd7e",
    "frame_token": "378b6469011f452daf80371beb17c5aa",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Bright. B. Color quant. C. Fog. D. Rain",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535729415412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535729415404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535729415420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535729415437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535729415447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535729415428113.jpg"
    }
  },
  {
    "scene_token": "c6da5920d2bc459bb3bc51ee6b9fdd7e",
    "frame_token": "378b6469011f452daf80371beb17c5aa",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under color quantization corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white truck to the front of the ego vehicle, a white bus to the back of the ego vehicle, a white pickup truck to the front of the ego vehicle, a golden car to the back right of the ego vehicle, a black sedan to the back left of the ego vehicle, and a no right turn to the front right of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.4089,0.5102>, <c2,CAM_BACK,0.5505,0.5453>, <c3,CAM_FRONT,0.6245,0.5496>, <c4,CAM_BACK_RIGHT,0.7442,0.6880>, <c5,CAM_BACK_LEFT,0.6891,0.6713>, and <c6,CAM_FRONT_RIGHT,0.0739,0.5237>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535729415412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535729415404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535729415420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535729415437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535729415447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535729415428113.jpg"
    }
  },
  {
    "scene_token": "c6da5920d2bc459bb3bc51ee6b9fdd7e",
    "frame_token": "378b6469011f452daf80371beb17c5aa",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.4089,0.5102> under color quantization corruption? Please select the correct answer from the following options: A. Turn right. B. Going ahead. C. Turn left.",
    "answer": "B, Explanation: The object is a white truck moving ahead, and the color quantization does not affect its trajectory.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535729415412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535729415404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535729415420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535729415437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535729415447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535729415428113.jpg"
    }
  },
  {
    "scene_token": "c6da5920d2bc459bb3bc51ee6b9fdd7e",
    "frame_token": "378b6469011f452daf80371beb17c5aa",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.4089,0.5102> a traffic sign or a road barrier under color quantization corruption?",
    "answer": "No, Explanation: The object is a white truck, not a traffic sign or road barrier, and the color quantization does not change its category.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535729415412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535729415404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535729415420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535729415437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535729415447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535729415428113.jpg"
    }
  },
  {
    "scene_token": "c6da5920d2bc459bb3bc51ee6b9fdd7e",
    "frame_token": "378b6469011f452daf80371beb17c5aa",
    "question_type": "robust_qas",
    "question": "In this scenario under color quantization corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Accelerate and proceed.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535729415412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535729415404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535729415420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535729415437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535729415447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535729415428113.jpg"
    }
  },
  {
    "scene_token": "c6da5920d2bc459bb3bc51ee6b9fdd7e",
    "frame_token": "378b6469011f452daf80371beb17c5aa",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.4089,0.5102> under color quantization corruption? Why take this action and what's the probability?",
    "answer": "The action is to decelerate gradually without braking. The reason for taking this action is to avoid a collision, which has a high probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535729415412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535729415404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535729415420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535729415437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535729415447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535729415428113.jpg"
    }
  },
  {
    "scene_token": "c6da5920d2bc459bb3bc51ee6b9fdd7e",
    "frame_token": "378b6469011f452daf80371beb17c5aa",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is an urban setting with noticeable color quantization effects, making the scene appear with reduced color depth. Key objects include a white truck moving ahead at coordinates <c1,CAM_FRONT,0.4089,0.5102>, a white bus moving behind the ego vehicle at <c2,CAM_BACK,0.5505,0.5453>, and a white pickup truck also moving ahead at <c3,CAM_FRONT,0.6245,0.5496>. Stationary vehicles include a golden car at <c4,CAM_BACK_RIGHT,0.7442,0.6880> and a black sedan at <c5,CAM_BACK_LEFT,0.6891,0.6713>. A 'no right turn' sign is visible at <c6,CAM_FRONT_RIGHT,0.0739,0.5237>. The color quantization may affect the visibility of these objects, but their positions remain clear.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535729415412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535729415404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535729415420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535729415437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535729415447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535729415428113.jpg"
    }
  },
  {
    "scene_token": "c6da5920d2bc459bb3bc51ee6b9fdd7e",
    "frame_token": "344756cb198944cea21f886bd859136b",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. H256 ABR compression. B. Color quant. C. JPEG compression. D. Saturate",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535729398362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535729398354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535729398370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535729398387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535729398397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535729398378117.jpg"
    }
  },
  {
    "scene_token": "c6da5920d2bc459bb3bc51ee6b9fdd7e",
    "frame_token": "344756cb198944cea21f886bd859136b",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT_RIGHT,0.6999,0.7006> under colorquant corruption? Please select the correct answer from the following options: A. Turn right. B. Going ahead. C. Turn left.",
    "answer": "A, Explanation: The object is a black SUV moving to the right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535729398362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535729398354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535729398370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535729398387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535729398397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535729398378117.jpg"
    }
  },
  {
    "scene_token": "c6da5920d2bc459bb3bc51ee6b9fdd7e",
    "frame_token": "344756cb198944cea21f886bd859136b",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black SUV to the front right of the ego vehicle, a black car to the front right of the ego vehicle, a white truck to the front of the ego vehicle, a white bus to the back of the ego vehicle, a black sedan to the front of the ego vehicle, and a green light to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_RIGHT,0.6999,0.7006>, <c2,CAM_FRONT_RIGHT,0.2199,0.6148>, <c3,CAM_FRONT,0.3266,0.5370>, <c4,CAM_BACK,0.4442,0.5436>, <c5,CAM_FRONT,0.1609,0.6491>, and <c6,CAM_FRONT,0.5766,0.3392>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535729398362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535729398354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535729398370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535729398387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535729398397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535729398378117.jpg"
    }
  },
  {
    "scene_token": "c6da5920d2bc459bb3bc51ee6b9fdd7e",
    "frame_token": "344756cb198944cea21f886bd859136b",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_RIGHT,0.6999,0.7006> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a black SUV, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535729398362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535729398354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535729398370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535729398387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535729398397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535729398378117.jpg"
    }
  },
  {
    "scene_token": "c6da5920d2bc459bb3bc51ee6b9fdd7e",
    "frame_token": "344756cb198944cea21f886bd859136b",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, slightly offset to the left, and slightly offset to the right.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535729398362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535729398354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535729398370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535729398387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535729398397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535729398378117.jpg"
    }
  },
  {
    "scene_token": "c6da5920d2bc459bb3bc51ee6b9fdd7e",
    "frame_token": "344756cb198944cea21f886bd859136b",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT_RIGHT,0.6999,0.7006> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed because there is no safety issue. The probability is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535729398362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535729398354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535729398370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535729398387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535729398397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535729398378117.jpg"
    }
  },
  {
    "scene_token": "c6da5920d2bc459bb3bc51ee6b9fdd7e",
    "frame_token": "344756cb198944cea21f886bd859136b",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which alters the color distribution and visibility. A black SUV is moving to the front right of the ego vehicle, positioned at coordinates <c1,CAM_FRONT_RIGHT,0.6999,0.7006>. A black car is also moving to the front right, located at <c2,CAM_FRONT_RIGHT,0.2199,0.6148>. Directly ahead, a white truck is moving, positioned at <c3,CAM_FRONT,0.3266,0.5370>. Behind the ego vehicle, a white bus is moving, located at <c4,CAM_BACK,0.4442,0.5436>. Additionally, a black sedan is moving ahead at <c5,CAM_FRONT,0.1609,0.6491>, and a green light is visible at <c6,CAM_FRONT,0.5766,0.3392>. The altered colors may affect the perception of these objects.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535729398362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535729398354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535729398370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535729398387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535729398397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535729398378117.jpg"
    }
  },
  {
    "scene_token": "af128e79b77a4a4b8bfcd997c320b2a9",
    "frame_token": "73376e2fc5d34c758cc155facd35fffa",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. JPEG compression. B. Sensor failure. C. Color quant. D. Bright",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-02-17-28-51+0800__CAM_FRONT__1533202205612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-02-17-28-51+0800__CAM_FRONT_LEFT__1533202205604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-02-17-28-51+0800__CAM_FRONT_RIGHT__1533202205620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-02-17-28-51+0800__CAM_BACK__1533202205637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-02-17-28-51+0800__CAM_BACK_LEFT__1533202205647426.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-02-17-28-51+0800__CAM_BACK_RIGHT__1533202205627893.jpg"
    }
  },
  {
    "scene_token": "af128e79b77a4a4b8bfcd997c320b2a9",
    "frame_token": "73376e2fc5d34c758cc155facd35fffa",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black car to the front of the ego vehicle, a silver sedan to the front left of the ego vehicle, and a blue car to the back left of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.4427,0.5389>, <c2,CAM_FRONT_LEFT,0.4088,0.7663>, and <c3,CAM_BACK_LEFT,0.2036,0.7519>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-02-17-28-51+0800__CAM_FRONT__1533202205612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-02-17-28-51+0800__CAM_FRONT_LEFT__1533202205604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-02-17-28-51+0800__CAM_FRONT_RIGHT__1533202205620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-02-17-28-51+0800__CAM_BACK__1533202205637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-02-17-28-51+0800__CAM_BACK_LEFT__1533202205647426.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-02-17-28-51+0800__CAM_BACK_RIGHT__1533202205627893.jpg"
    }
  },
  {
    "scene_token": "af128e79b77a4a4b8bfcd997c320b2a9",
    "frame_token": "73376e2fc5d34c758cc155facd35fffa",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.4427,0.5389> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "B, Explanation: The object is a black car moving ahead, and the colorquant corruption does not affect its movement status.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-02-17-28-51+0800__CAM_FRONT__1533202205612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-02-17-28-51+0800__CAM_FRONT_LEFT__1533202205604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-02-17-28-51+0800__CAM_FRONT_RIGHT__1533202205620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-02-17-28-51+0800__CAM_BACK__1533202205637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-02-17-28-51+0800__CAM_BACK_LEFT__1533202205647426.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-02-17-28-51+0800__CAM_BACK_RIGHT__1533202205627893.jpg"
    }
  },
  {
    "scene_token": "af128e79b77a4a4b8bfcd997c320b2a9",
    "frame_token": "73376e2fc5d34c758cc155facd35fffa",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant corruption? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice that black car at front camera. The object is going ahead, so the ego vehicle should continue going ahead at the same speed. Secondly, notice that silver sedan at left camera. The object is stationary, so the ego vehicle should continue going ahead at the same speed. Thirdly, notice that blue car at left rear camera. The object is stationary, so the ego vehicle should continue going ahead at the same speed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-02-17-28-51+0800__CAM_FRONT__1533202205612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-02-17-28-51+0800__CAM_FRONT_LEFT__1533202205604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-02-17-28-51+0800__CAM_FRONT_RIGHT__1533202205620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-02-17-28-51+0800__CAM_BACK__1533202205637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-02-17-28-51+0800__CAM_BACK_LEFT__1533202205647426.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-02-17-28-51+0800__CAM_BACK_RIGHT__1533202205627893.jpg"
    }
  },
  {
    "scene_token": "af128e79b77a4a4b8bfcd997c320b2a9",
    "frame_token": "73376e2fc5d34c758cc155facd35fffa",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.4427,0.5389> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a black car, not a traffic sign or road barrier, and the colorquant corruption does not change its identity.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-02-17-28-51+0800__CAM_FRONT__1533202205612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-02-17-28-51+0800__CAM_FRONT_LEFT__1533202205604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-02-17-28-51+0800__CAM_FRONT_RIGHT__1533202205620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-02-17-28-51+0800__CAM_BACK__1533202205637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-02-17-28-51+0800__CAM_BACK_LEFT__1533202205647426.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-02-17-28-51+0800__CAM_BACK_RIGHT__1533202205627893.jpg"
    }
  },
  {
    "scene_token": "af128e79b77a4a4b8bfcd997c320b2a9",
    "frame_token": "73376e2fc5d34c758cc155facd35fffa",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.4427,0.5389> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue. The probability is low.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-02-17-28-51+0800__CAM_FRONT__1533202205612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-02-17-28-51+0800__CAM_FRONT_LEFT__1533202205604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-02-17-28-51+0800__CAM_FRONT_RIGHT__1533202205620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-02-17-28-51+0800__CAM_BACK__1533202205637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-02-17-28-51+0800__CAM_BACK_LEFT__1533202205647426.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-02-17-28-51+0800__CAM_BACK_RIGHT__1533202205627893.jpg"
    }
  },
  {
    "scene_token": "af128e79b77a4a4b8bfcd997c320b2a9",
    "frame_token": "73376e2fc5d34c758cc155facd35fffa",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.4427,0.5389> under colorquant corruption?",
    "answer": "Accelerating and going straight.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-02-17-28-51+0800__CAM_FRONT__1533202205612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-02-17-28-51+0800__CAM_FRONT_LEFT__1533202205604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-02-17-28-51+0800__CAM_FRONT_RIGHT__1533202205620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-02-17-28-51+0800__CAM_BACK__1533202205637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-02-17-28-51+0800__CAM_BACK_LEFT__1533202205647426.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-02-17-28-51+0800__CAM_BACK_RIGHT__1533202205627893.jpg"
    }
  },
  {
    "scene_token": "af128e79b77a4a4b8bfcd997c320b2a9",
    "frame_token": "73376e2fc5d34c758cc155facd35fffa",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which alters the color palette, making it challenging to distinguish between objects based on color. Despite this, key objects are identifiable: a black car is moving ahead at coordinates <c1,CAM_FRONT,0.4427,0.5389>, a silver sedan is stationary to the front left at <c2,CAM_FRONT_LEFT,0.4088,0.7663>, and a blue car is stationary to the back left at <c3,CAM_BACK_LEFT,0.2036,0.7519>. The road is clear, and the environment appears urban with buildings and streetlights visible, though their colors are distorted.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-02-17-28-51+0800__CAM_FRONT__1533202205612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-02-17-28-51+0800__CAM_FRONT_LEFT__1533202205604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-02-17-28-51+0800__CAM_FRONT_RIGHT__1533202205620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-02-17-28-51+0800__CAM_BACK__1533202205637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-02-17-28-51+0800__CAM_BACK_LEFT__1533202205647426.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-02-17-28-51+0800__CAM_BACK_RIGHT__1533202205627893.jpg"
    }
  },
  {
    "scene_token": "78c5f7d7b547483c906d8524a8c3190f",
    "frame_token": "4c4e1e94e1364ef5a3c390d97be19ee1",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Sensor failure. C. Zoom blur. D. Dark",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-01-15-52-19-0400__CAM_FRONT__1533153707412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_LEFT__1533153707404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_RIGHT__1533153707420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-01-15-52-19-0400__CAM_BACK__1533153707437573.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-01-15-52-19-0400__CAM_BACK_LEFT__1533153707447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_BACK_RIGHT__1533153707428136.jpg"
    }
  },
  {
    "scene_token": "78c5f7d7b547483c906d8524a8c3190f",
    "frame_token": "4c4e1e94e1364ef5a3c390d97be19ee1",
    "question_type": "robust_qas",
    "question": "Considering the colorquant corruption, what are the important objects in the current scene? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a red car to the front right of the ego vehicle, a black sedan to the back left of the ego vehicle, a black sedan to the back of the ego vehicle, and a pedestrian crossing line to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_RIGHT,0.3661,0.6759>, <c2,CAM_BACK_LEFT,0.3286,0.5861>, <c3,CAM_BACK,0.4536,0.5361>, and <c4,CAM_FRONT,0.3468,0.8866>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-01-15-52-19-0400__CAM_FRONT__1533153707412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_LEFT__1533153707404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_RIGHT__1533153707420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-01-15-52-19-0400__CAM_BACK__1533153707437573.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-01-15-52-19-0400__CAM_BACK_LEFT__1533153707447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_BACK_RIGHT__1533153707428136.jpg"
    }
  },
  {
    "scene_token": "78c5f7d7b547483c906d8524a8c3190f",
    "frame_token": "4c4e1e94e1364ef5a3c390d97be19ee1",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_BACK_LEFT,0.3286,0.5861> under colorquant corruption? Please select the correct answer from the following options: A. Turn right. B. Going ahead. C. Turn left.",
    "answer": "B, Explanation: The object is a black sedan moving ahead.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-01-15-52-19-0400__CAM_FRONT__1533153707412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_LEFT__1533153707404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_RIGHT__1533153707420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-01-15-52-19-0400__CAM_BACK__1533153707437573.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-01-15-52-19-0400__CAM_BACK_LEFT__1533153707447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_BACK_RIGHT__1533153707428136.jpg"
    }
  },
  {
    "scene_token": "78c5f7d7b547483c906d8524a8c3190f",
    "frame_token": "4c4e1e94e1364ef5a3c390d97be19ee1",
    "question_type": "robust_qas",
    "question": "Under colorquant corruption, is <c1,CAM_FRONT_RIGHT,0.3661,0.6759> a traffic sign or a road barrier?",
    "answer": "No, Explanation: The object is a stationary red car.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-01-15-52-19-0400__CAM_FRONT__1533153707412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_LEFT__1533153707404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_RIGHT__1533153707420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-01-15-52-19-0400__CAM_BACK__1533153707437573.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-01-15-52-19-0400__CAM_BACK_LEFT__1533153707447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_BACK_RIGHT__1533153707428136.jpg"
    }
  },
  {
    "scene_token": "78c5f7d7b547483c906d8524a8c3190f",
    "frame_token": "4c4e1e94e1364ef5a3c390d97be19ee1",
    "question_type": "robust_qas",
    "question": "Considering the colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, decelerate gradually without braking.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-01-15-52-19-0400__CAM_FRONT__1533153707412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_LEFT__1533153707404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_RIGHT__1533153707420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-01-15-52-19-0400__CAM_BACK__1533153707437573.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-01-15-52-19-0400__CAM_BACK_LEFT__1533153707447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_BACK_RIGHT__1533153707428136.jpg"
    }
  },
  {
    "scene_token": "78c5f7d7b547483c906d8524a8c3190f",
    "frame_token": "4c4e1e94e1364ef5a3c390d97be19ee1",
    "question_type": "robust_qas",
    "question": "Under colorquant corruption, what actions could the ego vehicle take based on <c1,CAM_FRONT_RIGHT,0.3661,0.6759>? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed because there is no safety issue. The probability of this action is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-01-15-52-19-0400__CAM_FRONT__1533153707412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_LEFT__1533153707404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_RIGHT__1533153707420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-01-15-52-19-0400__CAM_BACK__1533153707437573.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-01-15-52-19-0400__CAM_BACK_LEFT__1533153707447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_BACK_RIGHT__1533153707428136.jpg"
    }
  },
  {
    "scene_token": "78c5f7d7b547483c906d8524a8c3190f",
    "frame_token": "4c4e1e94e1364ef5a3c390d97be19ee1",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, making the colors appear less distinct and more uniform. To the front right of the ego vehicle, there is a stationary red car at coordinates (0.3661, 0.6759). Behind the ego vehicle to the left, a black sedan is moving at coordinates (0.3286, 0.5861), and directly behind, another black sedan is moving at coordinates (0.4536, 0.5361). In front of the ego vehicle, there is a pedestrian crossing line at coordinates (0.3468, 0.8866). The overall visibility is reduced, but key objects are still identifiable.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-01-15-52-19-0400__CAM_FRONT__1533153707412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_LEFT__1533153707404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_RIGHT__1533153707420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-01-15-52-19-0400__CAM_BACK__1533153707437573.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-01-15-52-19-0400__CAM_BACK_LEFT__1533153707447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_BACK_RIGHT__1533153707428136.jpg"
    }
  },
  {
    "scene_token": "cf652a711c8e40209132036a95162fed",
    "frame_token": "751b62e2666e4144a1660fb962b2bd67",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Motion blur. B. Snow. C. Color quant. D. Sensor failure",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-16-03-24+0800__CAM_FRONT__1538986128412462.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_LEFT__1538986128404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_RIGHT__1538986128420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-16-03-24+0800__CAM_BACK__1538986128437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-16-03-24+0800__CAM_BACK_LEFT__1538986128447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_BACK_RIGHT__1538986128427893.jpg"
    }
  },
  {
    "scene_token": "cf652a711c8e40209132036a95162fed",
    "frame_token": "751b62e2666e4144a1660fb962b2bd67",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a yellow sedan to the back of the ego vehicle, a person riding a motorcycle to the back right of the ego vehicle, a yellow bus to the front right of the ego vehicle, and a yellow roadblock to the front of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.6323,0.6314>, <c2,CAM_BACK_RIGHT,0.5146,0.7500>, <c3,CAM_FRONT_RIGHT,0.7364,0.4342>, and <c4,CAM_FRONT,0.9389,0.3974>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-16-03-24+0800__CAM_FRONT__1538986128412462.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_LEFT__1538986128404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_RIGHT__1538986128420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-16-03-24+0800__CAM_BACK__1538986128437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-16-03-24+0800__CAM_BACK_LEFT__1538986128447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_BACK_RIGHT__1538986128427893.jpg"
    }
  },
  {
    "scene_token": "cf652a711c8e40209132036a95162fed",
    "frame_token": "751b62e2666e4144a1660fb962b2bd67",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.6323,0.6314> under colorquant corruption? Please select the correct answer from the following options: A. Turn right. B. Going ahead. C. Turn left.",
    "answer": "B, Explanation: The object is a yellow sedan moving straight ahead, and the corruption does not affect its trajectory.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-16-03-24+0800__CAM_FRONT__1538986128412462.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_LEFT__1538986128404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_RIGHT__1538986128420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-16-03-24+0800__CAM_BACK__1538986128437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-16-03-24+0800__CAM_BACK_LEFT__1538986128447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_BACK_RIGHT__1538986128427893.jpg"
    }
  },
  {
    "scene_token": "cf652a711c8e40209132036a95162fed",
    "frame_token": "751b62e2666e4144a1660fb962b2bd67",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.6323,0.6314> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a yellow sedan, not a traffic sign or road barrier, and the corruption does not change its identity.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-16-03-24+0800__CAM_FRONT__1538986128412462.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_LEFT__1538986128404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_RIGHT__1538986128420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-16-03-24+0800__CAM_BACK__1538986128437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-16-03-24+0800__CAM_BACK_LEFT__1538986128447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_BACK_RIGHT__1538986128427893.jpg"
    }
  },
  {
    "scene_token": "cf652a711c8e40209132036a95162fed",
    "frame_token": "751b62e2666e4144a1660fb962b2bd67",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.6323,0.6314> under colorquant corruption?",
    "answer": "Brake suddenly.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-16-03-24+0800__CAM_FRONT__1538986128412462.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_LEFT__1538986128404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_RIGHT__1538986128420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-16-03-24+0800__CAM_BACK__1538986128437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-16-03-24+0800__CAM_BACK_LEFT__1538986128447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_BACK_RIGHT__1538986128427893.jpg"
    }
  },
  {
    "scene_token": "cf652a711c8e40209132036a95162fed",
    "frame_token": "751b62e2666e4144a1660fb962b2bd67",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK,0.6323,0.6314> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue, and the probability is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-16-03-24+0800__CAM_FRONT__1538986128412462.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_LEFT__1538986128404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_RIGHT__1538986128420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-16-03-24+0800__CAM_BACK__1538986128437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-16-03-24+0800__CAM_BACK_LEFT__1538986128447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_BACK_RIGHT__1538986128427893.jpg"
    }
  },
  {
    "scene_token": "cf652a711c8e40209132036a95162fed",
    "frame_token": "751b62e2666e4144a1660fb962b2bd67",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, which alters the color palette, making it challenging to distinguish between objects. The scene includes a yellow sedan moving behind the ego vehicle, a motorcycle to the back right, a yellow bus to the front right, and a yellow roadblock directly ahead. The surroundings include a multi-story parking structure and a road with visible lane markings, though the color distortion may affect visibility.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-16-03-24+0800__CAM_FRONT__1538986128412462.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_LEFT__1538986128404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_RIGHT__1538986128420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-16-03-24+0800__CAM_BACK__1538986128437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-16-03-24+0800__CAM_BACK_LEFT__1538986128447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_BACK_RIGHT__1538986128427893.jpg"
    }
  },
  {
    "scene_token": "cf652a711c8e40209132036a95162fed",
    "frame_token": "ed0dcc79c3eb4a1e83b9ecece71cb499",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Snow. B. Color quant. C. Motion blur. D. Bright",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-16-03-24+0800__CAM_FRONT__1538986133862460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_LEFT__1538986133854844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_RIGHT__1538986133870339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-16-03-24+0800__CAM_BACK__1538986133887525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-16-03-24+0800__CAM_BACK_LEFT__1538986133897423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_BACK_RIGHT__1538986133877893.jpg"
    }
  },
  {
    "scene_token": "cf652a711c8e40209132036a95162fed",
    "frame_token": "ed0dcc79c3eb4a1e83b9ecece71cb499",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black sedan to the back of the ego vehicle, a black sedan to the front of the ego vehicle, and a pedestrian wearing black shorts to the front of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.5104,0.6028>, <c2,CAM_FRONT,0.6188,0.5519>, and <c3,CAM_FRONT,0.3104,0.5842>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-16-03-24+0800__CAM_FRONT__1538986133862460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_LEFT__1538986133854844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_RIGHT__1538986133870339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-16-03-24+0800__CAM_BACK__1538986133887525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-16-03-24+0800__CAM_BACK_LEFT__1538986133897423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_BACK_RIGHT__1538986133877893.jpg"
    }
  },
  {
    "scene_token": "cf652a711c8e40209132036a95162fed",
    "frame_token": "ed0dcc79c3eb4a1e83b9ecece71cb499",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.5104,0.6028> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Turn right. C. Going ahead.",
    "answer": "C, Explanation: The object is a black sedan moving ahead despite the colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-16-03-24+0800__CAM_FRONT__1538986133862460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_LEFT__1538986133854844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_RIGHT__1538986133870339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-16-03-24+0800__CAM_BACK__1538986133887525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-16-03-24+0800__CAM_BACK_LEFT__1538986133897423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_BACK_RIGHT__1538986133877893.jpg"
    }
  },
  {
    "scene_token": "cf652a711c8e40209132036a95162fed",
    "frame_token": "ed0dcc79c3eb4a1e83b9ecece71cb499",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant corruption? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice that pedestrian wearing black shorts at front camera. The object is going ahead, so the ego vehicle should continue going ahead at the same speed. Secondly, notice that black sedan at front camera. The object is stationary, so the ego vehicle should keep going ahead at the same speed. Thirdly, notice that black sedan at back camera. The object is going ahead, so the ego vehicle should continue going ahead at the same speed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-16-03-24+0800__CAM_FRONT__1538986133862460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_LEFT__1538986133854844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_RIGHT__1538986133870339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-16-03-24+0800__CAM_BACK__1538986133887525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-16-03-24+0800__CAM_BACK_LEFT__1538986133897423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_BACK_RIGHT__1538986133877893.jpg"
    }
  },
  {
    "scene_token": "cf652a711c8e40209132036a95162fed",
    "frame_token": "ed0dcc79c3eb4a1e83b9ecece71cb499",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.5104,0.6028> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a black sedan, not a traffic sign or road barrier, even under colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-16-03-24+0800__CAM_FRONT__1538986133862460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_LEFT__1538986133854844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_RIGHT__1538986133870339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-16-03-24+0800__CAM_BACK__1538986133887525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-16-03-24+0800__CAM_BACK_LEFT__1538986133897423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_BACK_RIGHT__1538986133877893.jpg"
    }
  },
  {
    "scene_token": "cf652a711c8e40209132036a95162fed",
    "frame_token": "ed0dcc79c3eb4a1e83b9ecece71cb499",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.5104,0.6028> under colorquant corruption?",
    "answer": "Brake suddenly.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-16-03-24+0800__CAM_FRONT__1538986133862460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_LEFT__1538986133854844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_RIGHT__1538986133870339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-16-03-24+0800__CAM_BACK__1538986133887525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-16-03-24+0800__CAM_BACK_LEFT__1538986133897423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_BACK_RIGHT__1538986133877893.jpg"
    }
  },
  {
    "scene_token": "cf652a711c8e40209132036a95162fed",
    "frame_token": "ed0dcc79c3eb4a1e83b9ecece71cb499",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK,0.5104,0.6028> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is to avoid a collision, which is high in probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-16-03-24+0800__CAM_FRONT__1538986133862460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_LEFT__1538986133854844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_RIGHT__1538986133870339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-16-03-24+0800__CAM_BACK__1538986133887525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-16-03-24+0800__CAM_BACK_LEFT__1538986133897423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_BACK_RIGHT__1538986133877893.jpg"
    }
  },
  {
    "scene_token": "cf652a711c8e40209132036a95162fed",
    "frame_token": "ed0dcc79c3eb4a1e83b9ecece71cb499",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, causing a reduction in color detail and contrast. Despite this, key objects are identifiable: a black sedan is positioned behind the ego vehicle at coordinates <c1,CAM_BACK,0.5104,0.6028>, another black sedan is stationary in front of the ego vehicle at <c2,CAM_FRONT,0.6188,0.5519>, and a pedestrian wearing black shorts is moving ahead at <c3,CAM_FRONT,0.3104,0.5842>. The road is partially visible with some distortion in the visual details.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-16-03-24+0800__CAM_FRONT__1538986133862460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_LEFT__1538986133854844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_RIGHT__1538986133870339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-16-03-24+0800__CAM_BACK__1538986133887525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-16-03-24+0800__CAM_BACK_LEFT__1538986133897423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_BACK_RIGHT__1538986133877893.jpg"
    }
  },
  {
    "scene_token": "126aa95f38b649fa857d48672c8ad808",
    "frame_token": "71374b6b989e4000bfe6f5d70052c378",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Rain. B. Sensor failure. C. Color quant. D. Bit error",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193424912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193424904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193424920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193424937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193424947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193424927893.jpg"
    }
  },
  {
    "scene_token": "126aa95f38b649fa857d48672c8ad808",
    "frame_token": "71374b6b989e4000bfe6f5d70052c378",
    "question_type": "robust_qas",
    "question": "Considering the colorquant corruption, what are the important objects in the current scene? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a pedestrian to the front left of the ego vehicle, a silver sedan to the front of the ego vehicle, a sedan to the back of the ego vehicle, and a pedestrian to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_LEFT,0.3614,0.6241>, <c2,CAM_FRONT,0.5558,0.5778>, <c3,CAM_BACK,0.5672,0.5824>, and <c4,CAM_FRONT,0.0703,0.5620>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193424912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193424904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193424920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193424937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193424947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193424927893.jpg"
    }
  },
  {
    "scene_token": "126aa95f38b649fa857d48672c8ad808",
    "frame_token": "71374b6b989e4000bfe6f5d70052c378",
    "question_type": "robust_qas",
    "question": "Under the colorquant corruption, what is the moving status of object <c1,CAM_FRONT_LEFT,0.3614,0.6241>? Please select the correct answer from the following options: A. Turn right. B. Going ahead. C. Turn left.",
    "answer": "B, Explanation: The object is a pedestrian moving ahead.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193424912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193424904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193424920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193424937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193424947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193424927893.jpg"
    }
  },
  {
    "scene_token": "126aa95f38b649fa857d48672c8ad808",
    "frame_token": "71374b6b989e4000bfe6f5d70052c378",
    "question_type": "robust_qas",
    "question": "With the colorquant corruption, is <c1,CAM_FRONT_LEFT,0.3614,0.6241> a traffic sign or a road barrier?",
    "answer": "No, Explanation: The object is a pedestrian, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193424912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193424904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193424920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193424937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193424947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193424927893.jpg"
    }
  },
  {
    "scene_token": "126aa95f38b649fa857d48672c8ad808",
    "frame_token": "71374b6b989e4000bfe6f5d70052c378",
    "question_type": "robust_qas",
    "question": "Considering the colorquant corruption, what actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT_LEFT,0.3614,0.6241>?",
    "answer": "Slight left turn.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193424912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193424904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193424920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193424937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193424947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193424927893.jpg"
    }
  },
  {
    "scene_token": "126aa95f38b649fa857d48672c8ad808",
    "frame_token": "71374b6b989e4000bfe6f5d70052c378",
    "question_type": "robust_qas",
    "question": "In this scenario with colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, decelerate gradually without braking.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193424912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193424904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193424920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193424937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193424947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193424927893.jpg"
    }
  },
  {
    "scene_token": "126aa95f38b649fa857d48672c8ad808",
    "frame_token": "71374b6b989e4000bfe6f5d70052c378",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is heavily affected by colorquant corruption, making it challenging to distinguish details. A pedestrian is moving to the front left of the ego vehicle at coordinates <c1,CAM_FRONT_LEFT,0.3614,0.6241>. A silver sedan is directly in front of the ego vehicle at <c2,CAM_FRONT,0.5558,0.5778>. Behind the ego vehicle, a sedan is moving at <c3,CAM_BACK,0.5672,0.5824>. Another pedestrian is ahead at <c4,CAM_FRONT,0.0703,0.5620>. The overall visibility is reduced, requiring careful navigation.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193424912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193424904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193424920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193424937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193424947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193424927893.jpg"
    }
  },
  {
    "scene_token": "1c76efe7d0b048bc815c0445eeaa76ab",
    "frame_token": "5292f0009e4644acb946f0a9eaae4e37",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. JPEG compression. B. Fog. C. Bright. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-57-39-0400__CAM_FRONT__1535490007262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-57-39-0400__CAM_FRONT_LEFT__1535490007254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-57-39-0400__CAM_FRONT_RIGHT__1535490007270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-57-39-0400__CAM_BACK__1535490007287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-57-39-0400__CAM_BACK_LEFT__1535490007297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-57-39-0400__CAM_BACK_RIGHT__1535490007278113.jpg"
    }
  },
  {
    "scene_token": "1c76efe7d0b048bc815c0445eeaa76ab",
    "frame_token": "5292f0009e4644acb946f0a9eaae4e37",
    "question_type": "robust_qas",
    "question": "Considering the colorquant corruption, what are the important objects in the current scene? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a silver white pickup truck to the back of the ego vehicle, a black commercial vehicle to the back of the ego vehicle, a black SUV to the front of the ego vehicle, a pedestrian wearing an orange shirt to the front right of the ego vehicle, and a red light to the front right of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.8781,0.6120>, <c2,CAM_BACK,0.4688,0.6389>, <c3,CAM_FRONT,0.3958,0.5722>, <c4,CAM_FRONT_RIGHT,0.3255,0.5917>, and <c5,CAM_FRONT_RIGHT,0.0428,0.3679>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-57-39-0400__CAM_FRONT__1535490007262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-57-39-0400__CAM_FRONT_LEFT__1535490007254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-57-39-0400__CAM_FRONT_RIGHT__1535490007270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-57-39-0400__CAM_BACK__1535490007287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-57-39-0400__CAM_BACK_LEFT__1535490007297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-57-39-0400__CAM_BACK_RIGHT__1535490007278113.jpg"
    }
  },
  {
    "scene_token": "1c76efe7d0b048bc815c0445eeaa76ab",
    "frame_token": "5292f0009e4644acb946f0a9eaae4e37",
    "question_type": "robust_qas",
    "question": "With the colorquant corruption affecting visibility, what is the moving status of object <c1,CAM_BACK,0.8781,0.6120>? Please select the correct answer from the following options: A. Turn right. B. Going ahead. C. Turn left.",
    "answer": "B, Explanation: The object is a silver white pickup truck moving ahead.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-57-39-0400__CAM_FRONT__1535490007262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-57-39-0400__CAM_FRONT_LEFT__1535490007254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-57-39-0400__CAM_FRONT_RIGHT__1535490007270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-57-39-0400__CAM_BACK__1535490007287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-57-39-0400__CAM_BACK_LEFT__1535490007297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-57-39-0400__CAM_BACK_RIGHT__1535490007278113.jpg"
    }
  },
  {
    "scene_token": "1c76efe7d0b048bc815c0445eeaa76ab",
    "frame_token": "5292f0009e4644acb946f0a9eaae4e37",
    "question_type": "robust_qas",
    "question": "Under the colorquant corruption, is <c1,CAM_BACK,0.8781,0.6120> a traffic sign or a road barrier?",
    "answer": "No, Explanation: The object is a silver white pickup truck, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-57-39-0400__CAM_FRONT__1535490007262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-57-39-0400__CAM_FRONT_LEFT__1535490007254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-57-39-0400__CAM_FRONT_RIGHT__1535490007270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-57-39-0400__CAM_BACK__1535490007287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-57-39-0400__CAM_BACK_LEFT__1535490007297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-57-39-0400__CAM_BACK_RIGHT__1535490007278113.jpg"
    }
  },
  {
    "scene_token": "1c76efe7d0b048bc815c0445eeaa76ab",
    "frame_token": "5292f0009e4644acb946f0a9eaae4e37",
    "question_type": "robust_qas",
    "question": "Considering the colorquant corruption, what actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.8781,0.6120>?",
    "answer": "Back up.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-57-39-0400__CAM_FRONT__1535490007262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-57-39-0400__CAM_FRONT_LEFT__1535490007254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-57-39-0400__CAM_FRONT_RIGHT__1535490007270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-57-39-0400__CAM_BACK__1535490007287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-57-39-0400__CAM_BACK_LEFT__1535490007297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-57-39-0400__CAM_BACK_RIGHT__1535490007278113.jpg"
    }
  },
  {
    "scene_token": "1c76efe7d0b048bc815c0445eeaa76ab",
    "frame_token": "5292f0009e4644acb946f0a9eaae4e37",
    "question_type": "robust_qas",
    "question": "In this colorquant-corrupted scenario, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, slightly offset to the left.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-57-39-0400__CAM_FRONT__1535490007262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-57-39-0400__CAM_FRONT_LEFT__1535490007254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-57-39-0400__CAM_FRONT_RIGHT__1535490007270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-57-39-0400__CAM_BACK__1535490007287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-57-39-0400__CAM_BACK_LEFT__1535490007297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-57-39-0400__CAM_BACK_RIGHT__1535490007278113.jpg"
    }
  },
  {
    "scene_token": "1c76efe7d0b048bc815c0445eeaa76ab",
    "frame_token": "5292f0009e4644acb946f0a9eaae4e37",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, causing a reduction in color detail and contrast. Key objects include a silver white pickup truck moving behind the ego vehicle at coordinates <c1,CAM_BACK,0.8781,0.6120>, and a black commercial vehicle also moving behind at <c2,CAM_BACK,0.4688,0.6389>. In front of the ego vehicle, a black SUV is stationary at <c3,CAM_FRONT,0.3958,0.5722>. A pedestrian wearing an orange shirt is moving to the front right at <c4,CAM_FRONT_RIGHT,0.3255,0.5917>, and a red light is visible at <c5,CAM_FRONT_RIGHT,0.0428,0.3679>. The overall visibility is reduced, making it challenging to discern finer details.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-57-39-0400__CAM_FRONT__1535490007262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-57-39-0400__CAM_FRONT_LEFT__1535490007254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-57-39-0400__CAM_FRONT_RIGHT__1535490007270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-57-39-0400__CAM_BACK__1535490007287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-57-39-0400__CAM_BACK_LEFT__1535490007297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-57-39-0400__CAM_BACK_RIGHT__1535490007278113.jpg"
    }
  },
  {
    "scene_token": "1c76efe7d0b048bc815c0445eeaa76ab",
    "frame_token": "8ae837b713ca4c17b150a15e6fcdaa49",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Zoom blur. B. Color quant. C. Bit error. D. Saturate",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-57-39-0400__CAM_FRONT__1535490017762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-57-39-0400__CAM_FRONT_LEFT__1535490017754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-57-39-0400__CAM_FRONT_RIGHT__1535490017770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-57-39-0400__CAM_BACK__1535490017787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-57-39-0400__CAM_BACK_LEFT__1535490017797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-57-39-0400__CAM_BACK_RIGHT__1535490017778113.jpg"
    }
  },
  {
    "scene_token": "1c76efe7d0b048bc815c0445eeaa76ab",
    "frame_token": "8ae837b713ca4c17b150a15e6fcdaa49",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_BACK,0.4750,0.5917> under color quantization distortion? Please select the correct answer from the following options: A. Turn left. B. Turn right. C. Going ahead.",
    "answer": "C, Explanation: The object is a white SUV, and despite the color quantization distortion, it is moving ahead.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-57-39-0400__CAM_FRONT__1535490017762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-57-39-0400__CAM_FRONT_LEFT__1535490017754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-57-39-0400__CAM_FRONT_RIGHT__1535490017770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-57-39-0400__CAM_BACK__1535490017787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-57-39-0400__CAM_BACK_LEFT__1535490017797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-57-39-0400__CAM_BACK_RIGHT__1535490017778113.jpg"
    }
  },
  {
    "scene_token": "1c76efe7d0b048bc815c0445eeaa76ab",
    "frame_token": "8ae837b713ca4c17b150a15e6fcdaa49",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under color quantization distortion? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black SUV to the front of the ego vehicle, a white SUV to the back of the ego vehicle, a pedestrian to the front of the ego vehicle, a silver sedan to the back right of the ego vehicle, and a silver SUV to the front right of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.4854,0.5722>, <c2,CAM_BACK,0.4750,0.5917>, <c3,CAM_FRONT,0.5214,0.6203>, <c4,CAM_BACK_RIGHT,0.3036,0.7703>, and <c5,CAM_FRONT_RIGHT,0.1563,0.6963>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-57-39-0400__CAM_FRONT__1535490017762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-57-39-0400__CAM_FRONT_LEFT__1535490017754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-57-39-0400__CAM_FRONT_RIGHT__1535490017770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-57-39-0400__CAM_BACK__1535490017787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-57-39-0400__CAM_BACK_LEFT__1535490017797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-57-39-0400__CAM_BACK_RIGHT__1535490017778113.jpg"
    }
  },
  {
    "scene_token": "1c76efe7d0b048bc815c0445eeaa76ab",
    "frame_token": "8ae837b713ca4c17b150a15e6fcdaa49",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.4854,0.5722> a traffic sign or a road barrier under color quantization distortion?",
    "answer": "No, Explanation: The object is a black SUV, not a traffic sign or road barrier, even under color quantization distortion.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-57-39-0400__CAM_FRONT__1535490017762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-57-39-0400__CAM_FRONT_LEFT__1535490017754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-57-39-0400__CAM_FRONT_RIGHT__1535490017770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-57-39-0400__CAM_BACK__1535490017787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-57-39-0400__CAM_BACK_LEFT__1535490017797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-57-39-0400__CAM_BACK_RIGHT__1535490017778113.jpg"
    }
  },
  {
    "scene_token": "1c76efe7d0b048bc815c0445eeaa76ab",
    "frame_token": "8ae837b713ca4c17b150a15e6fcdaa49",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.4854,0.5722> under color quantization distortion? Why take this action and what's the probability?",
    "answer": "The action is to slightly offset to the left in maneuvering. The reason is to avoid a collision, which has a high probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-57-39-0400__CAM_FRONT__1535490017762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-57-39-0400__CAM_FRONT_LEFT__1535490017754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-57-39-0400__CAM_FRONT_RIGHT__1535490017770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-57-39-0400__CAM_BACK__1535490017787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-57-39-0400__CAM_BACK_LEFT__1535490017797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-57-39-0400__CAM_BACK_RIGHT__1535490017778113.jpg"
    }
  },
  {
    "scene_token": "1c76efe7d0b048bc815c0445eeaa76ab",
    "frame_token": "8ae837b713ca4c17b150a15e6fcdaa49",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.4854,0.5722> under color quantization distortion?",
    "answer": "Accelerate and go straight.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-57-39-0400__CAM_FRONT__1535490017762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-57-39-0400__CAM_FRONT_LEFT__1535490017754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-57-39-0400__CAM_FRONT_RIGHT__1535490017770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-57-39-0400__CAM_BACK__1535490017787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-57-39-0400__CAM_BACK_LEFT__1535490017797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-57-39-0400__CAM_BACK_RIGHT__1535490017778113.jpg"
    }
  },
  {
    "scene_token": "1c76efe7d0b048bc815c0445eeaa76ab",
    "frame_token": "8ae837b713ca4c17b150a15e6fcdaa49",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization distortion. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by color quantization, which reduces the color detail and contrast in the scene. Despite this, key objects are identifiable: a black SUV is stationary in front of the ego vehicle at coordinates <c1,CAM_FRONT,0.4854,0.5722>, a white SUV is moving behind the ego vehicle at <c2,CAM_BACK,0.4750,0.5917>, a pedestrian is stationary in front at <c3,CAM_FRONT,0.5214,0.6203>, a silver sedan is stationary to the back right at <c4,CAM_BACK_RIGHT,0.3036,0.7703>, and a silver SUV is stationary to the front right at <c5,CAM_FRONT_RIGHT,0.1563,0.6963>. The distortion makes it challenging to perceive finer details, but the general layout and positions remain clear.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-57-39-0400__CAM_FRONT__1535490017762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-57-39-0400__CAM_FRONT_LEFT__1535490017754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-57-39-0400__CAM_FRONT_RIGHT__1535490017770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-57-39-0400__CAM_BACK__1535490017787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-57-39-0400__CAM_BACK_LEFT__1535490017797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-57-39-0400__CAM_BACK_RIGHT__1535490017778113.jpg"
    }
  },
  {
    "scene_token": "1fbcc26ebf6948bb964d3ae74939e8ea",
    "frame_token": "03d203bc6766450dbd430d425c9b3447",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Snow. C. Bit error. D. Sensor failure",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-17-04-15+0800__CAM_FRONT__1533114270162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-17-04-15+0800__CAM_FRONT_LEFT__1533114270154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-17-04-15+0800__CAM_FRONT_RIGHT__1533114270170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-17-04-15+0800__CAM_BACK__1533114270187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-17-04-15+0800__CAM_BACK_LEFT__1533114270197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-17-04-15+0800__CAM_BACK_RIGHT__1533114270177893.jpg"
    }
  },
  {
    "scene_token": "1fbcc26ebf6948bb964d3ae74939e8ea",
    "frame_token": "03d203bc6766450dbd430d425c9b3447",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.3042,0.5408> under colorquant conditions? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "A, Explanation: The object is a white sedan, and despite the colorquant corruption, it is still moving ahead.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-17-04-15+0800__CAM_FRONT__1533114270162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-17-04-15+0800__CAM_FRONT_LEFT__1533114270154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-17-04-15+0800__CAM_FRONT_RIGHT__1533114270170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-17-04-15+0800__CAM_BACK__1533114270187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-17-04-15+0800__CAM_BACK_LEFT__1533114270197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-17-04-15+0800__CAM_BACK_RIGHT__1533114270177893.jpg"
    }
  },
  {
    "scene_token": "1fbcc26ebf6948bb964d3ae74939e8ea",
    "frame_token": "03d203bc6766450dbd430d425c9b3447",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant conditions? Those objects will be considered for future reasoning and driving decisions.",
    "answer": "There is a white sedan to the front of the ego vehicle, a white traffic sign to the front of the ego vehicle, and a white SUV to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.3042,0.5408>, <c2,CAM_FRONT,0.3073,0.5941>, and <c3,CAM_FRONT,0.2708,0.5396>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-17-04-15+0800__CAM_FRONT__1533114270162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-17-04-15+0800__CAM_FRONT_LEFT__1533114270154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-17-04-15+0800__CAM_FRONT_RIGHT__1533114270170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-17-04-15+0800__CAM_BACK__1533114270187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-17-04-15+0800__CAM_BACK_LEFT__1533114270197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-17-04-15+0800__CAM_BACK_RIGHT__1533114270177893.jpg"
    }
  },
  {
    "scene_token": "1fbcc26ebf6948bb964d3ae74939e8ea",
    "frame_token": "03d203bc6766450dbd430d425c9b3447",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant conditions? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice white traffic sign at front camera. It is stationary, so the ego vehicle should continue ahead at the same speed. Secondly, notice white SUV at front camera. It is going ahead, so the ego vehicle should continue ahead at the same speed. Thirdly, notice white sedan at front camera. It is going ahead, so the ego vehicle should continue ahead at the same speed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-17-04-15+0800__CAM_FRONT__1533114270162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-17-04-15+0800__CAM_FRONT_LEFT__1533114270154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-17-04-15+0800__CAM_FRONT_RIGHT__1533114270170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-17-04-15+0800__CAM_BACK__1533114270187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-17-04-15+0800__CAM_BACK_LEFT__1533114270197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-17-04-15+0800__CAM_BACK_RIGHT__1533114270177893.jpg"
    }
  },
  {
    "scene_token": "1fbcc26ebf6948bb964d3ae74939e8ea",
    "frame_token": "03d203bc6766450dbd430d425c9b3447",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.3042,0.5408> a traffic sign or a road barrier under colorquant conditions?",
    "answer": "No, Explanation: The object is a white sedan, not a traffic sign or road barrier, even under colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-17-04-15+0800__CAM_FRONT__1533114270162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-17-04-15+0800__CAM_FRONT_LEFT__1533114270154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-17-04-15+0800__CAM_FRONT_RIGHT__1533114270170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-17-04-15+0800__CAM_BACK__1533114270187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-17-04-15+0800__CAM_BACK_LEFT__1533114270197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-17-04-15+0800__CAM_BACK_RIGHT__1533114270177893.jpg"
    }
  },
  {
    "scene_token": "1fbcc26ebf6948bb964d3ae74939e8ea",
    "frame_token": "03d203bc6766450dbd430d425c9b3447",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant conditions, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, slightly offset to the right.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-17-04-15+0800__CAM_FRONT__1533114270162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-17-04-15+0800__CAM_FRONT_LEFT__1533114270154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-17-04-15+0800__CAM_FRONT_RIGHT__1533114270170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-17-04-15+0800__CAM_BACK__1533114270187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-17-04-15+0800__CAM_BACK_LEFT__1533114270197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-17-04-15+0800__CAM_BACK_RIGHT__1533114270177893.jpg"
    }
  },
  {
    "scene_token": "1fbcc26ebf6948bb964d3ae74939e8ea",
    "frame_token": "03d203bc6766450dbd430d425c9b3447",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.3042,0.5408> under colorquant conditions?",
    "answer": "Slight right turn.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-17-04-15+0800__CAM_FRONT__1533114270162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-17-04-15+0800__CAM_FRONT_LEFT__1533114270154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-17-04-15+0800__CAM_FRONT_RIGHT__1533114270170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-17-04-15+0800__CAM_BACK__1533114270187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-17-04-15+0800__CAM_BACK_LEFT__1533114270197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-17-04-15+0800__CAM_BACK_RIGHT__1533114270177893.jpg"
    }
  },
  {
    "scene_token": "1fbcc26ebf6948bb964d3ae74939e8ea",
    "frame_token": "03d203bc6766450dbd430d425c9b3447",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant conditions. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant conditions, causing a reduction in color detail. Despite this, the scene includes a white sedan moving ahead at coordinates <c1,CAM_FRONT,0.3042,0.5408>, a stationary white traffic sign at <c2,CAM_FRONT,0.3073,0.5941>, and a white SUV also moving ahead at <c3,CAM_FRONT,0.2708,0.5396>. The road is lined with trees and buildings, and visibility is slightly reduced due to the colorquant effect.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-17-04-15+0800__CAM_FRONT__1533114270162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-17-04-15+0800__CAM_FRONT_LEFT__1533114270154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-17-04-15+0800__CAM_FRONT_RIGHT__1533114270170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-17-04-15+0800__CAM_BACK__1533114270187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-17-04-15+0800__CAM_BACK_LEFT__1533114270197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-17-04-15+0800__CAM_BACK_RIGHT__1533114270177893.jpg"
    }
  },
  {
    "scene_token": "4284a8d9b40d42edb9725543db91381e",
    "frame_token": "81bb51133a85471cbf2949c6b279b65a",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Sensor failure. C. Motion blur. D. Fog",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535728831362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535728831354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535728831370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535728831387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535728831397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535728831378113.jpg"
    }
  },
  {
    "scene_token": "4284a8d9b40d42edb9725543db91381e",
    "frame_token": "81bb51133a85471cbf2949c6b279b65a",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under color quantization corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a traffic police wearing black pants to the front right of the ego vehicle, a gray sedan to the front right of the ego vehicle, a silver sedan to the back left of the ego vehicle, a white SUV to the front of the ego vehicle, and a white truck to the back right of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_RIGHT,0.8344,0.6676>, <c2,CAM_FRONT_RIGHT,0.2250,0.6176>, <c3,CAM_BACK_LEFT,0.7661,0.6352>, <c4,CAM_FRONT,0.7172,0.5519>, and <c5,CAM_BACK_RIGHT,0.5964,0.5158>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535728831362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535728831354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535728831370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535728831387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535728831397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535728831378113.jpg"
    }
  },
  {
    "scene_token": "4284a8d9b40d42edb9725543db91381e",
    "frame_token": "81bb51133a85471cbf2949c6b279b65a",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT_RIGHT,0.8344,0.6676> under color quantization corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "A, Explanation: The object is a traffic police wearing black pants, and it is moving ahead.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535728831362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535728831354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535728831370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535728831387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535728831397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535728831378113.jpg"
    }
  },
  {
    "scene_token": "4284a8d9b40d42edb9725543db91381e",
    "frame_token": "81bb51133a85471cbf2949c6b279b65a",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_RIGHT,0.8344,0.6676> a traffic sign or a road barrier under color quantization corruption?",
    "answer": "No, Explanation: The object is a traffic police wearing black pants, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535728831362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535728831354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535728831370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535728831387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535728831397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535728831378113.jpg"
    }
  },
  {
    "scene_token": "4284a8d9b40d42edb9725543db91381e",
    "frame_token": "81bb51133a85471cbf2949c6b279b65a",
    "question_type": "robust_qas",
    "question": "In this scenario under color quantization corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, slightly offset to the left, turn left, and decelerate gradually without braking.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535728831362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535728831354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535728831370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535728831387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535728831397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535728831378113.jpg"
    }
  },
  {
    "scene_token": "4284a8d9b40d42edb9725543db91381e",
    "frame_token": "81bb51133a85471cbf2949c6b279b65a",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT_RIGHT,0.8344,0.6676> under color quantization corruption? Why take this action and what's the probability?",
    "answer": "The action is to turn left, the reason is to avoid a collision with the vehicle detected by the front right camera at a distance of 1335.0 meters and a relative speed of 600.8 m/s, and the probability of taking this action is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535728831362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535728831354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535728831370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535728831387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535728831397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535728831378113.jpg"
    }
  },
  {
    "scene_token": "4284a8d9b40d42edb9725543db91381e",
    "frame_token": "81bb51133a85471cbf2949c6b279b65a",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by color quantization, which reduces the color details, making it challenging to distinguish objects clearly. To the front right, there is a traffic police wearing black pants, identified as <c1,CAM_FRONT_RIGHT,0.8344,0.6676>. A gray sedan is moving to the front right, marked as <c2,CAM_FRONT_RIGHT,0.2250,0.6176>. A stationary silver sedan is located to the back left, identified as <c3,CAM_BACK_LEFT,0.7661,0.6352>. Directly in front, a white SUV is stationary, marked as <c4,CAM_FRONT,0.7172,0.5519>. Finally, a white truck is moving to the back right, identified as <c5,CAM_BACK_RIGHT,0.5964,0.5158>. The overall visibility is reduced due to the color quantization effect.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535728831362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535728831354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535728831370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535728831387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535728831397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535728831378113.jpg"
    }
  },
  {
    "scene_token": "209e9e9c3a2e4a399c44b6aa8be659d6",
    "frame_token": "672026f4880e440da4aff8367d289745",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Zoom blur. C. Dark. D. H256 ABR compression",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-26-11-17-24+0800__CAM_FRONT__1537931882162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_LEFT__1537931882154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_RIGHT__1537931882170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-26-11-17-24+0800__CAM_BACK__1537931882187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-26-11-17-24+0800__CAM_BACK_LEFT__1537931882197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_BACK_RIGHT__1537931882177916.jpg"
    }
  },
  {
    "scene_token": "209e9e9c3a2e4a399c44b6aa8be659d6",
    "frame_token": "672026f4880e440da4aff8367d289745",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_BACK,0.7229,0.5620> under colorquant conditions? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "A, Explanation: The object is a silver sedan moving ahead, and the colorquant corruption does not affect its trajectory.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-26-11-17-24+0800__CAM_FRONT__1537931882162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_LEFT__1537931882154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_RIGHT__1537931882170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-26-11-17-24+0800__CAM_BACK__1537931882187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-26-11-17-24+0800__CAM_BACK_LEFT__1537931882197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_BACK_RIGHT__1537931882177916.jpg"
    }
  },
  {
    "scene_token": "209e9e9c3a2e4a399c44b6aa8be659d6",
    "frame_token": "672026f4880e440da4aff8367d289745",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant conditions? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white obstacle to the front right of the ego vehicle, a silver sedan to the back of the ego vehicle, a black car to the front of the ego vehicle, a cone-shaped barrier to the back of the ego vehicle, and a walking person to the front left of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_RIGHT,0.5864,0.8241>, <c2,CAM_BACK,0.7229,0.5620>, <c3,CAM_FRONT,0.5859,0.5509>, <c4,CAM_BACK,0.2989,0.7417>, and <c5,CAM_FRONT_LEFT,0.5708,0.5287>. The colorquant corruption may affect the visibility but not the presence of these objects.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-26-11-17-24+0800__CAM_FRONT__1537931882162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_LEFT__1537931882154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_RIGHT__1537931882170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-26-11-17-24+0800__CAM_BACK__1537931882187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-26-11-17-24+0800__CAM_BACK_LEFT__1537931882197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_BACK_RIGHT__1537931882177916.jpg"
    }
  },
  {
    "scene_token": "209e9e9c3a2e4a399c44b6aa8be659d6",
    "frame_token": "672026f4880e440da4aff8367d289745",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_RIGHT,0.5864,0.8241> a traffic sign or a road barrier under colorquant conditions?",
    "answer": "Yes, Explanation: The object is a white obstacle, likely a road barrier, and the colorquant effect does not change its classification.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-26-11-17-24+0800__CAM_FRONT__1537931882162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_LEFT__1537931882154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_RIGHT__1537931882170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-26-11-17-24+0800__CAM_BACK__1537931882187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-26-11-17-24+0800__CAM_BACK_LEFT__1537931882197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_BACK_RIGHT__1537931882177916.jpg"
    }
  },
  {
    "scene_token": "209e9e9c3a2e4a399c44b6aa8be659d6",
    "frame_token": "672026f4880e440da4aff8367d289745",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c2,CAM_BACK,0.7229,0.5620> under colorquant conditions? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue, and the probability is high. The colorquant effect does not impact the decision as the vehicle's path remains clear.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-26-11-17-24+0800__CAM_FRONT__1537931882162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_LEFT__1537931882154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_RIGHT__1537931882170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-26-11-17-24+0800__CAM_BACK__1537931882187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-26-11-17-24+0800__CAM_BACK_LEFT__1537931882197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_BACK_RIGHT__1537931882177916.jpg"
    }
  },
  {
    "scene_token": "209e9e9c3a2e4a399c44b6aa8be659d6",
    "frame_token": "672026f4880e440da4aff8367d289745",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c2,CAM_BACK,0.7229,0.5620> under colorquant conditions?",
    "answer": "Back up. The colorquant effect does not change the potential collision risk if the ego vehicle reverses.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-26-11-17-24+0800__CAM_FRONT__1537931882162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_LEFT__1537931882154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_RIGHT__1537931882170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-26-11-17-24+0800__CAM_BACK__1537931882187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-26-11-17-24+0800__CAM_BACK_LEFT__1537931882197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_BACK_RIGHT__1537931882177916.jpg"
    }
  },
  {
    "scene_token": "209e9e9c3a2e4a399c44b6aa8be659d6",
    "frame_token": "672026f4880e440da4aff8367d289745",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant conditions. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant, which alters the color palette, making it challenging to distinguish between objects based on color alone. To the front right, there is a white obstacle (<c1,CAM_FRONT_RIGHT,0.5864,0.8241>). Behind the ego vehicle, a silver sedan (<c2,CAM_BACK,0.7229,0.5620>) is moving. Ahead, a black car (<c3,CAM_FRONT,0.5859,0.5509>) is also in motion. A cone-shaped barrier (<c4,CAM_BACK,0.2989,0.7417>) is positioned at the back, and a pedestrian (<c5,CAM_FRONT_LEFT,0.5708,0.5287>) is walking to the front left. Despite the colorquant effect, the positions and movements of these objects remain identifiable.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-26-11-17-24+0800__CAM_FRONT__1537931882162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_LEFT__1537931882154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_RIGHT__1537931882170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-26-11-17-24+0800__CAM_BACK__1537931882187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-26-11-17-24+0800__CAM_BACK_LEFT__1537931882197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_BACK_RIGHT__1537931882177916.jpg"
    }
  },
  {
    "scene_token": "209e9e9c3a2e4a399c44b6aa8be659d6",
    "frame_token": "348064aa35124ca080e3d52057f13005",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Dark. B. Zoom blur. C. Bright. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-26-11-17-24+0800__CAM_FRONT__1537931866912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_LEFT__1537931866904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_RIGHT__1537931866920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-26-11-17-24+0800__CAM_BACK__1537931866937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-26-11-17-24+0800__CAM_BACK_LEFT__1537931866947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_BACK_RIGHT__1537931866927893.jpg"
    }
  },
  {
    "scene_token": "209e9e9c3a2e4a399c44b6aa8be659d6",
    "frame_token": "348064aa35124ca080e3d52057f13005",
    "question_type": "robust_qas",
    "question": "Considering the colorquant corruption, what are the important objects in the current scene? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a red and white traffic cone to the front of the ego vehicle, a gray sedan to the back of the ego vehicle, a red and white traffic cone to the front right of the ego vehicle, a red and white traffic cone to the front left of the ego vehicle, and a worker wearing a yellow helmet to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.3849,0.7139>, <c2,CAM_BACK,0.3231,0.6787>, <c3,CAM_FRONT_RIGHT,0.0661,0.6852>, <c4,CAM_FRONT_LEFT,0.6864,0.6694>, and <c5,CAM_FRONT,0.5989,0.5111>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-26-11-17-24+0800__CAM_FRONT__1537931866912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_LEFT__1537931866904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_RIGHT__1537931866920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-26-11-17-24+0800__CAM_BACK__1537931866937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-26-11-17-24+0800__CAM_BACK_LEFT__1537931866947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_BACK_RIGHT__1537931866927893.jpg"
    }
  },
  {
    "scene_token": "209e9e9c3a2e4a399c44b6aa8be659d6",
    "frame_token": "348064aa35124ca080e3d52057f13005",
    "question_type": "robust_qas",
    "question": "Under the colorquant corruption, what is the moving status of object <c2,CAM_BACK,0.3231,0.6787>? Please select the correct answer from the following options: A. Going ahead. B. Turn right. C. Turn left.",
    "answer": "B, Explanation: The object is a gray sedan moving and turning right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-26-11-17-24+0800__CAM_FRONT__1537931866912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_LEFT__1537931866904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_RIGHT__1537931866920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-26-11-17-24+0800__CAM_BACK__1537931866937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-26-11-17-24+0800__CAM_BACK_LEFT__1537931866947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_BACK_RIGHT__1537931866927893.jpg"
    }
  },
  {
    "scene_token": "209e9e9c3a2e4a399c44b6aa8be659d6",
    "frame_token": "348064aa35124ca080e3d52057f13005",
    "question_type": "robust_qas",
    "question": "With the colorquant corruption, is <c1,CAM_FRONT,0.3849,0.7139> a traffic sign or a road barrier?",
    "answer": "Yes, Explanation: The object is a red and white traffic cone, which serves as a road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-26-11-17-24+0800__CAM_FRONT__1537931866912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_LEFT__1537931866904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_RIGHT__1537931866920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-26-11-17-24+0800__CAM_BACK__1537931866937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-26-11-17-24+0800__CAM_BACK_LEFT__1537931866947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_BACK_RIGHT__1537931866927893.jpg"
    }
  },
  {
    "scene_token": "209e9e9c3a2e4a399c44b6aa8be659d6",
    "frame_token": "348064aa35124ca080e3d52057f13005",
    "question_type": "robust_qas",
    "question": "Considering the colorquant corruption, what actions taken by the ego vehicle can lead to a collision with <c2,CAM_BACK,0.3231,0.6787>?",
    "answer": "Back up.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-26-11-17-24+0800__CAM_FRONT__1537931866912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_LEFT__1537931866904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_RIGHT__1537931866920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-26-11-17-24+0800__CAM_BACK__1537931866937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-26-11-17-24+0800__CAM_BACK_LEFT__1537931866947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_BACK_RIGHT__1537931866927893.jpg"
    }
  },
  {
    "scene_token": "209e9e9c3a2e4a399c44b6aa8be659d6",
    "frame_token": "348064aa35124ca080e3d52057f13005",
    "question_type": "robust_qas",
    "question": "In this scenario with colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, decelerate gradually without braking, turn left, and slightly offset to the left.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-26-11-17-24+0800__CAM_FRONT__1537931866912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_LEFT__1537931866904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_RIGHT__1537931866920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-26-11-17-24+0800__CAM_BACK__1537931866937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-26-11-17-24+0800__CAM_BACK_LEFT__1537931866947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_BACK_RIGHT__1537931866927893.jpg"
    }
  },
  {
    "scene_token": "209e9e9c3a2e4a399c44b6aa8be659d6",
    "frame_token": "348064aa35124ca080e3d52057f13005",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which alters the color and contrast of the environment. To the front of the ego vehicle, there is a red and white traffic cone at coordinates <c1,CAM_FRONT,0.3849,0.7139>. A gray sedan is moving at the back with coordinates <c2,CAM_BACK,0.3231,0.6787>. Another red and white traffic cone is located to the front right at <c3,CAM_FRONT_RIGHT,0.0661,0.6852>, and one more to the front left at <c4,CAM_FRONT_LEFT,0.6864,0.6694>. A worker wearing a yellow helmet is moving in front of the vehicle at <c5,CAM_FRONT,0.5989,0.5111>. The overall visibility is reduced, making it challenging to distinguish objects.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-26-11-17-24+0800__CAM_FRONT__1537931866912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_LEFT__1537931866904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_RIGHT__1537931866920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-26-11-17-24+0800__CAM_BACK__1537931866937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-26-11-17-24+0800__CAM_BACK_LEFT__1537931866947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_BACK_RIGHT__1537931866927893.jpg"
    }
  },
  {
    "scene_token": "0e247ba64b9d4a34a7256b6c173b1b5d",
    "frame_token": "2700a5b22cd14a0c81d452873d6d49d7",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Motion blur. C. Bit error. D. Sensor failure",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537299228362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537299228354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537299228370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537299228387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537299228397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537299228378113.jpg"
    }
  },
  {
    "scene_token": "0e247ba64b9d4a34a7256b6c173b1b5d",
    "frame_token": "2700a5b22cd14a0c81d452873d6d49d7",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under color quantization corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white truck to the front left of the ego vehicle, a silver sedan to the back of the ego vehicle, and a white truck to the front right of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_LEFT,0.3613,0.4337>, <c2,CAM_BACK,0.6126,0.7140>, and <c3,CAM_FRONT_RIGHT,0.1589,0.4852>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537299228362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537299228354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537299228370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537299228387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537299228397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537299228378113.jpg"
    }
  },
  {
    "scene_token": "0e247ba64b9d4a34a7256b6c173b1b5d",
    "frame_token": "2700a5b22cd14a0c81d452873d6d49d7",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT_LEFT,0.3613,0.4337> under color quantization corruption? Please select the correct answer from the following options: A. Turn right. B. Going ahead. C. Turn left.",
    "answer": "B, Explanation: The object is a white truck moving ahead despite the color quantization corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537299228362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537299228354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537299228370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537299228387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537299228397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537299228378113.jpg"
    }
  },
  {
    "scene_token": "0e247ba64b9d4a34a7256b6c173b1b5d",
    "frame_token": "2700a5b22cd14a0c81d452873d6d49d7",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under color quantization corruption? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice that white truck at left camera. The object is going ahead, so the ego vehicle should keep going ahead at the same speed. Secondly, notice that white truck at right camera. The object is going ahead, so the ego vehicle should keep going ahead at the same speed. Thirdly, notice that silver sedan at back camera. The object is turning left, so the ego vehicle should keep going ahead at the same speed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537299228362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537299228354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537299228370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537299228387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537299228397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537299228378113.jpg"
    }
  },
  {
    "scene_token": "0e247ba64b9d4a34a7256b6c173b1b5d",
    "frame_token": "2700a5b22cd14a0c81d452873d6d49d7",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_LEFT,0.3613,0.4337> a traffic sign or a road barrier under color quantization corruption?",
    "answer": "No, Explanation: The object is a white truck, not a traffic sign or road barrier, even under color quantization corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537299228362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537299228354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537299228370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537299228387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537299228397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537299228378113.jpg"
    }
  },
  {
    "scene_token": "0e247ba64b9d4a34a7256b6c173b1b5d",
    "frame_token": "2700a5b22cd14a0c81d452873d6d49d7",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT_LEFT,0.3613,0.4337> under color quantization corruption? Why take this action and what's the probability?",
    "answer": "The action is to decelerate gradually without braking. The reason is to avoid a collision. The probability is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537299228362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537299228354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537299228370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537299228387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537299228397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537299228378113.jpg"
    }
  },
  {
    "scene_token": "0e247ba64b9d4a34a7256b6c173b1b5d",
    "frame_token": "2700a5b22cd14a0c81d452873d6d49d7",
    "question_type": "robust_qas",
    "question": "In this scenario under color quantization corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Slightly offset to the left, turn left safely.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537299228362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537299228354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537299228370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537299228387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537299228397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537299228378113.jpg"
    }
  },
  {
    "scene_token": "0e247ba64b9d4a34a7256b6c173b1b5d",
    "frame_token": "2700a5b22cd14a0c81d452873d6d49d7",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by color quantization, which reduces the color detail and makes it challenging to distinguish objects clearly. Despite this, a white truck is visible to the front left of the ego vehicle at coordinates <c1,CAM_FRONT_LEFT,0.3613,0.4337>. Another white truck is positioned to the front right at <c3,CAM_FRONT_RIGHT,0.1589,0.4852>. A silver sedan is located behind the ego vehicle at <c2,CAM_BACK,0.6126,0.7140>. The environment includes urban elements like buildings and roads, but their details are less discernible due to the corruption.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537299228362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537299228354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537299228370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537299228387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537299228397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537299228378113.jpg"
    }
  },
  {
    "scene_token": "4431d97ea17044ad9c09c13d16684054",
    "frame_token": "3348c4c56bf44be1b5eb8146d900f081",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Snow. B. Color quant. C. Zoom blur. D. Motion blur",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532662766512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532662766504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532662766520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532662766537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532662766547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532662766527893.jpg"
    }
  },
  {
    "scene_token": "4431d97ea17044ad9c09c13d16684054",
    "frame_token": "3348c4c56bf44be1b5eb8146d900f081",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.5948,0.5953> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "A, Explanation: The object is a white sedan car moving ahead, and the corruption does not affect its trajectory.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532662766512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532662766504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532662766520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532662766537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532662766547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532662766527893.jpg"
    }
  },
  {
    "scene_token": "4431d97ea17044ad9c09c13d16684054",
    "frame_token": "3348c4c56bf44be1b5eb8146d900f081",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white sedan car to the back of the ego vehicle, a gray sedan to the back of the ego vehicle, and a gray-black sedan to the front of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.5948,0.5953>, <c2,CAM_BACK,0.1163,0.6926>, and <c3,CAM_FRONT,0.1344,0.5000>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532662766512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532662766504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532662766520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532662766537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532662766547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532662766527893.jpg"
    }
  },
  {
    "scene_token": "4431d97ea17044ad9c09c13d16684054",
    "frame_token": "3348c4c56bf44be1b5eb8146d900f081",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.5948,0.5953> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a white sedan car, not a traffic sign or road barrier, despite the colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532662766512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532662766504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532662766520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532662766537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532662766547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532662766527893.jpg"
    }
  },
  {
    "scene_token": "4431d97ea17044ad9c09c13d16684054",
    "frame_token": "3348c4c56bf44be1b5eb8146d900f081",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant corruption? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice that gray-black sedan at front camera. The object is stationary, so the ego vehicle should continue ahead at the same speed. Secondly, notice that gray sedan at back camera. The object is stationary, so the ego vehicle should continue ahead at the same speed. Thirdly, notice that white sedan car at back camera. The object is moving ahead, so the ego vehicle should continue ahead at the same speed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532662766512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532662766504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532662766520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532662766537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532662766547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532662766527893.jpg"
    }
  },
  {
    "scene_token": "4431d97ea17044ad9c09c13d16684054",
    "frame_token": "3348c4c56bf44be1b5eb8146d900f081",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Slightly offset to the right, keep going at the same speed, and decelerate gradually without braking.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532662766512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532662766504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532662766520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532662766537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532662766547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532662766527893.jpg"
    }
  },
  {
    "scene_token": "4431d97ea17044ad9c09c13d16684054",
    "frame_token": "3348c4c56bf44be1b5eb8146d900f081",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.5948,0.5953> under colorquant corruption?",
    "answer": "Back up.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532662766512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532662766504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532662766520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532662766537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532662766547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532662766527893.jpg"
    }
  },
  {
    "scene_token": "4431d97ea17044ad9c09c13d16684054",
    "frame_token": "3348c4c56bf44be1b5eb8146d900f081",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, which alters the color representation of the scene. Despite this, the key objects are identifiable: a white sedan car is moving behind the ego vehicle at coordinates <c1,CAM_BACK,0.5948,0.5953>, a gray sedan is stationary behind the ego vehicle at <c2,CAM_BACK,0.1163,0.6926>, and a gray-black sedan is stationary in front of the ego vehicle at <c3,CAM_FRONT,0.1344,0.5000>. The road appears darker, and the surrounding trees and buildings are less distinct due to the color distortion.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532662766512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532662766504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532662766520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532662766537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532662766547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532662766527893.jpg"
    }
  },
  {
    "scene_token": "b829278aae2747959f2a95423455bbcb",
    "frame_token": "e962e335984b400c8239157c0982f435",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Zoom blur. B. Color quant. C. Fog. D. H256 ABR compression",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-41-50-0400__CAM_FRONT__1537293226262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_LEFT__1537293226254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_RIGHT__1537293226270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-41-50-0400__CAM_BACK__1537293226287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-41-50-0400__CAM_BACK_LEFT__1537293226297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_BACK_RIGHT__1537293226278113.jpg"
    }
  },
  {
    "scene_token": "b829278aae2747959f2a95423455bbcb",
    "frame_token": "e962e335984b400c8239157c0982f435",
    "question_type": "robust_qas",
    "question": "Considering the colorquant corruption, what is the moving status of object <c3,CAM_FRONT,0.6823,0.5602>? Please select the correct answer from the following options: A. Turn right. B. Going ahead. C. Turn left.",
    "answer": "B, Explanation: The object is pedestrians crossing the road, and they are moving ahead.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-41-50-0400__CAM_FRONT__1537293226262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_LEFT__1537293226254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_RIGHT__1537293226270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-41-50-0400__CAM_BACK__1537293226287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-41-50-0400__CAM_BACK_LEFT__1537293226297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_BACK_RIGHT__1537293226278113.jpg"
    }
  },
  {
    "scene_token": "b829278aae2747959f2a95423455bbcb",
    "frame_token": "e962e335984b400c8239157c0982f435",
    "question_type": "robust_qas",
    "question": "Under the colorquant corruption, what are the important objects in the current scene? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a gray SUV to the front left of the ego vehicle, a white truck to the front of the ego vehicle, pedestrians crossing the road to the front of the ego vehicle, a white motorhome to the back of the ego vehicle, and a white SUV to the front right of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_LEFT,0.6974,0.5889>, <c2,CAM_FRONT,0.4692,0.5064>, <c3,CAM_FRONT,0.6823,0.5602>, <c4,CAM_BACK,0.3229,0.5611>, and <c5,CAM_FRONT_RIGHT,0.3911,0.7797>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-41-50-0400__CAM_FRONT__1537293226262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_LEFT__1537293226254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_RIGHT__1537293226270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-41-50-0400__CAM_BACK__1537293226287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-41-50-0400__CAM_BACK_LEFT__1537293226297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_BACK_RIGHT__1537293226278113.jpg"
    }
  },
  {
    "scene_token": "b829278aae2747959f2a95423455bbcb",
    "frame_token": "e962e335984b400c8239157c0982f435",
    "question_type": "robust_qas",
    "question": "With the colorquant corruption, is <c1,CAM_FRONT_LEFT,0.6974,0.5889> a traffic sign or a road barrier?",
    "answer": "No, Explanation: The object is a gray SUV, which is a vehicle, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-41-50-0400__CAM_FRONT__1537293226262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_LEFT__1537293226254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_RIGHT__1537293226270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-41-50-0400__CAM_BACK__1537293226287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-41-50-0400__CAM_BACK_LEFT__1537293226297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_BACK_RIGHT__1537293226278113.jpg"
    }
  },
  {
    "scene_token": "b829278aae2747959f2a95423455bbcb",
    "frame_token": "e962e335984b400c8239157c0982f435",
    "question_type": "robust_qas",
    "question": "Considering the colorquant corruption, what actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT_LEFT,0.6974,0.5889>?",
    "answer": "Sharp left turn.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-41-50-0400__CAM_FRONT__1537293226262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_LEFT__1537293226254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_RIGHT__1537293226270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-41-50-0400__CAM_BACK__1537293226287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-41-50-0400__CAM_BACK_LEFT__1537293226297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_BACK_RIGHT__1537293226278113.jpg"
    }
  },
  {
    "scene_token": "b829278aae2747959f2a95423455bbcb",
    "frame_token": "e962e335984b400c8239157c0982f435",
    "question_type": "robust_qas",
    "question": "Under the colorquant corruption, what actions could the ego vehicle take based on <c1,CAM_FRONT_LEFT,0.6974,0.5889>? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue, with a high probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-41-50-0400__CAM_FRONT__1537293226262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_LEFT__1537293226254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_RIGHT__1537293226270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-41-50-0400__CAM_BACK__1537293226287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-41-50-0400__CAM_BACK_LEFT__1537293226297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_BACK_RIGHT__1537293226278113.jpg"
    }
  },
  {
    "scene_token": "b829278aae2747959f2a95423455bbcb",
    "frame_token": "e962e335984b400c8239157c0982f435",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, making the colors appear reduced and less distinct. To the front left of the ego vehicle, there is a stationary gray SUV. Directly in front, a white truck is also stationary. Pedestrians are crossing the road ahead, moving across the scene. Behind the ego vehicle, a white motorhome is parked. To the front right, a white SUV is stationary. The reduced color palette makes it challenging to distinguish these objects clearly.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-41-50-0400__CAM_FRONT__1537293226262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_LEFT__1537293226254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_RIGHT__1537293226270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-41-50-0400__CAM_BACK__1537293226287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-41-50-0400__CAM_BACK_LEFT__1537293226297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_BACK_RIGHT__1537293226278113.jpg"
    }
  },
  {
    "scene_token": "9ac6dff089a84a6d8f066122443a10db",
    "frame_token": "7f32be25afaa443b835caa40b5e19b80",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Dark. C. Bit error. D. Zoom blur",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985204262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985204254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985204270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985204287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985204297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985204277893.jpg"
    }
  },
  {
    "scene_token": "9ac6dff089a84a6d8f066122443a10db",
    "frame_token": "7f32be25afaa443b835caa40b5e19b80",
    "question_type": "robust_qas",
    "question": "Considering the colorquant corruption, what are the important objects in the current scene? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a blue bus to the back of the ego vehicle, a black SUV to the front left of the ego vehicle, a pedestrian wearing a black shirt to the front of the ego vehicle, a red and white signboard to the back left of the ego vehicle, a red and blue sign to the back right of the ego vehicle, and a wide-angle lens to the front right of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.5833,0.5658>, <c2,CAM_FRONT_LEFT,0.5232,0.7280>, <c3,CAM_FRONT,0.3958,0.5722>, <c4,CAM_BACK_LEFT,0.5373,0.5130>, <c5,CAM_BACK_RIGHT,0.3996,0.5488>, and <c6,CAM_FRONT_RIGHT,0.4626,0.6582>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985204262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985204254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985204270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985204287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985204297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985204277893.jpg"
    }
  },
  {
    "scene_token": "9ac6dff089a84a6d8f066122443a10db",
    "frame_token": "7f32be25afaa443b835caa40b5e19b80",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.5833,0.5658> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "A, Explanation: The object is a blue bus moving ahead, and the corruption does not change its status.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985204262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985204254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985204270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985204287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985204297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985204277893.jpg"
    }
  },
  {
    "scene_token": "9ac6dff089a84a6d8f066122443a10db",
    "frame_token": "7f32be25afaa443b835caa40b5e19b80",
    "question_type": "robust_qas",
    "question": "Under colorquant corruption, is <c1,CAM_BACK,0.5833,0.5658> a traffic sign or a road barrier?",
    "answer": "No, Explanation: The object is a blue bus, not a traffic sign or road barrier, and the corruption does not alter its identity.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985204262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985204254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985204270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985204287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985204297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985204277893.jpg"
    }
  },
  {
    "scene_token": "9ac6dff089a84a6d8f066122443a10db",
    "frame_token": "7f32be25afaa443b835caa40b5e19b80",
    "question_type": "robust_qas",
    "question": "Considering the colorquant corruption, what are safe actions to take for the ego vehicle in this scenario?",
    "answer": "Keep going at the same speed, slightly offset to the right, and slightly offset to the left.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985204262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985204254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985204270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985204287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985204297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985204277893.jpg"
    }
  },
  {
    "scene_token": "9ac6dff089a84a6d8f066122443a10db",
    "frame_token": "7f32be25afaa443b835caa40b5e19b80",
    "question_type": "robust_qas",
    "question": "Under colorquant corruption, what actions could the ego vehicle take based on <c1,CAM_BACK,0.5833,0.5658>? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed because there is no safety issue, with a high probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985204262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985204254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985204270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985204287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985204297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985204277893.jpg"
    }
  },
  {
    "scene_token": "9ac6dff089a84a6d8f066122443a10db",
    "frame_token": "7f32be25afaa443b835caa40b5e19b80",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, making colors appear less distinct and more segmented. Despite this, key objects are identifiable: a blue bus is moving behind the ego vehicle at coordinates <c1,CAM_BACK,0.5833,0.5658>. A black SUV is moving to the front left at <c2,CAM_FRONT_LEFT,0.5232,0.7280>. A pedestrian wearing a black shirt is walking in front of the ego vehicle at <c3,CAM_FRONT,0.3958,0.5722>. A red and white signboard is positioned to the back left at <c4,CAM_BACK_LEFT,0.5373,0.5130>, and a red and blue sign is to the back right at <c5,CAM_BACK_RIGHT,0.3996,0.5488>. A wide-angle lens is visible to the front right at <c6,CAM_FRONT_RIGHT,0.4626,0.6582>.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985204262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985204254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985204270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985204287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985204297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985204277893.jpg"
    }
  },
  {
    "scene_token": "261e8288cf5647e396ab584e210e4ba1",
    "frame_token": "c491f4208578427196426474746a16f1",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. H256 ABR compression. B. Dark. C. Color quant. D. JPEG compression",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985735162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985735154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985735170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985735187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985735197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985735177893.jpg"
    }
  },
  {
    "scene_token": "261e8288cf5647e396ab584e210e4ba1",
    "frame_token": "c491f4208578427196426474746a16f1",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK_RIGHT,0.4938,0.7342> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "A, Explanation: The object is a black car moving ahead, and the colorquant corruption does not affect its movement direction.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985735162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985735154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985735170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985735187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985735197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985735177893.jpg"
    }
  },
  {
    "scene_token": "261e8288cf5647e396ab584e210e4ba1",
    "frame_token": "c491f4208578427196426474746a16f1",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black car to the back right of the ego vehicle, a person wearing a white shirt to the front of the ego vehicle, and a white straight left arrow to the front of the ego vehicle. The IDs of these objects are <c1,CAM_BACK_RIGHT,0.4938,0.7342>, <c2,CAM_FRONT,0.3391,0.5509>, and <c3,CAM_FRONT,0.4589,0.5950>. The colorquant corruption does not obscure these objects.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985735162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985735154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985735170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985735187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985735197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985735177893.jpg"
    }
  },
  {
    "scene_token": "261e8288cf5647e396ab584e210e4ba1",
    "frame_token": "c491f4208578427196426474746a16f1",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK_RIGHT,0.4938,0.7342> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a black car, not a traffic sign or road barrier. The colorquant corruption does not change its classification.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985735162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985735154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985735170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985735187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985735197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985735177893.jpg"
    }
  },
  {
    "scene_token": "261e8288cf5647e396ab584e210e4ba1",
    "frame_token": "c491f4208578427196426474746a16f1",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant corruption? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly notice that white straight left arrow at front camera. The object is a traffic sign, so the ego vehicle should continue ahead at the same speed. Secondly notice that person wearing a white shirt at front camera. The object is stationary, so the ego vehicle should continue ahead at the same speed. Thirdly notice that black car at right rear camera. The object is going ahead, so the ego vehicle should continue ahead at the same speed. The colorquant corruption does not affect the order or actions.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985735162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985735154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985735170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985735187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985735197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985735177893.jpg"
    }
  },
  {
    "scene_token": "261e8288cf5647e396ab584e210e4ba1",
    "frame_token": "c491f4208578427196426474746a16f1",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, decelerate gradually without braking. The colorquant corruption does not change the safety of these actions.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985735162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985735154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985735170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985735187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985735197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985735177893.jpg"
    }
  },
  {
    "scene_token": "261e8288cf5647e396ab584e210e4ba1",
    "frame_token": "c491f4208578427196426474746a16f1",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK_RIGHT,0.4938,0.7342> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue, and the probability is high. The colorquant corruption does not affect this decision.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985735162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985735154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985735170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985735187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985735197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985735177893.jpg"
    }
  },
  {
    "scene_token": "261e8288cf5647e396ab584e210e4ba1",
    "frame_token": "c491f4208578427196426474746a16f1",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, which alters the color palette, making it more challenging to distinguish objects based on color alone. Despite this, key objects remain identifiable: a black car is located to the back right of the ego vehicle at coordinates <c1,CAM_BACK_RIGHT,0.4938,0.7342>, a person wearing a white shirt is stationary in front of the ego vehicle at <c2,CAM_FRONT,0.3391,0.5509>, and a white straight left arrow is visible on the road at <c3,CAM_FRONT,0.4589,0.5950>. The road is clear, and the ego vehicle can proceed with caution, maintaining awareness of these objects.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985735162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985735154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985735170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985735187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985735197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985735177893.jpg"
    }
  },
  {
    "scene_token": "261e8288cf5647e396ab584e210e4ba1",
    "frame_token": "f98e70b9cf584ea9b8c2ef01b57b1afa",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Motion blur. C. H256 ABR compression. D. Bit error",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985729162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985729154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985729170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985729187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985729197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985729177893.jpg"
    }
  },
  {
    "scene_token": "261e8288cf5647e396ab584e210e4ba1",
    "frame_token": "f98e70b9cf584ea9b8c2ef01b57b1afa",
    "question_type": "robust_qas",
    "question": "Considering the color quantization effect, what are the important objects in the current scene? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black car to the front right of the ego vehicle, a black car to the front of the ego vehicle, pedestrians on the roadside to the front of the ego vehicle, and a road traffic signs to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_RIGHT,0.9058,0.7491>, <c2,CAM_FRONT,0.6927,0.5564>, <c3,CAM_FRONT,0.0326,0.5998>, and <c4,CAM_FRONT,0.1813,0.2148>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985729162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985729154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985729170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985729187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985729197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985729177893.jpg"
    }
  },
  {
    "scene_token": "261e8288cf5647e396ab584e210e4ba1",
    "frame_token": "f98e70b9cf584ea9b8c2ef01b57b1afa",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT_RIGHT,0.9058,0.7491> under color quantization? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "B, Explanation: The object is a black car moving ahead, and the color quantization does not affect its trajectory.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985729162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985729154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985729170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985729187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985729197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985729177893.jpg"
    }
  },
  {
    "scene_token": "261e8288cf5647e396ab584e210e4ba1",
    "frame_token": "f98e70b9cf584ea9b8c2ef01b57b1afa",
    "question_type": "robust_qas",
    "question": "Under the color quantization effect, is <c1,CAM_FRONT_RIGHT,0.9058,0.7491> a traffic sign or a road barrier?",
    "answer": "No, Explanation: The object is a black car, not a traffic sign or road barrier, despite the color quantization.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985729162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985729154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985729170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985729187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985729197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985729177893.jpg"
    }
  },
  {
    "scene_token": "261e8288cf5647e396ab584e210e4ba1",
    "frame_token": "f98e70b9cf584ea9b8c2ef01b57b1afa",
    "question_type": "robust_qas",
    "question": "Considering the color quantization, what are safe actions to take for the ego vehicle in this scenario?",
    "answer": "Keep going at the same speed, accelerate and go ahead, brake gently to a stop, decelerate gradually without braking, slightly offset to the right, slightly offset to the left, change to the right lane, or back up.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985729162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985729154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985729170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985729187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985729197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985729177893.jpg"
    }
  },
  {
    "scene_token": "261e8288cf5647e396ab584e210e4ba1",
    "frame_token": "f98e70b9cf584ea9b8c2ef01b57b1afa",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT_RIGHT,0.9058,0.7491> under color quantization? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that the object has little reference value for the ego vehicle, with a high probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985729162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985729154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985729170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985729187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985729197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985729177893.jpg"
    }
  },
  {
    "scene_token": "261e8288cf5647e396ab584e210e4ba1",
    "frame_token": "f98e70b9cf584ea9b8c2ef01b57b1afa",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by color quantization, which reduces the color detail and makes it challenging to distinguish objects. A black car is moving to the front right of the ego vehicle at coordinates <c1,CAM_FRONT_RIGHT,0.9058,0.7491>. Another black car is directly in front of the ego vehicle at <c2,CAM_FRONT,0.6927,0.5564>. Pedestrians are visible on the roadside at <c3,CAM_FRONT,0.0326,0.5998>, and road traffic signs are positioned at <c4,CAM_FRONT,0.1813,0.2148>. Despite the color quantization, these objects remain identifiable.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985729162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985729154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985729170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985729187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985729197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985729177893.jpg"
    }
  },
  {
    "scene_token": "64ca274b5f69458bb5d21e0e2e071902",
    "frame_token": "e56e169f25274dc1bf12c25363ef6ddc",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Snow. C. Saturate. D. Sensor failure",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537299514862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537299514854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537299514870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537299514887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537299514897414.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537299514878113.jpg"
    }
  },
  {
    "scene_token": "64ca274b5f69458bb5d21e0e2e071902",
    "frame_token": "e56e169f25274dc1bf12c25363ef6ddc",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT_LEFT,0.2292,0.3686> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "A, Explanation: The object is a white truck moving ahead despite the colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537299514862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537299514854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537299514870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537299514887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537299514897414.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537299514878113.jpg"
    }
  },
  {
    "scene_token": "64ca274b5f69458bb5d21e0e2e071902",
    "frame_token": "e56e169f25274dc1bf12c25363ef6ddc",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white truck to the front left of the ego vehicle, a black sedan to the back of the ego vehicle, a black sedan to the front right of the ego vehicle, and a black SUV to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_LEFT,0.2292,0.3686>, <c2,CAM_BACK,0.6146,0.6417>, <c3,CAM_FRONT_RIGHT,0.5604,0.5324>, and <c4,CAM_FRONT,0.5646,0.5528>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537299514862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537299514854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537299514870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537299514887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537299514897414.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537299514878113.jpg"
    }
  },
  {
    "scene_token": "64ca274b5f69458bb5d21e0e2e071902",
    "frame_token": "e56e169f25274dc1bf12c25363ef6ddc",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_LEFT,0.2292,0.3686> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a white truck, not a traffic sign or road barrier, even under colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537299514862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537299514854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537299514870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537299514887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537299514897414.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537299514878113.jpg"
    }
  },
  {
    "scene_token": "64ca274b5f69458bb5d21e0e2e071902",
    "frame_token": "e56e169f25274dc1bf12c25363ef6ddc",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT_LEFT,0.2292,0.3686> under colorquant corruption?",
    "answer": "No such action will lead to a collision.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537299514862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537299514854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537299514870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537299514887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537299514897414.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537299514878113.jpg"
    }
  },
  {
    "scene_token": "64ca274b5f69458bb5d21e0e2e071902",
    "frame_token": "e56e169f25274dc1bf12c25363ef6ddc",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, slightly offset to the left, and slightly offset to the right.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537299514862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537299514854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537299514870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537299514887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537299514897414.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537299514878113.jpg"
    }
  },
  {
    "scene_token": "64ca274b5f69458bb5d21e0e2e071902",
    "frame_token": "e56e169f25274dc1bf12c25363ef6ddc",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, which alters the color fidelity of the scene. A white truck is moving to the front left of the ego vehicle at coordinates (0.2292, 0.3686). A black sedan is moving behind the ego vehicle at coordinates (0.6146, 0.6417). Another black sedan is stationary to the front right at coordinates (0.5604, 0.5324), and a black SUV is stationary directly in front at coordinates (0.5646, 0.5528). Despite the color distortion, the positions and statuses of these vehicles are clear.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537299514862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537299514854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537299514870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537299514887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537299514897414.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537299514878113.jpg"
    }
  },
  {
    "scene_token": "a2e8f126913b4f72909e06d881dc5a8b",
    "frame_token": "317027e758554b18ab8e98a9a0cd3a7a",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Motion blur. B. Saturate. C. Color quant. D. Bit error",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845355662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845355654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845355670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845355687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845355697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845355677893.jpg"
    }
  },
  {
    "scene_token": "a2e8f126913b4f72909e06d881dc5a8b",
    "frame_token": "317027e758554b18ab8e98a9a0cd3a7a",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant conditions? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a silver sedan to the front right of the ego vehicle, a black sedan car to the back of the ego vehicle, a black sedan to the front right of the ego vehicle, and a white truck to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_RIGHT,0.7854,0.7694>, <c2,CAM_BACK,0.5172,0.5833>, <c3,CAM_FRONT_RIGHT,0.0192,0.6297>, and <c4,CAM_FRONT,0.4516,0.5472>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845355662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845355654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845355670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845355687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845355697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845355677893.jpg"
    }
  },
  {
    "scene_token": "a2e8f126913b4f72909e06d881dc5a8b",
    "frame_token": "317027e758554b18ab8e98a9a0cd3a7a",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT_RIGHT,0.7854,0.7694> under colorquant conditions? Please select the correct answer from the following options: A. Going ahead. B. Turn right. C. Turn left.",
    "answer": "A, Explanation: The object is a silver sedan moving ahead.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845355662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845355654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845355670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845355687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845355697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845355677893.jpg"
    }
  },
  {
    "scene_token": "a2e8f126913b4f72909e06d881dc5a8b",
    "frame_token": "317027e758554b18ab8e98a9a0cd3a7a",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_RIGHT,0.7854,0.7694> a traffic sign or a road barrier under colorquant conditions?",
    "answer": "No, Explanation: The object is a silver sedan, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845355662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845355654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845355670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845355687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845355697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845355677893.jpg"
    }
  },
  {
    "scene_token": "a2e8f126913b4f72909e06d881dc5a8b",
    "frame_token": "317027e758554b18ab8e98a9a0cd3a7a",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT_RIGHT,0.7854,0.7694> under colorquant conditions?",
    "answer": "No action taken by the ego vehicle will lead to a collision with <c1,CAM_FRONT_RIGHT,0.7854,0.7694>.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845355662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845355654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845355670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845355687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845355697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845355677893.jpg"
    }
  },
  {
    "scene_token": "a2e8f126913b4f72909e06d881dc5a8b",
    "frame_token": "317027e758554b18ab8e98a9a0cd3a7a",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant conditions, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, slightly offset to the left.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845355662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845355654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845355670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845355687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845355697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845355677893.jpg"
    }
  },
  {
    "scene_token": "a2e8f126913b4f72909e06d881dc5a8b",
    "frame_token": "317027e758554b18ab8e98a9a0cd3a7a",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant conditions. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant conditions, causing reduced color fidelity and contrast. To the front right, there is a silver sedan moving ahead, identified at coordinates <c1,CAM_FRONT_RIGHT,0.7854,0.7694>. Behind the ego vehicle, a black sedan car is moving, located at <c2,CAM_BACK,0.5172,0.5833>. Another black sedan is also moving to the front right at <c3,CAM_FRONT_RIGHT,0.0192,0.6297>. Directly in front, a white truck is moving, positioned at <c4,CAM_FRONT,0.4516,0.5472>. The overall scene is challenging due to the color distortion, requiring careful attention to object identification and movement.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845355662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845355654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845355670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845355687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845355697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845355677893.jpg"
    }
  },
  {
    "scene_token": "ab8bf18dfce14db4b8213b88f5dc1429",
    "frame_token": "e2143daf5b154add8ded09798da8d34e",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Rain. B. Color quant. C. Snow. D. H256 ABR compression",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535728953912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535728953904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535728953920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535728953937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535728953947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535728953928113.jpg"
    }
  },
  {
    "scene_token": "ab8bf18dfce14db4b8213b88f5dc1429",
    "frame_token": "e2143daf5b154add8ded09798da8d34e",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_BACK,0.4808,0.5213> under colorquant corruption? Please select the correct answer from the following options: A. Turn right. B. Going ahead. C. Turn left.",
    "answer": "B, Explanation: The object is a white truck moving ahead, unaffected by the colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535728953912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535728953904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535728953920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535728953937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535728953947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535728953928113.jpg"
    }
  },
  {
    "scene_token": "ab8bf18dfce14db4b8213b88f5dc1429",
    "frame_token": "e2143daf5b154add8ded09798da8d34e",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene considering the colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white SUV to the front of the ego vehicle, a white truck to the back of the ego vehicle, a right turn arrow to the front of the ego vehicle, a black traffic light to the front of the ego vehicle, and a white pillar to the front right of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.3948,0.5592>, <c2,CAM_BACK,0.4808,0.5213>, <c3,CAM_FRONT,0.6970,0.6401>, <c4,CAM_FRONT,0.4754,0.4486>, and <c5,CAM_FRONT_RIGHT,0.1117,0.3769>. The colorquant corruption does not change the importance of these objects.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535728953912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535728953904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535728953920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535728953937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535728953947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535728953928113.jpg"
    }
  },
  {
    "scene_token": "ab8bf18dfce14db4b8213b88f5dc1429",
    "frame_token": "e2143daf5b154add8ded09798da8d34e",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.3948,0.5592> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a white SUV, not a traffic sign or road barrier, even with colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535728953912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535728953904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535728953920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535728953937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535728953947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535728953928113.jpg"
    }
  },
  {
    "scene_token": "ab8bf18dfce14db4b8213b88f5dc1429",
    "frame_token": "e2143daf5b154add8ded09798da8d34e",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.3948,0.5592> considering colorquant corruption?",
    "answer": "Moderate left turn.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535728953912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535728953904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535728953920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535728953937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535728953947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535728953928113.jpg"
    }
  },
  {
    "scene_token": "ab8bf18dfce14db4b8213b88f5dc1429",
    "frame_token": "e2143daf5b154add8ded09798da8d34e",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.3948,0.5592> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to brake gently to a stop, the reason is to follow the traffic rules, high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535728953912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535728953904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535728953920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535728953937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535728953947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535728953928113.jpg"
    }
  },
  {
    "scene_token": "ab8bf18dfce14db4b8213b88f5dc1429",
    "frame_token": "e2143daf5b154add8ded09798da8d34e",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, which alters the color palette, making it challenging to distinguish objects based on color. The scene includes a stationary white SUV at the front (coordinates: 0.3948, 0.5592), a moving white truck at the back (coordinates: 0.4808, 0.5213), a right turn arrow on the road (coordinates: 0.6970, 0.6401), a black traffic light ahead (coordinates: 0.4754, 0.4486), and a white pillar to the front right (coordinates: 0.1117, 0.3769). Despite the color distortion, the spatial arrangement of these objects remains clear.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535728953912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535728953904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535728953920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535728953937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535728953947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535728953928113.jpg"
    }
  },
  {
    "scene_token": "210add02013a4dfa84b7c5e23058781f",
    "frame_token": "74f9577414b745b0b0dcf3b241f2f0a7",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Zoom blur. C. JPEG compression. D. Dark",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-26-12-13-50-0400__CAM_FRONT__1532621923612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_LEFT__1532621923604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_RIGHT__1532621923620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-26-12-13-50-0400__CAM_BACK__1532621923637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-26-12-13-50-0400__CAM_BACK_LEFT__1532621923647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_BACK_RIGHT__1532621923628113.jpg"
    }
  },
  {
    "scene_token": "210add02013a4dfa84b7c5e23058781f",
    "frame_token": "74f9577414b745b0b0dcf3b241f2f0a7",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under color quantization corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white truck to the front of the ego vehicle, a black sedan to the front of the ego vehicle, a black van to the back of the ego vehicle, and a red SUV to the front left of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.5377,0.5278>, <c2,CAM_FRONT,0.2714,0.5917>, <c3,CAM_BACK,0.5583,0.5842>, and <c4,CAM_FRONT_LEFT,0.6823,0.6389>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-26-12-13-50-0400__CAM_FRONT__1532621923612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_LEFT__1532621923604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_RIGHT__1532621923620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-26-12-13-50-0400__CAM_BACK__1532621923637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-26-12-13-50-0400__CAM_BACK_LEFT__1532621923647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_BACK_RIGHT__1532621923628113.jpg"
    }
  },
  {
    "scene_token": "210add02013a4dfa84b7c5e23058781f",
    "frame_token": "74f9577414b745b0b0dcf3b241f2f0a7",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_FRONT,0.2714,0.5917> under color quantization corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "A, Explanation: The object is a black sedan moving ahead, and the color quantization does not affect its movement status.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-26-12-13-50-0400__CAM_FRONT__1532621923612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_LEFT__1532621923604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_RIGHT__1532621923620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-26-12-13-50-0400__CAM_BACK__1532621923637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-26-12-13-50-0400__CAM_BACK_LEFT__1532621923647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_BACK_RIGHT__1532621923628113.jpg"
    }
  },
  {
    "scene_token": "210add02013a4dfa84b7c5e23058781f",
    "frame_token": "74f9577414b745b0b0dcf3b241f2f0a7",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.5377,0.5278> a traffic sign or a road barrier under color quantization corruption?",
    "answer": "No, Explanation: The object is a white truck, and the color quantization does not change its category.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-26-12-13-50-0400__CAM_FRONT__1532621923612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_LEFT__1532621923604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_RIGHT__1532621923620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-26-12-13-50-0400__CAM_BACK__1532621923637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-26-12-13-50-0400__CAM_BACK_LEFT__1532621923647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_BACK_RIGHT__1532621923628113.jpg"
    }
  },
  {
    "scene_token": "210add02013a4dfa84b7c5e23058781f",
    "frame_token": "74f9577414b745b0b0dcf3b241f2f0a7",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.5377,0.5278> under color quantization corruption?",
    "answer": "Accelerating and going straight.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-26-12-13-50-0400__CAM_FRONT__1532621923612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_LEFT__1532621923604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_RIGHT__1532621923620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-26-12-13-50-0400__CAM_BACK__1532621923637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-26-12-13-50-0400__CAM_BACK_LEFT__1532621923647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_BACK_RIGHT__1532621923628113.jpg"
    }
  },
  {
    "scene_token": "210add02013a4dfa84b7c5e23058781f",
    "frame_token": "74f9577414b745b0b0dcf3b241f2f0a7",
    "question_type": "robust_qas",
    "question": "In this scenario under color quantization corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Brake gently to a stop and change to the right lane.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-26-12-13-50-0400__CAM_FRONT__1532621923612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_LEFT__1532621923604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_RIGHT__1532621923620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-26-12-13-50-0400__CAM_BACK__1532621923637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-26-12-13-50-0400__CAM_BACK_LEFT__1532621923647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_BACK_RIGHT__1532621923628113.jpg"
    }
  },
  {
    "scene_token": "210add02013a4dfa84b7c5e23058781f",
    "frame_token": "74f9577414b745b0b0dcf3b241f2f0a7",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by color quantization, making it challenging to distinguish colors clearly. In front of the ego vehicle, there is a stationary white truck positioned at coordinates <c1,CAM_FRONT,0.5377,0.5278>. A moving black sedan is also in front, located at <c2,CAM_FRONT,0.2714,0.5917>. Behind the ego vehicle, a black van is moving, identified at <c3,CAM_BACK,0.5583,0.5842>. To the front left, a red SUV is moving, positioned at <c4,CAM_FRONT_LEFT,0.6823,0.6389>. Despite the color quantization, the positions and movements of these vehicles are clear.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-26-12-13-50-0400__CAM_FRONT__1532621923612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_LEFT__1532621923604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_RIGHT__1532621923620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-26-12-13-50-0400__CAM_BACK__1532621923637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-26-12-13-50-0400__CAM_BACK_LEFT__1532621923647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_BACK_RIGHT__1532621923628113.jpg"
    }
  },
  {
    "scene_token": "643ee37539844cb2b0453fd031a3afdd",
    "frame_token": "12a0559497ae4592b3e061a591f7c35e",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Rain. B. Sensor failure. C. Dark. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-52-26-0400__CAM_FRONT__1535659488512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_LEFT__1535659488504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_RIGHT__1535659488520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-52-26-0400__CAM_BACK__1535659488537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-52-26-0400__CAM_BACK_LEFT__1535659488547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_BACK_RIGHT__1535659488528113.jpg"
    }
  },
  {
    "scene_token": "643ee37539844cb2b0453fd031a3afdd",
    "frame_token": "12a0559497ae4592b3e061a591f7c35e",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under color quantization corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black sedan to the front of the ego vehicle, a gray SUV to the back right of the ego vehicle, a black sedan to the back of the ego vehicle, a white truck to the front of the ego vehicle, and a gray sedan to the back left of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.1380,0.6037>, <c2,CAM_BACK_RIGHT,0.7531,0.7056>, <c3,CAM_BACK,0.5573,0.5870>, <c4,CAM_FRONT,0.6964,0.4991>, and <c5,CAM_BACK_LEFT,0.2594,0.6824>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-52-26-0400__CAM_FRONT__1535659488512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_LEFT__1535659488504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_RIGHT__1535659488520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-52-26-0400__CAM_BACK__1535659488537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-52-26-0400__CAM_BACK_LEFT__1535659488547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_BACK_RIGHT__1535659488528113.jpg"
    }
  },
  {
    "scene_token": "643ee37539844cb2b0453fd031a3afdd",
    "frame_token": "12a0559497ae4592b3e061a591f7c35e",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c3,CAM_BACK,0.5573,0.5870> under color quantization corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "A, Explanation: The object is a black sedan that is moving straight ahead.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-52-26-0400__CAM_FRONT__1535659488512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_LEFT__1535659488504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_RIGHT__1535659488520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-52-26-0400__CAM_BACK__1535659488537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-52-26-0400__CAM_BACK_LEFT__1535659488547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_BACK_RIGHT__1535659488528113.jpg"
    }
  },
  {
    "scene_token": "643ee37539844cb2b0453fd031a3afdd",
    "frame_token": "12a0559497ae4592b3e061a591f7c35e",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.1380,0.6037> a traffic sign or a road barrier under color quantization corruption?",
    "answer": "No, Explanation: The object is a black sedan, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-52-26-0400__CAM_FRONT__1535659488512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_LEFT__1535659488504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_RIGHT__1535659488520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-52-26-0400__CAM_BACK__1535659488537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-52-26-0400__CAM_BACK_LEFT__1535659488547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_BACK_RIGHT__1535659488528113.jpg"
    }
  },
  {
    "scene_token": "643ee37539844cb2b0453fd031a3afdd",
    "frame_token": "12a0559497ae4592b3e061a591f7c35e",
    "question_type": "robust_qas",
    "question": "In this scenario under color quantization corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, slightly offset to the left, and slightly offset to the right.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-52-26-0400__CAM_FRONT__1535659488512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_LEFT__1535659488504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_RIGHT__1535659488520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-52-26-0400__CAM_BACK__1535659488537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-52-26-0400__CAM_BACK_LEFT__1535659488547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_BACK_RIGHT__1535659488528113.jpg"
    }
  },
  {
    "scene_token": "643ee37539844cb2b0453fd031a3afdd",
    "frame_token": "12a0559497ae4592b3e061a591f7c35e",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.1380,0.6037> under color quantization corruption?",
    "answer": "No action taken by the ego vehicle will lead to a collision with <c1,CAM_FRONT,0.1380,0.6037>.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-52-26-0400__CAM_FRONT__1535659488512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_LEFT__1535659488504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_RIGHT__1535659488520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-52-26-0400__CAM_BACK__1535659488537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-52-26-0400__CAM_BACK_LEFT__1535659488547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_BACK_RIGHT__1535659488528113.jpg"
    }
  },
  {
    "scene_token": "643ee37539844cb2b0453fd031a3afdd",
    "frame_token": "12a0559497ae4592b3e061a591f7c35e",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by color quantization, which reduces the color detail, making it challenging to distinguish objects. A black sedan is stationary in front of the ego vehicle at coordinates <c1,CAM_FRONT,0.1380,0.6037>. To the back right, a gray SUV is stationary at <c2,CAM_BACK_RIGHT,0.7531,0.7056>. Behind the ego vehicle, a black sedan is moving at <c3,CAM_BACK,0.5573,0.5870>. A white truck is stationary in front at <c4,CAM_FRONT,0.6964,0.4991>, and a gray sedan is stationary to the back left at <c5,CAM_BACK_LEFT,0.2594,0.6824>. The environment is urban with buildings and trees visible, but details are obscured by the color quantization effect.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-52-26-0400__CAM_FRONT__1535659488512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_LEFT__1535659488504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_RIGHT__1535659488520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-52-26-0400__CAM_BACK__1535659488537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-52-26-0400__CAM_BACK_LEFT__1535659488547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_BACK_RIGHT__1535659488528113.jpg"
    }
  },
  {
    "scene_token": "d0b2d916178a402a842c88f394d7d7e8",
    "frame_token": "f1999ab870cc478db4a5bba7787564e7",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Zoom blur. C. Bit error. D. Fog",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-17-13-57+0800__CAM_FRONT__1533115026012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-17-13-57+0800__CAM_FRONT_LEFT__1533115026004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-17-13-57+0800__CAM_FRONT_RIGHT__1533115026020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-17-13-57+0800__CAM_BACK__1533115026037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-17-13-57+0800__CAM_BACK_LEFT__1533115026047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-17-13-57+0800__CAM_BACK_RIGHT__1533115026027893.jpg"
    }
  },
  {
    "scene_token": "d0b2d916178a402a842c88f394d7d7e8",
    "frame_token": "f1999ab870cc478db4a5bba7787564e7",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under color quantization corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a pedestrian riding a motorcycle to the back left of the ego vehicle, a black sedan to the back of the ego vehicle, a no entry to the back left of the ego vehicle, and a go straight and turn left to the front right of the ego vehicle. The IDs of these objects are <c1,CAM_BACK_LEFT,0.7995,0.5463>, <c2,CAM_BACK,0.6000,0.6120>, <c3,CAM_BACK_LEFT,0.7406,0.5169>, and <c4,CAM_FRONT_RIGHT,0.5033,0.6594>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-17-13-57+0800__CAM_FRONT__1533115026012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-17-13-57+0800__CAM_FRONT_LEFT__1533115026004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-17-13-57+0800__CAM_FRONT_RIGHT__1533115026020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-17-13-57+0800__CAM_BACK__1533115026037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-17-13-57+0800__CAM_BACK_LEFT__1533115026047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-17-13-57+0800__CAM_BACK_RIGHT__1533115026027893.jpg"
    }
  },
  {
    "scene_token": "d0b2d916178a402a842c88f394d7d7e8",
    "frame_token": "f1999ab870cc478db4a5bba7787564e7",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK_LEFT,0.7995,0.5463> under color quantization corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "A, Explanation: The object is a pedestrian riding a motorcycle, and despite the color quantization corruption, it is still moving ahead.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-17-13-57+0800__CAM_FRONT__1533115026012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-17-13-57+0800__CAM_FRONT_LEFT__1533115026004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-17-13-57+0800__CAM_FRONT_RIGHT__1533115026020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-17-13-57+0800__CAM_BACK__1533115026037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-17-13-57+0800__CAM_BACK_LEFT__1533115026047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-17-13-57+0800__CAM_BACK_RIGHT__1533115026027893.jpg"
    }
  },
  {
    "scene_token": "d0b2d916178a402a842c88f394d7d7e8",
    "frame_token": "f1999ab870cc478db4a5bba7787564e7",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK_LEFT,0.7995,0.5463> a traffic sign or a road barrier under color quantization corruption?",
    "answer": "No, Explanation: The object is a pedestrian riding a motorcycle, not a traffic sign or road barrier, even under color quantization corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-17-13-57+0800__CAM_FRONT__1533115026012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-17-13-57+0800__CAM_FRONT_LEFT__1533115026004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-17-13-57+0800__CAM_FRONT_RIGHT__1533115026020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-17-13-57+0800__CAM_BACK__1533115026037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-17-13-57+0800__CAM_BACK_LEFT__1533115026047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-17-13-57+0800__CAM_BACK_RIGHT__1533115026027893.jpg"
    }
  },
  {
    "scene_token": "d0b2d916178a402a842c88f394d7d7e8",
    "frame_token": "f1999ab870cc478db4a5bba7787564e7",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK_LEFT,0.7995,0.5463> under color quantization corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed; the reason is that there is no safety issue, high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-17-13-57+0800__CAM_FRONT__1533115026012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-17-13-57+0800__CAM_FRONT_LEFT__1533115026004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-17-13-57+0800__CAM_FRONT_RIGHT__1533115026020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-17-13-57+0800__CAM_BACK__1533115026037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-17-13-57+0800__CAM_BACK_LEFT__1533115026047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-17-13-57+0800__CAM_BACK_RIGHT__1533115026027893.jpg"
    }
  },
  {
    "scene_token": "d0b2d916178a402a842c88f394d7d7e8",
    "frame_token": "f1999ab870cc478db4a5bba7787564e7",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK_LEFT,0.7995,0.5463> under color quantization corruption?",
    "answer": "No such action will lead to a collision.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-17-13-57+0800__CAM_FRONT__1533115026012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-17-13-57+0800__CAM_FRONT_LEFT__1533115026004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-17-13-57+0800__CAM_FRONT_RIGHT__1533115026020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-17-13-57+0800__CAM_BACK__1533115026037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-17-13-57+0800__CAM_BACK_LEFT__1533115026047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-17-13-57+0800__CAM_BACK_RIGHT__1533115026027893.jpg"
    }
  },
  {
    "scene_token": "d0b2d916178a402a842c88f394d7d7e8",
    "frame_token": "f1999ab870cc478db4a5bba7787564e7",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by color quantization, causing reduced color detail and contrast. Key objects include a pedestrian riding a motorcycle at coordinates <c1,CAM_BACK_LEFT,0.7995,0.5463>, a stationary black sedan at <c2,CAM_BACK,0.6000,0.6120>, a 'no entry' sign at <c3,CAM_BACK_LEFT,0.7406,0.5169>, and a 'go straight and turn left' sign at <c4,CAM_FRONT_RIGHT,0.5033,0.6594>. Despite the visual distortion, these objects remain identifiable, though their visibility is compromised.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-17-13-57+0800__CAM_FRONT__1533115026012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-17-13-57+0800__CAM_FRONT_LEFT__1533115026004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-17-13-57+0800__CAM_FRONT_RIGHT__1533115026020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-17-13-57+0800__CAM_BACK__1533115026037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-17-13-57+0800__CAM_BACK_LEFT__1533115026047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-17-13-57+0800__CAM_BACK_RIGHT__1533115026027893.jpg"
    }
  },
  {
    "scene_token": "2bd47eabb64d4499862388cec180a7d1",
    "frame_token": "7d9df87d81e6443489a1e1c783f0fdaa",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Sensor failure. B. Fog. C. Color quant. D. Bright",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-13-40-50-0400__CAM_FRONT__1535478858112404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_LEFT__1535478858104799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_RIGHT__1535478858120482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-13-40-50-0400__CAM_BACK__1535478858137558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-13-40-50-0400__CAM_BACK_LEFT__1535478858147405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_BACK_RIGHT__1535478858128113.jpg"
    }
  },
  {
    "scene_token": "2bd47eabb64d4499862388cec180a7d1",
    "frame_token": "7d9df87d81e6443489a1e1c783f0fdaa",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_BACK,0.5239,0.5981> under colorquant conditions? Please select the correct answer from the following options: A. Going ahead. B. Turn right. C. Turn left.",
    "answer": "A, Explanation: The object is a black car moving ahead, and the colorquant condition does not affect its trajectory.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-13-40-50-0400__CAM_FRONT__1535478858112404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_LEFT__1535478858104799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_RIGHT__1535478858120482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-13-40-50-0400__CAM_BACK__1535478858137558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-13-40-50-0400__CAM_BACK_LEFT__1535478858147405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_BACK_RIGHT__1535478858128113.jpg"
    }
  },
  {
    "scene_token": "2bd47eabb64d4499862388cec180a7d1",
    "frame_token": "7d9df87d81e6443489a1e1c783f0fdaa",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant conditions? Those objects will be considered for future reasoning and driving decisions.",
    "answer": "There is a black car to the front left of the ego vehicle, a black car to the back of the ego vehicle, and a black SUV to the front left of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_LEFT,0.1766,0.6287>, <c2,CAM_BACK,0.5239,0.5981>, and <c3,CAM_FRONT_LEFT,0.6844,0.6491>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-13-40-50-0400__CAM_FRONT__1535478858112404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_LEFT__1535478858104799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_RIGHT__1535478858120482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-13-40-50-0400__CAM_BACK__1535478858137558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-13-40-50-0400__CAM_BACK_LEFT__1535478858147405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_BACK_RIGHT__1535478858128113.jpg"
    }
  },
  {
    "scene_token": "2bd47eabb64d4499862388cec180a7d1",
    "frame_token": "7d9df87d81e6443489a1e1c783f0fdaa",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_LEFT,0.1766,0.6287> a traffic sign or a road barrier under colorquant conditions?",
    "answer": "No, Explanation: The object is a stationary black car, not a traffic sign or road barrier, even under colorquant conditions.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-13-40-50-0400__CAM_FRONT__1535478858112404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_LEFT__1535478858104799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_RIGHT__1535478858120482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-13-40-50-0400__CAM_BACK__1535478858137558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-13-40-50-0400__CAM_BACK_LEFT__1535478858147405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_BACK_RIGHT__1535478858128113.jpg"
    }
  },
  {
    "scene_token": "2bd47eabb64d4499862388cec180a7d1",
    "frame_token": "7d9df87d81e6443489a1e1c783f0fdaa",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when approaching the next location under colorquant conditions? What is the state of the object first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when approaching the next location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice the black SUV at the left camera. The object is going ahead, so the ego vehicle should keep going ahead at the same speed. Secondly, notice the black car at the left camera. The object is stationary, so the ego vehicle should keep going ahead at the same speed. Thirdly, notice the black car at the back camera. The object is going ahead, so the ego vehicle should keep going ahead at the same speed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-13-40-50-0400__CAM_FRONT__1535478858112404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_LEFT__1535478858104799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_RIGHT__1535478858120482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-13-40-50-0400__CAM_BACK__1535478858137558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-13-40-50-0400__CAM_BACK_LEFT__1535478858147405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_BACK_RIGHT__1535478858128113.jpg"
    }
  },
  {
    "scene_token": "2bd47eabb64d4499862388cec180a7d1",
    "frame_token": "7d9df87d81e6443489a1e1c783f0fdaa",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT_LEFT,0.1766,0.6287> under colorquant conditions? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue, and the probability is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-13-40-50-0400__CAM_FRONT__1535478858112404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_LEFT__1535478858104799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_RIGHT__1535478858120482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-13-40-50-0400__CAM_BACK__1535478858137558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-13-40-50-0400__CAM_BACK_LEFT__1535478858147405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_BACK_RIGHT__1535478858128113.jpg"
    }
  },
  {
    "scene_token": "2bd47eabb64d4499862388cec180a7d1",
    "frame_token": "7d9df87d81e6443489a1e1c783f0fdaa",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT_LEFT,0.1766,0.6287> under colorquant conditions?",
    "answer": "Moderate left turn.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-13-40-50-0400__CAM_FRONT__1535478858112404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_LEFT__1535478858104799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_RIGHT__1535478858120482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-13-40-50-0400__CAM_BACK__1535478858137558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-13-40-50-0400__CAM_BACK_LEFT__1535478858147405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_BACK_RIGHT__1535478858128113.jpg"
    }
  },
  {
    "scene_token": "2bd47eabb64d4499862388cec180a7d1",
    "frame_token": "7d9df87d81e6443489a1e1c783f0fdaa",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant conditions. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant conditions, which alter the color representation of the scene. Despite this, key objects are identifiable: a stationary black car is located at the front left (coordinates <c1,CAM_FRONT_LEFT,0.1766,0.6287>), a moving black car is at the back (coordinates <c2,CAM_BACK,0.5239,0.5981>), and a moving black SUV is also at the front left (coordinates <c3,CAM_FRONT_LEFT,0.6844,0.6491>). The road appears less distinct due to color quantization, but the general layout remains discernible.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-13-40-50-0400__CAM_FRONT__1535478858112404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_LEFT__1535478858104799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_RIGHT__1535478858120482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-13-40-50-0400__CAM_BACK__1535478858137558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-13-40-50-0400__CAM_BACK_LEFT__1535478858147405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_BACK_RIGHT__1535478858128113.jpg"
    }
  },
  {
    "scene_token": "bc219c0fa63b43b4b9dddab47fce1fef",
    "frame_token": "c434770831e9478d8ae23aa713c0b84b",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Bit error. B. Snow. C. Motion blur. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-18-34+0800__CAM_FRONT__1531884275612462.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_LEFT__1531884275604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_RIGHT__1531884275620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-18-34+0800__CAM_BACK__1531884275637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-18-34+0800__CAM_BACK_LEFT__1531884275647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_BACK_RIGHT__1531884275627893.jpg"
    }
  },
  {
    "scene_token": "bc219c0fa63b43b4b9dddab47fce1fef",
    "frame_token": "c434770831e9478d8ae23aa713c0b84b",
    "question_type": "robust_qas",
    "question": "Considering the colorquant corruption, what is the moving status of object <c1,CAM_FRONT,0.9625,0.6436>? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "A, Explanation: The object is a pedestrian moving ahead, unaffected by the colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-18-34+0800__CAM_FRONT__1531884275612462.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_LEFT__1531884275604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_RIGHT__1531884275620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-18-34+0800__CAM_BACK__1531884275637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-18-34+0800__CAM_BACK_LEFT__1531884275647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_BACK_RIGHT__1531884275627893.jpg"
    }
  },
  {
    "scene_token": "bc219c0fa63b43b4b9dddab47fce1fef",
    "frame_token": "c434770831e9478d8ae23aa713c0b84b",
    "question_type": "robust_qas",
    "question": "Under the colorquant corruption, what are the important objects in the current scene? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a person wearing a white shirt to the front of the ego vehicle, a white truck to the front of the ego vehicle, a person wearing a white shirt to the front of the ego vehicle, and a person wearing a skirt to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.9625,0.6436>, <c2,CAM_FRONT,0.5776,0.5361>, <c3,CAM_FRONT,0.4594,0.5519>, and <c4,CAM_FRONT,0.2547,0.5842>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-18-34+0800__CAM_FRONT__1531884275612462.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_LEFT__1531884275604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_RIGHT__1531884275620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-18-34+0800__CAM_BACK__1531884275637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-18-34+0800__CAM_BACK_LEFT__1531884275647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_BACK_RIGHT__1531884275627893.jpg"
    }
  },
  {
    "scene_token": "bc219c0fa63b43b4b9dddab47fce1fef",
    "frame_token": "c434770831e9478d8ae23aa713c0b84b",
    "question_type": "robust_qas",
    "question": "With the colorquant corruption, is <c1,CAM_FRONT,0.9625,0.6436> a traffic sign or a road barrier?",
    "answer": "No, Explanation: The object is a pedestrian, not a traffic sign or road barrier, despite the colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-18-34+0800__CAM_FRONT__1531884275612462.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_LEFT__1531884275604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_RIGHT__1531884275620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-18-34+0800__CAM_BACK__1531884275637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-18-34+0800__CAM_BACK_LEFT__1531884275647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_BACK_RIGHT__1531884275627893.jpg"
    }
  },
  {
    "scene_token": "bc219c0fa63b43b4b9dddab47fce1fef",
    "frame_token": "c434770831e9478d8ae23aa713c0b84b",
    "question_type": "robust_qas",
    "question": "Considering the colorquant corruption, what actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.9625,0.6436>?",
    "answer": "Slight right turn.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-18-34+0800__CAM_FRONT__1531884275612462.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_LEFT__1531884275604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_RIGHT__1531884275620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-18-34+0800__CAM_BACK__1531884275637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-18-34+0800__CAM_BACK_LEFT__1531884275647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_BACK_RIGHT__1531884275627893.jpg"
    }
  },
  {
    "scene_token": "bc219c0fa63b43b4b9dddab47fce1fef",
    "frame_token": "c434770831e9478d8ae23aa713c0b84b",
    "question_type": "robust_qas",
    "question": "In this scenario with colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, decelerate gradually without braking, brake gently to a stop, brake suddenly, slightly offset to the right, back up, or slightly offset to the left.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-18-34+0800__CAM_FRONT__1531884275612462.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_LEFT__1531884275604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_RIGHT__1531884275620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-18-34+0800__CAM_BACK__1531884275637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-18-34+0800__CAM_BACK_LEFT__1531884275647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_BACK_RIGHT__1531884275627893.jpg"
    }
  },
  {
    "scene_token": "bc219c0fa63b43b4b9dddab47fce1fef",
    "frame_token": "c434770831e9478d8ae23aa713c0b84b",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which alters the color representation, making it challenging to distinguish objects based on color. Despite this, key objects are identifiable by their shapes and positions. A pedestrian wearing a white shirt is moving at coordinates <c1,CAM_FRONT,0.9625,0.6436>. A stationary white truck is located at <c2,CAM_FRONT,0.5776,0.5361>. Another pedestrian wearing a white shirt is moving at <c3,CAM_FRONT,0.4594,0.5519>, and a person wearing a skirt is moving at <c4,CAM_FRONT,0.2547,0.5842>. The environment includes urban elements like buildings and roads, with the colorquant effect making the scene appear visually distorted.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-18-34+0800__CAM_FRONT__1531884275612462.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_LEFT__1531884275604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_RIGHT__1531884275620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-18-34+0800__CAM_BACK__1531884275637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-18-34+0800__CAM_BACK_LEFT__1531884275647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_BACK_RIGHT__1531884275627893.jpg"
    }
  },
  {
    "scene_token": "bc219c0fa63b43b4b9dddab47fce1fef",
    "frame_token": "519b85741bad4cb0b8c1164ac46fec6e",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. H256 ABR compression. B. Saturate. C. Color quant. D. JPEG compression",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-18-34+0800__CAM_FRONT__1531884264762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_LEFT__1531884264754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_RIGHT__1531884264770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-18-34+0800__CAM_BACK__1531884264787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-18-34+0800__CAM_BACK_LEFT__1531884264797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_BACK_RIGHT__1531884264777893.jpg"
    }
  },
  {
    "scene_token": "bc219c0fa63b43b4b9dddab47fce1fef",
    "frame_token": "519b85741bad4cb0b8c1164ac46fec6e",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT_RIGHT,0.4302,0.6556> under color quantization corruption? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "B, Explanation: The object is a brown SUV moving ahead, and the color quantization does not affect its movement direction.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-18-34+0800__CAM_FRONT__1531884264762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_LEFT__1531884264754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_RIGHT__1531884264770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-18-34+0800__CAM_BACK__1531884264787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-18-34+0800__CAM_BACK_LEFT__1531884264797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_BACK_RIGHT__1531884264777893.jpg"
    }
  },
  {
    "scene_token": "bc219c0fa63b43b4b9dddab47fce1fef",
    "frame_token": "519b85741bad4cb0b8c1164ac46fec6e",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under color quantization corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a brown SUV to the front right of the ego vehicle, a checkered shirt pedestrian to the front of the ego vehicle, a blue shirt and pedestrians to the front left of the ego vehicle, a man in a gray shirt to the front of the ego vehicle, and a grey van to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_RIGHT,0.4302,0.6556>, <c2,CAM_FRONT,0.2864,0.6389>, <c3,CAM_FRONT_LEFT,0.2542,0.3694>, <c4,CAM_FRONT,0.8531,0.6287>, and <c5,CAM_FRONT,0.6099,0.5991>. The color quantization may affect visual clarity but not the identification of these objects.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-18-34+0800__CAM_FRONT__1531884264762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_LEFT__1531884264754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_RIGHT__1531884264770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-18-34+0800__CAM_BACK__1531884264787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-18-34+0800__CAM_BACK_LEFT__1531884264797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_BACK_RIGHT__1531884264777893.jpg"
    }
  },
  {
    "scene_token": "bc219c0fa63b43b4b9dddab47fce1fef",
    "frame_token": "519b85741bad4cb0b8c1164ac46fec6e",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_RIGHT,0.4302,0.6556> a traffic sign or a road barrier under color quantization corruption?",
    "answer": "No, Explanation: The object is a brown SUV, not a traffic sign or road barrier, and the color quantization does not change its category.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-18-34+0800__CAM_FRONT__1531884264762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_LEFT__1531884264754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_RIGHT__1531884264770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-18-34+0800__CAM_BACK__1531884264787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-18-34+0800__CAM_BACK_LEFT__1531884264797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_BACK_RIGHT__1531884264777893.jpg"
    }
  },
  {
    "scene_token": "bc219c0fa63b43b4b9dddab47fce1fef",
    "frame_token": "519b85741bad4cb0b8c1164ac46fec6e",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT_RIGHT,0.4302,0.6556> under color quantization corruption?",
    "answer": "Moderate right turn. The color quantization does not affect the spatial relationship between the ego vehicle and the brown SUV.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-18-34+0800__CAM_FRONT__1531884264762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_LEFT__1531884264754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_RIGHT__1531884264770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-18-34+0800__CAM_BACK__1531884264787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-18-34+0800__CAM_BACK_LEFT__1531884264797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_BACK_RIGHT__1531884264777893.jpg"
    }
  },
  {
    "scene_token": "bc219c0fa63b43b4b9dddab47fce1fef",
    "frame_token": "519b85741bad4cb0b8c1164ac46fec6e",
    "question_type": "robust_qas",
    "question": "In this scenario under color quantization corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed. The color quantization does not affect the safety of maintaining the current speed.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-18-34+0800__CAM_FRONT__1531884264762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_LEFT__1531884264754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_RIGHT__1531884264770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-18-34+0800__CAM_BACK__1531884264787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-18-34+0800__CAM_BACK_LEFT__1531884264797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_BACK_RIGHT__1531884264777893.jpg"
    }
  },
  {
    "scene_token": "bc219c0fa63b43b4b9dddab47fce1fef",
    "frame_token": "519b85741bad4cb0b8c1164ac46fec6e",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by color quantization, which reduces color details and may obscure some visual features. A brown SUV is moving to the front right of the ego vehicle at coordinates (0.4302, 0.6556). A pedestrian in a checkered shirt is moving in front of the ego vehicle at coordinates (0.2864, 0.6389). To the front left, a group of pedestrians including one in a blue shirt is moving at coordinates (0.2542, 0.3694). A man in a gray shirt is stationary in front of the ego vehicle at coordinates (0.8531, 0.6287). A grey van is moving in front of the ego vehicle at coordinates (0.6099, 0.5991). Despite the color quantization, the positions and movements of these objects are discernible.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-18-34+0800__CAM_FRONT__1531884264762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_LEFT__1531884264754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_RIGHT__1531884264770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-18-34+0800__CAM_BACK__1531884264787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-18-34+0800__CAM_BACK_LEFT__1531884264797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_BACK_RIGHT__1531884264777893.jpg"
    }
  },
  {
    "scene_token": "670e01eb31b64b509db5290531254203",
    "frame_token": "6f7920553fa1441fb52daf651a72c4da",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Dark. B. Color quant. C. Bright. D. Motion blur",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-26-12-13-50-0400__CAM_FRONT__1532621757662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_LEFT__1532621757654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_RIGHT__1532621757670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-26-12-13-50-0400__CAM_BACK__1532621757687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-26-12-13-50-0400__CAM_BACK_LEFT__1532621757697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_BACK_RIGHT__1532621757678113.jpg"
    }
  },
  {
    "scene_token": "670e01eb31b64b509db5290531254203",
    "frame_token": "6f7920553fa1441fb52daf651a72c4da",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.5563,0.5564> under colorquant conditions? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "B, Explanation: The object is a black car moving ahead, and the colorquant condition does not change its status.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-26-12-13-50-0400__CAM_FRONT__1532621757662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_LEFT__1532621757654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_RIGHT__1532621757670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-26-12-13-50-0400__CAM_BACK__1532621757687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-26-12-13-50-0400__CAM_BACK_LEFT__1532621757697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_BACK_RIGHT__1532621757678113.jpg"
    }
  },
  {
    "scene_token": "670e01eb31b64b509db5290531254203",
    "frame_token": "6f7920553fa1441fb52daf651a72c4da",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant conditions? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black car to the back of the ego vehicle, a green container to the front of the ego vehicle, and a black sedan to the front right of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.5563,0.5564>, <c2,CAM_FRONT,0.5547,0.5231>, and <c3,CAM_FRONT_RIGHT,0.8600,0.7254>. The colorquant condition does not affect their identification.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-26-12-13-50-0400__CAM_FRONT__1532621757662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_LEFT__1532621757654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_RIGHT__1532621757670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-26-12-13-50-0400__CAM_BACK__1532621757687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-26-12-13-50-0400__CAM_BACK_LEFT__1532621757697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_BACK_RIGHT__1532621757678113.jpg"
    }
  },
  {
    "scene_token": "670e01eb31b64b509db5290531254203",
    "frame_token": "6f7920553fa1441fb52daf651a72c4da",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant conditions? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly notice that green container at front camera. The object is stationary, so the ego vehicle should slightly offset to the left in maneuvering. Secondly notice that black sedan at right camera. The object is stationary, so the ego vehicle should keep going ahead at the same speed. Thirdly notice that black car at back camera. The object is going ahead, so the ego vehicle should keep going ahead at the same speed. The colorquant condition does not alter the sequence or actions.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-26-12-13-50-0400__CAM_FRONT__1532621757662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_LEFT__1532621757654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_RIGHT__1532621757670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-26-12-13-50-0400__CAM_BACK__1532621757687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-26-12-13-50-0400__CAM_BACK_LEFT__1532621757697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_BACK_RIGHT__1532621757678113.jpg"
    }
  },
  {
    "scene_token": "670e01eb31b64b509db5290531254203",
    "frame_token": "6f7920553fa1441fb52daf651a72c4da",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.5563,0.5564> a traffic sign or a road barrier under colorquant conditions?",
    "answer": "No, Explanation: The object is a black car, not a traffic sign or road barrier, and the colorquant condition does not change this.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-26-12-13-50-0400__CAM_FRONT__1532621757662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_LEFT__1532621757654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_RIGHT__1532621757670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-26-12-13-50-0400__CAM_BACK__1532621757687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-26-12-13-50-0400__CAM_BACK_LEFT__1532621757697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_BACK_RIGHT__1532621757678113.jpg"
    }
  },
  {
    "scene_token": "670e01eb31b64b509db5290531254203",
    "frame_token": "6f7920553fa1441fb52daf651a72c4da",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK,0.5563,0.5564> under colorquant conditions? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue. The probability is high. The colorquant condition does not affect this decision.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-26-12-13-50-0400__CAM_FRONT__1532621757662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_LEFT__1532621757654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_RIGHT__1532621757670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-26-12-13-50-0400__CAM_BACK__1532621757687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-26-12-13-50-0400__CAM_BACK_LEFT__1532621757697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_BACK_RIGHT__1532621757678113.jpg"
    }
  },
  {
    "scene_token": "670e01eb31b64b509db5290531254203",
    "frame_token": "6f7920553fa1441fb52daf651a72c4da",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant conditions, what are safe actions to take for the ego vehicle?",
    "answer": "Slightly offset to the left, change to the left lane, and turn left. The colorquant condition does not change the safety of these actions.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-26-12-13-50-0400__CAM_FRONT__1532621757662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_LEFT__1532621757654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_RIGHT__1532621757670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-26-12-13-50-0400__CAM_BACK__1532621757687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-26-12-13-50-0400__CAM_BACK_LEFT__1532621757697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_BACK_RIGHT__1532621757678113.jpg"
    }
  },
  {
    "scene_token": "670e01eb31b64b509db5290531254203",
    "frame_token": "6f7920553fa1441fb52daf651a72c4da",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant conditions. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant conditions, which reduce the color depth and contrast, making it challenging to distinguish between objects. Key objects include a black car moving behind the ego vehicle at coordinates <c1,CAM_BACK,0.5563,0.5564>, a stationary green container in front at <c2,CAM_FRONT,0.5547,0.5231>, and a stationary black sedan to the front right at <c3,CAM_FRONT_RIGHT,0.8600,0.7254>. Despite the colorquant effect, these objects remain identifiable by their shapes and positions.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-26-12-13-50-0400__CAM_FRONT__1532621757662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_LEFT__1532621757654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_RIGHT__1532621757670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-26-12-13-50-0400__CAM_BACK__1532621757687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-26-12-13-50-0400__CAM_BACK_LEFT__1532621757697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_BACK_RIGHT__1532621757678113.jpg"
    }
  },
  {
    "scene_token": "400b708de5d7434d8964da4a0246d164",
    "frame_token": "0a8499ecf7b140a180dfdf7e26ddf47b",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Zoom blur. B. Saturate. C. Color quant. D. Bit error",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800469862460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800469854844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800469870339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800469887525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800469897423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800469877893.jpg"
    }
  },
  {
    "scene_token": "400b708de5d7434d8964da4a0246d164",
    "frame_token": "0a8499ecf7b140a180dfdf7e26ddf47b",
    "question_type": "robust_qas",
    "question": "Considering the colorquant corruption, what are the important objects in the current scene? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a silver sedan to the front of the ego vehicle, an unclear object to the front of the ego vehicle, a black sedan to the front of the ego vehicle, and a street lamp to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.4137,0.6890>, <c2,CAM_FRONT,0.3552,0.5408>, <c3,CAM_FRONT,0.2026,0.5658>, and <c4,CAM_FRONT,0.1618,0.4211>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800469862460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800469854844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800469870339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800469887525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800469897423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800469877893.jpg"
    }
  },
  {
    "scene_token": "400b708de5d7434d8964da4a0246d164",
    "frame_token": "0a8499ecf7b140a180dfdf7e26ddf47b",
    "question_type": "robust_qas",
    "question": "With the colorquant corruption, what is the moving status of object <c3,CAM_FRONT,0.2026,0.5658>? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "B, Explanation: The object is a black sedan and it is moving straight ahead.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800469862460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800469854844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800469870339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800469887525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800469897423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800469877893.jpg"
    }
  },
  {
    "scene_token": "400b708de5d7434d8964da4a0246d164",
    "frame_token": "0a8499ecf7b140a180dfdf7e26ddf47b",
    "question_type": "robust_qas",
    "question": "Under the colorquant corruption, is <c1,CAM_FRONT,0.4137,0.6890> a traffic sign or a road barrier?",
    "answer": "No, Explanation: The object is a silver sedan, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800469862460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800469854844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800469870339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800469887525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800469897423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800469877893.jpg"
    }
  },
  {
    "scene_token": "400b708de5d7434d8964da4a0246d164",
    "frame_token": "0a8499ecf7b140a180dfdf7e26ddf47b",
    "question_type": "robust_qas",
    "question": "Considering the colorquant corruption, what actions could the ego vehicle take based on <c1,CAM_FRONT,0.4137,0.6890>? Why take this action and what's the probability?",
    "answer": "The action is to remain stationary because there is no safety issue. The probability of taking this action is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800469862460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800469854844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800469870339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800469887525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800469897423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800469877893.jpg"
    }
  },
  {
    "scene_token": "400b708de5d7434d8964da4a0246d164",
    "frame_token": "0a8499ecf7b140a180dfdf7e26ddf47b",
    "question_type": "robust_qas",
    "question": "Under the colorquant corruption, what actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.4137,0.6890>?",
    "answer": "Accelerating and going straight.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800469862460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800469854844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800469870339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800469887525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800469897423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800469877893.jpg"
    }
  },
  {
    "scene_token": "400b708de5d7434d8964da4a0246d164",
    "frame_token": "0a8499ecf7b140a180dfdf7e26ddf47b",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is heavily affected by colorquant corruption, making it difficult to distinguish details. A silver sedan is stationary in front of the ego vehicle at coordinates <c1,CAM_FRONT,0.4137,0.6890>. An unclear object is also present in front at <c2,CAM_FRONT,0.3552,0.5408>. A black sedan is moving ahead at <c3,CAM_FRONT,0.2026,0.5658>. Additionally, a street lamp is visible at <c4,CAM_FRONT,0.1618,0.4211>. The overall visibility is reduced, affecting perception and decision-making.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800469862460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800469854844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800469870339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800469887525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800469897423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800469877893.jpg"
    }
  },
  {
    "scene_token": "4ed628299b1e45a3a73704e8cf8287a9",
    "frame_token": "c16bf051f78942748a4c96e93a3c6b6d",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Motion blur. B. Color quant. C. Rain. D. Bright",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-11-29+0800__CAM_FRONT__1542798960412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-11-29+0800__CAM_FRONT_LEFT__1542798960404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-11-29+0800__CAM_FRONT_RIGHT__1542798960420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-11-29+0800__CAM_BACK__1542798960437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-11-29+0800__CAM_BACK_LEFT__1542798960447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-11-29+0800__CAM_BACK_RIGHT__1542798960427893.jpg"
    }
  },
  {
    "scene_token": "4ed628299b1e45a3a73704e8cf8287a9",
    "frame_token": "c16bf051f78942748a4c96e93a3c6b6d",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black SUV to the back left of the ego vehicle, a white SUV to the front left of the ego vehicle, a white SUV to the back of the ego vehicle, a white sedan to the back right of the ego vehicle, and a silver sedan to the front of the ego vehicle. The IDs of these objects are <c1,CAM_BACK_LEFT,0.2068,0.6028>, <c2,CAM_FRONT_LEFT,0.1901,0.6269>, <c3,CAM_BACK,0.2380,0.6694>, <c4,CAM_BACK_RIGHT,0.4933,0.7528>, and <c5,CAM_FRONT,0.6511,0.5917>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-11-29+0800__CAM_FRONT__1542798960412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-11-29+0800__CAM_FRONT_LEFT__1542798960404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-11-29+0800__CAM_FRONT_RIGHT__1542798960420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-11-29+0800__CAM_BACK__1542798960437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-11-29+0800__CAM_BACK_LEFT__1542798960447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-11-29+0800__CAM_BACK_RIGHT__1542798960427893.jpg"
    }
  },
  {
    "scene_token": "4ed628299b1e45a3a73704e8cf8287a9",
    "frame_token": "c16bf051f78942748a4c96e93a3c6b6d",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c5,CAM_FRONT,0.6511,0.5917> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn right. C. Turn left.",
    "answer": "A, Explanation: the object is a silver sedan moving ahead.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-11-29+0800__CAM_FRONT__1542798960412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-11-29+0800__CAM_FRONT_LEFT__1542798960404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-11-29+0800__CAM_FRONT_RIGHT__1542798960420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-11-29+0800__CAM_BACK__1542798960437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-11-29+0800__CAM_BACK_LEFT__1542798960447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-11-29+0800__CAM_BACK_RIGHT__1542798960427893.jpg"
    }
  },
  {
    "scene_token": "4ed628299b1e45a3a73704e8cf8287a9",
    "frame_token": "c16bf051f78942748a4c96e93a3c6b6d",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK_LEFT,0.2068,0.6028> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: the object is a black SUV, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-11-29+0800__CAM_FRONT__1542798960412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-11-29+0800__CAM_FRONT_LEFT__1542798960404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-11-29+0800__CAM_FRONT_RIGHT__1542798960420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-11-29+0800__CAM_BACK__1542798960437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-11-29+0800__CAM_BACK_LEFT__1542798960447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-11-29+0800__CAM_BACK_RIGHT__1542798960427893.jpg"
    }
  },
  {
    "scene_token": "4ed628299b1e45a3a73704e8cf8287a9",
    "frame_token": "c16bf051f78942748a4c96e93a3c6b6d",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Brake gently to a stop or decelerate gradually without braking to ensure safety for the ego vehicle.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-11-29+0800__CAM_FRONT__1542798960412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-11-29+0800__CAM_FRONT_LEFT__1542798960404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-11-29+0800__CAM_FRONT_RIGHT__1542798960420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-11-29+0800__CAM_BACK__1542798960437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-11-29+0800__CAM_BACK_LEFT__1542798960447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-11-29+0800__CAM_BACK_RIGHT__1542798960427893.jpg"
    }
  },
  {
    "scene_token": "4ed628299b1e45a3a73704e8cf8287a9",
    "frame_token": "c16bf051f78942748a4c96e93a3c6b6d",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c2,CAM_FRONT_LEFT,0.1901,0.6269> under colorquant corruption?",
    "answer": "No such action will lead to a collision.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-11-29+0800__CAM_FRONT__1542798960412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-11-29+0800__CAM_FRONT_LEFT__1542798960404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-11-29+0800__CAM_FRONT_RIGHT__1542798960420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-11-29+0800__CAM_BACK__1542798960437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-11-29+0800__CAM_BACK_LEFT__1542798960447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-11-29+0800__CAM_BACK_RIGHT__1542798960427893.jpg"
    }
  },
  {
    "scene_token": "4ed628299b1e45a3a73704e8cf8287a9",
    "frame_token": "c16bf051f78942748a4c96e93a3c6b6d",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is heavily affected by colorquant corruption, making it challenging to discern details. A black SUV is stationary at the back left (0.2068, 0.6028), while a white SUV is stationary at the front left (0.1901, 0.6269). Another white SUV is at the back (0.2380, 0.6694), and a white sedan is at the back right (0.4933, 0.7528). A silver sedan is moving ahead in front of the ego vehicle (0.6511, 0.5917). The overall visibility is reduced, and colors are distorted, impacting the perception of the scene.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-11-29+0800__CAM_FRONT__1542798960412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-11-29+0800__CAM_FRONT_LEFT__1542798960404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-11-29+0800__CAM_FRONT_RIGHT__1542798960420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-11-29+0800__CAM_BACK__1542798960437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-11-29+0800__CAM_BACK_LEFT__1542798960447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-11-29+0800__CAM_BACK_RIGHT__1542798960427893.jpg"
    }
  },
  {
    "scene_token": "2d8e61ea27fd419ba9b708488e3f2f10",
    "frame_token": "140567e78a864aab948471c822edd0d5",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Zoom blur. B. Color quant. C. Bit error. D. Sensor failure",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535728814912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535728814904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535728814920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535728814937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535728814947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535728814928113.jpg"
    }
  },
  {
    "scene_token": "2d8e61ea27fd419ba9b708488e3f2f10",
    "frame_token": "140567e78a864aab948471c822edd0d5",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a brown SUV to the front left of the ego vehicle, a blue pants pedestrian to the front right of the ego vehicle, a pedestrian in black pants to the front of the ego vehicle, and a white commercial vehicle to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_LEFT,0.6370,0.5797>, <c2,CAM_FRONT_RIGHT,0.6531,0.6047>, <c3,CAM_FRONT,0.5302,0.5130>, and <c4,CAM_FRONT,0.3469,0.5139>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535728814912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535728814904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535728814920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535728814937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535728814947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535728814928113.jpg"
    }
  },
  {
    "scene_token": "2d8e61ea27fd419ba9b708488e3f2f10",
    "frame_token": "140567e78a864aab948471c822edd0d5",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_FRONT_RIGHT,0.6531,0.6047> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "A, Explanation: The object is a pedestrian in blue pants, moving ahead.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535728814912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535728814904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535728814920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535728814937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535728814947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535728814928113.jpg"
    }
  },
  {
    "scene_token": "2d8e61ea27fd419ba9b708488e3f2f10",
    "frame_token": "140567e78a864aab948471c822edd0d5",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_LEFT,0.6370,0.5797> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a stationary brown SUV.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535728814912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535728814904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535728814920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535728814937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535728814947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535728814928113.jpg"
    }
  },
  {
    "scene_token": "2d8e61ea27fd419ba9b708488e3f2f10",
    "frame_token": "140567e78a864aab948471c822edd0d5",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, and brake gently to a stop.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535728814912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535728814904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535728814920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535728814937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535728814947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535728814928113.jpg"
    }
  },
  {
    "scene_token": "2d8e61ea27fd419ba9b708488e3f2f10",
    "frame_token": "140567e78a864aab948471c822edd0d5",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT_LEFT,0.6370,0.5797> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue, and the probability is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535728814912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535728814904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535728814920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535728814937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535728814947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535728814928113.jpg"
    }
  },
  {
    "scene_token": "2d8e61ea27fd419ba9b708488e3f2f10",
    "frame_token": "140567e78a864aab948471c822edd0d5",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which alters the color representation, making objects less distinct. To the front left, there is a stationary brown SUV at coordinates <c1,CAM_FRONT_LEFT,0.6370,0.5797>. A pedestrian in blue pants is moving to the front right at <c2,CAM_FRONT_RIGHT,0.6531,0.6047>. Directly ahead, a pedestrian in black pants is stationary at <c3,CAM_FRONT,0.5302,0.5130>, and a white commercial vehicle is moving at <c4,CAM_FRONT,0.3469,0.5139>. The environment appears urban with buildings and trees visible, but the color distortion affects the clarity of these elements.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535728814912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535728814904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535728814920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535728814937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535728814947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535728814928113.jpg"
    }
  },
  {
    "scene_token": "2538a745a83f430eb590d48b4743e179",
    "frame_token": "4f2c710bf33c40a19faa754ecdfc6740",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. H256 ABR compression. C. Saturate. D. Rain",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532662735912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532662735904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532662735920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532662735937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532662735947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532662735927893.jpg"
    }
  },
  {
    "scene_token": "2538a745a83f430eb590d48b4743e179",
    "frame_token": "4f2c710bf33c40a19faa754ecdfc6740",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.4616,0.6658> under colorquant conditions? Please select the correct answer from the following options: A. Going ahead. B. Turn right. C. Turn left.",
    "answer": "A, Explanation: The object is a white SUV moving ahead, and the colorquant condition does not affect its trajectory.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532662735912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532662735904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532662735920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532662735937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532662735947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532662735927893.jpg"
    }
  },
  {
    "scene_token": "2538a745a83f430eb590d48b4743e179",
    "frame_token": "4f2c710bf33c40a19faa754ecdfc6740",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant conditions? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white SUV to the back of the ego vehicle, a pedestrian wearing a black top to the front left of the ego vehicle, a white truck to the front of the ego vehicle, and a white truck to the front of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.4616,0.6658>, <c2,CAM_FRONT_LEFT,0.9451,0.6250>, <c3,CAM_FRONT,0.4698,0.5241>, and <c4,CAM_FRONT,0.8505,0.5574>. The colorquant condition does not obscure these objects.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532662735912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532662735904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532662735920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532662735937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532662735947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532662735927893.jpg"
    }
  },
  {
    "scene_token": "2538a745a83f430eb590d48b4743e179",
    "frame_token": "4f2c710bf33c40a19faa754ecdfc6740",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.4616,0.6658> a traffic sign or a road barrier under colorquant conditions?",
    "answer": "No, Explanation: The object is a white SUV, not a traffic sign or road barrier, and the colorquant condition does not change its identity.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532662735912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532662735904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532662735920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532662735937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532662735947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532662735927893.jpg"
    }
  },
  {
    "scene_token": "2538a745a83f430eb590d48b4743e179",
    "frame_token": "4f2c710bf33c40a19faa754ecdfc6740",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant conditions, what are safe actions to take for the ego vehicle?",
    "answer": "Brake gently to a stop; keep going at the same speed. The colorquant condition does not affect the safety of these actions.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532662735912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532662735904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532662735920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532662735937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532662735947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532662735927893.jpg"
    }
  },
  {
    "scene_token": "2538a745a83f430eb590d48b4743e179",
    "frame_token": "4f2c710bf33c40a19faa754ecdfc6740",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK,0.4616,0.6658> under colorquant conditions? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue, and the probability is high. The colorquant condition does not affect this decision.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532662735912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532662735904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532662735920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532662735937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532662735947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532662735927893.jpg"
    }
  },
  {
    "scene_token": "2538a745a83f430eb590d48b4743e179",
    "frame_token": "4f2c710bf33c40a19faa754ecdfc6740",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant conditions. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant, which alters the color perception of the scene. To the back of the ego vehicle, there is a white SUV moving ahead (coordinates: <c1,CAM_BACK,0.4616,0.6658>). To the front left, a pedestrian wearing a black top is moving (coordinates: <c2,CAM_FRONT_LEFT,0.9451,0.6250>). Directly in front, there are two stationary white trucks (coordinates: <c3,CAM_FRONT,0.4698,0.5241> and <c4,CAM_FRONT,0.8505,0.5574>). Despite the colorquant effect, these objects remain identifiable and their positions are clear.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532662735912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532662735904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532662735920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532662735937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532662735947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532662735927893.jpg"
    }
  },
  {
    "scene_token": "4098aaf3c7074e7d87285e2fc95369e0",
    "frame_token": "83472f9810a842ec9e0ade97077f7eea",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Saturate. B. Bright. C. H256 ABR compression. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-03-15-00-36+0800__CAM_FRONT__1533279688164387.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_LEFT__1533279688154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_RIGHT__1533279688170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-03-15-00-36+0800__CAM_BACK__1533279688187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-03-15-00-36+0800__CAM_BACK_LEFT__1533279688197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_BACK_RIGHT__1533279688177905.jpg"
    }
  },
  {
    "scene_token": "4098aaf3c7074e7d87285e2fc95369e0",
    "frame_token": "83472f9810a842ec9e0ade97077f7eea",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a red car to the front left of the ego vehicle, a white sedan to the front of the ego vehicle, a yellow sedan to the back left of the ego vehicle, and a black SUV to the back of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_LEFT,0.5931,0.7658>, <c2,CAM_FRONT,0.6386,0.5592>, <c3,CAM_BACK_LEFT,0.4156,0.7130>, and <c4,CAM_BACK,0.8932,0.6620>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-03-15-00-36+0800__CAM_FRONT__1533279688164387.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_LEFT__1533279688154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_RIGHT__1533279688170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-03-15-00-36+0800__CAM_BACK__1533279688187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-03-15-00-36+0800__CAM_BACK_LEFT__1533279688197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_BACK_RIGHT__1533279688177905.jpg"
    }
  },
  {
    "scene_token": "4098aaf3c7074e7d87285e2fc95369e0",
    "frame_token": "83472f9810a842ec9e0ade97077f7eea",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_FRONT,0.6386,0.5592> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn right. C. Turn left.",
    "answer": "A, Explanation: The object is a white sedan that is moving ahead, and its status is not affected by the colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-03-15-00-36+0800__CAM_FRONT__1533279688164387.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_LEFT__1533279688154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_RIGHT__1533279688170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-03-15-00-36+0800__CAM_BACK__1533279688187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-03-15-00-36+0800__CAM_BACK_LEFT__1533279688197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_BACK_RIGHT__1533279688177905.jpg"
    }
  },
  {
    "scene_token": "4098aaf3c7074e7d87285e2fc95369e0",
    "frame_token": "83472f9810a842ec9e0ade97077f7eea",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_LEFT,0.5931,0.7658> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a red car, not a traffic sign or road barrier, even under colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-03-15-00-36+0800__CAM_FRONT__1533279688164387.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_LEFT__1533279688154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_RIGHT__1533279688170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-03-15-00-36+0800__CAM_BACK__1533279688187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-03-15-00-36+0800__CAM_BACK_LEFT__1533279688197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_BACK_RIGHT__1533279688177905.jpg"
    }
  },
  {
    "scene_token": "4098aaf3c7074e7d87285e2fc95369e0",
    "frame_token": "83472f9810a842ec9e0ade97077f7eea",
    "question_type": "robust_qas",
    "question": "In this scenario with colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Decelerate gradually without braking and maintain the current speed.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-03-15-00-36+0800__CAM_FRONT__1533279688164387.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_LEFT__1533279688154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_RIGHT__1533279688170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-03-15-00-36+0800__CAM_BACK__1533279688187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-03-15-00-36+0800__CAM_BACK_LEFT__1533279688197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_BACK_RIGHT__1533279688177905.jpg"
    }
  },
  {
    "scene_token": "4098aaf3c7074e7d87285e2fc95369e0",
    "frame_token": "83472f9810a842ec9e0ade97077f7eea",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT_LEFT,0.5931,0.7658> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue, and the probability is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-03-15-00-36+0800__CAM_FRONT__1533279688164387.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_LEFT__1533279688154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_RIGHT__1533279688170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-03-15-00-36+0800__CAM_BACK__1533279688187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-03-15-00-36+0800__CAM_BACK_LEFT__1533279688197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_BACK_RIGHT__1533279688177905.jpg"
    }
  },
  {
    "scene_token": "4098aaf3c7074e7d87285e2fc95369e0",
    "frame_token": "83472f9810a842ec9e0ade97077f7eea",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, which alters the color representation of the scene. To the front left, there is a stationary red car at coordinates (0.5931, 0.7658). Directly in front, a white sedan is moving at coordinates (0.6386, 0.5592). Behind to the left, a yellow sedan is stationary at coordinates (0.4156, 0.7130). Finally, a black SUV is stationary at the back at coordinates (0.8932, 0.6620). Despite the color distortion, the positions and statuses of these vehicles remain clear.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-03-15-00-36+0800__CAM_FRONT__1533279688164387.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_LEFT__1533279688154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_RIGHT__1533279688170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-03-15-00-36+0800__CAM_BACK__1533279688187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-03-15-00-36+0800__CAM_BACK_LEFT__1533279688197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_BACK_RIGHT__1533279688177905.jpg"
    }
  },
  {
    "scene_token": "74d03e3b673f4a72a3f76e1b0c7840bd",
    "frame_token": "6e54dfd8cdf34ef7bb61e2284e9911b5",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. JPEG compression. C. Fog. D. Rain",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-02-10-56-37+0800__CAM_FRONT__1538449267412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-02-10-56-37+0800__CAM_FRONT_LEFT__1538449267404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-02-10-56-37+0800__CAM_FRONT_RIGHT__1538449267420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-02-10-56-37+0800__CAM_BACK__1538449267437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-02-10-56-37+0800__CAM_BACK_LEFT__1538449267447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-02-10-56-37+0800__CAM_BACK_RIGHT__1538449267427893.jpg"
    }
  },
  {
    "scene_token": "74d03e3b673f4a72a3f76e1b0c7840bd",
    "frame_token": "6e54dfd8cdf34ef7bb61e2284e9911b5",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.5261,0.5463> under color quantization corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "A, Explanation: The object is a white van moving ahead, and the color quantization does not affect its trajectory.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-02-10-56-37+0800__CAM_FRONT__1538449267412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-02-10-56-37+0800__CAM_FRONT_LEFT__1538449267404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-02-10-56-37+0800__CAM_FRONT_RIGHT__1538449267420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-02-10-56-37+0800__CAM_BACK__1538449267437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-02-10-56-37+0800__CAM_BACK_LEFT__1538449267447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-02-10-56-37+0800__CAM_BACK_RIGHT__1538449267427893.jpg"
    }
  },
  {
    "scene_token": "74d03e3b673f4a72a3f76e1b0c7840bd",
    "frame_token": "6e54dfd8cdf34ef7bb61e2284e9911b5",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under color quantization corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white van to the front of the ego vehicle, a pedestrian wearing black shorts to the front left of the ego vehicle, a white sedan car to the back right of the ego vehicle, a white sedan to the back of the ego vehicle, and a sitting person to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.5261,0.5463>, <c2,CAM_FRONT_LEFT,0.9011,0.5787>, <c3,CAM_BACK_RIGHT,0.5039,0.7658>, <c4,CAM_BACK,0.5239,0.5741>, and <c5,CAM_FRONT,0.2417,0.5537>. Despite the color quantization, these objects remain identifiable.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-02-10-56-37+0800__CAM_FRONT__1538449267412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-02-10-56-37+0800__CAM_FRONT_LEFT__1538449267404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-02-10-56-37+0800__CAM_FRONT_RIGHT__1538449267420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-02-10-56-37+0800__CAM_BACK__1538449267437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-02-10-56-37+0800__CAM_BACK_LEFT__1538449267447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-02-10-56-37+0800__CAM_BACK_RIGHT__1538449267427893.jpg"
    }
  },
  {
    "scene_token": "74d03e3b673f4a72a3f76e1b0c7840bd",
    "frame_token": "6e54dfd8cdf34ef7bb61e2284e9911b5",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.5261,0.5463> a traffic sign or a road barrier under color quantization corruption?",
    "answer": "No, Explanation: The object is a white van, not a traffic sign or road barrier, and color quantization does not change its category.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-02-10-56-37+0800__CAM_FRONT__1538449267412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-02-10-56-37+0800__CAM_FRONT_LEFT__1538449267404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-02-10-56-37+0800__CAM_FRONT_RIGHT__1538449267420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-02-10-56-37+0800__CAM_BACK__1538449267437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-02-10-56-37+0800__CAM_BACK_LEFT__1538449267447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-02-10-56-37+0800__CAM_BACK_RIGHT__1538449267427893.jpg"
    }
  },
  {
    "scene_token": "74d03e3b673f4a72a3f76e1b0c7840bd",
    "frame_token": "6e54dfd8cdf34ef7bb61e2284e9911b5",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.5261,0.5463> under color quantization corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is to avoid a collision, which is high in probability. The color quantization does not affect the decision-making process.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-02-10-56-37+0800__CAM_FRONT__1538449267412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-02-10-56-37+0800__CAM_FRONT_LEFT__1538449267404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-02-10-56-37+0800__CAM_FRONT_RIGHT__1538449267420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-02-10-56-37+0800__CAM_BACK__1538449267437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-02-10-56-37+0800__CAM_BACK_LEFT__1538449267447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-02-10-56-37+0800__CAM_BACK_RIGHT__1538449267427893.jpg"
    }
  },
  {
    "scene_token": "74d03e3b673f4a72a3f76e1b0c7840bd",
    "frame_token": "6e54dfd8cdf34ef7bb61e2284e9911b5",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.5261,0.5463> under color quantization corruption?",
    "answer": "Accelerate and go straight. The color quantization does not change the potential collision risk.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-02-10-56-37+0800__CAM_FRONT__1538449267412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-02-10-56-37+0800__CAM_FRONT_LEFT__1538449267404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-02-10-56-37+0800__CAM_FRONT_RIGHT__1538449267420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-02-10-56-37+0800__CAM_BACK__1538449267437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-02-10-56-37+0800__CAM_BACK_LEFT__1538449267447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-02-10-56-37+0800__CAM_BACK_RIGHT__1538449267427893.jpg"
    }
  },
  {
    "scene_token": "74d03e3b673f4a72a3f76e1b0c7840bd",
    "frame_token": "6e54dfd8cdf34ef7bb61e2284e9911b5",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by color quantization, which reduces the color detail but maintains the overall structure. A white van is moving ahead in the center of the road (0.5261, 0.5463). To the front left, a pedestrian wearing black shorts is visible (0.9011, 0.5787). Behind the ego vehicle, a white sedan car is moving to the back right (0.5039, 0.7658) and another white sedan is directly behind (0.5239, 0.5741). A sitting person is also present in front (0.2417, 0.5537). Despite the color quantization, these objects remain identifiable and their positions are clear.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-02-10-56-37+0800__CAM_FRONT__1538449267412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-02-10-56-37+0800__CAM_FRONT_LEFT__1538449267404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-02-10-56-37+0800__CAM_FRONT_RIGHT__1538449267420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-02-10-56-37+0800__CAM_BACK__1538449267437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-02-10-56-37+0800__CAM_BACK_LEFT__1538449267447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-02-10-56-37+0800__CAM_BACK_RIGHT__1538449267427893.jpg"
    }
  },
  {
    "scene_token": "35ecd252b8ee4cbc83376148e192a803",
    "frame_token": "bc854f31737440f9bbdc53291dae1ff4",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Sensor failure. B. Color quant. C. Fog. D. Saturate",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-21-11-53-44-0400__CAM_FRONT__1534867347862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_LEFT__1534867347854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_RIGHT__1534867347870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-21-11-53-44-0400__CAM_BACK__1534867347887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-21-11-53-44-0400__CAM_BACK_LEFT__1534867347897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_BACK_RIGHT__1534867347878113.jpg"
    }
  },
  {
    "scene_token": "35ecd252b8ee4cbc83376148e192a803",
    "frame_token": "bc854f31737440f9bbdc53291dae1ff4",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c3,CAM_BACK,0.5511,0.5908> under colorquant conditions? Please select the correct answer from the following options: A. Going ahead. B. Turn right. C. Turn left.",
    "answer": "A, Explanation: The object is a moving white sedan car, continuing straight.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-21-11-53-44-0400__CAM_FRONT__1534867347862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_LEFT__1534867347854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_RIGHT__1534867347870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-21-11-53-44-0400__CAM_BACK__1534867347887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-21-11-53-44-0400__CAM_BACK_LEFT__1534867347897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_BACK_RIGHT__1534867347878113.jpg"
    }
  },
  {
    "scene_token": "35ecd252b8ee4cbc83376148e192a803",
    "frame_token": "bc854f31737440f9bbdc53291dae1ff4",
    "question_type": "robust_qas",
    "question": "Considering the colorquant effect, what are the important objects in the current scene? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white sedan to the front left of the ego vehicle, a white truck to the front right of the ego vehicle, a white sedan car to the back of the ego vehicle, a black sedan to the front of the ego vehicle, a cone bucket to the front of the ego vehicle, and a white sedan to the front right of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_LEFT,0.7469,0.6408>, <c2,CAM_FRONT_RIGHT,0.0080,0.5111>, <c3,CAM_BACK,0.5511,0.5908>, <c4,CAM_FRONT,0.5437,0.5741>, <c5,CAM_FRONT,0.9333,0.8556>, and <c6,CAM_FRONT_RIGHT,0.7550,0.7021>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-21-11-53-44-0400__CAM_FRONT__1534867347862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_LEFT__1534867347854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_RIGHT__1534867347870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-21-11-53-44-0400__CAM_BACK__1534867347887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-21-11-53-44-0400__CAM_BACK_LEFT__1534867347897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_BACK_RIGHT__1534867347878113.jpg"
    }
  },
  {
    "scene_token": "35ecd252b8ee4cbc83376148e192a803",
    "frame_token": "bc854f31737440f9bbdc53291dae1ff4",
    "question_type": "robust_qas",
    "question": "Under colorquant conditions, is <c1,CAM_FRONT_LEFT,0.7469,0.6408> a traffic sign or a road barrier?",
    "answer": "No, Explanation: The object is a stationary white sedan, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-21-11-53-44-0400__CAM_FRONT__1534867347862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_LEFT__1534867347854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_RIGHT__1534867347870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-21-11-53-44-0400__CAM_BACK__1534867347887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-21-11-53-44-0400__CAM_BACK_LEFT__1534867347897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_BACK_RIGHT__1534867347878113.jpg"
    }
  },
  {
    "scene_token": "35ecd252b8ee4cbc83376148e192a803",
    "frame_token": "bc854f31737440f9bbdc53291dae1ff4",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT_LEFT,0.7469,0.6408> considering colorquant conditions? Why take this action and what's the probability?",
    "answer": "The action is to brake gently to a stop. The reason is to avoid a collision, high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-21-11-53-44-0400__CAM_FRONT__1534867347862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_LEFT__1534867347854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_RIGHT__1534867347870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-21-11-53-44-0400__CAM_BACK__1534867347887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-21-11-53-44-0400__CAM_BACK_LEFT__1534867347897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_BACK_RIGHT__1534867347878113.jpg"
    }
  },
  {
    "scene_token": "35ecd252b8ee4cbc83376148e192a803",
    "frame_token": "bc854f31737440f9bbdc53291dae1ff4",
    "question_type": "robust_qas",
    "question": "In this scenario with colorquant effects, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, brake gently to a stop.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-21-11-53-44-0400__CAM_FRONT__1534867347862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_LEFT__1534867347854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_RIGHT__1534867347870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-21-11-53-44-0400__CAM_BACK__1534867347887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-21-11-53-44-0400__CAM_BACK_LEFT__1534867347897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_BACK_RIGHT__1534867347878113.jpg"
    }
  },
  {
    "scene_token": "35ecd252b8ee4cbc83376148e192a803",
    "frame_token": "bc854f31737440f9bbdc53291dae1ff4",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant conditions. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant, leading to reduced color detail and contrast. A white sedan is stationary to the front left of the ego vehicle at coordinates <c1,CAM_FRONT_LEFT,0.7469,0.6408>. A white truck is stationary to the front right at <c2,CAM_FRONT_RIGHT,0.0080,0.5111>. Behind the ego vehicle, a white sedan car is moving at <c3,CAM_BACK,0.5511,0.5908>. Directly in front, a black sedan is stationary at <c4,CAM_FRONT,0.5437,0.5741>. A cone bucket is visible in front at <c5,CAM_FRONT,0.9333,0.8556>, and another white sedan is stationary to the front right at <c6,CAM_FRONT_RIGHT,0.7550,0.7021>. The scene is urban with buildings and trees, but the colorquant effect makes it challenging to discern finer details.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-21-11-53-44-0400__CAM_FRONT__1534867347862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_LEFT__1534867347854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_RIGHT__1534867347870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-21-11-53-44-0400__CAM_BACK__1534867347887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-21-11-53-44-0400__CAM_BACK_LEFT__1534867347897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_BACK_RIGHT__1534867347878113.jpg"
    }
  },
  {
    "scene_token": "35ecd252b8ee4cbc83376148e192a803",
    "frame_token": "c7ce8d0c255b48a9af8be3d77a3fc644",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Saturate. C. Snow. D. JPEG compression",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-21-11-53-44-0400__CAM_FRONT__1534867341512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_LEFT__1534867341504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_RIGHT__1534867341520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-21-11-53-44-0400__CAM_BACK__1534867341537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-21-11-53-44-0400__CAM_BACK_LEFT__1534867341547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_BACK_RIGHT__1534867341528113.jpg"
    }
  },
  {
    "scene_token": "35ecd252b8ee4cbc83376148e192a803",
    "frame_token": "c7ce8d0c255b48a9af8be3d77a3fc644",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene considering the colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white commercial vehicle to the front of the ego vehicle, a black sedan to the back of the ego vehicle, a silver sedan to the back left of the ego vehicle, a white pickup truck to the back of the ego vehicle, a black SUV to the front of the ego vehicle, and a white sedan to the front left of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.7386,0.5936>, <c2,CAM_BACK,0.7708,0.6352>, <c3,CAM_BACK_LEFT,0.3297,0.7463>, <c4,CAM_BACK,0.5120,0.5824>, <c5,CAM_FRONT,0.5505,0.5481>, and <c6,CAM_FRONT_LEFT,0.7547,0.7006>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-21-11-53-44-0400__CAM_FRONT__1534867341512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_LEFT__1534867341504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_RIGHT__1534867341520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-21-11-53-44-0400__CAM_BACK__1534867341537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-21-11-53-44-0400__CAM_BACK_LEFT__1534867341547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_BACK_RIGHT__1534867341528113.jpg"
    }
  },
  {
    "scene_token": "35ecd252b8ee4cbc83376148e192a803",
    "frame_token": "c7ce8d0c255b48a9af8be3d77a3fc644",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c4,CAM_BACK,0.5120,0.5824> under colorquant corruption? Please select the correct answer from the following options: A. Turn right. B. Going ahead. C. Turn left.",
    "answer": "A, Explanation: The object is a white pickup truck and it is moving, which suggests it is turning right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-21-11-53-44-0400__CAM_FRONT__1534867341512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_LEFT__1534867341504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_RIGHT__1534867341520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-21-11-53-44-0400__CAM_BACK__1534867341537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-21-11-53-44-0400__CAM_BACK_LEFT__1534867341547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_BACK_RIGHT__1534867341528113.jpg"
    }
  },
  {
    "scene_token": "35ecd252b8ee4cbc83376148e192a803",
    "frame_token": "c7ce8d0c255b48a9af8be3d77a3fc644",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.7386,0.5936> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a white commercial vehicle, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-21-11-53-44-0400__CAM_FRONT__1534867341512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_LEFT__1534867341504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_RIGHT__1534867341520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-21-11-53-44-0400__CAM_BACK__1534867341537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-21-11-53-44-0400__CAM_BACK_LEFT__1534867341547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_BACK_RIGHT__1534867341528113.jpg"
    }
  },
  {
    "scene_token": "35ecd252b8ee4cbc83376148e192a803",
    "frame_token": "c7ce8d0c255b48a9af8be3d77a3fc644",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.7386,0.5936> considering colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to accelerate and go ahead. The reason is that the object has little reference value for the ego vehicle, and the probability is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-21-11-53-44-0400__CAM_FRONT__1534867341512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_LEFT__1534867341504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_RIGHT__1534867341520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-21-11-53-44-0400__CAM_BACK__1534867341537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-21-11-53-44-0400__CAM_BACK_LEFT__1534867341547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_BACK_RIGHT__1534867341528113.jpg"
    }
  },
  {
    "scene_token": "35ecd252b8ee4cbc83376148e192a803",
    "frame_token": "c7ce8d0c255b48a9af8be3d77a3fc644",
    "question_type": "robust_qas",
    "question": "In this scenario with colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Slightly offset to the left, slightly offset to the right, accelerate, and go ahead.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-21-11-53-44-0400__CAM_FRONT__1534867341512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_LEFT__1534867341504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_RIGHT__1534867341520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-21-11-53-44-0400__CAM_BACK__1534867341537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-21-11-53-44-0400__CAM_BACK_LEFT__1534867341547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_BACK_RIGHT__1534867341528113.jpg"
    }
  },
  {
    "scene_token": "35ecd252b8ee4cbc83376148e192a803",
    "frame_token": "c7ce8d0c255b48a9af8be3d77a3fc644",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which reduces the color details and makes it challenging to distinguish objects. In front of the ego vehicle, there is a stationary white commercial vehicle at coordinates <c1,CAM_FRONT,0.7386,0.5936>. Behind the ego vehicle, a black sedan is stationary at <c2,CAM_BACK,0.7708,0.6352>, and a white pickup truck is moving at <c4,CAM_BACK,0.5120,0.5824>. To the back left, a silver sedan is stationary at <c3,CAM_BACK_LEFT,0.3297,0.7463>. A black SUV is stationary in front at <c5,CAM_FRONT,0.5505,0.5481>, and a white sedan is stationary to the front left at <c6,CAM_FRONT_LEFT,0.7547,0.7006>. The overall visibility is reduced, making it crucial for the ego vehicle to rely on precise sensor data.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-21-11-53-44-0400__CAM_FRONT__1534867341512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_LEFT__1534867341504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_RIGHT__1534867341520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-21-11-53-44-0400__CAM_BACK__1534867341537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-21-11-53-44-0400__CAM_BACK_LEFT__1534867341547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_BACK_RIGHT__1534867341528113.jpg"
    }
  },
  {
    "scene_token": "797700339b014fb6aa61c1ea3778d587",
    "frame_token": "fbc07f14f4ca4f9692e6139031e58161",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. JPEG compression. B. Color quant. C. Rain. D. Sensor failure",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-19-09-14+0800__CAM_FRONT__1542194161662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_LEFT__1542194161654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_RIGHT__1542194161670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-19-09-14+0800__CAM_BACK__1542194161687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-19-09-14+0800__CAM_BACK_LEFT__1542194161697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_BACK_RIGHT__1542194161677893.jpg"
    }
  },
  {
    "scene_token": "797700339b014fb6aa61c1ea3778d587",
    "frame_token": "fbc07f14f4ca4f9692e6139031e58161",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a pedestrian wearing a white shirt to the front left of the ego vehicle, a yellow bus to the back of the ego vehicle, and a silver sedan to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_LEFT,0.8656,0.6611>, <c2,CAM_BACK,0.6234,0.5611>, and <c3,CAM_FRONT,0.4995,0.5186>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-19-09-14+0800__CAM_FRONT__1542194161662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_LEFT__1542194161654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_RIGHT__1542194161670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-19-09-14+0800__CAM_BACK__1542194161687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-19-09-14+0800__CAM_BACK_LEFT__1542194161697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_BACK_RIGHT__1542194161677893.jpg"
    }
  },
  {
    "scene_token": "797700339b014fb6aa61c1ea3778d587",
    "frame_token": "fbc07f14f4ca4f9692e6139031e58161",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT_LEFT,0.8656,0.6611> under colorquant corruption? Please select the correct answer from the following options: A. Turn right. B. Turn left. C. Going ahead.",
    "answer": "C, Explanation: The object is a pedestrian wearing a white shirt and is moving ahead.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-19-09-14+0800__CAM_FRONT__1542194161662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_LEFT__1542194161654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_RIGHT__1542194161670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-19-09-14+0800__CAM_BACK__1542194161687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-19-09-14+0800__CAM_BACK_LEFT__1542194161697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_BACK_RIGHT__1542194161677893.jpg"
    }
  },
  {
    "scene_token": "797700339b014fb6aa61c1ea3778d587",
    "frame_token": "fbc07f14f4ca4f9692e6139031e58161",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_LEFT,0.8656,0.6611> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a pedestrian wearing a white shirt, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-19-09-14+0800__CAM_FRONT__1542194161662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_LEFT__1542194161654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_RIGHT__1542194161670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-19-09-14+0800__CAM_BACK__1542194161687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-19-09-14+0800__CAM_BACK_LEFT__1542194161697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_BACK_RIGHT__1542194161677893.jpg"
    }
  },
  {
    "scene_token": "797700339b014fb6aa61c1ea3778d587",
    "frame_token": "fbc07f14f4ca4f9692e6139031e58161",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant corruption? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice that pedestrian wearing a white shirt at left camera. The object is going ahead, so the ego vehicle should keep going ahead at the same speed. Secondly, notice that silver sedan at front camera. The object is going ahead, so the ego vehicle should keep going ahead at the same speed. Thirdly, notice that yellow bus at back camera. The object is stationary, so the ego vehicle should keep going ahead at the same speed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-19-09-14+0800__CAM_FRONT__1542194161662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_LEFT__1542194161654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_RIGHT__1542194161670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-19-09-14+0800__CAM_BACK__1542194161687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-19-09-14+0800__CAM_BACK_LEFT__1542194161697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_BACK_RIGHT__1542194161677893.jpg"
    }
  },
  {
    "scene_token": "797700339b014fb6aa61c1ea3778d587",
    "frame_token": "fbc07f14f4ca4f9692e6139031e58161",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT_LEFT,0.8656,0.6611> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is to avoid a collision, high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-19-09-14+0800__CAM_FRONT__1542194161662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_LEFT__1542194161654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_RIGHT__1542194161670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-19-09-14+0800__CAM_BACK__1542194161687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-19-09-14+0800__CAM_BACK_LEFT__1542194161697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_BACK_RIGHT__1542194161677893.jpg"
    }
  },
  {
    "scene_token": "797700339b014fb6aa61c1ea3778d587",
    "frame_token": "fbc07f14f4ca4f9692e6139031e58161",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT_LEFT,0.8656,0.6611> under colorquant corruption?",
    "answer": "Sharp left turn.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-19-09-14+0800__CAM_FRONT__1542194161662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_LEFT__1542194161654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_RIGHT__1542194161670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-19-09-14+0800__CAM_BACK__1542194161687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-19-09-14+0800__CAM_BACK_LEFT__1542194161697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_BACK_RIGHT__1542194161677893.jpg"
    }
  },
  {
    "scene_token": "797700339b014fb6aa61c1ea3778d587",
    "frame_token": "fbc07f14f4ca4f9692e6139031e58161",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, making it challenging to distinguish objects clearly. A pedestrian wearing a white shirt is moving at the front left of the ego vehicle, positioned at coordinates <c1,CAM_FRONT_LEFT,0.8656,0.6611>. A yellow bus is stationary behind the ego vehicle, located at <c2,CAM_BACK,0.6234,0.5611>. In front of the ego vehicle, a silver sedan is moving, positioned at <c3,CAM_FRONT,0.4995,0.5186>. The overall visibility is reduced, requiring careful attention to these key objects.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-19-09-14+0800__CAM_FRONT__1542194161662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_LEFT__1542194161654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_RIGHT__1542194161670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-19-09-14+0800__CAM_BACK__1542194161687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-19-09-14+0800__CAM_BACK_LEFT__1542194161697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_BACK_RIGHT__1542194161677893.jpg"
    }
  },
  {
    "scene_token": "2c96ff6afc9e4cf7bc8b107fce955c1f",
    "frame_token": "c61f77e2820743f696047eec21d7807a",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Sensor failure. B. Snow. C. Color quant. D. Rain",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-53-31-0400__CAM_FRONT__1537289778012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_LEFT__1537289778004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_RIGHT__1537289778020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-53-31-0400__CAM_BACK__1537289778037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-53-31-0400__CAM_BACK_LEFT__1537289778047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_BACK_RIGHT__1537289778028113.jpg"
    }
  },
  {
    "scene_token": "2c96ff6afc9e4cf7bc8b107fce955c1f",
    "frame_token": "c61f77e2820743f696047eec21d7807a",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.5583,0.5694> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "A, Explanation: The object is a black Jeep moving ahead, and the colorquant corruption does not affect its trajectory.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-53-31-0400__CAM_FRONT__1537289778012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_LEFT__1537289778004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_RIGHT__1537289778020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-53-31-0400__CAM_BACK__1537289778037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-53-31-0400__CAM_BACK_LEFT__1537289778047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_BACK_RIGHT__1537289778028113.jpg"
    }
  },
  {
    "scene_token": "2c96ff6afc9e4cf7bc8b107fce955c1f",
    "frame_token": "c61f77e2820743f696047eec21d7807a",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black Jeep to the back of the ego vehicle, a yellow construction truck to the front of the ego vehicle, a pedestrian wearing a yellow shirt to the front of the ego vehicle, and a white sedan to the front left of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.5583,0.5694>, <c2,CAM_FRONT,0.6016,0.5176>, <c3,CAM_FRONT,0.9114,0.5314>, and <c4,CAM_FRONT_LEFT,0.3567,0.7696>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-53-31-0400__CAM_FRONT__1537289778012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_LEFT__1537289778004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_RIGHT__1537289778020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-53-31-0400__CAM_BACK__1537289778037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-53-31-0400__CAM_BACK_LEFT__1537289778047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_BACK_RIGHT__1537289778028113.jpg"
    }
  },
  {
    "scene_token": "2c96ff6afc9e4cf7bc8b107fce955c1f",
    "frame_token": "c61f77e2820743f696047eec21d7807a",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.5583,0.5694> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a black Jeep, not a traffic sign or road barrier, and the colorquant corruption does not change its classification.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-53-31-0400__CAM_FRONT__1537289778012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_LEFT__1537289778004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_RIGHT__1537289778020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-53-31-0400__CAM_BACK__1537289778037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-53-31-0400__CAM_BACK_LEFT__1537289778047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_BACK_RIGHT__1537289778028113.jpg"
    }
  },
  {
    "scene_token": "2c96ff6afc9e4cf7bc8b107fce955c1f",
    "frame_token": "c61f77e2820743f696047eec21d7807a",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, brake gently to a stop, decelerate gradually without braking, slightly offset to the right.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-53-31-0400__CAM_FRONT__1537289778012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_LEFT__1537289778004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_RIGHT__1537289778020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-53-31-0400__CAM_BACK__1537289778037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-53-31-0400__CAM_BACK_LEFT__1537289778047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_BACK_RIGHT__1537289778028113.jpg"
    }
  },
  {
    "scene_token": "2c96ff6afc9e4cf7bc8b107fce955c1f",
    "frame_token": "c61f77e2820743f696047eec21d7807a",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK,0.5583,0.5694> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is to avoid a collision, which is high probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-53-31-0400__CAM_FRONT__1537289778012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_LEFT__1537289778004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_RIGHT__1537289778020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-53-31-0400__CAM_BACK__1537289778037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-53-31-0400__CAM_BACK_LEFT__1537289778047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_BACK_RIGHT__1537289778028113.jpg"
    }
  },
  {
    "scene_token": "2c96ff6afc9e4cf7bc8b107fce955c1f",
    "frame_token": "c61f77e2820743f696047eec21d7807a",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which alters the color representation, making it challenging to distinguish objects based on color. A black Jeep is moving behind the ego vehicle at coordinates <c1,CAM_BACK,0.5583,0.5694>. Ahead, a stationary yellow construction truck is positioned at <c2,CAM_FRONT,0.6016,0.5176>. A pedestrian wearing a yellow shirt is moving at <c3,CAM_FRONT,0.9114,0.5314>. To the front left, a white sedan is moving at <c4,CAM_FRONT_LEFT,0.3567,0.7696>. Despite the color distortion, the positions and movements of these objects remain clear.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-53-31-0400__CAM_FRONT__1537289778012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_LEFT__1537289778004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_RIGHT__1537289778020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-53-31-0400__CAM_BACK__1537289778037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-53-31-0400__CAM_BACK_LEFT__1537289778047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_BACK_RIGHT__1537289778028113.jpg"
    }
  },
  {
    "scene_token": "2c96ff6afc9e4cf7bc8b107fce955c1f",
    "frame_token": "d90e838c4fd145d38d27063ad91fc13b",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Fog. B. Bright. C. Color quant. D. Rain",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-53-31-0400__CAM_FRONT__1537289772512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_LEFT__1537289772504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_RIGHT__1537289772520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-53-31-0400__CAM_BACK__1537289772537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-53-31-0400__CAM_BACK_LEFT__1537289772547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_BACK_RIGHT__1537289772528113.jpg"
    }
  },
  {
    "scene_token": "2c96ff6afc9e4cf7bc8b107fce955c1f",
    "frame_token": "d90e838c4fd145d38d27063ad91fc13b",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.5583,0.5519> under colorquant corruption? Please select the correct answer from the following options: A. Turn right. B. Going ahead. C. Turn left.",
    "answer": "B, Explanation: The object is a black car moving ahead, and the colorquant corruption does not affect its status.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-53-31-0400__CAM_FRONT__1537289772512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_LEFT__1537289772504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_RIGHT__1537289772520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-53-31-0400__CAM_BACK__1537289772537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-53-31-0400__CAM_BACK_LEFT__1537289772547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_BACK_RIGHT__1537289772528113.jpg"
    }
  },
  {
    "scene_token": "2c96ff6afc9e4cf7bc8b107fce955c1f",
    "frame_token": "d90e838c4fd145d38d27063ad91fc13b",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black car to the back of the ego vehicle, a white business to the front of the ego vehicle, a silver gray sedan to the front right of the ego vehicle, and a black SUV to the front left of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.5583,0.5519>, <c2,CAM_FRONT,0.8927,0.5861>, <c3,CAM_FRONT_RIGHT,0.3469,0.7741>, and <c4,CAM_FRONT_LEFT,0.6308,0.6037>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-53-31-0400__CAM_FRONT__1537289772512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_LEFT__1537289772504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_RIGHT__1537289772520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-53-31-0400__CAM_BACK__1537289772537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-53-31-0400__CAM_BACK_LEFT__1537289772547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_BACK_RIGHT__1537289772528113.jpg"
    }
  },
  {
    "scene_token": "2c96ff6afc9e4cf7bc8b107fce955c1f",
    "frame_token": "d90e838c4fd145d38d27063ad91fc13b",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.5583,0.5519> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a black car, not a traffic sign or road barrier, and the colorquant corruption does not change its category.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-53-31-0400__CAM_FRONT__1537289772512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_LEFT__1537289772504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_RIGHT__1537289772520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-53-31-0400__CAM_BACK__1537289772537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-53-31-0400__CAM_BACK_LEFT__1537289772547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_BACK_RIGHT__1537289772528113.jpg"
    }
  },
  {
    "scene_token": "2c96ff6afc9e4cf7bc8b107fce955c1f",
    "frame_token": "d90e838c4fd145d38d27063ad91fc13b",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, decelerate gradually without braking.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-53-31-0400__CAM_FRONT__1537289772512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_LEFT__1537289772504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_RIGHT__1537289772520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-53-31-0400__CAM_BACK__1537289772537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-53-31-0400__CAM_BACK_LEFT__1537289772547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_BACK_RIGHT__1537289772528113.jpg"
    }
  },
  {
    "scene_token": "2c96ff6afc9e4cf7bc8b107fce955c1f",
    "frame_token": "d90e838c4fd145d38d27063ad91fc13b",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.5583,0.5519> under colorquant corruption?",
    "answer": "Back up.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-53-31-0400__CAM_FRONT__1537289772512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_LEFT__1537289772504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_RIGHT__1537289772520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-53-31-0400__CAM_BACK__1537289772537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-53-31-0400__CAM_BACK_LEFT__1537289772547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_BACK_RIGHT__1537289772528113.jpg"
    }
  },
  {
    "scene_token": "2c96ff6afc9e4cf7bc8b107fce955c1f",
    "frame_token": "d90e838c4fd145d38d27063ad91fc13b",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which alters the color palette, making it challenging to distinguish between objects. Despite this, key objects are identifiable: a black car is moving behind the ego vehicle at coordinates <c1,CAM_BACK,0.5583,0.5519>, a stationary white business is in front at <c2,CAM_FRONT,0.8927,0.5861>, a silver gray sedan is stationary to the front right at <c3,CAM_FRONT_RIGHT,0.3469,0.7741>, and a black SUV is stationary to the front left at <c4,CAM_FRONT_LEFT,0.6308,0.6037>. The road appears wet, reflecting light, which adds to the visual complexity.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-53-31-0400__CAM_FRONT__1537289772512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_LEFT__1537289772504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_RIGHT__1537289772520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-53-31-0400__CAM_BACK__1537289772537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-53-31-0400__CAM_BACK_LEFT__1537289772547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_BACK_RIGHT__1537289772528113.jpg"
    }
  },
  {
    "scene_token": "19640fe4b6894f97b16e0faad51432b4",
    "frame_token": "c217fc7644164911a7e9cfd1858825ce",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Bit error. B. Color quant. C. Dark. D. Rain",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-19-09-14+0800__CAM_FRONT__1542194208162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_LEFT__1542194208154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_RIGHT__1542194208170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-19-09-14+0800__CAM_BACK__1542194208187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-19-09-14+0800__CAM_BACK_LEFT__1542194208197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_BACK_RIGHT__1542194208177893.jpg"
    }
  },
  {
    "scene_token": "19640fe4b6894f97b16e0faad51432b4",
    "frame_token": "c217fc7644164911a7e9cfd1858825ce",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black small car to the front of the ego vehicle, a white small car to the front of the ego vehicle, an indistinguishable object to the back of the ego vehicle, and a black small car to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.3609,0.5528>, <c2,CAM_FRONT,0.4458,0.5398>, <c3,CAM_BACK,0.6011,0.5741>, and <c4,CAM_FRONT,0.2354,0.5092>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-19-09-14+0800__CAM_FRONT__1542194208162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_LEFT__1542194208154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_RIGHT__1542194208170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-19-09-14+0800__CAM_BACK__1542194208187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-19-09-14+0800__CAM_BACK_LEFT__1542194208197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_BACK_RIGHT__1542194208177893.jpg"
    }
  },
  {
    "scene_token": "19640fe4b6894f97b16e0faad51432b4",
    "frame_token": "c217fc7644164911a7e9cfd1858825ce",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.3609,0.5528> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "B, Explanation: The object is a black small car moving ahead.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-19-09-14+0800__CAM_FRONT__1542194208162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_LEFT__1542194208154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_RIGHT__1542194208170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-19-09-14+0800__CAM_BACK__1542194208187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-19-09-14+0800__CAM_BACK_LEFT__1542194208197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_BACK_RIGHT__1542194208177893.jpg"
    }
  },
  {
    "scene_token": "19640fe4b6894f97b16e0faad51432b4",
    "frame_token": "c217fc7644164911a7e9cfd1858825ce",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.3609,0.5528> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a black small car, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-19-09-14+0800__CAM_FRONT__1542194208162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_LEFT__1542194208154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_RIGHT__1542194208170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-19-09-14+0800__CAM_BACK__1542194208187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-19-09-14+0800__CAM_BACK_LEFT__1542194208197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_BACK_RIGHT__1542194208177893.jpg"
    }
  },
  {
    "scene_token": "19640fe4b6894f97b16e0faad51432b4",
    "frame_token": "c217fc7644164911a7e9cfd1858825ce",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.3609,0.5528> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to decelerate gradually without braking. The reason is to avoid a collision, which is high probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-19-09-14+0800__CAM_FRONT__1542194208162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_LEFT__1542194208154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_RIGHT__1542194208170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-19-09-14+0800__CAM_BACK__1542194208187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-19-09-14+0800__CAM_BACK_LEFT__1542194208197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_BACK_RIGHT__1542194208177893.jpg"
    }
  },
  {
    "scene_token": "19640fe4b6894f97b16e0faad51432b4",
    "frame_token": "c217fc7644164911a7e9cfd1858825ce",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.3609,0.5528> under colorquant corruption?",
    "answer": "Accelerate and go straight.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-19-09-14+0800__CAM_FRONT__1542194208162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_LEFT__1542194208154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_RIGHT__1542194208170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-19-09-14+0800__CAM_BACK__1542194208187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-19-09-14+0800__CAM_BACK_LEFT__1542194208197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_BACK_RIGHT__1542194208177893.jpg"
    }
  },
  {
    "scene_token": "19640fe4b6894f97b16e0faad51432b4",
    "frame_token": "c217fc7644164911a7e9cfd1858825ce",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is heavily affected by colorquant corruption, making it difficult to distinguish details. To the front of the ego vehicle, there are two small cars: a black one at coordinates (0.3609, 0.5528) and a white one at (0.4458, 0.5398). Behind the ego vehicle, there is an indistinguishable object at (0.6011, 0.5741). Another black small car is also in front at (0.2354, 0.5092). The overall visibility is reduced, impacting the perception of the environment.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-19-09-14+0800__CAM_FRONT__1542194208162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_LEFT__1542194208154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_RIGHT__1542194208170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-19-09-14+0800__CAM_BACK__1542194208187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-19-09-14+0800__CAM_BACK_LEFT__1542194208197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_BACK_RIGHT__1542194208177893.jpg"
    }
  },
  {
    "scene_token": "2f093cad7209436aa06e103bfe062857",
    "frame_token": "8d50d284e3a94262a2c27caf2a365fb8",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Bit error. B. Fog. C. Color quant. D. Snow",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-02-17-28-51+0800__CAM_FRONT__1533202615662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-02-17-28-51+0800__CAM_FRONT_LEFT__1533202615654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-02-17-28-51+0800__CAM_FRONT_RIGHT__1533202615670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-02-17-28-51+0800__CAM_BACK__1533202615687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-02-17-28-51+0800__CAM_BACK_LEFT__1533202615697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-02-17-28-51+0800__CAM_BACK_RIGHT__1533202615677893.jpg"
    }
  },
  {
    "scene_token": "2f093cad7209436aa06e103bfe062857",
    "frame_token": "8d50d284e3a94262a2c27caf2a365fb8",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_FRONT_LEFT,0.7886,0.6667> under colorquant corruption? Please select the correct answer from the following options: A. Turn right. B. Turn left. C. Going ahead.",
    "answer": "C, Explanation: The object is a pedestrian with a yellow hat, moving ahead.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-02-17-28-51+0800__CAM_FRONT__1533202615662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-02-17-28-51+0800__CAM_FRONT_LEFT__1533202615654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-02-17-28-51+0800__CAM_FRONT_RIGHT__1533202615670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-02-17-28-51+0800__CAM_BACK__1533202615687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-02-17-28-51+0800__CAM_BACK_LEFT__1533202615697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-02-17-28-51+0800__CAM_BACK_RIGHT__1533202615677893.jpg"
    }
  },
  {
    "scene_token": "2f093cad7209436aa06e103bfe062857",
    "frame_token": "8d50d284e3a94262a2c27caf2a365fb8",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is an orange and white traffic cone to the front of the ego vehicle, a pedestrian with a yellow hat to the front left of the ego vehicle, a silver sedan to the back right of the ego vehicle, a brown sedan to the back of the ego vehicle, a silver business car to the back left of the ego vehicle, and a white landmark line to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.4891,0.9262>, <c2,CAM_FRONT_LEFT,0.7886,0.6667>, <c3,CAM_BACK_RIGHT,0.5156,0.7602>, <c4,CAM_BACK,0.5062,0.6648>, <c5,CAM_BACK_LEFT,0.2526,0.6426>, and <c6,CAM_FRONT,0.6107,0.9260>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-02-17-28-51+0800__CAM_FRONT__1533202615662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-02-17-28-51+0800__CAM_FRONT_LEFT__1533202615654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-02-17-28-51+0800__CAM_FRONT_RIGHT__1533202615670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-02-17-28-51+0800__CAM_BACK__1533202615687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-02-17-28-51+0800__CAM_BACK_LEFT__1533202615697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-02-17-28-51+0800__CAM_BACK_RIGHT__1533202615677893.jpg"
    }
  },
  {
    "scene_token": "2f093cad7209436aa06e103bfe062857",
    "frame_token": "8d50d284e3a94262a2c27caf2a365fb8",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.4891,0.9262> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "Yes, Explanation: The object is an orange and white traffic cone, which serves as a road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-02-17-28-51+0800__CAM_FRONT__1533202615662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-02-17-28-51+0800__CAM_FRONT_LEFT__1533202615654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-02-17-28-51+0800__CAM_FRONT_RIGHT__1533202615670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-02-17-28-51+0800__CAM_BACK__1533202615687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-02-17-28-51+0800__CAM_BACK_LEFT__1533202615697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-02-17-28-51+0800__CAM_BACK_RIGHT__1533202615677893.jpg"
    }
  },
  {
    "scene_token": "2f093cad7209436aa06e103bfe062857",
    "frame_token": "8d50d284e3a94262a2c27caf2a365fb8",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c2,CAM_FRONT_LEFT,0.7886,0.6667> under colorquant corruption?",
    "answer": "Slight left turn.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-02-17-28-51+0800__CAM_FRONT__1533202615662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-02-17-28-51+0800__CAM_FRONT_LEFT__1533202615654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-02-17-28-51+0800__CAM_FRONT_RIGHT__1533202615670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-02-17-28-51+0800__CAM_BACK__1533202615687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-02-17-28-51+0800__CAM_BACK_LEFT__1533202615697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-02-17-28-51+0800__CAM_BACK_RIGHT__1533202615677893.jpg"
    }
  },
  {
    "scene_token": "2f093cad7209436aa06e103bfe062857",
    "frame_token": "8d50d284e3a94262a2c27caf2a365fb8",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Brake gently to a stop, brake suddenly.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-02-17-28-51+0800__CAM_FRONT__1533202615662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-02-17-28-51+0800__CAM_FRONT_LEFT__1533202615654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-02-17-28-51+0800__CAM_FRONT_RIGHT__1533202615670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-02-17-28-51+0800__CAM_BACK__1533202615687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-02-17-28-51+0800__CAM_BACK_LEFT__1533202615697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-02-17-28-51+0800__CAM_BACK_RIGHT__1533202615677893.jpg"
    }
  },
  {
    "scene_token": "2f093cad7209436aa06e103bfe062857",
    "frame_token": "8d50d284e3a94262a2c27caf2a365fb8",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, making colors appear less distinct and more uniform. In front of the ego vehicle, there is an orange and white traffic cone (<c1,CAM_FRONT,0.4891,0.9262>) and a white landmark line (<c6,CAM_FRONT,0.6107,0.9260>). To the front left, a pedestrian wearing a yellow hat is moving (<c2,CAM_FRONT_LEFT,0.7886,0.6667>). Behind the ego vehicle, a silver sedan is stationary (<c3,CAM_BACK_RIGHT,0.5156,0.7602>), along with a brown sedan directly behind (<c4,CAM_BACK,0.5062,0.6648>) and a silver business car to the back left (<c5,CAM_BACK_LEFT,0.2526,0.6426>). The overall visibility is reduced, requiring careful navigation.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-02-17-28-51+0800__CAM_FRONT__1533202615662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-02-17-28-51+0800__CAM_FRONT_LEFT__1533202615654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-02-17-28-51+0800__CAM_FRONT_RIGHT__1533202615670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-02-17-28-51+0800__CAM_BACK__1533202615687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-02-17-28-51+0800__CAM_BACK_LEFT__1533202615697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-02-17-28-51+0800__CAM_BACK_RIGHT__1533202615677893.jpg"
    }
  },
  {
    "scene_token": "8adaf76e6005413181924e6c83053a21",
    "frame_token": "674606c111a34332a95498a56858e1c3",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Fog. B. Color quant. C. Motion blur. D. Bit error",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193360412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193360404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193360420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193360437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193360447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193360427893.jpg"
    }
  },
  {
    "scene_token": "8adaf76e6005413181924e6c83053a21",
    "frame_token": "674606c111a34332a95498a56858e1c3",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.4849,0.5944> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn right. C. Turn left.",
    "answer": "A, Explanation: The object is a silver sedan moving ahead, and the corruption does not affect its status.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193360412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193360404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193360420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193360437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193360447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193360427893.jpg"
    }
  },
  {
    "scene_token": "8adaf76e6005413181924e6c83053a21",
    "frame_token": "674606c111a34332a95498a56858e1c3",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a silver sedan to the back of the ego vehicle, a pedestrian to the front left of the ego vehicle, and a straight, left turn, right turn to the front of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.4849,0.5944>, <c2,CAM_FRONT_LEFT,0.9386,0.7176>, and <c3,CAM_FRONT,0.6144,0.6750>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193360412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193360404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193360420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193360437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193360447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193360427893.jpg"
    }
  },
  {
    "scene_token": "8adaf76e6005413181924e6c83053a21",
    "frame_token": "674606c111a34332a95498a56858e1c3",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant corruption? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice that pedestrian at left camera. The object is going ahead, so the ego vehicle should keep going ahead at the same speed. Secondly, notice that straight, left turn, right turn at front camera. The object is a traffic sign, so the ego vehicle should keep going ahead at the same speed. Thirdly, notice that silver sedan at back camera. The object is going ahead, so the ego vehicle should keep going ahead at the same speed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193360412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193360404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193360420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193360437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193360447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193360427893.jpg"
    }
  },
  {
    "scene_token": "8adaf76e6005413181924e6c83053a21",
    "frame_token": "674606c111a34332a95498a56858e1c3",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.4849,0.5944> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a silver sedan, not a traffic sign or road barrier, and the corruption does not change its identity.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193360412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193360404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193360420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193360437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193360447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193360427893.jpg"
    }
  },
  {
    "scene_token": "8adaf76e6005413181924e6c83053a21",
    "frame_token": "674606c111a34332a95498a56858e1c3",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.4849,0.5944> under colorquant corruption?",
    "answer": "Brake suddenly.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193360412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193360404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193360420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193360437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193360447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193360427893.jpg"
    }
  },
  {
    "scene_token": "8adaf76e6005413181924e6c83053a21",
    "frame_token": "674606c111a34332a95498a56858e1c3",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Brake gently to a stop, decelerate gradually without braking.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193360412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193360404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193360420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193360437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193360447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193360427893.jpg"
    }
  },
  {
    "scene_token": "8adaf76e6005413181924e6c83053a21",
    "frame_token": "674606c111a34332a95498a56858e1c3",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, causing a reduction in color detail and contrast. Despite this, key objects are identifiable: a silver sedan is moving behind the ego vehicle at coordinates <c1,CAM_BACK,0.4849,0.5944>. A pedestrian is moving to the front left of the ego vehicle at coordinates <c2,CAM_FRONT_LEFT,0.9386,0.7176>. Additionally, a traffic element indicating straight, left turn, and right turn is visible in front of the ego vehicle at coordinates <c3,CAM_FRONT,0.6144,0.6750>. The overall scene is darker, with less distinction between objects and their surroundings.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193360412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193360404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193360420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193360437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193360447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193360427893.jpg"
    }
  },
  {
    "scene_token": "ba76f4185aa34ed3bff467ac640da902",
    "frame_token": "2fd8f9bd71664143bc0e643a914791be",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. JPEG compression. B. Snow. C. Color quant. D. Rain",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-17-04-15+0800__CAM_FRONT__1533114333012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-17-04-15+0800__CAM_FRONT_LEFT__1533114333004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-17-04-15+0800__CAM_FRONT_RIGHT__1533114333020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-17-04-15+0800__CAM_BACK__1533114333037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-17-04-15+0800__CAM_BACK_LEFT__1533114333047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-17-04-15+0800__CAM_BACK_RIGHT__1533114333027893.jpg"
    }
  },
  {
    "scene_token": "ba76f4185aa34ed3bff467ac640da902",
    "frame_token": "2fd8f9bd71664143bc0e643a914791be",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c4,CAM_FRONT,0.3433,0.6611> under colorquant corruption? Please select the correct answer from the following options: A. Turn right. B. Turn left. C. Going ahead.",
    "answer": "C, Explanation: The object is a person wearing a white shirt and is moving ahead.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-17-04-15+0800__CAM_FRONT__1533114333012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-17-04-15+0800__CAM_FRONT_LEFT__1533114333004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-17-04-15+0800__CAM_FRONT_RIGHT__1533114333020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-17-04-15+0800__CAM_BACK__1533114333037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-17-04-15+0800__CAM_BACK_LEFT__1533114333047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-17-04-15+0800__CAM_BACK_RIGHT__1533114333027893.jpg"
    }
  },
  {
    "scene_token": "ba76f4185aa34ed3bff467ac640da902",
    "frame_token": "2fd8f9bd71664143bc0e643a914791be",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene considering the colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a red traffic cone to the front of the ego vehicle, a white van to the front right of the ego vehicle, a white sedan to the front right of the ego vehicle, a person wearing a white shirt to the front of the ego vehicle, and a red light to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.1906,0.7676>, <c2,CAM_FRONT_RIGHT,0.6922,0.5509>, <c3,CAM_FRONT_RIGHT,0.3000,0.5963>, <c4,CAM_FRONT,0.3433,0.6611>, and <c5,CAM_FRONT,0.9852,0.2991>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-17-04-15+0800__CAM_FRONT__1533114333012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-17-04-15+0800__CAM_FRONT_LEFT__1533114333004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-17-04-15+0800__CAM_FRONT_RIGHT__1533114333020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-17-04-15+0800__CAM_BACK__1533114333037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-17-04-15+0800__CAM_BACK_LEFT__1533114333047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-17-04-15+0800__CAM_BACK_RIGHT__1533114333027893.jpg"
    }
  },
  {
    "scene_token": "ba76f4185aa34ed3bff467ac640da902",
    "frame_token": "2fd8f9bd71664143bc0e643a914791be",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.1906,0.7676> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "Yes, Explanation: The object is a red traffic cone, which can be considered a road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-17-04-15+0800__CAM_FRONT__1533114333012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-17-04-15+0800__CAM_FRONT_LEFT__1533114333004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-17-04-15+0800__CAM_FRONT_RIGHT__1533114333020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-17-04-15+0800__CAM_BACK__1533114333037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-17-04-15+0800__CAM_BACK_LEFT__1533114333047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-17-04-15+0800__CAM_BACK_RIGHT__1533114333027893.jpg"
    }
  },
  {
    "scene_token": "ba76f4185aa34ed3bff467ac640da902",
    "frame_token": "2fd8f9bd71664143bc0e643a914791be",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c2,CAM_FRONT_RIGHT,0.6922,0.5509> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to turn right. The reason is to follow the traffic rules, and the probability is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-17-04-15+0800__CAM_FRONT__1533114333012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-17-04-15+0800__CAM_FRONT_LEFT__1533114333004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-17-04-15+0800__CAM_FRONT_RIGHT__1533114333020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-17-04-15+0800__CAM_BACK__1533114333037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-17-04-15+0800__CAM_BACK_LEFT__1533114333047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-17-04-15+0800__CAM_BACK_RIGHT__1533114333027893.jpg"
    }
  },
  {
    "scene_token": "ba76f4185aa34ed3bff467ac640da902",
    "frame_token": "2fd8f9bd71664143bc0e643a914791be",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c2,CAM_FRONT_RIGHT,0.6922,0.5509> under colorquant corruption?",
    "answer": "Sharp right turn.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-17-04-15+0800__CAM_FRONT__1533114333012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-17-04-15+0800__CAM_FRONT_LEFT__1533114333004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-17-04-15+0800__CAM_FRONT_RIGHT__1533114333020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-17-04-15+0800__CAM_BACK__1533114333037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-17-04-15+0800__CAM_BACK_LEFT__1533114333047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-17-04-15+0800__CAM_BACK_RIGHT__1533114333027893.jpg"
    }
  },
  {
    "scene_token": "ba76f4185aa34ed3bff467ac640da902",
    "frame_token": "2fd8f9bd71664143bc0e643a914791be",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, making colors appear distorted and less distinct. To the front of the ego vehicle, there is a red traffic cone at coordinates <c1,CAM_FRONT,0.1906,0.7676>. A white van is stationary to the front right at <c2,CAM_FRONT_RIGHT,0.6922,0.5509>, and a white sedan is also stationary nearby at <c3,CAM_FRONT_RIGHT,0.3000,0.5963>. A person wearing a white shirt is moving ahead at <c4,CAM_FRONT,0.3433,0.6611>. Additionally, a red light is visible to the front at <c5,CAM_FRONT,0.9852,0.2991>. The overall visibility is reduced due to the color distortion.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-17-04-15+0800__CAM_FRONT__1533114333012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-17-04-15+0800__CAM_FRONT_LEFT__1533114333004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-17-04-15+0800__CAM_FRONT_RIGHT__1533114333020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-17-04-15+0800__CAM_BACK__1533114333037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-17-04-15+0800__CAM_BACK_LEFT__1533114333047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-17-04-15+0800__CAM_BACK_RIGHT__1533114333027893.jpg"
    }
  },
  {
    "scene_token": "b79d940da8df43d09ee972c2414ffeca",
    "frame_token": "dae47bb946e8418eb0fea1267c1ba730",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. H256 ABR compression. B. Rain. C. Motion blur. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-50-34+0800__CAM_FRONT__1531886095662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_LEFT__1531886095654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_RIGHT__1531886095670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-50-34+0800__CAM_BACK__1531886095687533.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-50-34+0800__CAM_BACK_LEFT__1531886095697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_BACK_RIGHT__1531886095677893.jpg"
    }
  },
  {
    "scene_token": "b79d940da8df43d09ee972c2414ffeca",
    "frame_token": "dae47bb946e8418eb0fea1267c1ba730",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a blue car to the back of the ego vehicle, a pedestrian wearing a white shirt to the front left of the ego vehicle, and a brown sedan car to the front right of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.8109,0.6741>, <c2,CAM_FRONT_LEFT,0.5739,0.6361>, and <c3,CAM_FRONT_RIGHT,0.4328,0.7398>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-50-34+0800__CAM_FRONT__1531886095662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_LEFT__1531886095654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_RIGHT__1531886095670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-50-34+0800__CAM_BACK__1531886095687533.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-50-34+0800__CAM_BACK_LEFT__1531886095697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_BACK_RIGHT__1531886095677893.jpg"
    }
  },
  {
    "scene_token": "b79d940da8df43d09ee972c2414ffeca",
    "frame_token": "dae47bb946e8418eb0fea1267c1ba730",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_FRONT_LEFT,0.5739,0.6361> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "A, Explanation: The object is a pedestrian wearing a white shirt and is moving ahead.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-50-34+0800__CAM_FRONT__1531886095662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_LEFT__1531886095654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_RIGHT__1531886095670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-50-34+0800__CAM_BACK__1531886095687533.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-50-34+0800__CAM_BACK_LEFT__1531886095697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_BACK_RIGHT__1531886095677893.jpg"
    }
  },
  {
    "scene_token": "b79d940da8df43d09ee972c2414ffeca",
    "frame_token": "dae47bb946e8418eb0fea1267c1ba730",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant corruption? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly notice pedestrian wearing a white shirt at left camera. It is going ahead, so the ego vehicle should slow down and proceed. Secondly notice brown sedan car at right camera. It is stationary, so the ego vehicle should decelerate gradually until it comes to a stop. Thirdly notice blue car at back camera. It is stationary, so the ego vehicle should slow down and proceed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-50-34+0800__CAM_FRONT__1531886095662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_LEFT__1531886095654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_RIGHT__1531886095670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-50-34+0800__CAM_BACK__1531886095687533.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-50-34+0800__CAM_BACK_LEFT__1531886095697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_BACK_RIGHT__1531886095677893.jpg"
    }
  },
  {
    "scene_token": "b79d940da8df43d09ee972c2414ffeca",
    "frame_token": "dae47bb946e8418eb0fea1267c1ba730",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.8109,0.6741> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a blue car, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-50-34+0800__CAM_FRONT__1531886095662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_LEFT__1531886095654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_RIGHT__1531886095670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-50-34+0800__CAM_BACK__1531886095687533.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-50-34+0800__CAM_BACK_LEFT__1531886095697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_BACK_RIGHT__1531886095677893.jpg"
    }
  },
  {
    "scene_token": "b79d940da8df43d09ee972c2414ffeca",
    "frame_token": "dae47bb946e8418eb0fea1267c1ba730",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, accelerate and go ahead, slightly offset to the left, slightly offset to the right, change to the left lane, or change to the right lane.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-50-34+0800__CAM_FRONT__1531886095662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_LEFT__1531886095654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_RIGHT__1531886095670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-50-34+0800__CAM_BACK__1531886095687533.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-50-34+0800__CAM_BACK_LEFT__1531886095697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_BACK_RIGHT__1531886095677893.jpg"
    }
  },
  {
    "scene_token": "b79d940da8df43d09ee972c2414ffeca",
    "frame_token": "dae47bb946e8418eb0fea1267c1ba730",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.8109,0.6741> under colorquant corruption?",
    "answer": "Change to the left lane.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-50-34+0800__CAM_FRONT__1531886095662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_LEFT__1531886095654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_RIGHT__1531886095670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-50-34+0800__CAM_BACK__1531886095687533.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-50-34+0800__CAM_BACK_LEFT__1531886095697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_BACK_RIGHT__1531886095677893.jpg"
    }
  },
  {
    "scene_token": "b79d940da8df43d09ee972c2414ffeca",
    "frame_token": "dae47bb946e8418eb0fea1267c1ba730",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, causing a reduction in color depth and contrast. The scene includes a stationary blue car located at the back of the ego vehicle, a pedestrian wearing a white shirt moving ahead at the front left, and a stationary brown sedan car at the front right. The road appears less distinct due to the color quantization, and surrounding buildings and vegetation are visible but with reduced color clarity.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-50-34+0800__CAM_FRONT__1531886095662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_LEFT__1531886095654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_RIGHT__1531886095670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-50-34+0800__CAM_BACK__1531886095687533.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-50-34+0800__CAM_BACK_LEFT__1531886095697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_BACK_RIGHT__1531886095677893.jpg"
    }
  },
  {
    "scene_token": "e15260c4ed5b4505900d497ef92ddd2d",
    "frame_token": "7a639c70662c4321bfd748c47c25ca94",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. JPEG compression. B. H256 ABR compression. C. Bright. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297160012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297160004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297160020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297160037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297160047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297160028113.jpg"
    }
  },
  {
    "scene_token": "e15260c4ed5b4505900d497ef92ddd2d",
    "frame_token": "7a639c70662c4321bfd748c47c25ca94",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a silver car to the back right of the ego vehicle, a black SUV to the back of the ego vehicle, a silver sedan to the front right of the ego vehicle, a black car to the front left of the ego vehicle, and a green light to the front of the ego vehicle. The IDs of these objects are <c1,CAM_BACK_RIGHT,0.4146,0.7509>, <c2,CAM_BACK,0.3646,0.5833>, <c3,CAM_FRONT_RIGHT,0.2453,0.5963>, <c4,CAM_FRONT_LEFT,0.4609,0.5676>, and <c5,CAM_FRONT,0.6440,0.2957>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297160012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297160004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297160020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297160037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297160047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297160028113.jpg"
    }
  },
  {
    "scene_token": "e15260c4ed5b4505900d497ef92ddd2d",
    "frame_token": "7a639c70662c4321bfd748c47c25ca94",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK_RIGHT,0.4146,0.7509> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "A, Explanation: The object is a silver car moving ahead, and the colorquant corruption does not affect its status.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297160012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297160004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297160020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297160037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297160047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297160028113.jpg"
    }
  },
  {
    "scene_token": "e15260c4ed5b4505900d497ef92ddd2d",
    "frame_token": "7a639c70662c4321bfd748c47c25ca94",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK_RIGHT,0.4146,0.7509> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a silver car, not a traffic sign or road barrier, and the colorquant corruption does not change its category.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297160012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297160004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297160020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297160037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297160047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297160028113.jpg"
    }
  },
  {
    "scene_token": "e15260c4ed5b4505900d497ef92ddd2d",
    "frame_token": "7a639c70662c4321bfd748c47c25ca94",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK_RIGHT,0.4146,0.7509> under colorquant corruption?",
    "answer": "Sharp right turn.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297160012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297160004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297160020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297160037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297160047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297160028113.jpg"
    }
  },
  {
    "scene_token": "e15260c4ed5b4505900d497ef92ddd2d",
    "frame_token": "7a639c70662c4321bfd748c47c25ca94",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK_RIGHT,0.4146,0.7509> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is to avoid a collision, which has a high probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297160012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297160004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297160020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297160037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297160047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297160028113.jpg"
    }
  },
  {
    "scene_token": "e15260c4ed5b4505900d497ef92ddd2d",
    "frame_token": "7a639c70662c4321bfd748c47c25ca94",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is heavily affected by colorquant corruption, which alters the color representation of the environment. Despite this, key objects are identifiable: a silver car is moving to the back right (coordinates: 0.4146, 0.7509), a black SUV is moving behind the ego vehicle (coordinates: 0.3646, 0.5833), a stationary silver sedan is to the front right (coordinates: 0.2453, 0.5963), a stationary black car is to the front left (coordinates: 0.4609, 0.5676), and a green light is visible ahead (coordinates: 0.6440, 0.2957). The overall visibility is reduced, but the positions and statuses of these objects remain clear.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297160012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297160004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297160020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297160037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297160047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297160028113.jpg"
    }
  },
  {
    "scene_token": "0b8948ee96ac46faad405bf1ffc70bb1",
    "frame_token": "ec7523bf32734267bc88b41dac419cb0",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Bright. B. H256 ABR compression. C. Motion blur. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290785512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290785504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290785520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290785537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290785547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290785528113.jpg"
    }
  },
  {
    "scene_token": "0b8948ee96ac46faad405bf1ffc70bb1",
    "frame_token": "ec7523bf32734267bc88b41dac419cb0",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a silver sedan to the back right of the ego vehicle, a gray SUV to the front right of the ego vehicle, a gray SUV to the front left of the ego vehicle, and a white truck to the front of the ego vehicle. The IDs of these objects are <c1,CAM_BACK_RIGHT,0.8094,0.7398>, <c2,CAM_FRONT_RIGHT,0.3442,0.5444>, <c3,CAM_FRONT_LEFT,0.4995,0.5658>, and <c4,CAM_FRONT,0.6901,0.4074>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290785512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290785504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290785520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290785537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290785547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290785528113.jpg"
    }
  },
  {
    "scene_token": "0b8948ee96ac46faad405bf1ffc70bb1",
    "frame_token": "ec7523bf32734267bc88b41dac419cb0",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_FRONT_RIGHT,0.3442,0.5444> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "B, Explanation: The object is a gray SUV moving ahead.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290785512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290785504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290785520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290785537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290785547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290785528113.jpg"
    }
  },
  {
    "scene_token": "0b8948ee96ac46faad405bf1ffc70bb1",
    "frame_token": "ec7523bf32734267bc88b41dac419cb0",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK_RIGHT,0.8094,0.7398> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a silver sedan, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290785512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290785504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290785520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290785537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290785547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290785528113.jpg"
    }
  },
  {
    "scene_token": "0b8948ee96ac46faad405bf1ffc70bb1",
    "frame_token": "ec7523bf32734267bc88b41dac419cb0",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c2,CAM_FRONT_RIGHT,0.3442,0.5444> under colorquant corruption?",
    "answer": "Accelerating and going straight.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290785512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290785504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290785520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290785537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290785547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290785528113.jpg"
    }
  },
  {
    "scene_token": "0b8948ee96ac46faad405bf1ffc70bb1",
    "frame_token": "ec7523bf32734267bc88b41dac419cb0",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Turn right, slightly offset to the right.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290785512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290785504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290785520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290785537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290785547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290785528113.jpg"
    }
  },
  {
    "scene_token": "0b8948ee96ac46faad405bf1ffc70bb1",
    "frame_token": "ec7523bf32734267bc88b41dac419cb0",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which reduces the color depth and makes the environment appear with limited color variations. A silver sedan is stationary at the back right of the ego vehicle, located at coordinates <c1,CAM_BACK_RIGHT,0.8094,0.7398>. A gray SUV is moving at the front right, positioned at <c2,CAM_FRONT_RIGHT,0.3442,0.5444>. Another gray SUV is moving at the front left, at <c3,CAM_FRONT_LEFT,0.4995,0.5658>. A white truck is moving directly in front of the ego vehicle, at <c4,CAM_FRONT,0.6901,0.4074>. The overall visibility is reduced, making it challenging to distinguish between objects and their surroundings.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290785512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290785504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290785520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290785537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290785547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290785528113.jpg"
    }
  },
  {
    "scene_token": "53c92676ef334011bd4689494ac11fa0",
    "frame_token": "971f7df7e4f64081a7b22089a8532caf",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Bit error. B. H256 ABR compression. C. Color quant. D. Zoom blur",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-26-12-13-50-0400__CAM_FRONT__1532621793612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_LEFT__1532621793604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_RIGHT__1532621793620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-26-12-13-50-0400__CAM_BACK__1532621793637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-26-12-13-50-0400__CAM_BACK_LEFT__1532621793647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_BACK_RIGHT__1532621793628113.jpg"
    }
  },
  {
    "scene_token": "53c92676ef334011bd4689494ac11fa0",
    "frame_token": "971f7df7e4f64081a7b22089a8532caf",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_FRONT_LEFT,0.8942,0.5908> under color quantization corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "A, Explanation: The object is a pedestrian moving ahead, and the color quantization does not affect its status.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-26-12-13-50-0400__CAM_FRONT__1532621793612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_LEFT__1532621793604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_RIGHT__1532621793620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-26-12-13-50-0400__CAM_BACK__1532621793637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-26-12-13-50-0400__CAM_BACK_LEFT__1532621793647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_BACK_RIGHT__1532621793628113.jpg"
    }
  },
  {
    "scene_token": "53c92676ef334011bd4689494ac11fa0",
    "frame_token": "971f7df7e4f64081a7b22089a8532caf",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under color quantization corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a motorcycle to the front left of the ego vehicle, pedestrians crossing the road to the front left of the ego vehicle, and a black sedan to the back of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_LEFT,0.5917,0.6009>, <c2,CAM_FRONT_LEFT,0.8942,0.5908>, and <c3,CAM_BACK,0.4309,0.6047>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-26-12-13-50-0400__CAM_FRONT__1532621793612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_LEFT__1532621793604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_RIGHT__1532621793620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-26-12-13-50-0400__CAM_BACK__1532621793637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-26-12-13-50-0400__CAM_BACK_LEFT__1532621793647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_BACK_RIGHT__1532621793628113.jpg"
    }
  },
  {
    "scene_token": "53c92676ef334011bd4689494ac11fa0",
    "frame_token": "971f7df7e4f64081a7b22089a8532caf",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under color quantization corruption? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice pedestrians crossing the road at left camera. It is going ahead, so the ego vehicle should keep going ahead at the same speed. Secondly, notice black sedan at back camera. It is turning right, so the ego vehicle should keep going ahead at the same speed. Thirdly, notice motorcycle at left camera. It is stationary, so the ego vehicle should keep going ahead at the same speed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-26-12-13-50-0400__CAM_FRONT__1532621793612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_LEFT__1532621793604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_RIGHT__1532621793620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-26-12-13-50-0400__CAM_BACK__1532621793637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-26-12-13-50-0400__CAM_BACK_LEFT__1532621793647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_BACK_RIGHT__1532621793628113.jpg"
    }
  },
  {
    "scene_token": "53c92676ef334011bd4689494ac11fa0",
    "frame_token": "971f7df7e4f64081a7b22089a8532caf",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_LEFT,0.5917,0.6009> a traffic sign or a road barrier under color quantization corruption?",
    "answer": "No, Explanation: The object is a stationary motorcycle, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-26-12-13-50-0400__CAM_FRONT__1532621793612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_LEFT__1532621793604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_RIGHT__1532621793620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-26-12-13-50-0400__CAM_BACK__1532621793637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-26-12-13-50-0400__CAM_BACK_LEFT__1532621793647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_BACK_RIGHT__1532621793628113.jpg"
    }
  },
  {
    "scene_token": "53c92676ef334011bd4689494ac11fa0",
    "frame_token": "971f7df7e4f64081a7b22089a8532caf",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT_LEFT,0.5917,0.6009> under color quantization corruption?",
    "answer": "Slight left turn.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-26-12-13-50-0400__CAM_FRONT__1532621793612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_LEFT__1532621793604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_RIGHT__1532621793620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-26-12-13-50-0400__CAM_BACK__1532621793637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-26-12-13-50-0400__CAM_BACK_LEFT__1532621793647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_BACK_RIGHT__1532621793628113.jpg"
    }
  },
  {
    "scene_token": "53c92676ef334011bd4689494ac11fa0",
    "frame_token": "971f7df7e4f64081a7b22089a8532caf",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT_LEFT,0.5917,0.6009> under color quantization corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that the object has little reference value for the ego vehicle, and the probability is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-26-12-13-50-0400__CAM_FRONT__1532621793612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_LEFT__1532621793604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_RIGHT__1532621793620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-26-12-13-50-0400__CAM_BACK__1532621793637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-26-12-13-50-0400__CAM_BACK_LEFT__1532621793647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_BACK_RIGHT__1532621793628113.jpg"
    }
  },
  {
    "scene_token": "53c92676ef334011bd4689494ac11fa0",
    "frame_token": "971f7df7e4f64081a7b22089a8532caf",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization corruption. Include both general description and key objects and their positions.",
    "answer": "The environment appears dark and lacks color detail due to color quantization corruption. To the front left, there is a stationary motorcycle at coordinates <c1,CAM_FRONT_LEFT,0.5917,0.6009>. Pedestrians are crossing the road at coordinates <c2,CAM_FRONT_LEFT,0.8942,0.5908>, moving ahead. Behind the ego vehicle, a black sedan is moving at coordinates <c3,CAM_BACK,0.4309,0.6047>. The scene is challenging to interpret due to the reduced color palette, but key objects remain identifiable.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-26-12-13-50-0400__CAM_FRONT__1532621793612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_LEFT__1532621793604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_RIGHT__1532621793620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-26-12-13-50-0400__CAM_BACK__1532621793637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-26-12-13-50-0400__CAM_BACK_LEFT__1532621793647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_BACK_RIGHT__1532621793628113.jpg"
    }
  },
  {
    "scene_token": "c133e78e55ae487c821803a3b183d1ab",
    "frame_token": "ecd7b29ba9644fc99af37fac3d5fa691",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Dark. B. Color quant. C. JPEG compression. D. Snow",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535573085362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535573085354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535573085370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535573085387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535573085397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535573085378113.jpg"
    }
  },
  {
    "scene_token": "c133e78e55ae487c821803a3b183d1ab",
    "frame_token": "ecd7b29ba9644fc99af37fac3d5fa691",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_BACK,0.5443,0.5639> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "B, Explanation: The object is a gray car moving ahead, and the colorquant corruption does not affect its movement direction.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535573085362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535573085354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535573085370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535573085387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535573085397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535573085378113.jpg"
    }
  },
  {
    "scene_token": "c133e78e55ae487c821803a3b183d1ab",
    "frame_token": "ecd7b29ba9644fc99af37fac3d5fa691",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black small car to the front of the ego vehicle, a gray car to the back of the ego vehicle, and a yellow traffic sign to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.3401,0.5611>, <c2,CAM_BACK,0.5443,0.5639>, and <c3,CAM_FRONT,0.5927,0.5224>. The colorquant corruption does not change the presence or importance of these objects.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535573085362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535573085354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535573085370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535573085387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535573085397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535573085378113.jpg"
    }
  },
  {
    "scene_token": "c133e78e55ae487c821803a3b183d1ab",
    "frame_token": "ecd7b29ba9644fc99af37fac3d5fa691",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant corruption? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice yellow traffic sign at front camera. The object is a traffic sign, so the ego vehicle should slow down and continue ahead. Secondly, notice black small car at front camera. The object is stationary, so the ego vehicle should continue ahead at the same speed. Thirdly, notice gray car at back camera. The object is moving ahead, so the ego vehicle should continue ahead at the same speed. The colorquant corruption does not affect the order of noticing these objects.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535573085362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535573085354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535573085370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535573085387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535573085397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535573085378113.jpg"
    }
  },
  {
    "scene_token": "c133e78e55ae487c821803a3b183d1ab",
    "frame_token": "ecd7b29ba9644fc99af37fac3d5fa691",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.3401,0.5611> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a black small car, and the colorquant corruption does not change its identity.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535573085362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535573085354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535573085370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535573085387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535573085397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535573085378113.jpg"
    }
  },
  {
    "scene_token": "c133e78e55ae487c821803a3b183d1ab",
    "frame_token": "ecd7b29ba9644fc99af37fac3d5fa691",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, decelerate gradually without braking. The colorquant corruption does not affect the safety of these actions.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535573085362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535573085354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535573085370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535573085387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535573085397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535573085378113.jpg"
    }
  },
  {
    "scene_token": "c133e78e55ae487c821803a3b183d1ab",
    "frame_token": "ecd7b29ba9644fc99af37fac3d5fa691",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle under colorquant corruption can lead to a collision with <c1,CAM_FRONT,0.3401,0.5611>?",
    "answer": "No such action will lead to a collision. The colorquant corruption does not change the collision risk.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535573085362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535573085354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535573085370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535573085387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535573085397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535573085378113.jpg"
    }
  },
  {
    "scene_token": "c133e78e55ae487c821803a3b183d1ab",
    "frame_token": "ecd7b29ba9644fc99af37fac3d5fa691",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which alters the color palette, making it challenging to distinguish between objects based solely on color. The road ahead is visible with a black small car stationary at the front, located at coordinates <c1,CAM_FRONT,0.3401,0.5611>. A gray car is moving behind the ego vehicle at coordinates <c2,CAM_BACK,0.5443,0.5639>. A yellow traffic sign is positioned at the front, at coordinates <c3,CAM_FRONT,0.5927,0.5224>. Despite the color distortion, the shapes and positions of these objects remain discernible.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535573085362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535573085354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535573085370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535573085387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535573085397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535573085378113.jpg"
    }
  },
  {
    "scene_token": "c133e78e55ae487c821803a3b183d1ab",
    "frame_token": "5d2eec2186424ee8b74faf32540a12a6",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. JPEG compression. B. Zoom blur. C. Fog. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535573088912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535573088904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535573088920491.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535573088937991.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535573088947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535573088928113.jpg"
    }
  },
  {
    "scene_token": "c133e78e55ae487c821803a3b183d1ab",
    "frame_token": "5d2eec2186424ee8b74faf32540a12a6",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene considering the color quantization effect? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black business car to the front left of the ego vehicle, a silver-gray sedan to the back of the ego vehicle, and a yellow sign to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_LEFT,0.8286,0.5852>, <c2,CAM_BACK,0.5401,0.5574>, and <c3,CAM_FRONT,0.6292,0.4913>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535573088912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535573088904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535573088920491.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535573088937991.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535573088947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535573088928113.jpg"
    }
  },
  {
    "scene_token": "c133e78e55ae487c821803a3b183d1ab",
    "frame_token": "5d2eec2186424ee8b74faf32540a12a6",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_BACK,0.5401,0.5574> under color quantization? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "B, Explanation: The object is a silver-gray sedan moving ahead.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535573088912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535573088904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535573088920491.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535573088937991.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535573088947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535573088928113.jpg"
    }
  },
  {
    "scene_token": "c133e78e55ae487c821803a3b183d1ab",
    "frame_token": "5d2eec2186424ee8b74faf32540a12a6",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_LEFT,0.8286,0.5852> a traffic sign or a road barrier considering the color quantization effect?",
    "answer": "No, Explanation: The object is a black business car, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535573088912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535573088904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535573088920491.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535573088937991.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535573088947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535573088928113.jpg"
    }
  },
  {
    "scene_token": "c133e78e55ae487c821803a3b183d1ab",
    "frame_token": "5d2eec2186424ee8b74faf32540a12a6",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under color quantization? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice yellow sign at front camera. The object is a traffic sign and the ego vehicle should continue ahead at the same speed. Secondly, notice black business car at left camera. The object is stationary and the ego vehicle should continue ahead at the same speed. Thirdly, notice silver-gray sedan at back camera. The object is moving ahead and the ego vehicle should continue ahead at the same speed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535573088912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535573088904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535573088920491.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535573088937991.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535573088947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535573088928113.jpg"
    }
  },
  {
    "scene_token": "c133e78e55ae487c821803a3b183d1ab",
    "frame_token": "5d2eec2186424ee8b74faf32540a12a6",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT_LEFT,0.8286,0.5852> under color quantization?",
    "answer": "Moderate left turn.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535573088912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535573088904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535573088920491.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535573088937991.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535573088947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535573088928113.jpg"
    }
  },
  {
    "scene_token": "c133e78e55ae487c821803a3b183d1ab",
    "frame_token": "5d2eec2186424ee8b74faf32540a12a6",
    "question_type": "robust_qas",
    "question": "In this scenario with color quantization, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, decelerate gradually without braking.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535573088912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535573088904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535573088920491.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535573088937991.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535573088947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535573088928113.jpg"
    }
  },
  {
    "scene_token": "c133e78e55ae487c821803a3b183d1ab",
    "frame_token": "5d2eec2186424ee8b74faf32540a12a6",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by color quantization, which reduces the color detail and makes it challenging to distinguish objects. To the front left, there is a stationary black business car (<c1,CAM_FRONT_LEFT,0.8286,0.5852>). Directly behind, a silver-gray sedan is moving forward (<c2,CAM_BACK,0.5401,0.5574>). Ahead, a yellow traffic sign is visible (<c3,CAM_FRONT,0.6292,0.4913>). The road appears less detailed, and the surrounding environment is harder to interpret due to the limited color palette.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535573088912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535573088904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535573088920491.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535573088937991.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535573088947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535573088928113.jpg"
    }
  },
  {
    "scene_token": "fbf27198b3424e28ab1de2a12eb3dc4a",
    "frame_token": "f00c919a5e07495c927062d083fbdd2d",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Zoom blur. B. H256 ABR compression. C. Snow. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-01-15-52-19-0400__CAM_FRONT__1533153647412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_LEFT__1533153647404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_RIGHT__1533153647420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-01-15-52-19-0400__CAM_BACK__1533153647437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-01-15-52-19-0400__CAM_BACK_LEFT__1533153647447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_BACK_RIGHT__1533153647428113.jpg"
    }
  },
  {
    "scene_token": "fbf27198b3424e28ab1de2a12eb3dc4a",
    "frame_token": "f00c919a5e07495c927062d083fbdd2d",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a person wearing a white shirt to the front of the ego vehicle, a white car to the back left of the ego vehicle, a white car to the front right of the ego vehicle, a person wearing a red shirt to the front of the ego vehicle, and a yellow traffic sign to the back right of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.6370,0.5898>, <c2,CAM_BACK_LEFT,0.7391,0.5528>, <c3,CAM_FRONT_RIGHT,0.4422,0.5564>, <c4,CAM_FRONT,0.5516,0.5908>, and <c5,CAM_BACK_RIGHT,0.4523,0.5026>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-01-15-52-19-0400__CAM_FRONT__1533153647412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_LEFT__1533153647404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_RIGHT__1533153647420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-01-15-52-19-0400__CAM_BACK__1533153647437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-01-15-52-19-0400__CAM_BACK_LEFT__1533153647447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_BACK_RIGHT__1533153647428113.jpg"
    }
  },
  {
    "scene_token": "fbf27198b3424e28ab1de2a12eb3dc4a",
    "frame_token": "f00c919a5e07495c927062d083fbdd2d",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_BACK_LEFT,0.7391,0.5528> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "B, Explanation: The object is a white car that is moving ahead.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-01-15-52-19-0400__CAM_FRONT__1533153647412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_LEFT__1533153647404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_RIGHT__1533153647420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-01-15-52-19-0400__CAM_BACK__1533153647437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-01-15-52-19-0400__CAM_BACK_LEFT__1533153647447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_BACK_RIGHT__1533153647428113.jpg"
    }
  },
  {
    "scene_token": "fbf27198b3424e28ab1de2a12eb3dc4a",
    "frame_token": "f00c919a5e07495c927062d083fbdd2d",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.6370,0.5898> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a stationary pedestrian wearing a white shirt.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-01-15-52-19-0400__CAM_FRONT__1533153647412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_LEFT__1533153647404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_RIGHT__1533153647420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-01-15-52-19-0400__CAM_BACK__1533153647437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-01-15-52-19-0400__CAM_BACK_LEFT__1533153647447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_BACK_RIGHT__1533153647428113.jpg"
    }
  },
  {
    "scene_token": "fbf27198b3424e28ab1de2a12eb3dc4a",
    "frame_token": "f00c919a5e07495c927062d083fbdd2d",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Turn right, decelerate gradually without braking, are safe actions to take for the ego vehicle in this scenario.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-01-15-52-19-0400__CAM_FRONT__1533153647412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_LEFT__1533153647404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_RIGHT__1533153647420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-01-15-52-19-0400__CAM_BACK__1533153647437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-01-15-52-19-0400__CAM_BACK_LEFT__1533153647447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_BACK_RIGHT__1533153647428113.jpg"
    }
  },
  {
    "scene_token": "fbf27198b3424e28ab1de2a12eb3dc4a",
    "frame_token": "f00c919a5e07495c927062d083fbdd2d",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.6370,0.5898> under colorquant corruption?",
    "answer": "Accelerating and going straight.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-01-15-52-19-0400__CAM_FRONT__1533153647412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_LEFT__1533153647404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_RIGHT__1533153647420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-01-15-52-19-0400__CAM_BACK__1533153647437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-01-15-52-19-0400__CAM_BACK_LEFT__1533153647447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_BACK_RIGHT__1533153647428113.jpg"
    }
  },
  {
    "scene_token": "fbf27198b3424e28ab1de2a12eb3dc4a",
    "frame_token": "f00c919a5e07495c927062d083fbdd2d",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, which alters the color representation of the scene. To the front of the ego vehicle, there is a stationary pedestrian wearing a white shirt at coordinates <c1,CAM_FRONT,0.6370,0.5898>. A moving white car is located to the back left at <c2,CAM_BACK_LEFT,0.7391,0.5528>, and another moving white car is to the front right at <c3,CAM_FRONT_RIGHT,0.4422,0.5564>. Additionally, there is a stationary pedestrian wearing a red shirt to the front at <c4,CAM_FRONT,0.5516,0.5908>, and a yellow traffic sign is positioned to the back right at <c5,CAM_BACK_RIGHT,0.4523,0.5026>. The overall visibility is reduced due to the color distortion, making it challenging to distinguish between different objects and their statuses.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-01-15-52-19-0400__CAM_FRONT__1533153647412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_LEFT__1533153647404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_RIGHT__1533153647420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-01-15-52-19-0400__CAM_BACK__1533153647437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-01-15-52-19-0400__CAM_BACK_LEFT__1533153647447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_BACK_RIGHT__1533153647428113.jpg"
    }
  },
  {
    "scene_token": "53d4c9a634df4fdfadf057d3a216e98f",
    "frame_token": "f4daf8fc833849bd8f1bf0b729621cd2",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Rain. B. Saturate. C. Dark. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535488201762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535488201754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535488201770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535488201787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535488201797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535488201778113.jpg"
    }
  },
  {
    "scene_token": "53d4c9a634df4fdfadf057d3a216e98f",
    "frame_token": "f4daf8fc833849bd8f1bf0b729621cd2",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a pedestrian wearing black pants to the back right of the ego vehicle, a silver SUV to the back of the ego vehicle, a black sedan to the front left of the ego vehicle, a pedestrian wearing a white shirt to the front of the ego vehicle, a black car to the front of the ego vehicle, and a pedestrian with an orange shirt to the front right of the ego vehicle. The IDs of these objects are <c1,CAM_BACK_RIGHT,0.1755,0.6472>, <c2,CAM_BACK,0.5036,0.6186>, <c3,CAM_FRONT_LEFT,0.4573,0.6908>, <c4,CAM_FRONT,0.8854,0.5953>, <c5,CAM_FRONT,0.4683,0.5602>, and <c6,CAM_FRONT_RIGHT,0.2005,0.6417>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535488201762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535488201754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535488201770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535488201787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535488201797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535488201778113.jpg"
    }
  },
  {
    "scene_token": "53d4c9a634df4fdfadf057d3a216e98f",
    "frame_token": "f4daf8fc833849bd8f1bf0b729621cd2",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK_RIGHT,0.1755,0.6472> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "A, Explanation: The object is a pedestrian wearing black pants and is moving, which indicates it is going ahead.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535488201762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535488201754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535488201770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535488201787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535488201797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535488201778113.jpg"
    }
  },
  {
    "scene_token": "53d4c9a634df4fdfadf057d3a216e98f",
    "frame_token": "f4daf8fc833849bd8f1bf0b729621cd2",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK_RIGHT,0.1755,0.6472> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a pedestrian wearing black pants, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535488201762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535488201754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535488201770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535488201787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535488201797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535488201778113.jpg"
    }
  },
  {
    "scene_token": "53d4c9a634df4fdfadf057d3a216e98f",
    "frame_token": "f4daf8fc833849bd8f1bf0b729621cd2",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, and decelerate gradually without braking.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535488201762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535488201754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535488201770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535488201787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535488201797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535488201778113.jpg"
    }
  },
  {
    "scene_token": "53d4c9a634df4fdfadf057d3a216e98f",
    "frame_token": "f4daf8fc833849bd8f1bf0b729621cd2",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK_RIGHT,0.1755,0.6472> under colorquant corruption?",
    "answer": "No such action will lead to a collision.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535488201762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535488201754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535488201770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535488201787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535488201797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535488201778113.jpg"
    }
  },
  {
    "scene_token": "53d4c9a634df4fdfadf057d3a216e98f",
    "frame_token": "f4daf8fc833849bd8f1bf0b729621cd2",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is urban with tall buildings surrounding the road. Due to colorquant corruption, the scene appears with reduced color depth, making it challenging to distinguish details. Key objects include a pedestrian wearing black pants at the back right (0.1755, 0.6472), a stationary silver SUV at the back (0.5036, 0.6186), a moving black sedan at the front left (0.4573, 0.6908), a stationary pedestrian in a white shirt at the front (0.8854, 0.5953), a moving black car at the front (0.4683, 0.5602), and a stationary pedestrian in an orange shirt at the front right (0.2005, 0.6417).",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535488201762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535488201754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535488201770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535488201787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535488201797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535488201778113.jpg"
    }
  },
  {
    "scene_token": "d4c5db6faa9f443795ad86561e9e556e",
    "frame_token": "6e06cb03afab4d1eb30b3e0d8eb4d19e",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. JPEG compression. C. Snow. D. Saturate",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-41-50-0400__CAM_FRONT__1537293297762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_LEFT__1537293297754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_RIGHT__1537293297770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-41-50-0400__CAM_BACK__1537293297787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-41-50-0400__CAM_BACK_LEFT__1537293297797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_BACK_RIGHT__1537293297778113.jpg"
    }
  },
  {
    "scene_token": "d4c5db6faa9f443795ad86561e9e556e",
    "frame_token": "6e06cb03afab4d1eb30b3e0d8eb4d19e",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a dark green truck to the back of the ego vehicle, a pedestrian to the back left of the ego vehicle, a white truck to the front of the ego vehicle, and a sanitation worker to the front of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.7177,0.5806>, <c2,CAM_BACK_LEFT,0.5031,0.5694>, <c3,CAM_FRONT,0.7052,0.4917>, and <c4,CAM_FRONT,0.2620,0.5426>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-41-50-0400__CAM_FRONT__1537293297762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_LEFT__1537293297754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_RIGHT__1537293297770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-41-50-0400__CAM_BACK__1537293297787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-41-50-0400__CAM_BACK_LEFT__1537293297797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_BACK_RIGHT__1537293297778113.jpg"
    }
  },
  {
    "scene_token": "d4c5db6faa9f443795ad86561e9e556e",
    "frame_token": "6e06cb03afab4d1eb30b3e0d8eb4d19e",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_BACK_LEFT,0.5031,0.5694> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "A, Explanation: The object is a pedestrian moving ahead, and the colorquant corruption does not affect its movement status.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-41-50-0400__CAM_FRONT__1537293297762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_LEFT__1537293297754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_RIGHT__1537293297770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-41-50-0400__CAM_BACK__1537293297787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-41-50-0400__CAM_BACK_LEFT__1537293297797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_BACK_RIGHT__1537293297778113.jpg"
    }
  },
  {
    "scene_token": "d4c5db6faa9f443795ad86561e9e556e",
    "frame_token": "6e06cb03afab4d1eb30b3e0d8eb4d19e",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.7177,0.5806> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a dark green truck, and the colorquant corruption does not change its category.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-41-50-0400__CAM_FRONT__1537293297762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_LEFT__1537293297754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_RIGHT__1537293297770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-41-50-0400__CAM_BACK__1537293297787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-41-50-0400__CAM_BACK_LEFT__1537293297797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_BACK_RIGHT__1537293297778113.jpg"
    }
  },
  {
    "scene_token": "d4c5db6faa9f443795ad86561e9e556e",
    "frame_token": "6e06cb03afab4d1eb30b3e0d8eb4d19e",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK,0.7177,0.5806> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is to avoid a collision, which is high in probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-41-50-0400__CAM_FRONT__1537293297762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_LEFT__1537293297754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_RIGHT__1537293297770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-41-50-0400__CAM_BACK__1537293297787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-41-50-0400__CAM_BACK_LEFT__1537293297797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_BACK_RIGHT__1537293297778113.jpg"
    }
  },
  {
    "scene_token": "d4c5db6faa9f443795ad86561e9e556e",
    "frame_token": "6e06cb03afab4d1eb30b3e0d8eb4d19e",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, decelerate gradually without braking.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-41-50-0400__CAM_FRONT__1537293297762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_LEFT__1537293297754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_RIGHT__1537293297770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-41-50-0400__CAM_BACK__1537293297787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-41-50-0400__CAM_BACK_LEFT__1537293297797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_BACK_RIGHT__1537293297778113.jpg"
    }
  },
  {
    "scene_token": "d4c5db6faa9f443795ad86561e9e556e",
    "frame_token": "6e06cb03afab4d1eb30b3e0d8eb4d19e",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, which reduces the color depth and makes the scene appear with limited color variations. Key objects include a dark green truck located at the back of the ego vehicle (<c1,CAM_BACK,0.7177,0.5806>), a moving pedestrian to the back left (<c2,CAM_BACK_LEFT,0.5031,0.5694>), a stationary white truck in front (<c3,CAM_FRONT,0.7052,0.4917>), and a stationary sanitation worker also in front (<c4,CAM_FRONT,0.2620,0.5426>). Despite the color limitations, the positions and statuses of these objects remain identifiable.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-41-50-0400__CAM_FRONT__1537293297762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_LEFT__1537293297754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_RIGHT__1537293297770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-41-50-0400__CAM_BACK__1537293297787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-41-50-0400__CAM_BACK_LEFT__1537293297797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_BACK_RIGHT__1537293297778113.jpg"
    }
  },
  {
    "scene_token": "6d4b2bd795ae4c66900ad98ccd2371a6",
    "frame_token": "f589ce80644d46c0ab3c6e764321d5ef",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. H256 ABR compression. B. JPEG compression. C. Color quant. D. Bit error",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-13-19+0800__CAM_FRONT__1532402419012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_LEFT__1532402419004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_RIGHT__1532402419020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-13-19+0800__CAM_BACK__1532402419037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-13-19+0800__CAM_BACK_LEFT__1532402419047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_BACK_RIGHT__1532402419027893.jpg"
    }
  },
  {
    "scene_token": "6d4b2bd795ae4c66900ad98ccd2371a6",
    "frame_token": "f589ce80644d46c0ab3c6e764321d5ef",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.5792,0.6213> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "B, Explanation: The object is a blue and white car moving ahead despite the colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-13-19+0800__CAM_FRONT__1532402419012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_LEFT__1532402419004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_RIGHT__1532402419020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-13-19+0800__CAM_BACK__1532402419037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-13-19+0800__CAM_BACK_LEFT__1532402419047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_BACK_RIGHT__1532402419027893.jpg"
    }
  },
  {
    "scene_token": "6d4b2bd795ae4c66900ad98ccd2371a6",
    "frame_token": "f589ce80644d46c0ab3c6e764321d5ef",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a blue and white car to the front of the ego vehicle, a blue truck to the back of the ego vehicle, a white commercial vehicle to the front right of the ego vehicle, a pedestrian holding a black umbrella to the front left of the ego vehicle, a traffic light with green light on to the front of the ego vehicle, and a traffic light with green light on to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.5792,0.6213>, <c2,CAM_BACK,0.4125,0.5231>, <c3,CAM_FRONT_RIGHT,0.4349,0.7661>, <c4,CAM_FRONT_LEFT,0.6239,0.5991>, <c5,CAM_FRONT,0.6933,0.4310>, and <c6,CAM_FRONT,0.4500,0.4412>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-13-19+0800__CAM_FRONT__1532402419012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_LEFT__1532402419004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_RIGHT__1532402419020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-13-19+0800__CAM_BACK__1532402419037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-13-19+0800__CAM_BACK_LEFT__1532402419047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_BACK_RIGHT__1532402419027893.jpg"
    }
  },
  {
    "scene_token": "6d4b2bd795ae4c66900ad98ccd2371a6",
    "frame_token": "f589ce80644d46c0ab3c6e764321d5ef",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.5792,0.6213> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a blue and white car, not a traffic sign or road barrier, even under colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-13-19+0800__CAM_FRONT__1532402419012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_LEFT__1532402419004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_RIGHT__1532402419020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-13-19+0800__CAM_BACK__1532402419037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-13-19+0800__CAM_BACK_LEFT__1532402419047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_BACK_RIGHT__1532402419027893.jpg"
    }
  },
  {
    "scene_token": "6d4b2bd795ae4c66900ad98ccd2371a6",
    "frame_token": "f589ce80644d46c0ab3c6e764321d5ef",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.5792,0.6213> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is to avoid a collision, which is high in probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-13-19+0800__CAM_FRONT__1532402419012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_LEFT__1532402419004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_RIGHT__1532402419020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-13-19+0800__CAM_BACK__1532402419037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-13-19+0800__CAM_BACK_LEFT__1532402419047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_BACK_RIGHT__1532402419027893.jpg"
    }
  },
  {
    "scene_token": "6d4b2bd795ae4c66900ad98ccd2371a6",
    "frame_token": "f589ce80644d46c0ab3c6e764321d5ef",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.5792,0.6213> under colorquant corruption?",
    "answer": "Accelerating and going straight.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-13-19+0800__CAM_FRONT__1532402419012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_LEFT__1532402419004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_RIGHT__1532402419020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-13-19+0800__CAM_BACK__1532402419037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-13-19+0800__CAM_BACK_LEFT__1532402419047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_BACK_RIGHT__1532402419027893.jpg"
    }
  },
  {
    "scene_token": "6d4b2bd795ae4c66900ad98ccd2371a6",
    "frame_token": "f589ce80644d46c0ab3c6e764321d5ef",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which alters the color representation, making it challenging to distinguish objects. A blue and white car is moving ahead at coordinates <c1,CAM_FRONT,0.5792,0.6213>. Behind the ego vehicle, a blue truck is moving at <c2,CAM_BACK,0.4125,0.5231>. To the front right, a white commercial vehicle is moving at <c3,CAM_FRONT_RIGHT,0.4349,0.7661>. A pedestrian holding a black umbrella is moving to the front left at <c4,CAM_FRONT_LEFT,0.6239,0.5991>. Two traffic lights with green lights on are located at <c5,CAM_FRONT,0.6933,0.4310> and <c6,CAM_FRONT,0.4500,0.4412>, indicating that the ego vehicle can proceed.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-13-19+0800__CAM_FRONT__1532402419012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_LEFT__1532402419004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_RIGHT__1532402419020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-13-19+0800__CAM_BACK__1532402419037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-13-19+0800__CAM_BACK_LEFT__1532402419047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_BACK_RIGHT__1532402419027893.jpg"
    }
  },
  {
    "scene_token": "8b60e7e47cde43e0a7fbd66d926de14f",
    "frame_token": "04b08aa7a863458aa2eeccc86d5e3569",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Bright. B. Zoom blur. C. H256 ABR compression. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-53-31-0400__CAM_FRONT__1537290165912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_LEFT__1537290165904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_RIGHT__1537290165920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-53-31-0400__CAM_BACK__1537290165937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-53-31-0400__CAM_BACK_LEFT__1537290165947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_BACK_RIGHT__1537290165928113.jpg"
    }
  },
  {
    "scene_token": "8b60e7e47cde43e0a7fbd66d926de14f",
    "frame_token": "04b08aa7a863458aa2eeccc86d5e3569",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white SUV to the front of the ego vehicle, a black sedan to the back of the ego vehicle, a white sedan to the front of the ego vehicle, a white sedan to the front of the ego vehicle, and a green light to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.5031,0.5310>, <c2,CAM_BACK,0.6828,0.6648>, <c3,CAM_FRONT,0.2297,0.5658>, <c4,CAM_FRONT,0.5552,0.5491>, and <c5,CAM_FRONT,0.6502,0.4530>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-53-31-0400__CAM_FRONT__1537290165912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_LEFT__1537290165904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_RIGHT__1537290165920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-53-31-0400__CAM_BACK__1537290165937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-53-31-0400__CAM_BACK_LEFT__1537290165947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_BACK_RIGHT__1537290165928113.jpg"
    }
  },
  {
    "scene_token": "8b60e7e47cde43e0a7fbd66d926de14f",
    "frame_token": "04b08aa7a863458aa2eeccc86d5e3569",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.5031,0.5310> under colorquant corruption? Please select the correct answer from the following options: A. Turn right. B. Going ahead. C. Turn left.",
    "answer": "B, Explanation: The object is a white SUV moving ahead.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-53-31-0400__CAM_FRONT__1537290165912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_LEFT__1537290165904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_RIGHT__1537290165920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-53-31-0400__CAM_BACK__1537290165937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-53-31-0400__CAM_BACK_LEFT__1537290165947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_BACK_RIGHT__1537290165928113.jpg"
    }
  },
  {
    "scene_token": "8b60e7e47cde43e0a7fbd66d926de14f",
    "frame_token": "04b08aa7a863458aa2eeccc86d5e3569",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.5031,0.5310> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a white SUV, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-53-31-0400__CAM_FRONT__1537290165912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_LEFT__1537290165904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_RIGHT__1537290165920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-53-31-0400__CAM_BACK__1537290165937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-53-31-0400__CAM_BACK_LEFT__1537290165947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_BACK_RIGHT__1537290165928113.jpg"
    }
  },
  {
    "scene_token": "8b60e7e47cde43e0a7fbd66d926de14f",
    "frame_token": "04b08aa7a863458aa2eeccc86d5e3569",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.5031,0.5310> under colorquant corruption?",
    "answer": "No such action will lead to a collision.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-53-31-0400__CAM_FRONT__1537290165912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_LEFT__1537290165904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_RIGHT__1537290165920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-53-31-0400__CAM_BACK__1537290165937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-53-31-0400__CAM_BACK_LEFT__1537290165947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_BACK_RIGHT__1537290165928113.jpg"
    }
  },
  {
    "scene_token": "8b60e7e47cde43e0a7fbd66d926de14f",
    "frame_token": "04b08aa7a863458aa2eeccc86d5e3569",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, slightly offset to the left, and slightly offset to the right.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-53-31-0400__CAM_FRONT__1537290165912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_LEFT__1537290165904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_RIGHT__1537290165920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-53-31-0400__CAM_BACK__1537290165937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-53-31-0400__CAM_BACK_LEFT__1537290165947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_BACK_RIGHT__1537290165928113.jpg"
    }
  },
  {
    "scene_token": "8b60e7e47cde43e0a7fbd66d926de14f",
    "frame_token": "04b08aa7a863458aa2eeccc86d5e3569",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, making the colors appear distorted and less detailed. In front of the ego vehicle, there is a white SUV at coordinates (0.5031, 0.5310) and two white sedans at coordinates (0.2297, 0.5658) and (0.5552, 0.5491). A green traffic light is visible at (0.6502, 0.4530). Behind the ego vehicle, a black sedan is moving at coordinates (0.6828, 0.6648). The overall visibility is reduced due to the color distortion, but key objects are still identifiable.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-53-31-0400__CAM_FRONT__1537290165912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_LEFT__1537290165904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_RIGHT__1537290165920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-53-31-0400__CAM_BACK__1537290165937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-53-31-0400__CAM_BACK_LEFT__1537290165947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_BACK_RIGHT__1537290165928113.jpg"
    }
  },
  {
    "scene_token": "3bc4553925494890a21ef7a15c40eaed",
    "frame_token": "48251ce758f444dcab723167fa8db055",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. H256 ABR compression. B. Bright. C. Rain. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535729251612424.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535729251604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535729251620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535729251637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535729251647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535729251628113.jpg"
    }
  },
  {
    "scene_token": "3bc4553925494890a21ef7a15c40eaed",
    "frame_token": "48251ce758f444dcab723167fa8db055",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black car to the front of the ego vehicle, a white sedan to the front of the ego vehicle, a person on the roadside to the back left of the ego vehicle, a white sedan to the front of the ego vehicle, a walking person to the back right of the ego vehicle, and a white sedan car to the back of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.2116,0.6054>, <c2,CAM_FRONT,0.9323,0.5519>, <c3,CAM_BACK_LEFT,0.1739,0.5547>, <c4,CAM_FRONT,0.6167,0.5417>, <c5,CAM_BACK_RIGHT,0.5114,0.6898>, and <c6,CAM_BACK,0.4599,0.5630>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535729251612424.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535729251604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535729251620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535729251637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535729251647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535729251628113.jpg"
    }
  },
  {
    "scene_token": "3bc4553925494890a21ef7a15c40eaed",
    "frame_token": "48251ce758f444dcab723167fa8db055",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.2116,0.6054> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "A, Explanation: The object is a black car moving ahead, and the corruption does not affect its status.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535729251612424.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535729251604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535729251620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535729251637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535729251647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535729251628113.jpg"
    }
  },
  {
    "scene_token": "3bc4553925494890a21ef7a15c40eaed",
    "frame_token": "48251ce758f444dcab723167fa8db055",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.2116,0.6054> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a black car, not a traffic sign or road barrier, even under colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535729251612424.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535729251604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535729251620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535729251637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535729251647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535729251628113.jpg"
    }
  },
  {
    "scene_token": "3bc4553925494890a21ef7a15c40eaed",
    "frame_token": "48251ce758f444dcab723167fa8db055",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.2116,0.6054> under colorquant corruption?",
    "answer": "Moderate left turn.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535729251612424.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535729251604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535729251620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535729251637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535729251647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535729251628113.jpg"
    }
  },
  {
    "scene_token": "3bc4553925494890a21ef7a15c40eaed",
    "frame_token": "48251ce758f444dcab723167fa8db055",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.2116,0.6054> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is to avoid a collision, which is high in probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535729251612424.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535729251604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535729251620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535729251637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535729251647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535729251628113.jpg"
    }
  },
  {
    "scene_token": "3bc4553925494890a21ef7a15c40eaed",
    "frame_token": "48251ce758f444dcab723167fa8db055",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which alters the color representation, making it challenging to distinguish objects. A black car is moving ahead in the front view, positioned at coordinates <0.2116, 0.6054>. A white sedan is also moving in the front view at <0.9323, 0.5519>. To the back left, a person is stationary on the roadside at <0.1739, 0.5547>. Another white sedan is moving in the front view at <0.6167, 0.5417>. A walking person is seen to the back right at <0.5114, 0.6898>, and a white sedan car is moving in the back view at <0.4599, 0.5630>. Despite the color distortion, the positions and movements of these objects are critical for navigation.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535729251612424.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535729251604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535729251620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535729251637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535729251647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535729251628113.jpg"
    }
  },
  {
    "scene_token": "928ee3a8c5a84497a6360fe70a4e921e",
    "frame_token": "789846622fac4176b66719351d445f35",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Dark. B. Fog. C. Color quant. D. Rain",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532663153162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532663153154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532663153170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532663153187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532663153197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532663153177893.jpg"
    }
  },
  {
    "scene_token": "928ee3a8c5a84497a6360fe70a4e921e",
    "frame_token": "789846622fac4176b66719351d445f35",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a person on the side of the road to the front of the ego vehicle, people walking on the roadside to the front of the ego vehicle, and an orange car to the back right of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.0469,0.6453>, <c2,CAM_FRONT,0.4771,0.5639>, and <c3,CAM_BACK_RIGHT,0.6886,0.6703>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532663153162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532663153154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532663153170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532663153187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532663153197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532663153177893.jpg"
    }
  },
  {
    "scene_token": "928ee3a8c5a84497a6360fe70a4e921e",
    "frame_token": "789846622fac4176b66719351d445f35",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.0469,0.6453> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "A, Explanation: The object is a person on the side of the road and is moving ahead.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532663153162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532663153154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532663153170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532663153187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532663153197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532663153177893.jpg"
    }
  },
  {
    "scene_token": "928ee3a8c5a84497a6360fe70a4e921e",
    "frame_token": "789846622fac4176b66719351d445f35",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant corruption? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice person on the side of the road at front camera. The object is going ahead, so the ego vehicle should keep going ahead at the same speed. Secondly, notice people walking on the roadside at front camera. The object is going ahead, so the ego vehicle should keep going ahead at the same speed. Thirdly, notice orange car at right rear camera. The object is going ahead, so the ego vehicle should keep going ahead at the same speed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532663153162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532663153154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532663153170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532663153187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532663153197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532663153177893.jpg"
    }
  },
  {
    "scene_token": "928ee3a8c5a84497a6360fe70a4e921e",
    "frame_token": "789846622fac4176b66719351d445f35",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.0469,0.6453> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a pedestrian, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532663153162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532663153154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532663153170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532663153187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532663153197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532663153177893.jpg"
    }
  },
  {
    "scene_token": "928ee3a8c5a84497a6360fe70a4e921e",
    "frame_token": "789846622fac4176b66719351d445f35",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.0469,0.6453> under colorquant corruption?",
    "answer": "Slight left turn.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532663153162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532663153154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532663153170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532663153187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532663153197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532663153177893.jpg"
    }
  },
  {
    "scene_token": "928ee3a8c5a84497a6360fe70a4e921e",
    "frame_token": "789846622fac4176b66719351d445f35",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Decelerate gradually without braking.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532663153162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532663153154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532663153170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532663153187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532663153197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532663153177893.jpg"
    }
  },
  {
    "scene_token": "928ee3a8c5a84497a6360fe70a4e921e",
    "frame_token": "789846622fac4176b66719351d445f35",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which alters the color quality and visibility. To the front of the ego vehicle, there is a person on the side of the road at coordinates <c1,CAM_FRONT,0.0469,0.6453>. Additionally, people are walking on the roadside at coordinates <c2,CAM_FRONT,0.4771,0.5639>. An orange car is moving to the back right of the ego vehicle at coordinates <c3,CAM_BACK_RIGHT,0.6886,0.6703>. The road is surrounded by trees and buildings, and the visibility is reduced due to the color distortion.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532663153162460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532663153154844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532663153170339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532663153187525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532663153197423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532663153177893.jpg"
    }
  },
  {
    "scene_token": "df8dfada99a04a81bd1b102eeb84e9bc",
    "frame_token": "e3f986e5d53f416492bdf255e82bff52",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Dark. B. Saturate. C. Snow. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535574095912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535574095904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535574095920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535574095937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535574095947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535574095928113.jpg"
    }
  },
  {
    "scene_token": "df8dfada99a04a81bd1b102eeb84e9bc",
    "frame_token": "e3f986e5d53f416492bdf255e82bff52",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene considering the colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black car to the front of the ego vehicle, a person riding a bicycle to the front of the ego vehicle, a person wearing a pink shirt and black pants to the front of the ego vehicle, a white SUV to the front right of the ego vehicle, a black sedan to the back right of the ego vehicle, and a black sedan to the back of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.6604,0.6314>, <c2,CAM_FRONT,0.2052,0.6092>, <c3,CAM_FRONT,0.0203,0.5991>, <c4,CAM_FRONT_RIGHT,0.4313,0.6758>, <c5,CAM_BACK_RIGHT,0.2409,0.7426>, and <c6,CAM_BACK,0.1351,0.6314>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535574095912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535574095904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535574095920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535574095937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535574095947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535574095928113.jpg"
    }
  },
  {
    "scene_token": "df8dfada99a04a81bd1b102eeb84e9bc",
    "frame_token": "e3f986e5d53f416492bdf255e82bff52",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.6604,0.6314> under colorquant corruption? Please select the correct answer from the following options: A. Turn right. B. Going ahead. C. Turn left.",
    "answer": "B, Explanation: The object is a black car moving straight ahead, unaffected by the colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535574095912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535574095904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535574095920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535574095937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535574095947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535574095928113.jpg"
    }
  },
  {
    "scene_token": "df8dfada99a04a81bd1b102eeb84e9bc",
    "frame_token": "e3f986e5d53f416492bdf255e82bff52",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.6604,0.6314> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a black car, not a traffic sign or road barrier, even under colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535574095912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535574095904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535574095920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535574095937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535574095947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535574095928113.jpg"
    }
  },
  {
    "scene_token": "df8dfada99a04a81bd1b102eeb84e9bc",
    "frame_token": "e3f986e5d53f416492bdf255e82bff52",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.6604,0.6314> considering colorquant corruption?",
    "answer": "Sharp left turn.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535574095912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535574095904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535574095920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535574095937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535574095947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535574095928113.jpg"
    }
  },
  {
    "scene_token": "df8dfada99a04a81bd1b102eeb84e9bc",
    "frame_token": "e3f986e5d53f416492bdf255e82bff52",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.6604,0.6314> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is to avoid a collision, which is high in probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535574095912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535574095904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535574095920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535574095937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535574095947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535574095928113.jpg"
    }
  },
  {
    "scene_token": "df8dfada99a04a81bd1b102eeb84e9bc",
    "frame_token": "e3f986e5d53f416492bdf255e82bff52",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is heavily affected by colorquant corruption, resulting in a reduced color palette that makes it challenging to distinguish between objects. A black car is moving ahead in the center of the front view. A person on a bicycle is also moving ahead, slightly to the left. A pedestrian wearing a pink shirt and black pants is visible in the front view. To the front right, a stationary white SUV is parked. Behind the ego vehicle, a black sedan is moving to the back right, and another black sedan is directly behind. These objects are identified by their coordinates: <c1,CAM_FRONT,0.6604,0.6314>, <c2,CAM_FRONT,0.2052,0.6092>, <c3,CAM_FRONT,0.0203,0.5991>, <c4,CAM_FRONT_RIGHT,0.4313,0.6758>, <c5,CAM_BACK_RIGHT,0.2409,0.7426>, and <c6,CAM_BACK,0.1351,0.6314>.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535574095912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535574095904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535574095920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535574095937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535574095947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535574095928113.jpg"
    }
  },
  {
    "scene_token": "f7d01e23508040c2aec430e8da13fb76",
    "frame_token": "18a739fec6c3491ca23efc10d02cf9de",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Bright. C. Motion blur. D. Sensor failure",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-52-26-0400__CAM_FRONT__1535659555912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_LEFT__1535659555904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_RIGHT__1535659555920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-52-26-0400__CAM_BACK__1535659555937586.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-52-26-0400__CAM_BACK_LEFT__1535659555947527.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_BACK_RIGHT__1535659555928113.jpg"
    }
  },
  {
    "scene_token": "f7d01e23508040c2aec430e8da13fb76",
    "frame_token": "18a739fec6c3491ca23efc10d02cf9de",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene considering the color quantization effect? Those objects will be considered for future reasoning and driving decisions.",
    "answer": "There is a white sedan car to the front of the ego vehicle, a pedestrian to the front of the ego vehicle, a gray commercial van to the back of the ego vehicle, a blue SUV to the back left of the ego vehicle, and a bicycle to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.7067,0.5611>, <c2,CAM_FRONT,0.9521,0.5703>, <c3,CAM_BACK,0.5417,0.5509>, <c4,CAM_BACK_LEFT,0.8264,0.6769>, and <c5,CAM_FRONT,0.8067,0.6009>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-52-26-0400__CAM_FRONT__1535659555912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_LEFT__1535659555904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_RIGHT__1535659555920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-52-26-0400__CAM_BACK__1535659555937586.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-52-26-0400__CAM_BACK_LEFT__1535659555947527.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_BACK_RIGHT__1535659555928113.jpg"
    }
  },
  {
    "scene_token": "f7d01e23508040c2aec430e8da13fb76",
    "frame_token": "18a739fec6c3491ca23efc10d02cf9de",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_FRONT,0.9521,0.5703> under the color quantization effect? Please select the correct answer from the following options: A. Going ahead. B. Turn right. C. Turn left.",
    "answer": "A, Explanation: The object is a pedestrian moving ahead, and the color quantization does not affect its movement direction.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-52-26-0400__CAM_FRONT__1535659555912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_LEFT__1535659555904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_RIGHT__1535659555920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-52-26-0400__CAM_BACK__1535659555937586.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-52-26-0400__CAM_BACK_LEFT__1535659555947527.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_BACK_RIGHT__1535659555928113.jpg"
    }
  },
  {
    "scene_token": "f7d01e23508040c2aec430e8da13fb76",
    "frame_token": "18a739fec6c3491ca23efc10d02cf9de",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.7067,0.5611> a traffic sign or a road barrier considering the color quantization effect?",
    "answer": "No, Explanation: The object is a white sedan car, and the color quantization does not change its classification.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-52-26-0400__CAM_FRONT__1535659555912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_LEFT__1535659555904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_RIGHT__1535659555920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-52-26-0400__CAM_BACK__1535659555937586.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-52-26-0400__CAM_BACK_LEFT__1535659555947527.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_BACK_RIGHT__1535659555928113.jpg"
    }
  },
  {
    "scene_token": "f7d01e23508040c2aec430e8da13fb76",
    "frame_token": "18a739fec6c3491ca23efc10d02cf9de",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.7067,0.5611> considering the color quantization effect? Why take this action and what's the probability?",
    "answer": "The action is to decelerate gradually without braking. The reason for taking this action is to avoid a collision, which has a high probability. The color quantization does not affect the need for this action.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-52-26-0400__CAM_FRONT__1535659555912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_LEFT__1535659555904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_RIGHT__1535659555920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-52-26-0400__CAM_BACK__1535659555937586.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-52-26-0400__CAM_BACK_LEFT__1535659555947527.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_BACK_RIGHT__1535659555928113.jpg"
    }
  },
  {
    "scene_token": "f7d01e23508040c2aec430e8da13fb76",
    "frame_token": "18a739fec6c3491ca23efc10d02cf9de",
    "question_type": "robust_qas",
    "question": "In this scenario with color quantization, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, decelerate gradually without braking. The color quantization does not affect these safe actions.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-52-26-0400__CAM_FRONT__1535659555912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_LEFT__1535659555904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_RIGHT__1535659555920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-52-26-0400__CAM_BACK__1535659555937586.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-52-26-0400__CAM_BACK_LEFT__1535659555947527.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_BACK_RIGHT__1535659555928113.jpg"
    }
  },
  {
    "scene_token": "f7d01e23508040c2aec430e8da13fb76",
    "frame_token": "18a739fec6c3491ca23efc10d02cf9de",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by color quantization, leading to reduced color detail and contrast. In front of the ego vehicle, there is a white sedan car at coordinates <c1,CAM_FRONT,0.7067,0.5611> and a pedestrian at <c2,CAM_FRONT,0.9521,0.5703>. Behind the vehicle, a gray commercial van is located at <c3,CAM_BACK,0.5417,0.5509>. To the back left, a blue SUV is stationary at <c4,CAM_BACK_LEFT,0.8264,0.6769>. Additionally, a bicycle is stationary at <c5,CAM_FRONT,0.8067,0.6009>. Despite the color quantization, the positions and statuses of these objects remain identifiable.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-52-26-0400__CAM_FRONT__1535659555912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_LEFT__1535659555904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_RIGHT__1535659555920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-52-26-0400__CAM_BACK__1535659555937586.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-52-26-0400__CAM_BACK_LEFT__1535659555947527.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_BACK_RIGHT__1535659555928113.jpg"
    }
  },
  {
    "scene_token": "75a4ec12042542149b0a77a0a10d6330",
    "frame_token": "7193cc6bcc5b4196abebcb32500ffe62",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Snow. B. H256 ABR compression. C. Sensor failure. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915328012465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915328004917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915328019956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915328037570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915328047295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915328027813.jpg"
    }
  },
  {
    "scene_token": "75a4ec12042542149b0a77a0a10d6330",
    "frame_token": "7193cc6bcc5b4196abebcb32500ffe62",
    "question_type": "robust_qas",
    "question": "Considering the colorquant corruption, what are the important objects in the current scene? These objects will be considered for future reasoning and driving decisions.",
    "answer": "There is an orange and white truck to the front right of the ego vehicle, a white truck to the front of the ego vehicle, a blue sedan to the back of the ego vehicle, and a blue sedan to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_RIGHT,0.1626,0.5338>, <c2,CAM_FRONT,0.6261,0.4814>, <c3,CAM_BACK,0.1552,0.5213>, and <c4,CAM_FRONT,0.1198,0.5676>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915328012465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915328004917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915328019956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915328037570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915328047295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915328027813.jpg"
    }
  },
  {
    "scene_token": "75a4ec12042542149b0a77a0a10d6330",
    "frame_token": "7193cc6bcc5b4196abebcb32500ffe62",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c3,CAM_BACK,0.1552,0.5213> under the colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Turn right. C. Going ahead.",
    "answer": "C, Explanation: The object is a blue sedan and it is moving, which is consistent with the choice 'Going ahead'.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915328012465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915328004917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915328019956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915328037570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915328047295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915328027813.jpg"
    }
  },
  {
    "scene_token": "75a4ec12042542149b0a77a0a10d6330",
    "frame_token": "7193cc6bcc5b4196abebcb32500ffe62",
    "question_type": "robust_qas",
    "question": "Under the colorquant corruption, is <c1,CAM_FRONT_RIGHT,0.1626,0.5338> a traffic sign or a road barrier?",
    "answer": "No, Explanation: The object is an orange and white truck, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915328012465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915328004917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915328019956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915328037570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915328047295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915328027813.jpg"
    }
  },
  {
    "scene_token": "75a4ec12042542149b0a77a0a10d6330",
    "frame_token": "7193cc6bcc5b4196abebcb32500ffe62",
    "question_type": "robust_qas",
    "question": "Considering the colorquant corruption, what actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT_RIGHT,0.1626,0.5338>?",
    "answer": "Moderate right turn.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915328012465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915328004917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915328019956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915328037570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915328047295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915328027813.jpg"
    }
  },
  {
    "scene_token": "75a4ec12042542149b0a77a0a10d6330",
    "frame_token": "7193cc6bcc5b4196abebcb32500ffe62",
    "question_type": "robust_qas",
    "question": "Under the colorquant corruption, what actions could the ego vehicle take based on <c1,CAM_FRONT_RIGHT,0.1626,0.5338>? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue. The probability is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915328012465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915328004917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915328019956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915328037570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915328047295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915328027813.jpg"
    }
  },
  {
    "scene_token": "75a4ec12042542149b0a77a0a10d6330",
    "frame_token": "7193cc6bcc5b4196abebcb32500ffe62",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which alters the color palette, making it challenging to distinguish objects based on color. The environment includes a street flanked by buildings, with several vehicles present. An orange and white truck is stationary to the front right of the ego vehicle at coordinates <0.1626, 0.5338>. A white truck is stationary directly in front at <0.6261, 0.4814>. Behind the ego vehicle, a blue sedan is moving at <0.1552, 0.5213>. Another blue sedan is stationary in front at <0.1198, 0.5676>. The altered colors may affect the perception of these objects.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915328012465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915328004917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915328019956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915328037570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915328047295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915328027813.jpg"
    }
  },
  {
    "scene_token": "4b5bf3f4668d44fea9a676e9c4a8a79e",
    "frame_token": "bfcb6df9474f4ad98fcf64ff2d1e170c",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Rain. B. Saturate. C. Snow. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-27-15-33-17+0800__CAM_FRONT__1538034004262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_LEFT__1538034004254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_RIGHT__1538034004270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-27-15-33-17+0800__CAM_BACK__1538034004287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-27-15-33-17+0800__CAM_BACK_LEFT__1538034004297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_BACK_RIGHT__1538034004277893.jpg"
    }
  },
  {
    "scene_token": "4b5bf3f4668d44fea9a676e9c4a8a79e",
    "frame_token": "bfcb6df9474f4ad98fcf64ff2d1e170c",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white truck to the back of the ego vehicle, a yellow traffic markings to the back of the ego vehicle, and a white road sign to the front of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.4547,0.5592>, <c2,CAM_BACK,0.4396,0.6398>, and <c3,CAM_FRONT,0.7559,0.6411>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-27-15-33-17+0800__CAM_FRONT__1538034004262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_LEFT__1538034004254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_RIGHT__1538034004270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-27-15-33-17+0800__CAM_BACK__1538034004287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-27-15-33-17+0800__CAM_BACK_LEFT__1538034004297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_BACK_RIGHT__1538034004277893.jpg"
    }
  },
  {
    "scene_token": "4b5bf3f4668d44fea9a676e9c4a8a79e",
    "frame_token": "bfcb6df9474f4ad98fcf64ff2d1e170c",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.4547,0.5592> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "B, Explanation: The object is a white truck moving ahead, and the colorquant corruption does not affect its movement status.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-27-15-33-17+0800__CAM_FRONT__1538034004262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_LEFT__1538034004254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_RIGHT__1538034004270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-27-15-33-17+0800__CAM_BACK__1538034004287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-27-15-33-17+0800__CAM_BACK_LEFT__1538034004297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_BACK_RIGHT__1538034004277893.jpg"
    }
  },
  {
    "scene_token": "4b5bf3f4668d44fea9a676e9c4a8a79e",
    "frame_token": "bfcb6df9474f4ad98fcf64ff2d1e170c",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant corruption? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice white road sign at front camera. The object is a traffic sign, so the ego vehicle should continue ahead at the same speed. Secondly, notice yellow traffic markings at back camera. The object is a traffic sign, so the ego vehicle should continue ahead at the same speed. Thirdly, notice white truck at back camera. The object is going ahead, so the ego vehicle should continue ahead at the same speed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-27-15-33-17+0800__CAM_FRONT__1538034004262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_LEFT__1538034004254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_RIGHT__1538034004270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-27-15-33-17+0800__CAM_BACK__1538034004287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-27-15-33-17+0800__CAM_BACK_LEFT__1538034004297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_BACK_RIGHT__1538034004277893.jpg"
    }
  },
  {
    "scene_token": "4b5bf3f4668d44fea9a676e9c4a8a79e",
    "frame_token": "bfcb6df9474f4ad98fcf64ff2d1e170c",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.4547,0.5592> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a white truck, not a traffic sign or road barrier, and the colorquant corruption does not change its category.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-27-15-33-17+0800__CAM_FRONT__1538034004262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_LEFT__1538034004254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_RIGHT__1538034004270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-27-15-33-17+0800__CAM_BACK__1538034004287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-27-15-33-17+0800__CAM_BACK_LEFT__1538034004297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_BACK_RIGHT__1538034004277893.jpg"
    }
  },
  {
    "scene_token": "4b5bf3f4668d44fea9a676e9c4a8a79e",
    "frame_token": "bfcb6df9474f4ad98fcf64ff2d1e170c",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.4547,0.5592> under colorquant corruption?",
    "answer": "Brake suddenly.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-27-15-33-17+0800__CAM_FRONT__1538034004262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_LEFT__1538034004254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_RIGHT__1538034004270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-27-15-33-17+0800__CAM_BACK__1538034004287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-27-15-33-17+0800__CAM_BACK_LEFT__1538034004297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_BACK_RIGHT__1538034004277893.jpg"
    }
  },
  {
    "scene_token": "4b5bf3f4668d44fea9a676e9c4a8a79e",
    "frame_token": "bfcb6df9474f4ad98fcf64ff2d1e170c",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK,0.4547,0.5592> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue. The probability is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-27-15-33-17+0800__CAM_FRONT__1538034004262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_LEFT__1538034004254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_RIGHT__1538034004270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-27-15-33-17+0800__CAM_BACK__1538034004287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-27-15-33-17+0800__CAM_BACK_LEFT__1538034004297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_BACK_RIGHT__1538034004277893.jpg"
    }
  },
  {
    "scene_token": "4b5bf3f4668d44fea9a676e9c4a8a79e",
    "frame_token": "bfcb6df9474f4ad98fcf64ff2d1e170c",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which alters the color representation of the environment. Despite this, the key objects remain identifiable. A white truck is moving behind the ego vehicle, positioned at coordinates <c1,CAM_BACK,0.4547,0.5592>. Yellow traffic markings are visible at the back, located at <c2,CAM_BACK,0.4396,0.6398>. A white road sign is ahead of the vehicle, positioned at <c3,CAM_FRONT,0.7559,0.6411>. The road is surrounded by trees and fences, creating a suburban setting.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-27-15-33-17+0800__CAM_FRONT__1538034004262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_LEFT__1538034004254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_RIGHT__1538034004270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-27-15-33-17+0800__CAM_BACK__1538034004287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-27-15-33-17+0800__CAM_BACK_LEFT__1538034004297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_BACK_RIGHT__1538034004277893.jpg"
    }
  },
  {
    "scene_token": "00590cbfa24a430a8c274b51e1c71231",
    "frame_token": "0dd2b3a691554932abed501d3b33310e",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Saturate. C. Rain. D. Fog",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-16-32-59+0800__CAM_FRONT__1533112780512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_LEFT__1533112780504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_RIGHT__1533112780520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-16-32-59+0800__CAM_BACK__1533112780537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-16-32-59+0800__CAM_BACK_LEFT__1533112780547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_BACK_RIGHT__1533112780527893.jpg"
    }
  },
  {
    "scene_token": "00590cbfa24a430a8c274b51e1c71231",
    "frame_token": "0dd2b3a691554932abed501d3b33310e",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_FRONT,0.3234,0.4981> under colorquant corruption? Please select the correct answer from the following options: A. Turn right. B. Going ahead. C. Turn left.",
    "answer": "B, Explanation: The object is a white truck moving ahead, and the colorquant corruption does not affect its status.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-16-32-59+0800__CAM_FRONT__1533112780512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_LEFT__1533112780504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_RIGHT__1533112780520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-16-32-59+0800__CAM_BACK__1533112780537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-16-32-59+0800__CAM_BACK_LEFT__1533112780547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_BACK_RIGHT__1533112780527893.jpg"
    }
  },
  {
    "scene_token": "00590cbfa24a430a8c274b51e1c71231",
    "frame_token": "0dd2b3a691554932abed501d3b33310e",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white commercial vehicle to the front right of the ego vehicle, a white truck to the front of the ego vehicle, and a yellow bike to the back of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_RIGHT,0.3812,0.5722>, <c2,CAM_FRONT,0.3234,0.4981>, and <c3,CAM_BACK,0.6567,0.6028>. The colorquant corruption affects the visual clarity but not the identification of these objects.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-16-32-59+0800__CAM_FRONT__1533112780512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_LEFT__1533112780504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_RIGHT__1533112780520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-16-32-59+0800__CAM_BACK__1533112780537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-16-32-59+0800__CAM_BACK_LEFT__1533112780547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_BACK_RIGHT__1533112780527893.jpg"
    }
  },
  {
    "scene_token": "00590cbfa24a430a8c274b51e1c71231",
    "frame_token": "0dd2b3a691554932abed501d3b33310e",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant corruption? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice that white commercial vehicle at right camera. The object is stationary, so the ego vehicle should continue going ahead at the same speed. Secondly, notice that white truck at front camera. The object is going ahead, so the ego vehicle should continue going ahead at the same speed. Thirdly, notice that yellow bike at back camera. The object is stationary, so the ego vehicle should continue going ahead at the same speed. The colorquant corruption may affect the visual perception but not the sequence of noticing objects.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-16-32-59+0800__CAM_FRONT__1533112780512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_LEFT__1533112780504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_RIGHT__1533112780520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-16-32-59+0800__CAM_BACK__1533112780537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-16-32-59+0800__CAM_BACK_LEFT__1533112780547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_BACK_RIGHT__1533112780527893.jpg"
    }
  },
  {
    "scene_token": "00590cbfa24a430a8c274b51e1c71231",
    "frame_token": "0dd2b3a691554932abed501d3b33310e",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_RIGHT,0.3812,0.5722> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a white commercial vehicle, and the colorquant corruption does not change its category.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-16-32-59+0800__CAM_FRONT__1533112780512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_LEFT__1533112780504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_RIGHT__1533112780520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-16-32-59+0800__CAM_BACK__1533112780537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-16-32-59+0800__CAM_BACK_LEFT__1533112780547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_BACK_RIGHT__1533112780527893.jpg"
    }
  },
  {
    "scene_token": "00590cbfa24a430a8c274b51e1c71231",
    "frame_token": "0dd2b3a691554932abed501d3b33310e",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT_RIGHT,0.3812,0.5722> under colorquant corruption?",
    "answer": "Moderate right turn. The colorquant corruption does not affect the potential collision risk with this stationary vehicle.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-16-32-59+0800__CAM_FRONT__1533112780512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_LEFT__1533112780504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_RIGHT__1533112780520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-16-32-59+0800__CAM_BACK__1533112780537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-16-32-59+0800__CAM_BACK_LEFT__1533112780547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_BACK_RIGHT__1533112780527893.jpg"
    }
  },
  {
    "scene_token": "00590cbfa24a430a8c274b51e1c71231",
    "frame_token": "0dd2b3a691554932abed501d3b33310e",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT_RIGHT,0.3812,0.5722> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue. The probability is high. The colorquant corruption does not affect the decision-making process.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-16-32-59+0800__CAM_FRONT__1533112780512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_LEFT__1533112780504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_RIGHT__1533112780520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-16-32-59+0800__CAM_BACK__1533112780537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-16-32-59+0800__CAM_BACK_LEFT__1533112780547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_BACK_RIGHT__1533112780527893.jpg"
    }
  },
  {
    "scene_token": "00590cbfa24a430a8c274b51e1c71231",
    "frame_token": "0dd2b3a691554932abed501d3b33310e",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, which alters the color representation of the scene. Despite this, the key objects remain identifiable: a white commercial vehicle is stationary at the front right (coordinates <c1,CAM_FRONT_RIGHT,0.3812,0.5722>), a white truck is moving ahead in front of the ego vehicle (coordinates <c2,CAM_FRONT,0.3234,0.4981>), and a yellow bike is stationary at the back (coordinates <c3,CAM_BACK,0.6567,0.6028>). The road is visible, though the colorquant effect may obscure some details, and the surrounding buildings and trees are present but with altered color tones.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-16-32-59+0800__CAM_FRONT__1533112780512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_LEFT__1533112780504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_RIGHT__1533112780520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-16-32-59+0800__CAM_BACK__1533112780537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-16-32-59+0800__CAM_BACK_LEFT__1533112780547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_BACK_RIGHT__1533112780527893.jpg"
    }
  },
  {
    "scene_token": "00590cbfa24a430a8c274b51e1c71231",
    "frame_token": "ab256e0594844adfaf7ea6b5aeef9ba5",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Saturate. B. Rain. C. H256 ABR compression. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-16-32-59+0800__CAM_FRONT__1533112765762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_LEFT__1533112765754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_RIGHT__1533112765770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-16-32-59+0800__CAM_BACK__1533112765787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-16-32-59+0800__CAM_BACK_LEFT__1533112765797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_BACK_RIGHT__1533112765777893.jpg"
    }
  },
  {
    "scene_token": "00590cbfa24a430a8c274b51e1c71231",
    "frame_token": "ab256e0594844adfaf7ea6b5aeef9ba5",
    "question_type": "robust_qas",
    "question": "Considering the colorquant corruption, what is the moving status of object <c1,CAM_FRONT,0.4646,0.6814>? Please select the correct answer from the following options: A. Turn left. B. Turn right. C. Going ahead.",
    "answer": "B, Explanation: The object is a white commercial vehicle moving to the right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-16-32-59+0800__CAM_FRONT__1533112765762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_LEFT__1533112765754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_RIGHT__1533112765770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-16-32-59+0800__CAM_BACK__1533112765787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-16-32-59+0800__CAM_BACK_LEFT__1533112765797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_BACK_RIGHT__1533112765777893.jpg"
    }
  },
  {
    "scene_token": "00590cbfa24a430a8c274b51e1c71231",
    "frame_token": "ab256e0594844adfaf7ea6b5aeef9ba5",
    "question_type": "robust_qas",
    "question": "Under the colorquant corruption, what are the important objects in the current scene? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white commercial vehicle to the front of the ego vehicle, a dark gray van to the back of the ego vehicle, a pedestrian wearing a light purple shirt to the front left of the ego vehicle, and a dark blue SUV to the front left of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.4646,0.6814>, <c2,CAM_BACK,0.4370,0.5611>, <c3,CAM_FRONT_LEFT,0.5380,0.6759>, and <c4,CAM_FRONT_LEFT,0.6276,0.5602>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-16-32-59+0800__CAM_FRONT__1533112765762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_LEFT__1533112765754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_RIGHT__1533112765770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-16-32-59+0800__CAM_BACK__1533112765787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-16-32-59+0800__CAM_BACK_LEFT__1533112765797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_BACK_RIGHT__1533112765777893.jpg"
    }
  },
  {
    "scene_token": "00590cbfa24a430a8c274b51e1c71231",
    "frame_token": "ab256e0594844adfaf7ea6b5aeef9ba5",
    "question_type": "robust_qas",
    "question": "With the colorquant corruption affecting visibility, is <c1,CAM_FRONT,0.4646,0.6814> a traffic sign or a road barrier?",
    "answer": "No, Explanation: The object is a white commercial vehicle, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-16-32-59+0800__CAM_FRONT__1533112765762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_LEFT__1533112765754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_RIGHT__1533112765770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-16-32-59+0800__CAM_BACK__1533112765787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-16-32-59+0800__CAM_BACK_LEFT__1533112765797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_BACK_RIGHT__1533112765777893.jpg"
    }
  },
  {
    "scene_token": "00590cbfa24a430a8c274b51e1c71231",
    "frame_token": "ab256e0594844adfaf7ea6b5aeef9ba5",
    "question_type": "robust_qas",
    "question": "Considering the colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Brake suddenly.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-16-32-59+0800__CAM_FRONT__1533112765762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_LEFT__1533112765754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_RIGHT__1533112765770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-16-32-59+0800__CAM_BACK__1533112765787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-16-32-59+0800__CAM_BACK_LEFT__1533112765797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_BACK_RIGHT__1533112765777893.jpg"
    }
  },
  {
    "scene_token": "00590cbfa24a430a8c274b51e1c71231",
    "frame_token": "ab256e0594844adfaf7ea6b5aeef9ba5",
    "question_type": "robust_qas",
    "question": "Under the colorquant corruption, what actions could the ego vehicle take based on <c1,CAM_FRONT,0.4646,0.6814>? Why take this action and what's the probability?",
    "answer": "The action is to remain stationary. The reason for this action is to maintain a safe distance, which is highly probable.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-16-32-59+0800__CAM_FRONT__1533112765762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_LEFT__1533112765754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_RIGHT__1533112765770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-16-32-59+0800__CAM_BACK__1533112765787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-16-32-59+0800__CAM_BACK_LEFT__1533112765797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_BACK_RIGHT__1533112765777893.jpg"
    }
  },
  {
    "scene_token": "00590cbfa24a430a8c274b51e1c71231",
    "frame_token": "ab256e0594844adfaf7ea6b5aeef9ba5",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is heavily affected by colorquant corruption, causing a significant reduction in color detail and contrast. A white commercial vehicle is moving to the right in front of the ego vehicle at coordinates <c1,CAM_FRONT,0.4646,0.6814>. Behind the ego vehicle, a dark gray van is stationary at coordinates <c2,CAM_BACK,0.4370,0.5611>. To the front left, a pedestrian wearing a light purple shirt is moving at coordinates <c3,CAM_FRONT_LEFT,0.5380,0.6759>, and a dark blue SUV is stationary at coordinates <c4,CAM_FRONT_LEFT,0.6276,0.5602>. The overall visibility is compromised, making it challenging to discern finer details.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-16-32-59+0800__CAM_FRONT__1533112765762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_LEFT__1533112765754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_RIGHT__1533112765770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-16-32-59+0800__CAM_BACK__1533112765787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-16-32-59+0800__CAM_BACK_LEFT__1533112765797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_BACK_RIGHT__1533112765777893.jpg"
    }
  },
  {
    "scene_token": "240d15482599449a9bd0432fbfa688ab",
    "frame_token": "e154fa0b72ef4a428a17b76e5a8cba6c",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Saturate. B. Color quant. C. JPEG compression. D. Dark",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985425262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985425254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985425270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985425287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985425297425.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985425277893.jpg"
    }
  },
  {
    "scene_token": "240d15482599449a9bd0432fbfa688ab",
    "frame_token": "e154fa0b72ef4a428a17b76e5a8cba6c",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene considering the colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a pedestrian wearing white shorts to the front left of the ego vehicle, an orange bus to the front of the ego vehicle, a blue sedan to the back of the ego vehicle, and a blue sedan to the front right of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_LEFT,0.6279,0.5731>, <c2,CAM_FRONT,0.0936,0.4960>, <c3,CAM_BACK,0.4422,0.6213>, and <c4,CAM_FRONT_RIGHT,0.1160,0.5806>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985425262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985425254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985425270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985425287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985425297425.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985425277893.jpg"
    }
  },
  {
    "scene_token": "240d15482599449a9bd0432fbfa688ab",
    "frame_token": "e154fa0b72ef4a428a17b76e5a8cba6c",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT_LEFT,0.6279,0.5731> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "B, Explanation: The object is a pedestrian wearing white shorts, moving ahead.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985425262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985425254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985425270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985425287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985425297425.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985425277893.jpg"
    }
  },
  {
    "scene_token": "240d15482599449a9bd0432fbfa688ab",
    "frame_token": "e154fa0b72ef4a428a17b76e5a8cba6c",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_LEFT,0.6279,0.5731> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a pedestrian wearing white shorts, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985425262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985425254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985425270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985425287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985425297425.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985425277893.jpg"
    }
  },
  {
    "scene_token": "240d15482599449a9bd0432fbfa688ab",
    "frame_token": "e154fa0b72ef4a428a17b76e5a8cba6c",
    "question_type": "robust_qas",
    "question": "In this scenario with colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, decelerate gradually without braking.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985425262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985425254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985425270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985425287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985425297425.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985425277893.jpg"
    }
  },
  {
    "scene_token": "240d15482599449a9bd0432fbfa688ab",
    "frame_token": "e154fa0b72ef4a428a17b76e5a8cba6c",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT_LEFT,0.6279,0.5731> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue, with a high probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985425262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985425254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985425270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985425287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985425297425.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985425277893.jpg"
    }
  },
  {
    "scene_token": "240d15482599449a9bd0432fbfa688ab",
    "frame_token": "e154fa0b72ef4a428a17b76e5a8cba6c",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which alters the color representation, making it challenging to perceive details. To the front left, there is a pedestrian wearing white shorts, identified at coordinates <c1,CAM_FRONT_LEFT,0.6279,0.5731>. Directly in front, an orange bus is stationary at <c2,CAM_FRONT,0.0936,0.4960>. Behind the ego vehicle, a blue sedan is moving at <c3,CAM_BACK,0.4422,0.6213>, while another blue sedan is stationary to the front right at <c4,CAM_FRONT_RIGHT,0.1160,0.5806>. The overall visibility is reduced, requiring careful navigation.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985425262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985425254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985425270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985425287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985425297425.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985425277893.jpg"
    }
  },
  {
    "scene_token": "09f67057dd8346388b28f79d9bb1cf04",
    "frame_token": "4ce5f2215acf45cdbed99d72e4c2dd3b",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Fog. B. Color quant. C. Bright. D. Zoom blur",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193307512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193307504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193307520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193307537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193307547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193307527893.jpg"
    }
  },
  {
    "scene_token": "09f67057dd8346388b28f79d9bb1cf04",
    "frame_token": "4ce5f2215acf45cdbed99d72e4c2dd3b",
    "question_type": "robust_qas",
    "question": "Considering the color quantization corruption, what are the important objects in the current scene? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a pedestrian in red clothes to the front of the ego vehicle, a white sedan to the back of the ego vehicle, a white sedan to the front of the ego vehicle, a red car to the front of the ego vehicle, and a white sedan car to the front left of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.7364,0.5908>, <c2,CAM_BACK,0.2099,0.6139>, <c3,CAM_FRONT,0.3333,0.6444>, <c4,CAM_FRONT,0.9448,0.6120>, and <c5,CAM_FRONT_LEFT,0.4609,0.6028>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193307512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193307504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193307520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193307537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193307547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193307527893.jpg"
    }
  },
  {
    "scene_token": "09f67057dd8346388b28f79d9bb1cf04",
    "frame_token": "4ce5f2215acf45cdbed99d72e4c2dd3b",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.7364,0.5908> under color quantization corruption? Please select the correct answer from the following options: A. Turn left. B. Turn right. C. Going ahead.",
    "answer": "C, Explanation: The object is a pedestrian moving ahead, and the corruption does not affect this status.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193307512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193307504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193307520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193307537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193307547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193307527893.jpg"
    }
  },
  {
    "scene_token": "09f67057dd8346388b28f79d9bb1cf04",
    "frame_token": "4ce5f2215acf45cdbed99d72e4c2dd3b",
    "question_type": "robust_qas",
    "question": "Under color quantization corruption, is <c1,CAM_FRONT,0.7364,0.5908> a traffic sign or a road barrier?",
    "answer": "No, Explanation: The object is a pedestrian, not a traffic sign or road barrier, despite the visual corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193307512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193307504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193307520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193307537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193307547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193307527893.jpg"
    }
  },
  {
    "scene_token": "09f67057dd8346388b28f79d9bb1cf04",
    "frame_token": "4ce5f2215acf45cdbed99d72e4c2dd3b",
    "question_type": "robust_qas",
    "question": "Considering the color quantization corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, slightly offset to the left, and slightly offset to the right.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193307512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193307504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193307520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193307537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193307547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193307527893.jpg"
    }
  },
  {
    "scene_token": "09f67057dd8346388b28f79d9bb1cf04",
    "frame_token": "4ce5f2215acf45cdbed99d72e4c2dd3b",
    "question_type": "robust_qas",
    "question": "Under color quantization corruption, what actions could the ego vehicle take based on <c1,CAM_FRONT,0.7364,0.5908>? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue. The probability of this action is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193307512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193307504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193307520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193307537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193307547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193307527893.jpg"
    }
  },
  {
    "scene_token": "09f67057dd8346388b28f79d9bb1cf04",
    "frame_token": "4ce5f2215acf45cdbed99d72e4c2dd3b",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by color quantization, causing reduced color detail and contrast. A pedestrian in red clothes is moving ahead at coordinates <c1,CAM_FRONT,0.7364,0.5908>. A white sedan is moving behind the ego vehicle at <c2,CAM_BACK,0.2099,0.6139>. Another white sedan is ahead at <c3,CAM_FRONT,0.3333,0.6444>, along with a red car at <c4,CAM_FRONT,0.9448,0.6120>. To the front left, a white sedan car is positioned at <c5,CAM_FRONT_LEFT,0.4609,0.6028>. The scene is challenging due to the visual distortion.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193307512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193307504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193307520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193307537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193307547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193307527893.jpg"
    }
  },
  {
    "scene_token": "09f67057dd8346388b28f79d9bb1cf04",
    "frame_token": "152e3f20b47647a7b6da918c4d69b4b0",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Zoom blur. B. Color quant. C. Sensor failure. D. Saturate",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193304012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193304004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193304020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193304037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193304047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193304027893.jpg"
    }
  },
  {
    "scene_token": "09f67057dd8346388b28f79d9bb1cf04",
    "frame_token": "152e3f20b47647a7b6da918c4d69b4b0",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_FRONT_RIGHT,0.6703,0.4981> under color quantization corruption? Please select the correct answer from the following options: A. Turn right. B. Going ahead. C. Turn left.",
    "answer": "A, Explanation: The object is a black SUV, and despite the color quantization corruption, it is turning right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193304012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193304004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193304020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193304037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193304047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193304027893.jpg"
    }
  },
  {
    "scene_token": "09f67057dd8346388b28f79d9bb1cf04",
    "frame_token": "152e3f20b47647a7b6da918c4d69b4b0",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under color quantization corruption? Those objects will be considered for future reasoning and driving decisions.",
    "answer": "There is a black car to the front left of the ego vehicle, a black SUV to the front right of the ego vehicle, an unclear object to the back of the ego vehicle, a white sedan to the front of the ego vehicle, and a red car to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_LEFT,0.6000,0.6750>, <c2,CAM_FRONT_RIGHT,0.6703,0.4981>, <c3,CAM_BACK,0.4547,0.5936>, <c4,CAM_FRONT,0.3667,0.6398>, and <c5,CAM_FRONT,0.5745,0.6269>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193304012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193304004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193304020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193304037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193304047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193304027893.jpg"
    }
  },
  {
    "scene_token": "09f67057dd8346388b28f79d9bb1cf04",
    "frame_token": "152e3f20b47647a7b6da918c4d69b4b0",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_LEFT,0.6000,0.6750> a traffic sign or a road barrier under color quantization corruption?",
    "answer": "No, Explanation: The object is a black car, and the color quantization does not change its classification.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193304012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193304004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193304020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193304037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193304047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193304027893.jpg"
    }
  },
  {
    "scene_token": "09f67057dd8346388b28f79d9bb1cf04",
    "frame_token": "152e3f20b47647a7b6da918c4d69b4b0",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT_LEFT,0.6000,0.6750> under color quantization corruption?",
    "answer": "No such action will lead to a collision, Explanation: The black car is stationary, and the corruption does not affect its position.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193304012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193304004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193304020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193304037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193304047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193304027893.jpg"
    }
  },
  {
    "scene_token": "09f67057dd8346388b28f79d9bb1cf04",
    "frame_token": "152e3f20b47647a7b6da918c4d69b4b0",
    "question_type": "robust_qas",
    "question": "In this scenario under color quantization corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, slightly offset to the right, slightly offset to the left.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193304012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193304004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193304020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193304037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193304047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193304027893.jpg"
    }
  },
  {
    "scene_token": "09f67057dd8346388b28f79d9bb1cf04",
    "frame_token": "152e3f20b47647a7b6da918c4d69b4b0",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by color quantization, which reduces the color detail and makes it challenging to distinguish objects. Despite this, a black car is stationary at the front left, a black SUV is moving to the front right, an unclear object is moving at the back, a white sedan is moving directly in front, and a red car is also moving in front. The positions of these objects are marked by their coordinates: <c1,CAM_FRONT_LEFT,0.6000,0.6750>, <c2,CAM_FRONT_RIGHT,0.6703,0.4981>, <c3,CAM_BACK,0.4547,0.5936>, <c4,CAM_FRONT,0.3667,0.6398>, and <c5,CAM_FRONT,0.5745,0.6269>. The overall visibility is reduced, but key objects are still identifiable.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193304012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193304004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193304020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193304037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193304047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193304027893.jpg"
    }
  },
  {
    "scene_token": "673ce9bdd9254fff82a524653a07b57f",
    "frame_token": "3b5bce4f52a14ecfb159d8b1bd2b542d",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. H256 ABR compression. B. Bit error. C. Color quant. D. Fog",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290797762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290797754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290797770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290797787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290797797408.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290797778113.jpg"
    }
  },
  {
    "scene_token": "673ce9bdd9254fff82a524653a07b57f",
    "frame_token": "3b5bce4f52a14ecfb159d8b1bd2b542d",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene considering the color quantization effect? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white truck to the front of the ego vehicle, a blue truck to the back of the ego vehicle, a blue car to the back left of the ego vehicle, and a green light to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.5323,0.5222>, <c2,CAM_BACK,0.6536,0.5722>, <c3,CAM_BACK_LEFT,0.4219,0.7500>, and <c4,CAM_FRONT,0.5039,0.4546>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290797762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290797754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290797770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290797787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290797797408.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290797778113.jpg"
    }
  },
  {
    "scene_token": "673ce9bdd9254fff82a524653a07b57f",
    "frame_token": "3b5bce4f52a14ecfb159d8b1bd2b542d",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.5323,0.5222> under color quantization? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "A, Explanation: The object is a white truck moving ahead, and the color quantization does not affect its trajectory.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290797762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290797754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290797770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290797787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290797797408.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290797778113.jpg"
    }
  },
  {
    "scene_token": "673ce9bdd9254fff82a524653a07b57f",
    "frame_token": "3b5bce4f52a14ecfb159d8b1bd2b542d",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.5323,0.5222> a traffic sign or a road barrier considering the color quantization effect?",
    "answer": "No, Explanation: The object is a white truck, not a traffic sign or road barrier, and the color quantization does not change its classification.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290797762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290797754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290797770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290797787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290797797408.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290797778113.jpg"
    }
  },
  {
    "scene_token": "673ce9bdd9254fff82a524653a07b57f",
    "frame_token": "3b5bce4f52a14ecfb159d8b1bd2b542d",
    "question_type": "robust_qas",
    "question": "In this scenario with color quantization, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, decelerate gradually without braking.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290797762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290797754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290797770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290797787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290797797408.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290797778113.jpg"
    }
  },
  {
    "scene_token": "673ce9bdd9254fff82a524653a07b57f",
    "frame_token": "3b5bce4f52a14ecfb159d8b1bd2b542d",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.5323,0.5222> under color quantization? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue. The probability is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290797762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290797754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290797770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290797787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290797797408.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290797778113.jpg"
    }
  },
  {
    "scene_token": "673ce9bdd9254fff82a524653a07b57f",
    "frame_token": "3b5bce4f52a14ecfb159d8b1bd2b542d",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by color quantization, making the colors appear less distinct and more blocky. In front of the ego vehicle, there is a white truck moving forward, identified at coordinates <c1,CAM_FRONT,0.5323,0.5222>. Behind the ego vehicle, a blue truck is also moving, located at <c2,CAM_BACK,0.6536,0.5722>. To the back left, a blue car is moving at <c3,CAM_BACK_LEFT,0.4219,0.7500>. A green light is visible in front of the ego vehicle at <c4,CAM_FRONT,0.5039,0.4546>. Despite the color quantization, the vehicles and traffic light are identifiable, but the overall scene may appear less clear.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290797762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290797754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290797770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290797787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290797797408.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290797778113.jpg"
    }
  },
  {
    "scene_token": "40a2faa275fe4b9bb7412259485bb46e",
    "frame_token": "8a7f948960704d5ea44b868153a92d63",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Sensor failure. B. Color quant. C. Dark. D. Zoom blur",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537296940262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537296940254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537296940270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537296940287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537296940297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537296940278113.jpg"
    }
  },
  {
    "scene_token": "40a2faa275fe4b9bb7412259485bb46e",
    "frame_token": "8a7f948960704d5ea44b868153a92d63",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a silver sedan to the front left of the ego vehicle, a black sedan to the front of the ego vehicle, and a white sedan to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_LEFT,0.8036,0.6963>, <c2,CAM_FRONT,0.4401,0.5574>, and <c3,CAM_FRONT,0.5614,0.5472>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537296940262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537296940254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537296940270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537296940287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537296940297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537296940278113.jpg"
    }
  },
  {
    "scene_token": "40a2faa275fe4b9bb7412259485bb46e",
    "frame_token": "8a7f948960704d5ea44b868153a92d63",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT_LEFT,0.8036,0.6963> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn right. C. Turn left.",
    "answer": "A, Explanation: The object is a silver sedan moving ahead, and the colorquant corruption does not affect its status.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537296940262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537296940254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537296940270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537296940287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537296940297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537296940278113.jpg"
    }
  },
  {
    "scene_token": "40a2faa275fe4b9bb7412259485bb46e",
    "frame_token": "8a7f948960704d5ea44b868153a92d63",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant corruption? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly notice silver sedan at left camera. The object is going ahead, so the ego vehicle should keep going ahead at the same speed. Secondly notice black sedan at front camera. The object is going ahead, so the ego vehicle should keep going ahead at the same speed. Thirdly notice white sedan at front camera. The object is going ahead, so the ego vehicle should keep going ahead at the same speed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537296940262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537296940254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537296940270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537296940287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537296940297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537296940278113.jpg"
    }
  },
  {
    "scene_token": "40a2faa275fe4b9bb7412259485bb46e",
    "frame_token": "8a7f948960704d5ea44b868153a92d63",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_LEFT,0.8036,0.6963> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a silver sedan, not a traffic sign or road barrier, and the colorquant corruption does not change its category.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537296940262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537296940254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537296940270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537296940287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537296940297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537296940278113.jpg"
    }
  },
  {
    "scene_token": "40a2faa275fe4b9bb7412259485bb46e",
    "frame_token": "8a7f948960704d5ea44b868153a92d63",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT_LEFT,0.8036,0.6963> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is to avoid a collision, which is high probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537296940262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537296940254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537296940270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537296940287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537296940297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537296940278113.jpg"
    }
  },
  {
    "scene_token": "40a2faa275fe4b9bb7412259485bb46e",
    "frame_token": "8a7f948960704d5ea44b868153a92d63",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c3,CAM_FRONT,0.5614,0.5472> under colorquant corruption?",
    "answer": "Accelerating and going straight.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537296940262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537296940254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537296940270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537296940287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537296940297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537296940278113.jpg"
    }
  },
  {
    "scene_token": "40a2faa275fe4b9bb7412259485bb46e",
    "frame_token": "8a7f948960704d5ea44b868153a92d63",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which alters the color palette, making it challenging to distinguish objects based on color. Despite this, the key objects remain identifiable by their positions: a silver sedan is located to the front left of the ego vehicle at coordinates <c1,CAM_FRONT_LEFT,0.8036,0.6963>, a black sedan is directly in front at <c2,CAM_FRONT,0.4401,0.5574>, and a white sedan is also in front at <c3,CAM_FRONT,0.5614,0.5472>. The environment appears urban with buildings surrounding the road, and the road surface is reflective, indicating possible wet conditions.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537296940262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537296940254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537296940270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537296940287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537296940297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537296940278113.jpg"
    }
  },
  {
    "scene_token": "37cfda558193400bbe3a5ff14ae4606e",
    "frame_token": "13b1c7b127494822990819c066d19d21",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Zoom blur. B. Color quant. C. Snow. D. Motion blur",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-43-59-0400__CAM_FRONT__1537296500662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_LEFT__1537296500654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_RIGHT__1537296500670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-43-59-0400__CAM_BACK__1537296500687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-43-59-0400__CAM_BACK_LEFT__1537296500697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_BACK_RIGHT__1537296500678113.jpg"
    }
  },
  {
    "scene_token": "37cfda558193400bbe3a5ff14ae4606e",
    "frame_token": "13b1c7b127494822990819c066d19d21",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene considering the color quantization effect? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a red car to the front of the ego vehicle, a blue and white commercial vehicle to the front of the ego vehicle, a black pickup truck to the front of the ego vehicle, a white truck to the front of the ego vehicle, and a green light to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.8292,0.5250>, <c2,CAM_FRONT,0.1042,0.6347>, <c3,CAM_FRONT,0.4748,0.5524>, <c4,CAM_FRONT,0.3286,0.5130>, and <c5,CAM_FRONT,0.6604,0.3031>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-43-59-0400__CAM_FRONT__1537296500662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_LEFT__1537296500654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_RIGHT__1537296500670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-43-59-0400__CAM_BACK__1537296500687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-43-59-0400__CAM_BACK_LEFT__1537296500697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_BACK_RIGHT__1537296500678113.jpg"
    }
  },
  {
    "scene_token": "37cfda558193400bbe3a5ff14ae4606e",
    "frame_token": "13b1c7b127494822990819c066d19d21",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.8292,0.5250> under the color quantization effect? Please select the correct answer from the following options: A. Turn left. B. Turn right. C. Going ahead.",
    "answer": "C, Explanation: The object is a red car moving ahead, and the color quantization does not affect its trajectory.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-43-59-0400__CAM_FRONT__1537296500662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_LEFT__1537296500654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_RIGHT__1537296500670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-43-59-0400__CAM_BACK__1537296500687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-43-59-0400__CAM_BACK_LEFT__1537296500697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_BACK_RIGHT__1537296500678113.jpg"
    }
  },
  {
    "scene_token": "37cfda558193400bbe3a5ff14ae4606e",
    "frame_token": "13b1c7b127494822990819c066d19d21",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.8292,0.5250> a traffic sign or a road barrier considering the color quantization effect?",
    "answer": "No, Explanation: The object is a red car, not a traffic sign or road barrier, even under color quantization.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-43-59-0400__CAM_FRONT__1537296500662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_LEFT__1537296500654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_RIGHT__1537296500670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-43-59-0400__CAM_BACK__1537296500687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-43-59-0400__CAM_BACK_LEFT__1537296500697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_BACK_RIGHT__1537296500678113.jpg"
    }
  },
  {
    "scene_token": "37cfda558193400bbe3a5ff14ae4606e",
    "frame_token": "13b1c7b127494822990819c066d19d21",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.8292,0.5250> considering the color quantization effect? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue. The probability is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-43-59-0400__CAM_FRONT__1537296500662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_LEFT__1537296500654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_RIGHT__1537296500670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-43-59-0400__CAM_BACK__1537296500687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-43-59-0400__CAM_BACK_LEFT__1537296500697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_BACK_RIGHT__1537296500678113.jpg"
    }
  },
  {
    "scene_token": "37cfda558193400bbe3a5ff14ae4606e",
    "frame_token": "13b1c7b127494822990819c066d19d21",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c3,CAM_FRONT,0.4748,0.5524> under the color quantization effect?",
    "answer": "Accelerating and going straight can lead to a collision with <c3,CAM_FRONT,0.4748,0.5524>.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-43-59-0400__CAM_FRONT__1537296500662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_LEFT__1537296500654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_RIGHT__1537296500670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-43-59-0400__CAM_BACK__1537296500687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-43-59-0400__CAM_BACK_LEFT__1537296500697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_BACK_RIGHT__1537296500678113.jpg"
    }
  },
  {
    "scene_token": "37cfda558193400bbe3a5ff14ae4606e",
    "frame_token": "13b1c7b127494822990819c066d19d21",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization. Include both general description and key objects and their positions.",
    "answer": "The environment is urban with several moving vehicles and a traffic light. The color quantization effect makes the scene appear with reduced color detail, but key objects are still identifiable. A red car is moving ahead at coordinates <c1,CAM_FRONT,0.8292,0.5250>. A blue and white commercial vehicle is also moving ahead at <c2,CAM_FRONT,0.1042,0.6347>. A black pickup truck is positioned at <c3,CAM_FRONT,0.4748,0.5524>, and a white truck is at <c4,CAM_FRONT,0.3286,0.5130>. A green light is visible at <c5,CAM_FRONT,0.6604,0.3031>, indicating that the ego vehicle can proceed.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-43-59-0400__CAM_FRONT__1537296500662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_LEFT__1537296500654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_RIGHT__1537296500670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-43-59-0400__CAM_BACK__1537296500687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-43-59-0400__CAM_BACK_LEFT__1537296500697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_BACK_RIGHT__1537296500678113.jpg"
    }
  },
  {
    "scene_token": "f4395dd8e4004f12a8dec3079a93d804",
    "frame_token": "1ddc0dd26d6d4a4b83308a2d5d265523",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Fog. C. Dark. D. Zoom blur",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532662704412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532662704404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532662704420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532662704437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532662704447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532662704427893.jpg"
    }
  },
  {
    "scene_token": "f4395dd8e4004f12a8dec3079a93d804",
    "frame_token": "1ddc0dd26d6d4a4b83308a2d5d265523",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black sedan to the front right of the ego vehicle, a motorcycle to the front of the ego vehicle, a silver sedan to the back of the ego vehicle, a white sedan to the back of the ego vehicle, and a motorcycle to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_RIGHT,0.7146,0.5602>, <c2,CAM_FRONT,0.6989,0.6028>, <c3,CAM_BACK,0.4177,0.6019>, <c4,CAM_BACK,0.5261,0.5861>, and <c5,CAM_FRONT,0.8724,0.7047>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532662704412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532662704404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532662704420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532662704437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532662704447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532662704427893.jpg"
    }
  },
  {
    "scene_token": "f4395dd8e4004f12a8dec3079a93d804",
    "frame_token": "1ddc0dd26d6d4a4b83308a2d5d265523",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c3,CAM_BACK,0.4177,0.6019> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn right. C. Turn left.",
    "answer": "A, Explanation: The object is a silver sedan, and it is moving ahead despite the colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532662704412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532662704404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532662704420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532662704437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532662704447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532662704427893.jpg"
    }
  },
  {
    "scene_token": "f4395dd8e4004f12a8dec3079a93d804",
    "frame_token": "1ddc0dd26d6d4a4b83308a2d5d265523",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_RIGHT,0.7146,0.5602> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a black sedan, not a traffic sign or road barrier, even under colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532662704412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532662704404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532662704420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532662704437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532662704447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532662704427893.jpg"
    }
  },
  {
    "scene_token": "f4395dd8e4004f12a8dec3079a93d804",
    "frame_token": "1ddc0dd26d6d4a4b83308a2d5d265523",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT_RIGHT,0.7146,0.5602> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue, and the probability of taking this action is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532662704412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532662704404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532662704420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532662704437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532662704447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532662704427893.jpg"
    }
  },
  {
    "scene_token": "f4395dd8e4004f12a8dec3079a93d804",
    "frame_token": "1ddc0dd26d6d4a4b83308a2d5d265523",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, accelerate, and proceed.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532662704412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532662704404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532662704420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532662704437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532662704447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532662704427893.jpg"
    }
  },
  {
    "scene_token": "f4395dd8e4004f12a8dec3079a93d804",
    "frame_token": "1ddc0dd26d6d4a4b83308a2d5d265523",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, which alters the color representation of the scene. Despite this, key objects are identifiable: a black sedan is stationary to the front right (0.7146, 0.5602), a motorcycle is stationary in front (0.6989, 0.6028), a silver sedan is moving behind (0.4177, 0.6019), a white sedan is moving behind (0.5261, 0.5861), and another motorcycle is stationary in front (0.8724, 0.7047). The road appears to be clear, with visible lanes and some surrounding vegetation.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532662704412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532662704404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532662704420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532662704437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532662704447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532662704427893.jpg"
    }
  },
  {
    "scene_token": "221a67d95acf448ba863917ec4d32ed0",
    "frame_token": "dcb54abc782548afa5be3e77bc3dbeb2",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Bit error. C. H256 ABR compression. D. Rain",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535574004412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535574004404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535574004420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535574004437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535574004447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535574004428113.jpg"
    }
  },
  {
    "scene_token": "221a67d95acf448ba863917ec4d32ed0",
    "frame_token": "dcb54abc782548afa5be3e77bc3dbeb2",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.3839,0.5481> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "A, Explanation: The object is a black SUV moving ahead, and the colorquant corruption does not affect its movement direction.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535574004412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535574004404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535574004420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535574004437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535574004447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535574004428113.jpg"
    }
  },
  {
    "scene_token": "221a67d95acf448ba863917ec4d32ed0",
    "frame_token": "dcb54abc782548afa5be3e77bc3dbeb2",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black SUV to the front of the ego vehicle, a black car to the back of the ego vehicle, a black car to the front left of the ego vehicle, a black sedan to the back right of the ego vehicle, a black car to the front right of the ego vehicle, and a red light to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.3839,0.5481>, <c2,CAM_BACK,0.5683,0.6991>, <c3,CAM_FRONT_LEFT,0.9839,0.5852>, <c4,CAM_BACK_RIGHT,0.8155,0.7657>, <c5,CAM_FRONT_RIGHT,0.3433,0.5731>, and <c6,CAM_FRONT,0.5669,0.3339>. Despite the colorquant corruption, these objects remain identifiable.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535574004412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535574004404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535574004420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535574004437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535574004447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535574004428113.jpg"
    }
  },
  {
    "scene_token": "221a67d95acf448ba863917ec4d32ed0",
    "frame_token": "dcb54abc782548afa5be3e77bc3dbeb2",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.3839,0.5481> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a black SUV, and the colorquant corruption does not change its classification.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535574004412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535574004404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535574004420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535574004437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535574004447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535574004428113.jpg"
    }
  },
  {
    "scene_token": "221a67d95acf448ba863917ec4d32ed0",
    "frame_token": "dcb54abc782548afa5be3e77bc3dbeb2",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Brake suddenly, brake gently to a stop.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535574004412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535574004404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535574004420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535574004437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535574004447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535574004428113.jpg"
    }
  },
  {
    "scene_token": "221a67d95acf448ba863917ec4d32ed0",
    "frame_token": "dcb54abc782548afa5be3e77bc3dbeb2",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c3,CAM_FRONT_LEFT,0.9839,0.5852> under colorquant corruption?",
    "answer": "No such action will lead to a collision.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535574004412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535574004404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535574004420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535574004437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535574004447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535574004428113.jpg"
    }
  },
  {
    "scene_token": "221a67d95acf448ba863917ec4d32ed0",
    "frame_token": "dcb54abc782548afa5be3e77bc3dbeb2",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which alters the color palette, making it challenging to distinguish fine details. However, key objects remain identifiable: a black SUV is moving ahead at coordinates <c1,CAM_FRONT,0.3839,0.5481>, a stationary black car is behind at <c2,CAM_BACK,0.5683,0.6991>, and another moving black car is to the front left at <c3,CAM_FRONT_LEFT,0.9839,0.5852>. A stationary black sedan is positioned to the back right at <c4,CAM_BACK_RIGHT,0.8155,0.7657>, and a moving black car is to the front right at <c5,CAM_FRONT_RIGHT,0.3433,0.5731>. A red traffic light is visible ahead at <c6,CAM_FRONT,0.5669,0.3339>, indicating the need to stop.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535574004412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535574004404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535574004420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535574004437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535574004447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535574004428113.jpg"
    }
  },
  {
    "scene_token": "dcdea563c77544bb887de11d87619d3c",
    "frame_token": "0f6432a5c6824bed9cd2603e00e5f61e",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Bit error. B. Motion blur. C. Color quant. D. Bright",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297503412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297503404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297503420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297503437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297503447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297503428113.jpg"
    }
  },
  {
    "scene_token": "dcdea563c77544bb887de11d87619d3c",
    "frame_token": "0f6432a5c6824bed9cd2603e00e5f61e",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a gray car to the front right of the ego vehicle, a white truck to the front of the ego vehicle, a red car to the front of the ego vehicle, a white truck to the back of the ego vehicle, and a white truck to the front left of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_RIGHT,0.4151,0.5703>, <c2,CAM_FRONT,0.7714,0.4908>, <c3,CAM_FRONT,0.8896,0.5870>, <c4,CAM_BACK,0.2874,0.5519>, and <c5,CAM_FRONT_LEFT,0.4239,0.4528>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297503412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297503404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297503420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297503437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297503447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297503428113.jpg"
    }
  },
  {
    "scene_token": "dcdea563c77544bb887de11d87619d3c",
    "frame_token": "0f6432a5c6824bed9cd2603e00e5f61e",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c4,CAM_BACK,0.2874,0.5519> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn right. C. Turn left.",
    "answer": "A, Explanation: The object is a white truck moving ahead, and the colorquant corruption does not affect its movement status.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297503412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297503404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297503420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297503437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297503447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297503428113.jpg"
    }
  },
  {
    "scene_token": "dcdea563c77544bb887de11d87619d3c",
    "frame_token": "0f6432a5c6824bed9cd2603e00e5f61e",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_RIGHT,0.4151,0.5703> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a gray car, and the colorquant corruption does not change its category.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297503412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297503404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297503420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297503437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297503447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297503428113.jpg"
    }
  },
  {
    "scene_token": "dcdea563c77544bb887de11d87619d3c",
    "frame_token": "0f6432a5c6824bed9cd2603e00e5f61e",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT_RIGHT,0.4151,0.5703> under colorquant corruption?",
    "answer": "No such action will lead to a collision.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297503412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297503404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297503420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297503437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297503447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297503428113.jpg"
    }
  },
  {
    "scene_token": "dcdea563c77544bb887de11d87619d3c",
    "frame_token": "0f6432a5c6824bed9cd2603e00e5f61e",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, decelerate gradually without braking, and turn right.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297503412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297503404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297503420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297503437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297503447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297503428113.jpg"
    }
  },
  {
    "scene_token": "dcdea563c77544bb887de11d87619d3c",
    "frame_token": "0f6432a5c6824bed9cd2603e00e5f61e",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which alters the color perception, making it challenging to distinguish between objects. Despite this, key objects are identifiable: a gray car is stationary at the front right, a white truck is stationary directly in front, and a red car is also stationary in front. A moving white truck is behind the ego vehicle, and another moving white truck is to the front left. The environment appears urban with tall buildings and wet roads, indicating recent rain.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297503412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297503404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297503420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297503437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297503447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297503428113.jpg"
    }
  },
  {
    "scene_token": "f69f7b4cefb7493bb1a8185f6f01d137",
    "frame_token": "e2486e66dd0f471d8f72c7bbbf895b37",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Rain. B. Color quant. C. Motion blur. D. Dark",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-07-26-0400__CAM_FRONT__1537287266762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_LEFT__1537287266754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_RIGHT__1537287266770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-07-26-0400__CAM_BACK__1537287266787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-07-26-0400__CAM_BACK_LEFT__1537287266797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_BACK_RIGHT__1537287266778113.jpg"
    }
  },
  {
    "scene_token": "f69f7b4cefb7493bb1a8185f6f01d137",
    "frame_token": "e2486e66dd0f471d8f72c7bbbf895b37",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.5511,0.5314> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn right. C. Turn left.",
    "answer": "A, Explanation: The object is a white truck moving ahead, and the colorquant corruption does not affect its direction.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-07-26-0400__CAM_FRONT__1537287266762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_LEFT__1537287266754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_RIGHT__1537287266770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-07-26-0400__CAM_BACK__1537287266787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-07-26-0400__CAM_BACK_LEFT__1537287266797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_BACK_RIGHT__1537287266778113.jpg"
    }
  },
  {
    "scene_token": "f69f7b4cefb7493bb1a8185f6f01d137",
    "frame_token": "e2486e66dd0f471d8f72c7bbbf895b37",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white truck to the back of the ego vehicle, a silver sedan to the back of the ego vehicle, and a white sedan to the front of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.5511,0.5314>, <c2,CAM_BACK,0.3036,0.6352>, and <c3,CAM_FRONT,0.5440,0.5407>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-07-26-0400__CAM_FRONT__1537287266762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_LEFT__1537287266754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_RIGHT__1537287266770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-07-26-0400__CAM_BACK__1537287266787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-07-26-0400__CAM_BACK_LEFT__1537287266797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_BACK_RIGHT__1537287266778113.jpg"
    }
  },
  {
    "scene_token": "f69f7b4cefb7493bb1a8185f6f01d137",
    "frame_token": "e2486e66dd0f471d8f72c7bbbf895b37",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant corruption? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice that silver sedan at back camera. The object is stationary, so the ego vehicle should continue moving forward at the same speed. Secondly, notice that white truck at back camera. The object is moving forward, so the ego vehicle should continue moving forward at the same speed. Thirdly, notice that white sedan at front camera. The object is stationary, so the ego vehicle should continue moving forward at the same speed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-07-26-0400__CAM_FRONT__1537287266762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_LEFT__1537287266754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_RIGHT__1537287266770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-07-26-0400__CAM_BACK__1537287266787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-07-26-0400__CAM_BACK_LEFT__1537287266797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_BACK_RIGHT__1537287266778113.jpg"
    }
  },
  {
    "scene_token": "f69f7b4cefb7493bb1a8185f6f01d137",
    "frame_token": "e2486e66dd0f471d8f72c7bbbf895b37",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.5511,0.5314> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a white truck, not a traffic sign or road barrier, and the colorquant corruption does not change its classification.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-07-26-0400__CAM_FRONT__1537287266762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_LEFT__1537287266754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_RIGHT__1537287266770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-07-26-0400__CAM_BACK__1537287266787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-07-26-0400__CAM_BACK_LEFT__1537287266797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_BACK_RIGHT__1537287266778113.jpg"
    }
  },
  {
    "scene_token": "f69f7b4cefb7493bb1a8185f6f01d137",
    "frame_token": "e2486e66dd0f471d8f72c7bbbf895b37",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.5511,0.5314> under colorquant corruption?",
    "answer": "Brake suddenly.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-07-26-0400__CAM_FRONT__1537287266762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_LEFT__1537287266754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_RIGHT__1537287266770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-07-26-0400__CAM_BACK__1537287266787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-07-26-0400__CAM_BACK_LEFT__1537287266797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_BACK_RIGHT__1537287266778113.jpg"
    }
  },
  {
    "scene_token": "f69f7b4cefb7493bb1a8185f6f01d137",
    "frame_token": "e2486e66dd0f471d8f72c7bbbf895b37",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK,0.5511,0.5314> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed because there is no safety issue. The probability is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-07-26-0400__CAM_FRONT__1537287266762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_LEFT__1537287266754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_RIGHT__1537287266770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-07-26-0400__CAM_BACK__1537287266787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-07-26-0400__CAM_BACK_LEFT__1537287266797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_BACK_RIGHT__1537287266778113.jpg"
    }
  },
  {
    "scene_token": "f69f7b4cefb7493bb1a8185f6f01d137",
    "frame_token": "e2486e66dd0f471d8f72c7bbbf895b37",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which reduces the color depth and makes the environment appear with fewer colors. Despite this, key objects are still identifiable. A white truck is moving behind the ego vehicle at coordinates <c1,CAM_BACK,0.5511,0.5314>. A silver sedan is stationary behind the ego vehicle at coordinates <c2,CAM_BACK,0.3036,0.6352>. In front of the ego vehicle, a white sedan is stationary at coordinates <c3,CAM_FRONT,0.5440,0.5407>. The road and surroundings appear darker and less detailed due to the corruption.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-07-26-0400__CAM_FRONT__1537287266762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_LEFT__1537287266754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_RIGHT__1537287266770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-07-26-0400__CAM_BACK__1537287266787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-07-26-0400__CAM_BACK_LEFT__1537287266797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_BACK_RIGHT__1537287266778113.jpg"
    }
  },
  {
    "scene_token": "f69f7b4cefb7493bb1a8185f6f01d137",
    "frame_token": "642dc5e35de34640a7aaea82ae220717",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Sensor failure. B. Color quant. C. Motion blur. D. Bright",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-07-26-0400__CAM_FRONT__1537287269762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_LEFT__1537287269754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_RIGHT__1537287269770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-07-26-0400__CAM_BACK__1537287269787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-07-26-0400__CAM_BACK_LEFT__1537287269797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_BACK_RIGHT__1537287269778113.jpg"
    }
  },
  {
    "scene_token": "f69f7b4cefb7493bb1a8185f6f01d137",
    "frame_token": "642dc5e35de34640a7aaea82ae220717",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant conditions? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white truck to the back of the ego vehicle, a white sedan to the back of the ego vehicle, a white bus to the front of the ego vehicle, and a white sedan to the front of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.5558,0.5324>, <c2,CAM_BACK,0.4849,0.5500>, <c3,CAM_FRONT,0.4130,0.5278>, and <c4,CAM_FRONT,0.5544,0.5431>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-07-26-0400__CAM_FRONT__1537287269762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_LEFT__1537287269754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_RIGHT__1537287269770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-07-26-0400__CAM_BACK__1537287269787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-07-26-0400__CAM_BACK_LEFT__1537287269797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_BACK_RIGHT__1537287269778113.jpg"
    }
  },
  {
    "scene_token": "f69f7b4cefb7493bb1a8185f6f01d137",
    "frame_token": "642dc5e35de34640a7aaea82ae220717",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.5558,0.5324> under colorquant conditions? Please select the correct answer from the following options: A. Turn right. B. Going ahead. C. Turn left.",
    "answer": "B, Explanation: The object is a white truck and it is moving ahead.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-07-26-0400__CAM_FRONT__1537287269762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_LEFT__1537287269754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_RIGHT__1537287269770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-07-26-0400__CAM_BACK__1537287269787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-07-26-0400__CAM_BACK_LEFT__1537287269797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_BACK_RIGHT__1537287269778113.jpg"
    }
  },
  {
    "scene_token": "f69f7b4cefb7493bb1a8185f6f01d137",
    "frame_token": "642dc5e35de34640a7aaea82ae220717",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.5558,0.5324> a traffic sign or a road barrier under colorquant conditions?",
    "answer": "No, Explanation: The object is a white truck, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-07-26-0400__CAM_FRONT__1537287269762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_LEFT__1537287269754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_RIGHT__1537287269770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-07-26-0400__CAM_BACK__1537287269787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-07-26-0400__CAM_BACK_LEFT__1537287269797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_BACK_RIGHT__1537287269778113.jpg"
    }
  },
  {
    "scene_token": "f69f7b4cefb7493bb1a8185f6f01d137",
    "frame_token": "642dc5e35de34640a7aaea82ae220717",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK,0.5558,0.5324> under colorquant conditions? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue. The probability is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-07-26-0400__CAM_FRONT__1537287269762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_LEFT__1537287269754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_RIGHT__1537287269770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-07-26-0400__CAM_BACK__1537287269787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-07-26-0400__CAM_BACK_LEFT__1537287269797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_BACK_RIGHT__1537287269778113.jpg"
    }
  },
  {
    "scene_token": "f69f7b4cefb7493bb1a8185f6f01d137",
    "frame_token": "642dc5e35de34640a7aaea82ae220717",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.5558,0.5324> under colorquant conditions?",
    "answer": "Back up.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-07-26-0400__CAM_FRONT__1537287269762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_LEFT__1537287269754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_RIGHT__1537287269770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-07-26-0400__CAM_BACK__1537287269787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-07-26-0400__CAM_BACK_LEFT__1537287269797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_BACK_RIGHT__1537287269778113.jpg"
    }
  },
  {
    "scene_token": "f69f7b4cefb7493bb1a8185f6f01d137",
    "frame_token": "642dc5e35de34640a7aaea82ae220717",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant conditions. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant conditions, making the scene appear with reduced color depth. To the back of the ego vehicle, there is a moving white truck at coordinates <c1,CAM_BACK,0.5558,0.5324> and a stationary white sedan at <c2,CAM_BACK,0.4849,0.5500>. In front of the ego vehicle, a stationary white bus is located at <c3,CAM_FRONT,0.4130,0.5278> and a stationary white sedan at <c4,CAM_FRONT,0.5544,0.5431>. The overall visibility is reduced, but key objects remain identifiable.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-07-26-0400__CAM_FRONT__1537287269762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_LEFT__1537287269754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_RIGHT__1537287269770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-07-26-0400__CAM_BACK__1537287269787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-07-26-0400__CAM_BACK_LEFT__1537287269797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_BACK_RIGHT__1537287269778113.jpg"
    }
  },
  {
    "scene_token": "875e9b8b63b54263ba1edeb21faadea8",
    "frame_token": "53b149471b304153a5837d50c7e2d3be",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Bright. B. Bit error. C. Saturate. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-26-12-13-50-0400__CAM_FRONT__1532621985662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_LEFT__1532621985654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_RIGHT__1532621985670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-26-12-13-50-0400__CAM_BACK__1532621985687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-26-12-13-50-0400__CAM_BACK_LEFT__1532621985697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_BACK_RIGHT__1532621985678113.jpg"
    }
  },
  {
    "scene_token": "875e9b8b63b54263ba1edeb21faadea8",
    "frame_token": "53b149471b304153a5837d50c7e2d3be",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT_RIGHT,0.4255,0.3713> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "B, Explanation: The object is a yellow carriage and it is moving ahead despite the colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-26-12-13-50-0400__CAM_FRONT__1532621985662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_LEFT__1532621985654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_RIGHT__1532621985670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-26-12-13-50-0400__CAM_BACK__1532621985687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-26-12-13-50-0400__CAM_BACK_LEFT__1532621985697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_BACK_RIGHT__1532621985678113.jpg"
    }
  },
  {
    "scene_token": "875e9b8b63b54263ba1edeb21faadea8",
    "frame_token": "53b149471b304153a5837d50c7e2d3be",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a yellow carriage to the front right of the ego vehicle, a white truck to the front of the ego vehicle, and another white truck to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_RIGHT,0.4255,0.3713>, <c2,CAM_FRONT,0.6474,0.5130>, and <c3,CAM_FRONT,0.7626,0.5111>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-26-12-13-50-0400__CAM_FRONT__1532621985662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_LEFT__1532621985654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_RIGHT__1532621985670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-26-12-13-50-0400__CAM_BACK__1532621985687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-26-12-13-50-0400__CAM_BACK_LEFT__1532621985697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_BACK_RIGHT__1532621985678113.jpg"
    }
  },
  {
    "scene_token": "875e9b8b63b54263ba1edeb21faadea8",
    "frame_token": "53b149471b304153a5837d50c7e2d3be",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_RIGHT,0.4255,0.3713> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a yellow carriage, not a traffic sign or road barrier, even under colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-26-12-13-50-0400__CAM_FRONT__1532621985662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_LEFT__1532621985654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_RIGHT__1532621985670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-26-12-13-50-0400__CAM_BACK__1532621985687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-26-12-13-50-0400__CAM_BACK_LEFT__1532621985697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_BACK_RIGHT__1532621985678113.jpg"
    }
  },
  {
    "scene_token": "875e9b8b63b54263ba1edeb21faadea8",
    "frame_token": "53b149471b304153a5837d50c7e2d3be",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT_RIGHT,0.4255,0.3713> under colorquant corruption?",
    "answer": "Slight right turn.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-26-12-13-50-0400__CAM_FRONT__1532621985662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_LEFT__1532621985654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_RIGHT__1532621985670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-26-12-13-50-0400__CAM_BACK__1532621985687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-26-12-13-50-0400__CAM_BACK_LEFT__1532621985697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_BACK_RIGHT__1532621985678113.jpg"
    }
  },
  {
    "scene_token": "875e9b8b63b54263ba1edeb21faadea8",
    "frame_token": "53b149471b304153a5837d50c7e2d3be",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT_RIGHT,0.4255,0.3713> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is to maintain a safe distance, which is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-26-12-13-50-0400__CAM_FRONT__1532621985662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_LEFT__1532621985654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_RIGHT__1532621985670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-26-12-13-50-0400__CAM_BACK__1532621985687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-26-12-13-50-0400__CAM_BACK_LEFT__1532621985697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_BACK_RIGHT__1532621985678113.jpg"
    }
  },
  {
    "scene_token": "875e9b8b63b54263ba1edeb21faadea8",
    "frame_token": "53b149471b304153a5837d50c7e2d3be",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment appears dark and lacks color detail due to colorquant corruption. To the front right of the ego vehicle, there is a moving yellow carriage at coordinates (0.4255, 0.3713). Directly in front, there are two stationary white trucks at coordinates (0.6474, 0.5130) and (0.7626, 0.5111). The surrounding area includes industrial buildings and a fence, which are less distinct due to the corruption.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-26-12-13-50-0400__CAM_FRONT__1532621985662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_LEFT__1532621985654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_RIGHT__1532621985670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-26-12-13-50-0400__CAM_BACK__1532621985687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-26-12-13-50-0400__CAM_BACK_LEFT__1532621985697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_BACK_RIGHT__1532621985678113.jpg"
    }
  },
  {
    "scene_token": "befb96098dc14988ac468a6bd3cbd4a0",
    "frame_token": "82828760d5be4737be6719b1e565bedb",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Fog. B. Bit error. C. Bright. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-13-40-50-0400__CAM_FRONT__1535478894262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_LEFT__1535478894254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_RIGHT__1535478894270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-13-40-50-0400__CAM_BACK__1535478894287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-13-40-50-0400__CAM_BACK_LEFT__1535478894297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_BACK_RIGHT__1535478894278113.jpg"
    }
  },
  {
    "scene_token": "befb96098dc14988ac468a6bd3cbd4a0",
    "frame_token": "82828760d5be4737be6719b1e565bedb",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black pickup truck to the front right of the ego vehicle, a white sedan to the front right of the ego vehicle, a black sedan to the back of the ego vehicle, and a black sedan to the back right of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_RIGHT,0.4661,0.5750>, <c2,CAM_FRONT_RIGHT,0.0521,0.5547>, <c3,CAM_BACK,0.5229,0.6064>, and <c4,CAM_BACK_RIGHT,0.2703,0.6926>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-13-40-50-0400__CAM_FRONT__1535478894262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_LEFT__1535478894254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_RIGHT__1535478894270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-13-40-50-0400__CAM_BACK__1535478894287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-13-40-50-0400__CAM_BACK_LEFT__1535478894297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_BACK_RIGHT__1535478894278113.jpg"
    }
  },
  {
    "scene_token": "befb96098dc14988ac468a6bd3cbd4a0",
    "frame_token": "82828760d5be4737be6719b1e565bedb",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c3,CAM_BACK,0.5229,0.6064> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn right. C. Turn left.",
    "answer": "A, Explanation: The object is a moving black sedan located at the back of the ego vehicle.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-13-40-50-0400__CAM_FRONT__1535478894262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_LEFT__1535478894254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_RIGHT__1535478894270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-13-40-50-0400__CAM_BACK__1535478894287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-13-40-50-0400__CAM_BACK_LEFT__1535478894297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_BACK_RIGHT__1535478894278113.jpg"
    }
  },
  {
    "scene_token": "befb96098dc14988ac468a6bd3cbd4a0",
    "frame_token": "82828760d5be4737be6719b1e565bedb",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_RIGHT,0.4661,0.5750> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a stationary black pickup truck, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-13-40-50-0400__CAM_FRONT__1535478894262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_LEFT__1535478894254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_RIGHT__1535478894270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-13-40-50-0400__CAM_BACK__1535478894287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-13-40-50-0400__CAM_BACK_LEFT__1535478894297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_BACK_RIGHT__1535478894278113.jpg"
    }
  },
  {
    "scene_token": "befb96098dc14988ac468a6bd3cbd4a0",
    "frame_token": "82828760d5be4737be6719b1e565bedb",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT_RIGHT,0.4661,0.5750> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed, the reason being that there is no safety issue. The probability of this action is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-13-40-50-0400__CAM_FRONT__1535478894262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_LEFT__1535478894254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_RIGHT__1535478894270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-13-40-50-0400__CAM_BACK__1535478894287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-13-40-50-0400__CAM_BACK_LEFT__1535478894297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_BACK_RIGHT__1535478894278113.jpg"
    }
  },
  {
    "scene_token": "befb96098dc14988ac468a6bd3cbd4a0",
    "frame_token": "82828760d5be4737be6719b1e565bedb",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, accelerate, and proceed.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-13-40-50-0400__CAM_FRONT__1535478894262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_LEFT__1535478894254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_RIGHT__1535478894270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-13-40-50-0400__CAM_BACK__1535478894287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-13-40-50-0400__CAM_BACK_LEFT__1535478894297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_BACK_RIGHT__1535478894278113.jpg"
    }
  },
  {
    "scene_token": "befb96098dc14988ac468a6bd3cbd4a0",
    "frame_token": "82828760d5be4737be6719b1e565bedb",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which alters the color representation, making it challenging to perceive details. Key objects include a stationary black pickup truck at the front right, a stationary white sedan also at the front right, a moving black sedan at the back, and another stationary black sedan at the back right. The environment appears darker and less detailed, requiring careful analysis for safe navigation.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-13-40-50-0400__CAM_FRONT__1535478894262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_LEFT__1535478894254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_RIGHT__1535478894270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-13-40-50-0400__CAM_BACK__1535478894287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-13-40-50-0400__CAM_BACK_LEFT__1535478894297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_BACK_RIGHT__1535478894278113.jpg"
    }
  },
  {
    "scene_token": "2e3c0f308fcf4664bf7994053d7080b9",
    "frame_token": "a836f9819fed473189e13551ce393bd9",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Snow. C. Bright. D. Dark",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-26-12-13-50-0400__CAM_FRONT__1532622011412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_LEFT__1532622011404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_RIGHT__1532622011420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-26-12-13-50-0400__CAM_BACK__1532622011437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-26-12-13-50-0400__CAM_BACK_LEFT__1532622011447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_BACK_RIGHT__1532622011428113.jpg"
    }
  },
  {
    "scene_token": "2e3c0f308fcf4664bf7994053d7080b9",
    "frame_token": "a836f9819fed473189e13551ce393bd9",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under color quantization corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black car to the back of the ego vehicle, an orange construction vehicle to the front of the ego vehicle, a black sedan to the back of the ego vehicle, and a worker wearing fluorescent clothing to the front right of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.5771,0.5722>, <c2,CAM_FRONT,0.7026,0.5342>, <c3,CAM_BACK,0.5229,0.5583>, and <c4,CAM_FRONT_RIGHT,0.2739,0.6019>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-26-12-13-50-0400__CAM_FRONT__1532622011412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_LEFT__1532622011404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_RIGHT__1532622011420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-26-12-13-50-0400__CAM_BACK__1532622011437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-26-12-13-50-0400__CAM_BACK_LEFT__1532622011447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_BACK_RIGHT__1532622011428113.jpg"
    }
  },
  {
    "scene_token": "2e3c0f308fcf4664bf7994053d7080b9",
    "frame_token": "a836f9819fed473189e13551ce393bd9",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.5771,0.5722> under color quantization corruption? Please select the correct answer from the following options: A. Turn left. B. Turn right. C. Going ahead.",
    "answer": "C, Explanation: The object is a black car moving ahead, and the corruption does not affect its status.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-26-12-13-50-0400__CAM_FRONT__1532622011412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_LEFT__1532622011404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_RIGHT__1532622011420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-26-12-13-50-0400__CAM_BACK__1532622011437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-26-12-13-50-0400__CAM_BACK_LEFT__1532622011447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_BACK_RIGHT__1532622011428113.jpg"
    }
  },
  {
    "scene_token": "2e3c0f308fcf4664bf7994053d7080b9",
    "frame_token": "a836f9819fed473189e13551ce393bd9",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.5771,0.5722> a traffic sign or a road barrier under color quantization corruption?",
    "answer": "No, Explanation: The object is a black car, not a traffic sign or road barrier, and the corruption does not change its identity.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-26-12-13-50-0400__CAM_FRONT__1532622011412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_LEFT__1532622011404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_RIGHT__1532622011420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-26-12-13-50-0400__CAM_BACK__1532622011437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-26-12-13-50-0400__CAM_BACK_LEFT__1532622011447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_BACK_RIGHT__1532622011428113.jpg"
    }
  },
  {
    "scene_token": "2e3c0f308fcf4664bf7994053d7080b9",
    "frame_token": "a836f9819fed473189e13551ce393bd9",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK,0.5771,0.5722> under color quantization corruption? Why take this action and what's the probability?",
    "answer": "The action is to turn left. The reason is that there is no safety issue, with a high probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-26-12-13-50-0400__CAM_FRONT__1532622011412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_LEFT__1532622011404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_RIGHT__1532622011420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-26-12-13-50-0400__CAM_BACK__1532622011437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-26-12-13-50-0400__CAM_BACK_LEFT__1532622011447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_BACK_RIGHT__1532622011428113.jpg"
    }
  },
  {
    "scene_token": "2e3c0f308fcf4664bf7994053d7080b9",
    "frame_token": "a836f9819fed473189e13551ce393bd9",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.5771,0.5722> under color quantization corruption?",
    "answer": "Brake suddenly.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-26-12-13-50-0400__CAM_FRONT__1532622011412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_LEFT__1532622011404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_RIGHT__1532622011420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-26-12-13-50-0400__CAM_BACK__1532622011437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-26-12-13-50-0400__CAM_BACK_LEFT__1532622011447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_BACK_RIGHT__1532622011428113.jpg"
    }
  },
  {
    "scene_token": "2e3c0f308fcf4664bf7994053d7080b9",
    "frame_token": "a836f9819fed473189e13551ce393bd9",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by color quantization, causing a reduction in color detail and contrast. To the back of the ego vehicle, there is a moving black car at coordinates <c1,CAM_BACK,0.5771,0.5722>. In front, an orange construction vehicle is stationary at <c2,CAM_FRONT,0.7026,0.5342>. Another black sedan is stationary at the back at <c3,CAM_BACK,0.5229,0.5583>. A worker wearing fluorescent clothing is positioned to the front right at <c4,CAM_FRONT_RIGHT,0.2739,0.6019>. Despite the visual corruption, these objects remain identifiable.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-26-12-13-50-0400__CAM_FRONT__1532622011412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_LEFT__1532622011404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_FRONT_RIGHT__1532622011420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-26-12-13-50-0400__CAM_BACK__1532622011437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-26-12-13-50-0400__CAM_BACK_LEFT__1532622011447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-26-12-13-50-0400__CAM_BACK_RIGHT__1532622011428113.jpg"
    }
  },
  {
    "scene_token": "d0de3bf834b747179080898725b0f21d",
    "frame_token": "3640145bfc1442559913fd71d345bfa7",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. H256 ABR compression. C. Rain. D. Sensor failure",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-03-15-31-50+0800__CAM_FRONT__1533281750862460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-03-15-31-50+0800__CAM_FRONT_LEFT__1533281750854844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-03-15-31-50+0800__CAM_FRONT_RIGHT__1533281750870339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-03-15-31-50+0800__CAM_BACK__1533281750887525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-03-15-31-50+0800__CAM_BACK_LEFT__1533281750897423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-03-15-31-50+0800__CAM_BACK_RIGHT__1533281750877893.jpg"
    }
  },
  {
    "scene_token": "d0de3bf834b747179080898725b0f21d",
    "frame_token": "3640145bfc1442559913fd71d345bfa7",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_FRONT,0.3011,0.5408> under colorquant conditions? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "B, Explanation: The object is a silver SUV and is moving straight ahead despite the colorquant distortion.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-03-15-31-50+0800__CAM_FRONT__1533281750862460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-03-15-31-50+0800__CAM_FRONT_LEFT__1533281750854844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-03-15-31-50+0800__CAM_FRONT_RIGHT__1533281750870339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-03-15-31-50+0800__CAM_BACK__1533281750887525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-03-15-31-50+0800__CAM_BACK_LEFT__1533281750897423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-03-15-31-50+0800__CAM_BACK_RIGHT__1533281750877893.jpg"
    }
  },
  {
    "scene_token": "d0de3bf834b747179080898725b0f21d",
    "frame_token": "3640145bfc1442559913fd71d345bfa7",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant conditions? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a roadblock to the front right of the ego vehicle, a silver SUV to the front of the ego vehicle, and a white van to the front left of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_RIGHT,0.8620,0.8648>, <c2,CAM_FRONT,0.3011,0.5408>, and <c3,CAM_FRONT_LEFT,0.7688,0.4926>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-03-15-31-50+0800__CAM_FRONT__1533281750862460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-03-15-31-50+0800__CAM_FRONT_LEFT__1533281750854844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-03-15-31-50+0800__CAM_FRONT_RIGHT__1533281750870339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-03-15-31-50+0800__CAM_BACK__1533281750887525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-03-15-31-50+0800__CAM_BACK_LEFT__1533281750897423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-03-15-31-50+0800__CAM_BACK_RIGHT__1533281750877893.jpg"
    }
  },
  {
    "scene_token": "d0de3bf834b747179080898725b0f21d",
    "frame_token": "3640145bfc1442559913fd71d345bfa7",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant conditions? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice that silver SUV at front camera. The object is turning left, so the ego vehicle should turn left. Secondly, notice that white van at left camera. The object is turning left, so the ego vehicle should turn left. Thirdly, notice that roadblock at right camera. The object is a traffic sign, so the ego vehicle should turn left.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-03-15-31-50+0800__CAM_FRONT__1533281750862460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-03-15-31-50+0800__CAM_FRONT_LEFT__1533281750854844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-03-15-31-50+0800__CAM_FRONT_RIGHT__1533281750870339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-03-15-31-50+0800__CAM_BACK__1533281750887525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-03-15-31-50+0800__CAM_BACK_LEFT__1533281750897423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-03-15-31-50+0800__CAM_BACK_RIGHT__1533281750877893.jpg"
    }
  },
  {
    "scene_token": "d0de3bf834b747179080898725b0f21d",
    "frame_token": "3640145bfc1442559913fd71d345bfa7",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_RIGHT,0.8620,0.8648> a traffic sign or a road barrier under colorquant conditions?",
    "answer": "Yes, Explanation: The object is a roadblock, which is a type of road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-03-15-31-50+0800__CAM_FRONT__1533281750862460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-03-15-31-50+0800__CAM_FRONT_LEFT__1533281750854844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-03-15-31-50+0800__CAM_FRONT_RIGHT__1533281750870339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-03-15-31-50+0800__CAM_BACK__1533281750887525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-03-15-31-50+0800__CAM_BACK_LEFT__1533281750897423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-03-15-31-50+0800__CAM_BACK_RIGHT__1533281750877893.jpg"
    }
  },
  {
    "scene_token": "d0de3bf834b747179080898725b0f21d",
    "frame_token": "3640145bfc1442559913fd71d345bfa7",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c3,CAM_FRONT_LEFT,0.7688,0.4926> under colorquant conditions?",
    "answer": "No such action will lead to a collision.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-03-15-31-50+0800__CAM_FRONT__1533281750862460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-03-15-31-50+0800__CAM_FRONT_LEFT__1533281750854844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-03-15-31-50+0800__CAM_FRONT_RIGHT__1533281750870339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-03-15-31-50+0800__CAM_BACK__1533281750887525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-03-15-31-50+0800__CAM_BACK_LEFT__1533281750897423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-03-15-31-50+0800__CAM_BACK_RIGHT__1533281750877893.jpg"
    }
  },
  {
    "scene_token": "d0de3bf834b747179080898725b0f21d",
    "frame_token": "3640145bfc1442559913fd71d345bfa7",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c2,CAM_FRONT,0.3011,0.5408> under colorquant conditions? Why take this action and what's the probability?",
    "answer": "The action is to turn left. The reason is that there is no safety issue, and the probability is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-03-15-31-50+0800__CAM_FRONT__1533281750862460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-03-15-31-50+0800__CAM_FRONT_LEFT__1533281750854844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-03-15-31-50+0800__CAM_FRONT_RIGHT__1533281750870339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-03-15-31-50+0800__CAM_BACK__1533281750887525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-03-15-31-50+0800__CAM_BACK_LEFT__1533281750897423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-03-15-31-50+0800__CAM_BACK_RIGHT__1533281750877893.jpg"
    }
  },
  {
    "scene_token": "d0de3bf834b747179080898725b0f21d",
    "frame_token": "3640145bfc1442559913fd71d345bfa7",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant conditions. Include both general description and key objects and their positions.",
    "answer": "The environment appears distorted due to colorquant conditions, affecting the clarity of visual elements. Key objects include a roadblock to the front right of the ego vehicle, a silver SUV directly in front, and a white van to the front left. The road is lined with trees and buildings, and the lighting is uneven, creating challenges in perception.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-03-15-31-50+0800__CAM_FRONT__1533281750862460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-03-15-31-50+0800__CAM_FRONT_LEFT__1533281750854844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-03-15-31-50+0800__CAM_FRONT_RIGHT__1533281750870339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-03-15-31-50+0800__CAM_BACK__1533281750887525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-03-15-31-50+0800__CAM_BACK_LEFT__1533281750897423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-03-15-31-50+0800__CAM_BACK_RIGHT__1533281750877893.jpg"
    }
  },
  {
    "scene_token": "c7492bdc08f8450fa580b7787331f0c9",
    "frame_token": "03d958beb9f548399af3d8be08add385",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Sensor failure. C. Snow. D. Dark",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915778112465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915778104917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915778119956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915778137570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915778147295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915778127813.jpg"
    }
  },
  {
    "scene_token": "c7492bdc08f8450fa580b7787331f0c9",
    "frame_token": "03d958beb9f548399af3d8be08add385",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under color quantization corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black car to the back of the ego vehicle, a black sedan to the front of the ego vehicle, and a white coach to the front of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.3792,0.4953>, <c2,CAM_FRONT,0.9654,0.5342>, and <c3,CAM_FRONT,0.5389,0.4707>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915778112465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915778104917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915778119956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915778137570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915778147295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915778127813.jpg"
    }
  },
  {
    "scene_token": "c7492bdc08f8450fa580b7787331f0c9",
    "frame_token": "03d958beb9f548399af3d8be08add385",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.3792,0.4953> under color quantization corruption? Please select the correct answer from the following options: A. Turn right. B. Going ahead. C. Turn left.",
    "answer": "B, Explanation: The object is a black car that is moving ahead.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915778112465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915778104917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915778119956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915778137570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915778147295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915778127813.jpg"
    }
  },
  {
    "scene_token": "c7492bdc08f8450fa580b7787331f0c9",
    "frame_token": "03d958beb9f548399af3d8be08add385",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.3792,0.4953> a traffic sign or a road barrier under color quantization corruption?",
    "answer": "No, Explanation: The object is a black car, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915778112465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915778104917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915778119956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915778137570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915778147295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915778127813.jpg"
    }
  },
  {
    "scene_token": "c7492bdc08f8450fa580b7787331f0c9",
    "frame_token": "03d958beb9f548399af3d8be08add385",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under color quantization corruption? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly notice that black sedan at front camera; the object is stationary, so the ego vehicle should continue ahead at the same speed. Secondly notice that white coach at front camera; the object is turning right, so the ego vehicle should continue ahead at the same speed. Thirdly notice that black car at back camera; the object is going ahead, so the ego vehicle should continue ahead at the same speed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915778112465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915778104917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915778119956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915778137570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915778147295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915778127813.jpg"
    }
  },
  {
    "scene_token": "c7492bdc08f8450fa580b7787331f0c9",
    "frame_token": "03d958beb9f548399af3d8be08add385",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.3792,0.4953> under color quantization corruption?",
    "answer": "Brake suddenly.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915778112465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915778104917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915778119956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915778137570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915778147295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915778127813.jpg"
    }
  },
  {
    "scene_token": "c7492bdc08f8450fa580b7787331f0c9",
    "frame_token": "03d958beb9f548399af3d8be08add385",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK,0.3792,0.4953> under color quantization corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue. The probability is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915778112465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915778104917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915778119956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915778137570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915778147295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915778127813.jpg"
    }
  },
  {
    "scene_token": "c7492bdc08f8450fa580b7787331f0c9",
    "frame_token": "03d958beb9f548399af3d8be08add385",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization corruption. Include both general description and key objects and their positions.",
    "answer": "The environment appears distorted due to color quantization, affecting the clarity of objects. A black car is moving behind the ego vehicle at coordinates <c1,CAM_BACK,0.3792,0.4953>. In front, a stationary black sedan is located at <c2,CAM_FRONT,0.9654,0.5342>, and a white coach is moving at <c3,CAM_FRONT,0.5389,0.4707>. The road and surroundings are less distinct, making it challenging to perceive finer details.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915778112465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915778104917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915778119956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915778137570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915778147295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915778127813.jpg"
    }
  },
  {
    "scene_token": "57f5503bf63144b8bf450315e860f58e",
    "frame_token": "27ec52e7530d46f2ad6a9123ddea5538",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Zoom blur. B. Dark. C. Color quant. D. Sensor failure",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-16-03-24+0800__CAM_FRONT__1538985932262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_LEFT__1538985932254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_RIGHT__1538985932270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-16-03-24+0800__CAM_BACK__1538985932287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-16-03-24+0800__CAM_BACK_LEFT__1538985932297427.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_BACK_RIGHT__1538985932277893.jpg"
    }
  },
  {
    "scene_token": "57f5503bf63144b8bf450315e860f58e",
    "frame_token": "27ec52e7530d46f2ad6a9123ddea5538",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a silver business car to the front of the ego vehicle, a white SUV to the front of the ego vehicle, a black and white van to the back of the ego vehicle, and a black car to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.9573,0.6213>, <c2,CAM_FRONT,0.3609,0.5676>, <c3,CAM_BACK,0.5052,0.5630>, and <c4,CAM_FRONT,0.2458,0.5408>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-16-03-24+0800__CAM_FRONT__1538985932262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_LEFT__1538985932254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_RIGHT__1538985932270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-16-03-24+0800__CAM_BACK__1538985932287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-16-03-24+0800__CAM_BACK_LEFT__1538985932297427.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_BACK_RIGHT__1538985932277893.jpg"
    }
  },
  {
    "scene_token": "57f5503bf63144b8bf450315e860f58e",
    "frame_token": "27ec52e7530d46f2ad6a9123ddea5538",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_FRONT,0.3609,0.5676> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "B, Explanation: The object is a white SUV, and despite the colorquant corruption, it is identified as moving straight ahead.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-16-03-24+0800__CAM_FRONT__1538985932262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_LEFT__1538985932254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_RIGHT__1538985932270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-16-03-24+0800__CAM_BACK__1538985932287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-16-03-24+0800__CAM_BACK_LEFT__1538985932297427.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_BACK_RIGHT__1538985932277893.jpg"
    }
  },
  {
    "scene_token": "57f5503bf63144b8bf450315e860f58e",
    "frame_token": "27ec52e7530d46f2ad6a9123ddea5538",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.9573,0.6213> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a silver business car, not a traffic sign or road barrier, even under colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-16-03-24+0800__CAM_FRONT__1538985932262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_LEFT__1538985932254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_RIGHT__1538985932270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-16-03-24+0800__CAM_BACK__1538985932287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-16-03-24+0800__CAM_BACK_LEFT__1538985932297427.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_BACK_RIGHT__1538985932277893.jpg"
    }
  },
  {
    "scene_token": "57f5503bf63144b8bf450315e860f58e",
    "frame_token": "27ec52e7530d46f2ad6a9123ddea5538",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.9573,0.6213> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue. The probability of taking this action is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-16-03-24+0800__CAM_FRONT__1538985932262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_LEFT__1538985932254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_RIGHT__1538985932270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-16-03-24+0800__CAM_BACK__1538985932287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-16-03-24+0800__CAM_BACK_LEFT__1538985932297427.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_BACK_RIGHT__1538985932277893.jpg"
    }
  },
  {
    "scene_token": "57f5503bf63144b8bf450315e860f58e",
    "frame_token": "27ec52e7530d46f2ad6a9123ddea5538",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.9573,0.6213> under colorquant corruption?",
    "answer": "No action taken by the ego vehicle will lead to a collision with <c1,CAM_FRONT,0.9573,0.6213>.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-16-03-24+0800__CAM_FRONT__1538985932262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_LEFT__1538985932254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_RIGHT__1538985932270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-16-03-24+0800__CAM_BACK__1538985932287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-16-03-24+0800__CAM_BACK_LEFT__1538985932297427.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_BACK_RIGHT__1538985932277893.jpg"
    }
  },
  {
    "scene_token": "57f5503bf63144b8bf450315e860f58e",
    "frame_token": "27ec52e7530d46f2ad6a9123ddea5538",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, which alters the color representation of the scene. Despite this, key objects are identifiable: a stationary silver business car is located at the front of the ego vehicle with coordinates <c1,CAM_FRONT,0.9573,0.6213>. A moving white SUV is also in front with coordinates <c2,CAM_FRONT,0.3609,0.5676>. Behind the ego vehicle, a black and white van is moving, positioned at <c3,CAM_BACK,0.5052,0.5630>. Additionally, a moving black car is in front at <c4,CAM_FRONT,0.2458,0.5408>. The scene includes typical urban elements such as roads and traffic signs, though their colors may appear distorted.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-16-03-24+0800__CAM_FRONT__1538985932262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_LEFT__1538985932254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_RIGHT__1538985932270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-16-03-24+0800__CAM_BACK__1538985932287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-16-03-24+0800__CAM_BACK_LEFT__1538985932297427.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_BACK_RIGHT__1538985932277893.jpg"
    }
  },
  {
    "scene_token": "c6c092a66329470f836714f46b92d59b",
    "frame_token": "74f1506fb3f348a28783f117d9e50ff7",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Motion blur. B. Color quant. C. Zoom blur. D. Rain",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-03-52+0800__CAM_FRONT__1532401553612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-03-52+0800__CAM_FRONT_LEFT__1532401553604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-03-52+0800__CAM_FRONT_RIGHT__1532401553620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-03-52+0800__CAM_BACK__1532401553637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-03-52+0800__CAM_BACK_LEFT__1532401553647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-03-52+0800__CAM_BACK_RIGHT__1532401553627893.jpg"
    }
  },
  {
    "scene_token": "c6c092a66329470f836714f46b92d59b",
    "frame_token": "74f1506fb3f348a28783f117d9e50ff7",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white sedan to the front of the ego vehicle, a person wearing gray clothes to the back left of the ego vehicle, and a white truck to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.5120,0.6000>, <c2,CAM_BACK_LEFT,0.9261,0.5694>, and <c3,CAM_FRONT,0.4667,0.5861>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-03-52+0800__CAM_FRONT__1532401553612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-03-52+0800__CAM_FRONT_LEFT__1532401553604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-03-52+0800__CAM_FRONT_RIGHT__1532401553620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-03-52+0800__CAM_BACK__1532401553637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-03-52+0800__CAM_BACK_LEFT__1532401553647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-03-52+0800__CAM_BACK_RIGHT__1532401553627893.jpg"
    }
  },
  {
    "scene_token": "c6c092a66329470f836714f46b92d59b",
    "frame_token": "74f1506fb3f348a28783f117d9e50ff7",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.5120,0.6000> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn right. C. Turn left.",
    "answer": "A, Explanation: The object is a white sedan moving ahead, and the colorquant corruption does not affect its movement status.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-03-52+0800__CAM_FRONT__1532401553612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-03-52+0800__CAM_FRONT_LEFT__1532401553604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-03-52+0800__CAM_FRONT_RIGHT__1532401553620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-03-52+0800__CAM_BACK__1532401553637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-03-52+0800__CAM_BACK_LEFT__1532401553647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-03-52+0800__CAM_BACK_RIGHT__1532401553627893.jpg"
    }
  },
  {
    "scene_token": "c6c092a66329470f836714f46b92d59b",
    "frame_token": "74f1506fb3f348a28783f117d9e50ff7",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant corruption? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice that a person wearing gray clothes at left rear camera. The object is stationary, so the ego vehicle should keep going ahead at the same speed. Secondly, notice that white truck at front camera. The object is stationary, so the ego vehicle should slow down and go ahead. Thirdly, notice that white sedan at front camera. The object is going ahead, so the ego vehicle should slow down and go ahead.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-03-52+0800__CAM_FRONT__1532401553612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-03-52+0800__CAM_FRONT_LEFT__1532401553604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-03-52+0800__CAM_FRONT_RIGHT__1532401553620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-03-52+0800__CAM_BACK__1532401553637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-03-52+0800__CAM_BACK_LEFT__1532401553647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-03-52+0800__CAM_BACK_RIGHT__1532401553627893.jpg"
    }
  },
  {
    "scene_token": "c6c092a66329470f836714f46b92d59b",
    "frame_token": "74f1506fb3f348a28783f117d9e50ff7",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.5120,0.6000> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a white sedan, not a traffic sign or road barrier, and the colorquant corruption does not change its classification.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-03-52+0800__CAM_FRONT__1532401553612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-03-52+0800__CAM_FRONT_LEFT__1532401553604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-03-52+0800__CAM_FRONT_RIGHT__1532401553620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-03-52+0800__CAM_BACK__1532401553637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-03-52+0800__CAM_BACK_LEFT__1532401553647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-03-52+0800__CAM_BACK_RIGHT__1532401553627893.jpg"
    }
  },
  {
    "scene_token": "c6c092a66329470f836714f46b92d59b",
    "frame_token": "74f1506fb3f348a28783f117d9e50ff7",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.5120,0.6000> under colorquant corruption?",
    "answer": "Accelerating and going straight.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-03-52+0800__CAM_FRONT__1532401553612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-03-52+0800__CAM_FRONT_LEFT__1532401553604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-03-52+0800__CAM_FRONT_RIGHT__1532401553620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-03-52+0800__CAM_BACK__1532401553637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-03-52+0800__CAM_BACK_LEFT__1532401553647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-03-52+0800__CAM_BACK_RIGHT__1532401553627893.jpg"
    }
  },
  {
    "scene_token": "c6c092a66329470f836714f46b92d59b",
    "frame_token": "74f1506fb3f348a28783f117d9e50ff7",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.5120,0.6000> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to decelerate gradually without braking. The reason is that there is no safety issue. The probability is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-03-52+0800__CAM_FRONT__1532401553612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-03-52+0800__CAM_FRONT_LEFT__1532401553604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-03-52+0800__CAM_FRONT_RIGHT__1532401553620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-03-52+0800__CAM_BACK__1532401553637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-03-52+0800__CAM_BACK_LEFT__1532401553647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-03-52+0800__CAM_BACK_RIGHT__1532401553627893.jpg"
    }
  },
  {
    "scene_token": "c6c092a66329470f836714f46b92d59b",
    "frame_token": "74f1506fb3f348a28783f117d9e50ff7",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which reduces the color depth and makes the environment appear with fewer colors. In the front view, there is a white sedan moving ahead, positioned at coordinates <c1,CAM_FRONT,0.5120,0.6000>. To the back left, a stationary pedestrian wearing gray clothes is visible at coordinates <c2,CAM_BACK_LEFT,0.9261,0.5694>. Additionally, a stationary white truck is located in front of the ego vehicle at coordinates <c3,CAM_FRONT,0.4667,0.5861>. The surrounding buildings and vegetation appear with limited color variation, making it challenging to distinguish finer details.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-03-52+0800__CAM_FRONT__1532401553612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-03-52+0800__CAM_FRONT_LEFT__1532401553604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-03-52+0800__CAM_FRONT_RIGHT__1532401553620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-03-52+0800__CAM_BACK__1532401553637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-03-52+0800__CAM_BACK_LEFT__1532401553647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-03-52+0800__CAM_BACK_RIGHT__1532401553627893.jpg"
    }
  },
  {
    "scene_token": "9c7062b34e064d6ab42124f3f0be233d",
    "frame_token": "e9ea20ac2071464ca6b1b0491a334e7d",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Rain. B. Zoom blur. C. Snow. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-16-55-0400__CAM_FRONT__1535656873662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-16-55-0400__CAM_FRONT_LEFT__1535656873654804.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-16-55-0400__CAM_FRONT_RIGHT__1535656873670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-16-55-0400__CAM_BACK__1535656873687728.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-16-55-0400__CAM_BACK_LEFT__1535656873697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-16-55-0400__CAM_BACK_RIGHT__1535656873678113.jpg"
    }
  },
  {
    "scene_token": "9c7062b34e064d6ab42124f3f0be233d",
    "frame_token": "e9ea20ac2071464ca6b1b0491a334e7d",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT_RIGHT,0.1776,0.5926> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "A, Explanation: The object is a white SUV moving ahead, and the corruption does not affect its status.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-16-55-0400__CAM_FRONT__1535656873662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-16-55-0400__CAM_FRONT_LEFT__1535656873654804.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-16-55-0400__CAM_FRONT_RIGHT__1535656873670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-16-55-0400__CAM_BACK__1535656873687728.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-16-55-0400__CAM_BACK_LEFT__1535656873697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-16-55-0400__CAM_BACK_RIGHT__1535656873678113.jpg"
    }
  },
  {
    "scene_token": "9c7062b34e064d6ab42124f3f0be233d",
    "frame_token": "e9ea20ac2071464ca6b1b0491a334e7d",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white SUV to the front right of the ego vehicle, a white truck to the front of the ego vehicle, a red and white truck to the back left of the ego vehicle, a white sedan to the front right of the ego vehicle, a gray SUV to the front of the ego vehicle, and a black sedan to the back of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_RIGHT,0.1776,0.5926>, <c2,CAM_FRONT,0.8752,0.5097>, <c3,CAM_BACK_LEFT,0.4977,0.5059>, <c4,CAM_FRONT_RIGHT,0.3214,0.6186>, <c5,CAM_FRONT,0.7468,0.5991>, and <c6,CAM_BACK,0.5135,0.7259>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-16-55-0400__CAM_FRONT__1535656873662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-16-55-0400__CAM_FRONT_LEFT__1535656873654804.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-16-55-0400__CAM_FRONT_RIGHT__1535656873670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-16-55-0400__CAM_BACK__1535656873687728.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-16-55-0400__CAM_BACK_LEFT__1535656873697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-16-55-0400__CAM_BACK_RIGHT__1535656873678113.jpg"
    }
  },
  {
    "scene_token": "9c7062b34e064d6ab42124f3f0be233d",
    "frame_token": "e9ea20ac2071464ca6b1b0491a334e7d",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_RIGHT,0.1776,0.5926> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a white SUV, not a traffic sign or road barrier, and the corruption does not change its identity.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-16-55-0400__CAM_FRONT__1535656873662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-16-55-0400__CAM_FRONT_LEFT__1535656873654804.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-16-55-0400__CAM_FRONT_RIGHT__1535656873670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-16-55-0400__CAM_BACK__1535656873687728.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-16-55-0400__CAM_BACK_LEFT__1535656873697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-16-55-0400__CAM_BACK_RIGHT__1535656873678113.jpg"
    }
  },
  {
    "scene_token": "9c7062b34e064d6ab42124f3f0be233d",
    "frame_token": "e9ea20ac2071464ca6b1b0491a334e7d",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT_RIGHT,0.1776,0.5926> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to remain stationary. The reason for taking this action is to follow the traffic rules, with a high probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-16-55-0400__CAM_FRONT__1535656873662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-16-55-0400__CAM_FRONT_LEFT__1535656873654804.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-16-55-0400__CAM_FRONT_RIGHT__1535656873670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-16-55-0400__CAM_BACK__1535656873687728.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-16-55-0400__CAM_BACK_LEFT__1535656873697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-16-55-0400__CAM_BACK_RIGHT__1535656873678113.jpg"
    }
  },
  {
    "scene_token": "9c7062b34e064d6ab42124f3f0be233d",
    "frame_token": "e9ea20ac2071464ca6b1b0491a334e7d",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Brake suddenly, brake gently to a stop.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-16-55-0400__CAM_FRONT__1535656873662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-16-55-0400__CAM_FRONT_LEFT__1535656873654804.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-16-55-0400__CAM_FRONT_RIGHT__1535656873670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-16-55-0400__CAM_BACK__1535656873687728.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-16-55-0400__CAM_BACK_LEFT__1535656873697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-16-55-0400__CAM_BACK_RIGHT__1535656873678113.jpg"
    }
  },
  {
    "scene_token": "9c7062b34e064d6ab42124f3f0be233d",
    "frame_token": "e9ea20ac2071464ca6b1b0491a334e7d",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, which alters the color representation of the scene. Despite this, key objects are identifiable: a white SUV is moving to the front right (0.1776, 0.5926), a white truck is moving ahead (0.8752, 0.5097), a red and white truck is moving to the back left (0.4977, 0.5059), a white sedan is moving to the front right (0.3214, 0.6186), a gray SUV is moving ahead (0.7468, 0.5991), and a black sedan is stationary at the back (0.5135, 0.7259). The scene includes a mix of moving and stationary vehicles, with altered visual cues due to the corruption.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-16-55-0400__CAM_FRONT__1535656873662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-16-55-0400__CAM_FRONT_LEFT__1535656873654804.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-16-55-0400__CAM_FRONT_RIGHT__1535656873670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-16-55-0400__CAM_BACK__1535656873687728.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-16-55-0400__CAM_BACK_LEFT__1535656873697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-16-55-0400__CAM_BACK_RIGHT__1535656873678113.jpg"
    }
  },
  {
    "scene_token": "16c90eedfc7943a5a4c64e84d18876a2",
    "frame_token": "9ffb0eec69b64b16b6efda03c689314b",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Bright. C. Sensor failure. D. Zoom blur",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-11-29+0800__CAM_FRONT__1542799053762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-11-29+0800__CAM_FRONT_LEFT__1542799053754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-11-29+0800__CAM_FRONT_RIGHT__1542799053770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-11-29+0800__CAM_BACK__1542799053787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-11-29+0800__CAM_BACK_LEFT__1542799053797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-11-29+0800__CAM_BACK_RIGHT__1542799053777893.jpg"
    }
  },
  {
    "scene_token": "16c90eedfc7943a5a4c64e84d18876a2",
    "frame_token": "9ffb0eec69b64b16b6efda03c689314b",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black SUV to the front of the ego vehicle, a white sedan to the front of the ego vehicle, a black sedan car to the back of the ego vehicle, and a white SUV to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.7083,0.5917>, <c2,CAM_FRONT,0.6167,0.5537>, <c3,CAM_BACK,0.5354,0.5583>, and <c4,CAM_FRONT,0.4354,0.5417>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-11-29+0800__CAM_FRONT__1542799053762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-11-29+0800__CAM_FRONT_LEFT__1542799053754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-11-29+0800__CAM_FRONT_RIGHT__1542799053770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-11-29+0800__CAM_BACK__1542799053787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-11-29+0800__CAM_BACK_LEFT__1542799053797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-11-29+0800__CAM_BACK_RIGHT__1542799053777893.jpg"
    }
  },
  {
    "scene_token": "16c90eedfc7943a5a4c64e84d18876a2",
    "frame_token": "9ffb0eec69b64b16b6efda03c689314b",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.7083,0.5917> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "B, Explanation: The object is a black SUV moving ahead, and the corruption does not affect its status.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-11-29+0800__CAM_FRONT__1542799053762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-11-29+0800__CAM_FRONT_LEFT__1542799053754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-11-29+0800__CAM_FRONT_RIGHT__1542799053770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-11-29+0800__CAM_BACK__1542799053787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-11-29+0800__CAM_BACK_LEFT__1542799053797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-11-29+0800__CAM_BACK_RIGHT__1542799053777893.jpg"
    }
  },
  {
    "scene_token": "16c90eedfc7943a5a4c64e84d18876a2",
    "frame_token": "9ffb0eec69b64b16b6efda03c689314b",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.7083,0.5917> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a black SUV, not a traffic sign or road barrier, even under corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-11-29+0800__CAM_FRONT__1542799053762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-11-29+0800__CAM_FRONT_LEFT__1542799053754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-11-29+0800__CAM_FRONT_RIGHT__1542799053770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-11-29+0800__CAM_BACK__1542799053787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-11-29+0800__CAM_BACK_LEFT__1542799053797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-11-29+0800__CAM_BACK_RIGHT__1542799053777893.jpg"
    }
  },
  {
    "scene_token": "16c90eedfc7943a5a4c64e84d18876a2",
    "frame_token": "9ffb0eec69b64b16b6efda03c689314b",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.7083,0.5917> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is to maintain a safe distance, which is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-11-29+0800__CAM_FRONT__1542799053762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-11-29+0800__CAM_FRONT_LEFT__1542799053754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-11-29+0800__CAM_FRONT_RIGHT__1542799053770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-11-29+0800__CAM_BACK__1542799053787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-11-29+0800__CAM_BACK_LEFT__1542799053797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-11-29+0800__CAM_BACK_RIGHT__1542799053777893.jpg"
    }
  },
  {
    "scene_token": "16c90eedfc7943a5a4c64e84d18876a2",
    "frame_token": "9ffb0eec69b64b16b6efda03c689314b",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.7083,0.5917> under colorquant corruption?",
    "answer": "Moderate right turn.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-11-29+0800__CAM_FRONT__1542799053762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-11-29+0800__CAM_FRONT_LEFT__1542799053754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-11-29+0800__CAM_FRONT_RIGHT__1542799053770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-11-29+0800__CAM_BACK__1542799053787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-11-29+0800__CAM_BACK_LEFT__1542799053797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-11-29+0800__CAM_BACK_RIGHT__1542799053777893.jpg"
    }
  },
  {
    "scene_token": "16c90eedfc7943a5a4c64e84d18876a2",
    "frame_token": "9ffb0eec69b64b16b6efda03c689314b",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which alters the color representation, making it challenging to distinguish objects clearly. Despite this, key objects include a black SUV at the front center (0.7083, 0.5917), a white sedan slightly to the left (0.6167, 0.5537), a black sedan car at the back center (0.5354, 0.5583), and a white SUV further left (0.4354, 0.5417). The environment appears darker with less color detail, affecting visibility.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-11-29+0800__CAM_FRONT__1542799053762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-11-29+0800__CAM_FRONT_LEFT__1542799053754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-11-29+0800__CAM_FRONT_RIGHT__1542799053770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-11-29+0800__CAM_BACK__1542799053787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-11-29+0800__CAM_BACK_LEFT__1542799053797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-11-29+0800__CAM_BACK_RIGHT__1542799053777893.jpg"
    }
  },
  {
    "scene_token": "8c84164e752a4ab69d039a07c898f7af",
    "frame_token": "3bf6f0df3f494c8aad14df94d6b4e5b8",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Sensor failure. B. Rain. C. Fog. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-27-15-33-17+0800__CAM_FRONT__1538034046662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_LEFT__1538034046654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_RIGHT__1538034046670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-27-15-33-17+0800__CAM_BACK__1538034046687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-27-15-33-17+0800__CAM_BACK_LEFT__1538034046697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_BACK_RIGHT__1538034046677893.jpg"
    }
  },
  {
    "scene_token": "8c84164e752a4ab69d039a07c898f7af",
    "frame_token": "3bf6f0df3f494c8aad14df94d6b4e5b8",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a bicycle on the roadside to the front of the ego vehicle, a black sedan to the front of the ego vehicle, and a trash can to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.3583,0.5537>, <c2,CAM_FRONT,0.1148,0.5047>, and <c3,CAM_FRONT,0.7821,0.6447>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-27-15-33-17+0800__CAM_FRONT__1538034046662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_LEFT__1538034046654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_RIGHT__1538034046670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-27-15-33-17+0800__CAM_BACK__1538034046687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-27-15-33-17+0800__CAM_BACK_LEFT__1538034046697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_BACK_RIGHT__1538034046677893.jpg"
    }
  },
  {
    "scene_token": "8c84164e752a4ab69d039a07c898f7af",
    "frame_token": "3bf6f0df3f494c8aad14df94d6b4e5b8",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_FRONT,0.1148,0.5047> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "A, Explanation: The object is a black sedan moving ahead, and the corruption does not affect its movement.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-27-15-33-17+0800__CAM_FRONT__1538034046662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_LEFT__1538034046654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_RIGHT__1538034046670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-27-15-33-17+0800__CAM_BACK__1538034046687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-27-15-33-17+0800__CAM_BACK_LEFT__1538034046697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_BACK_RIGHT__1538034046677893.jpg"
    }
  },
  {
    "scene_token": "8c84164e752a4ab69d039a07c898f7af",
    "frame_token": "3bf6f0df3f494c8aad14df94d6b4e5b8",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant corruption? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice that trash can at front camera. The object is a traffic sign and the ego vehicle should continue ahead at the same speed. Secondly, notice that bicycle on the roadside at front camera. The object is stationary and the ego vehicle should continue ahead at the same speed. Thirdly, notice that black sedan at front camera. The object is moving ahead and the ego vehicle should continue ahead at the same speed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-27-15-33-17+0800__CAM_FRONT__1538034046662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_LEFT__1538034046654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_RIGHT__1538034046670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-27-15-33-17+0800__CAM_BACK__1538034046687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-27-15-33-17+0800__CAM_BACK_LEFT__1538034046697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_BACK_RIGHT__1538034046677893.jpg"
    }
  },
  {
    "scene_token": "8c84164e752a4ab69d039a07c898f7af",
    "frame_token": "3bf6f0df3f494c8aad14df94d6b4e5b8",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.3583,0.5537> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a bicycle on the roadside, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-27-15-33-17+0800__CAM_FRONT__1538034046662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_LEFT__1538034046654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_RIGHT__1538034046670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-27-15-33-17+0800__CAM_BACK__1538034046687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-27-15-33-17+0800__CAM_BACK_LEFT__1538034046697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_BACK_RIGHT__1538034046677893.jpg"
    }
  },
  {
    "scene_token": "8c84164e752a4ab69d039a07c898f7af",
    "frame_token": "3bf6f0df3f494c8aad14df94d6b4e5b8",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.3583,0.5537> under colorquant corruption?",
    "answer": "Accelerating and going straight.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-27-15-33-17+0800__CAM_FRONT__1538034046662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_LEFT__1538034046654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_RIGHT__1538034046670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-27-15-33-17+0800__CAM_BACK__1538034046687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-27-15-33-17+0800__CAM_BACK_LEFT__1538034046697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_BACK_RIGHT__1538034046677893.jpg"
    }
  },
  {
    "scene_token": "8c84164e752a4ab69d039a07c898f7af",
    "frame_token": "3bf6f0df3f494c8aad14df94d6b4e5b8",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Decelerate gradually without braking, and maintain the same speed.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-27-15-33-17+0800__CAM_FRONT__1538034046662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_LEFT__1538034046654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_RIGHT__1538034046670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-27-15-33-17+0800__CAM_BACK__1538034046687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-27-15-33-17+0800__CAM_BACK_LEFT__1538034046697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_BACK_RIGHT__1538034046677893.jpg"
    }
  },
  {
    "scene_token": "8c84164e752a4ab69d039a07c898f7af",
    "frame_token": "3bf6f0df3f494c8aad14df94d6b4e5b8",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is a suburban street scene with colorquant corruption affecting the visual clarity. The road is lined with trees and residential buildings. A bicycle is stationary on the roadside at coordinates <c1,CAM_FRONT,0.3583,0.5537>. A black sedan is moving ahead at coordinates <c2,CAM_FRONT,0.1148,0.5047>. A trash can is positioned at coordinates <c3,CAM_FRONT,0.7821,0.6447>. Despite the colorquant corruption, the key objects remain identifiable.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-27-15-33-17+0800__CAM_FRONT__1538034046662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_LEFT__1538034046654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_RIGHT__1538034046670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-27-15-33-17+0800__CAM_BACK__1538034046687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-27-15-33-17+0800__CAM_BACK_LEFT__1538034046697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_BACK_RIGHT__1538034046677893.jpg"
    }
  },
  {
    "scene_token": "3469d30a6e2a4d878fb0ff899346b7de",
    "frame_token": "011b8e758330400dbdf16d55c8a3571a",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Fog. B. H256 ABR compression. C. Dark. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535488027162404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535488027154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535488027170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535488027187558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535488027197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535488027178113.jpg"
    }
  },
  {
    "scene_token": "3469d30a6e2a4d878fb0ff899346b7de",
    "frame_token": "011b8e758330400dbdf16d55c8a3571a",
    "question_type": "robust_qas",
    "question": "Considering the color quantization corruption, what are the important objects in the current scene? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black car to the front of the ego vehicle, a white sedan to the front of the ego vehicle, a silver SUV to the back of the ego vehicle, a person in a wheelchair to the front right of the ego vehicle, and a yield to pedestrians to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.5833,0.5231>, <c2,CAM_FRONT,0.5339,0.5352>, <c3,CAM_BACK,0.5354,0.5741>, <c4,CAM_FRONT_RIGHT,0.0710,0.7817>, and <c5,CAM_FRONT,0.8222,0.5242>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535488027162404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535488027154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535488027170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535488027187558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535488027197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535488027178113.jpg"
    }
  },
  {
    "scene_token": "3469d30a6e2a4d878fb0ff899346b7de",
    "frame_token": "011b8e758330400dbdf16d55c8a3571a",
    "question_type": "robust_qas",
    "question": "With the color quantization effect, what is the moving status of object <c1,CAM_FRONT,0.5833,0.5231>? Please select the correct answer from the following options: A. Turn right. B. Going ahead. C. Turn left.",
    "answer": "B, Explanation: The object is a black car moving ahead, and the color quantization does not affect its trajectory.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535488027162404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535488027154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535488027170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535488027187558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535488027197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535488027178113.jpg"
    }
  },
  {
    "scene_token": "3469d30a6e2a4d878fb0ff899346b7de",
    "frame_token": "011b8e758330400dbdf16d55c8a3571a",
    "question_type": "robust_qas",
    "question": "Under the color quantization corruption, is <c1,CAM_FRONT,0.5833,0.5231> a traffic sign or a road barrier?",
    "answer": "No, Explanation: The object is a black car, not a traffic sign or road barrier, despite the color quantization effect.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535488027162404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535488027154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535488027170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535488027187558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535488027197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535488027178113.jpg"
    }
  },
  {
    "scene_token": "3469d30a6e2a4d878fb0ff899346b7de",
    "frame_token": "011b8e758330400dbdf16d55c8a3571a",
    "question_type": "robust_qas",
    "question": "Considering the color quantization effect, what are safe actions to take for the ego vehicle?",
    "answer": "Slightly offset to the left, decelerate gradually without braking.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535488027162404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535488027154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535488027170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535488027187558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535488027197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535488027178113.jpg"
    }
  },
  {
    "scene_token": "3469d30a6e2a4d878fb0ff899346b7de",
    "frame_token": "011b8e758330400dbdf16d55c8a3571a",
    "question_type": "robust_qas",
    "question": "With the presence of color quantization, what actions could the ego vehicle take based on <c1,CAM_FRONT,0.5833,0.5231>? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue. The probability is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535488027162404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535488027154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535488027170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535488027187558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535488027197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535488027178113.jpg"
    }
  },
  {
    "scene_token": "3469d30a6e2a4d878fb0ff899346b7de",
    "frame_token": "011b8e758330400dbdf16d55c8a3571a",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by color quantization, which reduces the color detail and contrast. Despite this, key objects are identifiable: a black car is moving ahead at coordinates <c1,CAM_FRONT,0.5833,0.5231>, and a white sedan is also moving ahead at <c2,CAM_FRONT,0.5339,0.5352>. Behind the ego vehicle, a silver SUV is moving at <c3,CAM_BACK,0.5354,0.5741>. To the front right, a person in a wheelchair is moving at <c4,CAM_FRONT_RIGHT,0.0710,0.7817>. A 'Yield to pedestrians' sign is visible at <c5,CAM_FRONT,0.8222,0.5242>. The environment consists of urban buildings lining the street, with reduced visibility due to the color quantization.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535488027162404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535488027154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535488027170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535488027187558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535488027197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535488027178113.jpg"
    }
  },
  {
    "scene_token": "37284f813cc74496971ff58f5d37400a",
    "frame_token": "04258e0aabb24146b5a50d889c20d753",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Fog. C. Bit error. D. Dark",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845520412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845520404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845520420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845520437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845520447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845520427893.jpg"
    }
  },
  {
    "scene_token": "37284f813cc74496971ff58f5d37400a",
    "frame_token": "04258e0aabb24146b5a50d889c20d753",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene considering the color quantization effect? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a brown car to the back of the ego vehicle, a white sedan to the front right of the ego vehicle, and a blue sedan to the back right of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.2677,0.6382>, <c2,CAM_FRONT_RIGHT,0.6359,0.5713>, and <c3,CAM_BACK_RIGHT,0.5479,0.6074>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845520412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845520404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845520420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845520437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845520447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845520427893.jpg"
    }
  },
  {
    "scene_token": "37284f813cc74496971ff58f5d37400a",
    "frame_token": "04258e0aabb24146b5a50d889c20d753",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.2677,0.6382> under the color quantization effect? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "A, Explanation: The object is a brown car, and despite the color quantization, it is still moving ahead.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845520412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845520404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845520420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845520437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845520447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845520427893.jpg"
    }
  },
  {
    "scene_token": "37284f813cc74496971ff58f5d37400a",
    "frame_token": "04258e0aabb24146b5a50d889c20d753",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under color quantization? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice blue sedan at right rear camera. It is stationary, so the ego vehicle should continue ahead at the same speed. Secondly, notice brown car at back camera. It is stationary, so the ego vehicle should continue ahead at the same speed. Thirdly, notice white sedan at right camera. It is stationary, so the ego vehicle should continue ahead at the same speed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845520412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845520404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845520420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845520437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845520447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845520427893.jpg"
    }
  },
  {
    "scene_token": "37284f813cc74496971ff58f5d37400a",
    "frame_token": "04258e0aabb24146b5a50d889c20d753",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.2677,0.6382> a traffic sign or a road barrier under the color quantization effect?",
    "answer": "No, Explanation: The object is a brown car, not a traffic sign or road barrier, even under color quantization.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845520412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845520404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845520420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845520437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845520447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845520427893.jpg"
    }
  },
  {
    "scene_token": "37284f813cc74496971ff58f5d37400a",
    "frame_token": "04258e0aabb24146b5a50d889c20d753",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.2677,0.6382> considering the color quantization effect?",
    "answer": "No such action will lead to a collision.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845520412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845520404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845520420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845520437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845520447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845520427893.jpg"
    }
  },
  {
    "scene_token": "37284f813cc74496971ff58f5d37400a",
    "frame_token": "04258e0aabb24146b5a50d889c20d753",
    "question_type": "robust_qas",
    "question": "In this scenario with color quantization, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, slightly offset to the left, and slightly offset to the right.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845520412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845520404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845520420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845520437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845520447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845520427893.jpg"
    }
  },
  {
    "scene_token": "37284f813cc74496971ff58f5d37400a",
    "frame_token": "04258e0aabb24146b5a50d889c20d753",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by color quantization, which reduces the color detail in the scene. Despite this, the key objects are identifiable: a brown car is moving behind the ego vehicle at coordinates <c1,CAM_BACK,0.2677,0.6382>, a white sedan is stationary to the front right at <c2,CAM_FRONT_RIGHT,0.6359,0.5713>, and a blue sedan is stationary to the back right at <c3,CAM_BACK_RIGHT,0.5479,0.6074>. The road and surrounding area appear with reduced color detail, making it challenging to discern finer details.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845520412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845520404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845520420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845520437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845520447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845520427893.jpg"
    }
  },
  {
    "scene_token": "37284f813cc74496971ff58f5d37400a",
    "frame_token": "fcafd3944ae64aaf908b18425694c4f3",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Zoom blur. C. Rain. D. Saturate",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845527662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845527654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845527670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845527687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845527697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845527677893.jpg"
    }
  },
  {
    "scene_token": "37284f813cc74496971ff58f5d37400a",
    "frame_token": "fcafd3944ae64aaf908b18425694c4f3",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black sedan to the back of the ego vehicle, a black car to the back of the ego vehicle, a black motorcycle to the front left of the ego vehicle, and a blue sedan to the front right of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.4886,0.5602>, <c2,CAM_BACK,0.5422,0.5750>, <c3,CAM_FRONT_LEFT,0.4750,0.8317>, and <c4,CAM_FRONT_RIGHT,0.6031,0.7083>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845527662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845527654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845527670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845527687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845527697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845527677893.jpg"
    }
  },
  {
    "scene_token": "37284f813cc74496971ff58f5d37400a",
    "frame_token": "fcafd3944ae64aaf908b18425694c4f3",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.4886,0.5602> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Turn right. C. Going ahead.",
    "answer": "B, Explanation: The object is a black sedan moving to the right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845527662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845527654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845527670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845527687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845527697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845527677893.jpg"
    }
  },
  {
    "scene_token": "37284f813cc74496971ff58f5d37400a",
    "frame_token": "fcafd3944ae64aaf908b18425694c4f3",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.4886,0.5602> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a black sedan, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845527662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845527654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845527670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845527687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845527697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845527677893.jpg"
    }
  },
  {
    "scene_token": "37284f813cc74496971ff58f5d37400a",
    "frame_token": "fcafd3944ae64aaf908b18425694c4f3",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK,0.4886,0.5602> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that the object has little reference value for the ego vehicle, with a high probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845527662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845527654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845527670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845527687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845527697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845527677893.jpg"
    }
  },
  {
    "scene_token": "37284f813cc74496971ff58f5d37400a",
    "frame_token": "fcafd3944ae64aaf908b18425694c4f3",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.4886,0.5602> under colorquant corruption?",
    "answer": "No action taken by the ego vehicle will lead to a collision with <c1,CAM_BACK,0.4886,0.5602>.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845527662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845527654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845527670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845527687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845527697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845527677893.jpg"
    }
  },
  {
    "scene_token": "37284f813cc74496971ff58f5d37400a",
    "frame_token": "fcafd3944ae64aaf908b18425694c4f3",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, which alters the color representation of the scene. To the back of the ego vehicle, there is a black sedan and a black car, both moving. In the front left, a black motorcycle is stationary, and to the front right, a blue sedan is also stationary. The scene is surrounded by buildings and vegetation, with the road appearing less distinct due to the color distortion.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845527662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845527654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845527670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845527687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845527697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845527677893.jpg"
    }
  },
  {
    "scene_token": "ab7f4909bc6c4841a12020355a7d505c",
    "frame_token": "10ef1bd29fb74b4789e8a648fb30764f",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Rain. B. Color quant. C. Zoom blur. D. Bit error",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-27-11-48-51-0400__CAM_FRONT__1535385114612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_LEFT__1535385114604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_RIGHT__1535385114620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-27-11-48-51-0400__CAM_BACK__1535385114637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-27-11-48-51-0400__CAM_BACK_LEFT__1535385114647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_BACK_RIGHT__1535385114628113.jpg"
    }
  },
  {
    "scene_token": "ab7f4909bc6c4841a12020355a7d505c",
    "frame_token": "10ef1bd29fb74b4789e8a648fb30764f",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.5052,0.5436> under colorquant conditions? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "A, Explanation: The object is a black car moving ahead, and the colorquant condition does not affect its movement.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-27-11-48-51-0400__CAM_FRONT__1535385114612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_LEFT__1535385114604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_RIGHT__1535385114620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-27-11-48-51-0400__CAM_BACK__1535385114637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-27-11-48-51-0400__CAM_BACK_LEFT__1535385114647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_BACK_RIGHT__1535385114628113.jpg"
    }
  },
  {
    "scene_token": "ab7f4909bc6c4841a12020355a7d505c",
    "frame_token": "10ef1bd29fb74b4789e8a648fb30764f",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant conditions? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black car to the back of the ego vehicle, a blue sedan to the front of the ego vehicle, and a black SUV to the back of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.5052,0.5436>, <c2,CAM_FRONT,0.7630,0.5814>, and <c3,CAM_BACK,0.6099,0.5602>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-27-11-48-51-0400__CAM_FRONT__1535385114612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_LEFT__1535385114604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_RIGHT__1535385114620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-27-11-48-51-0400__CAM_BACK__1535385114637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-27-11-48-51-0400__CAM_BACK_LEFT__1535385114647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_BACK_RIGHT__1535385114628113.jpg"
    }
  },
  {
    "scene_token": "ab7f4909bc6c4841a12020355a7d505c",
    "frame_token": "10ef1bd29fb74b4789e8a648fb30764f",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.5052,0.5436> a traffic sign or a road barrier under colorquant conditions?",
    "answer": "No, Explanation: The object is a black car, not a traffic sign or road barrier, and the colorquant condition does not change its identity.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-27-11-48-51-0400__CAM_FRONT__1535385114612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_LEFT__1535385114604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_RIGHT__1535385114620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-27-11-48-51-0400__CAM_BACK__1535385114637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-27-11-48-51-0400__CAM_BACK_LEFT__1535385114647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_BACK_RIGHT__1535385114628113.jpg"
    }
  },
  {
    "scene_token": "ab7f4909bc6c4841a12020355a7d505c",
    "frame_token": "10ef1bd29fb74b4789e8a648fb30764f",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant conditions? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly notice blue sedan at front camera. It is stationary, so the ego vehicle should keep going ahead at the same speed. Secondly notice black SUV at back camera. It is going ahead, so the ego vehicle should keep going ahead at the same speed. Thirdly notice black car at back camera. It is going ahead, so the ego vehicle should keep going ahead at the same speed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-27-11-48-51-0400__CAM_FRONT__1535385114612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_LEFT__1535385114604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_RIGHT__1535385114620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-27-11-48-51-0400__CAM_BACK__1535385114637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-27-11-48-51-0400__CAM_BACK_LEFT__1535385114647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_BACK_RIGHT__1535385114628113.jpg"
    }
  },
  {
    "scene_token": "ab7f4909bc6c4841a12020355a7d505c",
    "frame_token": "10ef1bd29fb74b4789e8a648fb30764f",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant conditions, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed and turn right.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-27-11-48-51-0400__CAM_FRONT__1535385114612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_LEFT__1535385114604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_RIGHT__1535385114620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-27-11-48-51-0400__CAM_BACK__1535385114637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-27-11-48-51-0400__CAM_BACK_LEFT__1535385114647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_BACK_RIGHT__1535385114628113.jpg"
    }
  },
  {
    "scene_token": "ab7f4909bc6c4841a12020355a7d505c",
    "frame_token": "10ef1bd29fb74b4789e8a648fb30764f",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK,0.5052,0.5436> under colorquant conditions? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that the object has little reference value for the ego vehicle, which is high probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-27-11-48-51-0400__CAM_FRONT__1535385114612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_LEFT__1535385114604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_RIGHT__1535385114620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-27-11-48-51-0400__CAM_BACK__1535385114637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-27-11-48-51-0400__CAM_BACK_LEFT__1535385114647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_BACK_RIGHT__1535385114628113.jpg"
    }
  },
  {
    "scene_token": "ab7f4909bc6c4841a12020355a7d505c",
    "frame_token": "10ef1bd29fb74b4789e8a648fb30764f",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant conditions. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant conditions, leading to a reduction in color detail and contrast. The road ahead is visible but lacks distinct color differentiation. A black car is moving behind the ego vehicle at coordinates <c1,CAM_BACK,0.5052,0.5436>. A blue sedan is stationary in front of the ego vehicle at coordinates <c2,CAM_FRONT,0.7630,0.5814>. Another black SUV is moving behind the ego vehicle at coordinates <c3,CAM_BACK,0.6099,0.5602>. Despite the colorquant effect, the positions and movements of these vehicles are discernible.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-27-11-48-51-0400__CAM_FRONT__1535385114612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_LEFT__1535385114604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_RIGHT__1535385114620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-27-11-48-51-0400__CAM_BACK__1535385114637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-27-11-48-51-0400__CAM_BACK_LEFT__1535385114647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_BACK_RIGHT__1535385114628113.jpg"
    }
  },
  {
    "scene_token": "52b30ecd104a4f4eab6f8f5684a73e56",
    "frame_token": "ee45b7c2598b4580920f96c5a97427be",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. H256 ABR compression. B. Rain. C. Color quant. D. Saturate",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-16-32-59+0800__CAM_FRONT__1533112796662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_LEFT__1533112796654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_RIGHT__1533112796670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-16-32-59+0800__CAM_BACK__1533112796687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-16-32-59+0800__CAM_BACK_LEFT__1533112796697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_BACK_RIGHT__1533112796677893.jpg"
    }
  },
  {
    "scene_token": "52b30ecd104a4f4eab6f8f5684a73e56",
    "frame_token": "ee45b7c2598b4580920f96c5a97427be",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene considering the color quantization effect? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a silver sedan to the front of the ego vehicle, a white truck to the front left of the ego vehicle, and pedestrians crossing the road to the front right of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.4161,0.5547>, <c2,CAM_FRONT_LEFT,0.5418,0.5173>, and <c3,CAM_FRONT_RIGHT,0.1156,0.7759>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-16-32-59+0800__CAM_FRONT__1533112796662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_LEFT__1533112796654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_RIGHT__1533112796670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-16-32-59+0800__CAM_BACK__1533112796687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-16-32-59+0800__CAM_BACK_LEFT__1533112796697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_BACK_RIGHT__1533112796677893.jpg"
    }
  },
  {
    "scene_token": "52b30ecd104a4f4eab6f8f5684a73e56",
    "frame_token": "ee45b7c2598b4580920f96c5a97427be",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.4161,0.5547> under the color quantization effect? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "B, Explanation: The object is a silver sedan moving ahead, unaffected by the color quantization.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-16-32-59+0800__CAM_FRONT__1533112796662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_LEFT__1533112796654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_RIGHT__1533112796670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-16-32-59+0800__CAM_BACK__1533112796687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-16-32-59+0800__CAM_BACK_LEFT__1533112796697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_BACK_RIGHT__1533112796677893.jpg"
    }
  },
  {
    "scene_token": "52b30ecd104a4f4eab6f8f5684a73e56",
    "frame_token": "ee45b7c2598b4580920f96c5a97427be",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under color quantization? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice that white truck at left camera. The object is stationary, so the ego vehicle should continue ahead at the same speed. Secondly, notice that pedestrians crossing the road at right camera. The object is going ahead, so the ego vehicle should continue ahead at the same speed. Thirdly, notice that silver sedan at front camera. The object is going ahead, so the ego vehicle should continue ahead at the same speed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-16-32-59+0800__CAM_FRONT__1533112796662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_LEFT__1533112796654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_RIGHT__1533112796670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-16-32-59+0800__CAM_BACK__1533112796687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-16-32-59+0800__CAM_BACK_LEFT__1533112796697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_BACK_RIGHT__1533112796677893.jpg"
    }
  },
  {
    "scene_token": "52b30ecd104a4f4eab6f8f5684a73e56",
    "frame_token": "ee45b7c2598b4580920f96c5a97427be",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.4161,0.5547> a traffic sign or a road barrier under the color quantization effect?",
    "answer": "No, Explanation: The object is a silver sedan, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-16-32-59+0800__CAM_FRONT__1533112796662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_LEFT__1533112796654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_RIGHT__1533112796670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-16-32-59+0800__CAM_BACK__1533112796687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-16-32-59+0800__CAM_BACK_LEFT__1533112796697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_BACK_RIGHT__1533112796677893.jpg"
    }
  },
  {
    "scene_token": "52b30ecd104a4f4eab6f8f5684a73e56",
    "frame_token": "ee45b7c2598b4580920f96c5a97427be",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.4161,0.5547> under color quantization?",
    "answer": "Accelerating and going straight.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-16-32-59+0800__CAM_FRONT__1533112796662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_LEFT__1533112796654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_RIGHT__1533112796670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-16-32-59+0800__CAM_BACK__1533112796687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-16-32-59+0800__CAM_BACK_LEFT__1533112796697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_BACK_RIGHT__1533112796677893.jpg"
    }
  },
  {
    "scene_token": "52b30ecd104a4f4eab6f8f5684a73e56",
    "frame_token": "ee45b7c2598b4580920f96c5a97427be",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c2,CAM_FRONT_LEFT,0.5418,0.5173> under color quantization? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that the object has little reference value for the ego vehicle, with a high probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-16-32-59+0800__CAM_FRONT__1533112796662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_LEFT__1533112796654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_RIGHT__1533112796670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-16-32-59+0800__CAM_BACK__1533112796687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-16-32-59+0800__CAM_BACK_LEFT__1533112796697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_BACK_RIGHT__1533112796677893.jpg"
    }
  },
  {
    "scene_token": "52b30ecd104a4f4eab6f8f5684a73e56",
    "frame_token": "ee45b7c2598b4580920f96c5a97427be",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by color quantization, which reduces the color detail and contrast. A silver sedan is moving ahead in front of the ego vehicle, positioned at coordinates <c1,CAM_FRONT,0.4161,0.5547>. To the front left, a white truck is stationary at coordinates <c2,CAM_FRONT_LEFT,0.5418,0.5173>. Pedestrians are crossing the road to the front right at coordinates <c3,CAM_FRONT_RIGHT,0.1156,0.7759>. The environment includes buildings on both sides, and the road is clear with no immediate obstacles.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-16-32-59+0800__CAM_FRONT__1533112796662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_LEFT__1533112796654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_FRONT_RIGHT__1533112796670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-16-32-59+0800__CAM_BACK__1533112796687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-16-32-59+0800__CAM_BACK_LEFT__1533112796697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-16-32-59+0800__CAM_BACK_RIGHT__1533112796677893.jpg"
    }
  },
  {
    "scene_token": "62d9a581c7114d90a48bacfb2a47b104",
    "frame_token": "83a7d0698a44472cad433f37783e0875",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Bit error. B. Saturate. C. Color quant. D. Fog",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535488194162404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535488194154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535488194170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535488194187558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535488194197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535488194178113.jpg"
    }
  },
  {
    "scene_token": "62d9a581c7114d90a48bacfb2a47b104",
    "frame_token": "83a7d0698a44472cad433f37783e0875",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a people on the roadside to the front of the ego vehicle, a blue sedan to the front of the ego vehicle, a silver SUV to the back of the ego vehicle, and a black car to the front left of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.6594,0.5463>, <c2,CAM_FRONT,0.5219,0.5380>, <c3,CAM_BACK,0.5427,0.5889>, and <c4,CAM_FRONT_LEFT,0.4286,0.7827>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535488194162404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535488194154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535488194170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535488194187558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535488194197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535488194178113.jpg"
    }
  },
  {
    "scene_token": "62d9a581c7114d90a48bacfb2a47b104",
    "frame_token": "83a7d0698a44472cad433f37783e0875",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_FRONT,0.5219,0.5380> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Turn right. C. Going ahead.",
    "answer": "C, Explanation: The object is a blue sedan moving ahead, and the colorquant corruption does not affect its trajectory.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535488194162404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535488194154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535488194170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535488194187558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535488194197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535488194178113.jpg"
    }
  },
  {
    "scene_token": "62d9a581c7114d90a48bacfb2a47b104",
    "frame_token": "83a7d0698a44472cad433f37783e0875",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.6594,0.5463> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a stationary pedestrian on the roadside, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535488194162404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535488194154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535488194170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535488194187558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535488194197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535488194178113.jpg"
    }
  },
  {
    "scene_token": "62d9a581c7114d90a48bacfb2a47b104",
    "frame_token": "83a7d0698a44472cad433f37783e0875",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.6594,0.5463> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is to follow the traffic rules, high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535488194162404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535488194154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535488194170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535488194187558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535488194197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535488194178113.jpg"
    }
  },
  {
    "scene_token": "62d9a581c7114d90a48bacfb2a47b104",
    "frame_token": "83a7d0698a44472cad433f37783e0875",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.6594,0.5463> under colorquant corruption?",
    "answer": "Slight right turn.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535488194162404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535488194154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535488194170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535488194187558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535488194197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535488194178113.jpg"
    }
  },
  {
    "scene_token": "62d9a581c7114d90a48bacfb2a47b104",
    "frame_token": "83a7d0698a44472cad433f37783e0875",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, reducing the color detail and making it challenging to distinguish objects clearly. The ego vehicle is surrounded by several key objects: a stationary pedestrian is located at the roadside to the front, identified as <c1,CAM_FRONT,0.6594,0.5463>. A blue sedan is moving ahead in front of the ego vehicle, identified as <c2,CAM_FRONT,0.5219,0.5380>. Behind the ego vehicle, a silver SUV is moving, identified as <c3,CAM_BACK,0.5427,0.5889>. To the front left, a black car is also moving, identified as <c4,CAM_FRONT_LEFT,0.4286,0.7827>. Despite the corruption, the scene maintains its structure, but visibility is compromised.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535488194162404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535488194154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535488194170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535488194187558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535488194197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535488194178113.jpg"
    }
  },
  {
    "scene_token": "f92422ed4b4e427194a4958ccf15709a",
    "frame_token": "401cbca10866445bb48f2b1bf0418231",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Snow. C. Bright. D. Zoom blur",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535573956512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535573956504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535573956520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535573956537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535573956547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535573956528113.jpg"
    }
  },
  {
    "scene_token": "f92422ed4b4e427194a4958ccf15709a",
    "frame_token": "401cbca10866445bb48f2b1bf0418231",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_BACK,0.1082,0.6444> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "A, Explanation: The object is a blue car moving ahead, and the colorquant corruption does not affect its trajectory.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535573956512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535573956504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535573956520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535573956537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535573956547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535573956528113.jpg"
    }
  },
  {
    "scene_token": "f92422ed4b4e427194a4958ccf15709a",
    "frame_token": "401cbca10866445bb48f2b1bf0418231",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black SUV to the back of the ego vehicle, a blue car to the back of the ego vehicle, a white car to the front right of the ego vehicle, and a gray jacket pedestrian to the back right of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.5567,0.6936>, <c2,CAM_BACK,0.1082,0.6444>, <c3,CAM_FRONT_RIGHT,0.7864,0.6463>, and <c4,CAM_BACK_RIGHT,0.3453,0.6009>. The colorquant corruption affects the visual clarity but not the identification of these objects.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535573956512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535573956504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535573956520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535573956537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535573956547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535573956528113.jpg"
    }
  },
  {
    "scene_token": "f92422ed4b4e427194a4958ccf15709a",
    "frame_token": "401cbca10866445bb48f2b1bf0418231",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.5567,0.6936> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a black SUV, and the colorquant corruption does not change its classification.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535573956512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535573956504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535573956520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535573956537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535573956547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535573956528113.jpg"
    }
  },
  {
    "scene_token": "f92422ed4b4e427194a4958ccf15709a",
    "frame_token": "401cbca10866445bb48f2b1bf0418231",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK,0.5567,0.6936> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep stationary. The reason for taking this action is to follow the traffic rules, with a high probability. The colorquant corruption does not affect this decision.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535573956512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535573956504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535573956520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535573956537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535573956547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535573956528113.jpg"
    }
  },
  {
    "scene_token": "f92422ed4b4e427194a4958ccf15709a",
    "frame_token": "401cbca10866445bb48f2b1bf0418231",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Brake suddenly, brake gently to a stop. The colorquant corruption does not change the recommended actions.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535573956512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535573956504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535573956520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535573956537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535573956547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535573956528113.jpg"
    }
  },
  {
    "scene_token": "f92422ed4b4e427194a4958ccf15709a",
    "frame_token": "401cbca10866445bb48f2b1bf0418231",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which alters the color clarity of the environment. Despite this, key objects are still identifiable: a black SUV is stationary at the back of the ego vehicle (coordinates <c1,CAM_BACK,0.5567,0.6936>), a blue car is moving ahead at the back (coordinates <c2,CAM_BACK,0.1082,0.6444>), a white car is moving at the front right (coordinates <c3,CAM_FRONT_RIGHT,0.7864,0.6463>), and a pedestrian in a gray jacket is stationary at the back right (coordinates <c4,CAM_BACK_RIGHT,0.3453,0.6009>). The environment includes urban elements like buildings and traffic lights, though their colors are distorted.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535573956512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535573956504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535573956520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535573956537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535573956547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535573956528113.jpg"
    }
  },
  {
    "scene_token": "9f3c8453d03d4df5946444757376b826",
    "frame_token": "bb86669b15cf485d99d70c6b3c1f0602",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. JPEG compression. B. Saturate. C. Bright. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-07-26-0400__CAM_FRONT__1537287264162404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_LEFT__1537287264154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_RIGHT__1537287264170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-07-26-0400__CAM_BACK__1537287264187558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-07-26-0400__CAM_BACK_LEFT__1537287264197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_BACK_RIGHT__1537287264178113.jpg"
    }
  },
  {
    "scene_token": "9f3c8453d03d4df5946444757376b826",
    "frame_token": "bb86669b15cf485d99d70c6b3c1f0602",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under color quantization corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white sedan to the front of the ego vehicle, a white truck to the front of the ego vehicle, and a white truck to the back of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.7484,0.6028>, <c2,CAM_FRONT,0.7604,0.4963>, and <c3,CAM_BACK,0.5521,0.5342>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-07-26-0400__CAM_FRONT__1537287264162404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_LEFT__1537287264154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_RIGHT__1537287264170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-07-26-0400__CAM_BACK__1537287264187558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-07-26-0400__CAM_BACK_LEFT__1537287264197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_BACK_RIGHT__1537287264178113.jpg"
    }
  },
  {
    "scene_token": "9f3c8453d03d4df5946444757376b826",
    "frame_token": "bb86669b15cf485d99d70c6b3c1f0602",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c3,CAM_BACK,0.5521,0.5342> under color quantization corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "A, Explanation: The object is a white truck moving ahead, and its status remains unchanged despite the color quantization corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-07-26-0400__CAM_FRONT__1537287264162404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_LEFT__1537287264154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_RIGHT__1537287264170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-07-26-0400__CAM_BACK__1537287264187558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-07-26-0400__CAM_BACK_LEFT__1537287264197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_BACK_RIGHT__1537287264178113.jpg"
    }
  },
  {
    "scene_token": "9f3c8453d03d4df5946444757376b826",
    "frame_token": "bb86669b15cf485d99d70c6b3c1f0602",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under color quantization corruption? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly notice that white sedan at front camera; it is stationary, so the ego vehicle should keep going ahead at the same speed. Secondly notice that white truck at front camera; it is stationary, so the ego vehicle should keep going ahead at the same speed. Thirdly notice that white truck at back camera; the object is going ahead, so the ego vehicle should keep going ahead at the same speed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-07-26-0400__CAM_FRONT__1537287264162404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_LEFT__1537287264154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_RIGHT__1537287264170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-07-26-0400__CAM_BACK__1537287264187558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-07-26-0400__CAM_BACK_LEFT__1537287264197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_BACK_RIGHT__1537287264178113.jpg"
    }
  },
  {
    "scene_token": "9f3c8453d03d4df5946444757376b826",
    "frame_token": "bb86669b15cf485d99d70c6b3c1f0602",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.7484,0.6028> a traffic sign or a road barrier under color quantization corruption?",
    "answer": "No, Explanation: The object is a white sedan, not a traffic sign or road barrier, and its identification remains clear despite the color quantization corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-07-26-0400__CAM_FRONT__1537287264162404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_LEFT__1537287264154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_RIGHT__1537287264170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-07-26-0400__CAM_BACK__1537287264187558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-07-26-0400__CAM_BACK_LEFT__1537287264197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_BACK_RIGHT__1537287264178113.jpg"
    }
  },
  {
    "scene_token": "9f3c8453d03d4df5946444757376b826",
    "frame_token": "bb86669b15cf485d99d70c6b3c1f0602",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.7484,0.6028> under color quantization corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue. The probability is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-07-26-0400__CAM_FRONT__1537287264162404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_LEFT__1537287264154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_RIGHT__1537287264170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-07-26-0400__CAM_BACK__1537287264187558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-07-26-0400__CAM_BACK_LEFT__1537287264197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_BACK_RIGHT__1537287264178113.jpg"
    }
  },
  {
    "scene_token": "9f3c8453d03d4df5946444757376b826",
    "frame_token": "bb86669b15cf485d99d70c6b3c1f0602",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.7484,0.6028> under color quantization corruption?",
    "answer": "Changing to the right lane.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-07-26-0400__CAM_FRONT__1537287264162404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_LEFT__1537287264154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_RIGHT__1537287264170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-07-26-0400__CAM_BACK__1537287264187558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-07-26-0400__CAM_BACK_LEFT__1537287264197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_BACK_RIGHT__1537287264178113.jpg"
    }
  },
  {
    "scene_token": "9f3c8453d03d4df5946444757376b826",
    "frame_token": "bb86669b15cf485d99d70c6b3c1f0602",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by color quantization, leading to reduced color detail and contrast. A white sedan is stationary at the front of the ego vehicle, located at coordinates <c1,CAM_FRONT,0.7484,0.6028>. A white truck is also stationary at the front, positioned at <c2,CAM_FRONT,0.7604,0.4963>. Another white truck is moving behind the ego vehicle at <c3,CAM_BACK,0.5521,0.5342>. The overall visibility is compromised, but key objects remain identifiable.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-07-26-0400__CAM_FRONT__1537287264162404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_LEFT__1537287264154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_RIGHT__1537287264170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-07-26-0400__CAM_BACK__1537287264187558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-07-26-0400__CAM_BACK_LEFT__1537287264197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_BACK_RIGHT__1537287264178113.jpg"
    }
  },
  {
    "scene_token": "2cc8ffb250c44b42a888e9185810e04c",
    "frame_token": "d466a127beef449a96382817e792b0eb",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Rain. B. Color quant. C. Dark. D. Sensor failure",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537298967912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537298967904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537298967920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537298967937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537298967947414.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537298967928113.jpg"
    }
  },
  {
    "scene_token": "2cc8ffb250c44b42a888e9185810e04c",
    "frame_token": "d466a127beef449a96382817e792b0eb",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c3,CAM_FRONT,0.7406,0.5500> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn right. C. Turn left.",
    "answer": "A, Explanation: The object is a moving black sedan going ahead, and the colorquant corruption does not affect its movement direction.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537298967912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537298967904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537298967920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537298967937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537298967947414.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537298967928113.jpg"
    }
  },
  {
    "scene_token": "2cc8ffb250c44b42a888e9185810e04c",
    "frame_token": "d466a127beef449a96382817e792b0eb",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white motorhome to the back of the ego vehicle, a black car to the back of the ego vehicle, a black sedan to the front of the ego vehicle, and a black sedan to the front left of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.5167,0.5063>, <c2,CAM_BACK,0.8479,0.7574>, <c3,CAM_FRONT,0.7406,0.5500>, and <c4,CAM_FRONT_LEFT,0.3858,0.7372>. The colorquant corruption may affect the visual clarity but not the identification of these objects.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537298967912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537298967904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537298967920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537298967937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537298967947414.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537298967928113.jpg"
    }
  },
  {
    "scene_token": "2cc8ffb250c44b42a888e9185810e04c",
    "frame_token": "d466a127beef449a96382817e792b0eb",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.5167,0.5063> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a stationary white motorhome, and the colorquant corruption does not change its category.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537298967912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537298967904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537298967920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537298967937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537298967947414.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537298967928113.jpg"
    }
  },
  {
    "scene_token": "2cc8ffb250c44b42a888e9185810e04c",
    "frame_token": "d466a127beef449a96382817e792b0eb",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK,0.5167,0.5063> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to remain stationary. The reason for this action is to follow the traffic rules, which has a high probability. The colorquant corruption does not affect the decision to remain stationary.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537298967912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537298967904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537298967920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537298967937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537298967947414.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537298967928113.jpg"
    }
  },
  {
    "scene_token": "2cc8ffb250c44b42a888e9185810e04c",
    "frame_token": "d466a127beef449a96382817e792b0eb",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Brake gently to a stop, slightly offset to the left, and slightly offset to the right. The colorquant corruption does not affect these safe actions.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537298967912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537298967904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537298967920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537298967937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537298967947414.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537298967928113.jpg"
    }
  },
  {
    "scene_token": "2cc8ffb250c44b42a888e9185810e04c",
    "frame_token": "d466a127beef449a96382817e792b0eb",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is an urban setting with several buildings visible in the background. The colorquant corruption has altered the color clarity, making the scene appear darker and less distinct. Key objects include a stationary white motorhome located at the back of the ego vehicle (<c1,CAM_BACK,0.5167,0.5063>), a stationary black car also at the back (<c2,CAM_BACK,0.8479,0.7574>), a moving black sedan at the front (<c3,CAM_FRONT,0.7406,0.5500>), and another stationary black sedan at the front left (<c4,CAM_FRONT_LEFT,0.3858,0.7372>). Despite the color distortion, the positions and statuses of these objects remain identifiable.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537298967912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537298967904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537298967920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537298967937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537298967947414.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537298967928113.jpg"
    }
  },
  {
    "scene_token": "2cc8ffb250c44b42a888e9185810e04c",
    "frame_token": "01df3b9136484a5d8af9f2547f8ebfb8",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Rain. C. Zoom blur. D. Bright",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537298962362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537298962354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537298962370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537298962387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537298962397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537298962378113.jpg"
    }
  },
  {
    "scene_token": "2cc8ffb250c44b42a888e9185810e04c",
    "frame_token": "01df3b9136484a5d8af9f2547f8ebfb8",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white truck to the back of the ego vehicle, a black car to the back of the ego vehicle, a gray SUV to the front of the ego vehicle, a white truck to the front of the ego vehicle, a black sedan to the front of the ego vehicle, and a gray sedan to the front of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.4979,0.5498>, <c2,CAM_BACK,0.8615,0.7547>, <c3,CAM_FRONT,0.4042,0.5444>, <c4,CAM_FRONT,0.6797,0.4583>, <c5,CAM_FRONT,0.3198,0.5436>, and <c6,CAM_FRONT,0.2245,0.5444>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537298962362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537298962354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537298962370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537298962387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537298962397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537298962378113.jpg"
    }
  },
  {
    "scene_token": "2cc8ffb250c44b42a888e9185810e04c",
    "frame_token": "01df3b9136484a5d8af9f2547f8ebfb8",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c3,CAM_FRONT,0.4042,0.5444> under colorquant corruption? Please select the correct answer from the following options: A. Turn right. B. Turn left. C. Going ahead.",
    "answer": "B, Explanation: The object is a gray SUV moving to the left.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537298962362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537298962354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537298962370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537298962387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537298962397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537298962378113.jpg"
    }
  },
  {
    "scene_token": "2cc8ffb250c44b42a888e9185810e04c",
    "frame_token": "01df3b9136484a5d8af9f2547f8ebfb8",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.4979,0.5498> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a white truck, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537298962362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537298962354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537298962370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537298962387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537298962397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537298962378113.jpg"
    }
  },
  {
    "scene_token": "2cc8ffb250c44b42a888e9185810e04c",
    "frame_token": "01df3b9136484a5d8af9f2547f8ebfb8",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Brake suddenly, slightly offset to the right.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537298962362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537298962354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537298962370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537298962387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537298962397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537298962378113.jpg"
    }
  },
  {
    "scene_token": "2cc8ffb250c44b42a888e9185810e04c",
    "frame_token": "01df3b9136484a5d8af9f2547f8ebfb8",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.4979,0.5498> under colorquant corruption?",
    "answer": "Back up.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537298962362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537298962354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537298962370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537298962387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537298962397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537298962378113.jpg"
    }
  },
  {
    "scene_token": "2cc8ffb250c44b42a888e9185810e04c",
    "frame_token": "01df3b9136484a5d8af9f2547f8ebfb8",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, causing a reduction in color detail and clarity. To the back of the ego vehicle, there is a stationary white truck at coordinates (0.4979, 0.5498) and a stationary black car at (0.8615, 0.7547). In front of the ego vehicle, a moving gray SUV is located at (0.4042, 0.5444), a moving white truck at (0.6797, 0.4583), a moving black sedan at (0.3198, 0.5436), and a moving gray sedan at (0.2245, 0.5444). The environment appears urban with buildings and traffic lights visible, though details are obscured by the corruption.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537298962362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537298962354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537298962370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537298962387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537298962397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537298962378113.jpg"
    }
  },
  {
    "scene_token": "9f5f2211d6f943a89dd87bbe9703539d",
    "frame_token": "3e1d882de63d435fbc5a837182e93316",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Motion blur. C. Snow. D. Bit error",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-27-15-33-17+0800__CAM_FRONT__1538033651262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_LEFT__1538033651254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_RIGHT__1538033651270352.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-27-15-33-17+0800__CAM_BACK__1538033651287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-27-15-33-17+0800__CAM_BACK_LEFT__1538033651297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_BACK_RIGHT__1538033651277893.jpg"
    }
  },
  {
    "scene_token": "9f5f2211d6f943a89dd87bbe9703539d",
    "frame_token": "3e1d882de63d435fbc5a837182e93316",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT_RIGHT,0.0209,0.6139> under colorquant corruption? Please select the correct answer from the following options: A. Turn right. B. Going ahead. C. Turn left.",
    "answer": "B, Explanation: The object is a blue sedan car moving ahead.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-27-15-33-17+0800__CAM_FRONT__1538033651262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_LEFT__1538033651254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_RIGHT__1538033651270352.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-27-15-33-17+0800__CAM_BACK__1538033651287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-27-15-33-17+0800__CAM_BACK_LEFT__1538033651297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_BACK_RIGHT__1538033651277893.jpg"
    }
  },
  {
    "scene_token": "9f5f2211d6f943a89dd87bbe9703539d",
    "frame_token": "3e1d882de63d435fbc5a837182e93316",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a blue sedan car to the front right of the ego vehicle, a black SUV to the front right of the ego vehicle, a blue sedan to the front of the ego vehicle, a red car to the back of the ego vehicle, and a go straight sign to the back right of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_RIGHT,0.0209,0.6139>, <c2,CAM_FRONT_RIGHT,0.5938,0.6564>, <c3,CAM_FRONT,0.8542,0.6814>, <c4,CAM_BACK,0.4500,0.7592>, and <c5,CAM_BACK_RIGHT,0.6689,0.9503>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-27-15-33-17+0800__CAM_FRONT__1538033651262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_LEFT__1538033651254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_RIGHT__1538033651270352.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-27-15-33-17+0800__CAM_BACK__1538033651287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-27-15-33-17+0800__CAM_BACK_LEFT__1538033651297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_BACK_RIGHT__1538033651277893.jpg"
    }
  },
  {
    "scene_token": "9f5f2211d6f943a89dd87bbe9703539d",
    "frame_token": "3e1d882de63d435fbc5a837182e93316",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_RIGHT,0.0209,0.6139> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a blue sedan car, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-27-15-33-17+0800__CAM_FRONT__1538033651262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_LEFT__1538033651254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_RIGHT__1538033651270352.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-27-15-33-17+0800__CAM_BACK__1538033651287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-27-15-33-17+0800__CAM_BACK_LEFT__1538033651297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_BACK_RIGHT__1538033651277893.jpg"
    }
  },
  {
    "scene_token": "9f5f2211d6f943a89dd87bbe9703539d",
    "frame_token": "3e1d882de63d435fbc5a837182e93316",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT_RIGHT,0.0209,0.6139> under colorquant corruption?",
    "answer": "Sharp right turn.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-27-15-33-17+0800__CAM_FRONT__1538033651262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_LEFT__1538033651254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_RIGHT__1538033651270352.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-27-15-33-17+0800__CAM_BACK__1538033651287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-27-15-33-17+0800__CAM_BACK_LEFT__1538033651297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_BACK_RIGHT__1538033651277893.jpg"
    }
  },
  {
    "scene_token": "9f5f2211d6f943a89dd87bbe9703539d",
    "frame_token": "3e1d882de63d435fbc5a837182e93316",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Brake gently to a stop and turn right.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-27-15-33-17+0800__CAM_FRONT__1538033651262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_LEFT__1538033651254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_RIGHT__1538033651270352.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-27-15-33-17+0800__CAM_BACK__1538033651287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-27-15-33-17+0800__CAM_BACK_LEFT__1538033651297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_BACK_RIGHT__1538033651277893.jpg"
    }
  },
  {
    "scene_token": "9f5f2211d6f943a89dd87bbe9703539d",
    "frame_token": "3e1d882de63d435fbc5a837182e93316",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, which alters the color palette, making it challenging to distinguish objects. A blue sedan car is moving to the front right of the ego vehicle at coordinates <c1,CAM_FRONT_RIGHT,0.0209,0.6139>. A black SUV is also moving to the front right at <c2,CAM_FRONT_RIGHT,0.5938,0.6564>. Directly in front, a blue sedan is moving at <c3,CAM_FRONT,0.8542,0.6814>. Behind the ego vehicle, a red car is stationary at <c4,CAM_BACK,0.4500,0.7592>. A 'go straight' sign is visible to the back right at <c5,CAM_BACK_RIGHT,0.6689,0.9503>.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-27-15-33-17+0800__CAM_FRONT__1538033651262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_LEFT__1538033651254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_RIGHT__1538033651270352.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-27-15-33-17+0800__CAM_BACK__1538033651287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-27-15-33-17+0800__CAM_BACK_LEFT__1538033651297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_BACK_RIGHT__1538033651277893.jpg"
    }
  },
  {
    "scene_token": "3ace9decdd1f4ea0915b9862c95ca128",
    "frame_token": "07822f37eb644d5ba749662d707a3312",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Sensor failure. B. Color quant. C. Bit error. D. Dark",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800933362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800933354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800933370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800933387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800933397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800933377893.jpg"
    }
  },
  {
    "scene_token": "3ace9decdd1f4ea0915b9862c95ca128",
    "frame_token": "07822f37eb644d5ba749662d707a3312",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white van to the back of the ego vehicle, a white sedan car to the back of the ego vehicle, a gray SUV to the front of the ego vehicle, a gray-white business to the front left of the ego vehicle, and a right turn to the front of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.5130,0.6352>, <c2,CAM_BACK,0.8313,0.7297>, <c3,CAM_FRONT,0.6474,0.5944>, <c4,CAM_FRONT_LEFT,0.8667,0.6297>, and <c5,CAM_FRONT,0.4078,0.6176>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800933362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800933354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800933370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800933387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800933397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800933377893.jpg"
    }
  },
  {
    "scene_token": "3ace9decdd1f4ea0915b9862c95ca128",
    "frame_token": "07822f37eb644d5ba749662d707a3312",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.5130,0.6352> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "B, Explanation: The object is a white van moving ahead, and the colorquant corruption does not affect its movement status.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800933362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800933354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800933370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800933387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800933397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800933377893.jpg"
    }
  },
  {
    "scene_token": "3ace9decdd1f4ea0915b9862c95ca128",
    "frame_token": "07822f37eb644d5ba749662d707a3312",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.5130,0.6352> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a white van, not a traffic sign or road barrier, and the colorquant corruption does not change its category.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800933362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800933354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800933370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800933387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800933397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800933377893.jpg"
    }
  },
  {
    "scene_token": "3ace9decdd1f4ea0915b9862c95ca128",
    "frame_token": "07822f37eb644d5ba749662d707a3312",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK,0.5130,0.6352> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is to avoid a collision, which is high probability. The colorquant corruption does not affect this decision.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800933362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800933354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800933370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800933387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800933397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800933377893.jpg"
    }
  },
  {
    "scene_token": "3ace9decdd1f4ea0915b9862c95ca128",
    "frame_token": "07822f37eb644d5ba749662d707a3312",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.5130,0.6352> under colorquant corruption?",
    "answer": "Back up. The colorquant corruption does not change the risk of collision from backing up.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800933362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800933354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800933370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800933387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800933397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800933377893.jpg"
    }
  },
  {
    "scene_token": "3ace9decdd1f4ea0915b9862c95ca128",
    "frame_token": "07822f37eb644d5ba749662d707a3312",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is heavily affected by colorquant corruption, which alters the color palette, making it challenging to distinguish objects clearly. Despite this, key objects are identified: a white van is moving behind the ego vehicle at coordinates <c1,CAM_BACK,0.5130,0.6352>, a white sedan is also moving behind at <c2,CAM_BACK,0.8313,0.7297>, a gray SUV is ahead at <c3,CAM_FRONT,0.6474,0.5944>, and a gray-white business is to the front left at <c4,CAM_FRONT_LEFT,0.8667,0.6297>. Additionally, a right turn is indicated ahead at <c5,CAM_FRONT,0.4078,0.6176>. The altered colors make it difficult to perceive the scene accurately, but the positions and movements of vehicles remain discernible.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800933362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800933354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800933370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800933387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800933397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800933377893.jpg"
    }
  },
  {
    "scene_token": "35c3bc100e4b4e5089820986d3f50fa3",
    "frame_token": "4d2a8c8976f341d783bedb3acd1bf03c",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Snow. C. Saturate. D. H256 ABR compression",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-27-11-48-51-0400__CAM_FRONT__1535385199662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_LEFT__1535385199654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_RIGHT__1535385199670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-27-11-48-51-0400__CAM_BACK__1535385199687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-27-11-48-51-0400__CAM_BACK_LEFT__1535385199697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_BACK_RIGHT__1535385199678113.jpg"
    }
  },
  {
    "scene_token": "35c3bc100e4b4e5089820986d3f50fa3",
    "frame_token": "4d2a8c8976f341d783bedb3acd1bf03c",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c3,CAM_BACK,0.5443,0.5648> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn right. C. Turn left.",
    "answer": "A, Explanation: The object is a black sedan moving ahead, and the colorquant corruption does not affect its movement status.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-27-11-48-51-0400__CAM_FRONT__1535385199662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_LEFT__1535385199654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_RIGHT__1535385199670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-27-11-48-51-0400__CAM_BACK__1535385199687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-27-11-48-51-0400__CAM_BACK_LEFT__1535385199697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_BACK_RIGHT__1535385199678113.jpg"
    }
  },
  {
    "scene_token": "35c3bc100e4b4e5089820986d3f50fa3",
    "frame_token": "4d2a8c8976f341d783bedb3acd1bf03c",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black car to the front left of the ego vehicle, a blue truck to the back right of the ego vehicle, and a black sedan to the back of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_LEFT,0.6739,0.5936>, <c2,CAM_BACK_RIGHT,0.1880,0.4778>, and <c3,CAM_BACK,0.5443,0.5648>. The colorquant corruption does not obscure these objects.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-27-11-48-51-0400__CAM_FRONT__1535385199662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_LEFT__1535385199654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_RIGHT__1535385199670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-27-11-48-51-0400__CAM_BACK__1535385199687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-27-11-48-51-0400__CAM_BACK_LEFT__1535385199697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_BACK_RIGHT__1535385199678113.jpg"
    }
  },
  {
    "scene_token": "35c3bc100e4b4e5089820986d3f50fa3",
    "frame_token": "4d2a8c8976f341d783bedb3acd1bf03c",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant corruption? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice black car at left camera. It is stationary, so the ego vehicle should continue ahead at the same speed. Secondly, notice blue truck at right rear camera. It is stationary, so the ego vehicle should continue ahead at the same speed. Thirdly, notice black sedan at back camera. It is going ahead, so the ego vehicle should continue ahead at the same speed. The colorquant corruption does not affect the sequence of noticing these objects.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-27-11-48-51-0400__CAM_FRONT__1535385199662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_LEFT__1535385199654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_RIGHT__1535385199670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-27-11-48-51-0400__CAM_BACK__1535385199687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-27-11-48-51-0400__CAM_BACK_LEFT__1535385199697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_BACK_RIGHT__1535385199678113.jpg"
    }
  },
  {
    "scene_token": "35c3bc100e4b4e5089820986d3f50fa3",
    "frame_token": "4d2a8c8976f341d783bedb3acd1bf03c",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_LEFT,0.6739,0.5936> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a black car, not a traffic sign or road barrier, and the colorquant corruption does not change its identification.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-27-11-48-51-0400__CAM_FRONT__1535385199662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_LEFT__1535385199654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_RIGHT__1535385199670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-27-11-48-51-0400__CAM_BACK__1535385199687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-27-11-48-51-0400__CAM_BACK_LEFT__1535385199697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_BACK_RIGHT__1535385199678113.jpg"
    }
  },
  {
    "scene_token": "35c3bc100e4b4e5089820986d3f50fa3",
    "frame_token": "4d2a8c8976f341d783bedb3acd1bf03c",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT_LEFT,0.6739,0.5936> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is to maintain a safe distance, which is high. The colorquant corruption does not affect this decision.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-27-11-48-51-0400__CAM_FRONT__1535385199662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_LEFT__1535385199654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_RIGHT__1535385199670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-27-11-48-51-0400__CAM_BACK__1535385199687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-27-11-48-51-0400__CAM_BACK_LEFT__1535385199697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_BACK_RIGHT__1535385199678113.jpg"
    }
  },
  {
    "scene_token": "35c3bc100e4b4e5089820986d3f50fa3",
    "frame_token": "4d2a8c8976f341d783bedb3acd1bf03c",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, decelerate gradually without braking. The colorquant corruption does not affect these safe actions.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-27-11-48-51-0400__CAM_FRONT__1535385199662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_LEFT__1535385199654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_RIGHT__1535385199670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-27-11-48-51-0400__CAM_BACK__1535385199687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-27-11-48-51-0400__CAM_BACK_LEFT__1535385199697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_BACK_RIGHT__1535385199678113.jpg"
    }
  },
  {
    "scene_token": "35c3bc100e4b4e5089820986d3f50fa3",
    "frame_token": "4d2a8c8976f341d783bedb3acd1bf03c",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, which alters the color palette, making it more challenging to distinguish between objects based on color alone. Key objects include a stationary black car at the front left (<c1,CAM_FRONT_LEFT,0.6739,0.5936>), a stationary blue truck at the back right (<c2,CAM_BACK_RIGHT,0.1880,0.4778>), and a moving black sedan at the back (<c3,CAM_BACK,0.5443,0.5648>). Despite the color changes, the positions and statuses of these objects remain clear.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-27-11-48-51-0400__CAM_FRONT__1535385199662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_LEFT__1535385199654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_RIGHT__1535385199670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-27-11-48-51-0400__CAM_BACK__1535385199687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-27-11-48-51-0400__CAM_BACK_LEFT__1535385199697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_BACK_RIGHT__1535385199678113.jpg"
    }
  },
  {
    "scene_token": "e5514b8f435e475cac4eba74b44773b5",
    "frame_token": "35d5917af6a04eaaa6a6a56c9ef0d0d1",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Saturate. B. Color quant. C. H256 ABR compression. D. Rain",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-58-31+0800__CAM_FRONT__1542801582912468.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-58-31+0800__CAM_FRONT_LEFT__1542801582904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-58-31+0800__CAM_FRONT_RIGHT__1542801582920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-58-31+0800__CAM_BACK__1542801582937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-58-31+0800__CAM_BACK_LEFT__1542801582947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-58-31+0800__CAM_BACK_RIGHT__1542801582927893.jpg"
    }
  },
  {
    "scene_token": "e5514b8f435e475cac4eba74b44773b5",
    "frame_token": "35d5917af6a04eaaa6a6a56c9ef0d0d1",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT_RIGHT,0.1000,0.5297> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "A, Explanation: The object is a black car moving ahead, and the colorquant corruption does not affect its trajectory.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-58-31+0800__CAM_FRONT__1542801582912468.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-58-31+0800__CAM_FRONT_LEFT__1542801582904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-58-31+0800__CAM_FRONT_RIGHT__1542801582920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-58-31+0800__CAM_BACK__1542801582937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-58-31+0800__CAM_BACK_LEFT__1542801582947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-58-31+0800__CAM_BACK_RIGHT__1542801582927893.jpg"
    }
  },
  {
    "scene_token": "e5514b8f435e475cac4eba74b44773b5",
    "frame_token": "35d5917af6a04eaaa6a6a56c9ef0d0d1",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for future reasoning and driving decisions.",
    "answer": "There is a black car to the front right of the ego vehicle, a white SUV to the back of the ego vehicle, and a silver sedan to the back right of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_RIGHT,0.1000,0.5297>, <c2,CAM_BACK,0.4656,0.5797>, and <c3,CAM_BACK_RIGHT,0.7927,0.5833>. Despite the colorquant corruption, these objects remain identifiable.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-58-31+0800__CAM_FRONT__1542801582912468.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-58-31+0800__CAM_FRONT_LEFT__1542801582904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-58-31+0800__CAM_FRONT_RIGHT__1542801582920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-58-31+0800__CAM_BACK__1542801582937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-58-31+0800__CAM_BACK_LEFT__1542801582947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-58-31+0800__CAM_BACK_RIGHT__1542801582927893.jpg"
    }
  },
  {
    "scene_token": "e5514b8f435e475cac4eba74b44773b5",
    "frame_token": "35d5917af6a04eaaa6a6a56c9ef0d0d1",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_RIGHT,0.1000,0.5297> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a black car, and the colorquant corruption does not change its classification.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-58-31+0800__CAM_FRONT__1542801582912468.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-58-31+0800__CAM_FRONT_LEFT__1542801582904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-58-31+0800__CAM_FRONT_RIGHT__1542801582920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-58-31+0800__CAM_BACK__1542801582937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-58-31+0800__CAM_BACK_LEFT__1542801582947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-58-31+0800__CAM_BACK_RIGHT__1542801582927893.jpg"
    }
  },
  {
    "scene_token": "e5514b8f435e475cac4eba74b44773b5",
    "frame_token": "35d5917af6a04eaaa6a6a56c9ef0d0d1",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant corruption? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly notice that black car at right camera. The object is going ahead, so the ego vehicle should keep going ahead at the same speed. Secondly, notice that white SUV at back camera. The object is going ahead, so the ego vehicle should keep going ahead at the same speed. Thirdly, notice that silver sedan at right rear camera. The object is going ahead, so the ego vehicle should keep going ahead at the same speed. The colorquant corruption does not affect the sequence of noticing these objects.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-58-31+0800__CAM_FRONT__1542801582912468.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-58-31+0800__CAM_FRONT_LEFT__1542801582904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-58-31+0800__CAM_FRONT_RIGHT__1542801582920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-58-31+0800__CAM_BACK__1542801582937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-58-31+0800__CAM_BACK_LEFT__1542801582947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-58-31+0800__CAM_BACK_RIGHT__1542801582927893.jpg"
    }
  },
  {
    "scene_token": "e5514b8f435e475cac4eba74b44773b5",
    "frame_token": "35d5917af6a04eaaa6a6a56c9ef0d0d1",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Slightly offset to the right, slightly offset to the left, keep going at the same speed. The colorquant corruption does not alter the safety of these actions.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-58-31+0800__CAM_FRONT__1542801582912468.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-58-31+0800__CAM_FRONT_LEFT__1542801582904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-58-31+0800__CAM_FRONT_RIGHT__1542801582920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-58-31+0800__CAM_BACK__1542801582937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-58-31+0800__CAM_BACK_LEFT__1542801582947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-58-31+0800__CAM_BACK_RIGHT__1542801582927893.jpg"
    }
  },
  {
    "scene_token": "e5514b8f435e475cac4eba74b44773b5",
    "frame_token": "35d5917af6a04eaaa6a6a56c9ef0d0d1",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT_RIGHT,0.1000,0.5297> under colorquant corruption?",
    "answer": "No such action will lead to a collision. The colorquant corruption does not change the collision risk with the black car.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-58-31+0800__CAM_FRONT__1542801582912468.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-58-31+0800__CAM_FRONT_LEFT__1542801582904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-58-31+0800__CAM_FRONT_RIGHT__1542801582920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-58-31+0800__CAM_BACK__1542801582937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-58-31+0800__CAM_BACK_LEFT__1542801582947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-58-31+0800__CAM_BACK_RIGHT__1542801582927893.jpg"
    }
  },
  {
    "scene_token": "e5514b8f435e475cac4eba74b44773b5",
    "frame_token": "35d5917af6a04eaaa6a6a56c9ef0d0d1",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which alters the color representation but maintains the structure of the environment. A black car is positioned to the front right of the ego vehicle, identified at coordinates <c1,CAM_FRONT_RIGHT,0.1000,0.5297>. Behind the ego vehicle, a white SUV is moving, located at <c2,CAM_BACK,0.4656,0.5797>. To the back right, a silver sedan is present at <c3,CAM_BACK_RIGHT,0.7927,0.5833>. Despite the color distortion, the vehicles' positions and movements are discernible.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-58-31+0800__CAM_FRONT__1542801582912468.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-58-31+0800__CAM_FRONT_LEFT__1542801582904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-58-31+0800__CAM_FRONT_RIGHT__1542801582920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-58-31+0800__CAM_BACK__1542801582937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-58-31+0800__CAM_BACK_LEFT__1542801582947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-58-31+0800__CAM_BACK_RIGHT__1542801582927893.jpg"
    }
  },
  {
    "scene_token": "e323a27a0ba94ab5ab11010d778cd41f",
    "frame_token": "3c7302921b8544ef874518a07d8179df",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. H256 ABR compression. B. JPEG compression. C. Fog. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535487525662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535487525654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535487525670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535487525687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535487525697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535487525678113.jpg"
    }
  },
  {
    "scene_token": "e323a27a0ba94ab5ab11010d778cd41f",
    "frame_token": "3c7302921b8544ef874518a07d8179df",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a silver SUV to the back of the ego vehicle, a pedestrian with a backpack to the front right of the ego vehicle, and a yellow sign to the front right of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.5531,0.5917>, <c2,CAM_FRONT_RIGHT,0.4011,0.6167>, and <c3,CAM_FRONT_RIGHT,0.1047,0.4354>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535487525662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535487525654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535487525670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535487525687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535487525697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535487525678113.jpg"
    }
  },
  {
    "scene_token": "e323a27a0ba94ab5ab11010d778cd41f",
    "frame_token": "3c7302921b8544ef874518a07d8179df",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.5531,0.5917> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "A, Explanation: The object is a silver SUV moving ahead, and the colorquant corruption does not affect its status.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535487525662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535487525654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535487525670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535487525687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535487525697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535487525678113.jpg"
    }
  },
  {
    "scene_token": "e323a27a0ba94ab5ab11010d778cd41f",
    "frame_token": "3c7302921b8544ef874518a07d8179df",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant corruption? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly notice that yellow sign at right camera, the state of which is a traffic sign, so the ego vehicle should slow down and proceed. Secondly notice that pedestrian with a backpack at right camera, the state of which is going ahead, so the ego vehicle should continue going ahead at the same speed. Thirdly notice that silver SUV at back camera, the state of which is going ahead, so the ego vehicle should keep going ahead at the same speed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535487525662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535487525654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535487525670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535487525687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535487525697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535487525678113.jpg"
    }
  },
  {
    "scene_token": "e323a27a0ba94ab5ab11010d778cd41f",
    "frame_token": "3c7302921b8544ef874518a07d8179df",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.5531,0.5917> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a silver SUV, not a traffic sign or road barrier, and the colorquant corruption does not change its category.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535487525662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535487525654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535487525670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535487525687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535487525697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535487525678113.jpg"
    }
  },
  {
    "scene_token": "e323a27a0ba94ab5ab11010d778cd41f",
    "frame_token": "3c7302921b8544ef874518a07d8179df",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.5531,0.5917> under colorquant corruption?",
    "answer": "Brake suddenly.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535487525662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535487525654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535487525670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535487525687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535487525697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535487525678113.jpg"
    }
  },
  {
    "scene_token": "e323a27a0ba94ab5ab11010d778cd41f",
    "frame_token": "3c7302921b8544ef874518a07d8179df",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, decelerate gradually without braking, slightly offset to the left, or slightly offset to the right.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535487525662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535487525654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535487525670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535487525687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535487525697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535487525678113.jpg"
    }
  },
  {
    "scene_token": "e323a27a0ba94ab5ab11010d778cd41f",
    "frame_token": "3c7302921b8544ef874518a07d8179df",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which alters the color distribution, making it challenging to perceive details. The road is visible with a silver SUV moving behind the ego vehicle. A pedestrian with a backpack is moving to the front right, and a yellow traffic sign is also positioned to the front right. Despite the color distortion, these objects are identifiable by their shapes and positions: <c1,CAM_BACK,0.5531,0.5917>, <c2,CAM_FRONT_RIGHT,0.4011,0.6167>, and <c3,CAM_FRONT_RIGHT,0.1047,0.4354>.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535487525662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535487525654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535487525670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535487525687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535487525697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535487525678113.jpg"
    }
  },
  {
    "scene_token": "e323a27a0ba94ab5ab11010d778cd41f",
    "frame_token": "473366d5f83c4b439a120aa0d65f2fc8",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Fog. B. Color quant. C. Motion blur. D. Dark",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535487519112404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535487519104799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535487519120482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535487519137558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535487519147405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535487519128113.jpg"
    }
  },
  {
    "scene_token": "e323a27a0ba94ab5ab11010d778cd41f",
    "frame_token": "473366d5f83c4b439a120aa0d65f2fc8",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.5708,0.5074> under colorquant corruption? Please select the correct answer from the following options: A. Turn right. B. Turn left. C. Going ahead.",
    "answer": "A, Explanation: The object is a yellow truck moving ahead, and the corruption does not alter its trajectory.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535487519112404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535487519104799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535487519120482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535487519137558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535487519147405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535487519128113.jpg"
    }
  },
  {
    "scene_token": "e323a27a0ba94ab5ab11010d778cd41f",
    "frame_token": "473366d5f83c4b439a120aa0d65f2fc8",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a yellow truck to the front of the ego vehicle, a black sedan to the front left of the ego vehicle, a white SUV to the back of the ego vehicle, and a person wearing black clothes to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.5708,0.5074>, <c2,CAM_FRONT_LEFT,0.7208,0.7646>, <c3,CAM_BACK,0.5573,0.5620>, and <c4,CAM_FRONT,0.6969,0.5481>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535487519112404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535487519104799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535487519120482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535487519137558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535487519147405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535487519128113.jpg"
    }
  },
  {
    "scene_token": "e323a27a0ba94ab5ab11010d778cd41f",
    "frame_token": "473366d5f83c4b439a120aa0d65f2fc8",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.5708,0.5074> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a yellow truck, not a traffic sign or road barrier, and the corruption does not change its classification.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535487519112404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535487519104799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535487519120482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535487519137558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535487519147405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535487519128113.jpg"
    }
  },
  {
    "scene_token": "e323a27a0ba94ab5ab11010d778cd41f",
    "frame_token": "473366d5f83c4b439a120aa0d65f2fc8",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.5708,0.5074> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed, the reason is that the object has little reference value for the ego vehicle, with a high probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535487519112404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535487519104799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535487519120482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535487519137558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535487519147405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535487519128113.jpg"
    }
  },
  {
    "scene_token": "e323a27a0ba94ab5ab11010d778cd41f",
    "frame_token": "473366d5f83c4b439a120aa0d65f2fc8",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, decelerate gradually without braking.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535487519112404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535487519104799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535487519120482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535487519137558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535487519147405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535487519128113.jpg"
    }
  },
  {
    "scene_token": "e323a27a0ba94ab5ab11010d778cd41f",
    "frame_token": "473366d5f83c4b439a120aa0d65f2fc8",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which alters the color representation of the environment. Despite this, the road ahead is visible with a yellow truck moving in the center (coordinates: 0.5708, 0.5074). To the front left, a black sedan is also moving (coordinates: 0.7208, 0.7646). Behind the ego vehicle, a white SUV is present (coordinates: 0.5573, 0.5620). Additionally, a pedestrian wearing black clothes is moving in front of the vehicle (coordinates: 0.6969, 0.5481). The overall visibility is reduced, but key objects remain identifiable.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535487519112404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535487519104799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535487519120482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535487519137558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535487519147405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535487519128113.jpg"
    }
  },
  {
    "scene_token": "c949ec2cca7047bdb67dce64b6c3586a",
    "frame_token": "18082987b19743cd9a41d1d55097d3eb",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Fog. B. Zoom blur. C. JPEG compression. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800397912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800397904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800397920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800397937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800397947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800397927893.jpg"
    }
  },
  {
    "scene_token": "c949ec2cca7047bdb67dce64b6c3586a",
    "frame_token": "18082987b19743cd9a41d1d55097d3eb",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT_RIGHT,0.7448,0.6389> under colorquant conditions? Please select the correct answer from the following options: A. Going ahead. B. Turn right. C. Turn left.",
    "answer": "A, Explanation: The object is a blue car moving ahead, and the colorquant corruption does not change its trajectory.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800397912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800397904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800397920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800397937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800397947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800397927893.jpg"
    }
  },
  {
    "scene_token": "c949ec2cca7047bdb67dce64b6c3586a",
    "frame_token": "18082987b19743cd9a41d1d55097d3eb",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant conditions? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a blue car to the front right of the ego vehicle, a white sedan car to the front of the ego vehicle, and a white sedan to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_RIGHT,0.7448,0.6389>, <c2,CAM_FRONT,0.2516,0.6342>, and <c3,CAM_FRONT,0.4031,0.5287>. The colorquant corruption affects the visual clarity but not the presence of these objects.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800397912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800397904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800397920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800397937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800397947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800397927893.jpg"
    }
  },
  {
    "scene_token": "c949ec2cca7047bdb67dce64b6c3586a",
    "frame_token": "18082987b19743cd9a41d1d55097d3eb",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_RIGHT,0.7448,0.6389> a traffic sign or a road barrier under colorquant conditions?",
    "answer": "No, Explanation: The object is identified as a blue car, not a traffic sign or road barrier, even under colorquant conditions.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800397912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800397904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800397920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800397937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800397947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800397927893.jpg"
    }
  },
  {
    "scene_token": "c949ec2cca7047bdb67dce64b6c3586a",
    "frame_token": "18082987b19743cd9a41d1d55097d3eb",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant conditions, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, decelerate gradually without braking. The colorquant conditions require careful monitoring of vehicle positions.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800397912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800397904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800397920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800397937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800397947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800397927893.jpg"
    }
  },
  {
    "scene_token": "c949ec2cca7047bdb67dce64b6c3586a",
    "frame_token": "18082987b19743cd9a41d1d55097d3eb",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT_RIGHT,0.7448,0.6389> under colorquant conditions?",
    "answer": "No such action will lead to a collision. The colorquant conditions do not alter the relative positions of vehicles.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800397912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800397904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800397920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800397937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800397947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800397927893.jpg"
    }
  },
  {
    "scene_token": "c949ec2cca7047bdb67dce64b6c3586a",
    "frame_token": "18082987b19743cd9a41d1d55097d3eb",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant conditions. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant conditions, which reduce the clarity and color distinction of the scene. Despite this, key objects are identifiable: a blue car is moving to the front right of the ego vehicle at coordinates <c1,CAM_FRONT_RIGHT,0.7448,0.6389>, a white sedan car is directly in front at <c2,CAM_FRONT,0.2516,0.6342>, and another white sedan is slightly to the left at <c3,CAM_FRONT,0.4031,0.5287>. The road is dimly lit, and the visibility is compromised, requiring careful navigation.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800397912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800397904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800397920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800397937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800397947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800397927893.jpg"
    }
  },
  {
    "scene_token": "d58468c6097c425e89671a7b3f480acf",
    "frame_token": "72df293bddb643909f79505a90d5c14d",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. H256 ABR compression. B. Bright. C. Color quant. D. JPEG compression",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297448912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297448904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297448920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297448937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297448947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297448928113.jpg"
    }
  },
  {
    "scene_token": "d58468c6097c425e89671a7b3f480acf",
    "frame_token": "72df293bddb643909f79505a90d5c14d",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.6849,0.5324> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "A, Explanation: The object is a white truck moving ahead, and the colorquant corruption does not affect its status.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297448912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297448904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297448920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297448937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297448947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297448928113.jpg"
    }
  },
  {
    "scene_token": "d58468c6097c425e89671a7b3f480acf",
    "frame_token": "72df293bddb643909f79505a90d5c14d",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white truck to the back of the ego vehicle, a black sedan to the front right of the ego vehicle, a silver sedan to the back right of the ego vehicle, a white truck to the back of the ego vehicle, and a green light to the front of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.6849,0.5324>, <c2,CAM_FRONT_RIGHT,0.4274,0.6966>, <c3,CAM_BACK_RIGHT,0.5505,0.7083>, <c4,CAM_BACK,0.5422,0.5370>, and <c5,CAM_FRONT,0.4980,0.3700>. The colorquant corruption affects the visual clarity but not the identification of these objects.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297448912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297448904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297448920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297448937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297448947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297448928113.jpg"
    }
  },
  {
    "scene_token": "d58468c6097c425e89671a7b3f480acf",
    "frame_token": "72df293bddb643909f79505a90d5c14d",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.6849,0.5324> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a white truck, not a traffic sign or road barrier, and the colorquant corruption does not change its category.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297448912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297448904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297448920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297448937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297448947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297448928113.jpg"
    }
  },
  {
    "scene_token": "d58468c6097c425e89671a7b3f480acf",
    "frame_token": "72df293bddb643909f79505a90d5c14d",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK,0.6849,0.5324> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that the object has little reference value for the ego vehicle, with a high probability. The colorquant corruption does not affect this decision.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297448912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297448904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297448920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297448937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297448947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297448928113.jpg"
    }
  },
  {
    "scene_token": "d58468c6097c425e89671a7b3f480acf",
    "frame_token": "72df293bddb643909f79505a90d5c14d",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, slightly offset to the left. The colorquant corruption does not significantly impact the safety of this action.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297448912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297448904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297448920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297448937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297448947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297448928113.jpg"
    }
  },
  {
    "scene_token": "d58468c6097c425e89671a7b3f480acf",
    "frame_token": "72df293bddb643909f79505a90d5c14d",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is urban with tall buildings surrounding the road. Due to colorquant corruption, the colors are distorted, making it challenging to distinguish some details. Key objects include a white truck moving behind the ego vehicle at coordinates <c1,CAM_BACK,0.6849,0.5324>, a stationary black sedan to the front right at <c2,CAM_FRONT_RIGHT,0.4274,0.6966>, a stationary silver sedan to the back right at <c3,CAM_BACK_RIGHT,0.5505,0.7083>, another white truck moving behind at <c4,CAM_BACK,0.5422,0.5370>, and a green traffic light ahead at <c5,CAM_FRONT,0.4980,0.3700>. The road is wet, indicating recent rain, and the visibility is reduced due to the color distortion.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297448912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297448904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297448920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297448937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297448947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297448928113.jpg"
    }
  },
  {
    "scene_token": "fb3aaad97849430cbc32891319c9be10",
    "frame_token": "80153dcc28ab44e587126ebe6ce760bf",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Motion blur. C. Rain. D. Bit error",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708450112404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708450104799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708450120482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708450137558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708450147405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708450128113.jpg"
    }
  },
  {
    "scene_token": "fb3aaad97849430cbc32891319c9be10",
    "frame_token": "80153dcc28ab44e587126ebe6ce760bf",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under color quantization corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white commercial vehicle to the back of the ego vehicle, a black sedan to the back of the ego vehicle, a black van to the back of the ego vehicle, a white sedan to the front of the ego vehicle, and a white truck to the front of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.1329,0.6872>, <c2,CAM_BACK,0.6964,0.5953>, <c3,CAM_BACK,0.3380,0.6047>, <c4,CAM_FRONT,0.9047,0.6806>, and <c5,CAM_FRONT,0.5094,0.5130>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708450112404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708450104799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708450120482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708450137558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708450147405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708450128113.jpg"
    }
  },
  {
    "scene_token": "fb3aaad97849430cbc32891319c9be10",
    "frame_token": "80153dcc28ab44e587126ebe6ce760bf",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c5,CAM_FRONT,0.5094,0.5130> under color quantization corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "A, Explanation: The object is a white truck that is moving ahead.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708450112404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708450104799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708450120482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708450137558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708450147405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708450128113.jpg"
    }
  },
  {
    "scene_token": "fb3aaad97849430cbc32891319c9be10",
    "frame_token": "80153dcc28ab44e587126ebe6ce760bf",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.1329,0.6872> a traffic sign or a road barrier under color quantization corruption?",
    "answer": "No, Explanation: The object is a white commercial vehicle, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708450112404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708450104799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708450120482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708450137558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708450147405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708450128113.jpg"
    }
  },
  {
    "scene_token": "fb3aaad97849430cbc32891319c9be10",
    "frame_token": "80153dcc28ab44e587126ebe6ce760bf",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c4,CAM_FRONT,0.9047,0.6806> under color quantization corruption?",
    "answer": "Slight right turn.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708450112404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708450104799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708450120482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708450137558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708450147405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708450128113.jpg"
    }
  },
  {
    "scene_token": "fb3aaad97849430cbc32891319c9be10",
    "frame_token": "80153dcc28ab44e587126ebe6ce760bf",
    "question_type": "robust_qas",
    "question": "In this scenario under color quantization corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, decelerate gradually without braking, brake gently to a stop, accelerate, and go ahead.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708450112404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708450104799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708450120482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708450137558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708450147405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708450128113.jpg"
    }
  },
  {
    "scene_token": "fb3aaad97849430cbc32891319c9be10",
    "frame_token": "80153dcc28ab44e587126ebe6ce760bf",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by color quantization, which reduces the color depth and makes the environment appear with limited color shades. In the back view, there is a white commercial vehicle (center x: 0.1329, center y: 0.6872), a black sedan (center x: 0.6964, center y: 0.5953), and a black van (center x: 0.3380, center y: 0.6047). In the front view, a white sedan is stationary (center x: 0.9047, center y: 0.6806), and a white truck is moving (center x: 0.5094, center y: 0.5130). The overall visibility is reduced, making it challenging to distinguish between objects and their colors.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708450112404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708450104799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708450120482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708450137558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708450147405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708450128113.jpg"
    }
  },
  {
    "scene_token": "ccf96ecd7161425ba7c5b5dbad79b600",
    "frame_token": "44fc4e5171c54c19b1b31f6e46f65de4",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Zoom blur. B. Color quant. C. Motion blur. D. Snow",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-13-40-50-0400__CAM_FRONT__1535478834412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_LEFT__1535478834404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_RIGHT__1535478834420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-13-40-50-0400__CAM_BACK__1535478834437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-13-40-50-0400__CAM_BACK_LEFT__1535478834447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_BACK_RIGHT__1535478834428113.jpg"
    }
  },
  {
    "scene_token": "ccf96ecd7161425ba7c5b5dbad79b600",
    "frame_token": "44fc4e5171c54c19b1b31f6e46f65de4",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT_LEFT,0.1432,0.4833> under colorquant conditions? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "A, Explanation: The object is a white truck, and it is moving to the left.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-13-40-50-0400__CAM_FRONT__1535478834412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_LEFT__1535478834404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_RIGHT__1535478834420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-13-40-50-0400__CAM_BACK__1535478834437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-13-40-50-0400__CAM_BACK_LEFT__1535478834447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_BACK_RIGHT__1535478834428113.jpg"
    }
  },
  {
    "scene_token": "ccf96ecd7161425ba7c5b5dbad79b600",
    "frame_token": "44fc4e5171c54c19b1b31f6e46f65de4",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant conditions? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white truck to the front left of the ego vehicle, a black car to the front right of the ego vehicle, a black commercial vehicle to the back of the ego vehicle, and a white zebra crossing to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_LEFT,0.1432,0.4833>, <c2,CAM_FRONT_RIGHT,0.2636,0.6574>, <c3,CAM_BACK,0.9017,0.6361>, and <c4,CAM_FRONT,0.3416,0.7904>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-13-40-50-0400__CAM_FRONT__1535478834412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_LEFT__1535478834404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_RIGHT__1535478834420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-13-40-50-0400__CAM_BACK__1535478834437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-13-40-50-0400__CAM_BACK_LEFT__1535478834447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_BACK_RIGHT__1535478834428113.jpg"
    }
  },
  {
    "scene_token": "ccf96ecd7161425ba7c5b5dbad79b600",
    "frame_token": "44fc4e5171c54c19b1b31f6e46f65de4",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_LEFT,0.1432,0.4833> a traffic sign or a road barrier under colorquant conditions?",
    "answer": "No, Explanation: The object is a white truck, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-13-40-50-0400__CAM_FRONT__1535478834412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_LEFT__1535478834404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_RIGHT__1535478834420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-13-40-50-0400__CAM_BACK__1535478834437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-13-40-50-0400__CAM_BACK_LEFT__1535478834447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_BACK_RIGHT__1535478834428113.jpg"
    }
  },
  {
    "scene_token": "ccf96ecd7161425ba7c5b5dbad79b600",
    "frame_token": "44fc4e5171c54c19b1b31f6e46f65de4",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT_LEFT,0.1432,0.4833> under colorquant conditions?",
    "answer": "No such action will lead to a collision.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-13-40-50-0400__CAM_FRONT__1535478834412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_LEFT__1535478834404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_RIGHT__1535478834420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-13-40-50-0400__CAM_BACK__1535478834437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-13-40-50-0400__CAM_BACK_LEFT__1535478834447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_BACK_RIGHT__1535478834428113.jpg"
    }
  },
  {
    "scene_token": "ccf96ecd7161425ba7c5b5dbad79b600",
    "frame_token": "44fc4e5171c54c19b1b31f6e46f65de4",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT_LEFT,0.1432,0.4833> under colorquant conditions? Why take this action and what's the probability?",
    "answer": "The action is to turn left. The reason is that there is no safety issue, and the probability is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-13-40-50-0400__CAM_FRONT__1535478834412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_LEFT__1535478834404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_RIGHT__1535478834420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-13-40-50-0400__CAM_BACK__1535478834437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-13-40-50-0400__CAM_BACK_LEFT__1535478834447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_BACK_RIGHT__1535478834428113.jpg"
    }
  },
  {
    "scene_token": "ccf96ecd7161425ba7c5b5dbad79b600",
    "frame_token": "44fc4e5171c54c19b1b31f6e46f65de4",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant conditions. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by color quantization, which reduces the color detail and makes objects less distinct. To the front left of the ego vehicle, there is a white truck moving, identified at coordinates <c1,CAM_FRONT_LEFT,0.1432,0.4833>. A black car is stationary to the front right at <c2,CAM_FRONT_RIGHT,0.2636,0.6574>. Behind the ego vehicle, a black commercial vehicle is moving, located at <c3,CAM_BACK,0.9017,0.6361>. A white zebra crossing is visible in front of the ego vehicle at <c4,CAM_FRONT,0.3416,0.7904>. The overall visibility is reduced, requiring careful attention to these key objects.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-13-40-50-0400__CAM_FRONT__1535478834412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_LEFT__1535478834404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_FRONT_RIGHT__1535478834420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-13-40-50-0400__CAM_BACK__1535478834437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-13-40-50-0400__CAM_BACK_LEFT__1535478834447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-13-40-50-0400__CAM_BACK_RIGHT__1535478834428113.jpg"
    }
  },
  {
    "scene_token": "fd5a3c6d3ad44954a8045edbe9d93763",
    "frame_token": "9b8cb11e23524dcea151d5e31ceb7241",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Snow. C. JPEG compression. D. Rain",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915698412465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915698404917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915698419956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915698437570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915698447295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915698427813.jpg"
    }
  },
  {
    "scene_token": "fd5a3c6d3ad44954a8045edbe9d93763",
    "frame_token": "9b8cb11e23524dcea151d5e31ceb7241",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.7137,0.5362> under colorquant corruption? Please select the correct answer from the following options: A. Turn right. B. Turn left. C. Going ahead.",
    "answer": "B, Explanation: The object is a black car moving and turning left, which remains unchanged under colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915698412465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915698404917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915698419956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915698437570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915698447295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915698427813.jpg"
    }
  },
  {
    "scene_token": "fd5a3c6d3ad44954a8045edbe9d93763",
    "frame_token": "9b8cb11e23524dcea151d5e31ceb7241",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene considering colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black car to the back of the ego vehicle, a silver sedan to the back left of the ego vehicle, and a silver sedan to the front left of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.7137,0.5362>, <c2,CAM_BACK_LEFT,0.2646,0.6481>, and <c3,CAM_FRONT_LEFT,0.1278,0.5478>. Despite the colorquant corruption, these objects remain identifiable.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915698412465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915698404917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915698419956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915698437570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915698447295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915698427813.jpg"
    }
  },
  {
    "scene_token": "fd5a3c6d3ad44954a8045edbe9d93763",
    "frame_token": "9b8cb11e23524dcea151d5e31ceb7241",
    "question_type": "robust_qas",
    "question": "Considering colorquant corruption, what object should the ego vehicle notice first when the ego vehicle is getting to the next possible location? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice silver sedan at left camera. It is stationary, so the ego vehicle should slow down and proceed. Secondly, notice silver sedan at left rear camera. It is stationary, so the ego vehicle should continue at the same speed. Thirdly, notice black car at back camera. It is turning left, so the ego vehicle should slow down and proceed. The colorquant corruption does not alter the sequence of noticing these objects.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915698412465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915698404917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915698419956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915698437570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915698447295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915698427813.jpg"
    }
  },
  {
    "scene_token": "fd5a3c6d3ad44954a8045edbe9d93763",
    "frame_token": "9b8cb11e23524dcea151d5e31ceb7241",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.7137,0.5362> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a black car, not a traffic sign or road barrier, and this identification remains consistent under colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915698412465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915698404917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915698419956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915698437570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915698447295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915698427813.jpg"
    }
  },
  {
    "scene_token": "fd5a3c6d3ad44954a8045edbe9d93763",
    "frame_token": "9b8cb11e23524dcea151d5e31ceb7241",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.7137,0.5362> under colorquant corruption?",
    "answer": "Brake suddenly. The colorquant corruption does not change the potential collision risk associated with sudden braking.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915698412465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915698404917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915698419956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915698437570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915698447295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915698427813.jpg"
    }
  },
  {
    "scene_token": "fd5a3c6d3ad44954a8045edbe9d93763",
    "frame_token": "9b8cb11e23524dcea151d5e31ceb7241",
    "question_type": "robust_qas",
    "question": "In this scenario with colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Decelerate gradually without braking. The recommended safe actions remain the same despite the colorquant corruption.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915698412465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915698404917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915698419956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915698437570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915698447295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915698427813.jpg"
    }
  },
  {
    "scene_token": "fd5a3c6d3ad44954a8045edbe9d93763",
    "frame_token": "9b8cb11e23524dcea151d5e31ceb7241",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment appears visually altered due to colorquant corruption, affecting the color representation of objects and surroundings. Despite this, key objects remain identifiable: a black car is moving at the back of the ego vehicle (coordinates: 0.7137, 0.5362), a silver sedan is stationary at the back left (coordinates: 0.2646, 0.6481), and another silver sedan is stationary at the front left (coordinates: 0.1278, 0.5478). The road and buildings are visible but with distorted colors, making it challenging to perceive the scene accurately.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915698412465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915698404917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915698419956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915698437570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915698447295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915698427813.jpg"
    }
  },
  {
    "scene_token": "fd5a3c6d3ad44954a8045edbe9d93763",
    "frame_token": "3bd38b7c268f40629b6d4aef1a6c7b8d",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. H256 ABR compression. B. Color quant. C. Sensor failure. D. Snow",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915702362465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915702354917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915702369956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915702387570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915702397295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915702377813.jpg"
    }
  },
  {
    "scene_token": "fd5a3c6d3ad44954a8045edbe9d93763",
    "frame_token": "3bd38b7c268f40629b6d4aef1a6c7b8d",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_BACK,0.5495,0.4880> under colorquant conditions? Please select the correct answer from the following options: A. Turn left. B. Turn right. C. Going ahead.",
    "answer": "B, Explanation: The object is a black commercial vehicle and is turning right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915702362465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915702354917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915702369956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915702387570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915702397295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915702377813.jpg"
    }
  },
  {
    "scene_token": "fd5a3c6d3ad44954a8045edbe9d93763",
    "frame_token": "3bd38b7c268f40629b6d4aef1a6c7b8d",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant conditions? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white sedan car to the front of the ego vehicle, a black commercial vehicle to the back of the ego vehicle, and a black sedan to the back left of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.5437,0.5056>, <c2,CAM_BACK,0.5495,0.4880>, and <c3,CAM_BACK_LEFT,0.7208,0.6537>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915702362465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915702354917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915702369956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915702387570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915702397295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915702377813.jpg"
    }
  },
  {
    "scene_token": "fd5a3c6d3ad44954a8045edbe9d93763",
    "frame_token": "3bd38b7c268f40629b6d4aef1a6c7b8d",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.5437,0.5056> a traffic sign or a road barrier under colorquant conditions?",
    "answer": "No, Explanation: The object is a white sedan car, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915702362465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915702354917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915702369956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915702387570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915702397295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915702377813.jpg"
    }
  },
  {
    "scene_token": "fd5a3c6d3ad44954a8045edbe9d93763",
    "frame_token": "3bd38b7c268f40629b6d4aef1a6c7b8d",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant conditions? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice white sedan car at front camera. It is stationary, so the ego vehicle should continue ahead at the same speed. Secondly, notice black sedan at left rear camera. It is stationary, so the ego vehicle should continue ahead at the same speed. Thirdly, notice black commercial vehicle at back camera. It is turning right, so the ego vehicle should continue ahead at the same speed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915702362465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915702354917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915702369956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915702387570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915702397295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915702377813.jpg"
    }
  },
  {
    "scene_token": "fd5a3c6d3ad44954a8045edbe9d93763",
    "frame_token": "3bd38b7c268f40629b6d4aef1a6c7b8d",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant conditions, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, accelerate, and proceed ahead.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915702362465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915702354917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915702369956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915702387570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915702397295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915702377813.jpg"
    }
  },
  {
    "scene_token": "fd5a3c6d3ad44954a8045edbe9d93763",
    "frame_token": "3bd38b7c268f40629b6d4aef1a6c7b8d",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.5437,0.5056> under colorquant conditions? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue. The probability is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915702362465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915702354917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915702369956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915702387570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915702397295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915702377813.jpg"
    }
  },
  {
    "scene_token": "fd5a3c6d3ad44954a8045edbe9d93763",
    "frame_token": "3bd38b7c268f40629b6d4aef1a6c7b8d",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant conditions. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant conditions, which alters the color representation of the scene. In front of the ego vehicle, there is a stationary white sedan car located at coordinates <c1,CAM_FRONT,0.5437,0.5056>. Behind the ego vehicle, a black commercial vehicle is moving and turning right, positioned at <c2,CAM_BACK,0.5495,0.4880>. To the back left, there is a stationary black sedan at <c3,CAM_BACK_LEFT,0.7208,0.6537>. The overall visibility is reduced due to the color distortion, making it challenging to discern finer details.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-05-21-11-06-59-0400__CAM_FRONT__1526915702362465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_LEFT__1526915702354917.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_FRONT_RIGHT__1526915702369956.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-05-21-11-06-59-0400__CAM_BACK__1526915702387570.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-05-21-11-06-59-0400__CAM_BACK_LEFT__1526915702397295.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-05-21-11-06-59-0400__CAM_BACK_RIGHT__1526915702377813.jpg"
    }
  },
  {
    "scene_token": "97349fd50e694a5f994b0954047b96d0",
    "frame_token": "c42bcde31f894f28bdaa7994f8a03a34",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. H256 ABR compression. B. Motion blur. C. Color quant. D. Snow",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-27-11-48-51-0400__CAM_FRONT__1535385270612410.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_LEFT__1535385270604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_RIGHT__1535385270620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-27-11-48-51-0400__CAM_BACK__1535385270637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-27-11-48-51-0400__CAM_BACK_LEFT__1535385270647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_BACK_RIGHT__1535385270628113.jpg"
    }
  },
  {
    "scene_token": "97349fd50e694a5f994b0954047b96d0",
    "frame_token": "c42bcde31f894f28bdaa7994f8a03a34",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.7864,0.5759> under colorquant conditions? Please select the correct answer from the following options: A. Turn left. B. Turn right. C. Going ahead.",
    "answer": "A, Explanation: The object is a black SUV moving in the direction of turning left.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-27-11-48-51-0400__CAM_FRONT__1535385270612410.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_LEFT__1535385270604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_RIGHT__1535385270620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-27-11-48-51-0400__CAM_BACK__1535385270637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-27-11-48-51-0400__CAM_BACK_LEFT__1535385270647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_BACK_RIGHT__1535385270628113.jpg"
    }
  },
  {
    "scene_token": "97349fd50e694a5f994b0954047b96d0",
    "frame_token": "c42bcde31f894f28bdaa7994f8a03a34",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant conditions? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black SUV to the back of the ego vehicle, a black unknown to the front left of the ego vehicle, a gray SUV to the back left of the ego vehicle, and an orange roadblock to the back of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.7864,0.5759>, <c2,CAM_FRONT_LEFT,0.5500,0.5287>, <c3,CAM_BACK_LEFT,0.6630,0.7074>, and <c4,CAM_BACK,0.2224,0.7056>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-27-11-48-51-0400__CAM_FRONT__1535385270612410.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_LEFT__1535385270604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_RIGHT__1535385270620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-27-11-48-51-0400__CAM_BACK__1535385270637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-27-11-48-51-0400__CAM_BACK_LEFT__1535385270647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_BACK_RIGHT__1535385270628113.jpg"
    }
  },
  {
    "scene_token": "97349fd50e694a5f994b0954047b96d0",
    "frame_token": "c42bcde31f894f28bdaa7994f8a03a34",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.7864,0.5759> a traffic sign or a road barrier under colorquant conditions?",
    "answer": "No, Explanation: The object is a black SUV, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-27-11-48-51-0400__CAM_FRONT__1535385270612410.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_LEFT__1535385270604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_RIGHT__1535385270620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-27-11-48-51-0400__CAM_BACK__1535385270637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-27-11-48-51-0400__CAM_BACK_LEFT__1535385270647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_BACK_RIGHT__1535385270628113.jpg"
    }
  },
  {
    "scene_token": "97349fd50e694a5f994b0954047b96d0",
    "frame_token": "c42bcde31f894f28bdaa7994f8a03a34",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK,0.7864,0.5759> under colorquant conditions? Why take this action and what's the probability?",
    "answer": "The action is to turn left because there is no safety issue. The probability of this action is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-27-11-48-51-0400__CAM_FRONT__1535385270612410.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_LEFT__1535385270604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_RIGHT__1535385270620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-27-11-48-51-0400__CAM_BACK__1535385270637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-27-11-48-51-0400__CAM_BACK_LEFT__1535385270647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_BACK_RIGHT__1535385270628113.jpg"
    }
  },
  {
    "scene_token": "97349fd50e694a5f994b0954047b96d0",
    "frame_token": "c42bcde31f894f28bdaa7994f8a03a34",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.7864,0.5759> under colorquant conditions?",
    "answer": "Brake suddenly.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-27-11-48-51-0400__CAM_FRONT__1535385270612410.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_LEFT__1535385270604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_RIGHT__1535385270620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-27-11-48-51-0400__CAM_BACK__1535385270637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-27-11-48-51-0400__CAM_BACK_LEFT__1535385270647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_BACK_RIGHT__1535385270628113.jpg"
    }
  },
  {
    "scene_token": "97349fd50e694a5f994b0954047b96d0",
    "frame_token": "c42bcde31f894f28bdaa7994f8a03a34",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant conditions. Include both general description and key objects and their positions.",
    "answer": "The environment appears with reduced color details due to colorquant conditions, making it challenging to distinguish objects. Key objects include a black SUV moving behind the ego vehicle at coordinates <c1,CAM_BACK,0.7864,0.5759>, a stationary black unknown object to the front left at <c2,CAM_FRONT_LEFT,0.5500,0.5287>, a stationary gray SUV to the back left at <c3,CAM_BACK_LEFT,0.6630,0.7074>, and an orange roadblock behind the vehicle at <c4,CAM_BACK,0.2224,0.7056>. The scene is urban with buildings and construction elements visible.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-27-11-48-51-0400__CAM_FRONT__1535385270612410.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_LEFT__1535385270604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_RIGHT__1535385270620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-27-11-48-51-0400__CAM_BACK__1535385270637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-27-11-48-51-0400__CAM_BACK_LEFT__1535385270647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_BACK_RIGHT__1535385270628113.jpg"
    }
  },
  {
    "scene_token": "de943e246dad4ad686de98008a634ecf",
    "frame_token": "eea47cb542c6477a868e0de45c9b02c4",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Motion blur. C. Fog. D. H256 ABR compression",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-50-34+0800__CAM_FRONT__1531885864012464.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_LEFT__1531885864004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_RIGHT__1531885864020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-50-34+0800__CAM_BACK__1531885864037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-50-34+0800__CAM_BACK_LEFT__1531885864047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_BACK_RIGHT__1531885864027904.jpg"
    }
  },
  {
    "scene_token": "de943e246dad4ad686de98008a634ecf",
    "frame_token": "eea47cb542c6477a868e0de45c9b02c4",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.5953,0.6297> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "A, Explanation: The object is a gray sedan, and despite the colorquant corruption, it is turning left.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-50-34+0800__CAM_FRONT__1531885864012464.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_LEFT__1531885864004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_RIGHT__1531885864020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-50-34+0800__CAM_BACK__1531885864037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-50-34+0800__CAM_BACK_LEFT__1531885864047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_BACK_RIGHT__1531885864027904.jpg"
    }
  },
  {
    "scene_token": "de943e246dad4ad686de98008a634ecf",
    "frame_token": "eea47cb542c6477a868e0de45c9b02c4",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a gray sedan to the back of the ego vehicle, a person wearing a blue shirt and black pants to the back of the ego vehicle, a white coach to the front of the ego vehicle, and a white straight road sign to the front of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.5953,0.6297>, <c2,CAM_BACK,0.1943,0.5991>, <c3,CAM_FRONT,0.3120,0.5194>, and <c4,CAM_FRONT,0.5270,0.6279>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-50-34+0800__CAM_FRONT__1531885864012464.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_LEFT__1531885864004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_RIGHT__1531885864020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-50-34+0800__CAM_BACK__1531885864037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-50-34+0800__CAM_BACK_LEFT__1531885864047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_BACK_RIGHT__1531885864027904.jpg"
    }
  },
  {
    "scene_token": "de943e246dad4ad686de98008a634ecf",
    "frame_token": "eea47cb542c6477a868e0de45c9b02c4",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.5953,0.6297> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a gray sedan, not a traffic sign or road barrier, even under colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-50-34+0800__CAM_FRONT__1531885864012464.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_LEFT__1531885864004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_RIGHT__1531885864020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-50-34+0800__CAM_BACK__1531885864037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-50-34+0800__CAM_BACK_LEFT__1531885864047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_BACK_RIGHT__1531885864027904.jpg"
    }
  },
  {
    "scene_token": "de943e246dad4ad686de98008a634ecf",
    "frame_token": "eea47cb542c6477a868e0de45c9b02c4",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.5953,0.6297> under colorquant corruption?",
    "answer": "Back up.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-50-34+0800__CAM_FRONT__1531885864012464.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_LEFT__1531885864004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_RIGHT__1531885864020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-50-34+0800__CAM_BACK__1531885864037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-50-34+0800__CAM_BACK_LEFT__1531885864047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_BACK_RIGHT__1531885864027904.jpg"
    }
  },
  {
    "scene_token": "de943e246dad4ad686de98008a634ecf",
    "frame_token": "eea47cb542c6477a868e0de45c9b02c4",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, slightly offset to the left.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-50-34+0800__CAM_FRONT__1531885864012464.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_LEFT__1531885864004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_RIGHT__1531885864020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-50-34+0800__CAM_BACK__1531885864037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-50-34+0800__CAM_BACK_LEFT__1531885864047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_BACK_RIGHT__1531885864027904.jpg"
    }
  },
  {
    "scene_token": "de943e246dad4ad686de98008a634ecf",
    "frame_token": "eea47cb542c6477a868e0de45c9b02c4",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, which alters the color representation of the scene. To the back of the ego vehicle, there is a gray sedan moving, identified as <c1,CAM_BACK,0.5953,0.6297>. A pedestrian wearing a blue shirt and black pants is also moving at <c2,CAM_BACK,0.1943,0.5991>. In front of the ego vehicle, a white coach is moving, identified as <c3,CAM_FRONT,0.3120,0.5194>. Additionally, a white straight road sign is present at <c4,CAM_FRONT,0.5270,0.6279>. Despite the colorquant corruption, these objects remain identifiable and relevant for driving decisions.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-50-34+0800__CAM_FRONT__1531885864012464.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_LEFT__1531885864004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_RIGHT__1531885864020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-50-34+0800__CAM_BACK__1531885864037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-50-34+0800__CAM_BACK_LEFT__1531885864047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_BACK_RIGHT__1531885864027904.jpg"
    }
  },
  {
    "scene_token": "9047b53fd41540649dce014a128cbe1b",
    "frame_token": "3e2583bef9e849a192c3c4ea21768237",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. H256 ABR compression. C. Sensor failure. D. Bright",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-50-34+0800__CAM_FRONT__1531886254012462.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_LEFT__1531886254004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_RIGHT__1531886254020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-50-34+0800__CAM_BACK__1531886254037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-50-34+0800__CAM_BACK_LEFT__1531886254047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_BACK_RIGHT__1531886254027893.jpg"
    }
  },
  {
    "scene_token": "9047b53fd41540649dce014a128cbe1b",
    "frame_token": "3e2583bef9e849a192c3c4ea21768237",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under color quantization corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is an orange to the back of the ego vehicle, a green to the front of the ego vehicle, and a purple to the front of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.6958,0.6241>, <c2,CAM_FRONT,0.5776,0.5789>, and <c3,CAM_FRONT,0.6986,0.6102>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-50-34+0800__CAM_FRONT__1531886254012462.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_LEFT__1531886254004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_RIGHT__1531886254020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-50-34+0800__CAM_BACK__1531886254037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-50-34+0800__CAM_BACK_LEFT__1531886254047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_BACK_RIGHT__1531886254027893.jpg"
    }
  },
  {
    "scene_token": "9047b53fd41540649dce014a128cbe1b",
    "frame_token": "3e2583bef9e849a192c3c4ea21768237",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.6958,0.6241> under color quantization corruption? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "A, Explanation: The object is moving and located at the back of the ego vehicle.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-50-34+0800__CAM_FRONT__1531886254012462.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_LEFT__1531886254004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_RIGHT__1531886254020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-50-34+0800__CAM_BACK__1531886254037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-50-34+0800__CAM_BACK_LEFT__1531886254047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_BACK_RIGHT__1531886254027893.jpg"
    }
  },
  {
    "scene_token": "9047b53fd41540649dce014a128cbe1b",
    "frame_token": "3e2583bef9e849a192c3c4ea21768237",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under color quantization corruption? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "The ego vehicle should first notice purple at front camera, which is in a stationary state, so the ego vehicle should take a slight left deviation. The ego vehicle should then notice green at front camera, which is also in a stationary state, so the ego vehicle should take a slight left deviation. Finally, the ego vehicle should notice orange at back camera, which is moving forward, so the ego vehicle should continue straight at a constant speed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-50-34+0800__CAM_FRONT__1531886254012462.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_LEFT__1531886254004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_RIGHT__1531886254020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-50-34+0800__CAM_BACK__1531886254037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-50-34+0800__CAM_BACK_LEFT__1531886254047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_BACK_RIGHT__1531886254027893.jpg"
    }
  },
  {
    "scene_token": "9047b53fd41540649dce014a128cbe1b",
    "frame_token": "3e2583bef9e849a192c3c4ea21768237",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.6958,0.6241> a traffic sign or a road barrier under color quantization corruption?",
    "answer": "No, Explanation: The object is moving and does not match the characteristics of a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-50-34+0800__CAM_FRONT__1531886254012462.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_LEFT__1531886254004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_RIGHT__1531886254020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-50-34+0800__CAM_BACK__1531886254037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-50-34+0800__CAM_BACK_LEFT__1531886254047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_BACK_RIGHT__1531886254027893.jpg"
    }
  },
  {
    "scene_token": "9047b53fd41540649dce014a128cbe1b",
    "frame_token": "3e2583bef9e849a192c3c4ea21768237",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK,0.6958,0.6241> under color quantization corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that the object has little reference value for the ego vehicle, which is high probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-50-34+0800__CAM_FRONT__1531886254012462.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_LEFT__1531886254004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_RIGHT__1531886254020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-50-34+0800__CAM_BACK__1531886254037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-50-34+0800__CAM_BACK_LEFT__1531886254047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_BACK_RIGHT__1531886254027893.jpg"
    }
  },
  {
    "scene_token": "9047b53fd41540649dce014a128cbe1b",
    "frame_token": "3e2583bef9e849a192c3c4ea21768237",
    "question_type": "robust_qas",
    "question": "In this scenario under color quantization corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, slightly offset to the left, slightly offset to the right, change to the left lane, change to the right lane, turn left, or turn right.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-50-34+0800__CAM_FRONT__1531886254012462.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_LEFT__1531886254004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_RIGHT__1531886254020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-50-34+0800__CAM_BACK__1531886254037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-50-34+0800__CAM_BACK_LEFT__1531886254047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_BACK_RIGHT__1531886254027893.jpg"
    }
  },
  {
    "scene_token": "9047b53fd41540649dce014a128cbe1b",
    "frame_token": "3e2583bef9e849a192c3c4ea21768237",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by color quantization, which alters the visual clarity of the scene. To the back of the ego vehicle, there is an orange object moving, located at coordinates <c1,CAM_BACK,0.6958,0.6241>. In front of the vehicle, there are two stationary objects: a green object at <c2,CAM_FRONT,0.5776,0.5789> and a purple object at <c3,CAM_FRONT,0.6986,0.6102>. The road and surrounding vegetation appear with reduced color detail, making it challenging to distinguish finer details.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-50-34+0800__CAM_FRONT__1531886254012462.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_LEFT__1531886254004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_RIGHT__1531886254020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-50-34+0800__CAM_BACK__1531886254037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-50-34+0800__CAM_BACK_LEFT__1531886254047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_BACK_RIGHT__1531886254027893.jpg"
    }
  },
  {
    "scene_token": "7e2d9f38f8eb409ea57b3864bb4ed098",
    "frame_token": "1ccab2dc8b75455c9ceb150eaff22836",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Bright. B. Color quant. C. Saturate. D. Zoom blur",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297815362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297815354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297815370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297815387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297815397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297815378113.jpg"
    }
  },
  {
    "scene_token": "7e2d9f38f8eb409ea57b3864bb4ed098",
    "frame_token": "1ccab2dc8b75455c9ceb150eaff22836",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under color quantization corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a gray sedan to the back of the ego vehicle, a black SUV to the front of the ego vehicle, a man carrying a black backpack to the back left of the ego vehicle, a silver-gray sedan to the front of the ego vehicle, a black sedan to the front of the ego vehicle, and a red truck to the back of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.9339,0.7139>, <c2,CAM_FRONT,0.3328,0.5797>, <c3,CAM_BACK_LEFT,0.8089,0.6463>, <c4,CAM_FRONT,0.0861,0.6380>, <c5,CAM_FRONT,0.5036,0.5936>, and <c6,CAM_BACK,0.5724,0.5898>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297815362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297815354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297815370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297815387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297815397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297815378113.jpg"
    }
  },
  {
    "scene_token": "7e2d9f38f8eb409ea57b3864bb4ed098",
    "frame_token": "1ccab2dc8b75455c9ceb150eaff22836",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.9339,0.7139> under color quantization corruption? Please select the correct answer from the following options: A. Turn left. B. Turn right. C. Going ahead.",
    "answer": "A, Explanation: The object is a gray sedan moving under color quantization corruption, which may affect visual clarity.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297815362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297815354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297815370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297815387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297815397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297815378113.jpg"
    }
  },
  {
    "scene_token": "7e2d9f38f8eb409ea57b3864bb4ed098",
    "frame_token": "1ccab2dc8b75455c9ceb150eaff22836",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.9339,0.7139> a traffic sign or a road barrier under color quantization corruption?",
    "answer": "No, Explanation: The object is a gray sedan, not a traffic sign or road barrier, despite the color quantization corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297815362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297815354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297815370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297815387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297815397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297815378113.jpg"
    }
  },
  {
    "scene_token": "7e2d9f38f8eb409ea57b3864bb4ed098",
    "frame_token": "1ccab2dc8b75455c9ceb150eaff22836",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.9339,0.7139> under color quantization corruption?",
    "answer": "Back up.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297815362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297815354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297815370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297815387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297815397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297815378113.jpg"
    }
  },
  {
    "scene_token": "7e2d9f38f8eb409ea57b3864bb4ed098",
    "frame_token": "1ccab2dc8b75455c9ceb150eaff22836",
    "question_type": "robust_qas",
    "question": "In this scenario under color quantization corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, decelerate gradually without braking, and slightly offset to the left.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297815362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297815354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297815370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297815387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297815397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297815378113.jpg"
    }
  },
  {
    "scene_token": "7e2d9f38f8eb409ea57b3864bb4ed098",
    "frame_token": "1ccab2dc8b75455c9ceb150eaff22836",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is urban with tall buildings surrounding the road. The color quantization corruption affects the clarity of the scene, making it challenging to distinguish details. Key objects include a gray sedan moving behind the ego vehicle at coordinates <c1,CAM_BACK,0.9339,0.7139>, a black SUV moving in front at <c2,CAM_FRONT,0.3328,0.5797>, and a stationary silver-gray sedan at <c4,CAM_FRONT,0.0861,0.6380>. The road is wet, suggesting recent rain, and the lighting is dim, possibly due to overcast conditions.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297815362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297815354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297815370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297815387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297815397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297815378113.jpg"
    }
  },
  {
    "scene_token": "7e2d9f38f8eb409ea57b3864bb4ed098",
    "frame_token": "042f4c4b19864dfcae5a117e4c040072",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Saturate. B. JPEG compression. C. Color quant. D. Snow",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297814862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297814854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297814870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297814887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297814897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297814878113.jpg"
    }
  },
  {
    "scene_token": "7e2d9f38f8eb409ea57b3864bb4ed098",
    "frame_token": "042f4c4b19864dfcae5a117e4c040072",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.9337,0.6880> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "A, Explanation: The object is a gray sedan moving to the left.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297814862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297814854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297814870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297814887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297814897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297814878113.jpg"
    }
  },
  {
    "scene_token": "7e2d9f38f8eb409ea57b3864bb4ed098",
    "frame_token": "042f4c4b19864dfcae5a117e4c040072",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a gray sedan to the back of the ego vehicle, a black SUV to the front of the ego vehicle, a pedestrian wearing black clothes to the back left of the ego vehicle, a white SUV to the front left of the ego vehicle, a black sedan to the front of the ego vehicle, and a red truck to the back of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.9337,0.6880>, <c2,CAM_FRONT,0.2799,0.6153>, <c3,CAM_BACK_LEFT,0.7995,0.6472>, <c4,CAM_FRONT_LEFT,0.8386,0.5908>, <c5,CAM_FRONT,0.3703,0.5880>, and <c6,CAM_BACK,0.6428,0.5579>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297814862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297814854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297814870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297814887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297814897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297814878113.jpg"
    }
  },
  {
    "scene_token": "7e2d9f38f8eb409ea57b3864bb4ed098",
    "frame_token": "042f4c4b19864dfcae5a117e4c040072",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.9337,0.6880> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a gray sedan, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297814862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297814854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297814870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297814887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297814897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297814878113.jpg"
    }
  },
  {
    "scene_token": "7e2d9f38f8eb409ea57b3864bb4ed098",
    "frame_token": "042f4c4b19864dfcae5a117e4c040072",
    "question_type": "robust_qas",
    "question": "In this scenario with colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Decelerate gradually without braking and turn left.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297814862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297814854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297814870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297814887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297814897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297814878113.jpg"
    }
  },
  {
    "scene_token": "7e2d9f38f8eb409ea57b3864bb4ed098",
    "frame_token": "042f4c4b19864dfcae5a117e4c040072",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.9337,0.6880> under colorquant corruption?",
    "answer": "Back up.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297814862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297814854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297814870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297814887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297814897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297814878113.jpg"
    }
  },
  {
    "scene_token": "7e2d9f38f8eb409ea57b3864bb4ed098",
    "frame_token": "042f4c4b19864dfcae5a117e4c040072",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which alters the colors and visibility of objects. The environment includes a busy urban street with several vehicles and a pedestrian. A gray sedan is moving at the back of the ego vehicle (0.9337, 0.6880), a black SUV is moving at the front (0.2799, 0.6153), and a pedestrian wearing black clothes is at the back left (0.7995, 0.6472). Additionally, there is a stationary white SUV at the front left (0.8386, 0.5908), a stationary black sedan at the front (0.3703, 0.5880), and a moving red truck at the back (0.6428, 0.5579). The altered colors make it challenging to distinguish these objects clearly.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297814862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297814854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297814870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297814887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297814897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297814878113.jpg"
    }
  },
  {
    "scene_token": "21464a6831c1443db294d1b56a7a33a5",
    "frame_token": "aab0ef8d5aa34f5290607cca8498054c",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Sensor failure. B. Color quant. C. JPEG compression. D. Saturate",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-26-11-17-24+0800__CAM_FRONT__1537932314912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_LEFT__1537932314904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_RIGHT__1537932314920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-26-11-17-24+0800__CAM_BACK__1537932314937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-26-11-17-24+0800__CAM_BACK_LEFT__1537932314948246.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_BACK_RIGHT__1537932314927893.jpg"
    }
  },
  {
    "scene_token": "21464a6831c1443db294d1b56a7a33a5",
    "frame_token": "aab0ef8d5aa34f5290607cca8498054c",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a yellow bicycle to the back left of the ego vehicle, a gray sedan to the back of the ego vehicle, and an orange and black construction sign to the front left of the ego vehicle. The IDs of these objects are <c1,CAM_BACK_LEFT,0.3974,0.5297>, <c2,CAM_BACK,0.7536,0.5972>, and <c3,CAM_FRONT_LEFT,0.8336,0.5080>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-26-11-17-24+0800__CAM_FRONT__1537932314912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_LEFT__1537932314904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_RIGHT__1537932314920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-26-11-17-24+0800__CAM_BACK__1537932314937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-26-11-17-24+0800__CAM_BACK_LEFT__1537932314948246.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_BACK_RIGHT__1537932314927893.jpg"
    }
  },
  {
    "scene_token": "21464a6831c1443db294d1b56a7a33a5",
    "frame_token": "aab0ef8d5aa34f5290607cca8498054c",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_BACK,0.7536,0.5972> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Turn right. C. Going ahead.",
    "answer": "A, Explanation: The object is a gray sedan, and it is moving to the left.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-26-11-17-24+0800__CAM_FRONT__1537932314912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_LEFT__1537932314904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_RIGHT__1537932314920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-26-11-17-24+0800__CAM_BACK__1537932314937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-26-11-17-24+0800__CAM_BACK_LEFT__1537932314948246.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_BACK_RIGHT__1537932314927893.jpg"
    }
  },
  {
    "scene_token": "21464a6831c1443db294d1b56a7a33a5",
    "frame_token": "aab0ef8d5aa34f5290607cca8498054c",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK_LEFT,0.3974,0.5297> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a yellow bicycle, which is stationary.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-26-11-17-24+0800__CAM_FRONT__1537932314912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_LEFT__1537932314904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_RIGHT__1537932314920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-26-11-17-24+0800__CAM_BACK__1537932314937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-26-11-17-24+0800__CAM_BACK_LEFT__1537932314948246.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_BACK_RIGHT__1537932314927893.jpg"
    }
  },
  {
    "scene_token": "21464a6831c1443db294d1b56a7a33a5",
    "frame_token": "aab0ef8d5aa34f5290607cca8498054c",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant corruption? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "First, notice orange and black construction sign at left camera, which is in a state of construction ahead, so the ego vehicle should maintain speed and continue forward. Second, notice gray sedan at back camera, which is in a state of left turn, so the ego vehicle should maintain speed and continue forward. Finally, notice yellow bicycle at left rear camera, which is stationary, so the ego vehicle should maintain speed and continue forward.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-26-11-17-24+0800__CAM_FRONT__1537932314912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_LEFT__1537932314904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_RIGHT__1537932314920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-26-11-17-24+0800__CAM_BACK__1537932314937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-26-11-17-24+0800__CAM_BACK_LEFT__1537932314948246.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_BACK_RIGHT__1537932314927893.jpg"
    }
  },
  {
    "scene_token": "21464a6831c1443db294d1b56a7a33a5",
    "frame_token": "aab0ef8d5aa34f5290607cca8498054c",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, decelerate gradually without braking.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-26-11-17-24+0800__CAM_FRONT__1537932314912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_LEFT__1537932314904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_RIGHT__1537932314920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-26-11-17-24+0800__CAM_BACK__1537932314937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-26-11-17-24+0800__CAM_BACK_LEFT__1537932314948246.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_BACK_RIGHT__1537932314927893.jpg"
    }
  },
  {
    "scene_token": "21464a6831c1443db294d1b56a7a33a5",
    "frame_token": "aab0ef8d5aa34f5290607cca8498054c",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK_LEFT,0.3974,0.5297> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed, the reason being that there is no safety issue, with a high probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-26-11-17-24+0800__CAM_FRONT__1537932314912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_LEFT__1537932314904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_RIGHT__1537932314920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-26-11-17-24+0800__CAM_BACK__1537932314937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-26-11-17-24+0800__CAM_BACK_LEFT__1537932314948246.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_BACK_RIGHT__1537932314927893.jpg"
    }
  },
  {
    "scene_token": "21464a6831c1443db294d1b56a7a33a5",
    "frame_token": "aab0ef8d5aa34f5290607cca8498054c",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, causing a reduction in color detail and contrast. To the back left of the ego vehicle, there is a stationary yellow bicycle located at coordinates <c1,CAM_BACK_LEFT,0.3974,0.5297>. Directly behind the ego vehicle, a gray sedan is moving, positioned at <c2,CAM_BACK,0.7536,0.5972>. In front of the vehicle to the left, an orange and black construction sign is visible at <c3,CAM_FRONT_LEFT,0.8336,0.5080>. The road and surrounding environment appear darker and less distinct due to the corruption, making it challenging to discern finer details.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-26-11-17-24+0800__CAM_FRONT__1537932314912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_LEFT__1537932314904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_RIGHT__1537932314920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-26-11-17-24+0800__CAM_BACK__1537932314937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-26-11-17-24+0800__CAM_BACK_LEFT__1537932314948246.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_BACK_RIGHT__1537932314927893.jpg"
    }
  },
  {
    "scene_token": "3032b651c72e4b5c86d4dea1b4930689",
    "frame_token": "6e349f86e1cc4ab3a8e6dd31d24ba2ac",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Fog. C. Zoom blur. D. Motion blur",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193523762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193523754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193523770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193523787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193523797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193523777893.jpg"
    }
  },
  {
    "scene_token": "3032b651c72e4b5c86d4dea1b4930689",
    "frame_token": "6e349f86e1cc4ab3a8e6dd31d24ba2ac",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.5698,0.5019> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Turn right. C. Going ahead.",
    "answer": "A, Explanation: The object is a bus moving to the left, and the colorquant corruption does not affect its trajectory.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193523762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193523754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193523770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193523787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193523797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193523777893.jpg"
    }
  },
  {
    "scene_token": "3032b651c72e4b5c86d4dea1b4930689",
    "frame_token": "6e349f86e1cc4ab3a8e6dd31d24ba2ac",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for future reasoning and driving decisions.",
    "answer": "There is a bus to the back of the ego vehicle, a red car to the front of the ego vehicle, a white car to the back of the ego vehicle, and a white sedan to the front of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.5698,0.5019>, <c2,CAM_FRONT,0.6141,0.6314>, <c3,CAM_BACK,0.5380,0.5342>, and <c4,CAM_FRONT,0.0792,0.5722>. The colorquant corruption does not obscure these objects.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193523762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193523754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193523770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193523787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193523797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193523777893.jpg"
    }
  },
  {
    "scene_token": "3032b651c72e4b5c86d4dea1b4930689",
    "frame_token": "6e349f86e1cc4ab3a8e6dd31d24ba2ac",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.5698,0.5019> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a bus, and the colorquant corruption does not change its classification.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193523762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193523754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193523770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193523787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193523797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193523777893.jpg"
    }
  },
  {
    "scene_token": "3032b651c72e4b5c86d4dea1b4930689",
    "frame_token": "6e349f86e1cc4ab3a8e6dd31d24ba2ac",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, decelerate gradually without braking. The colorquant corruption does not affect the safety of these actions.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193523762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193523754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193523770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193523787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193523797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193523777893.jpg"
    }
  },
  {
    "scene_token": "3032b651c72e4b5c86d4dea1b4930689",
    "frame_token": "6e349f86e1cc4ab3a8e6dd31d24ba2ac",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.5698,0.5019> under colorquant corruption?",
    "answer": "No such action will lead to a collision. The colorquant corruption does not affect the relative positions or trajectories.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193523762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193523754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193523770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193523787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193523797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193523777893.jpg"
    }
  },
  {
    "scene_token": "3032b651c72e4b5c86d4dea1b4930689",
    "frame_token": "6e349f86e1cc4ab3a8e6dd31d24ba2ac",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The driving scene is affected by colorquant corruption, which reduces the color fidelity of the images. Despite this, key objects are identifiable: a bus is moving behind the ego vehicle at coordinates <c1,CAM_BACK,0.5698,0.5019>, a red car is ahead at <c2,CAM_FRONT,0.6141,0.6314>, a white car is also behind at <c3,CAM_BACK,0.5380,0.5342>, and a white sedan is in front at <c4,CAM_FRONT,0.0792,0.5722>. The road is visible, but the color distortion may affect the perception of traffic lights and signs.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193523762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193523754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193523770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193523787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193523797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193523777893.jpg"
    }
  },
  {
    "scene_token": "3032b651c72e4b5c86d4dea1b4930689",
    "frame_token": "c144652979ed4ccda866356dfff9ccfa",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Rain. B. Dark. C. Color quant. D. Zoom blur",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193528612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193528604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193528620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193528637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193528647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193528627893.jpg"
    }
  },
  {
    "scene_token": "3032b651c72e4b5c86d4dea1b4930689",
    "frame_token": "c144652979ed4ccda866356dfff9ccfa",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c3,CAM_BACK,0.4542,0.6213> under colorquant conditions? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "C, Explanation: The object is a white sedan, and it is turning right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193528612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193528604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193528620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193528637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193528647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193528627893.jpg"
    }
  },
  {
    "scene_token": "3032b651c72e4b5c86d4dea1b4930689",
    "frame_token": "c144652979ed4ccda866356dfff9ccfa",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant conditions? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black SUV to the back of the ego vehicle, a black car to the back of the ego vehicle, and a white sedan to the back of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.8938,0.5009>, <c2,CAM_BACK,0.8141,0.5667>, and <c3,CAM_BACK,0.4542,0.6213>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193528612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193528604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193528620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193528637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193528647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193528627893.jpg"
    }
  },
  {
    "scene_token": "3032b651c72e4b5c86d4dea1b4930689",
    "frame_token": "c144652979ed4ccda866356dfff9ccfa",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.8938,0.5009> a traffic sign or a road barrier under colorquant conditions?",
    "answer": "No, Explanation: The object is a black SUV, which is stationary.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193528612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193528604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193528620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193528637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193528647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193528627893.jpg"
    }
  },
  {
    "scene_token": "3032b651c72e4b5c86d4dea1b4930689",
    "frame_token": "c144652979ed4ccda866356dfff9ccfa",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant conditions? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice that white sedan at back camera. The object is turning right, so the ego vehicle should continue ahead at the same speed. Secondly, notice that black car at back camera. The object is stationary, so the ego vehicle should continue ahead at the same speed. Thirdly, notice that black SUV at back camera. The object is stationary, so the ego vehicle should continue ahead at the same speed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193528612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193528604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193528620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193528637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193528647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193528627893.jpg"
    }
  },
  {
    "scene_token": "3032b651c72e4b5c86d4dea1b4930689",
    "frame_token": "c144652979ed4ccda866356dfff9ccfa",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.8938,0.5009> under colorquant conditions?",
    "answer": "No such action will lead to a collision.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193528612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193528604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193528620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193528637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193528647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193528627893.jpg"
    }
  },
  {
    "scene_token": "3032b651c72e4b5c86d4dea1b4930689",
    "frame_token": "c144652979ed4ccda866356dfff9ccfa",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK,0.8938,0.5009> under colorquant conditions? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that the object has little reference value for the ego vehicle, and the probability is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193528612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193528604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193528620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193528637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193528647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193528627893.jpg"
    }
  },
  {
    "scene_token": "3032b651c72e4b5c86d4dea1b4930689",
    "frame_token": "c144652979ed4ccda866356dfff9ccfa",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant conditions. Include both general description and key objects and their positions.",
    "answer": "The scene is heavily affected by colorquant conditions, making it difficult to discern details. The road is visible with faint lane markings. A black SUV is stationary at the back of the ego vehicle, located at coordinates <c1,CAM_BACK,0.8938,0.5009>. A black car is also stationary at the back, positioned at <c2,CAM_BACK,0.8141,0.5667>. A white sedan is moving, turning right at the back, with coordinates <c3,CAM_BACK,0.4542,0.6213>. The overall visibility is reduced, and colors are less distinct.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193528612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193528604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193528620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193528637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193528647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193528627893.jpg"
    }
  },
  {
    "scene_token": "de7d80a1f5fb4c3e82ce8a4f213b450a",
    "frame_token": "07175443e8444b8c8c4802fd004e33c1",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Fog. B. Color quant. C. JPEG compression. D. Rain",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800855912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800855904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800855920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800855937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800855947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800855927893.jpg"
    }
  },
  {
    "scene_token": "de7d80a1f5fb4c3e82ce8a4f213b450a",
    "frame_token": "07175443e8444b8c8c4802fd004e33c1",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white small truck to the front right of the ego vehicle, a white commercial vehicle to the back of the ego vehicle, a white sedan to the front of the ego vehicle, and a black car to the back of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_RIGHT,0.2500,0.6259>, <c2,CAM_BACK,0.8832,0.6250>, <c3,CAM_FRONT,0.4500,0.5963>, and <c4,CAM_BACK,0.3880,0.5630>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800855912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800855904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800855920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800855937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800855947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800855927893.jpg"
    }
  },
  {
    "scene_token": "de7d80a1f5fb4c3e82ce8a4f213b450a",
    "frame_token": "07175443e8444b8c8c4802fd004e33c1",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_BACK,0.8832,0.6250> under colorquant corruption? Please select the correct answer from the following options: A. Turn right. B. Turn left. C. Going ahead.",
    "answer": "B, Explanation: The object is a white commercial vehicle moving to the left.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800855912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800855904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800855920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800855937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800855947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800855927893.jpg"
    }
  },
  {
    "scene_token": "de7d80a1f5fb4c3e82ce8a4f213b450a",
    "frame_token": "07175443e8444b8c8c4802fd004e33c1",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_RIGHT,0.2500,0.6259> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a white small truck, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800855912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800855904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800855920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800855937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800855947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800855927893.jpg"
    }
  },
  {
    "scene_token": "de7d80a1f5fb4c3e82ce8a4f213b450a",
    "frame_token": "07175443e8444b8c8c4802fd004e33c1",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, decelerate gradually without braking.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800855912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800855904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800855920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800855937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800855947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800855927893.jpg"
    }
  },
  {
    "scene_token": "de7d80a1f5fb4c3e82ce8a4f213b450a",
    "frame_token": "07175443e8444b8c8c4802fd004e33c1",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT_RIGHT,0.2500,0.6259> under colorquant corruption?",
    "answer": "Sharp right turn.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800855912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800855904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800855920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800855937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800855947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800855927893.jpg"
    }
  },
  {
    "scene_token": "de7d80a1f5fb4c3e82ce8a4f213b450a",
    "frame_token": "07175443e8444b8c8c4802fd004e33c1",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, making it challenging to perceive details. The environment appears dark with distorted colors. Key objects include a white small truck positioned at the front right, a white commercial vehicle moving behind, a white sedan in front, and a stationary black car behind. The distortion affects the visibility of these vehicles, but their positions are noted as <c1,CAM_FRONT_RIGHT,0.2500,0.6259>, <c2,CAM_BACK,0.8832,0.6250>, <c3,CAM_FRONT,0.4500,0.5963>, and <c4,CAM_BACK,0.3880,0.5630>.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800855912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800855904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800855920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800855937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800855947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800855927893.jpg"
    }
  },
  {
    "scene_token": "7599adab7f3944dc8ac1c88b4f3bb082",
    "frame_token": "e8cd45be3b6b46a89089065896488540",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Bit error. B. Zoom blur. C. Color quant. D. Motion blur",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708330512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708330504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708330520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708330537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708330547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708330528113.jpg"
    }
  },
  {
    "scene_token": "7599adab7f3944dc8ac1c88b4f3bb082",
    "frame_token": "e8cd45be3b6b46a89089065896488540",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c3,CAM_FRONT,0.4781,0.5722> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "A, Explanation: The object is a black sedan, and its status is moving, which remains unchanged under colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708330512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708330504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708330520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708330537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708330547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708330528113.jpg"
    }
  },
  {
    "scene_token": "7599adab7f3944dc8ac1c88b4f3bb082",
    "frame_token": "e8cd45be3b6b46a89089065896488540",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black car to the back of the ego vehicle, a white truck to the front of the ego vehicle, a black sedan to the front of the ego vehicle, a black sedan to the front of the ego vehicle, a yellow truck to the front of the ego vehicle, and a red light to the front of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.4641,0.7222>, <c2,CAM_FRONT,0.3792,0.5064>, <c3,CAM_FRONT,0.4781,0.5722>, <c4,CAM_FRONT,0.5761,0.5389>, <c5,CAM_FRONT,0.2989,0.5167>, and <c6,CAM_FRONT,0.7819,0.4186>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708330512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708330504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708330520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708330537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708330547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708330528113.jpg"
    }
  },
  {
    "scene_token": "7599adab7f3944dc8ac1c88b4f3bb082",
    "frame_token": "e8cd45be3b6b46a89089065896488540",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.4641,0.7222> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a black car, and its status is stationary, which remains unchanged under colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708330512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708330504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708330520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708330537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708330547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708330528113.jpg"
    }
  },
  {
    "scene_token": "7599adab7f3944dc8ac1c88b4f3bb082",
    "frame_token": "e8cd45be3b6b46a89089065896488540",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Brake gently to a stop, or keep going at the same speed.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708330512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708330504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708330520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708330537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708330547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708330528113.jpg"
    }
  },
  {
    "scene_token": "7599adab7f3944dc8ac1c88b4f3bb082",
    "frame_token": "e8cd45be3b6b46a89089065896488540",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK,0.4641,0.7222> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to remain stationary. The reason is to follow traffic rules, which has a high probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708330512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708330504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708330520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708330537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708330547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708330528113.jpg"
    }
  },
  {
    "scene_token": "7599adab7f3944dc8ac1c88b4f3bb082",
    "frame_token": "e8cd45be3b6b46a89089065896488540",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is heavily affected by colorquant corruption, making it difficult to distinguish fine details. The environment appears dark with high contrast, affecting visibility. Key objects include a stationary black car at the back of the ego vehicle (<c1,CAM_BACK,0.4641,0.7222>), a stationary white truck at the front (<c2,CAM_FRONT,0.3792,0.5064>), and moving black sedans at the front (<c3,CAM_FRONT,0.4781,0.5722> and <c4,CAM_FRONT,0.5761,0.5389>). A stationary yellow truck is also at the front (<c5,CAM_FRONT,0.2989,0.5167>), along with a red light (<c6,CAM_FRONT,0.7819,0.4186>).",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708330512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708330504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708330520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708330537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708330547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708330528113.jpg"
    }
  },
  {
    "scene_token": "7599adab7f3944dc8ac1c88b4f3bb082",
    "frame_token": "b005b93130294a2ca679f3270f114c17",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. JPEG compression. B. Bit error. C. Color quant. D. Dark",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708325412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708325404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708325420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708325437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708325447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708325428113.jpg"
    }
  },
  {
    "scene_token": "7599adab7f3944dc8ac1c88b4f3bb082",
    "frame_token": "b005b93130294a2ca679f3270f114c17",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene considering the colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black SUV to the back of the ego vehicle, a white SUV to the front of the ego vehicle, a white truck to the front of the ego vehicle, a black SUV to the front left of the ego vehicle, a yellow truck to the front of the ego vehicle, and a black traffic light to the front of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.4641,0.7213>, <c2,CAM_FRONT,0.4437,0.5750>, <c3,CAM_FRONT,0.5437,0.5064>, <c4,CAM_FRONT_LEFT,0.6339,0.5972>, <c5,CAM_FRONT,0.2989,0.5176>, and <c6,CAM_FRONT,0.7911,0.4348>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708325412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708325404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708325420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708325437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708325447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708325428113.jpg"
    }
  },
  {
    "scene_token": "7599adab7f3944dc8ac1c88b4f3bb082",
    "frame_token": "b005b93130294a2ca679f3270f114c17",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_FRONT,0.4437,0.5750> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn right. C. Turn left.",
    "answer": "C, Explanation: The object is a white SUV moving under colorquant conditions, which may affect visibility but not its direction.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708325412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708325404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708325420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708325437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708325447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708325428113.jpg"
    }
  },
  {
    "scene_token": "7599adab7f3944dc8ac1c88b4f3bb082",
    "frame_token": "b005b93130294a2ca679f3270f114c17",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.4641,0.7213> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a black SUV, stationary, and not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708325412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708325404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708325420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708325437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708325447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708325428113.jpg"
    }
  },
  {
    "scene_token": "7599adab7f3944dc8ac1c88b4f3bb082",
    "frame_token": "b005b93130294a2ca679f3270f114c17",
    "question_type": "robust_qas",
    "question": "In this scenario with colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, slightly offset to the right.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708325412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708325404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708325420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708325437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708325447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708325428113.jpg"
    }
  },
  {
    "scene_token": "7599adab7f3944dc8ac1c88b4f3bb082",
    "frame_token": "b005b93130294a2ca679f3270f114c17",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK,0.4641,0.7213> under colorquant conditions? Why take this action and what's the probability?",
    "answer": "The action is to keep stationary, the reason is there is no safety issue, high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708325412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708325404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708325420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708325437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708325447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708325428113.jpg"
    }
  },
  {
    "scene_token": "7599adab7f3944dc8ac1c88b4f3bb082",
    "frame_token": "b005b93130294a2ca679f3270f114c17",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment appears visually altered due to colorquant corruption, affecting the clarity of objects. A black SUV is stationary behind the ego vehicle at coordinates (0.4641, 0.7213). In front, a white SUV and a white truck are moving at coordinates (0.4437, 0.5750) and (0.5437, 0.5064) respectively. A black SUV is moving to the front left at (0.6339, 0.5972), while a yellow truck is stationary at (0.2989, 0.5176). A black traffic light is visible at (0.7911, 0.4348). The overall scene is darkened, with reduced color detail, making object recognition challenging.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708325412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708325404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708325420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708325437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708325447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708325428113.jpg"
    }
  },
  {
    "scene_token": "47cfdbcf14fe47d2a3b9e7e5b46d8a36",
    "frame_token": "911ef21347b2423da972d71284372bc3",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. JPEG compression. B. Motion blur. C. Saturate. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985211762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985211754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985211770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985211787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985211797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985211777893.jpg"
    }
  },
  {
    "scene_token": "47cfdbcf14fe47d2a3b9e7e5b46d8a36",
    "frame_token": "911ef21347b2423da972d71284372bc3",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under color quantization corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black sedan to the back of the ego vehicle, a blue pants pedestrian to the front right of the ego vehicle, a black sedan to the front right of the ego vehicle, a white shirt pedestrian to the back right of the ego vehicle, an orange car to the front of the ego vehicle, and a pedestrian wearing a black top to the back right of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.6594,0.5667>, <c2,CAM_FRONT_RIGHT,0.5739,0.6408>, <c3,CAM_FRONT_RIGHT,0.5489,0.5972>, <c4,CAM_BACK_RIGHT,0.4724,0.6259>, <c5,CAM_FRONT,0.3229,0.5082>, and <c6,CAM_BACK_RIGHT,0.8761,0.7009>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985211762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985211754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985211770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985211787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985211797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985211777893.jpg"
    }
  },
  {
    "scene_token": "47cfdbcf14fe47d2a3b9e7e5b46d8a36",
    "frame_token": "911ef21347b2423da972d71284372bc3",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.6594,0.5667> under color quantization corruption? Please select the correct answer from the following options: A. Turn left. B. Turn right. C. Going ahead.",
    "answer": "A, Explanation: The object is a black sedan, and its movement is affected by the color quantization corruption, making it appear as if it is turning left.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985211762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985211754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985211770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985211787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985211797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985211777893.jpg"
    }
  },
  {
    "scene_token": "47cfdbcf14fe47d2a3b9e7e5b46d8a36",
    "frame_token": "911ef21347b2423da972d71284372bc3",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.6594,0.5667> a traffic sign or a road barrier under color quantization corruption?",
    "answer": "No, Explanation: The object is a black sedan, not a traffic sign or road barrier, despite the visual distortion caused by color quantization.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985211762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985211754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985211770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985211787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985211797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985211777893.jpg"
    }
  },
  {
    "scene_token": "47cfdbcf14fe47d2a3b9e7e5b46d8a36",
    "frame_token": "911ef21347b2423da972d71284372bc3",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.6594,0.5667> under color quantization corruption?",
    "answer": "Back up.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985211762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985211754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985211770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985211787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985211797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985211777893.jpg"
    }
  },
  {
    "scene_token": "47cfdbcf14fe47d2a3b9e7e5b46d8a36",
    "frame_token": "911ef21347b2423da972d71284372bc3",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK,0.6594,0.5667> under color quantization corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue, and the probability is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985211762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985211754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985211770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985211787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985211797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985211777893.jpg"
    }
  },
  {
    "scene_token": "47cfdbcf14fe47d2a3b9e7e5b46d8a36",
    "frame_token": "911ef21347b2423da972d71284372bc3",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is heavily affected by color quantization, causing a loss of detail and color accuracy. To the back of the ego vehicle, there is a moving black sedan (<c1,CAM_BACK,0.6594,0.5667>). To the front right, a pedestrian in blue pants is moving (<c2,CAM_FRONT_RIGHT,0.5739,0.6408>), alongside another moving black sedan (<c3,CAM_FRONT_RIGHT,0.5489,0.5972>). A white shirt pedestrian is moving to the back right (<c4,CAM_BACK_RIGHT,0.4724,0.6259>), and an orange car is moving to the front (<c5,CAM_FRONT,0.3229,0.5082>). Additionally, a pedestrian wearing a black top is moving to the back right (<c6,CAM_BACK_RIGHT,0.8761,0.7009>). The overall visibility is compromised, making it challenging to discern finer details.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985211762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985211754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985211770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985211787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985211797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985211777893.jpg"
    }
  },
  {
    "scene_token": "3d42cd90a8184d9ebd3bb85b6416314d",
    "frame_token": "d0bb635ebb2d4c869ede64a1a7d2f448",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. JPEG compression. B. Fog. C. Color quant. D. Dark",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-06-15-06-32-0400__CAM_FRONT__1533583058262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_LEFT__1533583058254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_RIGHT__1533583058270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-06-15-06-32-0400__CAM_BACK__1533583058287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-06-15-06-32-0400__CAM_BACK_LEFT__1533583058297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_BACK_RIGHT__1533583058278113.jpg"
    }
  },
  {
    "scene_token": "3d42cd90a8184d9ebd3bb85b6416314d",
    "frame_token": "d0bb635ebb2d4c869ede64a1a7d2f448",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_FRONT,0.4114,0.6481> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "A, Explanation: The object is a red pickup truck, and despite the colorquant corruption, it is turning left.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-06-15-06-32-0400__CAM_FRONT__1533583058262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_LEFT__1533583058254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_RIGHT__1533583058270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-06-15-06-32-0400__CAM_BACK__1533583058287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-06-15-06-32-0400__CAM_BACK_LEFT__1533583058297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_BACK_RIGHT__1533583058278113.jpg"
    }
  },
  {
    "scene_token": "3d42cd90a8184d9ebd3bb85b6416314d",
    "frame_token": "d0bb635ebb2d4c869ede64a1a7d2f448",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene considering the colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white SUV to the back of the ego vehicle, a red pickup truck to the front of the ego vehicle, a gray SUV to the front right of the ego vehicle, a pedestrian riding a bicycle to the front right of the ego vehicle, a blue sedan to the back of the ego vehicle, and a red light to the front of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.1651,0.7203>, <c2,CAM_FRONT,0.4114,0.6481>, <c3,CAM_FRONT_RIGHT,0.6085,0.7009>, <c4,CAM_FRONT_RIGHT,0.2776,0.6213>, <c5,CAM_BACK,0.6229,0.7639>, and <c6,CAM_FRONT,0.5251,0.2813>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-06-15-06-32-0400__CAM_FRONT__1533583058262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_LEFT__1533583058254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_RIGHT__1533583058270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-06-15-06-32-0400__CAM_BACK__1533583058287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-06-15-06-32-0400__CAM_BACK_LEFT__1533583058297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_BACK_RIGHT__1533583058278113.jpg"
    }
  },
  {
    "scene_token": "3d42cd90a8184d9ebd3bb85b6416314d",
    "frame_token": "d0bb635ebb2d4c869ede64a1a7d2f448",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.1651,0.7203> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a white SUV, not a traffic sign or road barrier, even under colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-06-15-06-32-0400__CAM_FRONT__1533583058262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_LEFT__1533583058254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_RIGHT__1533583058270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-06-15-06-32-0400__CAM_BACK__1533583058287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-06-15-06-32-0400__CAM_BACK_LEFT__1533583058297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_BACK_RIGHT__1533583058278113.jpg"
    }
  },
  {
    "scene_token": "3d42cd90a8184d9ebd3bb85b6416314d",
    "frame_token": "d0bb635ebb2d4c869ede64a1a7d2f448",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK,0.1651,0.7203> considering colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to remain stationary. The reason for this action is to follow the traffic rules, and the probability of taking this action is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-06-15-06-32-0400__CAM_FRONT__1533583058262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_LEFT__1533583058254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_RIGHT__1533583058270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-06-15-06-32-0400__CAM_BACK__1533583058287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-06-15-06-32-0400__CAM_BACK_LEFT__1533583058297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_BACK_RIGHT__1533583058278113.jpg"
    }
  },
  {
    "scene_token": "3d42cd90a8184d9ebd3bb85b6416314d",
    "frame_token": "d0bb635ebb2d4c869ede64a1a7d2f448",
    "question_type": "robust_qas",
    "question": "In this scenario with colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Slightly offset to the left, slightly offset to the right, brake suddenly.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-06-15-06-32-0400__CAM_FRONT__1533583058262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_LEFT__1533583058254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_RIGHT__1533583058270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-06-15-06-32-0400__CAM_BACK__1533583058287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-06-15-06-32-0400__CAM_BACK_LEFT__1533583058297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_BACK_RIGHT__1533583058278113.jpg"
    }
  },
  {
    "scene_token": "3d42cd90a8184d9ebd3bb85b6416314d",
    "frame_token": "d0bb635ebb2d4c869ede64a1a7d2f448",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is an urban setting with noticeable colorquant corruption affecting the visual clarity. To the back of the ego vehicle, there is a stationary white SUV located at coordinates <c1,CAM_BACK,0.1651,0.7203>. In front, a red pickup truck is moving, positioned at <c2,CAM_FRONT,0.4114,0.6481>. To the front right, a gray SUV is stationary at <c3,CAM_FRONT_RIGHT,0.6085,0.7009>, and a pedestrian riding a bicycle is moving at <c4,CAM_FRONT_RIGHT,0.2776,0.6213>. A blue sedan is stationary at the back, located at <c5,CAM_BACK,0.6229,0.7639>. A red light is visible at the front, positioned at <c6,CAM_FRONT,0.5251,0.2813>. The colorquant corruption makes the scene appear with reduced color depth, impacting the visual perception of these objects.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-06-15-06-32-0400__CAM_FRONT__1533583058262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_LEFT__1533583058254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_RIGHT__1533583058270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-06-15-06-32-0400__CAM_BACK__1533583058287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-06-15-06-32-0400__CAM_BACK_LEFT__1533583058297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_BACK_RIGHT__1533583058278113.jpg"
    }
  },
  {
    "scene_token": "3d42cd90a8184d9ebd3bb85b6416314d",
    "frame_token": "c9f8edc0efa0409fa5e6568265fe1e24",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Saturate. B. Bright. C. Zoom blur. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-06-15-06-32-0400__CAM_FRONT__1533583056262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_LEFT__1533583056254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_RIGHT__1533583056270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-06-15-06-32-0400__CAM_BACK__1533583056287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-06-15-06-32-0400__CAM_BACK_LEFT__1533583056297938.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_BACK_RIGHT__1533583056278113.jpg"
    }
  },
  {
    "scene_token": "3d42cd90a8184d9ebd3bb85b6416314d",
    "frame_token": "c9f8edc0efa0409fa5e6568265fe1e24",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a red pickup truck to the front of the ego vehicle, a light gray SUV to the front right of the ego vehicle, a blue sedan to the back of the ego vehicle, a white pickup truck to the front of the ego vehicle, and a red light to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.8271,0.5833>, <c2,CAM_FRONT_RIGHT,0.6097,0.6898>, <c3,CAM_BACK,0.6229,0.7639>, <c4,CAM_FRONT,0.4308,0.6167>, and <c5,CAM_FRONT,0.5334,0.2813>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-06-15-06-32-0400__CAM_FRONT__1533583056262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_LEFT__1533583056254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_RIGHT__1533583056270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-06-15-06-32-0400__CAM_BACK__1533583056287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-06-15-06-32-0400__CAM_BACK_LEFT__1533583056297938.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_BACK_RIGHT__1533583056278113.jpg"
    }
  },
  {
    "scene_token": "3d42cd90a8184d9ebd3bb85b6416314d",
    "frame_token": "c9f8edc0efa0409fa5e6568265fe1e24",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.8271,0.5833> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Turn right. C. Going ahead.",
    "answer": "A, Explanation: The object is a red pickup truck moving to the left.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-06-15-06-32-0400__CAM_FRONT__1533583056262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_LEFT__1533583056254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_RIGHT__1533583056270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-06-15-06-32-0400__CAM_BACK__1533583056287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-06-15-06-32-0400__CAM_BACK_LEFT__1533583056297938.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_BACK_RIGHT__1533583056278113.jpg"
    }
  },
  {
    "scene_token": "3d42cd90a8184d9ebd3bb85b6416314d",
    "frame_token": "c9f8edc0efa0409fa5e6568265fe1e24",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.8271,0.5833> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a red pickup truck, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-06-15-06-32-0400__CAM_FRONT__1533583056262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_LEFT__1533583056254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_RIGHT__1533583056270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-06-15-06-32-0400__CAM_BACK__1533583056287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-06-15-06-32-0400__CAM_BACK_LEFT__1533583056297938.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_BACK_RIGHT__1533583056278113.jpg"
    }
  },
  {
    "scene_token": "3d42cd90a8184d9ebd3bb85b6416314d",
    "frame_token": "c9f8edc0efa0409fa5e6568265fe1e24",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.8271,0.5833> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep stationary, the reason is to follow the traffic rules, high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-06-15-06-32-0400__CAM_FRONT__1533583056262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_LEFT__1533583056254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_RIGHT__1533583056270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-06-15-06-32-0400__CAM_BACK__1533583056287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-06-15-06-32-0400__CAM_BACK_LEFT__1533583056297938.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_BACK_RIGHT__1533583056278113.jpg"
    }
  },
  {
    "scene_token": "3d42cd90a8184d9ebd3bb85b6416314d",
    "frame_token": "c9f8edc0efa0409fa5e6568265fe1e24",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.8271,0.5833> under colorquant corruption?",
    "answer": "Accelerate and go straight.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-06-15-06-32-0400__CAM_FRONT__1533583056262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_LEFT__1533583056254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_RIGHT__1533583056270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-06-15-06-32-0400__CAM_BACK__1533583056287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-06-15-06-32-0400__CAM_BACK_LEFT__1533583056297938.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_BACK_RIGHT__1533583056278113.jpg"
    }
  },
  {
    "scene_token": "3d42cd90a8184d9ebd3bb85b6416314d",
    "frame_token": "c9f8edc0efa0409fa5e6568265fe1e24",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which alters the color palette, making it challenging to distinguish objects. In front of the ego vehicle, there is a red pickup truck moving left at coordinates <c1,CAM_FRONT,0.8271,0.5833>. A stationary light gray SUV is positioned to the front right at <c2,CAM_FRONT_RIGHT,0.6097,0.6898>. Behind the ego vehicle, a blue sedan is stationary at <c3,CAM_BACK,0.6229,0.7639>. Another moving white pickup truck is in front at <c4,CAM_FRONT,0.4308,0.6167>. A red light is visible at <c5,CAM_FRONT,0.5334,0.2813>. The overall visibility is reduced due to the color distortion.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-06-15-06-32-0400__CAM_FRONT__1533583056262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_LEFT__1533583056254799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_RIGHT__1533583056270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-06-15-06-32-0400__CAM_BACK__1533583056287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-06-15-06-32-0400__CAM_BACK_LEFT__1533583056297938.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_BACK_RIGHT__1533583056278113.jpg"
    }
  },
  {
    "scene_token": "45275e709d4a4b0592d57850d8e8bd8d",
    "frame_token": "a02918af3c62447dbb9de1d0e0c56aa6",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Motion blur. B. H256 ABR compression. C. Color quant. D. Bright",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535487480162404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535487480154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535487480170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535487480187558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535487480197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535487480178113.jpg"
    }
  },
  {
    "scene_token": "45275e709d4a4b0592d57850d8e8bd8d",
    "frame_token": "a02918af3c62447dbb9de1d0e0c56aa6",
    "question_type": "robust_qas",
    "question": "Considering the colorquant corruption, what is the moving status of object <c4,CAM_BACK,0.7046,0.6666>? Please select the correct answer from the following options: A. Turn right. B. Turn left. C. Going ahead.",
    "answer": "B, Explanation: The object is a white pickup truck moving to the left.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535487480162404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535487480154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535487480170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535487480187558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535487480197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535487480178113.jpg"
    }
  },
  {
    "scene_token": "45275e709d4a4b0592d57850d8e8bd8d",
    "frame_token": "a02918af3c62447dbb9de1d0e0c56aa6",
    "question_type": "robust_qas",
    "question": "Under colorquant corruption, what are the important objects in the current scene? Those objects will be considered for future reasoning and driving decisions.",
    "answer": "There is a black car to the front right of the ego vehicle, a black SUV to the front of the ego vehicle, a person wearing a black shirt to the back of the ego vehicle, a white pickup truck to the back of the ego vehicle, and a pedestrian crossing ahead to the front right of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_RIGHT,0.2052,0.6064>, <c2,CAM_FRONT,0.4589,0.5750>, <c3,CAM_BACK,0.3719,0.6176>, <c4,CAM_BACK,0.7046,0.6666>, and <c5,CAM_FRONT_RIGHT,0.6670,0.4403>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535487480162404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535487480154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535487480170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535487480187558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535487480197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535487480178113.jpg"
    }
  },
  {
    "scene_token": "45275e709d4a4b0592d57850d8e8bd8d",
    "frame_token": "a02918af3c62447dbb9de1d0e0c56aa6",
    "question_type": "robust_qas",
    "question": "With the colorquant corruption, is <c1,CAM_FRONT_RIGHT,0.2052,0.6064> a traffic sign or a road barrier?",
    "answer": "No, Explanation: The object is a black car, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535487480162404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535487480154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535487480170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535487480187558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535487480197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535487480178113.jpg"
    }
  },
  {
    "scene_token": "45275e709d4a4b0592d57850d8e8bd8d",
    "frame_token": "a02918af3c62447dbb9de1d0e0c56aa6",
    "question_type": "robust_qas",
    "question": "Under colorquant corruption, what actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT_RIGHT,0.2052,0.6064>?",
    "answer": "Sharp right turn.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535487480162404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535487480154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535487480170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535487480187558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535487480197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535487480178113.jpg"
    }
  },
  {
    "scene_token": "45275e709d4a4b0592d57850d8e8bd8d",
    "frame_token": "a02918af3c62447dbb9de1d0e0c56aa6",
    "question_type": "robust_qas",
    "question": "Considering the colorquant corruption, what actions could the ego vehicle take based on <c1,CAM_FRONT_RIGHT,0.2052,0.6064>? Why take this action and what's the probability?",
    "answer": "The action is to turn right. The reason is that the object has little reference value for the ego vehicle, with a high probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535487480162404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535487480154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535487480170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535487480187558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535487480197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535487480178113.jpg"
    }
  },
  {
    "scene_token": "45275e709d4a4b0592d57850d8e8bd8d",
    "frame_token": "a02918af3c62447dbb9de1d0e0c56aa6",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which alters the color representation of objects. To the front right, there is a stationary black car (<c1,CAM_FRONT_RIGHT,0.2052,0.6064>). Directly in front, a black SUV is stationary (<c2,CAM_FRONT,0.4589,0.5750>). Behind the ego vehicle, a person wearing a black shirt is stationary (<c3,CAM_BACK,0.3719,0.6176>), and a white pickup truck is moving (<c4,CAM_BACK,0.7046,0.6666>). Additionally, there is a pedestrian crossing sign ahead to the front right (<c5,CAM_FRONT_RIGHT,0.6670,0.4403>). The colorquant corruption makes it challenging to distinguish these objects clearly.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535487480162404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535487480154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535487480170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535487480187558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535487480197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535487480178113.jpg"
    }
  },
  {
    "scene_token": "e5a3df5fe95149b5b974af1d14277ea7",
    "frame_token": "474e5ee23026418abff2e0d590c1da13",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Sensor failure. B. Bright. C. Color quant. D. Rain",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537298889012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537298889004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537298889020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537298889037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537298889047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537298889028113.jpg"
    }
  },
  {
    "scene_token": "e5a3df5fe95149b5b974af1d14277ea7",
    "frame_token": "474e5ee23026418abff2e0d590c1da13",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black SUV to the front of the ego vehicle, a black SUV to the back of the ego vehicle, a black sedan to the front of the ego vehicle, a black sedan to the front of the ego vehicle, a pedestrian riding a bike to the front of the ego vehicle, and a red light to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.4870,0.5314>, <c2,CAM_BACK,0.5380,0.5491>, <c3,CAM_FRONT,0.2031,0.5648>, <c4,CAM_FRONT,0.3739,0.5814>, <c5,CAM_FRONT,0.7281,0.5556>, and <c6,CAM_FRONT,0.5153,0.4084>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537298889012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537298889004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537298889020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537298889037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537298889047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537298889028113.jpg"
    }
  },
  {
    "scene_token": "e5a3df5fe95149b5b974af1d14277ea7",
    "frame_token": "474e5ee23026418abff2e0d590c1da13",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.4870,0.5314> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "A, Explanation: The object is a black SUV and is moving, but the colorquant corruption may affect the perception of its direction.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537298889012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537298889004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537298889020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537298889037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537298889047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537298889028113.jpg"
    }
  },
  {
    "scene_token": "e5a3df5fe95149b5b974af1d14277ea7",
    "frame_token": "474e5ee23026418abff2e0d590c1da13",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.4870,0.5314> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a black SUV, not a traffic sign or road barrier, despite the colorquant corruption affecting visibility.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537298889012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537298889004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537298889020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537298889037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537298889047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537298889028113.jpg"
    }
  },
  {
    "scene_token": "e5a3df5fe95149b5b974af1d14277ea7",
    "frame_token": "474e5ee23026418abff2e0d590c1da13",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, slightly offset to the left, and slightly offset to the right.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537298889012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537298889004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537298889020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537298889037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537298889047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537298889028113.jpg"
    }
  },
  {
    "scene_token": "e5a3df5fe95149b5b974af1d14277ea7",
    "frame_token": "474e5ee23026418abff2e0d590c1da13",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.4870,0.5314> under colorquant corruption?",
    "answer": "No such an action will lead to collision.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537298889012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537298889004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537298889020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537298889037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537298889047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537298889028113.jpg"
    }
  },
  {
    "scene_token": "e5a3df5fe95149b5b974af1d14277ea7",
    "frame_token": "474e5ee23026418abff2e0d590c1da13",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which alters the color and contrast of the environment. The road is wet, reflecting the surrounding buildings and vehicles. A black SUV is moving in front of the ego vehicle at coordinates <c1,CAM_FRONT,0.4870,0.5314>. Another black SUV is moving behind the ego vehicle at <c2,CAM_BACK,0.5380,0.5491>. A black sedan is stationary in front at <c4,CAM_FRONT,0.3739,0.5814>. A pedestrian riding a bike is stationary at <c5,CAM_FRONT,0.7281,0.5556>. A red light is visible at <c6,CAM_FRONT,0.5153,0.4084>, indicating the need to stop.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537298889012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537298889004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537298889020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537298889037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537298889047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537298889028113.jpg"
    }
  },
  {
    "scene_token": "13be0238abba499e95ba4e6404b22223",
    "frame_token": "97147806a12c40d8b765f9b10082af05",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Bright. B. Fog. C. H256 ABR compression. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297138862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297138854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297138870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297138887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297138897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297138878403.jpg"
    }
  },
  {
    "scene_token": "13be0238abba499e95ba4e6404b22223",
    "frame_token": "97147806a12c40d8b765f9b10082af05",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_FRONT,0.4406,0.4824> under color quantization corruption? Please select the correct answer from the following options: A. Turn right. B. Turn left. C. Going ahead.",
    "answer": "B, Explanation: The object is a white truck moving left.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297138862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297138854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297138870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297138887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297138897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297138878403.jpg"
    }
  },
  {
    "scene_token": "13be0238abba499e95ba4e6404b22223",
    "frame_token": "97147806a12c40d8b765f9b10082af05",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under color quantization corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a cone bucket to the front of the ego vehicle, a white truck to the front of the ego vehicle, a silver sedan to the front right of the ego vehicle, a black sedan car to the front of the ego vehicle, a black sedan to the back of the ego vehicle, and a red light to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.2370,0.6269>, <c2,CAM_FRONT,0.4406,0.4824>, <c3,CAM_FRONT_RIGHT,0.5514,0.7162>, <c4,CAM_FRONT,0.5813,0.5389>, <c5,CAM_BACK,0.1547,0.7491>, and <c6,CAM_FRONT,0.6838,0.3664>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297138862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297138854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297138870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297138887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297138897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297138878403.jpg"
    }
  },
  {
    "scene_token": "13be0238abba499e95ba4e6404b22223",
    "frame_token": "97147806a12c40d8b765f9b10082af05",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.2370,0.6269> a traffic sign or a road barrier under color quantization corruption?",
    "answer": "Yes, Explanation: The object is a cone bucket, which acts as a road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297138862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297138854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297138870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297138887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297138897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297138878403.jpg"
    }
  },
  {
    "scene_token": "13be0238abba499e95ba4e6404b22223",
    "frame_token": "97147806a12c40d8b765f9b10082af05",
    "question_type": "robust_qas",
    "question": "In this scenario with color quantization corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Brake gently to stop.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297138862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297138854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297138870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297138887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297138897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297138878403.jpg"
    }
  },
  {
    "scene_token": "13be0238abba499e95ba4e6404b22223",
    "frame_token": "97147806a12c40d8b765f9b10082af05",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c2,CAM_FRONT,0.4406,0.4824> under color quantization corruption?",
    "answer": "Moderate left turn.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297138862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297138854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297138870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297138887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297138897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297138878403.jpg"
    }
  },
  {
    "scene_token": "13be0238abba499e95ba4e6404b22223",
    "frame_token": "97147806a12c40d8b765f9b10082af05",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by color quantization, making it challenging to distinguish details. To the front of the ego vehicle, there is a white truck moving left at coordinates <c2,CAM_FRONT,0.4406,0.4824>. A cone bucket is positioned at <c1,CAM_FRONT,0.2370,0.6269>, acting as a road barrier. A stationary silver sedan is located to the front right at <c3,CAM_FRONT_RIGHT,0.5514,0.7162>. A black sedan car is moving ahead at <c4,CAM_FRONT,0.5813,0.5389>, and another black sedan is moving behind at <c5,CAM_BACK,0.1547,0.7491>. A red light is visible at <c6,CAM_FRONT,0.6838,0.3664>, indicating a stop signal.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297138862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297138854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297138870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297138887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297138897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297138878403.jpg"
    }
  },
  {
    "scene_token": "e083627747d8499a8c4e94c7abf941e2",
    "frame_token": "00b300aef8f0415188cc8f06f727c295",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Bit error. B. Snow. C. Color quant. D. H256 ABR compression",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297641612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297641604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297641620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297641637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297641647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297641628167.jpg"
    }
  },
  {
    "scene_token": "e083627747d8499a8c4e94c7abf941e2",
    "frame_token": "00b300aef8f0415188cc8f06f727c295",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c3,CAM_FRONT,0.4880,0.5694> under colorquant corruption? Please select the correct answer from the following options: A. Turn right. B. Turn left. C. Going ahead.",
    "answer": "B, Explanation: The object is a white SUV moving ahead, unaffected by the colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297641612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297641604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297641620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297641637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297641647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297641628167.jpg"
    }
  },
  {
    "scene_token": "e083627747d8499a8c4e94c7abf941e2",
    "frame_token": "00b300aef8f0415188cc8f06f727c295",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black SUV to the back left of the ego vehicle, a pedestrian waiting for traffic lights to the front left of the ego vehicle, a white SUV to the front of the ego vehicle, a pink and white business car to the front left of the ego vehicle, and a traffic signal to the front of the ego vehicle. The IDs of these objects are <c1,CAM_BACK_LEFT,0.2156,0.6963>, <c2,CAM_FRONT_LEFT,0.6594,0.6092>, <c3,CAM_FRONT,0.4880,0.5694>, <c4,CAM_FRONT_LEFT,0.5469,0.5602>, and <c5,CAM_FRONT,0.6235,0.4536>. Despite the colorquant corruption, these objects remain identifiable.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297641612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297641604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297641620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297641637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297641647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297641628167.jpg"
    }
  },
  {
    "scene_token": "e083627747d8499a8c4e94c7abf941e2",
    "frame_token": "00b300aef8f0415188cc8f06f727c295",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK_LEFT,0.2156,0.6963> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a black SUV, not a traffic sign or road barrier, even under colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297641612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297641604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297641620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297641637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297641647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297641628167.jpg"
    }
  },
  {
    "scene_token": "e083627747d8499a8c4e94c7abf941e2",
    "frame_token": "00b300aef8f0415188cc8f06f727c295",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK_LEFT,0.2156,0.6963> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue, and the probability of this action is high, even under colorquant corruption.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297641612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297641604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297641620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297641637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297641647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297641628167.jpg"
    }
  },
  {
    "scene_token": "e083627747d8499a8c4e94c7abf941e2",
    "frame_token": "00b300aef8f0415188cc8f06f727c295",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK_LEFT,0.2156,0.6963> under colorquant corruption?",
    "answer": "No action taken by the ego vehicle will lead to a collision with <c1,CAM_BACK_LEFT,0.2156,0.6963>, even under colorquant corruption.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297641612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297641604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297641620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297641637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297641647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297641628167.jpg"
    }
  },
  {
    "scene_token": "e083627747d8499a8c4e94c7abf941e2",
    "frame_token": "00b300aef8f0415188cc8f06f727c295",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which alters the color palette, making it challenging to distinguish between objects based on color alone. A black SUV is stationary at the back left, positioned at coordinates <c1,CAM_BACK_LEFT,0.2156,0.6963>. A pedestrian is waiting for the traffic lights at the front left, located at <c2,CAM_FRONT_LEFT,0.6594,0.6092>. A white SUV is moving ahead at the front, with coordinates <c3,CAM_FRONT,0.4880,0.5694>. Additionally, a pink and white business car is stationary at the front left, at <c4,CAM_FRONT_LEFT,0.5469,0.5602>. A traffic signal is visible at the front, positioned at <c5,CAM_FRONT,0.6235,0.4536>. Despite the colorquant corruption, these objects are identifiable by their shapes and positions.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297641612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297641604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297641620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297641637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297641647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297641628167.jpg"
    }
  },
  {
    "scene_token": "4047f251c21a475abb49518e0fa6fa9e",
    "frame_token": "d3ab0416f5ee4f4c9a4f4d73e57923f9",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Fog. B. Snow. C. Color quant. D. Dark",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-13-19+0800__CAM_FRONT__1532402142912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_LEFT__1532402142904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_RIGHT__1532402142920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-13-19+0800__CAM_BACK__1532402142937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-13-19+0800__CAM_BACK_LEFT__1532402142947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_BACK_RIGHT__1532402142927893.jpg"
    }
  },
  {
    "scene_token": "4047f251c21a475abb49518e0fa6fa9e",
    "frame_token": "d3ab0416f5ee4f4c9a4f4d73e57923f9",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK_LEFT,0.7286,0.5870> under color quantization? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "A, Explanation: The object is a pedestrian moving to the left, identified as a man in a gray shirt.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-13-19+0800__CAM_FRONT__1532402142912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_LEFT__1532402142904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_RIGHT__1532402142920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-13-19+0800__CAM_BACK__1532402142937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-13-19+0800__CAM_BACK_LEFT__1532402142947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_BACK_RIGHT__1532402142927893.jpg"
    }
  },
  {
    "scene_token": "4047f251c21a475abb49518e0fa6fa9e",
    "frame_token": "d3ab0416f5ee4f4c9a4f4d73e57923f9",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under color quantization? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a man in a gray shirt to the back left of the ego vehicle, a gray sedan to the front of the ego vehicle, and a worker with a white hat to the front right of the ego vehicle. The IDs of these objects are <c1,CAM_BACK_LEFT,0.7286,0.5870>, <c2,CAM_FRONT,0.4308,0.5842>, and <c3,CAM_FRONT_RIGHT,0.4766,0.6917>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-13-19+0800__CAM_FRONT__1532402142912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_LEFT__1532402142904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_RIGHT__1532402142920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-13-19+0800__CAM_BACK__1532402142937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-13-19+0800__CAM_BACK_LEFT__1532402142947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_BACK_RIGHT__1532402142927893.jpg"
    }
  },
  {
    "scene_token": "4047f251c21a475abb49518e0fa6fa9e",
    "frame_token": "d3ab0416f5ee4f4c9a4f4d73e57923f9",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK_LEFT,0.7286,0.5870> a traffic sign or a road barrier under color quantization?",
    "answer": "No, Explanation: The object is a pedestrian, specifically a man in a gray shirt, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-13-19+0800__CAM_FRONT__1532402142912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_LEFT__1532402142904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_RIGHT__1532402142920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-13-19+0800__CAM_BACK__1532402142937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-13-19+0800__CAM_BACK_LEFT__1532402142947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_BACK_RIGHT__1532402142927893.jpg"
    }
  },
  {
    "scene_token": "4047f251c21a475abb49518e0fa6fa9e",
    "frame_token": "d3ab0416f5ee4f4c9a4f4d73e57923f9",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under color quantization? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice that gray sedan at front camera. The object is going ahead, so the ego vehicle should slow down and continue going ahead. Secondly, notice that worker with a white hat at right camera. The object is stationary, so the ego vehicle should maintain its current speed and continue going ahead. Thirdly, notice that man in a gray shirt at left rear camera. The object is turning left, so the ego vehicle should maintain its current speed and continue going ahead.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-13-19+0800__CAM_FRONT__1532402142912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_LEFT__1532402142904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_RIGHT__1532402142920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-13-19+0800__CAM_BACK__1532402142937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-13-19+0800__CAM_BACK_LEFT__1532402142947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_BACK_RIGHT__1532402142927893.jpg"
    }
  },
  {
    "scene_token": "4047f251c21a475abb49518e0fa6fa9e",
    "frame_token": "d3ab0416f5ee4f4c9a4f4d73e57923f9",
    "question_type": "robust_qas",
    "question": "In this scenario under color quantization, what are safe actions to take for the ego vehicle?",
    "answer": "Decelerate gradually without braking, brake gently to a stop, and back up.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-13-19+0800__CAM_FRONT__1532402142912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_LEFT__1532402142904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_RIGHT__1532402142920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-13-19+0800__CAM_BACK__1532402142937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-13-19+0800__CAM_BACK_LEFT__1532402142947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_BACK_RIGHT__1532402142927893.jpg"
    }
  },
  {
    "scene_token": "4047f251c21a475abb49518e0fa6fa9e",
    "frame_token": "d3ab0416f5ee4f4c9a4f4d73e57923f9",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK_LEFT,0.7286,0.5870> under color quantization?",
    "answer": "Brake suddenly.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-13-19+0800__CAM_FRONT__1532402142912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_LEFT__1532402142904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_RIGHT__1532402142920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-13-19+0800__CAM_BACK__1532402142937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-13-19+0800__CAM_BACK_LEFT__1532402142947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_BACK_RIGHT__1532402142927893.jpg"
    }
  },
  {
    "scene_token": "4047f251c21a475abb49518e0fa6fa9e",
    "frame_token": "d3ab0416f5ee4f4c9a4f4d73e57923f9",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization. Include both general description and key objects and their positions.",
    "answer": "The environment is a city street with reduced color detail due to color quantization. To the back left, there is a pedestrian, a man in a gray shirt, moving at coordinates <c1,CAM_BACK_LEFT,0.7286,0.5870>. Ahead, a gray sedan is moving forward at coordinates <c2,CAM_FRONT,0.4308,0.5842>. To the front right, a stationary worker with a white hat is visible at coordinates <c3,CAM_FRONT_RIGHT,0.4766,0.6917>. The scene includes buildings and trees, but the color quantization makes it challenging to distinguish finer details.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-13-19+0800__CAM_FRONT__1532402142912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_LEFT__1532402142904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_RIGHT__1532402142920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-13-19+0800__CAM_BACK__1532402142937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-13-19+0800__CAM_BACK_LEFT__1532402142947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_BACK_RIGHT__1532402142927893.jpg"
    }
  },
  {
    "scene_token": "782f9486adbd4546a492e69b6697ef70",
    "frame_token": "bd188cac93f042c1b685ff497b0150f8",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Zoom blur. B. Color quant. C. H256 ABR compression. D. Snow",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297560412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297560404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297560420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297560437566.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297560447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297560428113.jpg"
    }
  },
  {
    "scene_token": "782f9486adbd4546a492e69b6697ef70",
    "frame_token": "bd188cac93f042c1b685ff497b0150f8",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene considering the colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black car to the back of the ego vehicle, a black sedan to the front of the ego vehicle, a white sedan to the front of the ego vehicle, a white SUV to the front of the ego vehicle, and a gray pickup truck to the front right of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.6958,0.5908>, <c2,CAM_FRONT,0.1422,0.6417>, <c3,CAM_FRONT,0.9781,0.6694>, <c4,CAM_FRONT,0.7864,0.6047>, and <c5,CAM_FRONT_RIGHT,0.5803,0.6689>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297560412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297560404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297560420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297560437566.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297560447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297560428113.jpg"
    }
  },
  {
    "scene_token": "782f9486adbd4546a492e69b6697ef70",
    "frame_token": "bd188cac93f042c1b685ff497b0150f8",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.6958,0.5908> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Turn right. C. Going ahead.",
    "answer": "A, Explanation: The object is a black car moving under colorquant corruption, which may affect visibility.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297560412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297560404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297560420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297560437566.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297560447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297560428113.jpg"
    }
  },
  {
    "scene_token": "782f9486adbd4546a492e69b6697ef70",
    "frame_token": "bd188cac93f042c1b685ff497b0150f8",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.6958,0.5908> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a black car, not a traffic sign or road barrier, despite the colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297560412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297560404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297560420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297560437566.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297560447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297560428113.jpg"
    }
  },
  {
    "scene_token": "782f9486adbd4546a492e69b6697ef70",
    "frame_token": "bd188cac93f042c1b685ff497b0150f8",
    "question_type": "robust_qas",
    "question": "In this scenario with colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Accelerate and go ahead, keep going at the same speed, decelerate gradually without braking.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297560412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297560404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297560420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297560437566.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297560447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297560428113.jpg"
    }
  },
  {
    "scene_token": "782f9486adbd4546a492e69b6697ef70",
    "frame_token": "bd188cac93f042c1b685ff497b0150f8",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.6958,0.5908> under colorquant corruption?",
    "answer": "No such action will lead to a collision.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297560412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297560404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297560420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297560437566.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297560447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297560428113.jpg"
    }
  },
  {
    "scene_token": "782f9486adbd4546a492e69b6697ef70",
    "frame_token": "bd188cac93f042c1b685ff497b0150f8",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is urban with tall buildings surrounding the road. Due to colorquant corruption, the scene appears with reduced color detail, making it challenging to distinguish objects. Key objects include a black car moving behind the ego vehicle at coordinates <c1,CAM_BACK,0.6958,0.5908>, a black sedan moving in front at <c2,CAM_FRONT,0.1422,0.6417>, a stationary white sedan at <c3,CAM_FRONT,0.9781,0.6694>, a stationary white SUV at <c4,CAM_FRONT,0.7864,0.6047>, and a gray pickup truck at <c5,CAM_FRONT_RIGHT,0.5803,0.6689>. The road is wet, suggesting recent rain, and the visibility is affected by the colorquant corruption.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297560412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297560404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297560420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297560437566.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297560447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297560428113.jpg"
    }
  },
  {
    "scene_token": "70368a18644046f898ab836fc8a3c03f",
    "frame_token": "825d52c255ca46fc9ae7a7fc43d44816",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Bit error. B. Snow. C. Color quant. D. JPEG compression",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-03-52+0800__CAM_FRONT__1532401620412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-03-52+0800__CAM_FRONT_LEFT__1532401620404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-03-52+0800__CAM_FRONT_RIGHT__1532401620420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-03-52+0800__CAM_BACK__1532401620437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-03-52+0800__CAM_BACK_LEFT__1532401620447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-03-52+0800__CAM_BACK_RIGHT__1532401620427893.jpg"
    }
  },
  {
    "scene_token": "70368a18644046f898ab836fc8a3c03f",
    "frame_token": "825d52c255ca46fc9ae7a7fc43d44816",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_FRONT_RIGHT,0.1432,0.6324> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Turn right. C. Going ahead.",
    "answer": "A, Explanation: The object is a black sedan, and it is turning left.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-03-52+0800__CAM_FRONT__1532401620412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-03-52+0800__CAM_FRONT_LEFT__1532401620404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-03-52+0800__CAM_FRONT_RIGHT__1532401620420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-03-52+0800__CAM_BACK__1532401620437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-03-52+0800__CAM_BACK_LEFT__1532401620447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-03-52+0800__CAM_BACK_RIGHT__1532401620427893.jpg"
    }
  },
  {
    "scene_token": "70368a18644046f898ab836fc8a3c03f",
    "frame_token": "825d52c255ca46fc9ae7a7fc43d44816",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black car to the front of the ego vehicle, a black sedan to the front right of the ego vehicle, and pedestrians on the road to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.1969,0.6908>, <c2,CAM_FRONT_RIGHT,0.1432,0.6324>, and <c3,CAM_FRONT,0.6500,0.6047>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-03-52+0800__CAM_FRONT__1532401620412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-03-52+0800__CAM_FRONT_LEFT__1532401620404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-03-52+0800__CAM_FRONT_RIGHT__1532401620420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-03-52+0800__CAM_BACK__1532401620437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-03-52+0800__CAM_BACK_LEFT__1532401620447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-03-52+0800__CAM_BACK_RIGHT__1532401620427893.jpg"
    }
  },
  {
    "scene_token": "70368a18644046f898ab836fc8a3c03f",
    "frame_token": "825d52c255ca46fc9ae7a7fc43d44816",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.1969,0.6908> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a black car, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-03-52+0800__CAM_FRONT__1532401620412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-03-52+0800__CAM_FRONT_LEFT__1532401620404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-03-52+0800__CAM_FRONT_RIGHT__1532401620420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-03-52+0800__CAM_BACK__1532401620437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-03-52+0800__CAM_BACK_LEFT__1532401620447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-03-52+0800__CAM_BACK_RIGHT__1532401620427893.jpg"
    }
  },
  {
    "scene_token": "70368a18644046f898ab836fc8a3c03f",
    "frame_token": "825d52c255ca46fc9ae7a7fc43d44816",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant corruption? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice black car at front camera. It is stationary, so the ego vehicle should remain stationary. Secondly, notice pedestrians on the road at front camera. They are moving, so the ego vehicle should remain stationary. Thirdly, notice black sedan at right camera. It is turning left, so the ego vehicle should remain stationary.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-03-52+0800__CAM_FRONT__1532401620412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-03-52+0800__CAM_FRONT_LEFT__1532401620404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-03-52+0800__CAM_FRONT_RIGHT__1532401620420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-03-52+0800__CAM_BACK__1532401620437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-03-52+0800__CAM_BACK_LEFT__1532401620447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-03-52+0800__CAM_BACK_RIGHT__1532401620427893.jpg"
    }
  },
  {
    "scene_token": "70368a18644046f898ab836fc8a3c03f",
    "frame_token": "825d52c255ca46fc9ae7a7fc43d44816",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.1969,0.6908> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to brake gently to a stop. The reason is to follow the traffic rules, with a high probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-03-52+0800__CAM_FRONT__1532401620412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-03-52+0800__CAM_FRONT_LEFT__1532401620404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-03-52+0800__CAM_FRONT_RIGHT__1532401620420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-03-52+0800__CAM_BACK__1532401620437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-03-52+0800__CAM_BACK_LEFT__1532401620447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-03-52+0800__CAM_BACK_RIGHT__1532401620427893.jpg"
    }
  },
  {
    "scene_token": "70368a18644046f898ab836fc8a3c03f",
    "frame_token": "825d52c255ca46fc9ae7a7fc43d44816",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Brake gently to a stop; brake suddenly.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-03-52+0800__CAM_FRONT__1532401620412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-03-52+0800__CAM_FRONT_LEFT__1532401620404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-03-52+0800__CAM_FRONT_RIGHT__1532401620420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-03-52+0800__CAM_BACK__1532401620437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-03-52+0800__CAM_BACK_LEFT__1532401620447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-03-52+0800__CAM_BACK_RIGHT__1532401620427893.jpg"
    }
  },
  {
    "scene_token": "70368a18644046f898ab836fc8a3c03f",
    "frame_token": "825d52c255ca46fc9ae7a7fc43d44816",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which alters the color representation, making it challenging to distinguish objects. There is a stationary black car in front of the ego vehicle at coordinates <c1,CAM_FRONT,0.1969,0.6908>. A black sedan is moving to the front right at <c2,CAM_FRONT_RIGHT,0.1432,0.6324>. Pedestrians are present on the road, moving at <c3,CAM_FRONT,0.6500,0.6047>. The environment includes tall buildings and a road with visible lane markings, though the color distortion makes them less distinct.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-03-52+0800__CAM_FRONT__1532401620412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-03-52+0800__CAM_FRONT_LEFT__1532401620404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-03-52+0800__CAM_FRONT_RIGHT__1532401620420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-03-52+0800__CAM_BACK__1532401620437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-03-52+0800__CAM_BACK_LEFT__1532401620447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-03-52+0800__CAM_BACK_RIGHT__1532401620427893.jpg"
    }
  },
  {
    "scene_token": "e0b14a8e11994763acba690bbcc3f56a",
    "frame_token": "0e364b7146c848b5a5fd73bbe05e59ed",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Fog. B. Color quant. C. H256 ABR compression. D. Snow",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-07-26-0400__CAM_FRONT__1537287304412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_LEFT__1537287304404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_RIGHT__1537287304420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-07-26-0400__CAM_BACK__1537287304437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-07-26-0400__CAM_BACK_LEFT__1537287304447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_BACK_RIGHT__1537287304428113.jpg"
    }
  },
  {
    "scene_token": "e0b14a8e11994763acba690bbcc3f56a",
    "frame_token": "0e364b7146c848b5a5fd73bbe05e59ed",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.2219,0.6509> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "A, Explanation: The object is a silver pickup truck moving ahead, and the colorquant corruption does not affect its movement direction.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-07-26-0400__CAM_FRONT__1537287304412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_LEFT__1537287304404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_RIGHT__1537287304420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-07-26-0400__CAM_BACK__1537287304437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-07-26-0400__CAM_BACK_LEFT__1537287304447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_BACK_RIGHT__1537287304428113.jpg"
    }
  },
  {
    "scene_token": "e0b14a8e11994763acba690bbcc3f56a",
    "frame_token": "0e364b7146c848b5a5fd73bbe05e59ed",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a silver pickup truck to the front of the ego vehicle, a white truck to the back of the ego vehicle, a black car to the front right of the ego vehicle, and a no entry sign to the front right of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.2219,0.6509>, <c2,CAM_BACK,0.4698,0.5442>, <c3,CAM_FRONT_RIGHT,0.5511,0.5981>, and <c4,CAM_FRONT_RIGHT,0.2190,0.5181>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-07-26-0400__CAM_FRONT__1537287304412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_LEFT__1537287304404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_RIGHT__1537287304420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-07-26-0400__CAM_BACK__1537287304437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-07-26-0400__CAM_BACK_LEFT__1537287304447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_BACK_RIGHT__1537287304428113.jpg"
    }
  },
  {
    "scene_token": "e0b14a8e11994763acba690bbcc3f56a",
    "frame_token": "0e364b7146c848b5a5fd73bbe05e59ed",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.2219,0.6509> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a silver pickup truck, not a traffic sign or road barrier, and the colorquant corruption does not change its category.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-07-26-0400__CAM_FRONT__1537287304412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_LEFT__1537287304404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_RIGHT__1537287304420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-07-26-0400__CAM_BACK__1537287304437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-07-26-0400__CAM_BACK_LEFT__1537287304447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_BACK_RIGHT__1537287304428113.jpg"
    }
  },
  {
    "scene_token": "e0b14a8e11994763acba690bbcc3f56a",
    "frame_token": "0e364b7146c848b5a5fd73bbe05e59ed",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.2219,0.6509> under colorquant corruption?",
    "answer": "Slight left turn.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-07-26-0400__CAM_FRONT__1537287304412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_LEFT__1537287304404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_RIGHT__1537287304420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-07-26-0400__CAM_BACK__1537287304437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-07-26-0400__CAM_BACK_LEFT__1537287304447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_BACK_RIGHT__1537287304428113.jpg"
    }
  },
  {
    "scene_token": "e0b14a8e11994763acba690bbcc3f56a",
    "frame_token": "0e364b7146c848b5a5fd73bbe05e59ed",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.2219,0.6509> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is to avoid a collision, with a high probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-07-26-0400__CAM_FRONT__1537287304412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_LEFT__1537287304404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_RIGHT__1537287304420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-07-26-0400__CAM_BACK__1537287304437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-07-26-0400__CAM_BACK_LEFT__1537287304447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_BACK_RIGHT__1537287304428113.jpg"
    }
  },
  {
    "scene_token": "e0b14a8e11994763acba690bbcc3f56a",
    "frame_token": "0e364b7146c848b5a5fd73bbe05e59ed",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, resulting in reduced color fidelity and contrast. A silver pickup truck is moving ahead in front of the ego vehicle, positioned at coordinates <c1,CAM_FRONT,0.2219,0.6509>. Behind the ego vehicle, a stationary white truck is located at <c2,CAM_BACK,0.4698,0.5442>. To the front right, a black car is stationary at <c3,CAM_FRONT_RIGHT,0.5511,0.5981>, and a no entry sign is visible at <c4,CAM_FRONT_RIGHT,0.2190,0.5181>. The overall visibility is compromised, but key objects remain identifiable.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-07-26-0400__CAM_FRONT__1537287304412404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_LEFT__1537287304404799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_FRONT_RIGHT__1537287304420482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-07-26-0400__CAM_BACK__1537287304437558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-07-26-0400__CAM_BACK_LEFT__1537287304447405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-07-26-0400__CAM_BACK_RIGHT__1537287304428113.jpg"
    }
  },
  {
    "scene_token": "38b3010304734913bb148d17ebbc352b",
    "frame_token": "e52eaf1605f04429a14478cf69129bd2",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Sensor failure. B. Color quant. C. Zoom blur. D. JPEG compression",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-43-59-0400__CAM_FRONT__1537296462662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_LEFT__1537296462654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_RIGHT__1537296462670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-43-59-0400__CAM_BACK__1537296462687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-43-59-0400__CAM_BACK_LEFT__1537296462697469.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_BACK_RIGHT__1537296462678113.jpg"
    }
  },
  {
    "scene_token": "38b3010304734913bb148d17ebbc352b",
    "frame_token": "e52eaf1605f04429a14478cf69129bd2",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK_LEFT,0.8442,0.6028> under colorquant corruption? Please select the correct answer from the following options: A. Turn right. B. Turn left. C. Going ahead.",
    "answer": "B, Explanation: The object is a white business vehicle moving to the left, unaffected by the colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-43-59-0400__CAM_FRONT__1537296462662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_LEFT__1537296462654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_RIGHT__1537296462670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-43-59-0400__CAM_BACK__1537296462687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-43-59-0400__CAM_BACK_LEFT__1537296462697469.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_BACK_RIGHT__1537296462678113.jpg"
    }
  },
  {
    "scene_token": "38b3010304734913bb148d17ebbc352b",
    "frame_token": "e52eaf1605f04429a14478cf69129bd2",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for future reasoning and driving decisions.",
    "answer": "There is a white business to the back left of the ego vehicle, a blue pants pedestrian to the back right of the ego vehicle, a black pickup truck to the front of the ego vehicle, and a white truck to the front of the ego vehicle. The IDs of these objects are <c1,CAM_BACK_LEFT,0.8442,0.6028>, <c2,CAM_BACK_RIGHT,0.2745,0.6889>, <c3,CAM_FRONT,0.2739,0.5537>, and <c4,CAM_FRONT,0.8313,0.4250>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-43-59-0400__CAM_FRONT__1537296462662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_LEFT__1537296462654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_RIGHT__1537296462670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-43-59-0400__CAM_BACK__1537296462687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-43-59-0400__CAM_BACK_LEFT__1537296462697469.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_BACK_RIGHT__1537296462678113.jpg"
    }
  },
  {
    "scene_token": "38b3010304734913bb148d17ebbc352b",
    "frame_token": "e52eaf1605f04429a14478cf69129bd2",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK_LEFT,0.8442,0.6028> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a white business vehicle, not a traffic sign or road barrier, and this remains clear despite the colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-43-59-0400__CAM_FRONT__1537296462662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_LEFT__1537296462654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_RIGHT__1537296462670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-43-59-0400__CAM_BACK__1537296462687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-43-59-0400__CAM_BACK_LEFT__1537296462697469.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_BACK_RIGHT__1537296462678113.jpg"
    }
  },
  {
    "scene_token": "38b3010304734913bb148d17ebbc352b",
    "frame_token": "e52eaf1605f04429a14478cf69129bd2",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK_LEFT,0.8442,0.6028> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to turn right. The reason is that there is no safety issue, which is high in probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-43-59-0400__CAM_FRONT__1537296462662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_LEFT__1537296462654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_RIGHT__1537296462670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-43-59-0400__CAM_BACK__1537296462687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-43-59-0400__CAM_BACK_LEFT__1537296462697469.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_BACK_RIGHT__1537296462678113.jpg"
    }
  },
  {
    "scene_token": "38b3010304734913bb148d17ebbc352b",
    "frame_token": "e52eaf1605f04429a14478cf69129bd2",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Turn right, decelerate gradually without braking.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-43-59-0400__CAM_FRONT__1537296462662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_LEFT__1537296462654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_RIGHT__1537296462670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-43-59-0400__CAM_BACK__1537296462687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-43-59-0400__CAM_BACK_LEFT__1537296462697469.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_BACK_RIGHT__1537296462678113.jpg"
    }
  },
  {
    "scene_token": "38b3010304734913bb148d17ebbc352b",
    "frame_token": "e52eaf1605f04429a14478cf69129bd2",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, causing a reduction in color detail and contrast. Despite this, key objects are identifiable: a white business vehicle is moving to the back left (coordinates: 0.8442, 0.6028), a pedestrian in blue pants is moving to the back right (coordinates: 0.2745, 0.6889), a stationary black pickup truck is in front (coordinates: 0.2739, 0.5537), and a stationary white truck is also in front (coordinates: 0.8313, 0.4250). The scene includes urban elements like buildings and traffic lights, with reduced visibility due to the colorquant effect.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-43-59-0400__CAM_FRONT__1537296462662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_LEFT__1537296462654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_RIGHT__1537296462670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-43-59-0400__CAM_BACK__1537296462687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-43-59-0400__CAM_BACK_LEFT__1537296462697469.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_BACK_RIGHT__1537296462678113.jpg"
    }
  },
  {
    "scene_token": "ea4c42715ae24b0b952c57a9af1e7731",
    "frame_token": "c542c9df7bab4a1fb5b23a856a143d9e",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Zoom blur. B. Color quant. C. Rain. D. Snow",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-16-55-0400__CAM_FRONT__1535657179662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-16-55-0400__CAM_FRONT_LEFT__1535657179654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-16-55-0400__CAM_FRONT_RIGHT__1535657179670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-16-55-0400__CAM_BACK__1535657179687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-16-55-0400__CAM_BACK_LEFT__1535657179697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-16-55-0400__CAM_BACK_RIGHT__1535657179678113.jpg"
    }
  },
  {
    "scene_token": "ea4c42715ae24b0b952c57a9af1e7731",
    "frame_token": "c542c9df7bab4a1fb5b23a856a143d9e",
    "question_type": "robust_qas",
    "question": "Considering the colorquant corruption, what are the important objects in the current scene? Those objects will be considered for future reasoning and driving decisions.",
    "answer": "There is a black motorhome to the front left of the ego vehicle, a black SUV to the front of the ego vehicle, a black sedan to the back of the ego vehicle, a gray sedan to the front left of the ego vehicle, and a black pants pedestrian to the front right of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_LEFT,0.7794,0.5197>, <c2,CAM_FRONT,0.2345,0.5451>, <c3,CAM_BACK,0.4109,0.6981>, <c4,CAM_FRONT_LEFT,0.5062,0.5722>, and <c5,CAM_FRONT_RIGHT,0.4542,0.5870>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-16-55-0400__CAM_FRONT__1535657179662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-16-55-0400__CAM_FRONT_LEFT__1535657179654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-16-55-0400__CAM_FRONT_RIGHT__1535657179670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-16-55-0400__CAM_BACK__1535657179687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-16-55-0400__CAM_BACK_LEFT__1535657179697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-16-55-0400__CAM_BACK_RIGHT__1535657179678113.jpg"
    }
  },
  {
    "scene_token": "ea4c42715ae24b0b952c57a9af1e7731",
    "frame_token": "c542c9df7bab4a1fb5b23a856a143d9e",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT_LEFT,0.7794,0.5197> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Turn right. C. Going ahead.",
    "answer": "A, Explanation: The object is a black motorhome, and despite the colorquant corruption, it is turning left.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-16-55-0400__CAM_FRONT__1535657179662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-16-55-0400__CAM_FRONT_LEFT__1535657179654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-16-55-0400__CAM_FRONT_RIGHT__1535657179670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-16-55-0400__CAM_BACK__1535657179687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-16-55-0400__CAM_BACK_LEFT__1535657179697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-16-55-0400__CAM_BACK_RIGHT__1535657179678113.jpg"
    }
  },
  {
    "scene_token": "ea4c42715ae24b0b952c57a9af1e7731",
    "frame_token": "c542c9df7bab4a1fb5b23a856a143d9e",
    "question_type": "robust_qas",
    "question": "Under colorquant corruption, is <c1,CAM_FRONT_LEFT,0.7794,0.5197> a traffic sign or a road barrier?",
    "answer": "No, Explanation: The object is a black motorhome, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-16-55-0400__CAM_FRONT__1535657179662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-16-55-0400__CAM_FRONT_LEFT__1535657179654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-16-55-0400__CAM_FRONT_RIGHT__1535657179670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-16-55-0400__CAM_BACK__1535657179687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-16-55-0400__CAM_BACK_LEFT__1535657179697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-16-55-0400__CAM_BACK_RIGHT__1535657179678113.jpg"
    }
  },
  {
    "scene_token": "ea4c42715ae24b0b952c57a9af1e7731",
    "frame_token": "c542c9df7bab4a1fb5b23a856a143d9e",
    "question_type": "robust_qas",
    "question": "Considering the colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, slightly offset to the right.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-16-55-0400__CAM_FRONT__1535657179662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-16-55-0400__CAM_FRONT_LEFT__1535657179654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-16-55-0400__CAM_FRONT_RIGHT__1535657179670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-16-55-0400__CAM_BACK__1535657179687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-16-55-0400__CAM_BACK_LEFT__1535657179697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-16-55-0400__CAM_BACK_RIGHT__1535657179678113.jpg"
    }
  },
  {
    "scene_token": "ea4c42715ae24b0b952c57a9af1e7731",
    "frame_token": "c542c9df7bab4a1fb5b23a856a143d9e",
    "question_type": "robust_qas",
    "question": "Under colorquant corruption, what actions could the ego vehicle take based on <c1,CAM_FRONT_LEFT,0.7794,0.5197>? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue, and the probability is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-16-55-0400__CAM_FRONT__1535657179662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-16-55-0400__CAM_FRONT_LEFT__1535657179654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-16-55-0400__CAM_FRONT_RIGHT__1535657179670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-16-55-0400__CAM_BACK__1535657179687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-16-55-0400__CAM_BACK_LEFT__1535657179697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-16-55-0400__CAM_BACK_RIGHT__1535657179678113.jpg"
    }
  },
  {
    "scene_token": "ea4c42715ae24b0b952c57a9af1e7731",
    "frame_token": "c542c9df7bab4a1fb5b23a856a143d9e",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, causing a reduction in color detail and contrast. To the front left, there is a black motorhome moving, identified at coordinates <c1,CAM_FRONT_LEFT,0.7794,0.5197>. Directly in front, a black SUV is moving at <c2,CAM_FRONT,0.2345,0.5451>. Behind, a black sedan is also moving, located at <c3,CAM_BACK,0.4109,0.6981>. A stationary gray sedan is positioned to the front left at <c4,CAM_FRONT_LEFT,0.5062,0.5722>. Additionally, a pedestrian wearing black pants is moving to the front right, identified at <c5,CAM_FRONT_RIGHT,0.4542,0.5870>. The overall scene is dim and lacks vibrant colors, making object recognition challenging.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-16-55-0400__CAM_FRONT__1535657179662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-16-55-0400__CAM_FRONT_LEFT__1535657179654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-16-55-0400__CAM_FRONT_RIGHT__1535657179670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-16-55-0400__CAM_BACK__1535657179687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-16-55-0400__CAM_BACK_LEFT__1535657179697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-16-55-0400__CAM_BACK_RIGHT__1535657179678113.jpg"
    }
  },
  {
    "scene_token": "599c50b42e294116bd702c9e5cc830a3",
    "frame_token": "1f0482a12d6e4df3b93636c0fcb23831",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Motion blur. C. Dark. D. Fog",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193257362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193257354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193257370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193257387545.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193257397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193257377893.jpg"
    }
  },
  {
    "scene_token": "599c50b42e294116bd702c9e5cc830a3",
    "frame_token": "1f0482a12d6e4df3b93636c0fcb23831",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black car to the front right of the ego vehicle, a black SUV to the front left of the ego vehicle, a person riding a motorcycle to the front of the ego vehicle, and a white zebra crossing to the back of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_RIGHT,0.1594,0.5722>, <c2,CAM_FRONT_LEFT,0.9000,0.6481>, <c3,CAM_FRONT,0.2859,0.5917>, and <c4,CAM_BACK,0.3664,0.8046>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193257362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193257354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193257370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193257387545.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193257397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193257377893.jpg"
    }
  },
  {
    "scene_token": "599c50b42e294116bd702c9e5cc830a3",
    "frame_token": "1f0482a12d6e4df3b93636c0fcb23831",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT_RIGHT,0.1594,0.5722> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "C, Explanation: The object is a black car moving to the right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193257362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193257354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193257370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193257387545.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193257397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193257377893.jpg"
    }
  },
  {
    "scene_token": "599c50b42e294116bd702c9e5cc830a3",
    "frame_token": "1f0482a12d6e4df3b93636c0fcb23831",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_RIGHT,0.1594,0.5722> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a black car, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193257362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193257354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193257370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193257387545.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193257397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193257377893.jpg"
    }
  },
  {
    "scene_token": "599c50b42e294116bd702c9e5cc830a3",
    "frame_token": "1f0482a12d6e4df3b93636c0fcb23831",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT_RIGHT,0.1594,0.5722> under colorquant corruption?",
    "answer": "Sharp right turn.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193257362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193257354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193257370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193257387545.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193257397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193257377893.jpg"
    }
  },
  {
    "scene_token": "599c50b42e294116bd702c9e5cc830a3",
    "frame_token": "1f0482a12d6e4df3b93636c0fcb23831",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, slightly offset to the left.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193257362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193257354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193257370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193257387545.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193257397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193257377893.jpg"
    }
  },
  {
    "scene_token": "599c50b42e294116bd702c9e5cc830a3",
    "frame_token": "1f0482a12d6e4df3b93636c0fcb23831",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, making the scene appear darker and less detailed. To the front right, there is a black car moving, identified as <c1,CAM_FRONT_RIGHT,0.1594,0.5722>. To the front left, a black SUV is also moving, identified as <c2,CAM_FRONT_LEFT,0.9000,0.6481>. Directly in front, a person is riding a motorcycle, identified as <c3,CAM_FRONT,0.2859,0.5917>. Behind the ego vehicle, there is a white zebra crossing, identified as <c4,CAM_BACK,0.3664,0.8046>. The corruption affects the visibility of these objects, but their positions remain crucial for navigation.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193257362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193257354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193257370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193257387545.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193257397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193257377893.jpg"
    }
  },
  {
    "scene_token": "1d4db80d13f342aba4881b38099bc4b7",
    "frame_token": "bd063ae874da437ab0db3e2137be5d15",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Rain. B. H256 ABR compression. C. Snow. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-50-34+0800__CAM_FRONT__1531886121912465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_LEFT__1531886121904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_RIGHT__1531886121920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-50-34+0800__CAM_BACK__1531886121937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-50-34+0800__CAM_BACK_LEFT__1531886121947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_BACK_RIGHT__1531886121927893.jpg"
    }
  },
  {
    "scene_token": "1d4db80d13f342aba4881b38099bc4b7",
    "frame_token": "bd063ae874da437ab0db3e2137be5d15",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a person riding a motorcycle to the front left of the ego vehicle, a red car to the front left of the ego vehicle, a brown SUV to the back of the ego vehicle, and a traffic light with a green light to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_LEFT,0.4523,0.6579>, <c2,CAM_FRONT_LEFT,0.3688,0.5333>, <c3,CAM_BACK,0.5073,0.6648>, and <c4,CAM_FRONT,0.5214,0.4412>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-50-34+0800__CAM_FRONT__1531886121912465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_LEFT__1531886121904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_RIGHT__1531886121920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-50-34+0800__CAM_BACK__1531886121937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-50-34+0800__CAM_BACK_LEFT__1531886121947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_BACK_RIGHT__1531886121927893.jpg"
    }
  },
  {
    "scene_token": "1d4db80d13f342aba4881b38099bc4b7",
    "frame_token": "bd063ae874da437ab0db3e2137be5d15",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT_LEFT,0.4523,0.6579> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Turn right. C. Going ahead.",
    "answer": "A, Explanation: The object is a person riding a motorcycle, and it is moving to the left.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-50-34+0800__CAM_FRONT__1531886121912465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_LEFT__1531886121904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_RIGHT__1531886121920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-50-34+0800__CAM_BACK__1531886121937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-50-34+0800__CAM_BACK_LEFT__1531886121947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_BACK_RIGHT__1531886121927893.jpg"
    }
  },
  {
    "scene_token": "1d4db80d13f342aba4881b38099bc4b7",
    "frame_token": "bd063ae874da437ab0db3e2137be5d15",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_LEFT,0.4523,0.6579> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a person riding a motorcycle, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-50-34+0800__CAM_FRONT__1531886121912465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_LEFT__1531886121904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_RIGHT__1531886121920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-50-34+0800__CAM_BACK__1531886121937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-50-34+0800__CAM_BACK_LEFT__1531886121947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_BACK_RIGHT__1531886121927893.jpg"
    }
  },
  {
    "scene_token": "1d4db80d13f342aba4881b38099bc4b7",
    "frame_token": "bd063ae874da437ab0db3e2137be5d15",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT_LEFT,0.4523,0.6579> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that the object has little reference value for the ego vehicle, and the probability is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-50-34+0800__CAM_FRONT__1531886121912465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_LEFT__1531886121904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_RIGHT__1531886121920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-50-34+0800__CAM_BACK__1531886121937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-50-34+0800__CAM_BACK_LEFT__1531886121947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_BACK_RIGHT__1531886121927893.jpg"
    }
  },
  {
    "scene_token": "1d4db80d13f342aba4881b38099bc4b7",
    "frame_token": "bd063ae874da437ab0db3e2137be5d15",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT_LEFT,0.4523,0.6579> under colorquant corruption?",
    "answer": "Moderate left turn.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-50-34+0800__CAM_FRONT__1531886121912465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_LEFT__1531886121904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_RIGHT__1531886121920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-50-34+0800__CAM_BACK__1531886121937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-50-34+0800__CAM_BACK_LEFT__1531886121947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_BACK_RIGHT__1531886121927893.jpg"
    }
  },
  {
    "scene_token": "1d4db80d13f342aba4881b38099bc4b7",
    "frame_token": "bd063ae874da437ab0db3e2137be5d15",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which alters the color representation of the environment. To the front left, a person is riding a motorcycle, identified as <c1,CAM_FRONT_LEFT,0.4523,0.6579>. A red car is also moving in the same direction, marked as <c2,CAM_FRONT_LEFT,0.3688,0.5333>. Behind the ego vehicle, a brown SUV is present, labeled as <c3,CAM_BACK,0.5073,0.6648>. Ahead, a traffic light shows green, positioned at <c4,CAM_FRONT,0.5214,0.4412>. Despite the color distortion, these objects remain identifiable.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-50-34+0800__CAM_FRONT__1531886121912465.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_LEFT__1531886121904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_FRONT_RIGHT__1531886121920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-50-34+0800__CAM_BACK__1531886121937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-50-34+0800__CAM_BACK_LEFT__1531886121947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-50-34+0800__CAM_BACK_RIGHT__1531886121927893.jpg"
    }
  },
  {
    "scene_token": "faa975eaad804c85bd8f2da9b30c8d9a",
    "frame_token": "99bcb06196bb4974bd600b4fc553caad",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Snow. B. Color quant. C. JPEG compression. D. Bit error",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-19-09-14+0800__CAM_FRONT__1542194076662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_LEFT__1542194076654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_RIGHT__1542194076670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-19-09-14+0800__CAM_BACK__1542194076687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-19-09-14+0800__CAM_BACK_LEFT__1542194076697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_BACK_RIGHT__1542194076677893.jpg"
    }
  },
  {
    "scene_token": "faa975eaad804c85bd8f2da9b30c8d9a",
    "frame_token": "99bcb06196bb4974bd600b4fc553caad",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT_RIGHT,0.5880,0.5436> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Turn right. C. Going ahead.",
    "answer": "A, Explanation: The object is an orange bus moving to the left.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-19-09-14+0800__CAM_FRONT__1542194076662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_LEFT__1542194076654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_RIGHT__1542194076670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-19-09-14+0800__CAM_BACK__1542194076687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-19-09-14+0800__CAM_BACK_LEFT__1542194076697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_BACK_RIGHT__1542194076677893.jpg"
    }
  },
  {
    "scene_token": "faa975eaad804c85bd8f2da9b30c8d9a",
    "frame_token": "99bcb06196bb4974bd600b4fc553caad",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is an orange bus to the front right of the ego vehicle, a black commercial vehicle to the back of the ego vehicle, a silver sedan to the front of the ego vehicle, a red car to the front of the ego vehicle, and a please pass to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_RIGHT,0.5880,0.5436>, <c2,CAM_BACK,0.4609,0.6092>, <c3,CAM_FRONT,0.8734,0.6519>, <c4,CAM_FRONT,0.2870,0.5852>, and <c5,CAM_FRONT,0.6968,0.4658>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-19-09-14+0800__CAM_FRONT__1542194076662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_LEFT__1542194076654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_RIGHT__1542194076670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-19-09-14+0800__CAM_BACK__1542194076687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-19-09-14+0800__CAM_BACK_LEFT__1542194076697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_BACK_RIGHT__1542194076677893.jpg"
    }
  },
  {
    "scene_token": "faa975eaad804c85bd8f2da9b30c8d9a",
    "frame_token": "99bcb06196bb4974bd600b4fc553caad",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_RIGHT,0.5880,0.5436> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is an orange bus, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-19-09-14+0800__CAM_FRONT__1542194076662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_LEFT__1542194076654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_RIGHT__1542194076670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-19-09-14+0800__CAM_BACK__1542194076687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-19-09-14+0800__CAM_BACK_LEFT__1542194076697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_BACK_RIGHT__1542194076677893.jpg"
    }
  },
  {
    "scene_token": "faa975eaad804c85bd8f2da9b30c8d9a",
    "frame_token": "99bcb06196bb4974bd600b4fc553caad",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT_RIGHT,0.5880,0.5436> under colorquant corruption?",
    "answer": "Moderate right turn.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-19-09-14+0800__CAM_FRONT__1542194076662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_LEFT__1542194076654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_RIGHT__1542194076670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-19-09-14+0800__CAM_BACK__1542194076687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-19-09-14+0800__CAM_BACK_LEFT__1542194076697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_BACK_RIGHT__1542194076677893.jpg"
    }
  },
  {
    "scene_token": "faa975eaad804c85bd8f2da9b30c8d9a",
    "frame_token": "99bcb06196bb4974bd600b4fc553caad",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Decelerate gradually without braking and maintain the current speed.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-19-09-14+0800__CAM_FRONT__1542194076662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_LEFT__1542194076654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_RIGHT__1542194076670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-19-09-14+0800__CAM_BACK__1542194076687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-19-09-14+0800__CAM_BACK_LEFT__1542194076697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_BACK_RIGHT__1542194076677893.jpg"
    }
  },
  {
    "scene_token": "faa975eaad804c85bd8f2da9b30c8d9a",
    "frame_token": "99bcb06196bb4974bd600b4fc553caad",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is heavily affected by colorquant corruption, making it difficult to distinguish colors and details. An orange bus is moving to the front right of the ego vehicle at coordinates (0.5880, 0.5436). A black commercial vehicle is moving behind the ego vehicle at coordinates (0.4609, 0.6092). A silver sedan is moving in front of the ego vehicle at coordinates (0.8734, 0.6519). A red car is stationary in front of the ego vehicle at coordinates (0.2870, 0.5852). A traffic element with a 'please pass' sign is located in front of the ego vehicle at coordinates (0.6968, 0.4658). The overall visibility is reduced, requiring careful navigation.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-19-09-14+0800__CAM_FRONT__1542194076662460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_LEFT__1542194076654844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_FRONT_RIGHT__1542194076670339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-19-09-14+0800__CAM_BACK__1542194076687525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-19-09-14+0800__CAM_BACK_LEFT__1542194076697423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-19-09-14+0800__CAM_BACK_RIGHT__1542194076677893.jpg"
    }
  },
  {
    "scene_token": "521f01dfc8c9402e8309e047e2eea112",
    "frame_token": "32cb24b62ecf49e8ac67220b8fa3f6c7",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Snow. B. Color quant. C. Saturate. D. Dark",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537299484612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537299484604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537299484620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537299484637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537299484647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537299484628113.jpg"
    }
  },
  {
    "scene_token": "521f01dfc8c9402e8309e047e2eea112",
    "frame_token": "32cb24b62ecf49e8ac67220b8fa3f6c7",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT_LEFT,0.2026,0.5380> under colorquant conditions? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "A, Explanation: The object is a black car moving to the left.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537299484612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537299484604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537299484620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537299484637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537299484647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537299484628113.jpg"
    }
  },
  {
    "scene_token": "521f01dfc8c9402e8309e047e2eea112",
    "frame_token": "32cb24b62ecf49e8ac67220b8fa3f6c7",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant conditions? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black car to the front left of the ego vehicle, a black small car to the back left of the ego vehicle, and a white bicycle lane to the front right of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_LEFT,0.2026,0.5380>, <c2,CAM_BACK_LEFT,0.3203,0.6186>, and <c3,CAM_FRONT_RIGHT,0.5057,0.7596>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537299484612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537299484604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537299484620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537299484637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537299484647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537299484628113.jpg"
    }
  },
  {
    "scene_token": "521f01dfc8c9402e8309e047e2eea112",
    "frame_token": "32cb24b62ecf49e8ac67220b8fa3f6c7",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_LEFT,0.2026,0.5380> a traffic sign or a road barrier under colorquant conditions?",
    "answer": "No, Explanation: The object is a black car, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537299484612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537299484604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537299484620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537299484637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537299484647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537299484628113.jpg"
    }
  },
  {
    "scene_token": "521f01dfc8c9402e8309e047e2eea112",
    "frame_token": "32cb24b62ecf49e8ac67220b8fa3f6c7",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant conditions? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly notice white bicycle lane at right camera. The object is a traffic sign, so the ego vehicle should turn right. Secondly notice black car at left camera. The object is turning left, so the ego vehicle should turn right. Thirdly notice black small car at left rear camera. The object is stationary, so the ego vehicle should turn right.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537299484612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537299484604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537299484620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537299484637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537299484647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537299484628113.jpg"
    }
  },
  {
    "scene_token": "521f01dfc8c9402e8309e047e2eea112",
    "frame_token": "32cb24b62ecf49e8ac67220b8fa3f6c7",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT_LEFT,0.2026,0.5380> under colorquant conditions? Why take this action and what's the probability?",
    "answer": "The action is to turn right. The reason is to avoid a collision, which has a high probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537299484612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537299484604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537299484620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537299484637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537299484647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537299484628113.jpg"
    }
  },
  {
    "scene_token": "521f01dfc8c9402e8309e047e2eea112",
    "frame_token": "32cb24b62ecf49e8ac67220b8fa3f6c7",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant conditions, what are safe actions to take for the ego vehicle?",
    "answer": "Turn right, decelerate gradually without braking.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537299484612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537299484604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537299484620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537299484637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537299484647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537299484628113.jpg"
    }
  },
  {
    "scene_token": "521f01dfc8c9402e8309e047e2eea112",
    "frame_token": "32cb24b62ecf49e8ac67220b8fa3f6c7",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant conditions. Include both general description and key objects and their positions.",
    "answer": "The environment appears visually altered due to colorquant conditions, making it challenging to distinguish objects clearly. The scene includes a black car moving to the front left of the ego vehicle, positioned at coordinates <c1,CAM_FRONT_LEFT,0.2026,0.5380>. A stationary black small car is located to the back left at <c2,CAM_BACK_LEFT,0.3203,0.6186>. Additionally, a white bicycle lane is visible to the front right at <c3,CAM_FRONT_RIGHT,0.5057,0.7596>. The overall visibility is reduced, requiring careful navigation.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-15-26-58-0400__CAM_FRONT__1537299484612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_LEFT__1537299484604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_FRONT_RIGHT__1537299484620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-15-26-58-0400__CAM_BACK__1537299484637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-15-26-58-0400__CAM_BACK_LEFT__1537299484647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-15-26-58-0400__CAM_BACK_RIGHT__1537299484628113.jpg"
    }
  },
  {
    "scene_token": "a6fae4900f8e46cba689b59b5bc8a2ab",
    "frame_token": "475b8b52d4c34324bc57fc121f615121",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Dark. B. Bit error. C. Rain. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-43-59-0400__CAM_FRONT__1537296522512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_LEFT__1537296522504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_RIGHT__1537296522520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-43-59-0400__CAM_BACK__1537296522537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-43-59-0400__CAM_BACK_LEFT__1537296522547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_BACK_RIGHT__1537296522528113.jpg"
    }
  },
  {
    "scene_token": "a6fae4900f8e46cba689b59b5bc8a2ab",
    "frame_token": "475b8b52d4c34324bc57fc121f615121",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c3,CAM_FRONT,0.5052,0.5686> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Turn right. C. Going ahead.",
    "answer": "A, Explanation: The object is a black sedan, and despite the colorquant corruption, it is moving ahead.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-43-59-0400__CAM_FRONT__1537296522512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_LEFT__1537296522504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_RIGHT__1537296522520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-43-59-0400__CAM_BACK__1537296522537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-43-59-0400__CAM_BACK_LEFT__1537296522547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_BACK_RIGHT__1537296522528113.jpg"
    }
  },
  {
    "scene_token": "a6fae4900f8e46cba689b59b5bc8a2ab",
    "frame_token": "475b8b52d4c34324bc57fc121f615121",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white SUV to the back of the ego vehicle, a white motorhome to the front right of the ego vehicle, a black sedan to the front of the ego vehicle, and a red light to the front of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.6000,0.5491>, <c2,CAM_FRONT_RIGHT,0.4373,0.6236>, <c3,CAM_FRONT,0.5052,0.5686>, and <c4,CAM_FRONT,0.6431,0.5178>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-43-59-0400__CAM_FRONT__1537296522512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_LEFT__1537296522504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_RIGHT__1537296522520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-43-59-0400__CAM_BACK__1537296522537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-43-59-0400__CAM_BACK_LEFT__1537296522547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_BACK_RIGHT__1537296522528113.jpg"
    }
  },
  {
    "scene_token": "a6fae4900f8e46cba689b59b5bc8a2ab",
    "frame_token": "475b8b52d4c34324bc57fc121f615121",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.6000,0.5491> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a white SUV, and the colorquant corruption does not change its identification as a vehicle.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-43-59-0400__CAM_FRONT__1537296522512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_LEFT__1537296522504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_RIGHT__1537296522520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-43-59-0400__CAM_BACK__1537296522537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-43-59-0400__CAM_BACK_LEFT__1537296522547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_BACK_RIGHT__1537296522528113.jpg"
    }
  },
  {
    "scene_token": "a6fae4900f8e46cba689b59b5bc8a2ab",
    "frame_token": "475b8b52d4c34324bc57fc121f615121",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.6000,0.5491> under colorquant corruption?",
    "answer": "No such action will lead to a collision.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-43-59-0400__CAM_FRONT__1537296522512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_LEFT__1537296522504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_RIGHT__1537296522520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-43-59-0400__CAM_BACK__1537296522537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-43-59-0400__CAM_BACK_LEFT__1537296522547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_BACK_RIGHT__1537296522528113.jpg"
    }
  },
  {
    "scene_token": "a6fae4900f8e46cba689b59b5bc8a2ab",
    "frame_token": "475b8b52d4c34324bc57fc121f615121",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK,0.6000,0.5491> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that the object has little reference value for the ego vehicle, with a high probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-43-59-0400__CAM_FRONT__1537296522512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_LEFT__1537296522504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_RIGHT__1537296522520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-43-59-0400__CAM_BACK__1537296522537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-43-59-0400__CAM_BACK_LEFT__1537296522547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_BACK_RIGHT__1537296522528113.jpg"
    }
  },
  {
    "scene_token": "a6fae4900f8e46cba689b59b5bc8a2ab",
    "frame_token": "475b8b52d4c34324bc57fc121f615121",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The driving scene is affected by colorquant corruption, which alters the color representation of the environment. Despite this, key objects are identifiable: a white SUV is stationary at the back of the ego vehicle, a white motorhome is stationary to the front right, a black sedan is moving ahead in front of the ego vehicle, and a red light is visible ahead. The road appears wet, suggesting recent rain, and the surrounding trees and buildings are darkened by the corruption effect.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-43-59-0400__CAM_FRONT__1537296522512404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_LEFT__1537296522504799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_FRONT_RIGHT__1537296522520482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-43-59-0400__CAM_BACK__1537296522537558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-43-59-0400__CAM_BACK_LEFT__1537296522547405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-43-59-0400__CAM_BACK_RIGHT__1537296522528113.jpg"
    }
  },
  {
    "scene_token": "fb255bba9b6a4f37a8894e336d2136f1",
    "frame_token": "6960470e56374cedb4fcdc7ea094d8ee",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Dark. C. JPEG compression. D. Snow",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985171262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985171254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985171270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985171287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985171297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985171277893.jpg"
    }
  },
  {
    "scene_token": "fb255bba9b6a4f37a8894e336d2136f1",
    "frame_token": "6960470e56374cedb4fcdc7ea094d8ee",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a green bus to the back of the ego vehicle, a pedestrian in black pants to the front of the ego vehicle, a convex mirror to the front of the ego vehicle, and a red sign to the back left of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.6231,0.6020>, <c2,CAM_FRONT,0.9000,0.5426>, <c3,CAM_FRONT,0.7492,0.5270>, and <c4,CAM_BACK_LEFT,0.2753,0.4953>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985171262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985171254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985171270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985171287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985171297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985171277893.jpg"
    }
  },
  {
    "scene_token": "fb255bba9b6a4f37a8894e336d2136f1",
    "frame_token": "6960470e56374cedb4fcdc7ea094d8ee",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.6231,0.6020> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "B, Explanation: The object is a green bus moving to the left.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985171262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985171254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985171270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985171287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985171297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985171277893.jpg"
    }
  },
  {
    "scene_token": "fb255bba9b6a4f37a8894e336d2136f1",
    "frame_token": "6960470e56374cedb4fcdc7ea094d8ee",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.6231,0.6020> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a green bus, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985171262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985171254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985171270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985171287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985171297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985171277893.jpg"
    }
  },
  {
    "scene_token": "fb255bba9b6a4f37a8894e336d2136f1",
    "frame_token": "6960470e56374cedb4fcdc7ea094d8ee",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.6231,0.6020> under colorquant corruption?",
    "answer": "Brake suddenly.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985171262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985171254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985171270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985171287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985171297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985171277893.jpg"
    }
  },
  {
    "scene_token": "fb255bba9b6a4f37a8894e336d2136f1",
    "frame_token": "6960470e56374cedb4fcdc7ea094d8ee",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Turn left, slightly offset to the left.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985171262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985171254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985171270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985171287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985171297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985171277893.jpg"
    }
  },
  {
    "scene_token": "fb255bba9b6a4f37a8894e336d2136f1",
    "frame_token": "6960470e56374cedb4fcdc7ea094d8ee",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, which alters the color perception, making it challenging to distinguish objects. A green bus is moving behind the ego vehicle at coordinates <c1,CAM_BACK,0.6231,0.6020>. A pedestrian in black pants is moving in front of the ego vehicle at coordinates <c2,CAM_FRONT,0.9000,0.5426>. A convex mirror is positioned in front of the ego vehicle at coordinates <c3,CAM_FRONT,0.7492,0.5270>. A red sign is located to the back left of the ego vehicle at coordinates <c4,CAM_BACK_LEFT,0.2753,0.4953>. The overall scene is dim and colors are less distinct, requiring careful attention to object recognition.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985171262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985171254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985171270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985171287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985171297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985171277893.jpg"
    }
  },
  {
    "scene_token": "f123185f3bb64faebc08d4453aec2659",
    "frame_token": "c76bf158abdb4dc189638184b51e0fcc",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Rain. B. Color quant. C. Saturate. D. Sensor failure",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535729512612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535729512604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535729512620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535729512637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535729512647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535729512628113.jpg"
    }
  },
  {
    "scene_token": "f123185f3bb64faebc08d4453aec2659",
    "frame_token": "c76bf158abdb4dc189638184b51e0fcc",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.0674,0.4167> under colorquant conditions? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "A, Explanation: The object is a white truck, and despite the colorquant corruption, it is turning left.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535729512612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535729512604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535729512620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535729512637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535729512647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535729512628113.jpg"
    }
  },
  {
    "scene_token": "f123185f3bb64faebc08d4453aec2659",
    "frame_token": "c76bf158abdb4dc189638184b51e0fcc",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant conditions? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white truck to the front of the ego vehicle, a white truck to the back of the ego vehicle, and a green light to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.0674,0.4167>, <c2,CAM_BACK,0.2672,0.5504>, and <c3,CAM_FRONT,0.7051,0.3099>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535729512612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535729512604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535729512620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535729512637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535729512647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535729512628113.jpg"
    }
  },
  {
    "scene_token": "f123185f3bb64faebc08d4453aec2659",
    "frame_token": "c76bf158abdb4dc189638184b51e0fcc",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.0674,0.4167> a traffic sign or a road barrier under colorquant conditions?",
    "answer": "No, Explanation: The object is a white truck, not a traffic sign or road barrier, even under colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535729512612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535729512604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535729512620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535729512637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535729512647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535729512628113.jpg"
    }
  },
  {
    "scene_token": "f123185f3bb64faebc08d4453aec2659",
    "frame_token": "c76bf158abdb4dc189638184b51e0fcc",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant conditions? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly notice that green light at front camera. The object is a traffic sign, so the ego vehicle should keep going ahead at the same speed. Secondly, notice that white truck at front camera. The object is turning left, so the ego vehicle should keep going ahead at the same speed. Thirdly, notice that white truck at back camera. The object is going ahead, so the ego vehicle should keep going ahead at the same speed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535729512612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535729512604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535729512620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535729512637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535729512647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535729512628113.jpg"
    }
  },
  {
    "scene_token": "f123185f3bb64faebc08d4453aec2659",
    "frame_token": "c76bf158abdb4dc189638184b51e0fcc",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant conditions, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed and decelerate gradually without braking.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535729512612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535729512604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535729512620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535729512637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535729512647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535729512628113.jpg"
    }
  },
  {
    "scene_token": "f123185f3bb64faebc08d4453aec2659",
    "frame_token": "c76bf158abdb4dc189638184b51e0fcc",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.0674,0.4167> under colorquant conditions? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue. The probability is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535729512612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535729512604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535729512620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535729512637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535729512647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535729512628113.jpg"
    }
  },
  {
    "scene_token": "f123185f3bb64faebc08d4453aec2659",
    "frame_token": "c76bf158abdb4dc189638184b51e0fcc",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant conditions. Include both general description and key objects and their positions.",
    "answer": "The environment is urban with tall buildings surrounding the road. The colorquant corruption has altered the colors, making it challenging to distinguish details. A white truck is moving in front of the ego vehicle at coordinates <c1,CAM_FRONT,0.0674,0.4167>. Another white truck is moving behind the ego vehicle at coordinates <c2,CAM_BACK,0.2672,0.5504>. A green light is visible ahead at coordinates <c3,CAM_FRONT,0.7051,0.3099>. Despite the color distortion, the scene remains navigable.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535729512612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535729512604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535729512620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535729512637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535729512647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535729512628113.jpg"
    }
  },
  {
    "scene_token": "4a4d09496d594c7385a1ec227bdb3a7f",
    "frame_token": "d885687979384c1eb6bf37a5a0b8d9c3",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Saturate. B. Zoom blur. C. H256 ABR compression. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-53-31-0400__CAM_FRONT__1537289816662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_LEFT__1537289816654811.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_RIGHT__1537289816670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-53-31-0400__CAM_BACK__1537289816689759.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-53-31-0400__CAM_BACK_LEFT__1537289816697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_BACK_RIGHT__1537289816678113.jpg"
    }
  },
  {
    "scene_token": "4a4d09496d594c7385a1ec227bdb3a7f",
    "frame_token": "d885687979384c1eb6bf37a5a0b8d9c3",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white sedan car to the back of the ego vehicle, a white sedan to the front of the ego vehicle, a black SUV to the back of the ego vehicle, and a red and white truck to the front of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.6031,0.5463>, <c2,CAM_FRONT,0.8245,0.5491>, <c3,CAM_BACK,0.2396,0.5398>, and <c4,CAM_FRONT,0.4468,0.5158>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-53-31-0400__CAM_FRONT__1537289816662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_LEFT__1537289816654811.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_RIGHT__1537289816670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-53-31-0400__CAM_BACK__1537289816689759.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-53-31-0400__CAM_BACK_LEFT__1537289816697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_BACK_RIGHT__1537289816678113.jpg"
    }
  },
  {
    "scene_token": "4a4d09496d594c7385a1ec227bdb3a7f",
    "frame_token": "d885687979384c1eb6bf37a5a0b8d9c3",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c3,CAM_BACK,0.2396,0.5398> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "A, Explanation: The object is a black SUV and it is moving, which indicates it is turning left.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-53-31-0400__CAM_FRONT__1537289816662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_LEFT__1537289816654811.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_RIGHT__1537289816670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-53-31-0400__CAM_BACK__1537289816689759.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-53-31-0400__CAM_BACK_LEFT__1537289816697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_BACK_RIGHT__1537289816678113.jpg"
    }
  },
  {
    "scene_token": "4a4d09496d594c7385a1ec227bdb3a7f",
    "frame_token": "d885687979384c1eb6bf37a5a0b8d9c3",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.6031,0.5463> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a white sedan car, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-53-31-0400__CAM_FRONT__1537289816662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_LEFT__1537289816654811.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_RIGHT__1537289816670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-53-31-0400__CAM_BACK__1537289816689759.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-53-31-0400__CAM_BACK_LEFT__1537289816697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_BACK_RIGHT__1537289816678113.jpg"
    }
  },
  {
    "scene_token": "4a4d09496d594c7385a1ec227bdb3a7f",
    "frame_token": "d885687979384c1eb6bf37a5a0b8d9c3",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK,0.6031,0.5463> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed; the reason is that the object has little reference value for the ego vehicle, and the probability is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-53-31-0400__CAM_FRONT__1537289816662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_LEFT__1537289816654811.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_RIGHT__1537289816670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-53-31-0400__CAM_BACK__1537289816689759.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-53-31-0400__CAM_BACK_LEFT__1537289816697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_BACK_RIGHT__1537289816678113.jpg"
    }
  },
  {
    "scene_token": "4a4d09496d594c7385a1ec227bdb3a7f",
    "frame_token": "d885687979384c1eb6bf37a5a0b8d9c3",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.6031,0.5463> under colorquant corruption?",
    "answer": "Back up.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-53-31-0400__CAM_FRONT__1537289816662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_LEFT__1537289816654811.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_RIGHT__1537289816670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-53-31-0400__CAM_BACK__1537289816689759.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-53-31-0400__CAM_BACK_LEFT__1537289816697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_BACK_RIGHT__1537289816678113.jpg"
    }
  },
  {
    "scene_token": "4a4d09496d594c7385a1ec227bdb3a7f",
    "frame_token": "d885687979384c1eb6bf37a5a0b8d9c3",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, making the scene appear with reduced color depth and contrast. To the back of the ego vehicle, there is a stationary white sedan car at coordinates <c1,CAM_BACK,0.6031,0.5463>. In front, another stationary white sedan is located at <c2,CAM_FRONT,0.8245,0.5491>. A moving black SUV is positioned at <c3,CAM_BACK,0.2396,0.5398> to the back, and a stationary red and white truck is at <c4,CAM_FRONT,0.4468,0.5158> in front. The overall visibility is compromised, requiring careful navigation.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-53-31-0400__CAM_FRONT__1537289816662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_LEFT__1537289816654811.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_RIGHT__1537289816670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-53-31-0400__CAM_BACK__1537289816689759.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-53-31-0400__CAM_BACK_LEFT__1537289816697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_BACK_RIGHT__1537289816678113.jpg"
    }
  },
  {
    "scene_token": "58af378ff68b49c99aabf320dca1ee25",
    "frame_token": "307e92d2e2e74d2095fee2527c96af1d",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Dark. C. Zoom blur. D. Snow",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290667762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290667754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290667770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290667787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290667797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290667778113.jpg"
    }
  },
  {
    "scene_token": "58af378ff68b49c99aabf320dca1ee25",
    "frame_token": "307e92d2e2e74d2095fee2527c96af1d",
    "question_type": "robust_qas",
    "question": "Considering the colorquant corruption, what is the moving status of object <c1,CAM_FRONT,0.3636,0.5620>? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "A, Explanation: The object is a black sedan, and despite the colorquant corruption, it is turning left.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290667762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290667754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290667770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290667787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290667797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290667778113.jpg"
    }
  },
  {
    "scene_token": "58af378ff68b49c99aabf320dca1ee25",
    "frame_token": "307e92d2e2e74d2095fee2527c96af1d",
    "question_type": "robust_qas",
    "question": "Under colorquant corruption, what are the important objects in the current scene? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black sedan to the front of the ego vehicle, a white sedan car to the front of the ego vehicle, and a black sedan to the front left of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.3636,0.5620>, <c2,CAM_FRONT,0.2703,0.6000>, and <c3,CAM_FRONT_LEFT,0.7511,0.5972>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290667762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290667754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290667770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290667787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290667797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290667778113.jpg"
    }
  },
  {
    "scene_token": "58af378ff68b49c99aabf320dca1ee25",
    "frame_token": "307e92d2e2e74d2095fee2527c96af1d",
    "question_type": "robust_qas",
    "question": "With colorquant corruption, what object should the ego vehicle notice first when the ego vehicle is getting to the next possible location? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice black sedan at left camera, which is in a stationary state. The ego vehicle should continue moving forward at the same speed. Secondly, notice white sedan car at front camera, which is also in a stationary state. The ego vehicle should continue moving forward at the same speed. Thirdly, notice black sedan at front camera, which is moving forward. The ego vehicle should continue moving ahead at the same speed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290667762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290667754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290667770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290667787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290667797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290667778113.jpg"
    }
  },
  {
    "scene_token": "58af378ff68b49c99aabf320dca1ee25",
    "frame_token": "307e92d2e2e74d2095fee2527c96af1d",
    "question_type": "robust_qas",
    "question": "Under the colorquant corruption, is <c1,CAM_FRONT,0.3636,0.5620> a traffic sign or a road barrier?",
    "answer": "No, Explanation: The object is a black sedan, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290667762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290667754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290667770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290667787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290667797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290667778113.jpg"
    }
  },
  {
    "scene_token": "58af378ff68b49c99aabf320dca1ee25",
    "frame_token": "307e92d2e2e74d2095fee2527c96af1d",
    "question_type": "robust_qas",
    "question": "Considering the colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Decelerate gradually without braking.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290667762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290667754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290667770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290667787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290667797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290667778113.jpg"
    }
  },
  {
    "scene_token": "58af378ff68b49c99aabf320dca1ee25",
    "frame_token": "307e92d2e2e74d2095fee2527c96af1d",
    "question_type": "robust_qas",
    "question": "Under colorquant corruption, what actions could the ego vehicle take based on <c1,CAM_FRONT,0.3636,0.5620>? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue. The probability of this action is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290667762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290667754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290667770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290667787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290667797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290667778113.jpg"
    }
  },
  {
    "scene_token": "58af378ff68b49c99aabf320dca1ee25",
    "frame_token": "307e92d2e2e74d2095fee2527c96af1d",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is heavily affected by colorquant corruption, making the scene appear with reduced color depth and contrast. To the front of the ego vehicle, there is a black sedan moving, positioned at coordinates <c1,CAM_FRONT,0.3636,0.5620>. A white sedan car is stationary at coordinates <c2,CAM_FRONT,0.2703,0.6000>. To the front left, another black sedan is stationary at coordinates <c3,CAM_FRONT_LEFT,0.7511,0.5972>. The overall visibility is compromised, requiring careful navigation.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290667762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290667754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290667770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290667787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290667797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290667778113.jpg"
    }
  },
  {
    "scene_token": "26540bfbab79463cb1ba76b52ec6013b",
    "frame_token": "ba5c79c2ee1a4985b871f13e6c29cc49",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Fog. B. Motion blur. C. Saturate. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535728870362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535728870354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535728870370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535728870387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535728870397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535728870378113.jpg"
    }
  },
  {
    "scene_token": "26540bfbab79463cb1ba76b52ec6013b",
    "frame_token": "ba5c79c2ee1a4985b871f13e6c29cc49",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.3677,0.5519> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "B, Explanation: The object is a white SUV turning left, and the colorquant corruption does not affect its movement direction.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535728870362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535728870354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535728870370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535728870387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535728870397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535728870378113.jpg"
    }
  },
  {
    "scene_token": "26540bfbab79463cb1ba76b52ec6013b",
    "frame_token": "ba5c79c2ee1a4985b871f13e6c29cc49",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white SUV to the front of the ego vehicle, a white SUV to the back of the ego vehicle, and a white sedan to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.3677,0.5519>, <c2,CAM_BACK,0.5437,0.5481>, and <c3,CAM_FRONT,0.2986,0.5624>. The colorquant corruption does not obscure these objects.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535728870362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535728870354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535728870370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535728870387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535728870397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535728870378113.jpg"
    }
  },
  {
    "scene_token": "26540bfbab79463cb1ba76b52ec6013b",
    "frame_token": "ba5c79c2ee1a4985b871f13e6c29cc49",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant corruption? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly notice that white SUV at back camera. The object is going ahead, so the ego vehicle should slow down and go ahead. Secondly, notice that white SUV at front camera. The object is turning left, so the ego vehicle should slow down and go ahead. Thirdly, notice that white sedan at front camera. The object is turning left, so the ego vehicle should keep going ahead at the same speed. The colorquant corruption does not affect the order of noticing these objects.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535728870362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535728870354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535728870370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535728870387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535728870397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535728870378113.jpg"
    }
  },
  {
    "scene_token": "26540bfbab79463cb1ba76b52ec6013b",
    "frame_token": "ba5c79c2ee1a4985b871f13e6c29cc49",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.3677,0.5519> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a white SUV, not a traffic sign or road barrier, and the colorquant corruption does not change its classification.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535728870362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535728870354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535728870370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535728870387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535728870397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535728870378113.jpg"
    }
  },
  {
    "scene_token": "26540bfbab79463cb1ba76b52ec6013b",
    "frame_token": "ba5c79c2ee1a4985b871f13e6c29cc49",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.3677,0.5519> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue. The probability is high. The colorquant corruption does not affect the decision.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535728870362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535728870354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535728870370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535728870387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535728870397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535728870378113.jpg"
    }
  },
  {
    "scene_token": "26540bfbab79463cb1ba76b52ec6013b",
    "frame_token": "ba5c79c2ee1a4985b871f13e6c29cc49",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, decelerate gradually without braking, and turn left. The colorquant corruption does not affect these safe actions.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535728870362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535728870354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535728870370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535728870387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535728870397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535728870378113.jpg"
    }
  },
  {
    "scene_token": "26540bfbab79463cb1ba76b52ec6013b",
    "frame_token": "ba5c79c2ee1a4985b871f13e6c29cc49",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, which alters the color palette of the scene, making it appear with reduced color depth. Despite this, key objects remain identifiable: a white SUV is positioned at the front of the ego vehicle at coordinates <c1,CAM_FRONT,0.3677,0.5519>, another white SUV is at the back at <c2,CAM_BACK,0.5437,0.5481>, and a white sedan is also at the front at <c3,CAM_FRONT,0.2986,0.5624>. The road is bordered by barriers with visible signage, and the sky appears in a limited range of colors, indicating clear weather conditions.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535728870362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535728870354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535728870370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535728870387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535728870397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535728870378113.jpg"
    }
  },
  {
    "scene_token": "c34206e65a1442828b950b0ca52098b7",
    "frame_token": "10a4d313c9d24514be3b9679b20d0f5d",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Fog. C. Saturate. D. JPEG compression",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-27-15-33-17+0800__CAM_FRONT__1538033794262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_LEFT__1538033794254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_RIGHT__1538033794270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-27-15-33-17+0800__CAM_BACK__1538033794287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-27-15-33-17+0800__CAM_BACK_LEFT__1538033794297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_BACK_RIGHT__1538033794277893.jpg"
    }
  },
  {
    "scene_token": "c34206e65a1442828b950b0ca52098b7",
    "frame_token": "10a4d313c9d24514be3b9679b20d0f5d",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.5630,0.5806> under colorquant corruption? Please select the correct answer from the following options: A. Turn right. B. Going ahead. C. Turn left.",
    "answer": "A, Explanation: The object is a yellow sedan moving ahead, and the colorquant corruption does not affect its status.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-27-15-33-17+0800__CAM_FRONT__1538033794262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_LEFT__1538033794254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_RIGHT__1538033794270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-27-15-33-17+0800__CAM_BACK__1538033794287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-27-15-33-17+0800__CAM_BACK_LEFT__1538033794297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_BACK_RIGHT__1538033794277893.jpg"
    }
  },
  {
    "scene_token": "c34206e65a1442828b950b0ca52098b7",
    "frame_token": "10a4d313c9d24514be3b9679b20d0f5d",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a yellow sedan to the front of the ego vehicle, a man wearing light blue jeans to the front of the ego vehicle, a gray sedan to the back of the ego vehicle, and a white van to the back of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.5630,0.5806>, <c2,CAM_FRONT,0.7333,0.5797>, <c3,CAM_BACK,0.4391,0.5556>, and <c4,CAM_BACK,0.5081,0.5452>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-27-15-33-17+0800__CAM_FRONT__1538033794262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_LEFT__1538033794254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_RIGHT__1538033794270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-27-15-33-17+0800__CAM_BACK__1538033794287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-27-15-33-17+0800__CAM_BACK_LEFT__1538033794297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_BACK_RIGHT__1538033794277893.jpg"
    }
  },
  {
    "scene_token": "c34206e65a1442828b950b0ca52098b7",
    "frame_token": "10a4d313c9d24514be3b9679b20d0f5d",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.5630,0.5806> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a yellow sedan, and the colorquant corruption does not change its category.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-27-15-33-17+0800__CAM_FRONT__1538033794262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_LEFT__1538033794254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_RIGHT__1538033794270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-27-15-33-17+0800__CAM_BACK__1538033794287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-27-15-33-17+0800__CAM_BACK_LEFT__1538033794297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_BACK_RIGHT__1538033794277893.jpg"
    }
  },
  {
    "scene_token": "c34206e65a1442828b950b0ca52098b7",
    "frame_token": "10a4d313c9d24514be3b9679b20d0f5d",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.5630,0.5806> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to decelerate gradually without braking. The reason is to maintain a safe distance, which is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-27-15-33-17+0800__CAM_FRONT__1538033794262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_LEFT__1538033794254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_RIGHT__1538033794270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-27-15-33-17+0800__CAM_BACK__1538033794287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-27-15-33-17+0800__CAM_BACK_LEFT__1538033794297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_BACK_RIGHT__1538033794277893.jpg"
    }
  },
  {
    "scene_token": "c34206e65a1442828b950b0ca52098b7",
    "frame_token": "10a4d313c9d24514be3b9679b20d0f5d",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Decelerate gradually without braking, keep going at the same speed, slightly offset to the left.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-27-15-33-17+0800__CAM_FRONT__1538033794262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_LEFT__1538033794254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_RIGHT__1538033794270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-27-15-33-17+0800__CAM_BACK__1538033794287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-27-15-33-17+0800__CAM_BACK_LEFT__1538033794297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_BACK_RIGHT__1538033794277893.jpg"
    }
  },
  {
    "scene_token": "c34206e65a1442828b950b0ca52098b7",
    "frame_token": "10a4d313c9d24514be3b9679b20d0f5d",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which reduces the color depth, making the environment appear with fewer colors. Despite this, key objects are identifiable: a yellow sedan is moving ahead at coordinates <c1,CAM_FRONT,0.5630,0.5806>, a stationary man wearing light blue jeans is at <c2,CAM_FRONT,0.7333,0.5797>, a gray sedan is stationary at the back at <c3,CAM_BACK,0.4391,0.5556>, and a white van is moving at <c4,CAM_BACK,0.5081,0.5452>. The road is visible, though the colorquant effect makes it appear darker.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-27-15-33-17+0800__CAM_FRONT__1538033794262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_LEFT__1538033794254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_FRONT_RIGHT__1538033794270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-27-15-33-17+0800__CAM_BACK__1538033794287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-27-15-33-17+0800__CAM_BACK_LEFT__1538033794297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-27-15-33-17+0800__CAM_BACK_RIGHT__1538033794277893.jpg"
    }
  },
  {
    "scene_token": "f9e460f092c94466b1211704b5a8859d",
    "frame_token": "8e8e071e57d74e6c973ff03a4bf48ec6",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Zoom blur. B. Color quant. C. Saturate. D. Rain",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-15-10-21+0800__CAM_FRONT__1533107660512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_LEFT__1533107660504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_RIGHT__1533107660520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-15-10-21+0800__CAM_BACK__1533107660537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-15-10-21+0800__CAM_BACK_LEFT__1533107660547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_BACK_RIGHT__1533107660527893.jpg"
    }
  },
  {
    "scene_token": "f9e460f092c94466b1211704b5a8859d",
    "frame_token": "8e8e071e57d74e6c973ff03a4bf48ec6",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.6776,0.6009> under colorquant corruption? Please select the correct answer from the following options: A. Turn right. B. Turn left. C. Going ahead.",
    "answer": "A, Explanation: The object is a blue car turning right, and the colorquant corruption does not affect its movement.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-15-10-21+0800__CAM_FRONT__1533107660512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_LEFT__1533107660504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_RIGHT__1533107660520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-15-10-21+0800__CAM_BACK__1533107660537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-15-10-21+0800__CAM_BACK_LEFT__1533107660547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_BACK_RIGHT__1533107660527893.jpg"
    }
  },
  {
    "scene_token": "f9e460f092c94466b1211704b5a8859d",
    "frame_token": "8e8e071e57d74e6c973ff03a4bf48ec6",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a blue car to the front of the ego vehicle, a silver sedan to the front of the ego vehicle, and a white sedan to the back of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.6776,0.6009>, <c2,CAM_FRONT,0.8766,0.6148>, and <c3,CAM_BACK,0.5016,0.6000>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-15-10-21+0800__CAM_FRONT__1533107660512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_LEFT__1533107660504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_RIGHT__1533107660520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-15-10-21+0800__CAM_BACK__1533107660537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-15-10-21+0800__CAM_BACK_LEFT__1533107660547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_BACK_RIGHT__1533107660527893.jpg"
    }
  },
  {
    "scene_token": "f9e460f092c94466b1211704b5a8859d",
    "frame_token": "8e8e071e57d74e6c973ff03a4bf48ec6",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.6776,0.6009> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a blue car, not a traffic sign or road barrier, even under colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-15-10-21+0800__CAM_FRONT__1533107660512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_LEFT__1533107660504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_RIGHT__1533107660520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-15-10-21+0800__CAM_BACK__1533107660537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-15-10-21+0800__CAM_BACK_LEFT__1533107660547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_BACK_RIGHT__1533107660527893.jpg"
    }
  },
  {
    "scene_token": "f9e460f092c94466b1211704b5a8859d",
    "frame_token": "8e8e071e57d74e6c973ff03a4bf48ec6",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant corruption? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly notice that blue car at front camera. The object is turning right, so the ego vehicle should keep going ahead at the same speed. Secondly notice that silver sedan at front camera. The object is going ahead, so the ego vehicle should keep going ahead at the same speed. Thirdly notice that white sedan at back camera. The object is going ahead, so the ego vehicle should keep going ahead at the same speed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-15-10-21+0800__CAM_FRONT__1533107660512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_LEFT__1533107660504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_RIGHT__1533107660520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-15-10-21+0800__CAM_BACK__1533107660537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-15-10-21+0800__CAM_BACK_LEFT__1533107660547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_BACK_RIGHT__1533107660527893.jpg"
    }
  },
  {
    "scene_token": "f9e460f092c94466b1211704b5a8859d",
    "frame_token": "8e8e071e57d74e6c973ff03a4bf48ec6",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.6776,0.6009> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed because there is no safety issue. The probability is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-15-10-21+0800__CAM_FRONT__1533107660512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_LEFT__1533107660504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_RIGHT__1533107660520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-15-10-21+0800__CAM_BACK__1533107660537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-15-10-21+0800__CAM_BACK_LEFT__1533107660547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_BACK_RIGHT__1533107660527893.jpg"
    }
  },
  {
    "scene_token": "f9e460f092c94466b1211704b5a8859d",
    "frame_token": "8e8e071e57d74e6c973ff03a4bf48ec6",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, brake gently to a stop, decelerate gradually without braking, slightly offset to the right, change to the right lane, turn left, or turn right.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-15-10-21+0800__CAM_FRONT__1533107660512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_LEFT__1533107660504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_RIGHT__1533107660520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-15-10-21+0800__CAM_BACK__1533107660537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-15-10-21+0800__CAM_BACK_LEFT__1533107660547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_BACK_RIGHT__1533107660527893.jpg"
    }
  },
  {
    "scene_token": "f9e460f092c94466b1211704b5a8859d",
    "frame_token": "8e8e071e57d74e6c973ff03a4bf48ec6",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, causing a reduction in color detail. Despite this, the scene includes a blue car turning right at the front (coordinates <c1,CAM_FRONT,0.6776,0.6009>), a silver sedan moving straight ahead (coordinates <c2,CAM_FRONT,0.8766,0.6148>), and a white sedan moving straight at the back (coordinates <c3,CAM_BACK,0.5016,0.6000>). The road is lined with trees, and visibility is slightly reduced due to the color distortion.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-15-10-21+0800__CAM_FRONT__1533107660512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_LEFT__1533107660504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_RIGHT__1533107660520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-15-10-21+0800__CAM_BACK__1533107660537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-15-10-21+0800__CAM_BACK_LEFT__1533107660547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_BACK_RIGHT__1533107660527893.jpg"
    }
  },
  {
    "scene_token": "f9e460f092c94466b1211704b5a8859d",
    "frame_token": "4ebc2b692a244fb991436fde83519b7e",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Snow. B. Color quant. C. Saturate. D. Rain",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-15-10-21+0800__CAM_FRONT__1533107676362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_LEFT__1533107676354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_RIGHT__1533107676370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-15-10-21+0800__CAM_BACK__1533107676387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-15-10-21+0800__CAM_BACK_LEFT__1533107676397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_BACK_RIGHT__1533107676377893.jpg"
    }
  },
  {
    "scene_token": "f9e460f092c94466b1211704b5a8859d",
    "frame_token": "4ebc2b692a244fb991436fde83519b7e",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.3833,0.5463> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "A, Explanation: The object is a gray sedan, and despite the colorquant corruption, it is turning left.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-15-10-21+0800__CAM_FRONT__1533107676362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_LEFT__1533107676354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_RIGHT__1533107676370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-15-10-21+0800__CAM_BACK__1533107676387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-15-10-21+0800__CAM_BACK_LEFT__1533107676397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_BACK_RIGHT__1533107676377893.jpg"
    }
  },
  {
    "scene_token": "f9e460f092c94466b1211704b5a8859d",
    "frame_token": "4ebc2b692a244fb991436fde83519b7e",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a gray sedan to the front of the ego vehicle, a white SUV to the back of the ego vehicle, and a parking sign to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.3833,0.5463>, <c2,CAM_BACK,0.5052,0.5806>, and <c3,CAM_FRONT,0.4021,0.5238>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-15-10-21+0800__CAM_FRONT__1533107676362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_LEFT__1533107676354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_RIGHT__1533107676370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-15-10-21+0800__CAM_BACK__1533107676387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-15-10-21+0800__CAM_BACK_LEFT__1533107676397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_BACK_RIGHT__1533107676377893.jpg"
    }
  },
  {
    "scene_token": "f9e460f092c94466b1211704b5a8859d",
    "frame_token": "4ebc2b692a244fb991436fde83519b7e",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.3833,0.5463> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a gray sedan, not a traffic sign or road barrier, even under colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-15-10-21+0800__CAM_FRONT__1533107676362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_LEFT__1533107676354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_RIGHT__1533107676370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-15-10-21+0800__CAM_BACK__1533107676387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-15-10-21+0800__CAM_BACK_LEFT__1533107676397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_BACK_RIGHT__1533107676377893.jpg"
    }
  },
  {
    "scene_token": "f9e460f092c94466b1211704b5a8859d",
    "frame_token": "4ebc2b692a244fb991436fde83519b7e",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant corruption? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly notice that parking sign at front camera; the object is a traffic sign, so the ego vehicle should continue ahead at the same speed. Secondly notice that gray sedan at front camera; the object is turning left, so the ego vehicle should continue ahead at the same speed. Thirdly notice that white SUV at back camera; the object is going ahead, so the ego vehicle should continue ahead at the same speed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-15-10-21+0800__CAM_FRONT__1533107676362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_LEFT__1533107676354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_RIGHT__1533107676370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-15-10-21+0800__CAM_BACK__1533107676387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-15-10-21+0800__CAM_BACK_LEFT__1533107676397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_BACK_RIGHT__1533107676377893.jpg"
    }
  },
  {
    "scene_token": "f9e460f092c94466b1211704b5a8859d",
    "frame_token": "4ebc2b692a244fb991436fde83519b7e",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.3833,0.5463> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed because there is no safety issue. The probability of taking this action is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-15-10-21+0800__CAM_FRONT__1533107676362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_LEFT__1533107676354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_RIGHT__1533107676370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-15-10-21+0800__CAM_BACK__1533107676387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-15-10-21+0800__CAM_BACK_LEFT__1533107676397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_BACK_RIGHT__1533107676377893.jpg"
    }
  },
  {
    "scene_token": "f9e460f092c94466b1211704b5a8859d",
    "frame_token": "4ebc2b692a244fb991436fde83519b7e",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.3833,0.5463> under colorquant corruption?",
    "answer": "No action taken by the ego vehicle will lead to a collision with <c1,CAM_FRONT,0.3833,0.5463>.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-15-10-21+0800__CAM_FRONT__1533107676362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_LEFT__1533107676354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_RIGHT__1533107676370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-15-10-21+0800__CAM_BACK__1533107676387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-15-10-21+0800__CAM_BACK_LEFT__1533107676397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_BACK_RIGHT__1533107676377893.jpg"
    }
  },
  {
    "scene_token": "f9e460f092c94466b1211704b5a8859d",
    "frame_token": "4ebc2b692a244fb991436fde83519b7e",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which alters the color representation of the environment. A gray sedan is positioned at the front of the ego vehicle, moving and turning left, located at coordinates <c1,CAM_FRONT,0.3833,0.5463>. Behind the ego vehicle, a white SUV is moving straight ahead, located at coordinates <c2,CAM_BACK,0.5052,0.5806>. A parking sign is also visible in front of the ego vehicle at coordinates <c3,CAM_FRONT,0.4021,0.5238>. The road appears slightly distorted due to the colorquant effect, but the key objects remain identifiable.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-15-10-21+0800__CAM_FRONT__1533107676362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_LEFT__1533107676354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_RIGHT__1533107676370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-15-10-21+0800__CAM_BACK__1533107676387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-15-10-21+0800__CAM_BACK_LEFT__1533107676397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_BACK_RIGHT__1533107676377893.jpg"
    }
  },
  {
    "scene_token": "10dfdae842b543938a230f25a1e9f934",
    "frame_token": "2e3ff2906bc94da5943ac308568a88e1",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Snow. B. Motion blur. C. Color quant. D. Dark",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-03-15-00-36+0800__CAM_FRONT__1533280309912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_LEFT__1533280309904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_RIGHT__1533280309920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-03-15-00-36+0800__CAM_BACK__1533280309937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-03-15-00-36+0800__CAM_BACK_LEFT__1533280309947428.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_BACK_RIGHT__1533280309927893.jpg"
    }
  },
  {
    "scene_token": "10dfdae842b543938a230f25a1e9f934",
    "frame_token": "2e3ff2906bc94da5943ac308568a88e1",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_FRONT,0.5261,0.6639> under colorquant conditions? Please select the correct answer from the following options: A. Turn right. B. Going ahead. C. Turn left.",
    "answer": "A, Explanation: The object is a black sedan, and despite the colorquant corruption, it is turning right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-03-15-00-36+0800__CAM_FRONT__1533280309912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_LEFT__1533280309904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_RIGHT__1533280309920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-03-15-00-36+0800__CAM_BACK__1533280309937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-03-15-00-36+0800__CAM_BACK_LEFT__1533280309947428.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_BACK_RIGHT__1533280309927893.jpg"
    }
  },
  {
    "scene_token": "10dfdae842b543938a230f25a1e9f934",
    "frame_token": "2e3ff2906bc94da5943ac308568a88e1",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant conditions? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a silver sedan to the front left of the ego vehicle, a black sedan to the front of the ego vehicle, and a red car to the front right of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_LEFT,0.5312,0.5686>, <c2,CAM_FRONT,0.5261,0.6639>, and <c3,CAM_FRONT_RIGHT,0.2531,0.7898>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-03-15-00-36+0800__CAM_FRONT__1533280309912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_LEFT__1533280309904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_RIGHT__1533280309920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-03-15-00-36+0800__CAM_BACK__1533280309937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-03-15-00-36+0800__CAM_BACK_LEFT__1533280309947428.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_BACK_RIGHT__1533280309927893.jpg"
    }
  },
  {
    "scene_token": "10dfdae842b543938a230f25a1e9f934",
    "frame_token": "2e3ff2906bc94da5943ac308568a88e1",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_LEFT,0.5312,0.5686> a traffic sign or a road barrier under colorquant conditions?",
    "answer": "No, Explanation: The object is a silver sedan, not a traffic sign or road barrier, even under colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-03-15-00-36+0800__CAM_FRONT__1533280309912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_LEFT__1533280309904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_RIGHT__1533280309920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-03-15-00-36+0800__CAM_BACK__1533280309937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-03-15-00-36+0800__CAM_BACK_LEFT__1533280309947428.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_BACK_RIGHT__1533280309927893.jpg"
    }
  },
  {
    "scene_token": "10dfdae842b543938a230f25a1e9f934",
    "frame_token": "2e3ff2906bc94da5943ac308568a88e1",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant conditions? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly notice that black sedan at front camera. The object is turning right, so the ego vehicle should decelerate gradually until it comes to a stop. Secondly notice that red car at right camera. The object is stationary, so the ego vehicle should decelerate gradually until it comes to a stop. Thirdly notice that silver sedan at left camera. The object is stationary, so the ego vehicle should decelerate gradually until it comes to a stop.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-03-15-00-36+0800__CAM_FRONT__1533280309912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_LEFT__1533280309904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_RIGHT__1533280309920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-03-15-00-36+0800__CAM_BACK__1533280309937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-03-15-00-36+0800__CAM_BACK_LEFT__1533280309947428.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_BACK_RIGHT__1533280309927893.jpg"
    }
  },
  {
    "scene_token": "10dfdae842b543938a230f25a1e9f934",
    "frame_token": "2e3ff2906bc94da5943ac308568a88e1",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT_LEFT,0.5312,0.5686> under colorquant conditions? Why take this action and what's the probability?",
    "answer": "The action is to brake gently to a stop because there is no safety issue. The probability of this action is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-03-15-00-36+0800__CAM_FRONT__1533280309912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_LEFT__1533280309904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_RIGHT__1533280309920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-03-15-00-36+0800__CAM_BACK__1533280309937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-03-15-00-36+0800__CAM_BACK_LEFT__1533280309947428.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_BACK_RIGHT__1533280309927893.jpg"
    }
  },
  {
    "scene_token": "10dfdae842b543938a230f25a1e9f934",
    "frame_token": "2e3ff2906bc94da5943ac308568a88e1",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant conditions, what are safe actions to take for the ego vehicle?",
    "answer": "Brake gently to a stop or continue at the same speed.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-03-15-00-36+0800__CAM_FRONT__1533280309912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_LEFT__1533280309904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_RIGHT__1533280309920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-03-15-00-36+0800__CAM_BACK__1533280309937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-03-15-00-36+0800__CAM_BACK_LEFT__1533280309947428.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_BACK_RIGHT__1533280309927893.jpg"
    }
  },
  {
    "scene_token": "10dfdae842b543938a230f25a1e9f934",
    "frame_token": "2e3ff2906bc94da5943ac308568a88e1",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant conditions. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, which alters the color representation of the scene. Despite this, key objects are identifiable: a silver sedan is stationary at the front left (coordinates <c1,CAM_FRONT_LEFT,0.5312,0.5686>), a black sedan is moving and turning right in front of the ego vehicle (coordinates <c2,CAM_FRONT,0.5261,0.6639>), and a red car is stationary at the front right (coordinates <c3,CAM_FRONT_RIGHT,0.2531,0.7898>). The scene includes parked vehicles and a building in the background, with altered colors due to the corruption.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-03-15-00-36+0800__CAM_FRONT__1533280309912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_LEFT__1533280309904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_RIGHT__1533280309920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-03-15-00-36+0800__CAM_BACK__1533280309937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-03-15-00-36+0800__CAM_BACK_LEFT__1533280309947428.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_BACK_RIGHT__1533280309927893.jpg"
    }
  },
  {
    "scene_token": "242ac1b59fec4e0c9c200ffca81775e2",
    "frame_token": "d1128584076d4fa2bd256d3584340018",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Snow. B. Color quant. C. Saturate. D. Dark",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193266412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193266404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193266420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193266437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193266447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193266427893.jpg"
    }
  },
  {
    "scene_token": "242ac1b59fec4e0c9c200ffca81775e2",
    "frame_token": "d1128584076d4fa2bd256d3584340018",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene considering the colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is an orange-red bus to the front of the ego vehicle, a pedestrian wearing a green shirt to the front left of the ego vehicle, and a black small car to the front right of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.2323,0.4722>, <c2,CAM_FRONT_LEFT,0.3047,0.7028>, and <c3,CAM_FRONT_RIGHT,0.5849,0.5852>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193266412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193266404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193266420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193266437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193266447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193266427893.jpg"
    }
  },
  {
    "scene_token": "242ac1b59fec4e0c9c200ffca81775e2",
    "frame_token": "d1128584076d4fa2bd256d3584340018",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.2323,0.4722> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "A, Explanation: The object is an orange-red bus, and despite the colorquant corruption, it is turning left.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193266412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193266404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193266420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193266437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193266447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193266427893.jpg"
    }
  },
  {
    "scene_token": "242ac1b59fec4e0c9c200ffca81775e2",
    "frame_token": "d1128584076d4fa2bd256d3584340018",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant corruption? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice pedestrian wearing a green shirt at left camera. It is going ahead, so the ego vehicle should turn left. Secondly, notice orange-red bus at front camera. It is turning left, so the ego vehicle should turn left. Thirdly, notice black small car at right camera. It is turning left, so the ego vehicle should turn left.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193266412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193266404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193266420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193266437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193266447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193266427893.jpg"
    }
  },
  {
    "scene_token": "242ac1b59fec4e0c9c200ffca81775e2",
    "frame_token": "d1128584076d4fa2bd256d3584340018",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.2323,0.4722> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is an orange-red bus, not a traffic sign or road barrier, even under colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193266412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193266404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193266420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193266437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193266447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193266427893.jpg"
    }
  },
  {
    "scene_token": "242ac1b59fec4e0c9c200ffca81775e2",
    "frame_token": "d1128584076d4fa2bd256d3584340018",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.2323,0.4722> considering colorquant corruption?",
    "answer": "Accelerating and going straight can lead to a collision with <c1,CAM_FRONT,0.2323,0.4722>.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193266412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193266404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193266420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193266437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193266447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193266427893.jpg"
    }
  },
  {
    "scene_token": "242ac1b59fec4e0c9c200ffca81775e2",
    "frame_token": "d1128584076d4fa2bd256d3584340018",
    "question_type": "robust_qas",
    "question": "In this scenario with colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Turn left, decelerate gradually without braking, and continue at the same speed.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193266412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193266404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193266420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193266437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193266447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193266427893.jpg"
    }
  },
  {
    "scene_token": "242ac1b59fec4e0c9c200ffca81775e2",
    "frame_token": "d1128584076d4fa2bd256d3584340018",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, making it challenging to perceive colors accurately. An orange-red bus is moving in front of the ego vehicle at coordinates <c1,CAM_FRONT,0.2323,0.4722>. A pedestrian wearing a green shirt is moving to the front left at <c2,CAM_FRONT_LEFT,0.3047,0.7028>. A black small car is moving to the front right at <c3,CAM_FRONT_RIGHT,0.5849,0.5852>. The scene is dimly lit, with streetlights and building lights providing minimal illumination.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193266412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193266404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193266420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193266437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193266447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193266427893.jpg"
    }
  },
  {
    "scene_token": "9e7d5adad1514dd79292e9318b7a443c",
    "frame_token": "71eb8dbcd81c4844b81e4e40d7c3a017",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Motion blur. B. Color quant. C. Sensor failure. D. Saturate",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708377012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708377004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708377020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708377037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708377047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708377028113.jpg"
    }
  },
  {
    "scene_token": "9e7d5adad1514dd79292e9318b7a443c",
    "frame_token": "71eb8dbcd81c4844b81e4e40d7c3a017",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene considering the colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a gray sedan to the front of the ego vehicle, a gray-green sedan to the back left of the ego vehicle, a man wearing khaki pants to the front right of the ego vehicle, a light gray sedan to the back of the ego vehicle, and a red light to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.2984,0.5991>, <c2,CAM_BACK_LEFT,0.3016,0.7287>, <c3,CAM_FRONT_RIGHT,0.0000,0.7278>, <c4,CAM_BACK,0.4797,0.7297>, and <c5,CAM_FRONT,0.6315,0.4329>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708377012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708377004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708377020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708377037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708377047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708377028113.jpg"
    }
  },
  {
    "scene_token": "9e7d5adad1514dd79292e9318b7a443c",
    "frame_token": "71eb8dbcd81c4844b81e4e40d7c3a017",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.2984,0.5991> under colorquant corruption? Please select the correct answer from the following options: A. Turn right. B. Going ahead. C. Turn left.",
    "answer": "C, Explanation: The object is a gray sedan, and despite the colorquant corruption, it is still moving in the same direction.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708377012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708377004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708377020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708377037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708377047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708377028113.jpg"
    }
  },
  {
    "scene_token": "9e7d5adad1514dd79292e9318b7a443c",
    "frame_token": "71eb8dbcd81c4844b81e4e40d7c3a017",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.2984,0.5991> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a gray sedan, not a traffic sign or road barrier, even with the colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708377012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708377004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708377020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708377037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708377047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708377028113.jpg"
    }
  },
  {
    "scene_token": "9e7d5adad1514dd79292e9318b7a443c",
    "frame_token": "71eb8dbcd81c4844b81e4e40d7c3a017",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.2984,0.5991> considering the colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep stationary, the reason is to follow the traffic rules, high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708377012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708377004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708377020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708377037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708377047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708377028113.jpg"
    }
  },
  {
    "scene_token": "9e7d5adad1514dd79292e9318b7a443c",
    "frame_token": "71eb8dbcd81c4844b81e4e40d7c3a017",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c2,CAM_BACK_LEFT,0.3016,0.7287> under colorquant corruption?",
    "answer": "Sharp left turn.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708377012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708377004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708377020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708377037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708377047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708377028113.jpg"
    }
  },
  {
    "scene_token": "9e7d5adad1514dd79292e9318b7a443c",
    "frame_token": "71eb8dbcd81c4844b81e4e40d7c3a017",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is heavily affected by colorquant corruption, making colors appear distorted and less distinct. In the front view, a gray sedan is moving ahead, positioned at coordinates <c1,CAM_FRONT,0.2984,0.5991>. To the back left, a stationary gray-green sedan is visible at <c2,CAM_BACK_LEFT,0.3016,0.7287>. A pedestrian, a man wearing khaki pants, is moving to the front right at <c3,CAM_FRONT_RIGHT,0.0000,0.7278>. Behind, a light gray sedan is stationary at <c4,CAM_BACK,0.4797,0.7297>. A red light is visible in the front view at <c5,CAM_FRONT,0.6315,0.4329>, indicating the need for the ego vehicle to remain stationary.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708377012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708377004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708377020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708377037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708377047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708377028113.jpg"
    }
  },
  {
    "scene_token": "fd2d419d4cf84a2d84922b9b7d2cea4d",
    "frame_token": "3c8a9403f85d4620abc3a64e0a235c7b",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Bright. C. H256 ABR compression. D. Zoom blur",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-56-46-0400__CAM_FRONT__1535731384762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-56-46-0400__CAM_FRONT_LEFT__1535731384754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-56-46-0400__CAM_FRONT_RIGHT__1535731384770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-56-46-0400__CAM_BACK__1535731384787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-56-46-0400__CAM_BACK_LEFT__1535731384797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-56-46-0400__CAM_BACK_RIGHT__1535731384778113.jpg"
    }
  },
  {
    "scene_token": "fd2d419d4cf84a2d84922b9b7d2cea4d",
    "frame_token": "3c8a9403f85d4620abc3a64e0a235c7b",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under color quantization corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a person in a gray shirt to the back of the ego vehicle, a silver sedan to the front of the ego vehicle, a white sedan to the back of the ego vehicle, a black sedan to the back of the ego vehicle, and a white SUV to the front left of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.0477,0.6563>, <c2,CAM_FRONT,0.3266,0.6269>, <c3,CAM_BACK,0.7599,0.6361>, <c4,CAM_BACK,0.5114,0.6564>, and <c5,CAM_FRONT_LEFT,0.2415,0.6039>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-56-46-0400__CAM_FRONT__1535731384762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-56-46-0400__CAM_FRONT_LEFT__1535731384754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-56-46-0400__CAM_FRONT_RIGHT__1535731384770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-56-46-0400__CAM_BACK__1535731384787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-56-46-0400__CAM_BACK_LEFT__1535731384797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-56-46-0400__CAM_BACK_RIGHT__1535731384778113.jpg"
    }
  },
  {
    "scene_token": "fd2d419d4cf84a2d84922b9b7d2cea4d",
    "frame_token": "3c8a9403f85d4620abc3a64e0a235c7b",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_FRONT,0.3266,0.6269> under color quantization corruption? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "A, Explanation: The object is a silver sedan moving ahead, unaffected by the color quantization.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-56-46-0400__CAM_FRONT__1535731384762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-56-46-0400__CAM_FRONT_LEFT__1535731384754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-56-46-0400__CAM_FRONT_RIGHT__1535731384770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-56-46-0400__CAM_BACK__1535731384787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-56-46-0400__CAM_BACK_LEFT__1535731384797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-56-46-0400__CAM_BACK_RIGHT__1535731384778113.jpg"
    }
  },
  {
    "scene_token": "fd2d419d4cf84a2d84922b9b7d2cea4d",
    "frame_token": "3c8a9403f85d4620abc3a64e0a235c7b",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.0477,0.6563> a traffic sign or a road barrier under color quantization corruption?",
    "answer": "No, Explanation: The object is a stationary pedestrian, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-56-46-0400__CAM_FRONT__1535731384762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-56-46-0400__CAM_FRONT_LEFT__1535731384754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-56-46-0400__CAM_FRONT_RIGHT__1535731384770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-56-46-0400__CAM_BACK__1535731384787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-56-46-0400__CAM_BACK_LEFT__1535731384797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-56-46-0400__CAM_BACK_RIGHT__1535731384778113.jpg"
    }
  },
  {
    "scene_token": "fd2d419d4cf84a2d84922b9b7d2cea4d",
    "frame_token": "3c8a9403f85d4620abc3a64e0a235c7b",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK,0.0477,0.6563> under color quantization corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue, with a high probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-56-46-0400__CAM_FRONT__1535731384762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-56-46-0400__CAM_FRONT_LEFT__1535731384754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-56-46-0400__CAM_FRONT_RIGHT__1535731384770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-56-46-0400__CAM_BACK__1535731384787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-56-46-0400__CAM_BACK_LEFT__1535731384797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-56-46-0400__CAM_BACK_RIGHT__1535731384778113.jpg"
    }
  },
  {
    "scene_token": "fd2d419d4cf84a2d84922b9b7d2cea4d",
    "frame_token": "3c8a9403f85d4620abc3a64e0a235c7b",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c2,CAM_FRONT,0.3266,0.6269> under color quantization corruption?",
    "answer": "Moderate left turn.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-56-46-0400__CAM_FRONT__1535731384762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-56-46-0400__CAM_FRONT_LEFT__1535731384754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-56-46-0400__CAM_FRONT_RIGHT__1535731384770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-56-46-0400__CAM_BACK__1535731384787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-56-46-0400__CAM_BACK_LEFT__1535731384797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-56-46-0400__CAM_BACK_RIGHT__1535731384778113.jpg"
    }
  },
  {
    "scene_token": "fd2d419d4cf84a2d84922b9b7d2cea4d",
    "frame_token": "3c8a9403f85d4620abc3a64e0a235c7b",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by color quantization, leading to reduced color detail and contrast. To the back of the ego vehicle, there is a stationary pedestrian in a gray shirt at coordinates <c1,CAM_BACK,0.0477,0.6563>. A silver sedan is moving ahead in front of the ego vehicle at <c2,CAM_FRONT,0.3266,0.6269>. Behind the ego vehicle, a white sedan is moving at <c3,CAM_BACK,0.7599,0.6361> and a black sedan at <c4,CAM_BACK,0.5114,0.6564>. A white SUV is moving to the front left at <c5,CAM_FRONT_LEFT,0.2415,0.6039>. The overall visibility is compromised, but key objects are still identifiable.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-56-46-0400__CAM_FRONT__1535731384762404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-56-46-0400__CAM_FRONT_LEFT__1535731384754799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-56-46-0400__CAM_FRONT_RIGHT__1535731384770482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-56-46-0400__CAM_BACK__1535731384787558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-56-46-0400__CAM_BACK_LEFT__1535731384797405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-56-46-0400__CAM_BACK_RIGHT__1535731384778113.jpg"
    }
  },
  {
    "scene_token": "e71f69d57d944b6cb0ffc516a88b6104",
    "frame_token": "6bfbe35d2a46497e8acd48b21be72f06",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Snow. B. Color quant. C. Bright. D. Motion blur",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193172412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193172404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193172420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193172437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193172447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193172427893.jpg"
    }
  },
  {
    "scene_token": "e71f69d57d944b6cb0ffc516a88b6104",
    "frame_token": "6bfbe35d2a46497e8acd48b21be72f06",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white SUV to the back right of the ego vehicle, an unknown object to the back of the ego vehicle, and an object unable to be confirmed to the back of the ego vehicle. The IDs of these objects are <c1,CAM_BACK_RIGHT,0.2062,0.6269>, <c2,CAM_BACK,0.4224,0.5158>, and <c3,CAM_BACK,0.3073,0.5842>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193172412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193172404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193172420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193172437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193172447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193172427893.jpg"
    }
  },
  {
    "scene_token": "e71f69d57d944b6cb0ffc516a88b6104",
    "frame_token": "6bfbe35d2a46497e8acd48b21be72f06",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK_RIGHT,0.2062,0.6269> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Turn right. C. Going ahead.",
    "answer": "A, Explanation: The object is a white SUV, and it is turning left.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193172412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193172404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193172420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193172437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193172447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193172427893.jpg"
    }
  },
  {
    "scene_token": "e71f69d57d944b6cb0ffc516a88b6104",
    "frame_token": "6bfbe35d2a46497e8acd48b21be72f06",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant corruption? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice the white SUV at the right rear camera. The object is turning left, so the ego vehicle should continue ahead at the same speed. Secondly, notice the object unable to be confirmed at the back camera. The object is going ahead, so the ego vehicle should continue ahead at the same speed. Thirdly, notice the unknown object at the back camera. The object is stationary, so the ego vehicle should continue ahead at the same speed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193172412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193172404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193172420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193172437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193172447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193172427893.jpg"
    }
  },
  {
    "scene_token": "e71f69d57d944b6cb0ffc516a88b6104",
    "frame_token": "6bfbe35d2a46497e8acd48b21be72f06",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK_RIGHT,0.2062,0.6269> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a white SUV, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193172412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193172404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193172420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193172437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193172447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193172427893.jpg"
    }
  },
  {
    "scene_token": "e71f69d57d944b6cb0ffc516a88b6104",
    "frame_token": "6bfbe35d2a46497e8acd48b21be72f06",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK_RIGHT,0.2062,0.6269> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is to avoid a collision, which is high probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193172412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193172404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193172420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193172437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193172447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193172427893.jpg"
    }
  },
  {
    "scene_token": "e71f69d57d944b6cb0ffc516a88b6104",
    "frame_token": "6bfbe35d2a46497e8acd48b21be72f06",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, slightly offset to the left, and slightly offset to the right.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193172412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193172404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193172420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193172437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193172447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193172427893.jpg"
    }
  },
  {
    "scene_token": "e71f69d57d944b6cb0ffc516a88b6104",
    "frame_token": "6bfbe35d2a46497e8acd48b21be72f06",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is heavily affected by colorquant corruption, making it challenging to discern details. The scene includes a white SUV moving to the back right of the ego vehicle, located at coordinates <c1,CAM_BACK_RIGHT,0.2062,0.6269>. An unknown object is stationary at the back of the vehicle, positioned at <c2,CAM_BACK,0.4224,0.5158>. Another object, unable to be confirmed, is moving at the back, with coordinates <c3,CAM_BACK,0.3073,0.5842>. The overall visibility is reduced, requiring careful navigation.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193172412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193172404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193172420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193172437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193172447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193172427893.jpg"
    }
  },
  {
    "scene_token": "04061484361145f5ac6f90a5103b84a6",
    "frame_token": "1bd11478010c476da4dad2c10168f811",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Zoom blur. B. Fog. C. Color quant. D. Snow",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-15-10-21+0800__CAM_FRONT__1533107762912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_LEFT__1533107762904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_RIGHT__1533107762920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-15-10-21+0800__CAM_BACK__1533107762937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-15-10-21+0800__CAM_BACK_LEFT__1533107762947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_BACK_RIGHT__1533107762927893.jpg"
    }
  },
  {
    "scene_token": "04061484361145f5ac6f90a5103b84a6",
    "frame_token": "1bd11478010c476da4dad2c10168f811",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under color quantization corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a gray sedan to the front of the ego vehicle, a white sedan to the front of the ego vehicle, a white sedan to the back of the ego vehicle, a man with a red hat to the front left of the ego vehicle, and a green light to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.3428,0.6324>, <c2,CAM_FRONT,0.0479,0.5620>, <c3,CAM_BACK,0.5339,0.6519>, <c4,CAM_FRONT_LEFT,0.8521,0.5908>, and <c5,CAM_FRONT,0.9144,0.4198>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-15-10-21+0800__CAM_FRONT__1533107762912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_LEFT__1533107762904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_RIGHT__1533107762920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-15-10-21+0800__CAM_BACK__1533107762937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-15-10-21+0800__CAM_BACK_LEFT__1533107762947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_BACK_RIGHT__1533107762927893.jpg"
    }
  },
  {
    "scene_token": "04061484361145f5ac6f90a5103b84a6",
    "frame_token": "1bd11478010c476da4dad2c10168f811",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.3428,0.6324> under color quantization corruption? Please select the correct answer from the following options: A. Turn left. B. Turn right. C. Going ahead.",
    "answer": "A, Explanation: The object is a gray sedan moving under color quantization corruption, which may affect visibility.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-15-10-21+0800__CAM_FRONT__1533107762912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_LEFT__1533107762904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_RIGHT__1533107762920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-15-10-21+0800__CAM_BACK__1533107762937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-15-10-21+0800__CAM_BACK_LEFT__1533107762947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_BACK_RIGHT__1533107762927893.jpg"
    }
  },
  {
    "scene_token": "04061484361145f5ac6f90a5103b84a6",
    "frame_token": "1bd11478010c476da4dad2c10168f811",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.3428,0.6324> a traffic sign or a road barrier under color quantization corruption?",
    "answer": "No, Explanation: The object is a gray sedan, not a traffic sign or road barrier, even under color quantization corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-15-10-21+0800__CAM_FRONT__1533107762912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_LEFT__1533107762904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_RIGHT__1533107762920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-15-10-21+0800__CAM_BACK__1533107762937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-15-10-21+0800__CAM_BACK_LEFT__1533107762947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_BACK_RIGHT__1533107762927893.jpg"
    }
  },
  {
    "scene_token": "04061484361145f5ac6f90a5103b84a6",
    "frame_token": "1bd11478010c476da4dad2c10168f811",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.3428,0.6324> under color quantization corruption?",
    "answer": "Brake suddenly.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-15-10-21+0800__CAM_FRONT__1533107762912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_LEFT__1533107762904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_RIGHT__1533107762920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-15-10-21+0800__CAM_BACK__1533107762937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-15-10-21+0800__CAM_BACK_LEFT__1533107762947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_BACK_RIGHT__1533107762927893.jpg"
    }
  },
  {
    "scene_token": "04061484361145f5ac6f90a5103b84a6",
    "frame_token": "1bd11478010c476da4dad2c10168f811",
    "question_type": "robust_qas",
    "question": "In this scenario under color quantization corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Decelerate gradually without braking, turn left, turn right, slightly offset to the left, slightly offset to the right.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-15-10-21+0800__CAM_FRONT__1533107762912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_LEFT__1533107762904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_RIGHT__1533107762920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-15-10-21+0800__CAM_BACK__1533107762937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-15-10-21+0800__CAM_BACK_LEFT__1533107762947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_BACK_RIGHT__1533107762927893.jpg"
    }
  },
  {
    "scene_token": "04061484361145f5ac6f90a5103b84a6",
    "frame_token": "1bd11478010c476da4dad2c10168f811",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by color quantization, causing reduced color detail and contrast. A gray sedan is moving in front of the ego vehicle at coordinates <c1,CAM_FRONT,0.3428,0.6324>. A stationary white sedan is also in front at <c2,CAM_FRONT,0.0479,0.5620>, while another white sedan is moving behind at <c3,CAM_BACK,0.5339,0.6519>. A pedestrian, a man with a red hat, is moving to the front left at <c4,CAM_FRONT_LEFT,0.8521,0.5908>. The traffic light ahead shows green at <c5,CAM_FRONT,0.9144,0.4198>. The environment is urban with buildings and trees, but the color quantization makes it challenging to distinguish finer details.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-15-10-21+0800__CAM_FRONT__1533107762912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_LEFT__1533107762904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_RIGHT__1533107762920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-15-10-21+0800__CAM_BACK__1533107762937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-15-10-21+0800__CAM_BACK_LEFT__1533107762947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_BACK_RIGHT__1533107762927893.jpg"
    }
  },
  {
    "scene_token": "04061484361145f5ac6f90a5103b84a6",
    "frame_token": "23f212b3c76f4daebe7516b317f59442",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Rain. C. Motion blur. D. Fog",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-15-10-21+0800__CAM_FRONT__1533107764412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_LEFT__1533107764404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_RIGHT__1533107764420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-15-10-21+0800__CAM_BACK__1533107764437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-15-10-21+0800__CAM_BACK_LEFT__1533107764447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_BACK_RIGHT__1533107764427893.jpg"
    }
  },
  {
    "scene_token": "04061484361145f5ac6f90a5103b84a6",
    "frame_token": "23f212b3c76f4daebe7516b317f59442",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene considering the colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a gray sedan car to the front of the ego vehicle, a white sedan car to the front left of the ego vehicle, a white sedan to the back of the ego vehicle, a worker wearing a yellow safety helmet to the front left of the ego vehicle, a green light to the front right of the ego vehicle, and a green light to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.3398,0.6278>, <c2,CAM_FRONT_LEFT,0.9563,0.5648>, <c3,CAM_BACK,0.5901,0.6539>, <c4,CAM_FRONT_LEFT,0.7651,0.5963>, <c5,CAM_FRONT_RIGHT,0.1835,0.4091>, and <c6,CAM_FRONT,0.7141,0.3758>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-15-10-21+0800__CAM_FRONT__1533107764412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_LEFT__1533107764404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_RIGHT__1533107764420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-15-10-21+0800__CAM_BACK__1533107764437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-15-10-21+0800__CAM_BACK_LEFT__1533107764447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_BACK_RIGHT__1533107764427893.jpg"
    }
  },
  {
    "scene_token": "04061484361145f5ac6f90a5103b84a6",
    "frame_token": "23f212b3c76f4daebe7516b317f59442",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.3398,0.6278> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "A, Explanation: The object is a gray sedan car and is moving ahead despite the colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-15-10-21+0800__CAM_FRONT__1533107764412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_LEFT__1533107764404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_RIGHT__1533107764420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-15-10-21+0800__CAM_BACK__1533107764437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-15-10-21+0800__CAM_BACK_LEFT__1533107764447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_BACK_RIGHT__1533107764427893.jpg"
    }
  },
  {
    "scene_token": "04061484361145f5ac6f90a5103b84a6",
    "frame_token": "23f212b3c76f4daebe7516b317f59442",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.3398,0.6278> a traffic sign or a road barrier under the colorquant corruption?",
    "answer": "No, Explanation: The object is a gray sedan car, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-15-10-21+0800__CAM_FRONT__1533107764412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_LEFT__1533107764404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_RIGHT__1533107764420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-15-10-21+0800__CAM_BACK__1533107764437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-15-10-21+0800__CAM_BACK_LEFT__1533107764447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_BACK_RIGHT__1533107764427893.jpg"
    }
  },
  {
    "scene_token": "04061484361145f5ac6f90a5103b84a6",
    "frame_token": "23f212b3c76f4daebe7516b317f59442",
    "question_type": "robust_qas",
    "question": "In this scenario with colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, slightly offset to the right, and slightly offset to the left.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-15-10-21+0800__CAM_FRONT__1533107764412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_LEFT__1533107764404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_RIGHT__1533107764420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-15-10-21+0800__CAM_BACK__1533107764437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-15-10-21+0800__CAM_BACK_LEFT__1533107764447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_BACK_RIGHT__1533107764427893.jpg"
    }
  },
  {
    "scene_token": "04061484361145f5ac6f90a5103b84a6",
    "frame_token": "23f212b3c76f4daebe7516b317f59442",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.3398,0.6278> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue, and the probability is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-15-10-21+0800__CAM_FRONT__1533107764412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_LEFT__1533107764404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_RIGHT__1533107764420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-15-10-21+0800__CAM_BACK__1533107764437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-15-10-21+0800__CAM_BACK_LEFT__1533107764447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_BACK_RIGHT__1533107764427893.jpg"
    }
  },
  {
    "scene_token": "04061484361145f5ac6f90a5103b84a6",
    "frame_token": "23f212b3c76f4daebe7516b317f59442",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, which alters the color perception of the scene. There is a gray sedan car moving ahead in front of the ego vehicle at coordinates <c1,CAM_FRONT,0.3398,0.6278>. To the front left, a white sedan car is stationary at <c2,CAM_FRONT_LEFT,0.9563,0.5648>. Behind the ego vehicle, another white sedan is moving at <c3,CAM_BACK,0.5901,0.6539>. A worker wearing a yellow safety helmet is moving to the front left at <c4,CAM_FRONT_LEFT,0.7651,0.5963>. Green lights are visible to the front right at <c5,CAM_FRONT_RIGHT,0.1835,0.4091> and directly in front at <c6,CAM_FRONT,0.7141,0.3758>. Despite the color distortion, the scene maintains its structural integrity.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-15-10-21+0800__CAM_FRONT__1533107764412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_LEFT__1533107764404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_FRONT_RIGHT__1533107764420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-15-10-21+0800__CAM_BACK__1533107764437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-15-10-21+0800__CAM_BACK_LEFT__1533107764447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-15-10-21+0800__CAM_BACK_RIGHT__1533107764427893.jpg"
    }
  },
  {
    "scene_token": "76b36918bd4c487581a4196ffd1b1434",
    "frame_token": "acbf365ee227415b9e6377da815edd41",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. JPEG compression. B. Saturate. C. Sensor failure. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537296993362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537296993354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537296993370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537296993387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537296993397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537296993378113.jpg"
    }
  },
  {
    "scene_token": "76b36918bd4c487581a4196ffd1b1434",
    "frame_token": "acbf365ee227415b9e6377da815edd41",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.7636,0.6019> under colorquant corruption? Please select the correct answer from the following options: A. Turn right. B. Turn left. C. Going ahead.",
    "answer": "B, Explanation: The object is a white sedan car moving left.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537296993362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537296993354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537296993370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537296993387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537296993397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537296993378113.jpg"
    }
  },
  {
    "scene_token": "76b36918bd4c487581a4196ffd1b1434",
    "frame_token": "acbf365ee227415b9e6377da815edd41",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white sedan car to the front of the ego vehicle, a white sedan to the back of the ego vehicle, a blue SUV to the front right of the ego vehicle, a black SUV to the front of the ego vehicle, a black pickup truck to the front left of the ego vehicle, and a red light to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.7636,0.6019>, <c2,CAM_BACK,0.1432,0.7111>, <c3,CAM_FRONT_RIGHT,0.5800,0.6640>, <c4,CAM_FRONT,0.5911,0.5537>, <c5,CAM_FRONT_LEFT,0.5479,0.7472>, and <c6,CAM_FRONT,0.6088,0.2931>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537296993362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537296993354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537296993370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537296993387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537296993397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537296993378113.jpg"
    }
  },
  {
    "scene_token": "76b36918bd4c487581a4196ffd1b1434",
    "frame_token": "acbf365ee227415b9e6377da815edd41",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.7636,0.6019> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a white sedan car, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537296993362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537296993354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537296993370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537296993387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537296993397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537296993378113.jpg"
    }
  },
  {
    "scene_token": "76b36918bd4c487581a4196ffd1b1434",
    "frame_token": "acbf365ee227415b9e6377da815edd41",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.7636,0.6019> under colorquant corruption?",
    "answer": "Accelerate and go straight.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537296993362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537296993354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537296993370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537296993387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537296993397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537296993378113.jpg"
    }
  },
  {
    "scene_token": "76b36918bd4c487581a4196ffd1b1434",
    "frame_token": "acbf365ee227415b9e6377da815edd41",
    "question_type": "robust_qas",
    "question": "In this scenario with colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Brake gently to a stop and brake suddenly.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537296993362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537296993354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537296993370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537296993387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537296993397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537296993378113.jpg"
    }
  },
  {
    "scene_token": "76b36918bd4c487581a4196ffd1b1434",
    "frame_token": "acbf365ee227415b9e6377da815edd41",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is an urban street scene with significant color distortion due to colorquant corruption. A white sedan car is moving ahead in front of the ego vehicle at coordinates (0.7636, 0.6019). Behind the ego vehicle, there is a stationary white sedan at (0.1432, 0.7111). To the front right, a blue SUV is stationary at (0.5800, 0.6640). Directly in front, a black SUV is moving at (0.5911, 0.5537), and a black pickup truck is moving to the front left at (0.5479, 0.7472). A red traffic light is visible at (0.6088, 0.2931). The colorquant corruption makes it challenging to perceive the true colors and details of these objects.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537296993362404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537296993354799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537296993370482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537296993387558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537296993397405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537296993378113.jpg"
    }
  },
  {
    "scene_token": "c075fbdd97124beaba95bc5c25149f30",
    "frame_token": "007cbcb1390c440fb48baf3478d1b529",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. JPEG compression. C. Bright. D. Fog",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-18-34+0800__CAM_FRONT__1531884538362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_LEFT__1531884538354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_RIGHT__1531884538370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-18-34+0800__CAM_BACK__1531884538387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-18-34+0800__CAM_BACK_LEFT__1531884538397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_BACK_RIGHT__1531884538377893.jpg"
    }
  },
  {
    "scene_token": "c075fbdd97124beaba95bc5c25149f30",
    "frame_token": "007cbcb1390c440fb48baf3478d1b529",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.4573,0.5769> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "A, Explanation: the object is moving and appears orange, indicating a left turn.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-18-34+0800__CAM_FRONT__1531884538362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_LEFT__1531884538354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_RIGHT__1531884538370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-18-34+0800__CAM_BACK__1531884538387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-18-34+0800__CAM_BACK_LEFT__1531884538397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_BACK_RIGHT__1531884538377893.jpg"
    }
  },
  {
    "scene_token": "c075fbdd97124beaba95bc5c25149f30",
    "frame_token": "007cbcb1390c440fb48baf3478d1b529",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is an orange to the front of the ego vehicle, a blue to the back of the ego vehicle, a purple to the front of the ego vehicle, a pink to the front left of the ego vehicle, and a brown to the back of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.4573,0.5769>, <c2,CAM_BACK,0.5792,0.5944>, <c3,CAM_FRONT,0.3636,0.5713>, <c4,CAM_FRONT_LEFT,0.9029,0.4947>, and <c5,CAM_BACK,0.8566,0.4954>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-18-34+0800__CAM_FRONT__1531884538362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_LEFT__1531884538354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_RIGHT__1531884538370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-18-34+0800__CAM_BACK__1531884538387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-18-34+0800__CAM_BACK_LEFT__1531884538397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_BACK_RIGHT__1531884538377893.jpg"
    }
  },
  {
    "scene_token": "c075fbdd97124beaba95bc5c25149f30",
    "frame_token": "007cbcb1390c440fb48baf3478d1b529",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.4573,0.5769> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: the object is not a traffic sign or road barrier; it is moving and appears orange.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-18-34+0800__CAM_FRONT__1531884538362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_LEFT__1531884538354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_RIGHT__1531884538370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-18-34+0800__CAM_BACK__1531884538387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-18-34+0800__CAM_BACK_LEFT__1531884538397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_BACK_RIGHT__1531884538377893.jpg"
    }
  },
  {
    "scene_token": "c075fbdd97124beaba95bc5c25149f30",
    "frame_token": "007cbcb1390c440fb48baf3478d1b529",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Change to the right lane, keep going at the same speed, decelerate gradually without braking, slightly offset to the right, and turn right.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-18-34+0800__CAM_FRONT__1531884538362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_LEFT__1531884538354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_RIGHT__1531884538370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-18-34+0800__CAM_BACK__1531884538387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-18-34+0800__CAM_BACK_LEFT__1531884538397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_BACK_RIGHT__1531884538377893.jpg"
    }
  },
  {
    "scene_token": "c075fbdd97124beaba95bc5c25149f30",
    "frame_token": "007cbcb1390c440fb48baf3478d1b529",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.4573,0.5769> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue, and the probability of this action is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-18-34+0800__CAM_FRONT__1531884538362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_LEFT__1531884538354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_RIGHT__1531884538370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-18-34+0800__CAM_BACK__1531884538387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-18-34+0800__CAM_BACK_LEFT__1531884538397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_BACK_RIGHT__1531884538377893.jpg"
    }
  },
  {
    "scene_token": "c075fbdd97124beaba95bc5c25149f30",
    "frame_token": "007cbcb1390c440fb48baf3478d1b529",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, which alters the color perception of objects. To the front of the ego vehicle, there is an orange object moving at coordinates (0.4573, 0.5769). Behind the vehicle, a blue object is moving at (0.5792, 0.5944). A stationary purple object is located at the front at (0.3636, 0.5713). To the front left, a stationary pink object is positioned at (0.9029, 0.4947). Finally, a moving brown object is at the back at (0.8566, 0.4954). The scene is visually challenging due to the colorquant effect, making object identification and decision-making more complex.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-18-34+0800__CAM_FRONT__1531884538362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_LEFT__1531884538354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_FRONT_RIGHT__1531884538370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-18-34+0800__CAM_BACK__1531884538387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-18-34+0800__CAM_BACK_LEFT__1531884538397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-18-34+0800__CAM_BACK_RIGHT__1531884538377893.jpg"
    }
  },
  {
    "scene_token": "b0b26c1e5a1140e69598422f12ae1dc0",
    "frame_token": "e256cf1605074ced9afc24d78efd5449",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Motion blur. B. Sensor failure. C. Rain. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-01-15-52-19-0400__CAM_FRONT__1533153459862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_LEFT__1533153459854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_RIGHT__1533153459870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-01-15-52-19-0400__CAM_BACK__1533153459887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-01-15-52-19-0400__CAM_BACK_LEFT__1533153459897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_BACK_RIGHT__1533153459878113.jpg"
    }
  },
  {
    "scene_token": "b0b26c1e5a1140e69598422f12ae1dc0",
    "frame_token": "e256cf1605074ced9afc24d78efd5449",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.4651,0.5120> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "A, Explanation: The object is a white truck moving ahead, and the colorquant corruption does not alter its movement.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-01-15-52-19-0400__CAM_FRONT__1533153459862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_LEFT__1533153459854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_RIGHT__1533153459870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-01-15-52-19-0400__CAM_BACK__1533153459887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-01-15-52-19-0400__CAM_BACK_LEFT__1533153459897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_BACK_RIGHT__1533153459878113.jpg"
    }
  },
  {
    "scene_token": "b0b26c1e5a1140e69598422f12ae1dc0",
    "frame_token": "e256cf1605074ced9afc24d78efd5449",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white truck to the front of the ego vehicle, an orange truck to the back of the ego vehicle, a red truck to the back of the ego vehicle, a white SUV to the back of the ego vehicle, and a black sedan to the front right of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.4651,0.5120>, <c2,CAM_BACK,0.5958,0.5306>, <c3,CAM_BACK,0.5261,0.5333>, <c4,CAM_BACK,0.4948,0.5436>, and <c5,CAM_FRONT_RIGHT,0.1729,0.6352>. The colorquant corruption affects the visual clarity but not the positions or categories.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-01-15-52-19-0400__CAM_FRONT__1533153459862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_LEFT__1533153459854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_RIGHT__1533153459870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-01-15-52-19-0400__CAM_BACK__1533153459887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-01-15-52-19-0400__CAM_BACK_LEFT__1533153459897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_BACK_RIGHT__1533153459878113.jpg"
    }
  },
  {
    "scene_token": "b0b26c1e5a1140e69598422f12ae1dc0",
    "frame_token": "e256cf1605074ced9afc24d78efd5449",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.4651,0.5120> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a white truck, and the colorquant corruption does not change its classification.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-01-15-52-19-0400__CAM_FRONT__1533153459862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_LEFT__1533153459854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_RIGHT__1533153459870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-01-15-52-19-0400__CAM_BACK__1533153459887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-01-15-52-19-0400__CAM_BACK_LEFT__1533153459897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_BACK_RIGHT__1533153459878113.jpg"
    }
  },
  {
    "scene_token": "b0b26c1e5a1140e69598422f12ae1dc0",
    "frame_token": "e256cf1605074ced9afc24d78efd5449",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.4651,0.5120> under colorquant corruption?",
    "answer": "Accelerate and go straight. The colorquant corruption does not affect the potential collision path.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-01-15-52-19-0400__CAM_FRONT__1533153459862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_LEFT__1533153459854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_RIGHT__1533153459870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-01-15-52-19-0400__CAM_BACK__1533153459887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-01-15-52-19-0400__CAM_BACK_LEFT__1533153459897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_BACK_RIGHT__1533153459878113.jpg"
    }
  },
  {
    "scene_token": "b0b26c1e5a1140e69598422f12ae1dc0",
    "frame_token": "e256cf1605074ced9afc24d78efd5449",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, decelerate gradually without braking. The colorquant corruption does not change the recommended actions.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-01-15-52-19-0400__CAM_FRONT__1533153459862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_LEFT__1533153459854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_RIGHT__1533153459870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-01-15-52-19-0400__CAM_BACK__1533153459887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-01-15-52-19-0400__CAM_BACK_LEFT__1533153459897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_BACK_RIGHT__1533153459878113.jpg"
    }
  },
  {
    "scene_token": "b0b26c1e5a1140e69598422f12ae1dc0",
    "frame_token": "e256cf1605074ced9afc24d78efd5449",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, which alters the color clarity of the scene. Despite this, the key objects remain identifiable: a white truck is moving ahead at coordinates <c1,CAM_FRONT,0.4651,0.5120>, an orange truck is moving behind at <c2,CAM_BACK,0.5958,0.5306>, and a red truck is also moving behind at <c3,CAM_BACK,0.5261,0.5333>. A stationary white SUV is located at <c4,CAM_BACK,0.4948,0.5436>, and a black sedan is stationary to the front right at <c5,CAM_FRONT_RIGHT,0.1729,0.6352>. The scene includes urban elements like buildings and roads, though their colors are distorted.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-01-15-52-19-0400__CAM_FRONT__1533153459862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_LEFT__1533153459854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_FRONT_RIGHT__1533153459870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-01-15-52-19-0400__CAM_BACK__1533153459887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-01-15-52-19-0400__CAM_BACK_LEFT__1533153459897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-01-15-52-19-0400__CAM_BACK_RIGHT__1533153459878113.jpg"
    }
  },
  {
    "scene_token": "773e6b4f990f4044bed5ea7036ea7c3b",
    "frame_token": "f5a6ae68835e475b89d287144cf18057",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Sensor failure. C. Zoom blur. D. JPEG compression",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985594262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985594254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985594270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985594287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985594297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985594277893.jpg"
    }
  },
  {
    "scene_token": "773e6b4f990f4044bed5ea7036ea7c3b",
    "frame_token": "f5a6ae68835e475b89d287144cf18057",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.1626,0.7806> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Turn right. C. Going ahead.",
    "answer": "A, Explanation: The object is a black sedan moving under colorquant conditions, which may affect visibility.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985594262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985594254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985594270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985594287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985594297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985594277893.jpg"
    }
  },
  {
    "scene_token": "773e6b4f990f4044bed5ea7036ea7c3b",
    "frame_token": "f5a6ae68835e475b89d287144cf18057",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black sedan to the back of the ego vehicle, a man in a green shirt to the front left of the ego vehicle, a black SUV to the back of the ego vehicle, and a black sedan to the front of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.1626,0.7806>, <c2,CAM_FRONT_LEFT,0.6646,0.5009>, <c3,CAM_BACK,0.5766,0.6564>, and <c4,CAM_FRONT,0.5729,0.5917>. The colorquant corruption may obscure some details.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985594262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985594254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985594270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985594287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985594297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985594277893.jpg"
    }
  },
  {
    "scene_token": "773e6b4f990f4044bed5ea7036ea7c3b",
    "frame_token": "f5a6ae68835e475b89d287144cf18057",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.1626,0.7806> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a black sedan, not a traffic sign or road barrier, even under colorquant conditions.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985594262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985594254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985594270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985594287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985594297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985594277893.jpg"
    }
  },
  {
    "scene_token": "773e6b4f990f4044bed5ea7036ea7c3b",
    "frame_token": "f5a6ae68835e475b89d287144cf18057",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, decelerate gradually without braking. The colorquant corruption may affect visibility, so maintaining a steady speed is crucial.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985594262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985594254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985594270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985594287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985594297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985594277893.jpg"
    }
  },
  {
    "scene_token": "773e6b4f990f4044bed5ea7036ea7c3b",
    "frame_token": "f5a6ae68835e475b89d287144cf18057",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK,0.1626,0.7806> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is to maintain a safe distance, which is high. Colorquant conditions may obscure details, so caution is advised.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985594262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985594254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985594270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985594287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985594297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985594277893.jpg"
    }
  },
  {
    "scene_token": "773e6b4f990f4044bed5ea7036ea7c3b",
    "frame_token": "f5a6ae68835e475b89d287144cf18057",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, leading to reduced color fidelity and contrast. Key objects include a black sedan moving behind the ego vehicle at coordinates <c1,CAM_BACK,0.1626,0.7806>, a pedestrian in a green shirt moving to the front left at <c2,CAM_FRONT_LEFT,0.6646,0.5009>, a black SUV moving behind at <c3,CAM_BACK,0.5766,0.6564>, and another black sedan moving in front at <c4,CAM_FRONT,0.5729,0.5917>. The surroundings are dim, with trees and road elements less distinct due to the corruption.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985594262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985594254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985594270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985594287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985594297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985594277893.jpg"
    }
  },
  {
    "scene_token": "c7b8d96173bf41dc8df8c0d16adfc71e",
    "frame_token": "c221e48870e14532a876b0d01bab9f35",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Motion blur. B. Dark. C. Sensor failure. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985165612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985165604864.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985165620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985165637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985165647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985165627893.jpg"
    }
  },
  {
    "scene_token": "c7b8d96173bf41dc8df8c0d16adfc71e",
    "frame_token": "c221e48870e14532a876b0d01bab9f35",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene considering the colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a gray sedan to the back right of the ego vehicle, a green bus to the back of the ego vehicle, and a left turn landmark line to the front of the ego vehicle. The IDs of these objects are <c1,CAM_BACK_RIGHT,0.3547,0.7130>, <c2,CAM_BACK,0.1886,0.6361>, and <c3,CAM_FRONT,0.5000,0.9194>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985165612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985165604864.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985165620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985165637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985165647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985165627893.jpg"
    }
  },
  {
    "scene_token": "c7b8d96173bf41dc8df8c0d16adfc71e",
    "frame_token": "c221e48870e14532a876b0d01bab9f35",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_BACK,0.1886,0.6361> under the colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "A, Explanation: The object is a green bus, and despite the colorquant corruption, it is still turning left.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985165612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985165604864.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985165620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985165637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985165647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985165627893.jpg"
    }
  },
  {
    "scene_token": "c7b8d96173bf41dc8df8c0d16adfc71e",
    "frame_token": "c221e48870e14532a876b0d01bab9f35",
    "question_type": "robust_qas",
    "question": "Considering the colorquant corruption, what object should the ego vehicle notice first when the ego vehicle is getting to the next possible location? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice left turn landmark line at front camera. It is a traffic sign, so the ego vehicle should slow down and continue ahead. Secondly, notice gray sedan at right rear camera. It is stationary, so the ego vehicle should continue ahead at the same speed. Thirdly, notice green bus at back camera. It is turning left, so the ego vehicle should continue ahead at the same speed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985165612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985165604864.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985165620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985165637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985165647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985165627893.jpg"
    }
  },
  {
    "scene_token": "c7b8d96173bf41dc8df8c0d16adfc71e",
    "frame_token": "c221e48870e14532a876b0d01bab9f35",
    "question_type": "robust_qas",
    "question": "Under the colorquant corruption, is <c1,CAM_BACK_RIGHT,0.3547,0.7130> a traffic sign or a road barrier?",
    "answer": "No, Explanation: The object is a gray sedan, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985165612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985165604864.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985165620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985165637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985165647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985165627893.jpg"
    }
  },
  {
    "scene_token": "c7b8d96173bf41dc8df8c0d16adfc71e",
    "frame_token": "c221e48870e14532a876b0d01bab9f35",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c2,CAM_BACK,0.1886,0.6361> considering the colorquant corruption?",
    "answer": "Back up.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985165612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985165604864.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985165620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985165637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985165647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985165627893.jpg"
    }
  },
  {
    "scene_token": "c7b8d96173bf41dc8df8c0d16adfc71e",
    "frame_token": "c221e48870e14532a876b0d01bab9f35",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK_RIGHT,0.3547,0.7130> under the colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that the object has little reference value for the ego vehicle, high probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985165612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985165604864.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985165620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985165637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985165647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985165627893.jpg"
    }
  },
  {
    "scene_token": "c7b8d96173bf41dc8df8c0d16adfc71e",
    "frame_token": "c221e48870e14532a876b0d01bab9f35",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, which alters the color representation, making it challenging to distinguish objects. To the back right of the ego vehicle, there is a stationary gray sedan (<c1,CAM_BACK_RIGHT,0.3547,0.7130>). Directly behind, a green bus is moving and turning left (<c2,CAM_BACK,0.1886,0.6361>). In front, a left turn landmark line is visible (<c3,CAM_FRONT,0.5000,0.9194>). Despite the color distortion, these objects remain identifiable by their shapes and positions.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985165612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985165604864.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985165620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985165637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985165647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985165627893.jpg"
    }
  },
  {
    "scene_token": "22daa579e9d54040b3f76a4eeef3a587",
    "frame_token": "ffef59aafdc441ae8ae760d946964a5c",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Saturate. B. Motion blur. C. Bit error. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708595662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708595654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708595671013.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708595687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708595697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708595678113.jpg"
    }
  },
  {
    "scene_token": "22daa579e9d54040b3f76a4eeef3a587",
    "frame_token": "ffef59aafdc441ae8ae760d946964a5c",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_FRONT_RIGHT,0.0261,0.5981> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "B, Explanation: The object is a red small car and it is turning left.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708595662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708595654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708595671013.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708595687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708595697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708595678113.jpg"
    }
  },
  {
    "scene_token": "22daa579e9d54040b3f76a4eeef3a587",
    "frame_token": "ffef59aafdc441ae8ae760d946964a5c",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white small car to the front of the ego vehicle, a red small car to the front right of the ego vehicle, and a red light to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.6739,0.5750>, <c2,CAM_FRONT_RIGHT,0.0261,0.5981>, and <c3,CAM_FRONT,0.5239,0.3076>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708595662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708595654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708595671013.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708595687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708595697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708595678113.jpg"
    }
  },
  {
    "scene_token": "22daa579e9d54040b3f76a4eeef3a587",
    "frame_token": "ffef59aafdc441ae8ae760d946964a5c",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant corruption? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice that red light at front camera. The object is a traffic sign and the ego vehicle should stop. Secondly, notice that white small car at front camera. The object is stationary and the ego vehicle should stop. Thirdly, notice that red small car at right camera. The object is turning left and the ego vehicle should stop.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708595662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708595654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708595671013.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708595687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708595697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708595678113.jpg"
    }
  },
  {
    "scene_token": "22daa579e9d54040b3f76a4eeef3a587",
    "frame_token": "ffef59aafdc441ae8ae760d946964a5c",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.6739,0.5750> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a white small car and not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708595662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708595654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708595671013.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708595687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708595697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708595678113.jpg"
    }
  },
  {
    "scene_token": "22daa579e9d54040b3f76a4eeef3a587",
    "frame_token": "ffef59aafdc441ae8ae760d946964a5c",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.6739,0.5750> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to remain stationary. The reason for this action is to follow traffic rules. The probability of this action is low.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708595662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708595654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708595671013.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708595687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708595697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708595678113.jpg"
    }
  },
  {
    "scene_token": "22daa579e9d54040b3f76a4eeef3a587",
    "frame_token": "ffef59aafdc441ae8ae760d946964a5c",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.6739,0.5750> under colorquant corruption?",
    "answer": "Slight right turn.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708595662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708595654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708595671013.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708595687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708595697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708595678113.jpg"
    }
  },
  {
    "scene_token": "22daa579e9d54040b3f76a4eeef3a587",
    "frame_token": "ffef59aafdc441ae8ae760d946964a5c",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, making colors appear reduced and less distinct. The ego vehicle is positioned at an intersection with a white small car directly in front, identified at coordinates <c1,CAM_FRONT,0.6739,0.5750>. To the front right, a red small car is turning left, located at <c2,CAM_FRONT_RIGHT,0.0261,0.5981>. A red traffic light is visible ahead at <c3,CAM_FRONT,0.5239,0.3076>, indicating that the ego vehicle should stop. The surrounding buildings and road markings are less clear due to the color quantization effect.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708595662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708595654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708595671013.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708595687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708595697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708595678113.jpg"
    }
  },
  {
    "scene_token": "87a71839e68b46da8e91fb5f21b50c1c",
    "frame_token": "d09b0b7070c54ec6ab0554fa10268ed8",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Saturate. B. Color quant. C. Motion blur. D. Zoom blur",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708062612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708062604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708062620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708062637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708062647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708062628113.jpg"
    }
  },
  {
    "scene_token": "87a71839e68b46da8e91fb5f21b50c1c",
    "frame_token": "d09b0b7070c54ec6ab0554fa10268ed8",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under color quantization corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black SUV to the back of the ego vehicle, a white sedan to the front of the ego vehicle, a gray sedan to the front of the ego vehicle, a black sedan car to the front of the ego vehicle, and a traffic light to the front of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.5839,0.7259>, <c2,CAM_FRONT,0.4651,0.5658>, <c3,CAM_FRONT,0.0875,0.7620>, <c4,CAM_FRONT,0.6292,0.5556>, and <c5,CAM_FRONT,0.4743,0.3944>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708062612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708062604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708062620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708062637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708062647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708062628113.jpg"
    }
  },
  {
    "scene_token": "87a71839e68b46da8e91fb5f21b50c1c",
    "frame_token": "d09b0b7070c54ec6ab0554fa10268ed8",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_FRONT,0.4651,0.5658> under color quantization corruption? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "A, Explanation: The object is a white sedan moving ahead.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708062612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708062604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708062620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708062637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708062647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708062628113.jpg"
    }
  },
  {
    "scene_token": "87a71839e68b46da8e91fb5f21b50c1c",
    "frame_token": "d09b0b7070c54ec6ab0554fa10268ed8",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.5839,0.7259> a traffic sign or a road barrier under color quantization corruption?",
    "answer": "No, Explanation: The object is a black SUV, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708062612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708062604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708062620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708062637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708062647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708062628113.jpg"
    }
  },
  {
    "scene_token": "87a71839e68b46da8e91fb5f21b50c1c",
    "frame_token": "d09b0b7070c54ec6ab0554fa10268ed8",
    "question_type": "robust_qas",
    "question": "In this scenario under color quantization corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, and brake gently to a stop.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708062612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708062604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708062620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708062637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708062647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708062628113.jpg"
    }
  },
  {
    "scene_token": "87a71839e68b46da8e91fb5f21b50c1c",
    "frame_token": "d09b0b7070c54ec6ab0554fa10268ed8",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle under color quantization corruption can lead to a collision with <c1,CAM_BACK,0.5839,0.7259>?",
    "answer": "Back up.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708062612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708062604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708062620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708062637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708062647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708062628113.jpg"
    }
  },
  {
    "scene_token": "87a71839e68b46da8e91fb5f21b50c1c",
    "frame_token": "d09b0b7070c54ec6ab0554fa10268ed8",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by color quantization, causing reduced color detail and contrast. A black SUV is stationary behind the ego vehicle at coordinates (0.5839, 0.7259). In front, a white sedan is moving at (0.4651, 0.5658), and a gray sedan is stationary at (0.0875, 0.7620). Another black sedan is moving at (0.6292, 0.5556). A traffic light is visible at (0.4743, 0.3944). The scene includes urban elements like buildings and roads, but the color quantization makes it challenging to discern finer details.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708062612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708062604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708062620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708062637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708062647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708062628113.jpg"
    }
  },
  {
    "scene_token": "73030fb67d3c46cfb5e590168088ae39",
    "frame_token": "8de7ec06e1ac48c689c4d24d6cc64fd7",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Snow. C. Sensor failure. D. H256 ABR compression",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-07-57+0800__CAM_FRONT__1531883531912467.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-07-57+0800__CAM_FRONT_LEFT__1531883531904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-07-57+0800__CAM_FRONT_RIGHT__1531883531920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-07-57+0800__CAM_BACK__1531883531937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-07-57+0800__CAM_BACK_LEFT__1531883531947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-07-57+0800__CAM_BACK_RIGHT__1531883531927893.jpg"
    }
  },
  {
    "scene_token": "73030fb67d3c46cfb5e590168088ae39",
    "frame_token": "8de7ec06e1ac48c689c4d24d6cc64fd7",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under color quantization corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a blue and white truck to the front of the ego vehicle, a black sedan to the back of the ego vehicle, a blue sedan to the back of the ego vehicle, and a black traffic light to the front right of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.5113,0.5570>, <c2,CAM_BACK,0.1958,0.5824>, <c3,CAM_BACK,0.5583,0.5926>, and <c4,CAM_FRONT_RIGHT,0.5034,0.5279>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-07-57+0800__CAM_FRONT__1531883531912467.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-07-57+0800__CAM_FRONT_LEFT__1531883531904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-07-57+0800__CAM_FRONT_RIGHT__1531883531920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-07-57+0800__CAM_BACK__1531883531937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-07-57+0800__CAM_BACK_LEFT__1531883531947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-07-57+0800__CAM_BACK_RIGHT__1531883531927893.jpg"
    }
  },
  {
    "scene_token": "73030fb67d3c46cfb5e590168088ae39",
    "frame_token": "8de7ec06e1ac48c689c4d24d6cc64fd7",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_BACK,0.1958,0.5824> under color quantization corruption? Please select the correct answer from the following options: A. Turn right. B. Going ahead. C. Turn left.",
    "answer": "A, Explanation: The object is a black sedan moving in the direction of turning right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-07-57+0800__CAM_FRONT__1531883531912467.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-07-57+0800__CAM_FRONT_LEFT__1531883531904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-07-57+0800__CAM_FRONT_RIGHT__1531883531920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-07-57+0800__CAM_BACK__1531883531937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-07-57+0800__CAM_BACK_LEFT__1531883531947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-07-57+0800__CAM_BACK_RIGHT__1531883531927893.jpg"
    }
  },
  {
    "scene_token": "73030fb67d3c46cfb5e590168088ae39",
    "frame_token": "8de7ec06e1ac48c689c4d24d6cc64fd7",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.5113,0.5570> a traffic sign or a road barrier under color quantization corruption?",
    "answer": "No, Explanation: The object is a blue and white truck, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-07-57+0800__CAM_FRONT__1531883531912467.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-07-57+0800__CAM_FRONT_LEFT__1531883531904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-07-57+0800__CAM_FRONT_RIGHT__1531883531920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-07-57+0800__CAM_BACK__1531883531937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-07-57+0800__CAM_BACK_LEFT__1531883531947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-07-57+0800__CAM_BACK_RIGHT__1531883531927893.jpg"
    }
  },
  {
    "scene_token": "73030fb67d3c46cfb5e590168088ae39",
    "frame_token": "8de7ec06e1ac48c689c4d24d6cc64fd7",
    "question_type": "robust_qas",
    "question": "In this scenario under color quantization corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed and turn left.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-07-57+0800__CAM_FRONT__1531883531912467.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-07-57+0800__CAM_FRONT_LEFT__1531883531904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-07-57+0800__CAM_FRONT_RIGHT__1531883531920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-07-57+0800__CAM_BACK__1531883531937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-07-57+0800__CAM_BACK_LEFT__1531883531947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-07-57+0800__CAM_BACK_RIGHT__1531883531927893.jpg"
    }
  },
  {
    "scene_token": "73030fb67d3c46cfb5e590168088ae39",
    "frame_token": "8de7ec06e1ac48c689c4d24d6cc64fd7",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.5113,0.5570> under color quantization corruption?",
    "answer": "Sharp right turn.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-07-57+0800__CAM_FRONT__1531883531912467.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-07-57+0800__CAM_FRONT_LEFT__1531883531904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-07-57+0800__CAM_FRONT_RIGHT__1531883531920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-07-57+0800__CAM_BACK__1531883531937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-07-57+0800__CAM_BACK_LEFT__1531883531947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-07-57+0800__CAM_BACK_RIGHT__1531883531927893.jpg"
    }
  },
  {
    "scene_token": "73030fb67d3c46cfb5e590168088ae39",
    "frame_token": "8de7ec06e1ac48c689c4d24d6cc64fd7",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by color quantization, making it challenging to distinguish between objects due to reduced color detail. In the front view, there is a stationary blue and white truck located at coordinates (0.5113, 0.5570). Behind the ego vehicle, a black sedan is moving at coordinates (0.1958, 0.5824), and a blue sedan is also moving at coordinates (0.5583, 0.5926). To the front right, there is a black traffic light at coordinates (0.5034, 0.5279). Despite the color corruption, these objects are crucial for navigation and decision-making.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-18-11-07-57+0800__CAM_FRONT__1531883531912467.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-18-11-07-57+0800__CAM_FRONT_LEFT__1531883531904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-18-11-07-57+0800__CAM_FRONT_RIGHT__1531883531920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-18-11-07-57+0800__CAM_BACK__1531883531937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-18-11-07-57+0800__CAM_BACK_LEFT__1531883531947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-18-11-07-57+0800__CAM_BACK_RIGHT__1531883531927893.jpg"
    }
  },
  {
    "scene_token": "5c76a3728b8b4d02ae20bd69fb928aa1",
    "frame_token": "abfad6a00c194660abc85b9a1f215190",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Sensor failure. B. Motion blur. C. Color quant. D. Bright",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-53-31-0400__CAM_FRONT__1537290306912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_LEFT__1537290306904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_RIGHT__1537290306920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-53-31-0400__CAM_BACK__1537290306937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-53-31-0400__CAM_BACK_LEFT__1537290306947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_BACK_RIGHT__1537290306928113.jpg"
    }
  },
  {
    "scene_token": "5c76a3728b8b4d02ae20bd69fb928aa1",
    "frame_token": "abfad6a00c194660abc85b9a1f215190",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.4286,0.5528> under colorquant corruption? Please select the correct answer from the following options: A. Turn right. B. Turn left. C. Going ahead.",
    "answer": "A, Explanation: The object is a white truck moving to the right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-53-31-0400__CAM_FRONT__1537290306912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_LEFT__1537290306904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_RIGHT__1537290306920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-53-31-0400__CAM_BACK__1537290306937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-53-31-0400__CAM_BACK_LEFT__1537290306947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_BACK_RIGHT__1537290306928113.jpg"
    }
  },
  {
    "scene_token": "5c76a3728b8b4d02ae20bd69fb928aa1",
    "frame_token": "abfad6a00c194660abc85b9a1f215190",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white truck to the back of the ego vehicle, a white truck to the front right of the ego vehicle, a pedestrian wearing gray clothes to the back right of the ego vehicle, a white truck to the back of the ego vehicle, a black sedan car to the front of the ego vehicle, and a green light to the front of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.4286,0.5528>, <c2,CAM_FRONT_RIGHT,0.5984,0.4926>, <c3,CAM_BACK_RIGHT,0.7542,0.6436>, <c4,CAM_BACK,0.2729,0.5574>, <c5,CAM_FRONT,0.2068,0.5898>, and <c6,CAM_FRONT,0.6416,0.2276>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-53-31-0400__CAM_FRONT__1537290306912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_LEFT__1537290306904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_RIGHT__1537290306920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-53-31-0400__CAM_BACK__1537290306937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-53-31-0400__CAM_BACK_LEFT__1537290306947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_BACK_RIGHT__1537290306928113.jpg"
    }
  },
  {
    "scene_token": "5c76a3728b8b4d02ae20bd69fb928aa1",
    "frame_token": "abfad6a00c194660abc85b9a1f215190",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.4286,0.5528> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a white truck, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-53-31-0400__CAM_FRONT__1537290306912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_LEFT__1537290306904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_RIGHT__1537290306920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-53-31-0400__CAM_BACK__1537290306937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-53-31-0400__CAM_BACK_LEFT__1537290306947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_BACK_RIGHT__1537290306928113.jpg"
    }
  },
  {
    "scene_token": "5c76a3728b8b4d02ae20bd69fb928aa1",
    "frame_token": "abfad6a00c194660abc85b9a1f215190",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.4286,0.5528> under colorquant corruption?",
    "answer": "Back up.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-53-31-0400__CAM_FRONT__1537290306912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_LEFT__1537290306904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_RIGHT__1537290306920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-53-31-0400__CAM_BACK__1537290306937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-53-31-0400__CAM_BACK_LEFT__1537290306947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_BACK_RIGHT__1537290306928113.jpg"
    }
  },
  {
    "scene_token": "5c76a3728b8b4d02ae20bd69fb928aa1",
    "frame_token": "abfad6a00c194660abc85b9a1f215190",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, slightly offset to the right.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-53-31-0400__CAM_FRONT__1537290306912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_LEFT__1537290306904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_RIGHT__1537290306920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-53-31-0400__CAM_BACK__1537290306937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-53-31-0400__CAM_BACK_LEFT__1537290306947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_BACK_RIGHT__1537290306928113.jpg"
    }
  },
  {
    "scene_token": "5c76a3728b8b4d02ae20bd69fb928aa1",
    "frame_token": "abfad6a00c194660abc85b9a1f215190",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is heavily affected by colorquant corruption, making the colors appear distorted and less distinct. To the back of the ego vehicle, there is a moving white truck (<c1,CAM_BACK,0.4286,0.5528>). In front, a black sedan car is moving (<c5,CAM_FRONT,0.2068,0.5898>), and a green light is visible (<c6,CAM_FRONT,0.6416,0.2276>). A stationary white truck is positioned to the front right (<c2,CAM_FRONT_RIGHT,0.5984,0.4926>), and another stationary white truck is at the back (<c4,CAM_BACK,0.2729,0.5574>). A pedestrian wearing gray clothes is moving to the back right (<c3,CAM_BACK_RIGHT,0.7542,0.6436>). The overall visibility is reduced, requiring careful navigation.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-12-53-31-0400__CAM_FRONT__1537290306912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_LEFT__1537290306904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_FRONT_RIGHT__1537290306920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-12-53-31-0400__CAM_BACK__1537290306937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-12-53-31-0400__CAM_BACK_LEFT__1537290306947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-12-53-31-0400__CAM_BACK_RIGHT__1537290306928113.jpg"
    }
  },
  {
    "scene_token": "567fcd99d0dc4fa088f52b047f4ebdcf",
    "frame_token": "6701ecd1c9ca4e8c910aa4de6c0bd1e7",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Saturate. C. Rain. D. Zoom blur",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800525012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800525004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800525020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800525037528.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800525047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800525027893.jpg"
    }
  },
  {
    "scene_token": "567fcd99d0dc4fa088f52b047f4ebdcf",
    "frame_token": "6701ecd1c9ca4e8c910aa4de6c0bd1e7",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black car to the front of the ego vehicle, a cannot see clearly to the front of the ego vehicle, a white sedan to the back of the ego vehicle, and a white business to the front left of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.9948,0.7186>, <c2,CAM_FRONT,0.4641,0.5797>, <c3,CAM_BACK,0.6094,0.5694>, and <c4,CAM_FRONT_LEFT,0.7396,0.5694>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800525012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800525004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800525020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800525037528.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800525047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800525027893.jpg"
    }
  },
  {
    "scene_token": "567fcd99d0dc4fa088f52b047f4ebdcf",
    "frame_token": "6701ecd1c9ca4e8c910aa4de6c0bd1e7",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.9948,0.7186> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Turn right. C. Going ahead.",
    "answer": "B, Explanation: The object is a black car moving to the right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800525012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800525004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800525020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800525037528.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800525047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800525027893.jpg"
    }
  },
  {
    "scene_token": "567fcd99d0dc4fa088f52b047f4ebdcf",
    "frame_token": "6701ecd1c9ca4e8c910aa4de6c0bd1e7",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.9948,0.7186> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a black car, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800525012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800525004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800525020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800525037528.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800525047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800525027893.jpg"
    }
  },
  {
    "scene_token": "567fcd99d0dc4fa088f52b047f4ebdcf",
    "frame_token": "6701ecd1c9ca4e8c910aa4de6c0bd1e7",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.9948,0.7186> under colorquant corruption?",
    "answer": "Slight right turn.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800525012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800525004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800525020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800525037528.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800525047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800525027893.jpg"
    }
  },
  {
    "scene_token": "567fcd99d0dc4fa088f52b047f4ebdcf",
    "frame_token": "6701ecd1c9ca4e8c910aa4de6c0bd1e7",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.9948,0.7186> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to turn right because there is no safety issue. The probability of this action is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800525012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800525004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800525020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800525037528.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800525047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800525027893.jpg"
    }
  },
  {
    "scene_token": "567fcd99d0dc4fa088f52b047f4ebdcf",
    "frame_token": "6701ecd1c9ca4e8c910aa4de6c0bd1e7",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is heavily affected by colorquant corruption, making it difficult to distinguish details. A black car is moving ahead at coordinates <c1,CAM_FRONT,0.9948,0.7186>. There is an unclear object at <c2,CAM_FRONT,0.4641,0.5797>. A white sedan is moving behind at <c3,CAM_BACK,0.6094,0.5694>, and a white business vehicle is moving to the front left at <c4,CAM_FRONT_LEFT,0.7396,0.5694>. The overall visibility is reduced, affecting perception and decision-making.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800525012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800525004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800525020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800525037528.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800525047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800525027893.jpg"
    }
  },
  {
    "scene_token": "567fcd99d0dc4fa088f52b047f4ebdcf",
    "frame_token": "bf0bb329b6db4de395d61f138c9e0eaf",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Zoom blur. B. H256 ABR compression. C. JPEG compression. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800521412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800521404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800521420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800521437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800521447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800521427893.jpg"
    }
  },
  {
    "scene_token": "567fcd99d0dc4fa088f52b047f4ebdcf",
    "frame_token": "bf0bb329b6db4de395d61f138c9e0eaf",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene considering the colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white sedan to the front of the ego vehicle, a black car to the front of the ego vehicle, a white sedan car to the back of the ego vehicle, and a traffic light to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.5271,0.5620>, <c2,CAM_FRONT,0.4313,0.6380>, <c3,CAM_BACK,0.7120,0.5870>, and <c4,CAM_FRONT,0.2077,0.3447>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800521412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800521404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800521420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800521437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800521447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800521427893.jpg"
    }
  },
  {
    "scene_token": "567fcd99d0dc4fa088f52b047f4ebdcf",
    "frame_token": "bf0bb329b6db4de395d61f138c9e0eaf",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.5271,0.5620> under colorquant corruption? Please select the correct answer from the following options: A. Turn right. B. Going ahead. C. Turn left.",
    "answer": "A, Explanation: The object is a white sedan moving ahead, and the colorquant corruption does not affect its movement status.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800521412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800521404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800521420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800521437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800521447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800521427893.jpg"
    }
  },
  {
    "scene_token": "567fcd99d0dc4fa088f52b047f4ebdcf",
    "frame_token": "bf0bb329b6db4de395d61f138c9e0eaf",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.5271,0.5620> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a white sedan, not a traffic sign or road barrier, and the colorquant corruption does not change its classification.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800521412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800521404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800521420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800521437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800521447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800521427893.jpg"
    }
  },
  {
    "scene_token": "567fcd99d0dc4fa088f52b047f4ebdcf",
    "frame_token": "bf0bb329b6db4de395d61f138c9e0eaf",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.5271,0.5620> considering colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed because there is no safety issue. The probability of taking this action is high, as the colorquant corruption does not obscure the vehicle's path.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800521412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800521404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800521420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800521437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800521447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800521427893.jpg"
    }
  },
  {
    "scene_token": "567fcd99d0dc4fa088f52b047f4ebdcf",
    "frame_token": "bf0bb329b6db4de395d61f138c9e0eaf",
    "question_type": "robust_qas",
    "question": "In this scenario with colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, decelerate gradually without braking. The colorquant corruption does not significantly impact the visibility of the road.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800521412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800521404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800521420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800521437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800521447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800521427893.jpg"
    }
  },
  {
    "scene_token": "567fcd99d0dc4fa088f52b047f4ebdcf",
    "frame_token": "bf0bb329b6db4de395d61f138c9e0eaf",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which alters the color representation, making it challenging to distinguish objects based on color alone. Despite this, key objects are identifiable: a white sedan is moving ahead at coordinates <c1,CAM_FRONT,0.5271,0.5620>, a black car is also moving ahead at <c2,CAM_FRONT,0.4313,0.6380>, another white sedan is behind the ego vehicle at <c3,CAM_BACK,0.7120,0.5870>, and a traffic light is visible at <c4,CAM_FRONT,0.2077,0.3447>. The environment is urban, with streetlights and other vehicles present, but the colorquant effect makes it difficult to discern finer details.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800521412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800521404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800521420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800521437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800521447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800521427893.jpg"
    }
  },
  {
    "scene_token": "d90b94e8bfd446cd9407f48665122268",
    "frame_token": "786371ca58704994aa3c3e6ca593ee92",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Saturate. B. Rain. C. Zoom blur. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-16-41-59+0800__CAM_FRONT__1533113026362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-16-41-59+0800__CAM_FRONT_LEFT__1533113026354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-16-41-59+0800__CAM_FRONT_RIGHT__1533113026370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-16-41-59+0800__CAM_BACK__1533113026387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-16-41-59+0800__CAM_BACK_LEFT__1533113026397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-16-41-59+0800__CAM_BACK_RIGHT__1533113026377893.jpg"
    }
  },
  {
    "scene_token": "d90b94e8bfd446cd9407f48665122268",
    "frame_token": "786371ca58704994aa3c3e6ca593ee92",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene considering the color quantization corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a blue sedan to the back of the ego vehicle, a pedestrian on the roadside to the front of the ego vehicle, and an orange bicycle to the front right of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.8917,0.5787>, <c2,CAM_FRONT,0.1386,0.5481>, and <c3,CAM_FRONT_RIGHT,0.1594,0.6574>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-16-41-59+0800__CAM_FRONT__1533113026362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-16-41-59+0800__CAM_FRONT_LEFT__1533113026354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-16-41-59+0800__CAM_FRONT_RIGHT__1533113026370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-16-41-59+0800__CAM_BACK__1533113026387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-16-41-59+0800__CAM_BACK_LEFT__1533113026397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-16-41-59+0800__CAM_BACK_RIGHT__1533113026377893.jpg"
    }
  },
  {
    "scene_token": "d90b94e8bfd446cd9407f48665122268",
    "frame_token": "786371ca58704994aa3c3e6ca593ee92",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.8917,0.5787> under color quantization corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn right. C. Turn left.",
    "answer": "B, Explanation: The object is a blue sedan, and despite the color quantization corruption, it is still turning right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-16-41-59+0800__CAM_FRONT__1533113026362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-16-41-59+0800__CAM_FRONT_LEFT__1533113026354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-16-41-59+0800__CAM_FRONT_RIGHT__1533113026370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-16-41-59+0800__CAM_BACK__1533113026387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-16-41-59+0800__CAM_BACK_LEFT__1533113026397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-16-41-59+0800__CAM_BACK_RIGHT__1533113026377893.jpg"
    }
  },
  {
    "scene_token": "d90b94e8bfd446cd9407f48665122268",
    "frame_token": "786371ca58704994aa3c3e6ca593ee92",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.8917,0.5787> a traffic sign or a road barrier under color quantization corruption?",
    "answer": "No, Explanation: The object is a blue sedan, not a traffic sign or road barrier, even with the color quantization corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-16-41-59+0800__CAM_FRONT__1533113026362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-16-41-59+0800__CAM_FRONT_LEFT__1533113026354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-16-41-59+0800__CAM_FRONT_RIGHT__1533113026370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-16-41-59+0800__CAM_BACK__1533113026387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-16-41-59+0800__CAM_BACK_LEFT__1533113026397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-16-41-59+0800__CAM_BACK_RIGHT__1533113026377893.jpg"
    }
  },
  {
    "scene_token": "d90b94e8bfd446cd9407f48665122268",
    "frame_token": "786371ca58704994aa3c3e6ca593ee92",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under color quantization corruption? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice orange bicycle at right camera. It is stationary, so the ego vehicle should continue ahead at the same speed. Secondly, notice blue sedan at back camera. It is turning left, so the ego vehicle should continue ahead at the same speed. Thirdly, notice pedestrian on the roadside at front camera. It is turning right, so the ego vehicle should continue ahead at the same speed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-16-41-59+0800__CAM_FRONT__1533113026362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-16-41-59+0800__CAM_FRONT_LEFT__1533113026354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-16-41-59+0800__CAM_FRONT_RIGHT__1533113026370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-16-41-59+0800__CAM_BACK__1533113026387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-16-41-59+0800__CAM_BACK_LEFT__1533113026397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-16-41-59+0800__CAM_BACK_RIGHT__1533113026377893.jpg"
    }
  },
  {
    "scene_token": "d90b94e8bfd446cd9407f48665122268",
    "frame_token": "786371ca58704994aa3c3e6ca593ee92",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK,0.8917,0.5787> under color quantization corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue, and the probability is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-16-41-59+0800__CAM_FRONT__1533113026362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-16-41-59+0800__CAM_FRONT_LEFT__1533113026354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-16-41-59+0800__CAM_FRONT_RIGHT__1533113026370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-16-41-59+0800__CAM_BACK__1533113026387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-16-41-59+0800__CAM_BACK_LEFT__1533113026397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-16-41-59+0800__CAM_BACK_RIGHT__1533113026377893.jpg"
    }
  },
  {
    "scene_token": "d90b94e8bfd446cd9407f48665122268",
    "frame_token": "786371ca58704994aa3c3e6ca593ee92",
    "question_type": "robust_qas",
    "question": "In this scenario with color quantization corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, decelerate gradually without braking.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-16-41-59+0800__CAM_FRONT__1533113026362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-16-41-59+0800__CAM_FRONT_LEFT__1533113026354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-16-41-59+0800__CAM_FRONT_RIGHT__1533113026370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-16-41-59+0800__CAM_BACK__1533113026387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-16-41-59+0800__CAM_BACK_LEFT__1533113026397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-16-41-59+0800__CAM_BACK_RIGHT__1533113026377893.jpg"
    }
  },
  {
    "scene_token": "d90b94e8bfd446cd9407f48665122268",
    "frame_token": "786371ca58704994aa3c3e6ca593ee92",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by color quantization, which reduces the color detail and makes the scene appear with limited color shades. Despite this, the key objects are identifiable: a blue sedan is moving behind the ego vehicle at coordinates <c1,CAM_BACK,0.8917,0.5787>, a pedestrian is moving on the roadside in front of the ego vehicle at coordinates <c2,CAM_FRONT,0.1386,0.5481>, and an orange bicycle is stationary to the front right of the ego vehicle at coordinates <c3,CAM_FRONT_RIGHT,0.1594,0.6574>. The road and surrounding buildings are visible but with less color detail, making it slightly challenging to distinguish finer details.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-16-41-59+0800__CAM_FRONT__1533113026362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-16-41-59+0800__CAM_FRONT_LEFT__1533113026354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-16-41-59+0800__CAM_FRONT_RIGHT__1533113026370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-16-41-59+0800__CAM_BACK__1533113026387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-16-41-59+0800__CAM_BACK_LEFT__1533113026397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-16-41-59+0800__CAM_BACK_RIGHT__1533113026377893.jpg"
    }
  },
  {
    "scene_token": "83773bcf46ac486383529098de0542dd",
    "frame_token": "97915d59900b472687a7baed3280dddf",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Rain. B. Snow. C. Bit error. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-22-45+0800__CAM_FRONT__1532402734412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-22-45+0800__CAM_FRONT_LEFT__1532402734404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-22-45+0800__CAM_FRONT_RIGHT__1532402734420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-22-45+0800__CAM_BACK__1532402734437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-22-45+0800__CAM_BACK_LEFT__1532402734447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-22-45+0800__CAM_BACK_RIGHT__1532402734428280.jpg"
    }
  },
  {
    "scene_token": "83773bcf46ac486383529098de0542dd",
    "frame_token": "97915d59900b472687a7baed3280dddf",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black small car to the front of the ego vehicle, a pedestrian wearing black clothes to the front right of the ego vehicle, a white line to the front of the ego vehicle, and a white line to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.3812,0.5528>, <c2,CAM_FRONT_RIGHT,0.5308,0.5722>, <c3,CAM_FRONT,0.3783,0.6051>, and <c4,CAM_FRONT,0.2835,0.6070>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-22-45+0800__CAM_FRONT__1532402734412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-22-45+0800__CAM_FRONT_LEFT__1532402734404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-22-45+0800__CAM_FRONT_RIGHT__1532402734420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-22-45+0800__CAM_BACK__1532402734437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-22-45+0800__CAM_BACK_LEFT__1532402734447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-22-45+0800__CAM_BACK_RIGHT__1532402734428280.jpg"
    }
  },
  {
    "scene_token": "83773bcf46ac486383529098de0542dd",
    "frame_token": "97915d59900b472687a7baed3280dddf",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.3812,0.5528> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "C, Explanation: The object is a black small car moving to the right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-22-45+0800__CAM_FRONT__1532402734412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-22-45+0800__CAM_FRONT_LEFT__1532402734404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-22-45+0800__CAM_FRONT_RIGHT__1532402734420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-22-45+0800__CAM_BACK__1532402734437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-22-45+0800__CAM_BACK_LEFT__1532402734447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-22-45+0800__CAM_BACK_RIGHT__1532402734428280.jpg"
    }
  },
  {
    "scene_token": "83773bcf46ac486383529098de0542dd",
    "frame_token": "97915d59900b472687a7baed3280dddf",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.3812,0.5528> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a black small car, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-22-45+0800__CAM_FRONT__1532402734412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-22-45+0800__CAM_FRONT_LEFT__1532402734404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-22-45+0800__CAM_FRONT_RIGHT__1532402734420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-22-45+0800__CAM_BACK__1532402734437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-22-45+0800__CAM_BACK_LEFT__1532402734447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-22-45+0800__CAM_BACK_RIGHT__1532402734428280.jpg"
    }
  },
  {
    "scene_token": "83773bcf46ac486383529098de0542dd",
    "frame_token": "97915d59900b472687a7baed3280dddf",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.3812,0.5528> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue, which is highly probable.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-22-45+0800__CAM_FRONT__1532402734412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-22-45+0800__CAM_FRONT_LEFT__1532402734404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-22-45+0800__CAM_FRONT_RIGHT__1532402734420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-22-45+0800__CAM_BACK__1532402734437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-22-45+0800__CAM_BACK_LEFT__1532402734447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-22-45+0800__CAM_BACK_RIGHT__1532402734428280.jpg"
    }
  },
  {
    "scene_token": "83773bcf46ac486383529098de0542dd",
    "frame_token": "97915d59900b472687a7baed3280dddf",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, decelerate gradually without braking, change to the left lane, brake gently to a stop.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-22-45+0800__CAM_FRONT__1532402734412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-22-45+0800__CAM_FRONT_LEFT__1532402734404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-22-45+0800__CAM_FRONT_RIGHT__1532402734420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-22-45+0800__CAM_BACK__1532402734437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-22-45+0800__CAM_BACK_LEFT__1532402734447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-22-45+0800__CAM_BACK_RIGHT__1532402734428280.jpg"
    }
  },
  {
    "scene_token": "83773bcf46ac486383529098de0542dd",
    "frame_token": "97915d59900b472687a7baed3280dddf",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, causing a reduction in color detail and contrast. A black small car is moving ahead, positioned at coordinates <c1,CAM_FRONT,0.3812,0.5528>. A pedestrian wearing black clothes is moving to the front right, located at <c2,CAM_FRONT_RIGHT,0.5308,0.5722>. Two white lines are visible on the road at <c3,CAM_FRONT,0.3783,0.6051> and <c4,CAM_FRONT,0.2835,0.6070>. The overall visibility is reduced, making it challenging to distinguish finer details.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-22-45+0800__CAM_FRONT__1532402734412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-22-45+0800__CAM_FRONT_LEFT__1532402734404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-22-45+0800__CAM_FRONT_RIGHT__1532402734420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-22-45+0800__CAM_BACK__1532402734437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-22-45+0800__CAM_BACK_LEFT__1532402734447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-22-45+0800__CAM_BACK_RIGHT__1532402734428280.jpg"
    }
  },
  {
    "scene_token": "fdf27bbde3e345bd9ac83cbe9a3c813a",
    "frame_token": "b3b29fa2928c4bdba8b657112c1cc222",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Sensor failure. B. Zoom blur. C. Color quant. D. JPEG compression",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193395362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193395354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193395370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193395387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193395397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193395377893.jpg"
    }
  },
  {
    "scene_token": "fdf27bbde3e345bd9ac83cbe9a3c813a",
    "frame_token": "b3b29fa2928c4bdba8b657112c1cc222",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene considering the color quantization effect? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white sedan to the front right of the ego vehicle, a black SUV to the front of the ego vehicle, and a black sedan to the back of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_RIGHT,0.7531,0.5889>, <c2,CAM_FRONT,0.2036,0.5953>, and <c3,CAM_BACK,0.7120,0.6287>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193395362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193395354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193395370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193395387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193395397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193395377893.jpg"
    }
  },
  {
    "scene_token": "fdf27bbde3e345bd9ac83cbe9a3c813a",
    "frame_token": "b3b29fa2928c4bdba8b657112c1cc222",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT_RIGHT,0.7531,0.5889> under the color quantization effect? Please select the correct answer from the following options: A. Turn left. B. Going ahead. C. Turn right.",
    "answer": "C, Explanation: The object is a white sedan and it is turning right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193395362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193395354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193395370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193395387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193395397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193395377893.jpg"
    }
  },
  {
    "scene_token": "fdf27bbde3e345bd9ac83cbe9a3c813a",
    "frame_token": "b3b29fa2928c4bdba8b657112c1cc222",
    "question_type": "robust_qas",
    "question": "Considering the color quantization effect, what object should the ego vehicle notice first when the ego vehicle is getting to the next possible location? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly notice black SUV at front camera. It is going ahead, so the ego vehicle should turn left. Secondly notice white sedan at right camera. It is turning right, so the ego vehicle should turn left. Thirdly notice black sedan at back camera. It is going ahead, so the ego vehicle should turn left.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193395362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193395354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193395370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193395387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193395397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193395377893.jpg"
    }
  },
  {
    "scene_token": "fdf27bbde3e345bd9ac83cbe9a3c813a",
    "frame_token": "b3b29fa2928c4bdba8b657112c1cc222",
    "question_type": "robust_qas",
    "question": "Under the color quantization effect, is <c1,CAM_FRONT_RIGHT,0.7531,0.5889> a traffic sign or a road barrier?",
    "answer": "No, Explanation: The object is a white sedan, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193395362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193395354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193395370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193395387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193395397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193395377893.jpg"
    }
  },
  {
    "scene_token": "fdf27bbde3e345bd9ac83cbe9a3c813a",
    "frame_token": "b3b29fa2928c4bdba8b657112c1cc222",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT_RIGHT,0.7531,0.5889> under the color quantization effect?",
    "answer": "No action taken by the ego vehicle will lead to a collision with <c1,CAM_FRONT_RIGHT,0.7531,0.5889>.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193395362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193395354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193395370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193395387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193395397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193395377893.jpg"
    }
  },
  {
    "scene_token": "fdf27bbde3e345bd9ac83cbe9a3c813a",
    "frame_token": "b3b29fa2928c4bdba8b657112c1cc222",
    "question_type": "robust_qas",
    "question": "In this scenario with color quantization, what are safe actions to take for the ego vehicle?",
    "answer": "Turn left, decelerate gradually without braking, are safe actions to take for the ego vehicle in this scenario.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193395362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193395354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193395370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193395387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193395397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193395377893.jpg"
    }
  },
  {
    "scene_token": "fdf27bbde3e345bd9ac83cbe9a3c813a",
    "frame_token": "b3b29fa2928c4bdba8b657112c1cc222",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by color quantization, making it challenging to distinguish details. A white sedan is moving to the front right of the ego vehicle, positioned at coordinates <0.7531, 0.5889>. Directly ahead, a black SUV is moving forward, located at <0.2036, 0.5953>. Behind the ego vehicle, a black sedan is also moving forward, positioned at <0.7120, 0.6287>. The overall visibility is reduced, requiring careful attention to the key objects and their movements.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193395362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193395354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193395370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193395387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193395397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193395377893.jpg"
    }
  },
  {
    "scene_token": "c74a3a7265ae45f99f65628fbd7cd2a4",
    "frame_token": "f81205e1d792497cba901c08e7812dc6",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Dark. B. Bright. C. Sensor failure. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-24-31+0800__CAM_FRONT__1532662086362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-24-31+0800__CAM_FRONT_LEFT__1532662086354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-24-31+0800__CAM_FRONT_RIGHT__1532662086370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-24-31+0800__CAM_BACK__1532662086387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-24-31+0800__CAM_BACK_LEFT__1532662086397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-24-31+0800__CAM_BACK_RIGHT__1532662086377893.jpg"
    }
  },
  {
    "scene_token": "c74a3a7265ae45f99f65628fbd7cd2a4",
    "frame_token": "f81205e1d792497cba901c08e7812dc6",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene considering the color quantization effect? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white SUV to the back of the ego vehicle, a bicycle to the front of the ego vehicle, and a road is relatively empty to the front of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.5583,0.5463>, <c2,CAM_FRONT,0.3786,0.6222>, and <c3,CAM_FRONT,0.5937,0.6243>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-24-31+0800__CAM_FRONT__1532662086362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-24-31+0800__CAM_FRONT_LEFT__1532662086354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-24-31+0800__CAM_FRONT_RIGHT__1532662086370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-24-31+0800__CAM_BACK__1532662086387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-24-31+0800__CAM_BACK_LEFT__1532662086397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-24-31+0800__CAM_BACK_RIGHT__1532662086377893.jpg"
    }
  },
  {
    "scene_token": "c74a3a7265ae45f99f65628fbd7cd2a4",
    "frame_token": "f81205e1d792497cba901c08e7812dc6",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.5583,0.5463> under color quantization? Please select the correct answer from the following options: A. Turn right. B. Turn left. C. Going ahead.",
    "answer": "A, Explanation: The object is a white SUV, and it is turning right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-24-31+0800__CAM_FRONT__1532662086362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-24-31+0800__CAM_FRONT_LEFT__1532662086354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-24-31+0800__CAM_FRONT_RIGHT__1532662086370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-24-31+0800__CAM_BACK__1532662086387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-24-31+0800__CAM_BACK_LEFT__1532662086397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-24-31+0800__CAM_BACK_RIGHT__1532662086377893.jpg"
    }
  },
  {
    "scene_token": "c74a3a7265ae45f99f65628fbd7cd2a4",
    "frame_token": "f81205e1d792497cba901c08e7812dc6",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.5583,0.5463> a traffic sign or a road barrier under the color quantization effect?",
    "answer": "No, Explanation: The object is a white SUV, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-24-31+0800__CAM_FRONT__1532662086362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-24-31+0800__CAM_FRONT_LEFT__1532662086354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-24-31+0800__CAM_FRONT_RIGHT__1532662086370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-24-31+0800__CAM_BACK__1532662086387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-24-31+0800__CAM_BACK_LEFT__1532662086397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-24-31+0800__CAM_BACK_RIGHT__1532662086377893.jpg"
    }
  },
  {
    "scene_token": "c74a3a7265ae45f99f65628fbd7cd2a4",
    "frame_token": "f81205e1d792497cba901c08e7812dc6",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under color quantization? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice bicycle at front camera. It is stationary, so the ego vehicle should continue ahead at the same speed. Secondly, notice a road is relatively empty at front camera. It is a traffic sign, so the ego vehicle should continue ahead at the same speed. Thirdly, notice white SUV at back camera. It is turning right, so the ego vehicle should continue ahead at the same speed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-24-31+0800__CAM_FRONT__1532662086362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-24-31+0800__CAM_FRONT_LEFT__1532662086354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-24-31+0800__CAM_FRONT_RIGHT__1532662086370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-24-31+0800__CAM_BACK__1532662086387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-24-31+0800__CAM_BACK_LEFT__1532662086397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-24-31+0800__CAM_BACK_RIGHT__1532662086377893.jpg"
    }
  },
  {
    "scene_token": "c74a3a7265ae45f99f65628fbd7cd2a4",
    "frame_token": "f81205e1d792497cba901c08e7812dc6",
    "question_type": "robust_qas",
    "question": "In this scenario with color quantization, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed and turn right.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-24-31+0800__CAM_FRONT__1532662086362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-24-31+0800__CAM_FRONT_LEFT__1532662086354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-24-31+0800__CAM_FRONT_RIGHT__1532662086370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-24-31+0800__CAM_BACK__1532662086387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-24-31+0800__CAM_BACK_LEFT__1532662086397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-24-31+0800__CAM_BACK_RIGHT__1532662086377893.jpg"
    }
  },
  {
    "scene_token": "c74a3a7265ae45f99f65628fbd7cd2a4",
    "frame_token": "f81205e1d792497cba901c08e7812dc6",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK,0.5583,0.5463> under color quantization? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that the object has little reference value for the ego vehicle, with a high probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-24-31+0800__CAM_FRONT__1532662086362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-24-31+0800__CAM_FRONT_LEFT__1532662086354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-24-31+0800__CAM_FRONT_RIGHT__1532662086370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-24-31+0800__CAM_BACK__1532662086387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-24-31+0800__CAM_BACK_LEFT__1532662086397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-24-31+0800__CAM_BACK_RIGHT__1532662086377893.jpg"
    }
  },
  {
    "scene_token": "c74a3a7265ae45f99f65628fbd7cd2a4",
    "frame_token": "f81205e1d792497cba901c08e7812dc6",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by color quantization, which reduces the color detail and makes objects less distinct. A white SUV is moving at the back of the ego vehicle, positioned at coordinates <0.5583, 0.5463>. In front of the ego vehicle, a stationary bicycle is located at <0.3786, 0.6222>. The road ahead appears relatively empty, with coordinates <0.5937, 0.6243>. The overall scene is challenging due to the reduced color detail, requiring careful attention to object recognition and decision-making.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-24-31+0800__CAM_FRONT__1532662086362460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-24-31+0800__CAM_FRONT_LEFT__1532662086354844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-24-31+0800__CAM_FRONT_RIGHT__1532662086370339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-24-31+0800__CAM_BACK__1532662086387525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-24-31+0800__CAM_BACK_LEFT__1532662086397423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-24-31+0800__CAM_BACK_RIGHT__1532662086377893.jpg"
    }
  },
  {
    "scene_token": "034256c9639044f98da7562ef3de3646",
    "frame_token": "c1101ac46cac4d18af91afc641e6bc58",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. JPEG compression. B. Dark. C. Bit error. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985277262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985277254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985277270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985277287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985277297425.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985277277893.jpg"
    }
  },
  {
    "scene_token": "034256c9639044f98da7562ef3de3646",
    "frame_token": "c1101ac46cac4d18af91afc641e6bc58",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.9859,0.7139> under colorquant conditions? Please select the correct answer from the following options: A. Turn right. B. Turn left. C. Going ahead.",
    "answer": "A, Explanation: The object is a white van moving to the right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985277262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985277254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985277270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985277287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985277297425.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985277277893.jpg"
    }
  },
  {
    "scene_token": "034256c9639044f98da7562ef3de3646",
    "frame_token": "c1101ac46cac4d18af91afc641e6bc58",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant conditions? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white van to the front of the ego vehicle, a white SUV to the front of the ego vehicle, a black car to the back of the ego vehicle, a white bus to the back of the ego vehicle, and a white truck to the back left of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.9859,0.7139>, <c2,CAM_FRONT,0.1886,0.5803>, <c3,CAM_BACK,0.5339,0.5861>, <c4,CAM_BACK,0.4161,0.5370>, and <c5,CAM_BACK_LEFT,0.8808,0.4547>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985277262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985277254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985277270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985277287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985277297425.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985277277893.jpg"
    }
  },
  {
    "scene_token": "034256c9639044f98da7562ef3de3646",
    "frame_token": "c1101ac46cac4d18af91afc641e6bc58",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.9859,0.7139> a traffic sign or a road barrier under colorquant conditions?",
    "answer": "No, Explanation: The object is a white van, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985277262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985277254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985277270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985277287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985277297425.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985277277893.jpg"
    }
  },
  {
    "scene_token": "034256c9639044f98da7562ef3de3646",
    "frame_token": "c1101ac46cac4d18af91afc641e6bc58",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.9859,0.7139> under colorquant conditions? Why take this action and what's the probability?",
    "answer": "The action is to decelerate gradually without braking. The reason for taking this action is to avoid a collision, with a high probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985277262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985277254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985277270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985277287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985277297425.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985277277893.jpg"
    }
  },
  {
    "scene_token": "034256c9639044f98da7562ef3de3646",
    "frame_token": "c1101ac46cac4d18af91afc641e6bc58",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant conditions, what are safe actions to take for the ego vehicle?",
    "answer": "Brake gently to a stop, decelerate gradually without braking.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985277262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985277254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985277270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985277287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985277297425.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985277277893.jpg"
    }
  },
  {
    "scene_token": "034256c9639044f98da7562ef3de3646",
    "frame_token": "c1101ac46cac4d18af91afc641e6bc58",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant conditions. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant conditions, making it challenging to perceive details. A white van is moving ahead at coordinates <c1,CAM_FRONT,0.9859,0.7139>. A stationary white SUV is also in front at <c2,CAM_FRONT,0.1886,0.5803>. Behind, a black car is moving at <c3,CAM_BACK,0.5339,0.5861>, and a stationary white bus is at <c4,CAM_BACK,0.4161,0.5370>. To the back left, a stationary white truck is positioned at <c5,CAM_BACK_LEFT,0.8808,0.4547>. The scene is generally dark with reduced color detail, affecting visibility.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985277262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985277254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985277270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985277287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985277297425.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985277277893.jpg"
    }
  },
  {
    "scene_token": "9056ac9944e846109b00e31cc96259cb",
    "frame_token": "744b7aa2a40f4f0b943d0320d4b5c1a4",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Fog. C. Motion blur. D. Rain",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-27-11-48-51-0400__CAM_FRONT__1535385060162664.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_LEFT__1535385060154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_RIGHT__1535385060170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-27-11-48-51-0400__CAM_BACK__1535385060187558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-27-11-48-51-0400__CAM_BACK_LEFT__1535385060197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_BACK_RIGHT__1535385060178113.jpg"
    }
  },
  {
    "scene_token": "9056ac9944e846109b00e31cc96259cb",
    "frame_token": "744b7aa2a40f4f0b943d0320d4b5c1a4",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black sedan to the back of the ego vehicle, a gray sedan to the back of the ego vehicle, and a yellow construction vehicle to the front left of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.8859,0.5944>, <c2,CAM_BACK,0.4610,0.5841>, and <c3,CAM_FRONT_LEFT,0.4016,0.5194>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-27-11-48-51-0400__CAM_FRONT__1535385060162664.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_LEFT__1535385060154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_RIGHT__1535385060170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-27-11-48-51-0400__CAM_BACK__1535385060187558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-27-11-48-51-0400__CAM_BACK_LEFT__1535385060197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_BACK_RIGHT__1535385060178113.jpg"
    }
  },
  {
    "scene_token": "9056ac9944e846109b00e31cc96259cb",
    "frame_token": "744b7aa2a40f4f0b943d0320d4b5c1a4",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_BACK,0.4610,0.5841> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn left. C. Turn right.",
    "answer": "C, Explanation: The object is a gray sedan moving to the right, and the colorquant corruption does not affect its movement direction.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-27-11-48-51-0400__CAM_FRONT__1535385060162664.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_LEFT__1535385060154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_RIGHT__1535385060170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-27-11-48-51-0400__CAM_BACK__1535385060187558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-27-11-48-51-0400__CAM_BACK_LEFT__1535385060197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_BACK_RIGHT__1535385060178113.jpg"
    }
  },
  {
    "scene_token": "9056ac9944e846109b00e31cc96259cb",
    "frame_token": "744b7aa2a40f4f0b943d0320d4b5c1a4",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.8859,0.5944> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a black sedan, and the colorquant corruption does not change its category.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-27-11-48-51-0400__CAM_FRONT__1535385060162664.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_LEFT__1535385060154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_RIGHT__1535385060170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-27-11-48-51-0400__CAM_BACK__1535385060187558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-27-11-48-51-0400__CAM_BACK_LEFT__1535385060197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_BACK_RIGHT__1535385060178113.jpg"
    }
  },
  {
    "scene_token": "9056ac9944e846109b00e31cc96259cb",
    "frame_token": "744b7aa2a40f4f0b943d0320d4b5c1a4",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant corruption? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice that yellow construction vehicle at left camera. The object is stationary, so the ego vehicle should continue ahead at the same speed. Secondly, notice that black sedan at back camera. The object is stationary, so the ego vehicle should continue ahead at the same speed. Thirdly, notice that gray sedan at back camera. The object is moving ahead, so the ego vehicle should continue ahead at the same speed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-27-11-48-51-0400__CAM_FRONT__1535385060162664.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_LEFT__1535385060154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_RIGHT__1535385060170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-27-11-48-51-0400__CAM_BACK__1535385060187558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-27-11-48-51-0400__CAM_BACK_LEFT__1535385060197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_BACK_RIGHT__1535385060178113.jpg"
    }
  },
  {
    "scene_token": "9056ac9944e846109b00e31cc96259cb",
    "frame_token": "744b7aa2a40f4f0b943d0320d4b5c1a4",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK,0.8859,0.5944> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that the object has little reference value for the ego vehicle, with a high probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-27-11-48-51-0400__CAM_FRONT__1535385060162664.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_LEFT__1535385060154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_RIGHT__1535385060170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-27-11-48-51-0400__CAM_BACK__1535385060187558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-27-11-48-51-0400__CAM_BACK_LEFT__1535385060197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_BACK_RIGHT__1535385060178113.jpg"
    }
  },
  {
    "scene_token": "9056ac9944e846109b00e31cc96259cb",
    "frame_token": "744b7aa2a40f4f0b943d0320d4b5c1a4",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c2,CAM_BACK,0.4610,0.5841> under colorquant corruption?",
    "answer": "Back up.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-27-11-48-51-0400__CAM_FRONT__1535385060162664.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_LEFT__1535385060154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_RIGHT__1535385060170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-27-11-48-51-0400__CAM_BACK__1535385060187558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-27-11-48-51-0400__CAM_BACK_LEFT__1535385060197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_BACK_RIGHT__1535385060178113.jpg"
    }
  },
  {
    "scene_token": "9056ac9944e846109b00e31cc96259cb",
    "frame_token": "744b7aa2a40f4f0b943d0320d4b5c1a4",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, which alters the color palette, making it challenging to distinguish details. To the back of the ego vehicle, there is a black sedan (coordinates: 0.8859, 0.5944) and a gray sedan (coordinates: 0.4610, 0.5841). To the front left, a yellow construction vehicle is stationary (coordinates: 0.4016, 0.5194). The scene includes a mix of urban elements like buildings and trees, with the road layout still discernible despite the color distortion.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-27-11-48-51-0400__CAM_FRONT__1535385060162664.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_LEFT__1535385060154799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_FRONT_RIGHT__1535385060170482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-27-11-48-51-0400__CAM_BACK__1535385060187558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-27-11-48-51-0400__CAM_BACK_LEFT__1535385060197405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-27-11-48-51-0400__CAM_BACK_RIGHT__1535385060178113.jpg"
    }
  },
  {
    "scene_token": "1319a9c0288f4ff9ae32d3f33b3bae17",
    "frame_token": "8bd5aa0baee94145bb20b13f43dbc1f3",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Bright. B. Snow. C. Sensor failure. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845294762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845294754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845294770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845294787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845294797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845294777893.jpg"
    }
  },
  {
    "scene_token": "1319a9c0288f4ff9ae32d3f33b3bae17",
    "frame_token": "8bd5aa0baee94145bb20b13f43dbc1f3",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under color quantization corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black car to the back of the ego vehicle, a gray sedan to the back of the ego vehicle, a white sedan to the back left of the ego vehicle, a black sedan to the front of the ego vehicle, and a red light to the front of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.4745,0.6686>, <c2,CAM_BACK,0.7167,0.6374>, <c3,CAM_BACK_LEFT,0.5437,0.7009>, <c4,CAM_FRONT,0.5016,0.5972>, and <c5,CAM_FRONT,0.5612,0.3639>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845294762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845294754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845294770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845294787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845294797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845294777893.jpg"
    }
  },
  {
    "scene_token": "1319a9c0288f4ff9ae32d3f33b3bae17",
    "frame_token": "8bd5aa0baee94145bb20b13f43dbc1f3",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c4,CAM_FRONT,0.5016,0.5972> under color quantization corruption? Please select the correct answer from the following options: A. Turn left. B. Turn right. C. Going ahead.",
    "answer": "B, Explanation: The object is a black sedan moving to the right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845294762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845294754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845294770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845294787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845294797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845294777893.jpg"
    }
  },
  {
    "scene_token": "1319a9c0288f4ff9ae32d3f33b3bae17",
    "frame_token": "8bd5aa0baee94145bb20b13f43dbc1f3",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.4745,0.6686> a traffic sign or a road barrier under color quantization corruption?",
    "answer": "No, Explanation: The object is a black car, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845294762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845294754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845294770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845294787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845294797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845294777893.jpg"
    }
  },
  {
    "scene_token": "1319a9c0288f4ff9ae32d3f33b3bae17",
    "frame_token": "8bd5aa0baee94145bb20b13f43dbc1f3",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.4745,0.6686> under color quantization corruption?",
    "answer": "Back up.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845294762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845294754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845294770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845294787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845294797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845294777893.jpg"
    }
  },
  {
    "scene_token": "1319a9c0288f4ff9ae32d3f33b3bae17",
    "frame_token": "8bd5aa0baee94145bb20b13f43dbc1f3",
    "question_type": "robust_qas",
    "question": "In this scenario under color quantization corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Brake gently to a stop, slightly offset to the right.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845294762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845294754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845294770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845294787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845294797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845294777893.jpg"
    }
  },
  {
    "scene_token": "1319a9c0288f4ff9ae32d3f33b3bae17",
    "frame_token": "8bd5aa0baee94145bb20b13f43dbc1f3",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by color quantization, which reduces the color depth and makes it challenging to distinguish objects clearly. To the back of the ego vehicle, there is a stationary black car at coordinates <c1,CAM_BACK,0.4745,0.6686> and a gray sedan at <c2,CAM_BACK,0.7167,0.6374>. To the back left, a white sedan is stationary at <c3,CAM_BACK_LEFT,0.5437,0.7009>. In front of the ego vehicle, a black sedan is moving at <c4,CAM_FRONT,0.5016,0.5972>, and a red light is visible at <c5,CAM_FRONT,0.5612,0.3639>. The environment is urban with tall buildings and trees, and the road is clear but visually distorted due to the corruption.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845294762460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845294754844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845294770339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845294787525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845294797423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845294777893.jpg"
    }
  },
  {
    "scene_token": "892ed06c432448fe87ecb5d31756f14a",
    "frame_token": "62ac9e73d0eb4c7a9b537384270efb2f",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Zoom blur. B. Color quant. C. Saturate. D. Fog",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-21-11-53-44-0400__CAM_FRONT__1534867373862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_LEFT__1534867373854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_RIGHT__1534867373870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-21-11-53-44-0400__CAM_BACK__1534867373887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-21-11-53-44-0400__CAM_BACK_LEFT__1534867373897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_BACK_RIGHT__1534867373878113.jpg"
    }
  },
  {
    "scene_token": "892ed06c432448fe87ecb5d31756f14a",
    "frame_token": "62ac9e73d0eb4c7a9b537384270efb2f",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene considering the colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a silver pickup truck to the back of the ego vehicle, a black SUV to the front left of the ego vehicle, a blue and white checkered clothes pedestrians to the front right of the ego vehicle, and a red light to the back of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.4078,0.6083>, <c2,CAM_FRONT_LEFT,0.5547,0.7917>, <c3,CAM_FRONT_RIGHT,0.5094,0.6111>, and <c4,CAM_BACK,0.6889,0.3447>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-21-11-53-44-0400__CAM_FRONT__1534867373862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_LEFT__1534867373854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_RIGHT__1534867373870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-21-11-53-44-0400__CAM_BACK__1534867373887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-21-11-53-44-0400__CAM_BACK_LEFT__1534867373897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_BACK_RIGHT__1534867373878113.jpg"
    }
  },
  {
    "scene_token": "892ed06c432448fe87ecb5d31756f14a",
    "frame_token": "62ac9e73d0eb4c7a9b537384270efb2f",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.4078,0.6083> under colorquant corruption? Please select the correct answer from the following options: A. Turn right. B. Turn left. C. Going ahead.",
    "answer": "A, Explanation: The object is a silver pickup truck moving to the right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-21-11-53-44-0400__CAM_FRONT__1534867373862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_LEFT__1534867373854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_RIGHT__1534867373870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-21-11-53-44-0400__CAM_BACK__1534867373887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-21-11-53-44-0400__CAM_BACK_LEFT__1534867373897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_BACK_RIGHT__1534867373878113.jpg"
    }
  },
  {
    "scene_token": "892ed06c432448fe87ecb5d31756f14a",
    "frame_token": "62ac9e73d0eb4c7a9b537384270efb2f",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.4078,0.6083> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a silver pickup truck, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-21-11-53-44-0400__CAM_FRONT__1534867373862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_LEFT__1534867373854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_RIGHT__1534867373870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-21-11-53-44-0400__CAM_BACK__1534867373887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-21-11-53-44-0400__CAM_BACK_LEFT__1534867373897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_BACK_RIGHT__1534867373878113.jpg"
    }
  },
  {
    "scene_token": "892ed06c432448fe87ecb5d31756f14a",
    "frame_token": "62ac9e73d0eb4c7a9b537384270efb2f",
    "question_type": "robust_qas",
    "question": "In this scenario with colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, accelerate, and proceed.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-21-11-53-44-0400__CAM_FRONT__1534867373862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_LEFT__1534867373854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_RIGHT__1534867373870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-21-11-53-44-0400__CAM_BACK__1534867373887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-21-11-53-44-0400__CAM_BACK_LEFT__1534867373897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_BACK_RIGHT__1534867373878113.jpg"
    }
  },
  {
    "scene_token": "892ed06c432448fe87ecb5d31756f14a",
    "frame_token": "62ac9e73d0eb4c7a9b537384270efb2f",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.4078,0.6083> under colorquant corruption?",
    "answer": "Brake suddenly.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-21-11-53-44-0400__CAM_FRONT__1534867373862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_LEFT__1534867373854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_RIGHT__1534867373870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-21-11-53-44-0400__CAM_BACK__1534867373887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-21-11-53-44-0400__CAM_BACK_LEFT__1534867373897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_BACK_RIGHT__1534867373878113.jpg"
    }
  },
  {
    "scene_token": "892ed06c432448fe87ecb5d31756f14a",
    "frame_token": "62ac9e73d0eb4c7a9b537384270efb2f",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, which alters the color representation of the scene. A silver pickup truck is moving behind the ego vehicle, positioned at coordinates <c1,CAM_BACK,0.4078,0.6083>. A black SUV is stationary at the front left, located at <c2,CAM_FRONT_LEFT,0.5547,0.7917>. Pedestrians in blue and white checkered clothes are moving at the front right, at <c3,CAM_FRONT_RIGHT,0.5094,0.6111>. A red light is visible at the back, positioned at <c4,CAM_BACK,0.6889,0.3447>. The overall visibility is reduced due to the color distortion.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-21-11-53-44-0400__CAM_FRONT__1534867373862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_LEFT__1534867373854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_RIGHT__1534867373870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-21-11-53-44-0400__CAM_BACK__1534867373887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-21-11-53-44-0400__CAM_BACK_LEFT__1534867373897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_BACK_RIGHT__1534867373878113.jpg"
    }
  },
  {
    "scene_token": "892ed06c432448fe87ecb5d31756f14a",
    "frame_token": "36b6aa58462449b1b9285954cede8f22",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Saturate. B. Zoom blur. C. Sensor failure. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-21-11-53-44-0400__CAM_FRONT__1534867371912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_LEFT__1534867371904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_RIGHT__1534867371920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-21-11-53-44-0400__CAM_BACK__1534867371937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-21-11-53-44-0400__CAM_BACK_LEFT__1534867371947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_BACK_RIGHT__1534867371928113.jpg"
    }
  },
  {
    "scene_token": "892ed06c432448fe87ecb5d31756f14a",
    "frame_token": "36b6aa58462449b1b9285954cede8f22",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.3783,0.5889> under colorquant conditions? Please select the correct answer from the following options: A. Turn right. B. Going ahead. C. Turn left.",
    "answer": "A, Explanation: The object is a silver truck moving to the right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-21-11-53-44-0400__CAM_FRONT__1534867371912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_LEFT__1534867371904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_RIGHT__1534867371920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-21-11-53-44-0400__CAM_BACK__1534867371937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-21-11-53-44-0400__CAM_BACK_LEFT__1534867371947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_BACK_RIGHT__1534867371928113.jpg"
    }
  },
  {
    "scene_token": "892ed06c432448fe87ecb5d31756f14a",
    "frame_token": "36b6aa58462449b1b9285954cede8f22",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant conditions? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a silver truck to the back of the ego vehicle, a black sedan to the front of the ego vehicle, and a woman wearing blue jeans to the front right of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.3783,0.5889>, <c2,CAM_FRONT,0.3901,0.6991>, and <c3,CAM_FRONT_RIGHT,0.4562,0.7824>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-21-11-53-44-0400__CAM_FRONT__1534867371912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_LEFT__1534867371904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_RIGHT__1534867371920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-21-11-53-44-0400__CAM_BACK__1534867371937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-21-11-53-44-0400__CAM_BACK_LEFT__1534867371947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_BACK_RIGHT__1534867371928113.jpg"
    }
  },
  {
    "scene_token": "892ed06c432448fe87ecb5d31756f14a",
    "frame_token": "36b6aa58462449b1b9285954cede8f22",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant conditions? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice a woman wearing blue jeans at right camera. The object is going ahead, so the ego vehicle should slow down and continue going ahead. Secondly, notice black sedan at front camera. The object is stationary, so the ego vehicle should slow down and continue going ahead. Thirdly, notice silver truck at back camera. The object is going ahead, so the ego vehicle should turn right.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-21-11-53-44-0400__CAM_FRONT__1534867371912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_LEFT__1534867371904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_RIGHT__1534867371920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-21-11-53-44-0400__CAM_BACK__1534867371937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-21-11-53-44-0400__CAM_BACK_LEFT__1534867371947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_BACK_RIGHT__1534867371928113.jpg"
    }
  },
  {
    "scene_token": "892ed06c432448fe87ecb5d31756f14a",
    "frame_token": "36b6aa58462449b1b9285954cede8f22",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.3783,0.5889> a traffic sign or a road barrier under colorquant conditions?",
    "answer": "No, Explanation: The object is a silver truck, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-21-11-53-44-0400__CAM_FRONT__1534867371912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_LEFT__1534867371904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_RIGHT__1534867371920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-21-11-53-44-0400__CAM_BACK__1534867371937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-21-11-53-44-0400__CAM_BACK_LEFT__1534867371947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_BACK_RIGHT__1534867371928113.jpg"
    }
  },
  {
    "scene_token": "892ed06c432448fe87ecb5d31756f14a",
    "frame_token": "36b6aa58462449b1b9285954cede8f22",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_BACK,0.3783,0.5889> under colorquant conditions? Why take this action and what's the probability?",
    "answer": "The action is to decelerate gradually without braking because there is no safety issue. The probability is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-21-11-53-44-0400__CAM_FRONT__1534867371912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_LEFT__1534867371904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_RIGHT__1534867371920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-21-11-53-44-0400__CAM_BACK__1534867371937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-21-11-53-44-0400__CAM_BACK_LEFT__1534867371947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_BACK_RIGHT__1534867371928113.jpg"
    }
  },
  {
    "scene_token": "892ed06c432448fe87ecb5d31756f14a",
    "frame_token": "36b6aa58462449b1b9285954cede8f22",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.3783,0.5889> under colorquant conditions?",
    "answer": "Brake suddenly.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-21-11-53-44-0400__CAM_FRONT__1534867371912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_LEFT__1534867371904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_RIGHT__1534867371920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-21-11-53-44-0400__CAM_BACK__1534867371937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-21-11-53-44-0400__CAM_BACK_LEFT__1534867371947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_BACK_RIGHT__1534867371928113.jpg"
    }
  },
  {
    "scene_token": "892ed06c432448fe87ecb5d31756f14a",
    "frame_token": "36b6aa58462449b1b9285954cede8f22",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant conditions. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant conditions, making the scene appear with reduced color depth and contrast. To the back of the ego vehicle, there is a silver truck moving, identified at coordinates <c1,CAM_BACK,0.3783,0.5889>. In front of the ego vehicle, a black sedan is stationary, located at <c2,CAM_FRONT,0.3901,0.6991>. To the front right, a pedestrian, a woman wearing blue jeans, is moving, positioned at <c3,CAM_FRONT_RIGHT,0.4562,0.7824>. The overall visibility is compromised, requiring careful attention to object detection and decision-making.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-21-11-53-44-0400__CAM_FRONT__1534867371912404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_LEFT__1534867371904799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_FRONT_RIGHT__1534867371920482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-21-11-53-44-0400__CAM_BACK__1534867371937558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-21-11-53-44-0400__CAM_BACK_LEFT__1534867371947405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-21-11-53-44-0400__CAM_BACK_RIGHT__1534867371928113.jpg"
    }
  },
  {
    "scene_token": "28db6ee9a8d34e9e88e741817b6733c1",
    "frame_token": "09c9c4b894a9460a836118ea0554b867",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. H256 ABR compression. B. Color quant. C. Bright. D. Fog",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-41-50-0400__CAM_FRONT__1537292827012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_LEFT__1537292827004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_RIGHT__1537292827020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-41-50-0400__CAM_BACK__1537292827037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-41-50-0400__CAM_BACK_LEFT__1537292827047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_BACK_RIGHT__1537292827028113.jpg"
    }
  },
  {
    "scene_token": "28db6ee9a8d34e9e88e741817b6733c1",
    "frame_token": "09c9c4b894a9460a836118ea0554b867",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_FRONT,0.8583,0.4000> under colorquant corruption? Please select the correct answer from the following options: A. Turn right. B. Going ahead. C. Turn left.",
    "answer": "A, Explanation: The object is a white truck, and despite the colorquant corruption, it is turning right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-41-50-0400__CAM_FRONT__1537292827012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_LEFT__1537292827004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_RIGHT__1537292827020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-41-50-0400__CAM_BACK__1537292827037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-41-50-0400__CAM_BACK_LEFT__1537292827047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_BACK_RIGHT__1537292827028113.jpg"
    }
  },
  {
    "scene_token": "28db6ee9a8d34e9e88e741817b6733c1",
    "frame_token": "09c9c4b894a9460a836118ea0554b867",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white sedan car to the back of the ego vehicle, a white truck to the front of the ego vehicle, a black sedan car to the back left of the ego vehicle, and a white motorhome to the front right of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.5042,0.7528>, <c2,CAM_FRONT,0.8583,0.4000>, <c3,CAM_BACK_LEFT,0.5267,0.7526>, and <c4,CAM_FRONT_RIGHT,0.4980,0.4997>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-41-50-0400__CAM_FRONT__1537292827012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_LEFT__1537292827004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_RIGHT__1537292827020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-41-50-0400__CAM_BACK__1537292827037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-41-50-0400__CAM_BACK_LEFT__1537292827047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_BACK_RIGHT__1537292827028113.jpg"
    }
  },
  {
    "scene_token": "28db6ee9a8d34e9e88e741817b6733c1",
    "frame_token": "09c9c4b894a9460a836118ea0554b867",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.5042,0.7528> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a white sedan car, not a traffic sign or road barrier, even under colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-41-50-0400__CAM_FRONT__1537292827012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_LEFT__1537292827004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_RIGHT__1537292827020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-41-50-0400__CAM_BACK__1537292827037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-41-50-0400__CAM_BACK_LEFT__1537292827047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_BACK_RIGHT__1537292827028113.jpg"
    }
  },
  {
    "scene_token": "28db6ee9a8d34e9e88e741817b6733c1",
    "frame_token": "09c9c4b894a9460a836118ea0554b867",
    "question_type": "robust_qas",
    "question": "In this scenario with colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Brake gently to a stop, slightly offset to the left.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-41-50-0400__CAM_FRONT__1537292827012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_LEFT__1537292827004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_RIGHT__1537292827020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-41-50-0400__CAM_BACK__1537292827037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-41-50-0400__CAM_BACK_LEFT__1537292827047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_BACK_RIGHT__1537292827028113.jpg"
    }
  },
  {
    "scene_token": "28db6ee9a8d34e9e88e741817b6733c1",
    "frame_token": "09c9c4b894a9460a836118ea0554b867",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.5042,0.7528> under colorquant corruption?",
    "answer": "Back up.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-41-50-0400__CAM_FRONT__1537292827012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_LEFT__1537292827004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_RIGHT__1537292827020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-41-50-0400__CAM_BACK__1537292827037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-41-50-0400__CAM_BACK_LEFT__1537292827047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_BACK_RIGHT__1537292827028113.jpg"
    }
  },
  {
    "scene_token": "28db6ee9a8d34e9e88e741817b6733c1",
    "frame_token": "09c9c4b894a9460a836118ea0554b867",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which alters the color palette, making it challenging to distinguish objects. A white sedan car is stationary at the back of the ego vehicle, located at coordinates <c1,CAM_BACK,0.5042,0.7528>. A white truck is moving ahead at the front, positioned at <c2,CAM_FRONT,0.8583,0.4000>. To the back left, a black sedan car is moving, identified at <c3,CAM_BACK_LEFT,0.5267,0.7526>. Finally, a white motorhome is moving to the front right, located at <c4,CAM_FRONT_RIGHT,0.4980,0.4997>. The overall visibility is reduced due to the colorquant effect, impacting the perception of the scene.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-41-50-0400__CAM_FRONT__1537292827012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_LEFT__1537292827004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_FRONT_RIGHT__1537292827020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-41-50-0400__CAM_BACK__1537292827037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-41-50-0400__CAM_BACK_LEFT__1537292827047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-41-50-0400__CAM_BACK_RIGHT__1537292827028113.jpg"
    }
  },
  {
    "scene_token": "363bb6c0fdaf465aa54c39f082bb92c6",
    "frame_token": "297cef22e0f143ceb1e4ef93088bcfb2",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Sensor failure. B. Bright. C. Saturate. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535728919862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535728919854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535728919870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535728919887928.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535728919897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535728919878113.jpg"
    }
  },
  {
    "scene_token": "363bb6c0fdaf465aa54c39f082bb92c6",
    "frame_token": "297cef22e0f143ceb1e4ef93088bcfb2",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black business car to the front right of the ego vehicle, a white and blue SUV to the front of the ego vehicle, a white SUV to the back of the ego vehicle, a white truck to the back left of the ego vehicle, a white business to the front left of the ego vehicle, and a red light to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_RIGHT,0.0120,0.4880>, <c2,CAM_FRONT,0.6953,0.5324>, <c3,CAM_BACK,0.4926,0.6361>, <c4,CAM_BACK_LEFT,0.8323,0.5222>, <c5,CAM_FRONT_LEFT,0.7094,0.5148>, and <c6,CAM_FRONT,0.6504,0.3643>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535728919862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535728919854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535728919870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535728919887928.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535728919897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535728919878113.jpg"
    }
  },
  {
    "scene_token": "363bb6c0fdaf465aa54c39f082bb92c6",
    "frame_token": "297cef22e0f143ceb1e4ef93088bcfb2",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c3,CAM_BACK,0.4926,0.6361> under colorquant corruption? Please select the correct answer from the following options: A. Turn right. B. Turn left. C. Going ahead.",
    "answer": "A, Explanation: The object is a white SUV and it is moving.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535728919862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535728919854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535728919870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535728919887928.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535728919897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535728919878113.jpg"
    }
  },
  {
    "scene_token": "363bb6c0fdaf465aa54c39f082bb92c6",
    "frame_token": "297cef22e0f143ceb1e4ef93088bcfb2",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_RIGHT,0.0120,0.4880> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a black business car, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535728919862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535728919854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535728919870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535728919887928.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535728919897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535728919878113.jpg"
    }
  },
  {
    "scene_token": "363bb6c0fdaf465aa54c39f082bb92c6",
    "frame_token": "297cef22e0f143ceb1e4ef93088bcfb2",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT_RIGHT,0.0120,0.4880> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to turn right. The reason is to follow the traffic rules, which is high probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535728919862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535728919854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535728919870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535728919887928.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535728919897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535728919878113.jpg"
    }
  },
  {
    "scene_token": "363bb6c0fdaf465aa54c39f082bb92c6",
    "frame_token": "297cef22e0f143ceb1e4ef93088bcfb2",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT_RIGHT,0.0120,0.4880> under colorquant corruption?",
    "answer": "Accelerating and going straight.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535728919862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535728919854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535728919870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535728919887928.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535728919897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535728919878113.jpg"
    }
  },
  {
    "scene_token": "363bb6c0fdaf465aa54c39f082bb92c6",
    "frame_token": "297cef22e0f143ceb1e4ef93088bcfb2",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which alters the color palette and reduces detail visibility. A black business car is stationary to the front right (0.0120, 0.4880). A white and blue SUV is stationary directly in front (0.6953, 0.5324). Behind, a white SUV is moving (0.4926, 0.6361). To the back left, a white truck is stationary (0.8323, 0.5222). A white business vehicle is stationary to the front left (0.7094, 0.5148). A red light is visible ahead (0.6504, 0.3643), indicating a stop signal.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535728919862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535728919854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535728919870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535728919887928.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535728919897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535728919878113.jpg"
    }
  },
  {
    "scene_token": "affb0caa5d2948f98cee5c42c7aefc1c",
    "frame_token": "823b7363244140cc8a77e00870c5bb9a",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. H256 ABR compression. B. Dark. C. Sensor failure. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800545012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800545004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800545020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800545037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800545047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800545027893.jpg"
    }
  },
  {
    "scene_token": "affb0caa5d2948f98cee5c42c7aefc1c",
    "frame_token": "823b7363244140cc8a77e00870c5bb9a",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black sedan to the front right of the ego vehicle, a black car to the back of the ego vehicle, a black sedan car to the back of the ego vehicle, and a green light to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_RIGHT,0.2552,0.6500>, <c2,CAM_BACK,0.5604,0.5694>, <c3,CAM_BACK,0.4719,0.5703>, and <c4,CAM_FRONT,0.6852,0.4432>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800545012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800545004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800545020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800545037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800545047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800545027893.jpg"
    }
  },
  {
    "scene_token": "affb0caa5d2948f98cee5c42c7aefc1c",
    "frame_token": "823b7363244140cc8a77e00870c5bb9a",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT_RIGHT,0.2552,0.6500> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn right. C. Turn left.",
    "answer": "B, Explanation: The object is a black sedan moving to the right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800545012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800545004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800545020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800545037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800545047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800545027893.jpg"
    }
  },
  {
    "scene_token": "affb0caa5d2948f98cee5c42c7aefc1c",
    "frame_token": "823b7363244140cc8a77e00870c5bb9a",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_RIGHT,0.2552,0.6500> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a black sedan, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800545012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800545004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800545020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800545037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800545047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800545027893.jpg"
    }
  },
  {
    "scene_token": "affb0caa5d2948f98cee5c42c7aefc1c",
    "frame_token": "823b7363244140cc8a77e00870c5bb9a",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT_RIGHT,0.2552,0.6500> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed because there is no safety issue. The probability of this action is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800545012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800545004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800545020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800545037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800545047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800545027893.jpg"
    }
  },
  {
    "scene_token": "affb0caa5d2948f98cee5c42c7aefc1c",
    "frame_token": "823b7363244140cc8a77e00870c5bb9a",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, decelerate gradually without braking.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800545012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800545004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800545020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800545037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800545047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800545027893.jpg"
    }
  },
  {
    "scene_token": "affb0caa5d2948f98cee5c42c7aefc1c",
    "frame_token": "823b7363244140cc8a77e00870c5bb9a",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is heavily affected by colorquant corruption, making it challenging to perceive details. The environment is urban, with bright lights from buildings and street lamps creating a stark contrast against the dark surroundings. Key objects include a black sedan to the front right of the ego vehicle at coordinates <c1,CAM_FRONT_RIGHT,0.2552,0.6500>, a black car behind the ego vehicle at <c2,CAM_BACK,0.5604,0.5694>, another black sedan car also behind at <c3,CAM_BACK,0.4719,0.5703>, and a green traffic light ahead at <c4,CAM_FRONT,0.6852,0.4432>. Despite the visual distortion, these objects are crucial for navigation.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-21-19-38-26+0800__CAM_FRONT__1542800545012460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_LEFT__1542800545004844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_FRONT_RIGHT__1542800545020339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-21-19-38-26+0800__CAM_BACK__1542800545037525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-21-19-38-26+0800__CAM_BACK_LEFT__1542800545047423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-21-19-38-26+0800__CAM_BACK_RIGHT__1542800545027893.jpg"
    }
  },
  {
    "scene_token": "0053e9c440a94c1b84bd9c4223efc4b0",
    "frame_token": "0dc8558714314cce961af9e7de403517",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Rain. C. Bright. D. JPEG compression",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708439862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708439854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708439870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708439887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708439897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708439878113.jpg"
    }
  },
  {
    "scene_token": "0053e9c440a94c1b84bd9c4223efc4b0",
    "frame_token": "0dc8558714314cce961af9e7de403517",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a gray business to the back of the ego vehicle, a white truck to the front right of the ego vehicle, a gray short-sleeved pedestrian to the front right of the ego vehicle, a brown pants pedestrian to the front of the ego vehicle, a black car to the front right of the ego vehicle, and a black sedan to the front of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.2781,0.6250>, <c2,CAM_FRONT_RIGHT,0.0298,0.4763>, <c3,CAM_FRONT_RIGHT,0.5802,0.7092>, <c4,CAM_FRONT,0.2458,0.6861>, <c5,CAM_FRONT_RIGHT,0.2156,0.6500>, and <c6,CAM_FRONT,0.5844,0.6472>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708439862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708439854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708439870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708439887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708439897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708439878113.jpg"
    }
  },
  {
    "scene_token": "0053e9c440a94c1b84bd9c4223efc4b0",
    "frame_token": "0dc8558714314cce961af9e7de403517",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.2781,0.6250> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn right. C. Turn left.",
    "answer": "B, Explanation: The object is a gray business vehicle moving to the right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708439862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708439854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708439870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708439887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708439897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708439878113.jpg"
    }
  },
  {
    "scene_token": "0053e9c440a94c1b84bd9c4223efc4b0",
    "frame_token": "0dc8558714314cce961af9e7de403517",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.2781,0.6250> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a gray business vehicle, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708439862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708439854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708439870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708439887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708439897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708439878113.jpg"
    }
  },
  {
    "scene_token": "0053e9c440a94c1b84bd9c4223efc4b0",
    "frame_token": "0dc8558714314cce961af9e7de403517",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Turn right, brake gently to stop.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708439862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708439854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708439870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708439887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708439897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708439878113.jpg"
    }
  },
  {
    "scene_token": "0053e9c440a94c1b84bd9c4223efc4b0",
    "frame_token": "0dc8558714314cce961af9e7de403517",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.2781,0.6250> under colorquant corruption?",
    "answer": "Brake suddenly.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708439862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708439854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708439870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708439887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708439897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708439878113.jpg"
    }
  },
  {
    "scene_token": "0053e9c440a94c1b84bd9c4223efc4b0",
    "frame_token": "0dc8558714314cce961af9e7de403517",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, causing a reduction in color detail and contrast. Key objects include a gray business vehicle moving behind the ego vehicle, a white truck moving to the front right, a stationary gray short-sleeved pedestrian to the front right, a moving brown pants pedestrian directly in front, a stationary black car to the front right, and a stationary black sedan in front. These objects are positioned at various coordinates, impacting the ego vehicle's perception and decision-making.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-07-27-12-07-38-0400__CAM_FRONT__1532708439862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_LEFT__1532708439854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_FRONT_RIGHT__1532708439870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-07-27-12-07-38-0400__CAM_BACK__1532708439887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-07-27-12-07-38-0400__CAM_BACK_LEFT__1532708439897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-07-27-12-07-38-0400__CAM_BACK_RIGHT__1532708439878113.jpg"
    }
  },
  {
    "scene_token": "212fd4c9c9174635a7ec76051c8eec9e",
    "frame_token": "f694bb78aa7c47b98e6bd2ad1b2329f0",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Sensor failure. B. Rain. C. Color quant. D. Fog",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-16-03-24+0800__CAM_FRONT__1538986223262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_LEFT__1538986223254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_RIGHT__1538986223270356.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-16-03-24+0800__CAM_BACK__1538986223287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-16-03-24+0800__CAM_BACK_LEFT__1538986223297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_BACK_RIGHT__1538986223277893.jpg"
    }
  },
  {
    "scene_token": "212fd4c9c9174635a7ec76051c8eec9e",
    "frame_token": "f694bb78aa7c47b98e6bd2ad1b2329f0",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK_RIGHT,0.8854,0.5806> under colorquant corruption? Please select the correct answer from the following options: A. Turn right. B. Going ahead. C. Turn left.",
    "answer": "A, Explanation: The object is a red car moving to the right, and the colorquant corruption does not affect its movement direction.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-16-03-24+0800__CAM_FRONT__1538986223262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_LEFT__1538986223254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_RIGHT__1538986223270356.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-16-03-24+0800__CAM_BACK__1538986223287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-16-03-24+0800__CAM_BACK_LEFT__1538986223297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_BACK_RIGHT__1538986223277893.jpg"
    }
  },
  {
    "scene_token": "212fd4c9c9174635a7ec76051c8eec9e",
    "frame_token": "f694bb78aa7c47b98e6bd2ad1b2329f0",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a red car to the back right of the ego vehicle, a person riding a black motorcycle to the back left of the ego vehicle, a white truck to the back left of the ego vehicle, and a white sedan to the front right of the ego vehicle. The IDs of these objects are <c1,CAM_BACK_RIGHT,0.8854,0.5806>, <c2,CAM_BACK_LEFT,0.1021,0.6861>, <c3,CAM_BACK_LEFT,0.7464,0.5047>, and <c4,CAM_FRONT_RIGHT,0.2667,0.5547>. The colorquant corruption may affect the visual clarity but not the identification of these objects.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-16-03-24+0800__CAM_FRONT__1538986223262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_LEFT__1538986223254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_RIGHT__1538986223270356.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-16-03-24+0800__CAM_BACK__1538986223287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-16-03-24+0800__CAM_BACK_LEFT__1538986223297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_BACK_RIGHT__1538986223277893.jpg"
    }
  },
  {
    "scene_token": "212fd4c9c9174635a7ec76051c8eec9e",
    "frame_token": "f694bb78aa7c47b98e6bd2ad1b2329f0",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK_RIGHT,0.8854,0.5806> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a red car, and the colorquant corruption does not change its classification as a vehicle.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-16-03-24+0800__CAM_FRONT__1538986223262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_LEFT__1538986223254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_RIGHT__1538986223270356.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-16-03-24+0800__CAM_BACK__1538986223287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-16-03-24+0800__CAM_BACK_LEFT__1538986223297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_BACK_RIGHT__1538986223277893.jpg"
    }
  },
  {
    "scene_token": "212fd4c9c9174635a7ec76051c8eec9e",
    "frame_token": "f694bb78aa7c47b98e6bd2ad1b2329f0",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Turn right and decelerate gradually without braking are safe actions for the ego vehicle in this scenario. The colorquant corruption may affect visual perception but not the planned actions.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-16-03-24+0800__CAM_FRONT__1538986223262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_LEFT__1538986223254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_RIGHT__1538986223270356.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-16-03-24+0800__CAM_BACK__1538986223287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-16-03-24+0800__CAM_BACK_LEFT__1538986223297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_BACK_RIGHT__1538986223277893.jpg"
    }
  },
  {
    "scene_token": "212fd4c9c9174635a7ec76051c8eec9e",
    "frame_token": "f694bb78aa7c47b98e6bd2ad1b2329f0",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK_RIGHT,0.8854,0.5806> under colorquant corruption?",
    "answer": "No action taken by the ego vehicle will lead to a collision with <c1,CAM_BACK_RIGHT,0.8854,0.5806>. The colorquant corruption does not affect the spatial relationship between the ego vehicle and the red car.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-16-03-24+0800__CAM_FRONT__1538986223262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_LEFT__1538986223254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_RIGHT__1538986223270356.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-16-03-24+0800__CAM_BACK__1538986223287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-16-03-24+0800__CAM_BACK_LEFT__1538986223297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_BACK_RIGHT__1538986223277893.jpg"
    }
  },
  {
    "scene_token": "212fd4c9c9174635a7ec76051c8eec9e",
    "frame_token": "f694bb78aa7c47b98e6bd2ad1b2329f0",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, which alters the color clarity and contrast of the scene. Key objects include a red car moving to the back right of the ego vehicle at coordinates (0.8854, 0.5806), a person riding a black motorcycle to the back left at (0.1021, 0.6861), a white truck also to the back left at (0.7464, 0.5047), and a white sedan to the front right at (0.2667, 0.5547). Despite the color distortion, these objects are identifiable by their shapes and positions.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-16-03-24+0800__CAM_FRONT__1538986223262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_LEFT__1538986223254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_RIGHT__1538986223270356.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-16-03-24+0800__CAM_BACK__1538986223287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-16-03-24+0800__CAM_BACK_LEFT__1538986223297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_BACK_RIGHT__1538986223277893.jpg"
    }
  },
  {
    "scene_token": "a25d763258dc4526b52759b3ddaad7ec",
    "frame_token": "b67b4af69b6a46c3bfb1ba76450b0310",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Rain. C. Snow. D. Motion blur",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535488286662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535488286654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535488286670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535488286687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535488286697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535488286678113.jpg"
    }
  },
  {
    "scene_token": "a25d763258dc4526b52759b3ddaad7ec",
    "frame_token": "b67b4af69b6a46c3bfb1ba76450b0310",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_BACK,0.3495,0.5814> under colorquant conditions? Please select the correct answer from the following options: A. Turn right. B. Going ahead. C. Turn left.",
    "answer": "A, Explanation: The object is a white pickup truck moving to the right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535488286662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535488286654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535488286670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535488286687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535488286697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535488286678113.jpg"
    }
  },
  {
    "scene_token": "a25d763258dc4526b52759b3ddaad7ec",
    "frame_token": "b67b4af69b6a46c3bfb1ba76450b0310",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant conditions? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a man with a backpack to the front right of the ego vehicle, a white pickup truck to the back of the ego vehicle, a white sedan to the front of the ego vehicle, and a man riding a bicycle to the front left of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_RIGHT,0.2562,0.5797>, <c2,CAM_BACK,0.3495,0.5814>, <c3,CAM_FRONT,0.2526,0.6797>, and <c4,CAM_FRONT_LEFT,0.8766,0.6574>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535488286662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535488286654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535488286670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535488286687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535488286697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535488286678113.jpg"
    }
  },
  {
    "scene_token": "a25d763258dc4526b52759b3ddaad7ec",
    "frame_token": "b67b4af69b6a46c3bfb1ba76450b0310",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_RIGHT,0.2562,0.5797> a traffic sign or a road barrier under colorquant conditions?",
    "answer": "No, Explanation: The object is a stationary pedestrian, a man with a backpack.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535488286662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535488286654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535488286670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535488286687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535488286697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535488286678113.jpg"
    }
  },
  {
    "scene_token": "a25d763258dc4526b52759b3ddaad7ec",
    "frame_token": "b67b4af69b6a46c3bfb1ba76450b0310",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant conditions, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed and change to the right lane.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535488286662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535488286654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535488286670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535488286687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535488286697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535488286678113.jpg"
    }
  },
  {
    "scene_token": "a25d763258dc4526b52759b3ddaad7ec",
    "frame_token": "b67b4af69b6a46c3bfb1ba76450b0310",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT_RIGHT,0.2562,0.5797> under colorquant conditions? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue. The probability is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535488286662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535488286654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535488286670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535488286687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535488286697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535488286678113.jpg"
    }
  },
  {
    "scene_token": "a25d763258dc4526b52759b3ddaad7ec",
    "frame_token": "b67b4af69b6a46c3bfb1ba76450b0310",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant conditions. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant conditions, which alter the color representation, making it challenging to distinguish objects. To the front right, there is a stationary pedestrian, a man with a backpack, located at coordinates <c1,CAM_FRONT_RIGHT,0.2562,0.5797>. Behind the ego vehicle, a white pickup truck is moving, identified at <c2,CAM_BACK,0.3495,0.5814>. In front of the ego vehicle, a stationary white sedan is positioned at <c3,CAM_FRONT,0.2526,0.6797>. To the front left, a man is riding a bicycle, moving at <c4,CAM_FRONT_LEFT,0.8766,0.6574>. The environment includes urban structures and a bridge, with reduced color clarity due to the colorquant effect.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-28-16-16-48-0400__CAM_FRONT__1535488286662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_LEFT__1535488286654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_FRONT_RIGHT__1535488286670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-28-16-16-48-0400__CAM_BACK__1535488286687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-28-16-16-48-0400__CAM_BACK_LEFT__1535488286697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-28-16-16-48-0400__CAM_BACK_RIGHT__1535488286678113.jpg"
    }
  },
  {
    "scene_token": "e329b73341204af7a9de29e65291ce1c",
    "frame_token": "8a622afe1c5c4ef0b8ceb9addf736137",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. JPEG compression. B. Rain. C. Snow. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290878262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290878254804.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290878270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290878287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290878297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290878278113.jpg"
    }
  },
  {
    "scene_token": "e329b73341204af7a9de29e65291ce1c",
    "frame_token": "8a622afe1c5c4ef0b8ceb9addf736137",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under color quantization corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black car to the back of the ego vehicle, a blue pickup truck to the back left of the ego vehicle, a red car to the front of the ego vehicle, and a white sedan car to the front left of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.3239,0.5889>, <c2,CAM_BACK_LEFT,0.4942,0.6787>, <c3,CAM_FRONT,0.0370,0.7203>, and <c4,CAM_FRONT_LEFT,0.4255,0.7314>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290878262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290878254804.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290878270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290878287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290878297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290878278113.jpg"
    }
  },
  {
    "scene_token": "e329b73341204af7a9de29e65291ce1c",
    "frame_token": "8a622afe1c5c4ef0b8ceb9addf736137",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.3239,0.5889> under color quantization corruption? Please select the correct answer from the following options: A. Turn right. B. Turn left. C. Going ahead.",
    "answer": "A, Explanation: The object is a black car moving to the right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290878262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290878254804.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290878270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290878287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290878297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290878278113.jpg"
    }
  },
  {
    "scene_token": "e329b73341204af7a9de29e65291ce1c",
    "frame_token": "8a622afe1c5c4ef0b8ceb9addf736137",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.3239,0.5889> a traffic sign or a road barrier under color quantization corruption?",
    "answer": "No, Explanation: The object is a black car, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290878262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290878254804.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290878270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290878287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290878297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290878278113.jpg"
    }
  },
  {
    "scene_token": "e329b73341204af7a9de29e65291ce1c",
    "frame_token": "8a622afe1c5c4ef0b8ceb9addf736137",
    "question_type": "robust_qas",
    "question": "In this scenario under color quantization corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, decelerate gradually without braking.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290878262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290878254804.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290878270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290878287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290878297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290878278113.jpg"
    }
  },
  {
    "scene_token": "e329b73341204af7a9de29e65291ce1c",
    "frame_token": "8a622afe1c5c4ef0b8ceb9addf736137",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.3239,0.5889> under color quantization corruption?",
    "answer": "Brake suddenly.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290878262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290878254804.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290878270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290878287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290878297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290878278113.jpg"
    }
  },
  {
    "scene_token": "e329b73341204af7a9de29e65291ce1c",
    "frame_token": "8a622afe1c5c4ef0b8ceb9addf736137",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by color quantization, making it challenging to distinguish between objects due to reduced color detail. Key objects include a black car moving behind the ego vehicle at coordinates (0.3239, 0.5889), a stationary blue pickup truck to the back left at (0.4942, 0.6787), a stationary red car in front at (0.0370, 0.7203), and a stationary white sedan to the front left at (0.4255, 0.7314). Despite the corruption, these vehicles are positioned in a typical urban setting with buildings and street elements visible.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-13-10-39-0400__CAM_FRONT__1537290878262404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_LEFT__1537290878254804.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_FRONT_RIGHT__1537290878270482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-13-10-39-0400__CAM_BACK__1537290878287558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-13-10-39-0400__CAM_BACK_LEFT__1537290878297405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-13-10-39-0400__CAM_BACK_RIGHT__1537290878278113.jpg"
    }
  },
  {
    "scene_token": "b886756c3fd641eeba9dda3932e196c0",
    "frame_token": "d3f914f3a4a9477a9070d34db98440bc",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. H256 ABR compression. B. Rain. C. Color quant. D. Bit error",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532663026912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532663026904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532663026920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532663026937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532663026947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532663026927893.jpg"
    }
  },
  {
    "scene_token": "b886756c3fd641eeba9dda3932e196c0",
    "frame_token": "d3f914f3a4a9477a9070d34db98440bc",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white SUV to the back of the ego vehicle, a man wearing white clothes to the back right of the ego vehicle, and a man wearing black clothes to the back left of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.3263,0.6722>, <c2,CAM_BACK_RIGHT,0.0886,0.7453>, and <c3,CAM_BACK_LEFT,0.9483,0.6769>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532663026912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532663026904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532663026920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532663026937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532663026947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532663026927893.jpg"
    }
  },
  {
    "scene_token": "b886756c3fd641eeba9dda3932e196c0",
    "frame_token": "d3f914f3a4a9477a9070d34db98440bc",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.3263,0.6722> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Turn right. C. Going ahead.",
    "answer": "B, Explanation: The object is a white SUV and it is turning right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532663026912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532663026904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532663026920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532663026937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532663026947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532663026927893.jpg"
    }
  },
  {
    "scene_token": "b886756c3fd641eeba9dda3932e196c0",
    "frame_token": "d3f914f3a4a9477a9070d34db98440bc",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.3263,0.6722> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a white SUV, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532663026912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532663026904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532663026920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532663026937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532663026947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532663026927893.jpg"
    }
  },
  {
    "scene_token": "b886756c3fd641eeba9dda3932e196c0",
    "frame_token": "d3f914f3a4a9477a9070d34db98440bc",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant corruption? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice that a man wearing black clothes at left rear camera. The object is stationary, so the ego vehicle should keep going ahead at the same speed. Secondly, notice that a man wearing white clothes at right rear camera. The object is going ahead, so the ego vehicle should keep going ahead at the same speed. Thirdly, notice that white SUV at back camera. The object is turning right, so the ego vehicle should keep going ahead at the same speed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532663026912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532663026904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532663026920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532663026937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532663026947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532663026927893.jpg"
    }
  },
  {
    "scene_token": "b886756c3fd641eeba9dda3932e196c0",
    "frame_token": "d3f914f3a4a9477a9070d34db98440bc",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.3263,0.6722> under colorquant corruption?",
    "answer": "Brake suddenly.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532663026912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532663026904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532663026920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532663026937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532663026947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532663026927893.jpg"
    }
  },
  {
    "scene_token": "b886756c3fd641eeba9dda3932e196c0",
    "frame_token": "d3f914f3a4a9477a9070d34db98440bc",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Turn right, decelerate gradually without braking.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532663026912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532663026904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532663026920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532663026937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532663026947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532663026927893.jpg"
    }
  },
  {
    "scene_token": "b886756c3fd641eeba9dda3932e196c0",
    "frame_token": "d3f914f3a4a9477a9070d34db98440bc",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, which alters the color representation of the scene. A white SUV is positioned at the back of the ego vehicle, identified by coordinates <c1,CAM_BACK,0.3263,0.6722>. A man wearing white clothes is moving at the back right, with coordinates <c2,CAM_BACK_RIGHT,0.0886,0.7453>. Another man wearing black clothes is stationary at the back left, with coordinates <c3,CAM_BACK_LEFT,0.9483,0.6769>. The scene includes buildings and vegetation, but the color distortion makes it challenging to perceive details accurately.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-27-11-36-48+0800__CAM_FRONT__1532663026912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_LEFT__1532663026904844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_FRONT_RIGHT__1532663026920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-27-11-36-48+0800__CAM_BACK__1532663026937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-27-11-36-48+0800__CAM_BACK_LEFT__1532663026947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-27-11-36-48+0800__CAM_BACK_RIGHT__1532663026927893.jpg"
    }
  },
  {
    "scene_token": "e2d9a52b37bd4b63b913777ef77b2d4f",
    "frame_token": "70b4c26f830c4b8b8be56ca40d91d846",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Rain. C. Motion blur. D. Zoom blur",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985576412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985576404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985576420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985576437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985576447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985576427893.jpg"
    }
  },
  {
    "scene_token": "e2d9a52b37bd4b63b913777ef77b2d4f",
    "frame_token": "70b4c26f830c4b8b8be56ca40d91d846",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.4239,0.5861> under colorquant conditions? Please select the correct answer from the following options: A. Turn right. B. Turn left. C. Going ahead.",
    "answer": "A, Explanation: The object is a blue SUV moving to the right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985576412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985576404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985576420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985576437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985576447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985576427893.jpg"
    }
  },
  {
    "scene_token": "e2d9a52b37bd4b63b913777ef77b2d4f",
    "frame_token": "70b4c26f830c4b8b8be56ca40d91d846",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant conditions? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a blue SUV to the back of the ego vehicle, a white van to the front left of the ego vehicle, a pedestrian wearing a white shirt to the front of the ego vehicle, and a black sedan to the back of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.4239,0.5861>, <c2,CAM_FRONT_LEFT,0.2411,0.3547>, <c3,CAM_FRONT,0.3886,0.5686>, and <c4,CAM_BACK,0.2807,0.6139>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985576412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985576404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985576420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985576437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985576447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985576427893.jpg"
    }
  },
  {
    "scene_token": "e2d9a52b37bd4b63b913777ef77b2d4f",
    "frame_token": "70b4c26f830c4b8b8be56ca40d91d846",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.4239,0.5861> a traffic sign or a road barrier under colorquant conditions?",
    "answer": "No, Explanation: The object is a blue SUV, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985576412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985576404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985576420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985576437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985576447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985576427893.jpg"
    }
  },
  {
    "scene_token": "e2d9a52b37bd4b63b913777ef77b2d4f",
    "frame_token": "70b4c26f830c4b8b8be56ca40d91d846",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant conditions, what are safe actions to take for the ego vehicle?",
    "answer": "Turning left, slightly offsetting to the left, or slightly offsetting to the right are safe actions for the ego vehicle in this scenario.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985576412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985576404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985576420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985576437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985576447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985576427893.jpg"
    }
  },
  {
    "scene_token": "e2d9a52b37bd4b63b913777ef77b2d4f",
    "frame_token": "70b4c26f830c4b8b8be56ca40d91d846",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.4239,0.5861> under colorquant conditions?",
    "answer": "Back up.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985576412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985576404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985576420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985576437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985576447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985576427893.jpg"
    }
  },
  {
    "scene_token": "e2d9a52b37bd4b63b913777ef77b2d4f",
    "frame_token": "70b4c26f830c4b8b8be56ca40d91d846",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant conditions. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant conditions, making it challenging to perceive details. To the back of the ego vehicle, there is a blue SUV moving, identified as <c1,CAM_BACK,0.4239,0.5861>. A white van is stationary to the front left, identified as <c2,CAM_FRONT_LEFT,0.2411,0.3547>. A pedestrian wearing a white shirt is moving in front of the ego vehicle, identified as <c3,CAM_FRONT,0.3886,0.5686>. Additionally, a black sedan is moving to the back, identified as <c4,CAM_BACK,0.2807,0.6139>. The colorquant effect reduces the visibility of the scene, making it crucial to rely on object detection systems.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-15-52-24+0800__CAM_FRONT__1538985576412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_LEFT__1538985576404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_FRONT_RIGHT__1538985576420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-15-52-24+0800__CAM_BACK__1538985576437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-15-52-24+0800__CAM_BACK_LEFT__1538985576447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-15-52-24+0800__CAM_BACK_RIGHT__1538985576427893.jpg"
    }
  },
  {
    "scene_token": "84f4c0747550493f959595dae6785cd3",
    "frame_token": "d100b9b08be9440498d7abf933732f5f",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Bit error. B. Zoom blur. C. Snow. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535729275012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535729275004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535729275020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535729275037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535729275047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535729275028113.jpg"
    }
  },
  {
    "scene_token": "84f4c0747550493f959595dae6785cd3",
    "frame_token": "d100b9b08be9440498d7abf933732f5f",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a yellow and white bus to the back of the ego vehicle, a walking person to the front left of the ego vehicle, a black sedan to the back of the ego vehicle, a walking person to the back of the ego vehicle, a black car to the back left of the ego vehicle, and a silver sedan to the back of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.4974,0.5361>, <c2,CAM_FRONT_LEFT,0.1516,0.6009>, <c3,CAM_BACK,0.6683,0.5731>, <c4,CAM_BACK,0.1964,0.5778>, <c5,CAM_BACK_LEFT,0.5495,0.7453>, and <c6,CAM_BACK,0.8824,0.6116>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535729275012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535729275004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535729275020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535729275037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535729275047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535729275028113.jpg"
    }
  },
  {
    "scene_token": "84f4c0747550493f959595dae6785cd3",
    "frame_token": "d100b9b08be9440498d7abf933732f5f",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.4974,0.5361> under colorquant corruption? Please select the correct answer from the following options: A. Turn right. B. Turn left. C. Going ahead.",
    "answer": "A, Explanation: The object is a yellow and white bus moving under colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535729275012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535729275004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535729275020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535729275037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535729275047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535729275028113.jpg"
    }
  },
  {
    "scene_token": "84f4c0747550493f959595dae6785cd3",
    "frame_token": "d100b9b08be9440498d7abf933732f5f",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_BACK,0.4974,0.5361> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a yellow and white bus, not a traffic sign or road barrier, even under colorquant corruption.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535729275012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535729275004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535729275020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535729275037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535729275047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535729275028113.jpg"
    }
  },
  {
    "scene_token": "84f4c0747550493f959595dae6785cd3",
    "frame_token": "d100b9b08be9440498d7abf933732f5f",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_BACK,0.4974,0.5361> under colorquant corruption?",
    "answer": "Back up.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535729275012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535729275004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535729275020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535729275037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535729275047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535729275028113.jpg"
    }
  },
  {
    "scene_token": "84f4c0747550493f959595dae6785cd3",
    "frame_token": "d100b9b08be9440498d7abf933732f5f",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Decelerate gradually without braking; keep going at the same speed.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535729275012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535729275004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535729275020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535729275037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535729275047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535729275028113.jpg"
    }
  },
  {
    "scene_token": "84f4c0747550493f959595dae6785cd3",
    "frame_token": "d100b9b08be9440498d7abf933732f5f",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, which alters the color representation of the scene. A yellow and white bus is moving behind the ego vehicle at coordinates <c1,CAM_BACK,0.4974,0.5361>. A pedestrian is walking to the front left at <c2,CAM_FRONT_LEFT,0.1516,0.6009>. A black sedan is moving behind at <c3,CAM_BACK,0.6683,0.5731>, and another pedestrian is walking behind at <c4,CAM_BACK,0.1964,0.5778>. Additionally, a black car is moving to the back left at <c5,CAM_BACK_LEFT,0.5495,0.7453>, and a silver sedan is moving behind at <c6,CAM_BACK,0.8824,0.6116>. The overall visibility is affected, making it challenging to perceive the scene accurately.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-31-11-19-57-0400__CAM_FRONT__1535729275012404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_LEFT__1535729275004799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_FRONT_RIGHT__1535729275020482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-31-11-19-57-0400__CAM_BACK__1535729275037558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-31-11-19-57-0400__CAM_BACK_LEFT__1535729275047405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-31-11-19-57-0400__CAM_BACK_RIGHT__1535729275028113.jpg"
    }
  },
  {
    "scene_token": "54cdaaae372d421fa4734d66f51a8c48",
    "frame_token": "1b45a97a0e5e49fe9cd345dd4bd729c3",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. JPEG compression. B. Dark. C. Color quant. D. Snow",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-03-15-00-36+0800__CAM_FRONT__1533280042612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_LEFT__1533280042604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_RIGHT__1533280042620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-03-15-00-36+0800__CAM_BACK__1533280042637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-03-15-00-36+0800__CAM_BACK_LEFT__1533280042647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_BACK_RIGHT__1533280042627893.jpg"
    }
  },
  {
    "scene_token": "54cdaaae372d421fa4734d66f51a8c48",
    "frame_token": "1b45a97a0e5e49fe9cd345dd4bd729c3",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white sedan car to the front of the ego vehicle, a blue sedan to the front right of the ego vehicle, a white sedan to the front right of the ego vehicle, a white van to the front of the ego vehicle, and a red light to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.4797,0.5703>, <c2,CAM_FRONT_RIGHT,0.2625,0.6000>, <c3,CAM_FRONT_RIGHT,0.4922,0.5880>, <c4,CAM_FRONT,0.0083,0.5278>, and <c5,CAM_FRONT,0.4441,0.3788>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-03-15-00-36+0800__CAM_FRONT__1533280042612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_LEFT__1533280042604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_RIGHT__1533280042620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-03-15-00-36+0800__CAM_BACK__1533280042637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-03-15-00-36+0800__CAM_BACK_LEFT__1533280042647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_BACK_RIGHT__1533280042627893.jpg"
    }
  },
  {
    "scene_token": "54cdaaae372d421fa4734d66f51a8c48",
    "frame_token": "1b45a97a0e5e49fe9cd345dd4bd729c3",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.4797,0.5703> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn right. C. Turn left.",
    "answer": "B, Explanation: The object is a white sedan car moving to the right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-03-15-00-36+0800__CAM_FRONT__1533280042612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_LEFT__1533280042604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_RIGHT__1533280042620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-03-15-00-36+0800__CAM_BACK__1533280042637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-03-15-00-36+0800__CAM_BACK_LEFT__1533280042647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_BACK_RIGHT__1533280042627893.jpg"
    }
  },
  {
    "scene_token": "54cdaaae372d421fa4734d66f51a8c48",
    "frame_token": "1b45a97a0e5e49fe9cd345dd4bd729c3",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.4797,0.5703> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a white sedan car, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-03-15-00-36+0800__CAM_FRONT__1533280042612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_LEFT__1533280042604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_RIGHT__1533280042620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-03-15-00-36+0800__CAM_BACK__1533280042637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-03-15-00-36+0800__CAM_BACK_LEFT__1533280042647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_BACK_RIGHT__1533280042627893.jpg"
    }
  },
  {
    "scene_token": "54cdaaae372d421fa4734d66f51a8c48",
    "frame_token": "1b45a97a0e5e49fe9cd345dd4bd729c3",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.4797,0.5703> under colorquant corruption?",
    "answer": "Accelerating and going straight.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-03-15-00-36+0800__CAM_FRONT__1533280042612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_LEFT__1533280042604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_RIGHT__1533280042620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-03-15-00-36+0800__CAM_BACK__1533280042637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-03-15-00-36+0800__CAM_BACK_LEFT__1533280042647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_BACK_RIGHT__1533280042627893.jpg"
    }
  },
  {
    "scene_token": "54cdaaae372d421fa4734d66f51a8c48",
    "frame_token": "1b45a97a0e5e49fe9cd345dd4bd729c3",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.4797,0.5703> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to remain stationary. The reason for this action is to follow the traffic rules. The probability of this action is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-03-15-00-36+0800__CAM_FRONT__1533280042612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_LEFT__1533280042604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_RIGHT__1533280042620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-03-15-00-36+0800__CAM_BACK__1533280042637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-03-15-00-36+0800__CAM_BACK_LEFT__1533280042647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_BACK_RIGHT__1533280042627893.jpg"
    }
  },
  {
    "scene_token": "54cdaaae372d421fa4734d66f51a8c48",
    "frame_token": "1b45a97a0e5e49fe9cd345dd4bd729c3",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, causing a reduction in color detail and contrast. In front of the ego vehicle, there is a white sedan car (center x: 0.4797, center y: 0.5703) and a white van (center x: 0.0083, center y: 0.5278). To the front right, there is a blue sedan (center x: 0.2625, center y: 0.6000) and another white sedan (center x: 0.4922, center y: 0.5880). A red light is visible in front of the ego vehicle (center x: 0.4441, center y: 0.3788). The overall visibility is reduced, making it challenging to discern finer details.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-03-15-00-36+0800__CAM_FRONT__1533280042612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_LEFT__1533280042604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_FRONT_RIGHT__1533280042620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-03-15-00-36+0800__CAM_BACK__1533280042637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-03-15-00-36+0800__CAM_BACK_LEFT__1533280042647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-03-15-00-36+0800__CAM_BACK_RIGHT__1533280042627893.jpg"
    }
  },
  {
    "scene_token": "6b6a24b7ae6b40ee95d60918f7f4cb2e",
    "frame_token": "c042a09f7f3a4585b253e29552117b45",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Bright. C. Snow. D. H256 ABR compression",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297072862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297072854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297072870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297072887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297072897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297072878113.jpg"
    }
  },
  {
    "scene_token": "6b6a24b7ae6b40ee95d60918f7f4cb2e",
    "frame_token": "c042a09f7f3a4585b253e29552117b45",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under color quantization corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white sedan car to the front right of the ego vehicle, a black sedan to the back right of the ego vehicle, a black car to the back of the ego vehicle, a truck to the front of the ego vehicle, and a red light to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_RIGHT,0.0172,0.6203>, <c2,CAM_BACK_RIGHT,0.5005,0.7630>, <c3,CAM_BACK,0.5526,0.7037>, <c4,CAM_FRONT,0.2484,0.5444>, and <c5,CAM_FRONT,0.5467,0.3571>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297072862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297072854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297072870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297072887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297072897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297072878113.jpg"
    }
  },
  {
    "scene_token": "6b6a24b7ae6b40ee95d60918f7f4cb2e",
    "frame_token": "c042a09f7f3a4585b253e29552117b45",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT_RIGHT,0.0172,0.6203> under color quantization corruption? Please select the correct answer from the following options: A. Turn right. B. Going ahead. C. Turn left.",
    "answer": "A, Explanation: The object is a white sedan car, and it is moving to the right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297072862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297072854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297072870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297072887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297072897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297072878113.jpg"
    }
  },
  {
    "scene_token": "6b6a24b7ae6b40ee95d60918f7f4cb2e",
    "frame_token": "c042a09f7f3a4585b253e29552117b45",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_RIGHT,0.0172,0.6203> a traffic sign or a road barrier under color quantization corruption?",
    "answer": "No, Explanation: The object is a white sedan car, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297072862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297072854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297072870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297072887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297072897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297072878113.jpg"
    }
  },
  {
    "scene_token": "6b6a24b7ae6b40ee95d60918f7f4cb2e",
    "frame_token": "c042a09f7f3a4585b253e29552117b45",
    "question_type": "robust_qas",
    "question": "In this scenario under color quantization corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Brake gently to a stop.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297072862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297072854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297072870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297072887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297072897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297072878113.jpg"
    }
  },
  {
    "scene_token": "6b6a24b7ae6b40ee95d60918f7f4cb2e",
    "frame_token": "c042a09f7f3a4585b253e29552117b45",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle under color quantization corruption can lead to a collision with <c1,CAM_FRONT_RIGHT,0.0172,0.6203>?",
    "answer": "No such action will lead to a collision.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297072862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297072854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297072870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297072887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297072897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297072878113.jpg"
    }
  },
  {
    "scene_token": "6b6a24b7ae6b40ee95d60918f7f4cb2e",
    "frame_token": "c042a09f7f3a4585b253e29552117b45",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by color quantization, which reduces the color detail and makes it challenging to distinguish objects clearly. To the front right, there is a white sedan car moving, identified at coordinates <c1,CAM_FRONT_RIGHT,0.0172,0.6203>. Behind the ego vehicle, a black sedan is moving at <c2,CAM_BACK_RIGHT,0.5005,0.7630>, and a stationary black car is located at <c3,CAM_BACK,0.5526,0.7037>. In front, a stationary truck is positioned at <c4,CAM_FRONT,0.2484,0.5444>, and a red light is visible at <c5,CAM_FRONT,0.5467,0.3571>. The environment includes urban elements like buildings and traffic lights, but the color quantization makes it difficult to perceive finer details.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-09-18-14-54-39-0400__CAM_FRONT__1537297072862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_LEFT__1537297072854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_FRONT_RIGHT__1537297072870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-09-18-14-54-39-0400__CAM_BACK__1537297072887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-09-18-14-54-39-0400__CAM_BACK_LEFT__1537297072897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-09-18-14-54-39-0400__CAM_BACK_RIGHT__1537297072878113.jpg"
    }
  },
  {
    "scene_token": "798e8504b4364d378270333a349ef508",
    "frame_token": "2845ebeeef274d59862d9f5384368db9",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. JPEG compression. C. Snow. D. Sensor failure",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-13-19+0800__CAM_FRONT__1532402045862460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_LEFT__1532402045854844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_RIGHT__1532402045870339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-13-19+0800__CAM_BACK__1532402045887525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-13-19+0800__CAM_BACK_LEFT__1532402045897423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_BACK_RIGHT__1532402045877893.jpg"
    }
  },
  {
    "scene_token": "798e8504b4364d378270333a349ef508",
    "frame_token": "2845ebeeef274d59862d9f5384368db9",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene considering the color quantization effect? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a green construction vehicle to the front of the ego vehicle, a silver van to the front of the ego vehicle, and a white sedan to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.2179,0.5042>, <c2,CAM_FRONT,0.3786,0.5408>, and <c3,CAM_FRONT,0.4755,0.5231>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-13-19+0800__CAM_FRONT__1532402045862460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_LEFT__1532402045854844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_RIGHT__1532402045870339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-13-19+0800__CAM_BACK__1532402045887525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-13-19+0800__CAM_BACK_LEFT__1532402045897423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_BACK_RIGHT__1532402045877893.jpg"
    }
  },
  {
    "scene_token": "798e8504b4364d378270333a349ef508",
    "frame_token": "2845ebeeef274d59862d9f5384368db9",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c3,CAM_FRONT,0.4755,0.5231> under color quantization? Please select the correct answer from the following options: A. Turn right. B. Turn left. C. Going ahead.",
    "answer": "A, Explanation: The object is a white sedan, and it is turning right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-13-19+0800__CAM_FRONT__1532402045862460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_LEFT__1532402045854844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_RIGHT__1532402045870339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-13-19+0800__CAM_BACK__1532402045887525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-13-19+0800__CAM_BACK_LEFT__1532402045897423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_BACK_RIGHT__1532402045877893.jpg"
    }
  },
  {
    "scene_token": "798e8504b4364d378270333a349ef508",
    "frame_token": "2845ebeeef274d59862d9f5384368db9",
    "question_type": "robust_qas",
    "question": "Considering the color quantization, what object should the ego vehicle notice first when the ego vehicle is getting to the next possible location? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "First, notice silver van at front camera, which is stationary, so the ego vehicle should move forward at a constant speed. Second, notice green construction vehicle at front camera, which is also stationary, so the ego vehicle should continue moving forward at a constant speed. Lastly, notice white sedan at front camera, which is in a right turn state, so the ego vehicle should remain stationary move forward at a constant speed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-13-19+0800__CAM_FRONT__1532402045862460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_LEFT__1532402045854844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_RIGHT__1532402045870339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-13-19+0800__CAM_BACK__1532402045887525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-13-19+0800__CAM_BACK_LEFT__1532402045897423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_BACK_RIGHT__1532402045877893.jpg"
    }
  },
  {
    "scene_token": "798e8504b4364d378270333a349ef508",
    "frame_token": "2845ebeeef274d59862d9f5384368db9",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.2179,0.5042> a traffic sign or a road barrier under color quantization?",
    "answer": "No, Explanation: The object is a green construction vehicle, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-13-19+0800__CAM_FRONT__1532402045862460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_LEFT__1532402045854844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_RIGHT__1532402045870339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-13-19+0800__CAM_BACK__1532402045887525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-13-19+0800__CAM_BACK_LEFT__1532402045897423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_BACK_RIGHT__1532402045877893.jpg"
    }
  },
  {
    "scene_token": "798e8504b4364d378270333a349ef508",
    "frame_token": "2845ebeeef274d59862d9f5384368db9",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.2179,0.5042> considering the color quantization effect? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue. The probability of this action is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-13-19+0800__CAM_FRONT__1532402045862460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_LEFT__1532402045854844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_RIGHT__1532402045870339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-13-19+0800__CAM_BACK__1532402045887525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-13-19+0800__CAM_BACK_LEFT__1532402045897423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_BACK_RIGHT__1532402045877893.jpg"
    }
  },
  {
    "scene_token": "798e8504b4364d378270333a349ef508",
    "frame_token": "2845ebeeef274d59862d9f5384368db9",
    "question_type": "robust_qas",
    "question": "In this scenario with color quantization, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, brake suddenly, brake gently to a stop, decelerate gradually without braking, slightly offset to the right, change to the right lane, turn right.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-13-19+0800__CAM_FRONT__1532402045862460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_LEFT__1532402045854844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_RIGHT__1532402045870339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-13-19+0800__CAM_BACK__1532402045887525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-13-19+0800__CAM_BACK_LEFT__1532402045897423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_BACK_RIGHT__1532402045877893.jpg"
    }
  },
  {
    "scene_token": "798e8504b4364d378270333a349ef508",
    "frame_token": "2845ebeeef274d59862d9f5384368db9",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by color quantization, which reduces the color detail and makes objects appear with fewer colors. In front of the ego vehicle, there is a green construction vehicle at coordinates <c1,CAM_FRONT,0.2179,0.5042>, a silver van at <c2,CAM_FRONT,0.3786,0.5408>, and a white sedan at <c3,CAM_FRONT,0.4755,0.5231>. The road is lined with trees and buildings, and the sky is overcast, contributing to the challenging visibility conditions. Despite the color distortion, the key objects remain identifiable, allowing for safe navigation.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-13-19+0800__CAM_FRONT__1532402045862460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_LEFT__1532402045854844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_RIGHT__1532402045870339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-13-19+0800__CAM_BACK__1532402045887525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-13-19+0800__CAM_BACK_LEFT__1532402045897423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_BACK_RIGHT__1532402045877893.jpg"
    }
  },
  {
    "scene_token": "6207269cb9474c14b01f9610b2ee30aa",
    "frame_token": "c42eec2e6901462ca66b926d1154cc44",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Bit error. B. Sensor failure. C. Fog. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-06-15-06-32-0400__CAM_FRONT__1533582489662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_LEFT__1533582489654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_RIGHT__1533582489670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-06-15-06-32-0400__CAM_BACK__1533582489687563.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-06-15-06-32-0400__CAM_BACK_LEFT__1533582489697408.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_BACK_RIGHT__1533582489678113.jpg"
    }
  },
  {
    "scene_token": "6207269cb9474c14b01f9610b2ee30aa",
    "frame_token": "c42eec2e6901462ca66b926d1154cc44",
    "question_type": "robust_qas",
    "question": "Considering the color quantization effect, what are the important objects in the current scene? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white truck to the back of the ego vehicle, a white sedan to the front left of the ego vehicle, a brown car to the back of the ego vehicle, and a white sedan to the back left of the ego vehicle. The IDs of these objects are <c1,CAM_BACK,0.5344,0.5009>, <c2,CAM_FRONT_LEFT,0.6552,0.5703>, <c3,CAM_BACK,0.9366,0.5776>, and <c4,CAM_BACK_LEFT,0.6458,0.6056>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-06-15-06-32-0400__CAM_FRONT__1533582489662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_LEFT__1533582489654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_RIGHT__1533582489670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-06-15-06-32-0400__CAM_BACK__1533582489687563.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-06-15-06-32-0400__CAM_BACK_LEFT__1533582489697408.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_BACK_RIGHT__1533582489678113.jpg"
    }
  },
  {
    "scene_token": "6207269cb9474c14b01f9610b2ee30aa",
    "frame_token": "c42eec2e6901462ca66b926d1154cc44",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_BACK,0.5344,0.5009> under color quantization? Please select the correct answer from the following options: A. Turn right. B. Turn left. C. Going ahead.",
    "answer": "A, Explanation: The object is a white truck, and it is moving, so the correct action is to turn right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-06-15-06-32-0400__CAM_FRONT__1533582489662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_LEFT__1533582489654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_RIGHT__1533582489670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-06-15-06-32-0400__CAM_BACK__1533582489687563.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-06-15-06-32-0400__CAM_BACK_LEFT__1533582489697408.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_BACK_RIGHT__1533582489678113.jpg"
    }
  },
  {
    "scene_token": "6207269cb9474c14b01f9610b2ee30aa",
    "frame_token": "c42eec2e6901462ca66b926d1154cc44",
    "question_type": "robust_qas",
    "question": "Under the color quantization effect, is <c1,CAM_BACK,0.5344,0.5009> a traffic sign or a road barrier?",
    "answer": "No, Explanation: The object is a white truck, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-06-15-06-32-0400__CAM_FRONT__1533582489662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_LEFT__1533582489654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_RIGHT__1533582489670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-06-15-06-32-0400__CAM_BACK__1533582489687563.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-06-15-06-32-0400__CAM_BACK_LEFT__1533582489697408.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_BACK_RIGHT__1533582489678113.jpg"
    }
  },
  {
    "scene_token": "6207269cb9474c14b01f9610b2ee30aa",
    "frame_token": "c42eec2e6901462ca66b926d1154cc44",
    "question_type": "robust_qas",
    "question": "Considering the color quantization effect, what actions could the ego vehicle take based on <c1,CAM_BACK,0.5344,0.5009>? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue. The probability is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-06-15-06-32-0400__CAM_FRONT__1533582489662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_LEFT__1533582489654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_RIGHT__1533582489670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-06-15-06-32-0400__CAM_BACK__1533582489687563.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-06-15-06-32-0400__CAM_BACK_LEFT__1533582489697408.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_BACK_RIGHT__1533582489678113.jpg"
    }
  },
  {
    "scene_token": "6207269cb9474c14b01f9610b2ee30aa",
    "frame_token": "c42eec2e6901462ca66b926d1154cc44",
    "question_type": "robust_qas",
    "question": "In this scenario with color quantization, what are safe actions to take for the ego vehicle?",
    "answer": "Decelerate gradually without braking; brake gently to a stop.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-06-15-06-32-0400__CAM_FRONT__1533582489662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_LEFT__1533582489654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_RIGHT__1533582489670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-06-15-06-32-0400__CAM_BACK__1533582489687563.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-06-15-06-32-0400__CAM_BACK_LEFT__1533582489697408.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_BACK_RIGHT__1533582489678113.jpg"
    }
  },
  {
    "scene_token": "6207269cb9474c14b01f9610b2ee30aa",
    "frame_token": "c42eec2e6901462ca66b926d1154cc44",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by color quantization, which reduces the color depth and makes it challenging to distinguish objects. A white truck is moving behind the ego vehicle at coordinates <c1,CAM_BACK,0.5344,0.5009>. A white sedan is stationary to the front left at <c2,CAM_FRONT_LEFT,0.6552,0.5703>. A brown car is stationary behind the ego vehicle at <c3,CAM_BACK,0.9366,0.5776>, and another white sedan is stationary to the back left at <c4,CAM_BACK_LEFT,0.6458,0.6056>. The environment appears darker and less detailed due to the color quantization effect.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-06-15-06-32-0400__CAM_FRONT__1533582489662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_LEFT__1533582489654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_FRONT_RIGHT__1533582489670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-06-15-06-32-0400__CAM_BACK__1533582489687563.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-06-15-06-32-0400__CAM_BACK_LEFT__1533582489697408.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-06-15-06-32-0400__CAM_BACK_RIGHT__1533582489678113.jpg"
    }
  },
  {
    "scene_token": "c2d5a5e7f7dc4e12b967fff22a0e1bf1",
    "frame_token": "7b9d2655d07f41a081fb2d133d93d625",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Sensor failure. B. Saturate. C. Color quant. D. Bit error",
    "answer": "C. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845613262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845613254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845613270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845613287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845613297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845613277893.jpg"
    }
  },
  {
    "scene_token": "c2d5a5e7f7dc4e12b967fff22a0e1bf1",
    "frame_token": "7b9d2655d07f41a081fb2d133d93d625",
    "question_type": "robust_qas",
    "question": "Considering the colorquant corruption, what is the moving status of object <c5,CAM_BACK,0.4000,0.6102>? Please select the correct answer from the following options: A. Turn left. B. Turn right. C. Going ahead.",
    "answer": "B, Explanation: The object is a black sedan moving to the right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845613262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845613254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845613270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845613287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845613297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845613277893.jpg"
    }
  },
  {
    "scene_token": "c2d5a5e7f7dc4e12b967fff22a0e1bf1",
    "frame_token": "7b9d2655d07f41a081fb2d133d93d625",
    "question_type": "robust_qas",
    "question": "Under colorquant corruption, what are the important objects in the current scene? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black car to the back right of the ego vehicle, a white sedan to the front right of the ego vehicle, a black sedan to the front left of the ego vehicle, a black sedan to the back of the ego vehicle, a white and yellow commercial vehicle to the front right of the ego vehicle, and a white sedan to the front left of the ego vehicle. The IDs of these objects are <c1,CAM_BACK_RIGHT,0.3781,0.7686>, <c2,CAM_FRONT_RIGHT,0.2234,0.7194>, <c3,CAM_FRONT_LEFT,0.8271,0.7436>, <c5,CAM_BACK,0.4000,0.6102>, <c6,CAM_FRONT_RIGHT,0.4229,0.7398>, and <c4,CAM_FRONT_LEFT,0.5964,0.7444>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845613262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845613254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845613270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845613287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845613297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845613277893.jpg"
    }
  },
  {
    "scene_token": "c2d5a5e7f7dc4e12b967fff22a0e1bf1",
    "frame_token": "7b9d2655d07f41a081fb2d133d93d625",
    "question_type": "robust_qas",
    "question": "With the colorquant corruption, is <c1,CAM_BACK_RIGHT,0.3781,0.7686> a traffic sign or a road barrier?",
    "answer": "No, Explanation: The object is a black car, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845613262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845613254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845613270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845613287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845613297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845613277893.jpg"
    }
  },
  {
    "scene_token": "c2d5a5e7f7dc4e12b967fff22a0e1bf1",
    "frame_token": "7b9d2655d07f41a081fb2d133d93d625",
    "question_type": "robust_qas",
    "question": "Considering the colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, decelerate gradually without braking.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845613262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845613254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845613270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845613287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845613297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845613277893.jpg"
    }
  },
  {
    "scene_token": "c2d5a5e7f7dc4e12b967fff22a0e1bf1",
    "frame_token": "7b9d2655d07f41a081fb2d133d93d625",
    "question_type": "robust_qas",
    "question": "With the colorquant corruption, what actions could the ego vehicle take based on <c1,CAM_BACK_RIGHT,0.3781,0.7686>? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed; the reason is that there is no safety issue. The probability is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845613262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845613254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845613270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845613287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845613297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845613277893.jpg"
    }
  },
  {
    "scene_token": "c2d5a5e7f7dc4e12b967fff22a0e1bf1",
    "frame_token": "7b9d2655d07f41a081fb2d133d93d625",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which alters the color representation, making it challenging to distinguish objects. A black car is stationary at the back right of the ego vehicle, positioned at coordinates <c1,CAM_BACK_RIGHT,0.3781,0.7686>. A white sedan is stationary at the front right, located at <c2,CAM_FRONT_RIGHT,0.2234,0.7194>. Another black sedan is stationary at the front left, at <c3,CAM_FRONT_LEFT,0.8271,0.7436>. A moving black sedan is at the back, at <c5,CAM_BACK,0.4000,0.6102>. A white and yellow commercial vehicle is stationary at the front right, at <c6,CAM_FRONT_RIGHT,0.4229,0.7398>. Lastly, a white sedan is stationary at the front left, at <c4,CAM_FRONT_LEFT,0.5964,0.7444>.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845613262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845613254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845613270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845613287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845613297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845613277893.jpg"
    }
  },
  {
    "scene_token": "c2d5a5e7f7dc4e12b967fff22a0e1bf1",
    "frame_token": "7a8188fded5b4e53b449effb2739d3b6",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Fog. B. Color quant. C. Sensor failure. D. Bit error",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845625612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845625604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845625620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845625637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845625647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845625627893.jpg"
    }
  },
  {
    "scene_token": "c2d5a5e7f7dc4e12b967fff22a0e1bf1",
    "frame_token": "7a8188fded5b4e53b449effb2739d3b6",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene considering the colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black pants pedestrian to the front of the ego vehicle, a black sedan to the front right of the ego vehicle, a gray sedan to the front of the ego vehicle, a black pants pedestrian to the front of the ego vehicle, a red and white cone bucket to the front left of the ego vehicle, and a black car to the back of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.4245,0.6148>, <c2,CAM_FRONT_RIGHT,0.2583,0.8028>, <c3,CAM_FRONT,0.2505,0.6842>, <c4,CAM_FRONT,0.4677,0.6370>, <c5,CAM_FRONT_LEFT,0.8161,0.8519>, and <c6,CAM_BACK,0.7978,0.7722>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845625612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845625604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845625620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845625637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845625647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845625627893.jpg"
    }
  },
  {
    "scene_token": "c2d5a5e7f7dc4e12b967fff22a0e1bf1",
    "frame_token": "7a8188fded5b4e53b449effb2739d3b6",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.4245,0.6148> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Turn right. C. Going ahead.",
    "answer": "B, Explanation: The object is a black pants pedestrian moving to the right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845625612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845625604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845625620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845625637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845625647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845625627893.jpg"
    }
  },
  {
    "scene_token": "c2d5a5e7f7dc4e12b967fff22a0e1bf1",
    "frame_token": "7a8188fded5b4e53b449effb2739d3b6",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.4245,0.6148> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a black pants pedestrian, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845625612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845625604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845625620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845625637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845625647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845625627893.jpg"
    }
  },
  {
    "scene_token": "c2d5a5e7f7dc4e12b967fff22a0e1bf1",
    "frame_token": "7a8188fded5b4e53b449effb2739d3b6",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.4245,0.6148> considering colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to remain stationary. The reason for this action is that there is no safety issue. The probability of this action is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845625612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845625604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845625620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845625637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845625647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845625627893.jpg"
    }
  },
  {
    "scene_token": "c2d5a5e7f7dc4e12b967fff22a0e1bf1",
    "frame_token": "7a8188fded5b4e53b449effb2739d3b6",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.4245,0.6148> under colorquant corruption?",
    "answer": "Accelerate and go straight can lead to a collision with <c1,CAM_FRONT,0.4245,0.6148>.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845625612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845625604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845625620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845625637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845625647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845625627893.jpg"
    }
  },
  {
    "scene_token": "c2d5a5e7f7dc4e12b967fff22a0e1bf1",
    "frame_token": "7a8188fded5b4e53b449effb2739d3b6",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant corruption, which alters the color representation, making it challenging to distinguish objects. In the front view, there is a pedestrian wearing black pants moving across the road at coordinates (0.4245, 0.6148). A stationary black sedan is located to the front right at (0.2583, 0.8028), and a gray sedan is directly in front at (0.2505, 0.6842). Another pedestrian in black pants is also moving in the front view at (0.4677, 0.6370). To the front left, a red and white cone bucket is visible at (0.8161, 0.8519). Behind the vehicle, a stationary black car is positioned at (0.7978, 0.7722). The colorquant corruption makes it difficult to perceive the true colors and details of these objects.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-25-11-10-38+0800__CAM_FRONT__1537845625612460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_LEFT__1537845625604844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_FRONT_RIGHT__1537845625620339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-25-11-10-38+0800__CAM_BACK__1537845625637525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-25-11-10-38+0800__CAM_BACK_LEFT__1537845625647423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-25-11-10-38+0800__CAM_BACK_RIGHT__1537845625627893.jpg"
    }
  },
  {
    "scene_token": "eac3102e4cc24d4b95532bcc711a902f",
    "frame_token": "ee4ed5937b704e428d539892d66275f9",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Rain. C. H256 ABR compression. D. Snow",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-13-19+0800__CAM_FRONT__1532402020262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_LEFT__1532402020254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_RIGHT__1532402020270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-13-19+0800__CAM_BACK__1532402020287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-13-19+0800__CAM_BACK_LEFT__1532402020297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_BACK_RIGHT__1532402020277902.jpg"
    }
  },
  {
    "scene_token": "eac3102e4cc24d4b95532bcc711a902f",
    "frame_token": "ee4ed5937b704e428d539892d66275f9",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_FRONT,0.7552,0.5981> under colorquant corruption? Please select the correct answer from the following options: A. Going ahead. B. Turn right. C. Turn left.",
    "answer": "B, Explanation: The object is a blue sedan, and despite the colorquant corruption, it is still turning right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-13-19+0800__CAM_FRONT__1532402020262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_LEFT__1532402020254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_RIGHT__1532402020270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-13-19+0800__CAM_BACK__1532402020287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-13-19+0800__CAM_BACK_LEFT__1532402020297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_BACK_RIGHT__1532402020277902.jpg"
    }
  },
  {
    "scene_token": "eac3102e4cc24d4b95532bcc711a902f",
    "frame_token": "ee4ed5937b704e428d539892d66275f9",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a person wearing black clothes riding a red motorcycle to the front of the ego vehicle, a blue sedan to the front of the ego vehicle, and a red car to the back of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.3719,0.5908>, <c2,CAM_FRONT,0.7552,0.5981>, and <c3,CAM_BACK,0.5344,0.6064>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-13-19+0800__CAM_FRONT__1532402020262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_LEFT__1532402020254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_RIGHT__1532402020270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-13-19+0800__CAM_BACK__1532402020287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-13-19+0800__CAM_BACK_LEFT__1532402020297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_BACK_RIGHT__1532402020277902.jpg"
    }
  },
  {
    "scene_token": "eac3102e4cc24d4b95532bcc711a902f",
    "frame_token": "ee4ed5937b704e428d539892d66275f9",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.3719,0.5908> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a person wearing black clothes riding a red motorcycle, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-13-19+0800__CAM_FRONT__1532402020262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_LEFT__1532402020254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_RIGHT__1532402020270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-13-19+0800__CAM_BACK__1532402020287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-13-19+0800__CAM_BACK_LEFT__1532402020297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_BACK_RIGHT__1532402020277902.jpg"
    }
  },
  {
    "scene_token": "eac3102e4cc24d4b95532bcc711a902f",
    "frame_token": "ee4ed5937b704e428d539892d66275f9",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant corruption? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice a person wearing black clothes riding a red motorcycle at front camera. The object is stationary, so the ego vehicle should slow down and proceed. Secondly, notice blue sedan at front camera. The object is turning right, so the ego vehicle should slow down and proceed. Thirdly, notice red car at back camera. The object is going ahead, so the ego vehicle should slow down and proceed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-13-19+0800__CAM_FRONT__1532402020262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_LEFT__1532402020254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_RIGHT__1532402020270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-13-19+0800__CAM_BACK__1532402020287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-13-19+0800__CAM_BACK_LEFT__1532402020297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_BACK_RIGHT__1532402020277902.jpg"
    }
  },
  {
    "scene_token": "eac3102e4cc24d4b95532bcc711a902f",
    "frame_token": "ee4ed5937b704e428d539892d66275f9",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Turn left and continue at the same speed.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-13-19+0800__CAM_FRONT__1532402020262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_LEFT__1532402020254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_RIGHT__1532402020270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-13-19+0800__CAM_BACK__1532402020287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-13-19+0800__CAM_BACK_LEFT__1532402020297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_BACK_RIGHT__1532402020277902.jpg"
    }
  },
  {
    "scene_token": "eac3102e4cc24d4b95532bcc711a902f",
    "frame_token": "ee4ed5937b704e428d539892d66275f9",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.3719,0.5908> under colorquant corruption?",
    "answer": "Accelerating and going straight.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-13-19+0800__CAM_FRONT__1532402020262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_LEFT__1532402020254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_RIGHT__1532402020270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-13-19+0800__CAM_BACK__1532402020287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-13-19+0800__CAM_BACK_LEFT__1532402020297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_BACK_RIGHT__1532402020277902.jpg"
    }
  },
  {
    "scene_token": "eac3102e4cc24d4b95532bcc711a902f",
    "frame_token": "ee4ed5937b704e428d539892d66275f9",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, causing a reduction in color detail and contrast. In the front view, a person wearing black clothes is riding a red motorcycle, positioned at coordinates <c1,CAM_FRONT,0.3719,0.5908>. A blue sedan is also visible in the front, turning right, located at <c2,CAM_FRONT,0.7552,0.5981>. Behind the ego vehicle, a red car is moving forward, seen at <c3,CAM_BACK,0.5344,0.6064>. The overall scene is challenging to interpret due to the color distortion, requiring careful attention to object positions and movements.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-07-24-11-13-19+0800__CAM_FRONT__1532402020262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_LEFT__1532402020254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_FRONT_RIGHT__1532402020270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-07-24-11-13-19+0800__CAM_BACK__1532402020287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-07-24-11-13-19+0800__CAM_BACK_LEFT__1532402020297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-07-24-11-13-19+0800__CAM_BACK_RIGHT__1532402020277902.jpg"
    }
  },
  {
    "scene_token": "8c45a7a9142f4f848d463cc46843db71",
    "frame_token": "6bcbfd126c8b44f0bb5a04a7efdc3986",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Fog. C. Motion blur. D. Snow",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-52-26-0400__CAM_FRONT__1535659017612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_LEFT__1535659017604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_RIGHT__1535659017620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-52-26-0400__CAM_BACK__1535659017637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-52-26-0400__CAM_BACK_LEFT__1535659017647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_BACK_RIGHT__1535659017628113.jpg"
    }
  },
  {
    "scene_token": "8c45a7a9142f4f848d463cc46843db71",
    "frame_token": "6bcbfd126c8b44f0bb5a04a7efdc3986",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.1906,0.6139> under colorquant conditions? Please select the correct answer from the following options: A. Turn right. B. Going ahead. C. Turn left.",
    "answer": "A, Explanation: The object is a silver sedan that is turning right, even under colorquant conditions.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-52-26-0400__CAM_FRONT__1535659017612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_LEFT__1535659017604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_RIGHT__1535659017620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-52-26-0400__CAM_BACK__1535659017637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-52-26-0400__CAM_BACK_LEFT__1535659017647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_BACK_RIGHT__1535659017628113.jpg"
    }
  },
  {
    "scene_token": "8c45a7a9142f4f848d463cc46843db71",
    "frame_token": "6bcbfd126c8b44f0bb5a04a7efdc3986",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant conditions? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a silver sedan to the front of the ego vehicle, a silver sedan to the front right of the ego vehicle, and a blue sedan to the back of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.1906,0.6139>, <c2,CAM_FRONT_RIGHT,0.0255,0.6083>, and <c3,CAM_BACK,0.5286,0.7176>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-52-26-0400__CAM_FRONT__1535659017612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_LEFT__1535659017604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_RIGHT__1535659017620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-52-26-0400__CAM_BACK__1535659017637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-52-26-0400__CAM_BACK_LEFT__1535659017647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_BACK_RIGHT__1535659017628113.jpg"
    }
  },
  {
    "scene_token": "8c45a7a9142f4f848d463cc46843db71",
    "frame_token": "6bcbfd126c8b44f0bb5a04a7efdc3986",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant conditions? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly notice that silver sedan at front camera. The object is turning right, so the ego vehicle should remain stationary. Secondly, notice that silver sedan at right camera. The object is going ahead, so the ego vehicle should remain stationary. Thirdly, notice that blue sedan at back camera. The object is stationary, so the ego vehicle should remain stationary.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-52-26-0400__CAM_FRONT__1535659017612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_LEFT__1535659017604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_RIGHT__1535659017620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-52-26-0400__CAM_BACK__1535659017637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-52-26-0400__CAM_BACK_LEFT__1535659017647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_BACK_RIGHT__1535659017628113.jpg"
    }
  },
  {
    "scene_token": "8c45a7a9142f4f848d463cc46843db71",
    "frame_token": "6bcbfd126c8b44f0bb5a04a7efdc3986",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.1906,0.6139> a traffic sign or a road barrier under colorquant conditions?",
    "answer": "No, Explanation: The object is a silver sedan, not a traffic sign or road barrier, even under colorquant conditions.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-52-26-0400__CAM_FRONT__1535659017612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_LEFT__1535659017604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_RIGHT__1535659017620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-52-26-0400__CAM_BACK__1535659017637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-52-26-0400__CAM_BACK_LEFT__1535659017647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_BACK_RIGHT__1535659017628113.jpg"
    }
  },
  {
    "scene_token": "8c45a7a9142f4f848d463cc46843db71",
    "frame_token": "6bcbfd126c8b44f0bb5a04a7efdc3986",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant conditions, what are safe actions to take for the ego vehicle?",
    "answer": "Brake gently to a stop, slightly offset to the right.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-52-26-0400__CAM_FRONT__1535659017612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_LEFT__1535659017604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_RIGHT__1535659017620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-52-26-0400__CAM_BACK__1535659017637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-52-26-0400__CAM_BACK_LEFT__1535659017647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_BACK_RIGHT__1535659017628113.jpg"
    }
  },
  {
    "scene_token": "8c45a7a9142f4f848d463cc46843db71",
    "frame_token": "6bcbfd126c8b44f0bb5a04a7efdc3986",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.1906,0.6139> under colorquant conditions?",
    "answer": "Slight left turn.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-52-26-0400__CAM_FRONT__1535659017612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_LEFT__1535659017604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_RIGHT__1535659017620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-52-26-0400__CAM_BACK__1535659017637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-52-26-0400__CAM_BACK_LEFT__1535659017647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_BACK_RIGHT__1535659017628113.jpg"
    }
  },
  {
    "scene_token": "8c45a7a9142f4f848d463cc46843db71",
    "frame_token": "6bcbfd126c8b44f0bb5a04a7efdc3986",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant conditions. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant conditions, which reduce the color depth and make the scene appear with fewer colors. In front of the ego vehicle, there is a silver sedan turning right, located at coordinates <c1,CAM_FRONT,0.1906,0.6139>. To the front right, another silver sedan is moving straight, positioned at <c2,CAM_FRONT_RIGHT,0.0255,0.6083>. Behind the ego vehicle, a blue sedan is stationary at <c3,CAM_BACK,0.5286,0.7176>. The overall visibility is reduced due to the colorquant effect, making it challenging to distinguish between objects.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-30-15-52-26-0400__CAM_FRONT__1535659017612404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_LEFT__1535659017604799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_FRONT_RIGHT__1535659017620482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-30-15-52-26-0400__CAM_BACK__1535659017637558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-30-15-52-26-0400__CAM_BACK_LEFT__1535659017647405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-30-15-52-26-0400__CAM_BACK_RIGHT__1535659017628113.jpg"
    }
  },
  {
    "scene_token": "e209e66ff7834490b212c16cb12a1ce9",
    "frame_token": "187ecc6a2ce34e52ba02da567d21e23c",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Saturate. B. Color quant. C. Zoom blur. D. Bit error",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535573648662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535573648654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535573648670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535573648687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535573648697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535573648678121.jpg"
    }
  },
  {
    "scene_token": "e209e66ff7834490b212c16cb12a1ce9",
    "frame_token": "187ecc6a2ce34e52ba02da567d21e23c",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under color quantization effects? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a person riding a motorcycle to the front of the ego vehicle, a gray minivan to the back of the ego vehicle, a black SUV to the front left of the ego vehicle, and a white motorhome to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.0938,0.6481>, <c2,CAM_BACK,0.4567,0.6186>, <c3,CAM_FRONT_LEFT,0.5833,0.7564>, and <c4,CAM_FRONT,0.3094,0.5556>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535573648662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535573648654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535573648670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535573648687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535573648697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535573648678121.jpg"
    }
  },
  {
    "scene_token": "e209e66ff7834490b212c16cb12a1ce9",
    "frame_token": "187ecc6a2ce34e52ba02da567d21e23c",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_BACK,0.4567,0.6186> under color quantization effects? Please select the correct answer from the following options: A. Turn right. B. Going ahead. C. Turn left.",
    "answer": "A, Explanation: The object is a gray minivan, and it is moving.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535573648662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535573648654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535573648670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535573648687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535573648697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535573648678121.jpg"
    }
  },
  {
    "scene_token": "e209e66ff7834490b212c16cb12a1ce9",
    "frame_token": "187ecc6a2ce34e52ba02da567d21e23c",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.0938,0.6481> a traffic sign or a road barrier under color quantization effects?",
    "answer": "No, Explanation: The object is a person riding a motorcycle.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535573648662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535573648654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535573648670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535573648687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535573648697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535573648678121.jpg"
    }
  },
  {
    "scene_token": "e209e66ff7834490b212c16cb12a1ce9",
    "frame_token": "187ecc6a2ce34e52ba02da567d21e23c",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.0938,0.6481> under color quantization effects?",
    "answer": "Moderate left turn.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535573648662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535573648654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535573648670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535573648687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535573648697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535573648678121.jpg"
    }
  },
  {
    "scene_token": "e209e66ff7834490b212c16cb12a1ce9",
    "frame_token": "187ecc6a2ce34e52ba02da567d21e23c",
    "question_type": "robust_qas",
    "question": "In this scenario under color quantization effects, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, decelerate gradually without braking.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535573648662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535573648654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535573648670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535573648687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535573648697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535573648678121.jpg"
    }
  },
  {
    "scene_token": "e209e66ff7834490b212c16cb12a1ce9",
    "frame_token": "187ecc6a2ce34e52ba02da567d21e23c",
    "question_type": "robust_qas",
    "question": "Describe the current environment under color quantization effects. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by color quantization, which alters the color details and visibility. To the front of the ego vehicle, there is a stationary white motorhome and a person riding a motorcycle. To the back, a gray minivan is moving. On the front left, a black SUV is stationary. The environment includes urban elements like buildings and road signs, but their details are less distinct due to the color quantization effect.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535573648662404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535573648654799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535573648670482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535573648687558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535573648697405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535573648678121.jpg"
    }
  },
  {
    "scene_token": "c0d3796765e2452d990309b2568adac5",
    "frame_token": "464a82c88b4a420a9639cca247918a7c",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Bit error. C. Rain. D. JPEG compression",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-17-13-57+0800__CAM_FRONT__1533115172412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-17-13-57+0800__CAM_FRONT_LEFT__1533115172404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-17-13-57+0800__CAM_FRONT_RIGHT__1533115172420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-17-13-57+0800__CAM_BACK__1533115172437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-17-13-57+0800__CAM_BACK_LEFT__1533115172447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-17-13-57+0800__CAM_BACK_RIGHT__1533115172427893.jpg"
    }
  },
  {
    "scene_token": "c0d3796765e2452d990309b2568adac5",
    "frame_token": "464a82c88b4a420a9639cca247918a7c",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.2432,0.4972> under colorquant conditions? Please select the correct answer from the following options: A. Going ahead. B. Turn right. C. Turn left.",
    "answer": "B, Explanation: The object is a white truck moving to the right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-17-13-57+0800__CAM_FRONT__1533115172412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-17-13-57+0800__CAM_FRONT_LEFT__1533115172404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-17-13-57+0800__CAM_FRONT_RIGHT__1533115172420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-17-13-57+0800__CAM_BACK__1533115172437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-17-13-57+0800__CAM_BACK_LEFT__1533115172447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-17-13-57+0800__CAM_BACK_RIGHT__1533115172427893.jpg"
    }
  },
  {
    "scene_token": "c0d3796765e2452d990309b2568adac5",
    "frame_token": "464a82c88b4a420a9639cca247918a7c",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant conditions? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white truck to the front of the ego vehicle, a person wearing yellow clothes to the back of the ego vehicle, a gray SUV to the back of the ego vehicle, and a person wearing yellow clothes to the front right of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.2432,0.4972>, <c2,CAM_BACK,0.8771,0.6000>, <c3,CAM_BACK,0.5734,0.6278>, and <c4,CAM_FRONT_RIGHT,0.3901,0.6241>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-17-13-57+0800__CAM_FRONT__1533115172412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-17-13-57+0800__CAM_FRONT_LEFT__1533115172404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-17-13-57+0800__CAM_FRONT_RIGHT__1533115172420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-17-13-57+0800__CAM_BACK__1533115172437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-17-13-57+0800__CAM_BACK_LEFT__1533115172447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-17-13-57+0800__CAM_BACK_RIGHT__1533115172427893.jpg"
    }
  },
  {
    "scene_token": "c0d3796765e2452d990309b2568adac5",
    "frame_token": "464a82c88b4a420a9639cca247918a7c",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.2432,0.4972> a traffic sign or a road barrier under colorquant conditions?",
    "answer": "No, Explanation: The object is a white truck, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-17-13-57+0800__CAM_FRONT__1533115172412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-17-13-57+0800__CAM_FRONT_LEFT__1533115172404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-17-13-57+0800__CAM_FRONT_RIGHT__1533115172420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-17-13-57+0800__CAM_BACK__1533115172437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-17-13-57+0800__CAM_BACK_LEFT__1533115172447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-17-13-57+0800__CAM_BACK_RIGHT__1533115172427893.jpg"
    }
  },
  {
    "scene_token": "c0d3796765e2452d990309b2568adac5",
    "frame_token": "464a82c88b4a420a9639cca247918a7c",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.2432,0.4972> under colorquant conditions?",
    "answer": "Accelerating and going straight can lead to a collision with <c1,CAM_FRONT,0.2432,0.4972>.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-17-13-57+0800__CAM_FRONT__1533115172412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-17-13-57+0800__CAM_FRONT_LEFT__1533115172404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-17-13-57+0800__CAM_FRONT_RIGHT__1533115172420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-17-13-57+0800__CAM_BACK__1533115172437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-17-13-57+0800__CAM_BACK_LEFT__1533115172447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-17-13-57+0800__CAM_BACK_RIGHT__1533115172427893.jpg"
    }
  },
  {
    "scene_token": "c0d3796765e2452d990309b2568adac5",
    "frame_token": "464a82c88b4a420a9639cca247918a7c",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant conditions, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed and turn right.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-17-13-57+0800__CAM_FRONT__1533115172412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-17-13-57+0800__CAM_FRONT_LEFT__1533115172404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-17-13-57+0800__CAM_FRONT_RIGHT__1533115172420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-17-13-57+0800__CAM_BACK__1533115172437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-17-13-57+0800__CAM_BACK_LEFT__1533115172447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-17-13-57+0800__CAM_BACK_RIGHT__1533115172427893.jpg"
    }
  },
  {
    "scene_token": "c0d3796765e2452d990309b2568adac5",
    "frame_token": "464a82c88b4a420a9639cca247918a7c",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant conditions. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant conditions, making the colors appear distorted and less distinct. In front of the ego vehicle, there is a white truck moving to the right at coordinates <c1,CAM_FRONT,0.2432,0.4972>. Behind the ego vehicle, a person wearing yellow clothes is moving at coordinates <c2,CAM_BACK,0.8771,0.6000>, and a gray SUV is also moving at coordinates <c3,CAM_BACK,0.5734,0.6278>. To the front right, another person wearing yellow clothes is moving at coordinates <c4,CAM_FRONT_RIGHT,0.3901,0.6241>. The environment is urban, with buildings and trees visible, but the colorquant effect makes it challenging to distinguish finer details.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-08-01-17-13-57+0800__CAM_FRONT__1533115172412460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-08-01-17-13-57+0800__CAM_FRONT_LEFT__1533115172404844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-08-01-17-13-57+0800__CAM_FRONT_RIGHT__1533115172420339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-08-01-17-13-57+0800__CAM_BACK__1533115172437525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-08-01-17-13-57+0800__CAM_BACK_LEFT__1533115172447423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-08-01-17-13-57+0800__CAM_BACK_RIGHT__1533115172427893.jpg"
    }
  },
  {
    "scene_token": "e12dee10fe2545e4ab88459ed4268bc6",
    "frame_token": "f0efd0739e564fa69c2802faaba20a78",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Sensor failure. B. Color quant. C. Zoom blur. D. Fog",
    "answer": "B. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193513512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193513504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193513520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193513537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193513547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193513527893.jpg"
    }
  },
  {
    "scene_token": "e12dee10fe2545e4ab88459ed4268bc6",
    "frame_token": "f0efd0739e564fa69c2802faaba20a78",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a white truck to the front of the ego vehicle, a pedestrian in black short sleeves to the front of the ego vehicle, a pedestrian wearing a white shirt to the front left of the ego vehicle, and a sedan to the back of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.5125,0.5111>, <c2,CAM_FRONT,0.6771,0.6297>, <c3,CAM_FRONT_LEFT,0.8594,0.6213>, and <c4,CAM_BACK,0.7224,0.5380>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193513512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193513504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193513520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193513537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193513547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193513527893.jpg"
    }
  },
  {
    "scene_token": "e12dee10fe2545e4ab88459ed4268bc6",
    "frame_token": "f0efd0739e564fa69c2802faaba20a78",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.5125,0.5111> under colorquant corruption? Please select the correct answer from the following options: A. Turn left. B. Turn right. C. Going ahead.",
    "answer": "B, Explanation: The object is a white truck moving to the right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193513512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193513504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193513520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193513537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193513547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193513527893.jpg"
    }
  },
  {
    "scene_token": "e12dee10fe2545e4ab88459ed4268bc6",
    "frame_token": "f0efd0739e564fa69c2802faaba20a78",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.5125,0.5111> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a white truck, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193513512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193513504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193513520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193513537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193513547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193513527893.jpg"
    }
  },
  {
    "scene_token": "e12dee10fe2545e4ab88459ed4268bc6",
    "frame_token": "f0efd0739e564fa69c2802faaba20a78",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant corruption, what are safe actions to take for the ego vehicle?",
    "answer": "Keep going at the same speed, decelerate gradually without braking.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193513512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193513504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193513520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193513537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193513547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193513527893.jpg"
    }
  },
  {
    "scene_token": "e12dee10fe2545e4ab88459ed4268bc6",
    "frame_token": "f0efd0739e564fa69c2802faaba20a78",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.5125,0.5111> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to decelerate gradually without braking. The reason for taking this action is to avoid a collision. The probability of this action is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193513512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193513504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193513520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193513537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193513547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193513527893.jpg"
    }
  },
  {
    "scene_token": "e12dee10fe2545e4ab88459ed4268bc6",
    "frame_token": "f0efd0739e564fa69c2802faaba20a78",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, making it challenging to perceive colors accurately. A white truck is moving to the front of the ego vehicle at coordinates <c1,CAM_FRONT,0.5125,0.5111>. A pedestrian in black short sleeves is also moving in front of the vehicle at <c2,CAM_FRONT,0.6771,0.6297>. Another pedestrian wearing a white shirt is to the front left at <c3,CAM_FRONT_LEFT,0.8594,0.6213>. Behind the ego vehicle, there is a stationary sedan at <c4,CAM_BACK,0.7224,0.5380>. The overall visibility is reduced, requiring careful navigation.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-11-14-18-57-54+0800__CAM_FRONT__1542193513512460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_LEFT__1542193513504844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_FRONT_RIGHT__1542193513520339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-11-14-18-57-54+0800__CAM_BACK__1542193513537525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-11-14-18-57-54+0800__CAM_BACK_LEFT__1542193513547423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-11-14-18-57-54+0800__CAM_BACK_RIGHT__1542193513527893.jpg"
    }
  },
  {
    "scene_token": "748894952b00431186308b387c2f424c",
    "frame_token": "672c08701df6465bb5259c60717309fb",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Motion blur. C. Bright. D. Rain",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-16-03-24+0800__CAM_FRONT__1538986179262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_LEFT__1538986179254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_RIGHT__1538986179270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-16-03-24+0800__CAM_BACK__1538986179287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-16-03-24+0800__CAM_BACK_LEFT__1538986179297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_BACK_RIGHT__1538986179277893.jpg"
    }
  },
  {
    "scene_token": "748894952b00431186308b387c2f424c",
    "frame_token": "672c08701df6465bb5259c60717309fb",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT_RIGHT,0.5466,0.7209> under colorquant corruption? Please select the correct answer from the following options: A. Turn right. B. Turn left. C. Going ahead.",
    "answer": "A, Explanation: The object is a black car moving to the right, and the colorquant corruption does not affect its direction.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-16-03-24+0800__CAM_FRONT__1538986179262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_LEFT__1538986179254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_RIGHT__1538986179270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-16-03-24+0800__CAM_BACK__1538986179287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-16-03-24+0800__CAM_BACK_LEFT__1538986179297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_BACK_RIGHT__1538986179277893.jpg"
    }
  },
  {
    "scene_token": "748894952b00431186308b387c2f424c",
    "frame_token": "672c08701df6465bb5259c60717309fb",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant corruption? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black car to the front right of the ego vehicle, a gray sedan to the front of the ego vehicle, an orange car to the back of the ego vehicle, a person riding a bike to the front left of the ego vehicle, and a person riding a bike to the front left of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT_RIGHT,0.5466,0.7209>, <c2,CAM_FRONT,0.4207,0.6254>, <c3,CAM_BACK,0.4863,0.6850>, <c4,CAM_FRONT_LEFT,0.1151,0.5426>, and <c5,CAM_FRONT_LEFT,0.7604,0.5469>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-16-03-24+0800__CAM_FRONT__1538986179262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_LEFT__1538986179254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_RIGHT__1538986179270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-16-03-24+0800__CAM_BACK__1538986179287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-16-03-24+0800__CAM_BACK_LEFT__1538986179297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_BACK_RIGHT__1538986179277893.jpg"
    }
  },
  {
    "scene_token": "748894952b00431186308b387c2f424c",
    "frame_token": "672c08701df6465bb5259c60717309fb",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT_RIGHT,0.5466,0.7209> a traffic sign or a road barrier under colorquant corruption?",
    "answer": "No, Explanation: The object is a black car, not a traffic sign or road barrier, and colorquant corruption does not change its category.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-16-03-24+0800__CAM_FRONT__1538986179262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_LEFT__1538986179254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_RIGHT__1538986179270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-16-03-24+0800__CAM_BACK__1538986179287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-16-03-24+0800__CAM_BACK_LEFT__1538986179297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_BACK_RIGHT__1538986179277893.jpg"
    }
  },
  {
    "scene_token": "748894952b00431186308b387c2f424c",
    "frame_token": "672c08701df6465bb5259c60717309fb",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT_RIGHT,0.5466,0.7209> under colorquant corruption? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is to avoid a collision, which is high probability.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-16-03-24+0800__CAM_FRONT__1538986179262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_LEFT__1538986179254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_RIGHT__1538986179270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-16-03-24+0800__CAM_BACK__1538986179287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-16-03-24+0800__CAM_BACK_LEFT__1538986179297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_BACK_RIGHT__1538986179277893.jpg"
    }
  },
  {
    "scene_token": "748894952b00431186308b387c2f424c",
    "frame_token": "672c08701df6465bb5259c60717309fb",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT_RIGHT,0.5466,0.7209> under colorquant corruption?",
    "answer": "Slight right turn.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-16-03-24+0800__CAM_FRONT__1538986179262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_LEFT__1538986179254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_RIGHT__1538986179270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-16-03-24+0800__CAM_BACK__1538986179287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-16-03-24+0800__CAM_BACK_LEFT__1538986179297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_BACK_RIGHT__1538986179277893.jpg"
    }
  },
  {
    "scene_token": "748894952b00431186308b387c2f424c",
    "frame_token": "672c08701df6465bb5259c60717309fb",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant corruption. Include both general description and key objects and their positions.",
    "answer": "The environment is affected by colorquant corruption, which alters the color representation of the scene. Despite this, key objects are identifiable: a black car is moving to the front right (0.5466, 0.7209), a gray sedan is directly ahead (0.4207, 0.6254), and an orange car is behind (0.4863, 0.6850). Additionally, two cyclists are moving to the front left (0.1151, 0.5426 and 0.7604, 0.5469). The road and surrounding vegetation appear darker and less detailed due to the corruption.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-10-08-16-03-24+0800__CAM_FRONT__1538986179262460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_LEFT__1538986179254844.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_FRONT_RIGHT__1538986179270339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-10-08-16-03-24+0800__CAM_BACK__1538986179287525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-10-08-16-03-24+0800__CAM_BACK_LEFT__1538986179297423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-10-08-16-03-24+0800__CAM_BACK_RIGHT__1538986179277893.jpg"
    }
  },
  {
    "scene_token": "5a2aac9df32945d183fc81924ff148b6",
    "frame_token": "e21a3e9416d54b8ab488395510f4512d",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Saturate. B. Sensor failure. C. H256 ABR compression. D. Color quant",
    "answer": "D. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-26-11-17-24+0800__CAM_FRONT__1537932330912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_LEFT__1537932330904846.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_RIGHT__1537932330920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-26-11-17-24+0800__CAM_BACK__1537932330937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-26-11-17-24+0800__CAM_BACK_LEFT__1537932330947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_BACK_RIGHT__1537932330927893.jpg"
    }
  },
  {
    "scene_token": "5a2aac9df32945d183fc81924ff148b6",
    "frame_token": "e21a3e9416d54b8ab488395510f4512d",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c2,CAM_BACK,0.4636,0.6241> under colorquant conditions? Please select the correct answer from the following options: A. Going ahead. B. Turn right. C. Turn left.",
    "answer": "B, Explanation: The object is a silver sedan, and it is turning right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-26-11-17-24+0800__CAM_FRONT__1537932330912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_LEFT__1537932330904846.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_RIGHT__1537932330920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-26-11-17-24+0800__CAM_BACK__1537932330937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-26-11-17-24+0800__CAM_BACK_LEFT__1537932330947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_BACK_RIGHT__1537932330927893.jpg"
    }
  },
  {
    "scene_token": "5a2aac9df32945d183fc81924ff148b6",
    "frame_token": "e21a3e9416d54b8ab488395510f4512d",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene considering the colorquant effect? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a silver truck to the front of the ego vehicle, a silver sedan to the back of the ego vehicle, and a pedestrian wearing a helmet to the front left of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.2594,0.5574>, <c2,CAM_BACK,0.4636,0.6241>, and <c3,CAM_FRONT_LEFT,0.3614,0.6314>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-26-11-17-24+0800__CAM_FRONT__1537932330912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_LEFT__1537932330904846.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_RIGHT__1537932330920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-26-11-17-24+0800__CAM_BACK__1537932330937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-26-11-17-24+0800__CAM_BACK_LEFT__1537932330947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_BACK_RIGHT__1537932330927893.jpg"
    }
  },
  {
    "scene_token": "5a2aac9df32945d183fc81924ff148b6",
    "frame_token": "e21a3e9416d54b8ab488395510f4512d",
    "question_type": "robust_qas",
    "question": "What object should the ego vehicle notice first when the ego vehicle is getting to the next possible location under colorquant conditions? What is the state of the object that is first noticed by the ego vehicle and what action should the ego vehicle take? What object should the ego vehicle notice second when the ego vehicle is getting to the next possible location? What is the state of the object perceived by the ego vehicle as second and what action should the ego vehicle take? What object should the ego vehicle notice third? What is the state of the object perceived by the ego vehicle as third and what action should the ego vehicle take?",
    "answer": "Firstly, notice that pedestrian wearing a helmet at left camera. The object is stationary, so the ego vehicle should continue ahead at the same speed. Secondly, notice that silver truck at front camera. The object is stationary, so the ego vehicle should continue ahead at the same speed. Thirdly, notice that silver sedan at back camera. The object is turning right, so the ego vehicle should continue ahead at the same speed.",
    "tag": [
      3
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-26-11-17-24+0800__CAM_FRONT__1537932330912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_LEFT__1537932330904846.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_RIGHT__1537932330920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-26-11-17-24+0800__CAM_BACK__1537932330937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-26-11-17-24+0800__CAM_BACK_LEFT__1537932330947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_BACK_RIGHT__1537932330927893.jpg"
    }
  },
  {
    "scene_token": "5a2aac9df32945d183fc81924ff148b6",
    "frame_token": "e21a3e9416d54b8ab488395510f4512d",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.2594,0.5574> a traffic sign or a road barrier under colorquant conditions?",
    "answer": "No, Explanation: The object is a silver truck, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-26-11-17-24+0800__CAM_FRONT__1537932330912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_LEFT__1537932330904846.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_RIGHT__1537932330920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-26-11-17-24+0800__CAM_BACK__1537932330937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-26-11-17-24+0800__CAM_BACK_LEFT__1537932330947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_BACK_RIGHT__1537932330927893.jpg"
    }
  },
  {
    "scene_token": "5a2aac9df32945d183fc81924ff148b6",
    "frame_token": "e21a3e9416d54b8ab488395510f4512d",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c1,CAM_FRONT,0.2594,0.5574> under colorquant conditions?",
    "answer": "Slight left turn.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-26-11-17-24+0800__CAM_FRONT__1537932330912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_LEFT__1537932330904846.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_RIGHT__1537932330920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-26-11-17-24+0800__CAM_BACK__1537932330937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-26-11-17-24+0800__CAM_BACK_LEFT__1537932330947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_BACK_RIGHT__1537932330927893.jpg"
    }
  },
  {
    "scene_token": "5a2aac9df32945d183fc81924ff148b6",
    "frame_token": "e21a3e9416d54b8ab488395510f4512d",
    "question_type": "robust_qas",
    "question": "What actions could the ego vehicle take based on <c1,CAM_FRONT,0.2594,0.5574> under colorquant conditions? Why take this action and what's the probability?",
    "answer": "The action is to keep going at the same speed. The reason is that there is no safety issue, and the probability is high.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-26-11-17-24+0800__CAM_FRONT__1537932330912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_LEFT__1537932330904846.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_RIGHT__1537932330920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-26-11-17-24+0800__CAM_BACK__1537932330937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-26-11-17-24+0800__CAM_BACK_LEFT__1537932330947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_BACK_RIGHT__1537932330927893.jpg"
    }
  },
  {
    "scene_token": "5a2aac9df32945d183fc81924ff148b6",
    "frame_token": "e21a3e9416d54b8ab488395510f4512d",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant conditions. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant, which alters the color representation, making it challenging to distinguish objects. In the front view, a stationary silver truck is located at coordinates <c1,CAM_FRONT,0.2594,0.5574>. To the back, a silver sedan is moving and turning right at coordinates <c2,CAM_BACK,0.4636,0.6241>. On the front left, a pedestrian wearing a helmet is stationary at coordinates <c3,CAM_FRONT_LEFT,0.3614,0.6314>. The environment includes trees and buildings, with the road appearing less distinct due to the colorquant effect.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n015-2018-09-26-11-17-24+0800__CAM_FRONT__1537932330912460.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_LEFT__1537932330904846.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_FRONT_RIGHT__1537932330920339.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n015-2018-09-26-11-17-24+0800__CAM_BACK__1537932330937525.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n015-2018-09-26-11-17-24+0800__CAM_BACK_LEFT__1537932330947423.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n015-2018-09-26-11-17-24+0800__CAM_BACK_RIGHT__1537932330927893.jpg"
    }
  },
  {
    "scene_token": "ef5f945852e84fcc88cab506746a6636",
    "frame_token": "cddb14d9c36243f3b05dcb330a3bbd3a",
    "question_type": "robust_qas",
    "question": "What is the current type of corruption?: A. Color quant. B. Bit error. C. Motion blur. D. H256 ABR compression",
    "answer": "A. Color quant",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535573823862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535573823854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535573823870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535573823887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535573823897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535573823878113.jpg"
    }
  },
  {
    "scene_token": "ef5f945852e84fcc88cab506746a6636",
    "frame_token": "cddb14d9c36243f3b05dcb330a3bbd3a",
    "question_type": "robust_qas",
    "question": "What is the moving status of object <c1,CAM_FRONT,0.8917,0.6259> under colorquant conditions? Please select the correct answer from the following options: A. Turn right. B. Going ahead. C. Turn left.",
    "answer": "A, Explanation: The object is a black car moving to the right.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535573823862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535573823854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535573823870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535573823887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535573823897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535573823878113.jpg"
    }
  },
  {
    "scene_token": "ef5f945852e84fcc88cab506746a6636",
    "frame_token": "cddb14d9c36243f3b05dcb330a3bbd3a",
    "question_type": "robust_qas",
    "question": "What are the important objects in the current scene under colorquant conditions? Those objects will be considered for the future reasoning and driving decision.",
    "answer": "There is a black car to the front of the ego vehicle, a white sedan to the front of the ego vehicle, a gray sedan to the back of the ego vehicle, a grey SUV to the front right of the ego vehicle, a white commercial vehicle to the front right of the ego vehicle, and a red light to the front of the ego vehicle. The IDs of these objects are <c1,CAM_FRONT,0.8917,0.6259>, <c2,CAM_FRONT,0.5047,0.5519>, <c3,CAM_BACK,0.5086,0.6950>, <c4,CAM_FRONT_RIGHT,0.4505,0.6547>, <c5,CAM_FRONT_RIGHT,0.6284,0.6532>, and <c6,CAM_FRONT,0.5366,0.3534>.",
    "tag": [
      2
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535573823862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535573823854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535573823870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535573823887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535573823897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535573823878113.jpg"
    }
  },
  {
    "scene_token": "ef5f945852e84fcc88cab506746a6636",
    "frame_token": "cddb14d9c36243f3b05dcb330a3bbd3a",
    "question_type": "robust_qas",
    "question": "Is <c1,CAM_FRONT,0.8917,0.6259> a traffic sign or a road barrier under colorquant conditions?",
    "answer": "No, Explanation: The object is a black car, not a traffic sign or road barrier.",
    "tag": [
      0
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535573823862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535573823854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535573823870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535573823887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535573823897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535573823878113.jpg"
    }
  },
  {
    "scene_token": "ef5f945852e84fcc88cab506746a6636",
    "frame_token": "cddb14d9c36243f3b05dcb330a3bbd3a",
    "question_type": "robust_qas",
    "question": "What actions taken by the ego vehicle can lead to a collision with <c2,CAM_FRONT,0.5047,0.5519> under colorquant conditions?",
    "answer": "Accelerate and go straight.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535573823862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535573823854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535573823870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535573823887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535573823897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535573823878113.jpg"
    }
  },
  {
    "scene_token": "ef5f945852e84fcc88cab506746a6636",
    "frame_token": "cddb14d9c36243f3b05dcb330a3bbd3a",
    "question_type": "robust_qas",
    "question": "In this scenario under colorquant conditions, what are safe actions to take for the ego vehicle?",
    "answer": "Brake suddenly, brake gently to a stop.",
    "tag": [
      1
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535573823862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535573823854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535573823870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535573823887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535573823897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535573823878113.jpg"
    }
  },
  {
    "scene_token": "ef5f945852e84fcc88cab506746a6636",
    "frame_token": "cddb14d9c36243f3b05dcb330a3bbd3a",
    "question_type": "robust_qas",
    "question": "Describe the current environment under colorquant conditions. Include both general description and key objects and their positions.",
    "answer": "The scene is affected by colorquant conditions, causing a reduction in color detail and contrast. A black car is moving ahead at coordinates <c1,CAM_FRONT,0.8917,0.6259>. A white sedan is stationary in front of the ego vehicle at <c2,CAM_FRONT,0.5047,0.5519>. Behind the ego vehicle, a gray sedan is stationary at <c3,CAM_BACK,0.5086,0.6950>. To the front right, a grey SUV is stationary at <c4,CAM_FRONT_RIGHT,0.4505,0.6547>, and a white commercial vehicle is at <c5,CAM_FRONT_RIGHT,0.6284,0.6532>. A red traffic light is visible at <c6,CAM_FRONT,0.5366,0.3534>, indicating a stop signal.",
    "tag": [
      4
    ],
    "image_path": {
      "CAM_FRONT": "./ColorQuant/CAM_FRONT/n008-2018-08-29-16-04-13-0400__CAM_FRONT__1535573823862404.jpg",
      "CAM_FRONT_LEFT": "./ColorQuant/CAM_FRONT_LEFT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_LEFT__1535573823854799.jpg",
      "CAM_FRONT_RIGHT": "./ColorQuant/CAM_FRONT_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_FRONT_RIGHT__1535573823870482.jpg",
      "CAM_BACK": "./ColorQuant/CAM_BACK/n008-2018-08-29-16-04-13-0400__CAM_BACK__1535573823887558.jpg",
      "CAM_BACK_LEFT": "./ColorQuant/CAM_BACK_LEFT/n008-2018-08-29-16-04-13-0400__CAM_BACK_LEFT__1535573823897405.jpg",
      "CAM_BACK_RIGHT": "./ColorQuant/CAM_BACK_RIGHT/n008-2018-08-29-16-04-13-0400__CAM_BACK_RIGHT__1535573823878113.jpg"
    }
  }
]