2024-12-09 LLM2CLIP Labelling system

TODO:

1. Must save image embeddings into pickle file

2. Must save distances to all of these subcategories

3. When clear which category to use then we can weed out all unneeded categories. Maybe combination of categories is needed.

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1
{
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  "camera_type": [
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    "infrared camera",
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    "thermal camera",
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    "night vision camera",
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    "thermal imaging camera",
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    "infrared imaging camera",    
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    "aerial footage",
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    "satellite footage",
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    "drone footage",
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    "aerial video",
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    "satellite video",
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    "drone video",
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    "first person video",
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    "video on the ground",
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    "video from the sky",
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    "video from the ground",
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    "video from the air",
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    "video from the sea",
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    "video from the land",
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    "video from a helicopter",
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    "video from a plane",
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    "video from a building",
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    "video from a vehicle",
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    "video from a boat",
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    "video from a submarine",
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    "video from a mountain",
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    "video from a hill",
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    "video from a tower",
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    "video from a bridge",
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    "video from a tunnel",
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    "video from a cave",
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    "video from a trench",
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    "video from a bunker",
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    "video from a fortification",
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    "video from a city street",
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    "video from a highway",
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    "video from a rural road",
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    "video from a forest path",
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    "video from a desert trail",
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    "video from a beach",
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    "video from a river",
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    "video from a lake",
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    "video from an ocean",
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  ],
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  "location_type": [
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    "indoors",
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    "in the building",
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    "in the city",
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    "in the nature",
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    "outdoors city",
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    "outdoors nature",
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    "in the forest",
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    "in the mountains",
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    "in the desert",
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    "in the sea",
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    "in the sky",
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    "in the trench",
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    "inside vehicle",
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    "inside car",
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    "inside building",
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    "on the street",
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    "in an alley",
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    "in a park",
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    "in a plaza",
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    "on a rooftop",
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    "in a parking lot",
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    "at a checkpoint",
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    "near a barricade",
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    "in a bombed out building",
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    "in a fortified position",
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    "in an urban warfare training facility",
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    "in a city under siege",
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    "in a war-torn neighborhood",
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    "near a destroyed bridge",
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    "in an abandoned factory",
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    "in a high-rise building",
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    "in a subway station",
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    "on an overpass",
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    "in a collapsed tunnel",
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  ],
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  "object_type": [
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    "vehicle",
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    "car",
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    "tank",
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    "armored personnel carrier",
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    "infantry fighting vehicle",
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    "self-propelled artillery",
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    "multiple launch rocket system",
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    "drone",
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    "airplane",
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    "helicopter",
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    "fighter jet",
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    "bomber",
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    "aircraft",
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    "plane",
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    "boat",
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    "ship",
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    "submarine",
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    "building",    
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    "vehicle, car or tank",
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    "plane or drone",
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    "boat or ship",
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    "building or scenery, without vehicles",   
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    "explosive device",
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    "bullet",
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    "gun",
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    "rocket",
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    "missile",
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    "bomb",
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    "grenade",
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    "rifle",
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    "machine gun",
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    "shotgun",
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    "pistol",
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    "handgun",
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    "revolver",
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  ],
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  "activity_type": [
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    "military activity",
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    "civilian activity",
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    "military",
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    "civilian",    
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    "fighting",
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    "burning",
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    "explosion",
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    "fire",
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    "smoke",
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    "explosion",
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    "destruction",
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    "combat",
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    "warfare",
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    "battle",
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    "skirmish",
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    "firefight",
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    "engagement",
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    "assault",
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    "attack",
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    "ambush",
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    "raid",
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    "military operation",
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    "interview",
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    "kids playing",
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    "humanitarian aid distribution",
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    "reconstruction efforts",
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    "medical assistance",
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    "evacuation of civilians",
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    "journalists reporting",
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    "civilians fleeing conflict",
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    "refugees seeking shelter",
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    "diplomatic negotiations",
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    "ceasefire agreement",
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    "peacekeeping mission",
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    "diplomats meeting",
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  ],
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  "presence_of_people": [
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    "no people visible",
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    "only vehicles visible", 
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    "only buildings visible",
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    "only landscape visible",
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    "only rubble visible",
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    "only debris visible",
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    "only destroyed structures visible",
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    "only abandoned buildings visible",
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    "only empty streets visible",
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    "only deserted area visible",
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    "people in the distance",
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    "people in the foreground",
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    "people in the background",
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    "crowd of people",
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    "large group of people",
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    "small group of people",
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    "person",
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    "single person",
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    "multiple people",
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    "man",
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    "woman",
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    "child",
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    "elderly person",
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    "baby",
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    "soldier",
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    "civilian",
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    "journalist",
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    "aid worker",
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    "face visible",
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    "faces visible",
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    "close-up of face",
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    "side view of face",
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    "animal",
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    "dog"
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  ],
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  "time_of_day": [
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    "daytime",
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    "nighttime",
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    "day",
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    "night",
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    "morning",
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    "afternoon",
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    "evening",
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    "sunrise",
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    "sunset",
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    "dawn",
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    "dusk"
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  ],
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  "season": [
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    "winter",
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    "summer",
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    "spring",
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    "fall",
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    "autumn",
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    "springtime",
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    "summertime",
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    "falltime",
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    "autumtime",
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    "wintertime",
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  ]
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}