LLM_Embeddings / reference_words.py
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"""Reference words for the shared prompt map: 8 groups x 40 common English words."""
REFERENCE_WORDS = {
"animals": [
"dog", "cat", "horse", "cow", "pig", "sheep", "goat", "chicken", "duck", "rabbit",
"mouse", "rat", "lion", "tiger", "elephant", "giraffe", "zebra", "monkey", "bear", "wolf",
"fox", "deer", "squirrel", "owl", "eagle", "parrot", "penguin", "dolphin", "whale", "shark",
"octopus", "frog", "snake", "turtle", "crocodile", "butterfly", "bee", "ant", "spider", "camel",
],
"food & drink": [
"bread", "cheese", "butter", "egg", "milk", "rice", "pasta", "pizza", "soup", "salad",
"apple", "banana", "lemon", "strawberry", "grape", "tomato", "potato", "carrot", "onion", "garlic",
"steak", "sausage", "sugar", "salt", "pepper", "honey", "chocolate", "cake", "cookie", "coffee",
"tea", "juice", "beer", "wine", "lemonade", "sandwich", "burger", "noodles", "yogurt", "pancake",
],
"emotions": [
"happy", "sad", "angry", "afraid", "joy", "fear", "anger", "sorrow", "love", "hate",
"jealous", "proud", "ashamed", "guilty", "lonely", "bored", "excited", "nervous", "anxious", "calm",
"relaxed", "surprised", "disgusted", "grateful", "hopeful", "curious", "confused", "frustrated",
"embarrassed", "satisfied", "cheerful", "gloomy", "furious", "delighted", "worried", "peaceful",
"stressed", "thrilled", "nostalgic", "envious",
],
"nature & weather": [
"rain", "snow", "wind", "storm", "thunder", "lightning", "cloud", "fog", "sunshine", "rainbow",
"hail", "frost", "ice", "heat", "tree", "forest", "flower", "grass", "leaf", "river",
"lake", "ocean", "mountain", "valley", "desert", "island", "beach", "waterfall", "volcano", "cave",
"rock", "sand", "sky", "moon", "star", "sun", "autumn", "winter", "spring", "summer",
],
"home": [
"lamp", "lightbulb", "sofa", "chair", "table", "bed", "pillow", "blanket", "curtain", "window",
"door", "kitchen", "bathroom", "bedroom", "fridge", "oven", "stove", "microwave", "dishwasher",
"kettle", "toaster", "heater", "radiator", "thermostat", "fan", "vacuum", "shower", "bathtub",
"sink", "mirror", "carpet", "shelf", "wardrobe", "doorbell", "lock", "key", "garden", "garage",
"balcony", "stairs",
],
"technology": [
"computer", "laptop", "smartphone", "tablet", "keyboard", "monitor", "printer", "camera",
"headphones", "speaker", "microphone", "router", "internet", "website", "software", "app",
"algorithm", "database", "server", "password", "email", "battery", "charger", "cable", "robot",
"drone", "sensor", "chip", "processor", "code", "programming", "data", "network", "wifi",
"bluetooth", "download", "upload", "browser", "chatbot", "satellite",
],
"art & design": [
"painting", "drawing", "sketch", "sculpture", "photograph", "poster", "typography", "font", "logo",
"illustration", "canvas", "brush", "pencil", "ink", "palette", "pattern", "texture", "composition",
"contrast", "gallery", "museum", "artist", "designer", "architecture", "fashion", "collage",
"portrait", "animation", "graphic", "layout", "sketchbook", "watercolor", "ceramics", "printmaking",
"exhibition", "mural", "calligraphy", "prototype", "sculptor", "easel",
],
"travel & transport": [
"car", "bus", "train", "tram", "bicycle", "motorcycle", "truck", "taxi", "airplane", "helicopter",
"ship", "boat", "ferry", "subway", "scooter", "rocket", "airport", "station", "harbor", "highway",
"road", "bridge", "tunnel", "ticket", "passport", "suitcase", "luggage", "hotel", "tourist",
"journey", "vacation", "map", "traffic", "parking", "fuel", "driver", "pilot", "passenger",
"border", "backpack",
],
}