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1,751,295,306.289 | clustering | leftvote | [
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1,735,881,028.3917 | clustering | rightvote | [
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1,735,881,103.9453 | clustering | leftvote | [
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"Monopoly",
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] | 4 | 3D (press for 2D) | PCA | KMeans | |||
1,735,933,264.0071 | clustering | rightvote | [
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1,722,263,906.0355 | clustering | tievote | [
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"Yoda",
"Slugma",
"Gandalf",
"Legolas"
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] | 3 | 3D (press for 2D) | PCA | KMeans | |||
1,723,773,356.776 | clustering | rightvote | [
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"Darth Vader",
"Yoda",
"Squirtle",
"Gandalf",
"Legolas",
"Mickey Mouse",
"Donald Duck",
"Charizard"
] | 2 | 3D (press for 2D) | PCA | KMeans | 50788a7548b34a43ba518321a7c900a7 | nomic-ai/nomic-embed-text-v1.5 | [
"the major city in US",
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] | 2 | 3D (press for 2D) | PCA | KMeans | |||
1,723,773,582.4108 | clustering | leftvote | [
"",
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... | 5 | 3D (press for 2D) | PCA | KMeans | 353d690256994441a1b2e7f8c1777b52 | BAAI/bge-large-en-v1.5 | [
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... | 5 | 3D (press for 2D) | PCA | KMeans | |||
1,723,791,451.7309 | clustering | rightvote | [
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"AWS",
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"anchoring bias",
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"confirmation bias",
"dunning-krug... | 5 | 3D (press for 2D) | PCA | KMeans | 3f1a9b58bfff4fb38c727bdacaa7a7f9 | BAAI/bge-large-en-v1.5 | [
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"dunning-krug... | 5 | 3D (press for 2D) | PCA | KMeans | |||
1,722,281,965.6179 | clustering | tievote | [
"",
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] | 5accf948c7ac40c89eeb322a4e13bf62 | intfloat/e5-mistral-7b-instruct | [
"Shanghai",
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] | 2 | 3D (press for 2D) | PCA | KMeans | 44a299f8e8f74b61a7800197c1b479ab | intfloat/multilingual-e5-large-instruct | [
"Shanghai",
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] | 2 | 3D (press for 2D) | PCA | KMeans | |||
1,722,282,005.3598 | clustering | tievote | [
"",
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] | f8293714822c4dd3a8248660500f9035 | intfloat/e5-mistral-7b-instruct | [
"Pikachu",
"Darth Vader",
"Yoda",
"Squirtle",
"Gandalf",
"Legolas",
"Mickey Mouse",
"Donald Duck",
"Charizard"
] | 4 | 3D (press for 2D) | PCA | KMeans | 336180d1bf524d83a68ce1cc38470459 | voyage-multilingual-2 | [
"Pikachu",
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"Donald Duck",
"Charizard"
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1,722,282,151.7917 | clustering | leftvote | [
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"David Lang - Justs (After the Song of Songs)",
"Tips to live desire life wi... | 3 | 3D (press for 2D) | PCA | KMeans | 1636fa4a9c774083b13a62e6f18461cc | voyage-multilingual-2 | [
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"What instrument should I learn?",
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"Tips to live desire life wi... | 3 | 3D (press for 2D) | PCA | KMeans | |||
1,722,281,821.2839 | clustering | rightvote | [
"",
""
] | d20f08ce773f4046a5db3a1242607917 | mixedbread-ai/mxbai-embed-large-v1 | [
"Shanghai",
"Beijing",
"Shenzhen",
"Hangzhou",
"Seattle",
"Boston",
"New York",
"San Francisco"
] | 2 | 3D (press for 2D) | PCA | KMeans | 5a39b6d2ca964e049316b552f24f013d | voyage-multilingual-2 | [
"Shanghai",
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"Hangzhou",
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"San Francisco"
] | 2 | 3D (press for 2D) | PCA | KMeans | |||
1,740,227,700.0884 | clustering | rightvote | [
"",
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] | 093eab84afa74ca8ab9fe93f90591db0 | BAAI/bge-large-en-v1.5 | [
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"livestock",
"vegetable",
"cumulus",
"stratus",
"cirrus",
"convex",
"parabolic",
"plane"
] | 3 | 3D (press for 2D) | PCA | KMeans | ec8c84186269496c92fd6d2f35fe16d5 | Salesforce/SFR-Embedding-2_R | [
"crop",
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"cumulus",
"stratus",
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"convex",
"parabolic",
"plane"
] | 3 | 3D (press for 2D) | PCA | KMeans | |||
1,740,227,741.1041 | clustering | leftvote | [
"",
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] | 168e3c9d31c840f194e30d57cbef4d6a | jinaai/jina-embeddings-v2-base-en | [
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"bistro",
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"steakhouse",
"Colossus of Rhodes",
"Lighthouse of Alexandria",
"Mausoleum at Halicarnassus",
"Hanging Gardens of Babylon",
"Statue of Zeus",... | 4 | 3D (press for 2D) | PCA | KMeans | e9adfe922df24e878a9c2cb599ff1d6b | text-embedding-3-large | [
"linen",
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"Colossus of Rhodes",
"Lighthouse of Alexandria",
"Mausoleum at Halicarnassus",
"Hanging Gardens of Babylon",
"Statue of Zeus",... | 4 | 3D (press for 2D) | PCA | KMeans | |||
1,740,227,756.1749 | clustering | leftvote | [
"",
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] | d455f49325c24192a53db327b10cf8d3 | GritLM/GritLM-7B | [
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"KFC",
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"Leo",
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"Virgo",
"Cancer",
"German Shepherd",
"Beagle",
"Bulldog",
"ruby",
"emerald",
"diamond",
"sapphire",
"amethyst"
] | 5 | 3D (press for 2D) | PCA | KMeans | 259648d8d29245e1914dd5dfa4f646e8 | text-embedding-3-large | [
"salmon",
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"German Shepherd",
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"Bulldog",
"ruby",
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"amethyst"
] | 5 | 3D (press for 2D) | PCA | KMeans | |||
1,740,227,769.859 | clustering | rightvote | [
"",
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] | 3918469e67544b1ea958c10fc1992afd | GritLM/GritLM-7B | [
"orange",
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"apple",
"mango",
"Europe",
"North America",
"South America",
"Australia",
"Purkinje",
"motor",
"sensory",
"interneuron"
] | 4 | 3D (press for 2D) | PCA | KMeans | 20e16e3b9cc04b208a999433ad088b1d | jinaai/jina-embeddings-v2-base-en | [
"orange",
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] | 4 | 3D (press for 2D) | PCA | KMeans | |||
1,740,227,783.5084 | clustering | leftvote | [
"",
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] | b7f91ce70acb4dcfba843d5e1f9ce249 | Alibaba-NLP/gte-Qwen2-7B-instruct | [
"metamorphic",
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"penne",
"lasagna",
"fettuccine",
"Renaissance",
"Cubism",
"Abstract Expressionism",
"Surrealism"
] | 3 | 3D (press for 2D) | PCA | KMeans | f0c25ad7a13e4c779af827e310153940 | sentence-transformers/all-MiniLM-L6-v2 | [
"metamorphic",
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"Renaissance",
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] | 3 | 3D (press for 2D) | PCA | KMeans | |||
1,740,227,835.4044 | clustering | rightvote | [
"",
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] | 27a22233455d469fa6165b46a064b143 | Alibaba-NLP/gte-Qwen2-7B-instruct | [
"black",
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"mocha",
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"macchiato",
"Taurus",
"Leo",
"Cassiopeia",
"Ursa Major",
"Cygnus",
"Orion"
] | 4 | 3D (press for 2D) | PCA | KMeans | ab09de19a6b9419c9cf023a8c2e2384a | intfloat/e5-mistral-7b-instruct | [
"black",
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"macchiato",
"Taurus",
"Leo",
"Cassiopeia",
"Ursa Major",
"Cygnus",
"Orion"
] | 4 | 3D (press for 2D) | PCA | KMeans | |||
1,740,227,980.4237 | clustering | rightvote | [
"",
""
] | 308aecc5dd25423a8754e4ae76735fe2 | text-embedding-004 | [
"tennis",
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"oxygen",
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"emerald",
"sapphire",
"loam",
"silt",
"sand",
"biology",
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"mathematics",
"chemistry"
] | 2 | 3D (press for 2D) | UMAP | KMeans | 40375388f28e4a62b0b5e90d51c68ec1 | intfloat/multilingual-e5-large-instruct | [
"tennis",
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"mathematics",
"chemistry"
] | 2 | 3D (press for 2D) | UMAP | KMeans | |||
1,740,228,004.5284 | clustering | rightvote | [
"",
""
] | e748324cf2a8417eb6093abdb8e735de | text-embedding-3-large | [
"joy",
"happiness",
"disgust",
"anger",
"marker",
"quill",
"pencil",
"fountain pen"
] | 2 | 3D (press for 2D) | UMAP | KMeans | 8b95a39298054c3dbfd8d93bc6e9861d | jinaai/jina-embeddings-v2-base-en | [
"joy",
"happiness",
"disgust",
"anger",
"marker",
"quill",
"pencil",
"fountain pen"
] | 2 | 3D (press for 2D) | UMAP | KMeans | |||
1,740,228,042.6252 | clustering | rightvote | [
"",
""
] | e88ff43ed69c4139b4b6eed96df8742e | text-embedding-004 | [
"mermaid",
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"griffin",
"electronic",
"country",
"classical",
"hip-hop",
"rock",
"jazz",
"reggae",
"wool",
"denim",
"leather",
"silk",
"linen",
"polyester"
] | 3 | 3D (press for 2D) | UMAP | KMeans | a86ce5a544624e1f8092135b6ded66aa | jinaai/jina-embeddings-v2-base-en | [
"mermaid",
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"rock",
"jazz",
"reggae",
"wool",
"denim",
"leather",
"silk",
"linen",
"polyester"
] | 3 | 3D (press for 2D) | UMAP | KMeans | |||
1,740,228,063.8742 | clustering | leftvote | [
"",
""
] | 4dbb03742788459bbcf51ef1fd396cfd | intfloat/multilingual-e5-large-instruct | [
"Kia",
"Mercedes-Benz",
"Tesla",
"Toyota",
"Volkswagen",
"BMW",
"GMC",
"Scrabble",
"Catan",
"IBM Cloud",
"AWS",
"Abstract Expressionism",
"Cubism",
"Surrealism",
"Impressionism"
] | 4 | 3D (press for 2D) | UMAP | KMeans | 47731b0388ed4ceb86b6b4a0edd7cab3 | Alibaba-NLP/gte-Qwen2-7B-instruct | [
"Kia",
"Mercedes-Benz",
"Tesla",
"Toyota",
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"BMW",
"GMC",
"Scrabble",
"Catan",
"IBM Cloud",
"AWS",
"Abstract Expressionism",
"Cubism",
"Surrealism",
"Impressionism"
] | 4 | 3D (press for 2D) | UMAP | KMeans | |||
1,740,228,156.4604 | clustering | tievote | [
"",
""
] | 005a3d1229a9444c8bee04d7d362cf5e | jinaai/jina-embeddings-v2-base-en | [
"mermaid",
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"unicorn",
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"salmon",
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"shield",
"composite",
"tornado",
"hurricane",
"fog",
"drought",
"blizzard",
"thunderstorm",
"hailstorm"
] | 5 | 3D (press for 2D) | UMAP | KMeans | ac1a2192d40842919cd93a7aaef49908 | Salesforce/SFR-Embedding-2_R | [
"mermaid",
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"composite",
"tornado",
"hurricane",
"fog",
"drought",
"blizzard",
"thunderstorm",
"hailstorm"
] | 5 | 3D (press for 2D) | UMAP | KMeans | |||
1,740,228,174.7956 | clustering | leftvote | [
"",
""
] | a8f59201a4244d9db65c2b1c8968e27d | Alibaba-NLP/gte-Qwen2-7B-instruct | [
"apple",
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"banana",
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"English",
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"Mandarin",
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"galaxy",
"planet",
"black hole",
"nebula",
"Cubism",
"Baroque",
"Abstract Expressionism",
"whiskey",
"vodka",
"beer"
] | 5 | 3D (press for 2D) | UMAP | KMeans | cad6c6d8e1cf420b950d2c6eb6b16932 | text-embedding-3-large | [
"apple",
"pear",
"kiwi",
"banana",
"peach",
"grape",
"mango",
"Spanish",
"English",
"Hindi",
"Russian",
"French",
"Mandarin",
"Arabic",
"galaxy",
"planet",
"black hole",
"nebula",
"Cubism",
"Baroque",
"Abstract Expressionism",
"whiskey",
"vodka",
"beer"
] | 5 | 3D (press for 2D) | UMAP | KMeans | |||
1,740,228,192.7948 | clustering | leftvote | [
"",
""
] | 2b673b10e255444380f5a40858794eaf | sentence-transformers/all-MiniLM-L6-v2 | [
"hydrogen",
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"oxygen",
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"carbon",
"fast casual",
"sushi bar",
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"cafe",
"mathematics",
"history",
"biology",
"literature",
"chemistry",
"planet",
"asteroid",
"Europe",
"Antarctica",
"N... | 5 | 3D (press for 2D) | UMAP | KMeans | 336760625f4545eab24ad93ae7b0bcf9 | embed-english-v3.0 | [
"hydrogen",
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"history",
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"literature",
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"planet",
"asteroid",
"Europe",
"Antarctica",
"N... | 5 | 3D (press for 2D) | UMAP | KMeans | |||
1,740,228,228.6003 | clustering | leftvote | [
"",
""
] | 9e219d39709c4b47a50850bfa283a140 | embed-english-v3.0 | [
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"Nintendo",
"Atari",
"Stegosaurus",
"Brachiosaurus",
"water filter",
"tent",
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"compass",
"sleeping bag",
"flashlight",
"camping stove",
"extroversion",
"conscientiousness",
"openness",
"agreeableness",
"neuroticism"
] | 5 | 3D (press for 2D) | UMAP | KMeans | aa1107922e2d42e0a6c7bea4b8d6acf5 | intfloat/e5-mistral-7b-instruct | [
"wisdom tooth",
"premolar",
"incisor",
"Nintendo",
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"Brachiosaurus",
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"compass",
"sleeping bag",
"flashlight",
"camping stove",
"extroversion",
"conscientiousness",
"openness",
"agreeableness",
"neuroticism"
] | 5 | 3D (press for 2D) | UMAP | KMeans | |||
1,740,255,808.3222 | clustering | rightvote | [
"",
""
] | 3008bf481ea54e3cb502155c539ad898 | embed-english-v3.0 | [
"PlayStation",
"Xbox",
"Atari",
"Nintendo",
"Sega",
"theocracy",
"democracy",
"republic",
"oligarchy",
"monarchy",
"C++",
"JavaScript",
"Go"
] | 3 | 3D (press for 2D) | PCA | KMeans | c0f2a3c81d0148608a0e6451df1d251f | nomic-ai/nomic-embed-text-v1.5 | [
"PlayStation",
"Xbox",
"Atari",
"Nintendo",
"Sega",
"theocracy",
"democracy",
"republic",
"oligarchy",
"monarchy",
"C++",
"JavaScript",
"Go"
] | 3 | 3D (press for 2D) | PCA | KMeans | |||
1,740,255,866.6935 | clustering | leftvote | [
"",
""
] | 5928ef5dd9e54d3e9ec4eebedc813f57 | Alibaba-NLP/gte-Qwen2-7B-instruct | [
"Asia",
"Antarctica",
"gas",
"solid",
"Chihuahua",
"Beagle",
"German Shepherd",
"Bulldog",
"Labrador",
"Aries",
"Gemini",
"Scorpio",
"Libra"
] | 4 | 3D (press for 2D) | PCA | KMeans | 66bb9dd5718d4c2d8d07cfc3bb88a153 | BAAI/bge-large-en-v1.5 | [
"Asia",
"Antarctica",
"gas",
"solid",
"Chihuahua",
"Beagle",
"German Shepherd",
"Bulldog",
"Labrador",
"Aries",
"Gemini",
"Scorpio",
"Libra"
] | 4 | 3D (press for 2D) | PCA | KMeans | |||
1,740,336,565.3236 | clustering | rightvote | [
"",
""
] | 4aed5347d2d74004a10333efa3388914 | GritLM/GritLM-7B | [
"i need a hat",
"what is this hat color",
"i want a coat",
"what's this coat material",
"i want coupons",
"vouchers",
"looking for a battery",
"human"
] | 2 | 2D (press for 3D) | PCA | KMeans | 97ee2c31e8dc4fd990105e570cbb7aaf | jinaai/jina-embeddings-v2-base-en | [
"i need a hat",
"what is this hat color",
"i want a coat",
"what's this coat material",
"i want coupons",
"vouchers",
"looking for a battery",
"human"
] | 2 | 2D (press for 3D) | PCA | KMeans | |||
1,740,345,034.9777 | clustering | leftvote | [
"",
""
] | 53d0a233b26741fe94a4d38632cae160 | GritLM/GritLM-7B | [
"Orion",
"Leo",
"Taurus",
"Cygnus",
"Ursa Major",
"Cassiopeia",
"Scorpius",
"McDonald's",
"Taco Bell",
"Burger King",
"Edge",
"Firefox",
"Brave",
"Opera"
] | 3 | 3D (press for 2D) | PCA | KMeans | 7199db4df842400d93c4842e52e2fea0 | Salesforce/SFR-Embedding-2_R | [
"Orion",
"Leo",
"Taurus",
"Cygnus",
"Ursa Major",
"Cassiopeia",
"Scorpius",
"McDonald's",
"Taco Bell",
"Burger King",
"Edge",
"Firefox",
"Brave",
"Opera"
] | 3 | 3D (press for 2D) | PCA | KMeans | |||
1,740,480,897.912 | clustering | rightvote | [
"",
""
] | 981cfa19ff8e4e2db83cff8421ea67d0 | Alibaba-NLP/gte-Qwen2-7B-instruct | [
"Shanghai",
"Beijing",
"Shenzhen",
"Hangzhou",
"Seattle",
"Boston",
"New York",
"San Francisco"
] | 2 | 3D (press for 2D) | PCA | KMeans | 72fac0b03c6d41538740dd2b51283f98 | intfloat/multilingual-e5-large-instruct | [
"Shanghai",
"Beijing",
"Shenzhen",
"Hangzhou",
"Seattle",
"Boston",
"New York",
"San Francisco"
] | 2 | 3D (press for 2D) | PCA | KMeans | |||
1,740,480,984.8879 | clustering | leftvote | [
"",
""
] | d14b441899894023834d2a87be4d3d21 | intfloat/e5-mistral-7b-instruct | [
"Pikachu",
"Darth Vader",
"Yoda",
"Squirtle",
"Gandalf",
"Legolas",
"Mickey Mouse",
"Donald Duck",
"Charizard"
] | 4 | 3D (press for 2D) | PCA | KMeans | 2d92b4cdf7574408996f402343b5c33f | jinaai/jina-embeddings-v2-base-en | [
"Pikachu",
"Darth Vader",
"Yoda",
"Squirtle",
"Gandalf",
"Legolas",
"Mickey Mouse",
"Donald Duck",
"Charizard"
] | 4 | 3D (press for 2D) | PCA | KMeans | |||
1,740,519,825.8857 | clustering | leftvote | [
"",
""
] | df98f1fa311d403084e8f392392a422e | intfloat/e5-mistral-7b-instruct | [
"octagon",
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"Temple of Artemis",
"Colossus of Rhodes",
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"Lighthouse of Alexandria",
"Hanging Gardens of Babylon",
"Pyramids of Giza",
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"black",
"blonde",
"redhead",
"gray",
"auburn",
"white",
"soccer",
"basketball",
"tennis",
"baseball",
... | 5 | 3D (press for 2D) | PCA | KMeans | 5c55a3d402ef49f39dae6859cb26921b | intfloat/multilingual-e5-large-instruct | [
"octagon",
"rectangle",
"Temple of Artemis",
"Colossus of Rhodes",
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"redhead",
"gray",
"auburn",
"white",
"soccer",
"basketball",
"tennis",
"baseball",
... | 5 | 3D (press for 2D) | PCA | KMeans | |||
1,740,613,514.8431 | clustering | leftvote | [
"",
""
] | 4abbeb996f2a4f86a2befef7c8bc1a05 | nomic-ai/nomic-embed-text-v1.5 | [
"pyramidal",
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"sensory",
"sailboat",
"catamaran",
"cruise ship",
"kayak",
"yacht",
"motorboat",
"opal",
"diamond",
"sapphire",
"emerald",
"gin",
"tequila",
"vodka",
"wine",
"black hole",
"galaxy",
"white"
] | 5 | 3D (press for 2D) | PCA | KMeans | 09cc6cb01ba146c688a92fd08727b5f3 | Salesforce/SFR-Embedding-2_R | [
"pyramidal",
"interneuron",
"sensory",
"sailboat",
"catamaran",
"cruise ship",
"kayak",
"yacht",
"motorboat",
"opal",
"diamond",
"sapphire",
"emerald",
"gin",
"tequila",
"vodka",
"wine",
"black hole",
"galaxy",
"white"
] | 5 | 3D (press for 2D) | PCA | KMeans | |||
1,740,666,210.4995 | clustering | leftvote | [
"",
""
] | ec37dda175464f9e810df098607c07a6 | Salesforce/SFR-Embedding-2_R | [
"octagon",
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"Temple of Artemis",
"Colossus of Rhodes",
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"Lighthouse of Alexandria",
"Hanging Gardens of Babylon",
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"black",
"blonde",
"redhead",
"gray",
"auburn",
"white",
"soccer",
"basketball",
"tennis",
"baseball",
... | 5 | 3D (press for 2D) | PCA | KMeans | a8ad066eedea471abf40b291781c4453 | mixedbread-ai/mxbai-embed-large-v1 | [
"octagon",
"rectangle",
"Temple of Artemis",
"Colossus of Rhodes",
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"black",
"blonde",
"redhead",
"gray",
"auburn",
"white",
"soccer",
"basketball",
"tennis",
"baseball",
... | 5 | 3D (press for 2D) | PCA | KMeans | |||
1,740,921,576.168 | clustering | rightvote | [
"",
""
] | fb65a2f234c24a43bf8a65affb1b5310 | mixedbread-ai/mxbai-embed-large-v1 | [
"Shanghai",
"Beijing",
"Shenzhen",
"Hangzhou",
"Seattle",
"Boston",
"New York",
"San Francisco"
] | 2 | 3D (press for 2D) | PCA | KMeans | 53e952de68fa4172a7e28bdbb69a6b17 | sentence-transformers/all-MiniLM-L6-v2 | [
"Shanghai",
"Beijing",
"Shenzhen",
"Hangzhou",
"Seattle",
"Boston",
"New York",
"San Francisco"
] | 2 | 3D (press for 2D) | PCA | KMeans | |||
1,740,971,906.4119 | clustering | rightvote | [
"",
""
] | 8d17d02dc94e4adc8387e79d3918b83d | jinaai/jina-embeddings-v2-base-en | [
"How are you",
"你好吗",
"早上好",
"Good Morning"
] | 2 | 3D (press for 2D) | PCA | KMeans | d13e35523fb9471c90a4d0f085eddb06 | Salesforce/SFR-Embedding-2_R | [
"How are you",
"你好吗",
"早上好",
"Good Morning"
] | 2 | 3D (press for 2D) | PCA | KMeans | |||
1,741,016,983.4357 | clustering | leftvote | [
"",
""
] | 4d7c90e147544c41bde7919bcecac695 | jinaai/jina-embeddings-v2-base-en | [
"Shanghai",
"Beijing",
"Shenzhen",
"Hangzhou",
"Seattle",
"Boston",
"New York",
"San Francisco"
] | 2 | 2D (press for 3D) | PCA | KMeans | bef9861084e848588902fac67b9cce5f | text-embedding-3-large | [
"Shanghai",
"Beijing",
"Shenzhen",
"Hangzhou",
"Seattle",
"Boston",
"New York",
"San Francisco"
] | 2 | 2D (press for 3D) | PCA | KMeans | |||
1,741,017,029.7112 | clustering | rightvote | [
"",
""
] | d29e2d2249dd4e31830e6a9bb4ad704a | jinaai/jina-embeddings-v2-base-en | [
"Pikachu",
"Darth Vader",
"Yoda",
"Squirtle",
"Gandalf",
"Legolas",
"Mickey Mouse",
"Donald Duck",
"Charizard"
] | 4 | 2D (press for 3D) | PCA | KMeans | 143a9b64b5a64eef9b13e5a9e960e06a | text-embedding-3-large | [
"Pikachu",
"Darth Vader",
"Yoda",
"Squirtle",
"Gandalf",
"Legolas",
"Mickey Mouse",
"Donald Duck",
"Charizard"
] | 4 | 2D (press for 3D) | PCA | KMeans | |||
1,741,121,552.7812 | clustering | leftvote | [
"",
""
] | a025caeba5ef4583a4cd0da5d8f08b1d | text-embedding-004 | [
"D",
"C",
"K",
"B12",
"B1",
"Edge",
"Opera",
"Firefox",
"Brave",
"Chrome",
"Safari",
"agreeableness",
"neuroticism",
"openness",
"conscientiousness",
"extroversion",
"free verse",
"epic",
"limerick",
"ravioli",
"lasagna",
"spaghetti",
"fusilli",
"linguine"
] | 5 | 3D (press for 2D) | PCA | KMeans | 8d2dd5d5a0b3455aaaab8a64954d4e4f | Alibaba-NLP/gte-Qwen2-7B-instruct | [
"D",
"C",
"K",
"B12",
"B1",
"Edge",
"Opera",
"Firefox",
"Brave",
"Chrome",
"Safari",
"agreeableness",
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"openness",
"conscientiousness",
"extroversion",
"free verse",
"epic",
"limerick",
"ravioli",
"lasagna",
"spaghetti",
"fusilli",
"linguine"
] | 5 | 3D (press for 2D) | PCA | KMeans | |||
1,722,615,202.3598 | clustering | leftvote | [
"",
""
] | 687d9008c4e74bd99523eaad66d98dd1 | Salesforce/SFR-Embedding-2_R | [
"historical fiction",
"horror",
"fantasy",
"mystery",
"fear",
"sadness",
"tulip",
"lily",
"orchid",
"daisy",
"rose",
"sunflower",
"sapphire",
"emerald",
"opal",
"ruby",
"diamond"
] | 4 | 3D (press for 2D) | PCA | KMeans | 808ec06d5fdd4e0dac8ca639e758e2de | sentence-transformers/all-MiniLM-L6-v2 | [
"historical fiction",
"horror",
"fantasy",
"mystery",
"fear",
"sadness",
"tulip",
"lily",
"orchid",
"daisy",
"rose",
"sunflower",
"sapphire",
"emerald",
"opal",
"ruby",
"diamond"
] | 4 | 3D (press for 2D) | PCA | KMeans | |||
1,722,615,253.2679 | clustering | rightvote | [
"",
""
] | c867408bf4e849d2b03c0b7fda95f765 | embed-english-v3.0 | [
"summer",
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"fall",
"winter",
"Safari",
"Firefox",
"Opera",
"Brave",
"cirrus",
"altostratus",
"kiwi",
"peach",
"banana",
"orange",
"apple",
"brioche",
"rye",
"sourdough",
"pumpernickel",
"focaccia",
"ciabatta",
"baguette"
] | 5 | 3D (press for 2D) | PCA | KMeans | 862137c66ef74f9995b59116deab7628 | Alibaba-NLP/gte-Qwen2-7B-instruct | [
"summer",
"spring",
"fall",
"winter",
"Safari",
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"Brave",
"cirrus",
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"orange",
"apple",
"brioche",
"rye",
"sourdough",
"pumpernickel",
"focaccia",
"ciabatta",
"baguette"
] | 5 | 3D (press for 2D) | PCA | KMeans | |||
1,722,615,451.8371 | clustering | leftvote | [
"",
""
] | f6d62dfa5d50447fb621777510c20fb8 | GritLM/GritLM-7B | [
"onomatopoeia",
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"simile",
"alliteration",
"Apple",
"LG",
"Huawei",
"Xiaomi",
"OnePlus",
"B",
"O",
"D",
"E",
"B12",
"K",
"C"
] | 4 | 3D (press for 2D) | PCA | KMeans | 09cbb0e5b96b4a0d88b03a6e08442aca | intfloat/multilingual-e5-large-instruct | [
"onomatopoeia",
"metaphor",
"simile",
"alliteration",
"Apple",
"LG",
"Huawei",
"Xiaomi",
"OnePlus",
"B",
"O",
"D",
"E",
"B12",
"K",
"C"
] | 4 | 3D (press for 2D) | PCA | KMeans | |||
1,722,615,480.5966 | clustering | leftvote | [
"",
""
] | 8585aad143e645cfa703982e110dfd13 | intfloat/e5-mistral-7b-instruct | [
"Shanghai",
"Beijing",
"Shenzhen",
"Hangzhou",
"Seattle",
"Boston",
"New York",
"San Francisco"
] | 2 | 3D (press for 2D) | PCA | KMeans | 1725b26612394f77b5699cf1daae9159 | mixedbread-ai/mxbai-embed-large-v1 | [
"Shanghai",
"Beijing",
"Shenzhen",
"Hangzhou",
"Seattle",
"Boston",
"New York",
"San Francisco"
] | 2 | 3D (press for 2D) | PCA | KMeans | |||
1,722,628,273.8485 | clustering | rightvote | [
"",
""
] | de12e68037454e3b952db869c63fc470 | text-embedding-004 | [
"Pikachu",
"Darth Vader",
"Yoda",
"Squirtle",
"Gandalf",
"Legolas",
"Mickey Mouse",
"Donald Duck",
"Charizard"
] | 4 | 3D (press for 2D) | PCA | KMeans | 4750f9b4bb8e402cbca8a64e2b5a0fe7 | jinaai/jina-embeddings-v2-base-en | [
"Pikachu",
"Darth Vader",
"Yoda",
"Squirtle",
"Gandalf",
"Legolas",
"Mickey Mouse",
"Donald Duck",
"Charizard"
] | 4 | 3D (press for 2D) | PCA | KMeans | |||
1,722,645,867.6444 | clustering | rightvote | [
"",
""
] | 3a6b26c85989429b81812196dea006e1 | text-embedding-004 | [
"fedora",
"bowler",
"cowboy hat",
"baseball cap",
"beanie",
"free verse",
"limerick"
] | 2 | 3D (press for 2D) | PCA | KMeans | 5564e0cf865d4e3fa0c639be0a168629 | voyage-multilingual-2 | [
"fedora",
"bowler",
"cowboy hat",
"baseball cap",
"beanie",
"free verse",
"limerick"
] | 2 | 3D (press for 2D) | PCA | KMeans | |||
1,722,645,945.4401 | clustering | tievote | [
"",
""
] | 5cbc0021ebc94d37806889b1d870c4ba | intfloat/multilingual-e5-large-instruct | [
"trombone",
"bassoon",
"trumpet",
"clarinet",
"flute",
"jiu-jitsu",
"karate",
"muay thai",
"kung fu",
"judo"
] | 2 | 3D (press for 2D) | PCA | KMeans | 2296b102d3504214957dbecf466da6b3 | Alibaba-NLP/gte-Qwen2-7B-instruct | [
"trombone",
"bassoon",
"trumpet",
"clarinet",
"flute",
"jiu-jitsu",
"karate",
"muay thai",
"kung fu",
"judo"
] | 2 | 3D (press for 2D) | PCA | KMeans | |||
1,722,654,831.3119 | clustering | rightvote | [
"",
""
] | 708abd5d2da849ae8df5483674bf7bdb | voyage-multilingual-2 | [
"Pyramids of Giza",
"Hanging Gardens of Babylon",
"North America",
"Antarctica",
"Asia",
"South America",
"pancreas",
"lungs",
"kidneys",
"stomach",
"brain",
"epic",
"haiku",
"ballad",
"ode",
"free verse"
] | 4 | 3D (press for 2D) | PCA | KMeans | d4eb6cdae94949c7970dea9cd1f7a4d1 | Salesforce/SFR-Embedding-2_R | [
"Pyramids of Giza",
"Hanging Gardens of Babylon",
"North America",
"Antarctica",
"Asia",
"South America",
"pancreas",
"lungs",
"kidneys",
"stomach",
"brain",
"epic",
"haiku",
"ballad",
"ode",
"free verse"
] | 4 | 3D (press for 2D) | PCA | KMeans | |||
1,722,717,837.4978 | clustering | leftvote | [
"",
""
] | 9c01a8e7741548d7a77fd22c47e6b4c4 | text-embedding-3-large | [
"beer",
"wine",
"tequila",
"vodka",
"rum",
"gin",
"whiskey",
"Google Cloud",
"IBM Cloud",
"Oracle Cloud",
"AWS",
"Azure",
"OnePlus",
"Xiaomi",
"Huawei",
"Apple",
"LG",
"Google"
] | 3 | 3D (press for 2D) | PCA | KMeans | 8f2c26a27bb54af790a67e3bbed48277 | mixedbread-ai/mxbai-embed-large-v1 | [
"beer",
"wine",
"tequila",
"vodka",
"rum",
"gin",
"whiskey",
"Google Cloud",
"IBM Cloud",
"Oracle Cloud",
"AWS",
"Azure",
"OnePlus",
"Xiaomi",
"Huawei",
"Apple",
"LG",
"Google"
] | 3 | 3D (press for 2D) | PCA | KMeans | |||
1,722,776,811.3514 | clustering | rightvote | [
"",
""
] | 09949aaf3024401d9de5f833aad69062 | mixedbread-ai/mxbai-embed-large-v1 | [
"fall",
"winter",
"irony",
"onomatopoeia",
"personification",
"simile",
"hyperbole",
"alliteration",
"metaphor",
"compass",
"tent",
"flashlight",
"backpack",
"water filter",
"Aries",
"Cancer",
"Virgo",
"Scorpio",
"Libra"
] | 4 | 3D (press for 2D) | PCA | KMeans | b153421bcf6e4c2ca7829e5ebb31d2d3 | intfloat/e5-mistral-7b-instruct | [
"fall",
"winter",
"irony",
"onomatopoeia",
"personification",
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"alliteration",
"metaphor",
"compass",
"tent",
"flashlight",
"backpack",
"water filter",
"Aries",
"Cancer",
"Virgo",
"Scorpio",
"Libra"
] | 4 | 3D (press for 2D) | PCA | KMeans | |||
1,722,796,527.251 | clustering | leftvote | [
"",
""
] | c21ad41e3eac4346b64600c67c1f9d61 | intfloat/e5-mistral-7b-instruct | [
"Mesopotamian",
"Mayan",
"Incan",
"Egyptian",
"K",
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"E",
"D",
"B12",
"topaz",
"sapphire",
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"rye",
"pumpernickel",
"ciabatta",
"baguette",
"sourdough",
"horror",
"historical fiction",
"romance",
"science fiction"
] | 5 | 3D (press for 2D) | PCA | KMeans | 8b1ff376b4c54750aaf7aa9f96600861 | BAAI/bge-large-en-v1.5 | [
"Mesopotamian",
"Mayan",
"Incan",
"Egyptian",
"K",
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"E",
"D",
"B12",
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"sapphire",
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"rye",
"pumpernickel",
"ciabatta",
"baguette",
"sourdough",
"horror",
"historical fiction",
"romance",
"science fiction"
] | 5 | 3D (press for 2D) | PCA | KMeans | |||
1,722,796,588.6399 | clustering | tievote | [
"",
""
] | 1d97d5dfe41f49889e482d56861261c9 | GritLM/GritLM-7B | [
"conscientiousness",
"openness",
"agreeableness",
"wheelbarrow",
"rake",
"mystery",
"fantasy",
"hurricane",
"tornado"
] | 4 | 3D (press for 2D) | PCA | KMeans | 10845938a4c843dd988d5ddc2be85725 | intfloat/e5-mistral-7b-instruct | [
"conscientiousness",
"openness",
"agreeableness",
"wheelbarrow",
"rake",
"mystery",
"fantasy",
"hurricane",
"tornado"
] | 4 | 3D (press for 2D) | PCA | KMeans | |||
1,738,762,098.5218 | clustering | rightvote | [
"",
""
] | 9de46b546bbb4af2a14fc6336586667f | Salesforce/SFR-Embedding-2_R | [
"Mobile Phone",
"Nike",
"Amazon",
"Apple",
"Walmart",
"Rebook",
"Shoes",
"Tenis"
] | 2 | 3D (press for 2D) | PCA | KMeans | 06693da39f9244fe91063e847e649012 | text-embedding-004 | [
"Mobile Phone",
"Nike",
"Amazon",
"Apple",
"Walmart",
"Rebook",
"Shoes",
"Tenis"
] | 2 | 3D (press for 2D) | PCA | KMeans | |||
1,738,762,129.1828 | clustering | leftvote | [
"",
""
] | 1ab4a792f46541bba432f967e4a34e20 | intfloat/e5-mistral-7b-instruct | [
"gray",
"brunette",
"black",
"white",
"historical fiction",
"romance",
"igneous",
"metamorphic",
"sedimentary",
"pancreas",
"stomach",
"rum",
"vodka",
"tequila"
] | 5 | 3D (press for 2D) | PCA | KMeans | f65ce64c9cb145dcb93e33824a9bacb7 | mixedbread-ai/mxbai-embed-large-v1 | [
"gray",
"brunette",
"black",
"white",
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"romance",
"igneous",
"metamorphic",
"sedimentary",
"pancreas",
"stomach",
"rum",
"vodka",
"tequila"
] | 5 | 3D (press for 2D) | PCA | KMeans | |||
1,738,762,150.046 | clustering | rightvote | [
"",
""
] | 0fc693642edb4a89a0a897d6d6a791c3 | sentence-transformers/all-MiniLM-L6-v2 | [
"Roman",
"Egyptian",
"Greek",
"Mesopotamian",
"Incan",
"diamond",
"sapphire",
"emerald",
"amethyst",
"ruby",
"topaz",
"Pinterest",
"TikTok",
"Instagram"
] | 3 | 3D (press for 2D) | PCA | KMeans | f4f00fb6dca4431fadfede47d893d646 | Alibaba-NLP/gte-Qwen2-7B-instruct | [
"Roman",
"Egyptian",
"Greek",
"Mesopotamian",
"Incan",
"diamond",
"sapphire",
"emerald",
"amethyst",
"ruby",
"topaz",
"Pinterest",
"TikTok",
"Instagram"
] | 3 | 3D (press for 2D) | PCA | KMeans | |||
1,738,762,170.9624 | clustering | leftvote | [
"",
""
] | 50ac530cd4f345d28f4eb4942ee59c82 | BAAI/bge-large-en-v1.5 | [
"caldera",
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"shield",
"cinder cone",
"lava dome",
"clarinet",
"oboe",
"flute",
"cold",
"coastal",
"Atlantic",
"Southern"
] | 4 | 3D (press for 2D) | PCA | KMeans | 9972d5c6bb7d47df87adb6b82f98ede4 | Alibaba-NLP/gte-Qwen2-7B-instruct | [
"caldera",
"composite",
"shield",
"cinder cone",
"lava dome",
"clarinet",
"oboe",
"flute",
"cold",
"coastal",
"Atlantic",
"Southern"
] | 4 | 3D (press for 2D) | PCA | KMeans | |||
1,738,762,185.5057 | clustering | rightvote | [
"",
""
] | 25375306f4b147f09b86b40869eaf412 | sentence-transformers/all-MiniLM-L6-v2 | [
"polyethylene",
"PVC",
"nylon",
"polystyrene",
"Mandarin",
"English"
] | 2 | 3D (press for 2D) | PCA | KMeans | a418f1a74bc7403e8e63871b3727d6c8 | GritLM/GritLM-7B | [
"polyethylene",
"PVC",
"nylon",
"polystyrene",
"Mandarin",
"English"
] | 2 | 3D (press for 2D) | PCA | KMeans | |||
1,738,762,285.76 | clustering | leftvote | [
"",
""
] | 345f101473824fc9a4cca0bcf227b8b4 | embed-english-v3.0 | [
"winter",
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"Hindu",
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"Roman",
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"Greek",
"B",
"A",
"O",
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"hot and dry",
"cold",
"coastal",
"semi-arid",
"rum",
"vodka",
"tequila",
"gin"
] | 5 | 3D (press for 2D) | PCA | KMeans | d407eb20615246fdb146caeca40a25f8 | text-embedding-004 | [
"winter",
"fall",
"Chinese",
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"hot and dry",
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"semi-arid",
"rum",
"vodka",
"tequila",
"gin"
] | 5 | 3D (press for 2D) | PCA | KMeans | |||
1,738,762,329.6737 | clustering | rightvote | [
"",
""
] | 770d74783c32421389759ebe2c0c7aa1 | jinaai/jina-embeddings-v2-base-en | [
"anchoring bias",
"availability bias",
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"drums",
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"leather",
"linen",
"wool",
"hydrogen",
"sodium",
"oxygen",
"nitrogen",
"carbon",
"calcium",
"iron"
] | 5 | 3D (press for 2D) | PCA | KMeans | 62769e095bdc4f1cafe65227fef94efa | Salesforce/SFR-Embedding-2_R | [
"anchoring bias",
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"leather",
"linen",
"wool",
"hydrogen",
"sodium",
"oxygen",
"nitrogen",
"carbon",
"calcium",
"iron"
] | 5 | 3D (press for 2D) | PCA | KMeans | |||
1,738,762,395.1063 | clustering | leftvote | [
"",
""
] | e0318ab913004dbb9fe6549139425f00 | Salesforce/SFR-Embedding-2_R | [
"gray",
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"brunette",
"redhead",
"haiku",
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"ballad",
"epic",
"free verse",
"top hat",
"beanie",
"plane",
"convex",
"Arctic",
"Indian",
"Atlantic"
] | 5 | 3D (press for 2D) | PCA | KMeans | c741a54e4c874d8a9ecaf79e3ddacc5a | GritLM/GritLM-7B | [
"gray",
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"epic",
"free verse",
"top hat",
"beanie",
"plane",
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"Arctic",
"Indian",
"Atlantic"
] | 5 | 3D (press for 2D) | PCA | KMeans | |||
1,738,762,561.5921 | clustering | leftvote | [
"",
""
] | 2bae9fd3ec534fd0bf8b36069b7f8987 | text-embedding-3-large | [
"When there is a transformation between distributions, $f: \\mathbb{R}^n \\rightarrow \\mathbb{R}^n$, distributions represented by the initial and the transformed spaces are related as such",
"$f(x)$ can be represented by a field. In this scenario, we get $y$ from $x$ by solving an initial value problem:\n$$\\fra... | 3 | 3D (press for 2D) | PCA | KMeans | 22c685d294c64c5b874d444961b1180c | nomic-ai/nomic-embed-text-v1.5 | [
"When there is a transformation between distributions, $f: \\mathbb{R}^n \\rightarrow \\mathbb{R}^n$, distributions represented by the initial and the transformed spaces are related as such",
"$f(x)$ can be represented by a field. In this scenario, we get $y$ from $x$ by solving an initial value problem:\n$$\\fra... | 3 | 3D (press for 2D) | PCA | KMeans | |||
1,738,762,796.7433 | clustering | rightvote | [
"",
""
] | 7e39178a35e4498fb221a9cfdd73dd52 | sentence-transformers/all-MiniLM-L6-v2 | [
"I normalise the spectrum to units of $\\sigma_\\mathrm{thermal}$, taking $p_\\mathrm{\\alpha}=1.7 \\sigma_\\mathrm{thermal}$, roughly what we computed in earlier in the [thermal noise](#thermal-noise) and momentum sections.",
"We can estimate the thermal noise of momentum measurements as gaussian noise with vari... | 3 | 3D (press for 2D) | PCA | KMeans | 76b205acad144409af072e87a1514fd7 | Alibaba-NLP/gte-Qwen2-7B-instruct | [
"I normalise the spectrum to units of $\\sigma_\\mathrm{thermal}$, taking $p_\\mathrm{\\alpha}=1.7 \\sigma_\\mathrm{thermal}$, roughly what we computed in earlier in the [thermal noise](#thermal-noise) and momentum sections.",
"We can estimate the thermal noise of momentum measurements as gaussian noise with vari... | 3 | 3D (press for 2D) | PCA | KMeans | |||
1,738,762,844.1965 | clustering | rightvote | [
"",
""
] | c4bf4471fbab497db9cf1028f93c0b43 | intfloat/multilingual-e5-large-instruct | [
"I normalise the spectrum to units of $\\sigma_\\mathrm{thermal}$, taking $p_\\mathrm{\\alpha}=1.7 \\sigma_\\mathrm{thermal}$, roughly what we computed in earlier in the [thermal noise](#thermal-noise) and momentum sections.",
"We can estimate the thermal noise of momentum measurements as gaussian noise with vari... | 3 | 3D (press for 2D) | PCA | KMeans | 74d97c11190349b3b0eda2fb9beeb195 | text-embedding-004 | [
"I normalise the spectrum to units of $\\sigma_\\mathrm{thermal}$, taking $p_\\mathrm{\\alpha}=1.7 \\sigma_\\mathrm{thermal}$, roughly what we computed in earlier in the [thermal noise](#thermal-noise) and momentum sections.",
"We can estimate the thermal noise of momentum measurements as gaussian noise with vari... | 3 | 3D (press for 2D) | PCA | KMeans | |||
1,738,762,899.0983 | clustering | rightvote | [
"",
""
] | 23068f3458a94be886de1ce87e1d4b55 | text-embedding-004 | [
"I normalise the spectrum to units of $\\sigma_\\mathrm{thermal}$, taking $p_\\mathrm{\\alpha}=1.7 \\sigma_\\mathrm{thermal}$, roughly what we computed in earlier in the [thermal noise](#thermal-noise) and momentum sections.",
"We can estimate the thermal noise of momentum measurements as gaussian noise with vari... | 3 | 3D (press for 2D) | PCA | KMeans | 1e42c9e9a60f4cec8750190c175725d5 | embed-english-v3.0 | [
"I normalise the spectrum to units of $\\sigma_\\mathrm{thermal}$, taking $p_\\mathrm{\\alpha}=1.7 \\sigma_\\mathrm{thermal}$, roughly what we computed in earlier in the [thermal noise](#thermal-noise) and momentum sections.",
"We can estimate the thermal noise of momentum measurements as gaussian noise with vari... | 3 | 3D (press for 2D) | PCA | KMeans | |||
1,738,762,945.7525 | clustering | tievote | [
"",
""
] | a9499ebb065241e69b6e3e9db7135fe2 | voyage-multilingual-2 | [
"Shanghai",
"Beijing",
"Shenzhen",
"Hangzhou",
"Seattle",
"Boston",
"New York",
"San Francisco"
] | 2 | 3D (press for 2D) | PCA | KMeans | 91c0a61dab794b17b113ce5bc3558348 | intfloat/multilingual-e5-large-instruct | [
"Shanghai",
"Beijing",
"Shenzhen",
"Hangzhou",
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"New York",
"San Francisco"
] | 2 | 3D (press for 2D) | PCA | KMeans | |||
1,738,762,946.5053 | clustering | rightvote | [
"",
""
] | 9a6cd8222ddc4d8daa02e12053319b87 | text-embedding-004 | [
"I normalise the spectrum to units of $\\sigma_\\mathrm{thermal}$, taking $p_\\mathrm{\\alpha}=1.7 \\sigma_\\mathrm{thermal}$, roughly what we computed in earlier in the [thermal noise](#thermal-noise) and momentum sections.",
"We can estimate the thermal noise of momentum measurements as gaussian noise with vari... | 3 | 3D (press for 2D) | PCA | KMeans | 6b0413044e0243489f2de0a7d1ca1c47 | intfloat/e5-mistral-7b-instruct | [
"I normalise the spectrum to units of $\\sigma_\\mathrm{thermal}$, taking $p_\\mathrm{\\alpha}=1.7 \\sigma_\\mathrm{thermal}$, roughly what we computed in earlier in the [thermal noise](#thermal-noise) and momentum sections.",
"We can estimate the thermal noise of momentum measurements as gaussian noise with vari... | 3 | 3D (press for 2D) | PCA | KMeans | |||
1,738,763,021.8863 | clustering | rightvote | [
"",
""
] | a1c304f9cec34aefbe7794b89a6cc580 | text-embedding-3-large | [
"I normalise the spectrum to units of $\\sigma_\\mathrm{thermal}$, taking $p_\\mathrm{\\alpha}=1.7 \\sigma_\\mathrm{thermal}$, roughly what we computed in earlier in the [thermal noise](#thermal-noise) and momentum sections.",
"We can estimate the thermal noise of momentum measurements as gaussian noise with vari... | 3 | 3D (press for 2D) | PCA | KMeans | 26356c5cee98456ebe7d2eae1f28a718 | Alibaba-NLP/gte-Qwen2-7B-instruct | [
"I normalise the spectrum to units of $\\sigma_\\mathrm{thermal}$, taking $p_\\mathrm{\\alpha}=1.7 \\sigma_\\mathrm{thermal}$, roughly what we computed in earlier in the [thermal noise](#thermal-noise) and momentum sections.",
"We can estimate the thermal noise of momentum measurements as gaussian noise with vari... | 3 | 3D (press for 2D) | PCA | KMeans | |||
1,738,763,063.3142 | clustering | rightvote | [
"",
""
] | 56cc0ef844fe49ebab1fa30ecd9a2684 | jinaai/jina-embeddings-v2-base-en | [
"I normalise the spectrum to units of $\\sigma_\\mathrm{thermal}$, taking $p_\\mathrm{\\alpha}=1.7 \\sigma_\\mathrm{thermal}$, roughly what we computed in earlier in the [thermal noise](#thermal-noise) and momentum sections.",
"We can estimate the thermal noise of momentum measurements as gaussian noise with vari... | 1 | 3D (press for 2D) | PCA | KMeans | 364455a975c04bb496842455390b9c02 | text-embedding-3-large | [
"I normalise the spectrum to units of $\\sigma_\\mathrm{thermal}$, taking $p_\\mathrm{\\alpha}=1.7 \\sigma_\\mathrm{thermal}$, roughly what we computed in earlier in the [thermal noise](#thermal-noise) and momentum sections.",
"We can estimate the thermal noise of momentum measurements as gaussian noise with vari... | 1 | 3D (press for 2D) | PCA | KMeans | |||
1,738,763,104.7858 | clustering | leftvote | [
"",
""
] | 7a4f58a0bb8f46fc901708e1e760dfe9 | Salesforce/SFR-Embedding-2_R | [
"I normalise the spectrum to units of $\\sigma_\\mathrm{thermal}$, taking $p_\\mathrm{\\alpha}=1.7 \\sigma_\\mathrm{thermal}$, roughly what we computed in earlier in the [thermal noise](#thermal-noise) and momentum sections.",
"We can estimate the thermal noise of momentum measurements as gaussian noise with vari... | 3 | 3D (press for 2D) | PCA | KMeans | fee74bb17c304a17b14a9378c468ff7e | sentence-transformers/all-MiniLM-L6-v2 | [
"I normalise the spectrum to units of $\\sigma_\\mathrm{thermal}$, taking $p_\\mathrm{\\alpha}=1.7 \\sigma_\\mathrm{thermal}$, roughly what we computed in earlier in the [thermal noise](#thermal-noise) and momentum sections.",
"We can estimate the thermal noise of momentum measurements as gaussian noise with vari... | 3 | 3D (press for 2D) | PCA | KMeans | |||
1,738,763,194.4491 | clustering | rightvote | [
"",
""
] | e6c2bf59f2314a979af985433ac13ab5 | voyage-multilingual-2 | [
"I normalise the spectrum to units of $\\sigma_\\mathrm{thermal}$, taking $p_\\mathrm{\\alpha}=1.7 \\sigma_\\mathrm{thermal}$, roughly what we computed in earlier in the [thermal noise](#thermal-noise) and momentum sections.",
"We can estimate the thermal noise of momentum measurements as gaussian noise with vari... | 3 | 2D (press for 3D) | PCA | KMeans | 78caf84879f24819a0e48eacb9f401d3 | text-embedding-004 | [
"I normalise the spectrum to units of $\\sigma_\\mathrm{thermal}$, taking $p_\\mathrm{\\alpha}=1.7 \\sigma_\\mathrm{thermal}$, roughly what we computed in earlier in the [thermal noise](#thermal-noise) and momentum sections.",
"We can estimate the thermal noise of momentum measurements as gaussian noise with vari... | 3 | 2D (press for 3D) | PCA | KMeans | |||
1,738,763,225.9459 | clustering | rightvote | [
"",
""
] | 6065a094be19431dbce25d576e8e8116 | GritLM/GritLM-7B | [
"I normalise the spectrum to units of $\\sigma_\\mathrm{thermal}$, taking $p_\\mathrm{\\alpha}=1.7 \\sigma_\\mathrm{thermal}$, roughly what we computed in earlier in the [thermal noise](#thermal-noise) and momentum sections.",
"We can estimate the thermal noise of momentum measurements as gaussian noise with vari... | 3 | 2D (press for 3D) | PCA | KMeans | 04224042c9054a48aef54921e4709884 | intfloat/multilingual-e5-large-instruct | [
"I normalise the spectrum to units of $\\sigma_\\mathrm{thermal}$, taking $p_\\mathrm{\\alpha}=1.7 \\sigma_\\mathrm{thermal}$, roughly what we computed in earlier in the [thermal noise](#thermal-noise) and momentum sections.",
"We can estimate the thermal noise of momentum measurements as gaussian noise with vari... | 3 | 2D (press for 3D) | PCA | KMeans | |||
1,738,805,729.5424 | clustering | rightvote | [
"",
""
] | 35d408bf07a74b6aa18a6d1799db891a | sentence-transformers/all-MiniLM-L6-v2 | [
"confirmation bias",
"dunning-kruger effect",
"Uranus",
"Earth",
"Neptune",
"Jupiter",
"Venus",
"apple",
"banana",
"O",
"AB",
"A",
"Shanghai",
"Beijing",
"Shenzhen",
"Hangzhou",
"Seattle",
"Boston",
"New York",
"San Francisco"
] | 2 | 2D (press for 3D) | PCA | KMeans | e5fa9b7f331842a797c541faba99c9d9 | Salesforce/SFR-Embedding-2_R | [
"confirmation bias",
"dunning-kruger effect",
"Uranus",
"Earth",
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"Shanghai",
"Beijing",
"Shenzhen",
"Hangzhou",
"Seattle",
"Boston",
"New York",
"San Francisco"
] | 2 | 2D (press for 3D) | PCA | KMeans | |||
1,738,842,153.4422 | clustering | leftvote | [
"",
""
] | e3e41639f5804092856a06d14b3d0ed0 | embed-english-v3.0 | [
"| 年 | 出来事 | 研究者 |\n| ---- | --------------------------------------------------- | --------------------- |\n| 1890 | アンゴラウサギの4細胞胚をベルギー種のメスに移植し、4匹のベルギー種と2匹のアンゴラ種の子ウサギが誕生 | Walter Heape |\n| 1897 | ウサギ胚を針の先端に刺して受容体に直接移植する技術（培養液を使わない方法）が記述され... | 3 | 3D (press for 2D) | PCA | KMeans | 185362d59464460f87b500c2c8f1a763 | mixedbread-ai/mxbai-embed-large-v1 | [
"| 年 | 出来事 | 研究者 |\n| ---- | --------------------------------------------------- | --------------------- |\n| 1890 | アンゴラウサギの4細胞胚をベルギー種のメスに移植し、4匹のベルギー種と2匹のアンゴラ種の子ウサギが誕生 | Walter Heape |\n| 1897 | ウサギ胚を針の先端に刺して受容体に直接移植する技術（培養液を使わない方法）が記述され... | 3 | 3D (press for 2D) | PCA | KMeans | |||
1,738,935,667.0986 | clustering | leftvote | [
"",
""
] | 73aab683dcca435fb45813a09a1e7d97 | voyage-multilingual-2 | [
"Pikachu",
"Darth Vader",
"Yoda",
"Squirtle",
"Gandalf",
"Legolas",
"Mickey Mouse",
"Donald Duck",
"Charizard"
] | 4 | 3D (press for 2D) | PCA | KMeans | 5a0e961495d44413b1ab337b020da397 | intfloat/multilingual-e5-large-instruct | [
"Pikachu",
"Darth Vader",
"Yoda",
"Squirtle",
"Gandalf",
"Legolas",
"Mickey Mouse",
"Donald Duck",
"Charizard"
] | 4 | 3D (press for 2D) | PCA | KMeans | |||
1,739,133,446.6643 | clustering | rightvote | [
"",
""
] | ecc9b32552354529b99e68bd21c5827f | text-embedding-004 | [
"Shanghai",
"Beijing",
"Shenzhen",
"Hangzhou",
"Seattle",
"Boston",
"New York",
"San Francisco"
] | 2 | 3D (press for 2D) | PCA | KMeans | a49faa82416f4ded97833ab2ba97c9a9 | intfloat/multilingual-e5-large-instruct | [
"Shanghai",
"Beijing",
"Shenzhen",
"Hangzhou",
"Seattle",
"Boston",
"New York",
"San Francisco"
] | 2 | 3D (press for 2D) | PCA | KMeans | |||
1,739,151,511.9423 | clustering | bothbadvote | [
"",
""
] | a7baf18b12154f4e9e39990aabd7533c | GritLM/GritLM-7B | [
"halibut",
"tuna",
"mackerel",
"bass",
"salmon",
"flats",
"high heels",
"sandals"
] | 2 | 3D (press for 2D) | PCA | KMeans | b517f517a2ad48ae9941ff3dc51fe1c8 | intfloat/multilingual-e5-large-instruct | [
"halibut",
"tuna",
"mackerel",
"bass",
"salmon",
"flats",
"high heels",
"sandals"
] | 2 | 3D (press for 2D) | PCA | KMeans | |||
1,739,191,957.8895 | clustering | leftvote | [
"",
""
] | 381a68517b8e49bdadb6744d967e7787 | mixedbread-ai/mxbai-embed-large-v1 | [
"unfall rodelbahn bramberg",
"zdf doku",
"alaska flugzeugabsturz",
"lindsey vonn wm",
"donald trump super bowl",
"pizzeria flensburg explosion",
"ukraine krieg tagesschau liveblog",
"die vertrauensfrage",
"john cooney boxer",
"lillehammer bob weltcup",
"porsche ag",
"julian reichelt",
"hambu... | 1 | 3D (press for 2D) | PCA | KMeans | d721f73f8fb8464fa0e9e5fa24fbf00a | nomic-ai/nomic-embed-text-v1.5 | [
"unfall rodelbahn bramberg",
"zdf doku",
"alaska flugzeugabsturz",
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"donald trump super bowl",
"pizzeria flensburg explosion",
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"die vertrauensfrage",
"john cooney boxer",
"lillehammer bob weltcup",
"porsche ag",
"julian reichelt",
"hambu... | 1 | 3D (press for 2D) | PCA | KMeans | |||
1,739,309,821.2778 | clustering | rightvote | [
"",
""
] | 85d454f33a234881beeff10b7e86fd3b | sentence-transformers/all-MiniLM-L6-v2 | [
"Gemini",
"Libra",
"Aquarius",
"Aries",
"Capricorn",
"Scorpio",
"Virgo",
"KFC",
"McDonald's",
"Burger King",
"Wendy's",
"Taco Bell",
"Subway",
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"Apple",
"Google",
"OnePlus",
"LG",
"Huawei",
"salsa",
"jazz",
"ballet",
"ballroom",
"contemporary",
... | 6 | 3D (press for 2D) | PCA | KMeans | 4ec262869f074b5881f208b29d7ce64a | jinaai/jina-embeddings-v2-base-en | [
"Gemini",
"Libra",
"Aquarius",
"Aries",
"Capricorn",
"Scorpio",
"Virgo",
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"Apple",
"Google",
"OnePlus",
"LG",
"Huawei",
"salsa",
"jazz",
"ballet",
"ballroom",
"contemporary",
... | 6 | 3D (press for 2D) | PCA | KMeans | |||
1,739,389,833.1046 | clustering | leftvote | [
"",
""
] | 17040b6f3fb54b2d8d45ad8fa23457b5 | intfloat/e5-mistral-7b-instruct | [
"If someone online buys something off of my Amazon wish list, do they get my full name and address?",
"Package \"In Transit\" over a week. No scheduled delivery date, no locations. What's up?",
"Can Amazon gift cards replace a debit card?",
"Homesick GWS star Cameron McCarthy on road to recovery",
"Accident... | 2 | 3D (press for 2D) | PCA | KMeans | 51c53498d8574c508fa81fb09b3509f4 | GritLM/GritLM-7B | [
"If someone online buys something off of my Amazon wish list, do they get my full name and address?",
"Package \"In Transit\" over a week. No scheduled delivery date, no locations. What's up?",
"Can Amazon gift cards replace a debit card?",
"Homesick GWS star Cameron McCarthy on road to recovery",
"Accident... | 2 | 3D (press for 2D) | PCA | KMeans | |||
1,739,390,360.4566 | clustering | rightvote | [
"",
""
] | 84fcf2a97fd34e899ebcf35add81757f | Salesforce/SFR-Embedding-2_R | [
"Supreme Leader (Amir al-Mu'minin): Hibatullah Akhundzada Appointed as the supreme leader in 2016, Akhundzada has maintained his position following the Taliban's return to power in Afghanistan in August 2021. Prime Minister: Hasan Akhund Serving as the acting Prime Minister, Akhund has been a prominent figure with... | 5 | 3D (press for 2D) | UMAP | KMeans | 8975c66f5b2e4cbfa55a97344b01e769 | intfloat/e5-mistral-7b-instruct | [
"Supreme Leader (Amir al-Mu'minin): Hibatullah Akhundzada Appointed as the supreme leader in 2016, Akhundzada has maintained his position following the Taliban's return to power in Afghanistan in August 2021. Prime Minister: Hasan Akhund Serving as the acting Prime Minister, Akhund has been a prominent figure with... | 5 | 3D (press for 2D) | UMAP | KMeans | |||
1,739,390,396.4349 | clustering | bothbadvote | [
"",
""
] | f0fde384572b4ddd8e4cc5b6dcda7e5d | intfloat/e5-mistral-7b-instruct | [
"Al-Qaeda: Emir (Leader): Saif al-Adel, a former Egyptian army officer and long-standing member of Al-Qaeda, is believed to have assumed leadership following the death of Ayman al-Zawahiri in July 2022. As of February 2023, reports indicate he is operating from Iran. ",
" Deputy Leader: Abu Abd al-Karim al-Masri,... | 5 | 3D (press for 2D) | UMAP | KMeans | ff93a06f1f0f40eba5c802b5dcac513d | text-embedding-3-large | [
"Al-Qaeda: Emir (Leader): Saif al-Adel, a former Egyptian army officer and long-standing member of Al-Qaeda, is believed to have assumed leadership following the death of Ayman al-Zawahiri in July 2022. As of February 2023, reports indicate he is operating from Iran. ",
" Deputy Leader: Abu Abd al-Karim al-Masri,... | 5 | 3D (press for 2D) | UMAP | KMeans | |||
1,739,390,424.6199 | clustering | bothbadvote | [
"",
""
] | ff5a84ad626d4d4fb9c8b9cb8ba2cb6e | mixedbread-ai/mxbai-embed-large-v1 | [
"Al-Qaeda: Emir (Leader): Saif al-Adel, a former Egyptian army officer and long-standing member of Al-Qaeda, is believed to have assumed leadership following the death of Ayman al-Zawahiri in July 2022. As of February 2023, reports indicate he is operating from Iran. ",
" Deputy Leader: Abu Abd al-Karim al-Masri,... | 5 | 3D (press for 2D) | PCA | KMeans | 45a32c4ac4524e41a95a9c608cdecc69 | jinaai/jina-embeddings-v2-base-en | [
"Al-Qaeda: Emir (Leader): Saif al-Adel, a former Egyptian army officer and long-standing member of Al-Qaeda, is believed to have assumed leadership following the death of Ayman al-Zawahiri in July 2022. As of February 2023, reports indicate he is operating from Iran. ",
" Deputy Leader: Abu Abd al-Karim al-Masri,... | 5 | 3D (press for 2D) | PCA | KMeans | |||
1,739,390,450.4268 | clustering | bothbadvote | [
"",
""
] | 084ea9fbe12441dfa97409142aa229d7 | Salesforce/SFR-Embedding-2_R | [
"Al-Qaeda: Emir (Leader): Saif al-Adel, a former Egyptian army officer and long-standing member of Al-Qaeda, is believed to have assumed leadership following the death of Ayman al-Zawahiri in July 2022. As of February 2023, reports indicate he is operating from Iran. ",
" Deputy Leader: Abu Abd al-Karim al-Masri,... | 3 | 3D (press for 2D) | PCA | KMeans | f401f49be4ba4b5a9417bd98df930ef9 | mixedbread-ai/mxbai-embed-large-v1 | [
"Al-Qaeda: Emir (Leader): Saif al-Adel, a former Egyptian army officer and long-standing member of Al-Qaeda, is believed to have assumed leadership following the death of Ayman al-Zawahiri in July 2022. As of February 2023, reports indicate he is operating from Iran. ",
" Deputy Leader: Abu Abd al-Karim al-Masri,... | 3 | 3D (press for 2D) | PCA | KMeans | |||
1,722,266,426.4606 | clustering | tievote | [
"",
""
] | 8231665ecd594c86b9bee0001d5e989c | BAAI/bge-large-en-v1.5 | [
"Pikachu",
"Darth Vader",
"Yoda",
"Squirtle",
"Gandalf",
"Legolas",
"Mickey Mouse",
"Donald Duck",
"Charizard"
] | 4 | 3D (press for 2D) | PCA | KMeans | c2047173c4764d6ebfaf1db67e37ed7d | GritLM/GritLM-7B | [
"Pikachu",
"Darth Vader",
"Yoda",
"Squirtle",
"Gandalf",
"Legolas",
"Mickey Mouse",
"Donald Duck",
"Charizard"
] | 4 | 3D (press for 2D) | PCA | KMeans | |||
1,722,266,465.3044 | clustering | tievote | [
"",
""
] | e40f45b38d8d4568a17340ab5c831eda | intfloat/multilingual-e5-large-instruct | [
"Tesla’s Model 3 will boast a 200-mile or greater range, cost $35,000",
"How to Buy an Android Car DVD with GPS Navigation?",
"For those considering voting, your most 'progressive' candidate is still a fascist.",
"She's plotting her revenge guys, help!",
"Bandar Bola - Apa Sucker Akan Beli Obligasi Lotus Es... | 3 | 3D (press for 2D) | PCA | KMeans | e7b78554b50d469abeebf74e9aef95f0 | text-embedding-3-large | [
"Tesla’s Model 3 will boast a 200-mile or greater range, cost $35,000",
"How to Buy an Android Car DVD with GPS Navigation?",
"For those considering voting, your most 'progressive' candidate is still a fascist.",
"She's plotting her revenge guys, help!",
"Bandar Bola - Apa Sucker Akan Beli Obligasi Lotus Es... | 3 | 3D (press for 2D) | PCA | KMeans | |||
1,753,052,284.8331 | clustering | leftvote | [
"",
""
] | 2a243891f3774860b53beca8be574014 | sentence-transformers/all-MiniLM-L6-v2 | [
"documentary",
"thriller",
"comedy",
"horror",
"drama",
"action",
"bistro",
"sushi bar",
"buffet",
"cafe",
"steakhouse",
"igneous",
"metamorphic",
"Firefox"
] | 4 | 3D (press for 2D) | PCA | KMeans | 93c69bdf50174954be092b54ead3a85b | embed-english-v3.0 | [
"documentary",
"thriller",
"comedy",
"horror",
"drama",
"action",
"bistro",
"sushi bar",
"buffet",
"cafe",
"steakhouse",
"igneous",
"metamorphic",
"Firefox"
] | 4 | 3D (press for 2D) | PCA | KMeans | |||
1,753,289,753.3846 | clustering | bothbadvote | [
"",
""
] | 950f0b82140a49fd976b0af622905e18 | voyage-multilingual-2 | [
"leather",
"cotton",
"silk",
"Egyptian",
"Norse",
"Greek",
"summer",
"fall",
"spring",
"ready",
"pages",
"ball",
"dinner party"
] | 4 | 3D (press for 2D) | PCA | KMeans | 5d4f3062aa204268a00a5ade9c58cd6e | BAAI/bge-large-en-v1.5 | [
"leather",
"cotton",
"silk",
"Egyptian",
"Norse",
"Greek",
"summer",
"fall",
"spring",
"ready",
"pages",
"ball",
"dinner party"
] | 4 | 3D (press for 2D) | PCA | KMeans | |||
1,732,204,561.614 | clustering | tievote | [
"",
""
] | 59607ba49a8b4354af998287f00ed8d2 | text-embedding-004 | [
"dome",
"volcanic",
"fold",
"water filter",
"camping stove",
"sleeping bag",
"backpack"
] | 2 | 3D (press for 2D) | PCA | KMeans | 1d70af55f8ee494b8c9f36a8d4624455 | GritLM/GritLM-7B | [
"dome",
"volcanic",
"fold",
"water filter",
"camping stove",
"sleeping bag",
"backpack"
] | 2 | 3D (press for 2D) | PCA | KMeans | |||
1,732,204,601.987 | clustering | rightvote | [
"",
""
] | 713bf09423a4417a8720caf32aa794ec | embed-english-v3.0 | [
"drought",
"hurricane",
"tornado",
"fog",
"Brachiosaurus",
"Velociraptor",
"Pteranodon",
"Tyrannosaurus",
"B",
"O"
] | 3 | 3D (press for 2D) | PCA | KMeans | a8d8b1a640da47dc9c09ad6051d61127 | intfloat/multilingual-e5-large-instruct | [
"drought",
"hurricane",
"tornado",
"fog",
"Brachiosaurus",
"Velociraptor",
"Pteranodon",
"Tyrannosaurus",
"B",
"O"
] | 3 | 3D (press for 2D) | PCA | KMeans | |||
1,732,238,310.0725 | clustering | rightvote | [
"",
""
] | 0ff0ccb84b894574b425fc722a8543de | voyage-multilingual-2 | [
"Gemini",
"Capricorn",
"Aquarius",
"Virgo",
"Cancer",
"Scorpio",
"Apple",
"Huawei",
"OnePlus",
"Xiaomi",
"fascism",
"conservatism",
"convex",
"prismatic",
"concave",
"progressive"
] | 4 | 3D (press for 2D) | PCA | KMeans | 3ad3bd16adfb4cadb656f11618f4ccd7 | Salesforce/SFR-Embedding-2_R | [
"Gemini",
"Capricorn",
"Aquarius",
"Virgo",
"Cancer",
"Scorpio",
"Apple",
"Huawei",
"OnePlus",
"Xiaomi",
"fascism",
"conservatism",
"convex",
"prismatic",
"concave",
"progressive"
] | 4 | 3D (press for 2D) | PCA | KMeans | |||
1,732,238,378.8878 | clustering | rightvote | [
"",
""
] | 1b4bd59bd371488d9cc89f7a29864095 | BAAI/bge-large-en-v1.5 | [
"grilling",
"steaming",
"boiling",
"orchid",
"lily",
"tulip",
"fusilli",
"penne",
"lasagna",
"ravioli",
"spaghetti",
"rupee",
"pound",
"euro",
"dollar",
"yen"
] | 4 | 3D (press for 2D) | PCA | KMeans | 501dc8c3ec2f4bdaa5bf0fa17858b20d | Alibaba-NLP/gte-Qwen2-7B-instruct | [
"grilling",
"steaming",
"boiling",
"orchid",
"lily",
"tulip",
"fusilli",
"penne",
"lasagna",
"ravioli",
"spaghetti",
"rupee",
"pound",
"euro",
"dollar",
"yen"
] | 4 | 3D (press for 2D) | PCA | KMeans | |||
1,732,304,023.1549 | clustering | leftvote | [
"",
""
] | 2abc17a5da724e04a9906b80218d6154 | Salesforce/SFR-Embedding-2_R | [
"Cygnus",
"Cassiopeia",
"Taurus",
"Orion",
"Ursa Major",
"Scorpius",
"Leo",
"Triceratops",
"Tyrannosaurus",
"Ankylosaurus",
"orange",
"kiwi",
"apple",
"grape",
"peach",
"mango",
"rupee",
"dollar",
"euro",
"pound",
"yuan"
] | 4 | 3D (press for 2D) | PCA | KMeans | ae1e9e7718c74de598c15e17bd4deb86 | jinaai/jina-embeddings-v2-base-en | [
"Cygnus",
"Cassiopeia",
"Taurus",
"Orion",
"Ursa Major",
"Scorpius",
"Leo",
"Triceratops",
"Tyrannosaurus",
"Ankylosaurus",
"orange",
"kiwi",
"apple",
"grape",
"peach",
"mango",
"rupee",
"dollar",
"euro",
"pound",
"yuan"
] | 4 | 3D (press for 2D) | PCA | KMeans | |||
1,750,699,359.1795 | clustering | leftvote | [
"",
""
] | f2ea5b85badb4ad386178e2e53cf5558 | mixedbread-ai/mxbai-embed-large-v1 | [
"carnation",
"tulip",
"lily",
"daisy",
"rose",
"sunflower",
"availability bias",
"anchoring bias",
"dunning-kruger effect",
"confirmation bias",
"hindsight bias",
"GMC",
"Tesla",
"Mercedes-Benz",
"hospital",
"shortage"
] | 4 | 3D (press for 2D) | PCA | KMeans | 01c65afead484d0390e0ba9832065432 | GritLM/GritLM-7B | [
"carnation",
"tulip",
"lily",
"daisy",
"rose",
"sunflower",
"availability bias",
"anchoring bias",
"dunning-kruger effect",
"confirmation bias",
"hindsight bias",
"GMC",
"Tesla",
"Mercedes-Benz",
"hospital",
"shortage"
] | 4 | 3D (press for 2D) | PCA | KMeans | |||
1,750,838,029.4887 | clustering | leftvote | [
"",
""
] | a29b868d216a4b3398208dee819c0d4e | intfloat/e5-mistral-7b-instruct | [
"peach",
"apple",
"orange",
"grape",
"mango",
"pear",
"Aquarius",
"Capricorn",
"Leo",
"Taurus",
"Libra",
"pumpernickel",
"ciabatta",
"Renaissance",
"Surrealism"
] | 4 | 3D (press for 2D) | PCA | KMeans | 159baddd3c684575993e452a52b51a15 | text-embedding-3-large | [
"peach",
"apple",
"orange",
"grape",
"mango",
"pear",
"Aquarius",
"Capricorn",
"Leo",
"Taurus",
"Libra",
"pumpernickel",
"ciabatta",
"Renaissance",
"Surrealism"
] | 4 | 3D (press for 2D) | PCA | KMeans | |||
1,730,903,999.328 | clustering | tievote | [
"",
""
] | 03f0f264892c41f280ec2b3492c22ef7 | BAAI/bge-large-en-v1.5 | [
"baseball cap",
"cowboy hat",
"beanie",
"convex",
"parabolic",
"basketball",
"volleyball"
] | 3 | 2D (press for 3D) | PCA | KMeans | 0901c93377d04d3eae507a7f87cddf94 | text-embedding-004 | [
"baseball cap",
"cowboy hat",
"beanie",
"convex",
"parabolic",
"basketball",
"volleyball"
] | 3 | 2D (press for 3D) | PCA | KMeans | |||
1,731,300,951.1924 | clustering | leftvote | [
"",
""
] | 0d6ab8d6646243afb9034accb33a4512 | mixedbread-ai/mxbai-embed-large-v1 | [
"Kia",
"GMC",
"BMW",
"Toyota",
"Volkswagen",
"griffin",
"werewolf",
"dragon",
"centaur",
"phoenix"
] | 2 | 3D (press for 2D) | PCA | KMeans | c2497af7547e443aacb6db06629c523e | sentence-transformers/all-MiniLM-L6-v2 | [
"Kia",
"GMC",
"BMW",
"Toyota",
"Volkswagen",
"griffin",
"werewolf",
"dragon",
"centaur",
"phoenix"
] | 2 | 3D (press for 2D) | PCA | KMeans | |||
1,731,301,000.4996 | clustering | tievote | [
"",
""
] | 34079265e88c4d67abf89568c6b233e8 | Alibaba-NLP/gte-Qwen2-7B-instruct | [
"Neptune",
"Mars",
"Uranus",
"Jupiter",
"Saturn",
"Volkswagen",
"Honda"
] | 2 | 3D (press for 2D) | UMAP | KMeans | 95c01e08b4924761ba0c3113432f6c4f | text-embedding-004 | [
"Neptune",
"Mars",
"Uranus",
"Jupiter",
"Saturn",
"Volkswagen",
"Honda"
] | 2 | 3D (press for 2D) | UMAP | KMeans | |||
1,731,301,092.2252 | clustering | bothbadvote | [
"",
""
] | db7ebb41ed5e48dba02c05548506bb6b | GritLM/GritLM-7B | [
"altostratus",
"cumulus",
"nimbus",
"stratus",
"Baroque",
"Impressionism",
"Cubism",
"Renaissance",
"Surrealism",
"giraffe",
"dolphin",
"koala",
"penguin",
"lion",
"elephant",
"tiger",
"Africa",
"North America",
"Asia",
"Australia",
"Europe",
"Antarctica"
] | 4 | 3D (press for 2D) | UMAP | KMeans | 03b92e5ea84e42c5b3d1858038f22763 | jinaai/jina-embeddings-v2-base-en | [
"altostratus",
"cumulus",
"nimbus",
"stratus",
"Baroque",
"Impressionism",
"Cubism",
"Renaissance",
"Surrealism",
"giraffe",
"dolphin",
"koala",
"penguin",
"lion",
"elephant",
"tiger",
"Africa",
"North America",
"Asia",
"Australia",
"Europe",
"Antarctica"
] | 4 | 3D (press for 2D) | UMAP | KMeans | |||
1,731,301,170.1285 | clustering | rightvote | [
"",
""
] | 5ac8044066dc4a198ffeb6c351cfc157 | sentence-transformers/all-MiniLM-L6-v2 | [
"pancreas",
"liver",
"brain",
"lungs",
"heart",
"fedora",
"beanie",
"beret",
"bowler",
"cowboy hat",
"fruit",
"mixed",
"livestock",
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"poultry",
"crop",
"Antarctica",
"Africa",
"Europe",
"GPU",
"CPU",
"hard drive",
"motherboard",
"power supply",
"SSD",
"R... | 5 | 3D (press for 2D) | PCA | KMeans | a7d8f41af3a14ec393a63fca6347223c | voyage-multilingual-2 | [
"pancreas",
"liver",
"brain",
"lungs",
"heart",
"fedora",
"beanie",
"beret",
"bowler",
"cowboy hat",
"fruit",
"mixed",
"livestock",
"vegetable",
"poultry",
"crop",
"Antarctica",
"Africa",
"Europe",
"GPU",
"CPU",
"hard drive",
"motherboard",
"power supply",
"SSD",
"R... | 5 | 3D (press for 2D) | PCA | KMeans | |||
1,731,301,280.8331 | clustering | leftvote | [
"",
""
] | 93f6dd066f4a4943ae360f6cfbf5c2c7 | embed-english-v3.0 | [
"trout",
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"composite",
"caldera",
"lava dome",
"cinder cone",
"shield",
"roasting",
"steaming",
"baking",
"grilling",
"boiling",
"sedimentary",
"metamorphic",
"igneous",
"Orion",
"Cygnus",
"Taurus"
] | 5 | 3D (press for 2D) | UMAP | KMeans | 895c17ab2a0c4ad1854a659cad74ac8d | intfloat/e5-mistral-7b-instruct | [
"trout",
"salmon",
"composite",
"caldera",
"lava dome",
"cinder cone",
"shield",
"roasting",
"steaming",
"baking",
"grilling",
"boiling",
"sedimentary",
"metamorphic",
"igneous",
"Orion",
"Cygnus",
"Taurus"
] | 5 | 3D (press for 2D) | UMAP | KMeans |
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