Search is not available for this dataset
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1,722,927,949.6768
clustering
rightvote
[ "", "" ]
f6d4c11bb17f4a54817d50b59d96c61c
mixedbread-ai/mxbai-embed-large-v1
[ "polar", "cold", "semi-arid", "coastal", "rye", "baguette", "focaccia", "brioche", "pumpernickel", "ciabatta", "sneakers", "high heels", "boots", "sandals" ]
3
3D (press for 2D)
PCA
KMeans
e985c61ccce643878de781f5c7782eb5
sentence-transformers/all-MiniLM-L6-v2
[ "polar", "cold", "semi-arid", "coastal", "rye", "baguette", "focaccia", "brioche", "pumpernickel", "ciabatta", "sneakers", "high heels", "boots", "sandals" ]
3
3D (press for 2D)
PCA
KMeans
1,722,937,341.1871
clustering
leftvote
[ "", "" ]
2d5d3a925f494e73a7ec44ec821d1335
voyage-multilingual-2
[ "Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco" ]
2
3D (press for 2D)
PCA
KMeans
5f0d0c3829ae43cea47c27b674125991
BAAI/bge-large-en-v1.5
[ "Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco" ]
2
3D (press for 2D)
PCA
KMeans
1,722,282,371.8069
clustering
leftvote
[ "", "" ]
92f1ddd406b34b1c9e9415d72da9f316
intfloat/multilingual-e5-large-instruct
[ "Pikachu", "Darth Vader", "Yoda", "Squirtle", "Gandalf", "Legolas", "Mickey Mouse", "Donald Duck", "Charizard" ]
4
3D (press for 2D)
PCA
KMeans
10957173cee142dbba2922f1af8b5a3b
embed-english-v3.0
[ "Pikachu", "Darth Vader", "Yoda", "Squirtle", "Gandalf", "Legolas", "Mickey Mouse", "Donald Duck", "Charizard" ]
4
3D (press for 2D)
PCA
KMeans
1,722,282,495.2203
clustering
leftvote
[ "", "" ]
347d0736c1ba4f68a5d6d5f67b571e06
intfloat/multilingual-e5-large-instruct
[ "Mars", "Soccer", "Copper", "Democracy", "Jupiter", "Basketball", "Silver", "Monarchy", "Saturn", "Tennis", "Gold", "Oligarchy" ]
4
2D (press for 3D)
PCA
KMeans
7d63eb033b0c457287d4d9ca30ef35f4
mixedbread-ai/mxbai-embed-large-v1
[ "Mars", "Soccer", "Copper", "Democracy", "Jupiter", "Basketball", "Silver", "Monarchy", "Saturn", "Tennis", "Gold", "Oligarchy" ]
4
2D (press for 3D)
PCA
KMeans
1,722,386,134.7533
clustering
leftvote
[ "", "" ]
25b43f955013495982a00c0da42ef257
text-embedding-004
[ "ballroom", "ballet", "tap", "hip-hop", "salsa", "contemporary", "hexagon", "rectangle", "pentagon", "square", "octagon", "triangle" ]
2
3D (press for 2D)
PCA
KMeans
4b7522c351d14332967dbc8e0ae4caa8
Salesforce/SFR-Embedding-2_R
[ "ballroom", "ballet", "tap", "hip-hop", "salsa", "contemporary", "hexagon", "rectangle", "pentagon", "square", "octagon", "triangle" ]
2
3D (press for 2D)
PCA
KMeans
1,722,404,126.8902
clustering
leftvote
[ "", "" ]
cc470de3cc674ef792cd2c0a377f625f
intfloat/multilingual-e5-large-instruct
[ "anchoring bias", "dunning-kruger effect", "Brachiosaurus", "Velociraptor", "Stegosaurus" ]
2
2D (press for 3D)
PCA
KMeans
4cc89be3fc55464fb627643664d10791
Salesforce/SFR-Embedding-2_R
[ "anchoring bias", "dunning-kruger effect", "Brachiosaurus", "Velociraptor", "Stegosaurus" ]
2
2D (press for 3D)
PCA
KMeans
1,729,986,043.322
clustering
leftvote
[ "", "" ]
31ba97804a4e489d8b96dd9260ca4362
voyage-multilingual-2
[ "octagon", "rectangle", "Temple of Artemis", "Colossus of Rhodes", "Statue of Zeus", "Lighthouse of Alexandria", "Hanging Gardens of Babylon", "Pyramids of Giza", "brunette", "black", "blonde", "redhead", "gray", "auburn", "white", "soccer", "basketball", "tennis", "baseball", "cricket", "ruby", "topaz", "diamond" ]
5
3D (press for 2D)
PCA
KMeans
b60c7051af954d01b730596ba361e499
BAAI/bge-large-en-v1.5
[ "octagon", "rectangle", "Temple of Artemis", "Colossus of Rhodes", "Statue of Zeus", "Lighthouse of Alexandria", "Hanging Gardens of Babylon", "Pyramids of Giza", "brunette", "black", "blonde", "redhead", "gray", "auburn", "white", "soccer", "basketball", "tennis", "baseball", "cricket", "ruby", "topaz", "diamond" ]
5
3D (press for 2D)
PCA
KMeans
1,730,310,913.4861
clustering
tievote
[ "", "" ]
26fd9e8263434a38b50f3aeaa658cfa8
text-embedding-004
[ "sedimentary", "metamorphic", "nebula", "comet", "asteroid", "planet", "black hole", "star", "galaxy", "muay thai", "karate", "jiu-jitsu", "kung fu", "taekwondo", "judo", "aikido" ]
3
3D (press for 2D)
UMAP
KMeans
da753fce02ed4b60a79938c0aed14776
mixedbread-ai/mxbai-embed-large-v1
[ "sedimentary", "metamorphic", "nebula", "comet", "asteroid", "planet", "black hole", "star", "galaxy", "muay thai", "karate", "jiu-jitsu", "kung fu", "taekwondo", "judo", "aikido" ]
3
3D (press for 2D)
UMAP
KMeans
1,725,632,290.809
clustering
tievote
[ "", "" ]
0ba6cd3d56e84301b747194182f8c0d5
Salesforce/SFR-Embedding-2_R
[ "Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco" ]
2
3D (press for 2D)
PCA
KMeans
00df5477340248e388f84d866168e120
jinaai/jina-embeddings-v2-base-en
[ "Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco" ]
2
3D (press for 2D)
PCA
KMeans
1,725,746,522.1025
clustering
tievote
[ "", "" ]
f572473d732b4bb88a0f1c30586bdc43
text-embedding-004
[ "Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco" ]
2
3D (press for 2D)
PCA
KMeans
8734540a774f4dd0b0b18b83d1cacecf
GritLM/GritLM-7B
[ "Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco" ]
2
3D (press for 2D)
PCA
KMeans
1,725,777,116.9586
clustering
bothbadvote
[ "", "" ]
f48e0fe9c3b444679cde3a66d5993172
jinaai/jina-embeddings-v2-base-en
[ "rectangle", "circle", "pentagon", "oak", "willow", "pine", "birch", "polar", "cold", "semi-arid", "composite", "shield", "cinder cone", "caldera", "lava dome", "Brave", "Firefox", "Chrome", "Opera" ]
5
3D (press for 2D)
PCA
KMeans
39a0ae36417743dbb4f59b21e6bd3369
Salesforce/SFR-Embedding-2_R
[ "rectangle", "circle", "pentagon", "oak", "willow", "pine", "birch", "polar", "cold", "semi-arid", "composite", "shield", "cinder cone", "caldera", "lava dome", "Brave", "Firefox", "Chrome", "Opera" ]
5
3D (press for 2D)
PCA
KMeans
1,725,777,170.6205
clustering
leftvote
[ "", "" ]
3e585274335a4748a16ee5493eba8e82
nomic-ai/nomic-embed-text-v1.5
[ "nebula", "galaxy", "asteroid", "comet", "gray", "brunette", "redhead", "blonde", "progressive", "convex", "toric", "concave", "ballad", "haiku", "sonnet", "ode" ]
4
3D (press for 2D)
PCA
KMeans
8b98a160849e4c0cb11baffd745b1390
intfloat/multilingual-e5-large-instruct
[ "nebula", "galaxy", "asteroid", "comet", "gray", "brunette", "redhead", "blonde", "progressive", "convex", "toric", "concave", "ballad", "haiku", "sonnet", "ode" ]
4
3D (press for 2D)
PCA
KMeans
1,725,777,281.7312
clustering
tievote
[ "", "" ]
d9191dfc6ad4488b9d050d1bdff5015d
GritLM/GritLM-7B
[ "canoe", "catamaran", "sailboat", "kayak", "motorboat", "brain", "stomach", "lungs", "heart", "kidneys", "liver", "pancreas", "triangle", "pentagon", "rectangle", "hexagon", "circle", "square", "octagon", "Leo", "Taurus", "Orion", "Scorpius", "Cassiopeia", "Ursa Major", "hydrogen", "oxygen" ]
5
3D (press for 2D)
PCA
KMeans
b740c6f569aa44cba0bf49bcf288323d
Salesforce/SFR-Embedding-2_R
[ "canoe", "catamaran", "sailboat", "kayak", "motorboat", "brain", "stomach", "lungs", "heart", "kidneys", "liver", "pancreas", "triangle", "pentagon", "rectangle", "hexagon", "circle", "square", "octagon", "Leo", "Taurus", "Orion", "Scorpius", "Cassiopeia", "Ursa Major", "hydrogen", "oxygen" ]
5
3D (press for 2D)
PCA
KMeans
1,722,367,036.7553
clustering
rightvote
[ "", "" ]
1e22b57c96ae43d8ba94cae6ac46e428
embed-english-v3.0
[ "A", "O", "caldera", "composite", "shield", "elephant", "giraffe", "penguin", "tiger", "lion", "dolphin", "square", "rectangle", "circle", "hexagon", "triangle", "octagon", "Ursa Major", "Cygnus", "Cassiopeia", "Leo", "Scorpius", "Taurus", "Orion" ]
5
2D (press for 3D)
PCA
KMeans
1d7ff0ec14534a8a8e417bc5e41188f7
GritLM/GritLM-7B
[ "A", "O", "caldera", "composite", "shield", "elephant", "giraffe", "penguin", "tiger", "lion", "dolphin", "square", "rectangle", "circle", "hexagon", "triangle", "octagon", "Ursa Major", "Cygnus", "Cassiopeia", "Leo", "Scorpius", "Taurus", "Orion" ]
5
2D (press for 3D)
PCA
KMeans
1,722,370,311.0017
clustering
rightvote
[ "", "" ]
a98d588c2a494ea7857ef6e48f0f7bc1
text-embedding-004
[ "macchiato", "latte", "mocha", "cappuccino", "cold brew", "Norse", "Roman", "Egyptian", "Chinese", "Greek" ]
2
3D (press for 2D)
PCA
KMeans
97b4c19ddeba43febef5773f09bdb49c
Salesforce/SFR-Embedding-2_R
[ "macchiato", "latte", "mocha", "cappuccino", "cold brew", "Norse", "Roman", "Egyptian", "Chinese", "Greek" ]
2
3D (press for 2D)
PCA
KMeans
1,722,377,378.7801
clustering
tievote
[ "", "" ]
d75c178f71aa4029b483e659345f2810
intfloat/multilingual-e5-large-instruct
[ "Pikachu", "Darth Vader", "Yoda", "Squirtle", "Gandalf", "Legolas", "Mickey Mouse", "Donald Duck", "Charizard" ]
4
3D (press for 2D)
PCA
KMeans
0791968853c24b55ac4ee1321eee3890
text-embedding-3-large
[ "Pikachu", "Darth Vader", "Yoda", "Squirtle", "Gandalf", "Legolas", "Mickey Mouse", "Donald Duck", "Charizard" ]
4
3D (press for 2D)
PCA
KMeans
1,722,377,394.61
clustering
rightvote
[ "", "" ]
3697c5fd2c0f48549f3c1446b5a227ff
BAAI/bge-large-en-v1.5
[ "flats", "boots", "loafers", "sneakers", "sandals", "high heels", "Twitter", "Instagram", "LinkedIn", "Facebook", "topaz", "emerald", "car", "train" ]
4
3D (press for 2D)
PCA
KMeans
5eac0c7f00fe4000ac0b13aeb504e31d
intfloat/e5-mistral-7b-instruct
[ "flats", "boots", "loafers", "sneakers", "sandals", "high heels", "Twitter", "Instagram", "LinkedIn", "Facebook", "topaz", "emerald", "car", "train" ]
4
3D (press for 2D)
PCA
KMeans
1,722,377,407.9489
clustering
tievote
[ "", "" ]
b47a798fe77b470ab1c1c822619287eb
embed-english-v3.0
[ "blonde", "brunette", "gray", "auburn", "white", "redhead", "black", "buffet", "fast casual", "cafe", "sushi bar", "fine dining", "steakhouse" ]
2
3D (press for 2D)
PCA
KMeans
cf28dc4c48b448ffa18fdf582654c815
intfloat/multilingual-e5-large-instruct
[ "blonde", "brunette", "gray", "auburn", "white", "redhead", "black", "buffet", "fast casual", "cafe", "sushi bar", "fine dining", "steakhouse" ]
2
3D (press for 2D)
PCA
KMeans
1,722,377,421.3814
clustering
leftvote
[ "", "" ]
b5fa73c33ab845f69a839a9c35faee7f
voyage-multilingual-2
[ "fall", "summer", "winter", "hurricane", "hailstorm", "thunderstorm", "fog", "blizzard", "tornado", "triangle", "pentagon", "hexagon", "saxophone", "bassoon", "semi-arid", "coastal", "cold" ]
5
3D (press for 2D)
PCA
KMeans
610e83de059e496fb03afa70d8d905b0
sentence-transformers/all-MiniLM-L6-v2
[ "fall", "summer", "winter", "hurricane", "hailstorm", "thunderstorm", "fog", "blizzard", "tornado", "triangle", "pentagon", "hexagon", "saxophone", "bassoon", "semi-arid", "coastal", "cold" ]
5
3D (press for 2D)
PCA
KMeans
1,722,377,446.2025
clustering
tievote
[ "", "" ]
fb373bc4a5024315b398902a1aba49e9
mixedbread-ai/mxbai-embed-large-v1
[ "muay thai", "kung fu", "rupee", "yen", "bass", "mackerel", "trout" ]
3
3D (press for 2D)
PCA
KMeans
b978f54eb46d43958c35fe696b370749
Salesforce/SFR-Embedding-2_R
[ "muay thai", "kung fu", "rupee", "yen", "bass", "mackerel", "trout" ]
3
3D (press for 2D)
PCA
KMeans
1,722,377,503.3609
clustering
rightvote
[ "", "" ]
40ec871225ac4867a36c829fb567cb66
sentence-transformers/all-MiniLM-L6-v2
[ "Uranus", "Saturn", "Venus", "Earth", "Jupiter", "Neptune", "Mercury", "Mars", "denim", "polyester", "wool", "leather", "silk", "judo", "jiu-jitsu", "muay thai", "karate" ]
3
3D (press for 2D)
PCA
KMeans
0cab3fa8cb834f3da653e0d975a34ffd
text-embedding-3-large
[ "Uranus", "Saturn", "Venus", "Earth", "Jupiter", "Neptune", "Mercury", "Mars", "denim", "polyester", "wool", "leather", "silk", "judo", "jiu-jitsu", "muay thai", "karate" ]
3
3D (press for 2D)
PCA
KMeans
1,722,377,513.9379
clustering
tievote
[ "", "" ]
71f8f333ef3c4fcd9632589f4a321168
intfloat/e5-mistral-7b-instruct
[ "Cassiopeia", "Orion", "Ursa Major", "Leo", "Taurus", "Scorpius", "Cygnus", "sapphire", "amethyst", "topaz", "emerald", "opal", "Australia", "Europe", "Africa" ]
3
3D (press for 2D)
PCA
KMeans
ed5d75165ef749faaed54b6863c1dc20
intfloat/multilingual-e5-large-instruct
[ "Cassiopeia", "Orion", "Ursa Major", "Leo", "Taurus", "Scorpius", "Cygnus", "sapphire", "amethyst", "topaz", "emerald", "opal", "Australia", "Europe", "Africa" ]
3
3D (press for 2D)
PCA
KMeans
1,722,377,569.7391
clustering
tievote
[ "", "" ]
b05c7f7456af476eab055dc6fcb42b8d
Salesforce/SFR-Embedding-2_R
[ "biology", "geography", "chemistry", "Tyrannosaurus", "Triceratops", "Pteranodon", "Stegosaurus", "Brachiosaurus", "Velociraptor", "Ankylosaurus", "suspension", "beam", "summer", "winter", "fall", "spring", "Jupiter", "Earth" ]
5
3D (press for 2D)
PCA
KMeans
7727f8450c0645af96e2e0fc3a9fda79
mixedbread-ai/mxbai-embed-large-v1
[ "biology", "geography", "chemistry", "Tyrannosaurus", "Triceratops", "Pteranodon", "Stegosaurus", "Brachiosaurus", "Velociraptor", "Ankylosaurus", "suspension", "beam", "summer", "winter", "fall", "spring", "Jupiter", "Earth" ]
5
3D (press for 2D)
PCA
KMeans
1,722,544,433.5079
clustering
rightvote
[ "", "" ]
39717c6a32f746e688ce69575be3c8d0
mixedbread-ai/mxbai-embed-large-v1
[ "sandals", "boots", "loafers", "flats", "high heels", "kiwi", "banana", "country", "classical", "hip-hop", "electronic", "jazz", "rock" ]
3
3D (press for 2D)
PCA
KMeans
de820e41944e4b648d78b3389cc74685
embed-english-v3.0
[ "sandals", "boots", "loafers", "flats", "high heels", "kiwi", "banana", "country", "classical", "hip-hop", "electronic", "jazz", "rock" ]
3
3D (press for 2D)
PCA
KMeans
1,722,544,559.5543
clustering
leftvote
[ "", "" ]
8383f4e86f7e45bf93de79d3afd7e00a
text-embedding-3-large
[ "Facebook", "LinkedIn", "TikTok", "Instagram", "Snapchat", "Pinterest", "Twitter", "judo", "karate", "kung fu", "taekwondo", "aikido", "sailboat", "kayak", "fold", "plateau", "volcanic" ]
4
3D (press for 2D)
PCA
KMeans
f60ef5656d2346798bc0cba646f63702
GritLM/GritLM-7B
[ "Facebook", "LinkedIn", "TikTok", "Instagram", "Snapchat", "Pinterest", "Twitter", "judo", "karate", "kung fu", "taekwondo", "aikido", "sailboat", "kayak", "fold", "plateau", "volcanic" ]
4
3D (press for 2D)
PCA
KMeans
1,722,582,734.4937
clustering
bothbadvote
[ "", "" ]
ee3ac4d486804d358dc9e6dd753835c5
intfloat/e5-mistral-7b-instruct
[ "Tagesschau", "Spiegel", "Süddeutsche Zeitung", "Bild", "Welt", "Frankfurter Allgemeine Zeitung" ]
2
3D (press for 2D)
PCA
KMeans
3b2826cf43a0465c81431ee523f768d7
text-embedding-3-large
[ "Tagesschau", "Spiegel", "Süddeutsche Zeitung", "Bild", "Welt", "Frankfurter Allgemeine Zeitung" ]
2
3D (press for 2D)
PCA
KMeans
1,728,464,031.8397
clustering
bothbadvote
[ "", "" ]
19bce6ee0b784517bd11745d0fe27601
jinaai/jina-embeddings-v2-base-en
[ "AI Development", "Word Examples", "Guided LMM and Prompt Chaining", "Word Count", "Business Classification", "Riddle", "Music", "Video Tutorial", "Political Discussion", "Sports and Recreation", "Business Strategy", "Image Request", "Recipe Suggestion", "Support Request", "Text-to-Speech", "Higher Education", "AI Analogy", "Language Style", "Image Generation", "Prohibited Content", "Historical Data" ]
6
3D (press for 2D)
PCA
KMeans
f911ae1105e340bcab425aa5cc3d1447
voyage-multilingual-2
[ "AI Development", "Word Examples", "Guided LMM and Prompt Chaining", "Word Count", "Business Classification", "Riddle", "Music", "Video Tutorial", "Political Discussion", "Sports and Recreation", "Business Strategy", "Image Request", "Recipe Suggestion", "Support Request", "Text-to-Speech", "Higher Education", "AI Analogy", "Language Style", "Image Generation", "Prohibited Content", "Historical Data" ]
6
3D (press for 2D)
PCA
KMeans
1,728,464,219.5399
clustering
rightvote
[ "", "" ]
8cf19301b1f9481fb4946f3c17bbb09f
nomic-ai/nomic-embed-text-v1.5
[ "Word Examples", "Guided LMM and Prompt Chaining", "Word Count", "Business Classification", "Riddle", "Music", "Video Tutorial", "Political Discussion", "Sports and Recreation", "Business Strategy", "Image Request", "Recipe Suggestion", "Support Request", "Text-to-Speech", "Higher Education", "AI Analogy", "Language Style", "Image Generation", "Prohibited Content", "Historical Data", "Guided LMM and Prompt Chaining", "Word Count", "Business Classification", "Riddle", "Music", "Video Tutorial", "Political Discussion", "Sports and Recreation", "Business Strategy", "Image Request", "Recipe Suggestion", "Support Request", "Text-to-Speech", "Higher Education", "AI Analogy", "Language Style", "Image Generation" ]
12
3D (press for 2D)
PCA
KMeans
9e68fd63f3f046fca99ec714d39c3298
Salesforce/SFR-Embedding-2_R
[ "Word Examples", "Guided LMM and Prompt Chaining", "Word Count", "Business Classification", "Riddle", "Music", "Video Tutorial", "Political Discussion", "Sports and Recreation", "Business Strategy", "Image Request", "Recipe Suggestion", "Support Request", "Text-to-Speech", "Higher Education", "AI Analogy", "Language Style", "Image Generation", "Prohibited Content", "Historical Data", "Guided LMM and Prompt Chaining", "Word Count", "Business Classification", "Riddle", "Music", "Video Tutorial", "Political Discussion", "Sports and Recreation", "Business Strategy", "Image Request", "Recipe Suggestion", "Support Request", "Text-to-Speech", "Higher Education", "AI Analogy", "Language Style", "Image Generation" ]
12
3D (press for 2D)
PCA
KMeans
1,722,276,389.1412
clustering
rightvote
[ "", "" ]
43c489a3ea3b416a9f2a53a958772d36
mixedbread-ai/mxbai-embed-large-v1
[ "Programming a Dash botton to send a pre-written email?", "Patch burning leads to a huge WTF moment.", "\"Your Amazon.com order cannot be shipped\". Please help", "Star of the Week-it's a TV star too...", "An SVD in the Snow" ]
3
2D (press for 3D)
PCA
KMeans
13c44d86f6eb440dbf1db653df2343cf
text-embedding-3-large
[ "Programming a Dash botton to send a pre-written email?", "Patch burning leads to a huge WTF moment.", "\"Your Amazon.com order cannot be shipped\". Please help", "Star of the Week-it's a TV star too...", "An SVD in the Snow" ]
3
2D (press for 3D)
PCA
KMeans
1,724,792,138.7151
clustering
tievote
[ "", "" ]
2fff3c6bcce14b78877416cbfbd4fa49
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
45e29e27019a4c24aaa75645ba107e17
GritLM/GritLM-7B
[ "Pikachu", "Darth Vader", "Yoda", "Squirtle", "Gandalf", "Legolas", "Mickey Mouse", "Donald Duck", "Charizard" ]
4
3D (press for 2D)
PCA
KMeans
1,724,794,375.4878
clustering
rightvote
[ "", "" ]
909f678cde054e60bde9d11d874f6b1f
Alibaba-NLP/gte-Qwen2-7B-instruct
[ "bioelectricity", "chem", "phys" ]
1
3D (press for 2D)
PCA
KMeans
7d492e7564874d69bc629b63cda7d485
intfloat/e5-mistral-7b-instruct
[ "bioelectricity", "chem", "phys" ]
1
3D (press for 2D)
PCA
KMeans
1,726,258,865.3726
clustering
leftvote
[ "", "" ]
d97929e2717145a0affbeea71fc1c197
mixedbread-ai/mxbai-embed-large-v1
[ "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", "Accidently ordered 2 of an item, how do I only return 1? For free?", "Need help ASAP, someone ordering in my account", "So who's everyone tipping for Round 1?" ]
2
3D (press for 2D)
PCA
KMeans
1de37c39339e4037ba4f11c597751749
BAAI/bge-large-en-v1.5
[ "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", "Accidently ordered 2 of an item, how do I only return 1? For free?", "Need help ASAP, someone ordering in my account", "So who's everyone tipping for Round 1?" ]
2
3D (press for 2D)
PCA
KMeans
1,726,326,232.2237
clustering
bothbadvote
[ "", "" ]
0f347b84e05543d4ac17a899e0930810
nomic-ai/nomic-embed-text-v1.5
[ "Pussy is great, I love licking pussy", "Pussy is great, I love licking pussyv Rules (Play the video for an explanation ➡️)\nInput & submit texts one-by-one to two anonymous models & vote which clusters them better.\nYou can enter >1 texts at once if you separate them with ", " like in the examples.\nIf you specify a number of clusters >1, a KMeans will be trained on the embeddings and clusters colored according to its predictions.\nClusters are 1D for 1 text, 2D for 2-3 texts, 3D for >3 texts.\nYou have to enter at least 3 texts, else cluster qualities cannot be judged.\n👇 Vote now!" ]
4
3D (press for 2D)
PCA
KMeans
0941baa16d8b4392a6f4332d76d6994c
GritLM/GritLM-7B
[ "Pussy is great, I love licking pussy", "Pussy is great, I love licking pussyv Rules (Play the video for an explanation ➡️)\nInput & submit texts one-by-one to two anonymous models & vote which clusters them better.\nYou can enter >1 texts at once if you separate them with ", " like in the examples.\nIf you specify a number of clusters >1, a KMeans will be trained on the embeddings and clusters colored according to its predictions.\nClusters are 1D for 1 text, 2D for 2-3 texts, 3D for >3 texts.\nYou have to enter at least 3 texts, else cluster qualities cannot be judged.\n👇 Vote now!" ]
4
3D (press for 2D)
PCA
KMeans
1,722,310,865.1737
clustering
tievote
[ "", "" ]
27540354989c4194bafd0930900e26c7
intfloat/multilingual-e5-large-instruct
[ "topaz", "amethyst", "diamond", "emerald", "ruby", "opal", "elm", "oak", "cedar", "maple", "mackerel", "tuna", "orchid", "rose", "daisy", "lily", "sunflower" ]
4
3D (press for 2D)
PCA
KMeans
2ece1304a5c040e69507bc9c237d0712
intfloat/multilingual-e5-large-instruct
[ "topaz", "amethyst", "diamond", "emerald", "ruby", "opal", "elm", "oak", "cedar", "maple", "mackerel", "tuna", "orchid", "rose", "daisy", "lily", "sunflower" ]
4
3D (press for 2D)
PCA
KMeans
1,722,354,938.3291
clustering
leftvote
[ "", "" ]
1db398f712f84d478f31a6cd2a450750
intfloat/multilingual-e5-large-instruct
[ "North America", "Asia", "linguine", "spaghetti", "lasagna", "fettuccine" ]
2
2D (press for 3D)
PCA
KMeans
ca7609be3f2d44a3a851fc4de73429fe
sentence-transformers/all-MiniLM-L6-v2
[ "North America", "Asia", "linguine", "spaghetti", "lasagna", "fettuccine" ]
2
2D (press for 3D)
PCA
KMeans
1,724,418,562.3504
clustering
tievote
[ "", "" ]
f04068d0b2c9420ba17da62b5dab336a
intfloat/e5-mistral-7b-instruct
[ "A", "B", "fear", "joy", "disgust", "anger", "surprise", "happiness", "cumulus", "altostratus", "cirrus" ]
3
2D (press for 3D)
PCA
KMeans
b8d23cc24afa4ee0a5da8db1a0aee1b2
Alibaba-NLP/gte-Qwen2-7B-instruct
[ "A", "B", "fear", "joy", "disgust", "anger", "surprise", "happiness", "cumulus", "altostratus", "cirrus" ]
3
2D (press for 3D)
PCA
KMeans
1,724,608,395.0632
clustering
tievote
[ "", "" ]
f56d7b47245149fcbb2aa3108882f5f7
Salesforce/SFR-Embedding-2_R
[ "Pikachu", "Darth Vader", "Yoda", "Squirtle", "Gandalf", "Legolas", "Mickey Mouse", "Donald Duck", "Charizard" ]
4
3D (press for 2D)
PCA
KMeans
3337ed20a2f640f9a0c01ae11a183edb
GritLM/GritLM-7B
[ "Pikachu", "Darth Vader", "Yoda", "Squirtle", "Gandalf", "Legolas", "Mickey Mouse", "Donald Duck", "Charizard" ]
4
3D (press for 2D)
PCA
KMeans
1,722,523,947.4992
clustering
rightvote
[ "", "" ]
87d24144100b4178817631dcf0a099ad
BAAI/bge-large-en-v1.5
[ "Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco" ]
2
3D (press for 2D)
PCA
KMeans
7a4073742c284c25966dccad707db8cb
sentence-transformers/all-MiniLM-L6-v2
[ "Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco" ]
2
3D (press for 2D)
PCA
KMeans
1,724,925,515.6668
clustering
rightvote
[ "", "" ]
6bba4dd845d4477f8b31eba092d7fa1b
sentence-transformers/all-MiniLM-L6-v2
[ "Mercedes-Benz", "BMW", "GMC", "Tesla", "Toyota", "Honda", "Volkswagen", "polystyrene", "polypropylene", "nylon", "flashlight", "camping stove", "sleeping bag", "compass", "water filter" ]
3
3D (press for 2D)
PCA
KMeans
e31407ac540e4497a2c0ec97a1b11db6
text-embedding-3-large
[ "Mercedes-Benz", "BMW", "GMC", "Tesla", "Toyota", "Honda", "Volkswagen", "polystyrene", "polypropylene", "nylon", "flashlight", "camping stove", "sleeping bag", "compass", "water filter" ]
3
3D (press for 2D)
PCA
KMeans
1,724,962,299.5343
clustering
rightvote
[ "", "" ]
cfde24324d694c9888ae40439369a127
nomic-ai/nomic-embed-text-v1.5
[ "bistro", "fine dining", "cafe", "buffet", "sushi bar", "fast casual", "steakhouse", "Xbox", "Atari", "PlayStation", "Nintendo" ]
2
2D (press for 3D)
PCA
KMeans
2f8f0a609f5c4c0fba50927cc48674f8
GritLM/GritLM-7B
[ "bistro", "fine dining", "cafe", "buffet", "sushi bar", "fast casual", "steakhouse", "Xbox", "Atari", "PlayStation", "Nintendo" ]
2
2D (press for 3D)
PCA
KMeans
1,724,962,364.6261
clustering
bothbadvote
[ "", "" ]
997d8b717b8c4f189ba32a18dd573da6
text-embedding-3-large
[ "shield", "composite", "cinder cone", "lava dome", "pumpernickel", "rye", "baguette", "ciabatta", "brioche", "focaccia", "sourdough", "Indian", "Arctic", "Southern", "Pacific", "Atlantic" ]
3
2D (press for 3D)
PCA
KMeans
3a02eb17dcea40c6993ae22c9bf0d490
sentence-transformers/all-MiniLM-L6-v2
[ "shield", "composite", "cinder cone", "lava dome", "pumpernickel", "rye", "baguette", "ciabatta", "brioche", "focaccia", "sourdough", "Indian", "Arctic", "Southern", "Pacific", "Atlantic" ]
3
2D (press for 3D)
PCA
KMeans
1,724,962,430.1922
clustering
leftvote
[ "", "" ]
615ebe92f37449cba5624e7c760e787a
intfloat/multilingual-e5-large-instruct
[ "hydroelectric", "biomass", "solar", "wind", "tidal", "geothermal", "chemistry", "mathematics", "biology", "physics", "history", "literature", "geography", "tennis", "basketball", "swimming", "soccer", "cricket", "volleyball", "baseball", "AWS", "DigitalOcean", "Google Cloud", "Oracle Cloud", "IBM Cloud", "calcium", "hydrogen" ]
5
2D (press for 3D)
PCA
KMeans
78dfda2d68d24c3aa7388629b5e481fd
nomic-ai/nomic-embed-text-v1.5
[ "hydroelectric", "biomass", "solar", "wind", "tidal", "geothermal", "chemistry", "mathematics", "biology", "physics", "history", "literature", "geography", "tennis", "basketball", "swimming", "soccer", "cricket", "volleyball", "baseball", "AWS", "DigitalOcean", "Google Cloud", "Oracle Cloud", "IBM Cloud", "calcium", "hydrogen" ]
5
2D (press for 3D)
PCA
KMeans
1,724,962,478.4863
clustering
leftvote
[ "", "" ]
dff68a60b5a340a79c69af537f24c32b
GritLM/GritLM-7B
[ "buffet", "sushi bar", "cafe", "steakhouse", "clarinet", "saxophone", "Lighthouse of Alexandria", "Colossus of Rhodes", "Pyramids of Giza", "Temple of Artemis", "Mausoleum at Halicarnassus", "linen", "wool", "silk", "denim", "leather" ]
4
2D (press for 3D)
PCA
KMeans
cd941f1dec6941c6a28032b28d94b781
mixedbread-ai/mxbai-embed-large-v1
[ "buffet", "sushi bar", "cafe", "steakhouse", "clarinet", "saxophone", "Lighthouse of Alexandria", "Colossus of Rhodes", "Pyramids of Giza", "Temple of Artemis", "Mausoleum at Halicarnassus", "linen", "wool", "silk", "denim", "leather" ]
4
2D (press for 3D)
PCA
KMeans
1,725,108,091.5591
clustering
rightvote
[ "", "" ]
130de3bce97e4a38a18b013b6a91b36d
Salesforce/SFR-Embedding-2_R
[ "flats", "high heels", "sandals", "boots", "Renaissance", "Abstract Expressionism", "Surrealism", "Impressionism", "Baroque", "marker", "pen" ]
3
3D (press for 2D)
PCA
KMeans
ed8b0c7c6695400fa23d7f1137ba91af
intfloat/multilingual-e5-large-instruct
[ "flats", "high heels", "sandals", "boots", "Renaissance", "Abstract Expressionism", "Surrealism", "Impressionism", "Baroque", "marker", "pen" ]
3
3D (press for 2D)
PCA
KMeans
1,723,537,022.381
clustering
rightvote
[ "", "" ]
6f8f3ee31b2f4a76b9c393538a2c4cd4
text-embedding-004
[ "water filter", "sleeping bag", "tent", "camping stove", "flashlight", "backpack", "nitrogen", "hydrogen", "calcium", "iron", "carbon", "oxygen", "classical", "country", "reggae", "jazz", "electronic", "rock" ]
3
3D (press for 2D)
PCA
KMeans
4276e84f4a32486b8041dddb8e036f79
embed-english-v3.0
[ "water filter", "sleeping bag", "tent", "camping stove", "flashlight", "backpack", "nitrogen", "hydrogen", "calcium", "iron", "carbon", "oxygen", "classical", "country", "reggae", "jazz", "electronic", "rock" ]
3
3D (press for 2D)
PCA
KMeans
1,723,537,063.3503
clustering
leftvote
[ "", "" ]
14a28c4de8364126b794fbd33b3efb9a
intfloat/multilingual-e5-large-instruct
[ "americano", "macchiato", "cold brew", "espresso", "gas", "solid" ]
2
3D (press for 2D)
PCA
KMeans
fb7f3d68fe9d408ea66bb106d257f4f0
BAAI/bge-large-en-v1.5
[ "americano", "macchiato", "cold brew", "espresso", "gas", "solid" ]
2
3D (press for 2D)
PCA
KMeans
1,723,537,092.4097
clustering
rightvote
[ "", "" ]
5eb4650b78024d97a994ab884abf39a2
intfloat/e5-mistral-7b-instruct
[ "baking", "roasting", "boiling", "Spanish", "French", "Arabic", "Russian", "English", "Hindi" ]
2
3D (press for 2D)
PCA
KMeans
1d943122db25477f9451a742183f91b9
intfloat/multilingual-e5-large-instruct
[ "baking", "roasting", "boiling", "Spanish", "French", "Arabic", "Russian", "English", "Hindi" ]
2
3D (press for 2D)
PCA
KMeans
1,723,538,460.2356
clustering
rightvote
[ "", "" ]
86e5675f25114ddd86d90a07b0d38817
Alibaba-NLP/gte-Qwen2-7B-instruct
[ "metamorphic", "igneous", "sedimentary", "loafers", "sneakers", "loafers", "flats", "sandals", "boots", "high heels", "romance", "documentary", "drama", "thriller", "comedy", "tennis", "swimming", "volleyball", "cricket", "soccer", "basketball", "claustrophobia", "acrophobia", "nyctophobia", "arachnophobia", "agoraphobia", "ophidiophobia", "PlayStation", "Atari", "Xbox", "Nintendo" ]
5
2D (press for 3D)
PCA
KMeans
a5e9e96fdc6a47c8b7b2c09f6d2a2efd
mixedbread-ai/mxbai-embed-large-v1
[ "metamorphic", "igneous", "sedimentary", "loafers", "sneakers", "loafers", "flats", "sandals", "boots", "high heels", "romance", "documentary", "drama", "thriller", "comedy", "tennis", "swimming", "volleyball", "cricket", "soccer", "basketball", "claustrophobia", "acrophobia", "nyctophobia", "arachnophobia", "agoraphobia", "ophidiophobia", "PlayStation", "Atari", "Xbox", "Nintendo" ]
5
2D (press for 3D)
PCA
KMeans
1,723,562,661.3776
clustering
leftvote
[ "", "" ]
3f0202ccc6d341a8af44cf486891158c
Salesforce/SFR-Embedding-2_R
[ "solar", "tidal", "wind", "anger", "joy", "happiness", "surprise", "sadness", "plateau", "block", "volcanic" ]
3
3D (press for 2D)
PCA
KMeans
48cb6209048640deb69de393126f74e7
embed-english-v3.0
[ "solar", "tidal", "wind", "anger", "joy", "happiness", "surprise", "sadness", "plateau", "block", "volcanic" ]
3
3D (press for 2D)
PCA
KMeans
1,723,562,710.3145
clustering
tievote
[ "", "" ]
cbe8f93fb4374d318ae305ea93a07528
nomic-ai/nomic-embed-text-v1.5
[ "electronic", "reggae", "D", "B1", "C", "E", "B12", "K" ]
2
3D (press for 2D)
PCA
KMeans
a3287ccb7a204a619f32547f73f9d7c7
Salesforce/SFR-Embedding-2_R
[ "electronic", "reggae", "D", "B1", "C", "E", "B12", "K" ]
2
3D (press for 2D)
PCA
KMeans
1,723,685,488.8576
clustering
rightvote
[ "", "" ]
5f2b5a3b76b74dc2ab909d41ba254635
embed-english-v3.0
[ "Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco" ]
2
3D (press for 2D)
PCA
KMeans
cc918cf3bdd547c5bbfbc85cc96d04c4
voyage-multilingual-2
[ "Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco" ]
2
3D (press for 2D)
PCA
KMeans
1,722,419,487.8862
clustering
bothbadvote
[ "", "" ]
346e5cbb1f934cf6911d6ce7bfa3d236
mixedbread-ai/mxbai-embed-large-v1
[ "LHR", "BER", "DUB", "SYD", "JFK", "LTN", "FRA", "SFO", "LTN", "SIN", "IST", "DBX" ]
3
3D (press for 2D)
PCA
KMeans
ba8218c6c5ce4b98ae2e8e4e97573696
intfloat/e5-mistral-7b-instruct
[ "LHR", "BER", "DUB", "SYD", "JFK", "LTN", "FRA", "SFO", "LTN", "SIN", "IST", "DBX" ]
3
3D (press for 2D)
PCA
KMeans
1,726,431,094.0203
clustering
leftvote
[ "", "" ]
9a2406ecc0f3415597d6cf9206200265
intfloat/multilingual-e5-large-instruct
[ "blastsd", "sleep", "play", "consume", "blast" ]
2
3D (press for 2D)
PCA
KMeans
74663db122b54738b50d483a7ac630f1
sentence-transformers/all-MiniLM-L6-v2
[ "blastsd", "sleep", "play", "consume", "blast" ]
2
3D (press for 2D)
PCA
KMeans
1,726,431,450.3843
clustering
bothbadvote
[ "", "" ]
635e63a2436c4fc38c28da8651e66d12
text-embedding-004
[ "blast", "play", "sleep", "consume", "friends", "flex", "specialize", "generalize" ]
4
3D (press for 2D)
PCA
KMeans
4eb2085bda854f578aeb71e9cc311571
mixedbread-ai/mxbai-embed-large-v1
[ "blast", "play", "sleep", "consume", "friends", "flex", "specialize", "generalize" ]
4
3D (press for 2D)
PCA
KMeans