Datasets:
mteb
/
arena-results

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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
1,725,632,290.809
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
1,722,276,389.1412
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