Model: sparse-encoder/splade-ModernBERT-nq-fresh-lq0.05-lc0.003_scale1_lr-5e-5_bs64
Author: sparse-encoder
Pipeline: feature-extraction
Library: sentence-transformers
Tags: sentence-transformers, safetensors, modernbert, sparse-encoder, generated_from_trainer, dataset_size:99000, loss:SpladeLoss, feature-extraction, en, dataset:sentence-transformers/natural-questions, arxiv:1908.10084, model-index, text-embeddings-inference, endpoints_compatible, region:us
Card metadata: language: en
tags: sentence-transformers, sparse-encoder, generated_from_trainer, dataset_size:99000, loss:SpladeLoss
widget: source_sentence: who are the dancers in the limp bizkit rollin video
sentences: Voting age Before the Second World War, the voting age in almost all countries was 21 years or higher. Czechoslovakia was the first to reduce the voting age to 20 years in 1946, and by 1968 a total of 17 countries had lowered their voting age.[1] Many countries, particularly in Western Europe, reduced their voting ages to 18 years during the 1970s, starting with the United Kingdom (1969),[2] with the United States (26th Amendment) (1971), Canada, West Germany (1972), Australia (1974), France (1974), and others following soon afterwards. By the end of the 20th century, 18 had become by far the most common voting age. However, a few countries maintain a voting age of 20 years or higher. It was argued that young men could be drafted to go to war at 18, and many people felt they should be able to vote at the age of 18.[3], Rollin' (Limp Bizkit song) The music video was filmed atop the South Tower of the former World Trade Center in New York City. The introduction features Ben Stiller and Stephen Dorff mistaking Fred Durst for the valet and giving him the keys to their Bentley Azure. Also making a cameo is break dancer Mr. Wiggles. The rest of the video has several cuts to Durst and his bandmates hanging out of the Bentley as they drive about Manhattan. The song Ben Stiller is playing at the beginning is "My Generation" from the same album. The video also features scenes of Fred Durst with five girls dancing in a room. The video was filmed around the same time as the film Zoolander, which explains Stiller and Dorff's appearance. Fred Durst has a small cameo in that film., Eobard Thawne When Thawne reappears, he murders the revived Johnny Quick,[9] before proceeding to trap Barry and the revived Max Mercury inside the negative Speed Force. Thawne then attempts to kill Wally West's children through their connection to the Speed Force in front of Linda Park-West, only to be stopped by Jay Garrick and Bart Allen. Thawne defeats Jay and prepares to kill Bart, but Barry, Max, Wally, Jesse Quick, and Impulse arrive to prevent the villain from doing so.[8][10] In the ensuing fight, Thawne reveals that he is responsible for every tragedy that has occurred in Barry's life, including the death of his mother. Thawne then decides to destroy everything the Flash holds dear by killing Barry's wife, Iris, before they even met.[10], source_sentence: who wins season 14 of hell's kitchen
sentences: Hell's Kitchen (U.S. season 14) Season 14 of the American competitive reality television series Hell's Kitchen premiered on March 3, 2015 on Fox. The prize is a head chef position at Gordon Ramsay Pub & Grill in Caesars Atlantic City.[1] Gordon Ramsay returned as head chef with Andi Van Willigan and James Avery returning as sous-chefs for both their respective kitchens as well as Marino Monferrato as the maÃ®tre d'. Executive chef Meghan Gill from Roanoke, Virginia, won the competition, thus becoming the fourteenth winner of Hell's Kitchen., Maze Runner: The Death Cure On April 22, 2017, the studio delayed the release date once again, to February 9, 2018, in order to allow more time for post-production; months later, on August 25, the studio moved the release forward two weeks.[17] The film will premiere on January 26, 2018 in 3D, IMAX and IMAX 3D.[18][19], North American Plate On its western edge, the Farallon Plate has been subducting under the North American Plate since the Jurassic Period. The Farallon Plate has almost completely subducted beneath the western portion of the North American Plate leaving that part of the North American Plate in contact with the Pacific Plate as the San Andreas Fault. The Juan de Fuca, Explorer, Gorda, Rivera, Cocos and Nazca plates are remnants of the Farallon Plate., source_sentence: who played the dj in the movie the warriors
sentences: List of Arrow episodes As of May 17, 2018,[update] 138 episodes of Arrow have aired, concluding the sixth season. On April 2, 2018, the CW renewed the series for a seventh season.[1], Lynne Thigpen Cherlynne Theresa "Lynne" Thigpen (December 22, 1948 â€“ March 12, 2003) was an American actress, best known for her role as "The Chief" of ACME in the various Carmen Sandiego television series and computer games from 1991 to 1997. For her varied television work, Thigpen was nominated for six Daytime Emmy Awards; she won a Tony Award in 1997 for portraying Dr. Judith Kaufman in An American Daughter., The Washington Post The Washington Post is an American daily newspaper. It is the most widely circulated newspaper published in Washington, D.C., and was founded on December 6, 1877,[7] making it the area's oldest extant newspaper. In February 2017, amid a barrage of criticism from President Donald Trump over the paper's coverage of his campaign and early presidency as well as concerns among the American press about Trump's criticism and threats against journalists who provide coverage he deems unfavorable, the Post adopted the slogan "Democracy Dies in Darkness".[8], source_sentence: how old was messi when he started his career
sentences: Lionel Messi Born and raised in central Argentina, Messi was diagnosed with a growth hormone deficiency as a child. At age 13, he relocated to Spain to join Barcelona, who agreed to pay for his medical treatment. After a fast progression through Barcelona's youth academy, Messi made his competitive debut aged 17 in October 2004. Despite being injury-prone during his early career, he established himself as an integral player for the club within the next three years, finishing 2007 as a finalist for both the Ballon d'Or and FIFA World Player of the Year award, a feat he repeated the following year. His first uninterrupted campaign came in the 2008â€“09 season, during which he helped Barcelona achieve the first treble in Spanish football. At 22 years old, Messi won the Ballon d'Or and FIFA World Player of the Year award by record voting margins., We Are Marshall Filming of We Are Marshall commenced on April 3, 2006, in Huntington, West Virginia, and was completed in Atlanta, Georgia. The premiere for the film was held at the Keith Albee Theater on December 12, 2006, in Huntington; other special screenings were held at Pullman Square. The movie was released nationwide on December 22, 2006., One Fish, Two Fish, Red Fish, Blue Fish One Fish, Two Fish, Red Fish, Blue Fish is a 1960 children's book by Dr. Seuss. It is a simple rhyming book for beginning readers, with a freewheeling plot about a boy and a girl named Jay and Kay and the many amazing creatures they have for friends and pets. Interspersed are some rather surreal and unrelated skits, such as a man named Ned whose feet stick out from his bed, and a creature who has a bird in his ear. As of 2001, over 6 million copies of the book had been sold, placing it 13th on a list of "All-Time Bestselling Children's Books" from Publishers Weekly.[1] Based on a 2007 online poll, the United States' National Education Association labor union named the book one of its "Teachers' Top 100 Books for Children."[2], source_sentence: is send in the clowns from a musical
sentences: Money in the Bank ladder match The first match was contested in 2005 at WrestleMania 21, after being invented (in kayfabe) by Chris Jericho.[1] At the time, it was exclusive to wrestlers of the Raw brand, and Edge won the inaugural match.[1] From then until 2010, the Money in the Bank ladder match, now open to all WWE brands, became a WrestleMania mainstay. 2010 saw a second and third Money in the Bank ladder match when the Money in the Bank pay-per-view debuted in July. Unlike the matches at WrestleMania, this new event featured two such ladder matches â€“ one each for a contract for the WWE Championship and World Heavyweight Championship, respectively., The Suite Life on Deck The Suite Life on Deck is an American sitcom that aired on Disney Channel from September 26, 2008 to May 6, 2011. It is a sequel/spin-off of the Disney Channel Original Series The Suite Life of Zack & Cody. The series follows twin brothers Zack and Cody Martin and hotel heiress London Tipton in a new setting, the SS Tipton, where they attend classes at "Seven Seas High School" and meet Bailey Pickett while Mr. Moseby manages the ship. The ship travels around the world to nations such as Italy, France, Greece, India, Sweden and the United Kingdom where the characters experience different cultures, adventures, and situations.[1], Send In the Clowns "Send In the Clowns" is a song written by Stephen Sondheim for the 1973 musical A Little Night Music, an adaptation of Ingmar Bergman's film Smiles of a Summer Night. It is a ballad from Act Two, in which the character Desirée reflects on the ironies and disappointments of her life. Among other things, she looks back on an affair years earlier with the lawyer Fredrik, who was deeply in love with her but whose marriage proposals she had rejected. Meeting him after so long, she realizes she is in love with him and finally ready to marry him, but now it is he who rejects her: he is in an unconsummated marriage with a much younger woman. Desirée proposes marriage to rescue him from this situation, but he declines, citing his dedication to his bride. Reacting to his rejection, Desirée sings this song. The song is later reprised as a coda after Fredrik's young wife runs away with his son, and Fredrik is finally free to accept Desirée's offer.[1]
datasets: sentence-transformers/natural-questions
pipeline_tag: feature-extraction
library_name: sentence-transformers
metrics: dot_accuracy@1, dot_accuracy@3, dot_accuracy@5, dot_accuracy@10, dot_precision@1, dot_precision@3, dot_precision@5, dot_precision@10, dot_recall@1, dot_recall@3, dot_recall@5, dot_recall@10, dot_ndcg@10, dot_mrr@10, dot_map@100
model-index: name: SparseEncoder
results: task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoClimateFEVER
type: NanoClimateFEVER
metrics: type: dot_accuracy@1
value: 0.2
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.46
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.54
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.7
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.2
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.16666666666666663
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.12
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.09200000000000001
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.09666666666666666
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.23
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.26333333333333336
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.3633333333333333
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.27901833322506836
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.35504761904761906
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.21134372026850315
name: Dot Map@100
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoDBPedia
type: NanoDBPedia
metrics: type: dot_accuracy@1
value: 0.56
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.86
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.88
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.94
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.56
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.54
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.4760000000000001
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.4200000000000001
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.05823984679398685
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.14683180878106325
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.18514389723697255
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.2922402071766335
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5149853394534007
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.7134126984126985
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.406771558933228
name: Dot Map@100
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoFEVER
type: NanoFEVER
metrics: type: dot_accuracy@1
value: 0.66
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.84
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.9
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.92
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.66
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.2866666666666667
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.184
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.09799999999999999
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.63
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.81
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.87
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.91
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.7817797096694334
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.7555
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.7355775784924127
name: Dot Map@100
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoFiQA2018
type: NanoFiQA2018
metrics: type: dot_accuracy@1
value: 0.3
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.48
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.54
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.64
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.3
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.22666666666666668
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.16000000000000003
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.09799999999999999
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.16585714285714284
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.32273809523809516
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.36696031746031743
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.43948412698412687
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.3586122413260625
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.40490476190476193
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.30224667871042726
name: Dot Map@100
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoHotpotQA
type: NanoHotpotQA
metrics: type: dot_accuracy@1
value: 0.74
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.84
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.86
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.9
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.74
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.3999999999999999
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.24799999999999997
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.13599999999999998
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.37
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.6
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.62
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.68
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.6566351917957637
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.797
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5981700596099889
name: Dot Map@100
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoMSMARCO
type: NanoMSMARCO
metrics: type: dot_accuracy@1
value: 0.3
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.46
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.62
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.82
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.3
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.15333333333333332
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.12400000000000003
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.08199999999999999
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.3
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.46
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.62
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.82
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5216113628888543
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.43054761904761896
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.438876418951419
name: Dot Map@100
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoNFCorpus
type: NanoNFCorpus
metrics: type: dot_accuracy@1
value: 0.4
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.48
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.5
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.54
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.4
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.34
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.30400000000000005
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.23
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.04254727971513235
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.07163140338291131
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.08776456769135273
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.10868524888806907
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.2929266509489559
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.4424126984126983
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.1224136723106594
name: Dot Map@100
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoNQ
type: NanoNQ
metrics: type: dot_accuracy@1
value: 0.42
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.66
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.7
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.8
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.42
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.22666666666666666
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.14400000000000002
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.08399999999999999
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.39
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.62
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.66
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.75
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5824687878542721
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5475714285714285
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5269373532068765
name: Dot Map@100
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoQuoraRetrieval
type: NanoQuoraRetrieval
metrics: type: dot_accuracy@1
value: 0.7
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.92
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.92
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.94
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.7
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.3399999999999999
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.22399999999999995
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.12399999999999999
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.6106666666666666
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.8380000000000001
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.872
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.9166666666666665
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.8159718560489982
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.8058333333333333
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.7758447931506756
name: Dot Map@100
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoSCIDOCS
type: NanoSCIDOCS
metrics: type: dot_accuracy@1
value: 0.42
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.6
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.72
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.82
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.42
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.3
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.22399999999999998
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.16399999999999998
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.08866666666666667
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.18466666666666665
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.22966666666666666
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.3356666666666666
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.3293002415680237
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5397460317460316
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.2516695676334589
name: Dot Map@100
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoArguAna
type: NanoArguAna
metrics: type: dot_accuracy@1
value: 0.14
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.52
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.68
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.78
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.14
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.1733333333333333
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.136
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.07800000000000001
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.14
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.52
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.68
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.78
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.4574409166314352
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.3539126984126984
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.36352426740041927
name: Dot Map@100
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoSciFact
type: NanoSciFact
metrics: type: dot_accuracy@1
value: 0.54
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.74
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.78
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.78
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.54
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.26666666666666666
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.16799999999999998
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.09
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.505
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.725
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.755
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.78
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.6692036784865739
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.6389999999999999
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.6329908424908425
name: Dot Map@100
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoTouche2020
type: NanoTouche2020
metrics: type: dot_accuracy@1
value: 0.5918367346938775
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.9183673469387755
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.9591836734693877
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.9795918367346939
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.5918367346938775
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.6326530612244898
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.5306122448979592
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.4551020408163265
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.04441132326589141
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.13675909039573345
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.18710281909278062
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.30269793389123806
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5134901458858696
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.7532312925170067
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.3964238625372201
name: Dot Map@100
verified: no, task: type: sparse-nano-beir
name: Sparse Nano BEIR
dataset: name: NanoBEIR mean
type: NanoBEIR_mean
metrics: type: dot_accuracy@1
value: 0.45937205651491364
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.6752590266875982
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.7383987441130297
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.8122762951334378
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.45937205651491364
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.3117425431711146
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.23404709576138152
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.16546938775510206
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.26477350712555026
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.43581746649726694
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.4920747385754941
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.5752903218159027
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5210341889063623
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5798553985696843
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.44329156720739477
name: Dot Map@100
verified: no
Likes: 0 | All-time downloads: 27
Created: 2025-05-06 10:56:10