Model: tomaarsen/splade-distilbert-base-uncased-nq-e-3
Author: tomaarsen
Pipeline: feature-extraction
Library: sentence-transformers
Tags: sentence-transformers, safetensors, distilbert, sparse-encoder, sparse, splade, generated_from_trainer, dataset_size:99000, loss:SpladeLoss, loss:SparseMultipleNegativesRankingLoss, loss:FlopsLoss, feature-extraction, en, dataset:sentence-transformers/natural-questions, arxiv:1908.10084, arxiv:2205.04733, arxiv:1705.00652, arxiv:2004.05665, base_model:distilbert/distilbert-base-uncased, base_model:finetune:distilbert/distilbert-base-uncased, license:apache-2.0, model-index, co2_eq_emissions, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: distilbert/distilbert-base-uncased
Card metadata: language: en
license: apache-2.0
tags: sentence-transformers, sparse-encoder, sparse, splade, generated_from_trainer, dataset_size:99000, loss:SpladeLoss, loss:SparseMultipleNegativesRankingLoss, loss:FlopsLoss
base_model: distilbert/distilbert-base-uncased
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, row_non_zero_mean_query, row_sparsity_mean_query, row_non_zero_mean_corpus, row_sparsity_mean_corpus
co2_eq_emissions: emissions: 32.749162711505036
energy_consumed: 0.08425262208968576
source: codecarbon
training_type: fine-tuning
on_cloud: no
cpu_model: 13th Gen Intel(R) Core(TM) i7-13700K
ram_total_size: 31.777088165283203
hours_used: 0.292
hardware_used: 1 x NVIDIA GeForce RTX 3090
model-index: name: splade-distilbert-base-uncased trained on Natural Questions
results: task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoMSMARCO
type: NanoMSMARCO
metrics: type: dot_accuracy@1
value: 0.24
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.44
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.6
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.72
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.24
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.14666666666666664
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.12000000000000002
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.07200000000000001
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.24
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.44
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.6
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.72
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.46533877878819696
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.3856269841269841
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.3974184036014145
name: Dot Map@100
verified: no, type: row_non_zero_mean_query
value: 15.779999732971191
name: Row Non Zero Mean Query
verified: no, type: row_sparsity_mean_query
value: 0.9994829297065735
name: Row Sparsity Mean Query
verified: no, type: row_non_zero_mean_corpus
value: 25.729328155517578
name: Row Non Zero Mean Corpus
verified: no, type: row_sparsity_mean_corpus
value: 0.9991570711135864
name: Row Sparsity Mean Corpus
verified: no, type: dot_accuracy@1
value: 0.22
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.42
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.6
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.74
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.22
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.13999999999999999
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.12000000000000002
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.07400000000000001
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.22
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.42
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.6
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.74
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.46328494594550307
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.37662698412698403
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.3856610333651542
name: Dot Map@100
verified: no, type: row_non_zero_mean_query
value: 15.380000114440918
name: Row Non Zero Mean Query
verified: no, type: row_sparsity_mean_query
value: 0.9994961023330688
name: Row Sparsity Mean Query
verified: no, type: row_non_zero_mean_corpus
value: 26.596866607666016
name: Row Non Zero Mean Corpus
verified: no, type: row_sparsity_mean_corpus
value: 0.9991285800933838
name: Row Sparsity Mean Corpus
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoNFCorpus
type: NanoNFCorpus
metrics: type: dot_accuracy@1
value: 0.3
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.42
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.52
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.56
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.3
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.2866666666666667
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.264
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.214
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.01879480879384032
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.05027421919442009
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.08706875727827264
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.11178880663195827
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.2582539565166507
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.38549999999999995
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.1034946476704924
name: Dot Map@100
verified: no, type: row_non_zero_mean_query
value: 20.18000030517578
name: Row Non Zero Mean Query
verified: no, type: row_sparsity_mean_query
value: 0.9993388652801514
name: Row Sparsity Mean Query
verified: no, type: row_non_zero_mean_corpus
value: 30.07179069519043
name: Row Non Zero Mean Corpus
verified: no, type: row_sparsity_mean_corpus
value: 0.9990148544311523
name: Row Sparsity Mean Corpus
verified: no, type: dot_accuracy@1
value: 0.34
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.52
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.52
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.58
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.34
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.3133333333333333
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.288
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.226
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.021422381525060468
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.0742401436593227
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.08995450762658255
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.11319066947710729
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.27630767880389084
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.42138888888888887
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.11387493422516994
name: Dot Map@100
verified: no, type: row_non_zero_mean_query
value: 18.81999969482422
name: Row Non Zero Mean Query
verified: no, type: row_sparsity_mean_query
value: 0.9993834495544434
name: Row Sparsity Mean Query
verified: no, type: row_non_zero_mean_corpus
value: 30.65966796875
name: Row Non Zero Mean Corpus
verified: no, type: row_sparsity_mean_corpus
value: 0.9989954829216003
name: Row Sparsity Mean Corpus
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoNQ
type: NanoNQ
metrics: type: dot_accuracy@1
value: 0.32
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.5
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.58
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.64
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.32
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.16666666666666663
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.11599999999999999
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.064
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.31
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.49
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.56
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.61
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.46811217927927307
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.43099999999999994
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.4334878570971412
name: Dot Map@100
verified: no, type: row_non_zero_mean_query
value: 15.079999923706055
name: Row Non Zero Mean Query
verified: no, type: row_sparsity_mean_query
value: 0.9995059370994568
name: Row Sparsity Mean Query
verified: no, type: row_non_zero_mean_corpus
value: 22.96107292175293
name: Row Non Zero Mean Corpus
verified: no, type: row_sparsity_mean_corpus
value: 0.999247670173645
name: Row Sparsity Mean Corpus
verified: no, type: dot_accuracy@1
value: 0.3
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.5
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.62
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.68
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.3
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.16666666666666663
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.124
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.07
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.29
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.49
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.6
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.66
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.4796509872234161
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.42804761904761895
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.4288636915548681
name: Dot Map@100
verified: no, type: row_non_zero_mean_query
value: 14.399999618530273
name: Row Non Zero Mean Query
verified: no, type: row_sparsity_mean_query
value: 0.999528169631958
name: Row Sparsity Mean Query
verified: no, type: row_non_zero_mean_corpus
value: 23.73485565185547
name: Row Non Zero Mean Corpus
verified: no, type: row_sparsity_mean_corpus
value: 0.9992223381996155
name: Row Sparsity Mean Corpus
verified: no, task: type: sparse-nano-beir
name: Sparse Nano BEIR
dataset: name: NanoBEIR mean
type: NanoBEIR_mean
metrics: type: dot_accuracy@1
value: 0.2866666666666667
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.4533333333333333
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.5666666666666668
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.64
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.2866666666666667
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.19999999999999998
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.16666666666666666
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.11666666666666668
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.1895982695979468
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.3267580730648067
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.4156895857594242
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.4805962688773194
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.39723497152804027
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.40070899470899474
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.3114669694563494
name: Dot Map@100
verified: no, type: row_non_zero_mean_query
value: 17.013333320617676
name: Row Non Zero Mean Query
verified: no, type: row_sparsity_mean_query
value: 0.9994425773620605
name: Row Sparsity Mean Query
verified: no, type: row_non_zero_mean_corpus
value: 26.254063924153645
name: Row Non Zero Mean Corpus
verified: no, type: row_sparsity_mean_corpus
value: 0.9991398652394613
name: Row Sparsity Mean Corpus
verified: no, type: dot_accuracy@1
value: 0.4023861852433281
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.5827315541601256
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.6721193092621665
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.7583987441130299
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.4023861852433281
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.25922553636839346
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.2099277864992151
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.14982417582417581
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.22672192221710946
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.36838967779676207
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.44570232082548333
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.5264378082924004
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.4631187549753249
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5167952081931673
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.38677121563396466
name: Dot Map@100
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verified: no, task: type: sparse-information-retrieval
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verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
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type: NanoFEVER
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verified: no, type: dot_accuracy@5
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verified: no, type: dot_precision@5
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verified: no, type: dot_precision@10
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verified: no, type: dot_recall@1
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verified: no, type: dot_recall@3
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verified: no, type: dot_recall@5
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verified: no, type: dot_recall@10
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verified: no, type: dot_ndcg@10
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verified: no, type: dot_mrr@10
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verified: no, task: type: sparse-information-retrieval
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dataset: name: NanoFiQA2018
type: NanoFiQA2018
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verified: no, type: dot_accuracy@3
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verified: no, type: dot_accuracy@5
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verified: no, type: dot_precision@5
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verified: no, type: dot_precision@10
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verified: no, type: dot_recall@1
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verified: no, type: dot_recall@3
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verified: no, type: dot_recall@10
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verified: no, task: type: sparse-information-retrieval
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verified: no, type: dot_accuracy@3
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verified: no, type: dot_accuracy@5
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verified: no, type: dot_accuracy@10
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verified: no, type: dot_precision@5
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verified: no, type: dot_precision@10
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verified: no, type: dot_recall@1
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verified: no, type: dot_recall@5
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verified: no, type: dot_recall@10
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verified: no, type: dot_ndcg@10
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verified: no, type: dot_mrr@10
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verified: no, type: dot_map@100
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verified: no, task: type: sparse-information-retrieval
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verified: no, type: dot_accuracy@3
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verified: no, type: dot_precision@3
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verified: no, type: dot_precision@5
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verified: no, type: dot_precision@10
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verified: no, type: dot_recall@1
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verified: no, type: dot_recall@5
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verified: no, type: dot_recall@10
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verified: no, task: type: sparse-information-retrieval
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verified: no, type: dot_precision@5
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verified: no, type: dot_precision@10
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verified: no, type: dot_recall@1
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verified: no, type: dot_recall@5
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verified: no, type: dot_recall@10
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name: Row Sparsity Mean Corpus
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoArguAna
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verified: no, type: dot_accuracy@3
value: 0.4
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verified: no, type: dot_accuracy@5
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verified: no, type: dot_accuracy@10
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verified: no, type: dot_precision@1
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verified: no, type: dot_precision@3
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verified: no, type: dot_precision@5
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verified: no, type: dot_precision@10
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verified: no, type: dot_recall@1
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verified: no, type: dot_recall@3
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verified: no, type: dot_recall@5
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verified: no, type: dot_recall@10
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verified: no, type: dot_ndcg@10
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verified: no, type: row_non_zero_mean_corpus
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name: Row Sparsity Mean Corpus
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoSciFact
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verified: no, type: dot_accuracy@3
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verified: no, type: dot_accuracy@5
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verified: no, type: dot_accuracy@10
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verified: no, type: dot_precision@1
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verified: no, type: dot_precision@3
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verified: no, type: dot_precision@5
value: 0.136
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verified: no, type: dot_precision@10
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verified: no, type: dot_recall@1
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verified: no, type: dot_recall@3
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verified: no, type: dot_recall@5
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verified: no, type: dot_recall@10
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verified: no, type: dot_ndcg@10
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verified: no, type: dot_mrr@10
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verified: no, type: dot_map@100
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verified: no, type: row_non_zero_mean_corpus
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verified: no, type: row_sparsity_mean_corpus
value: 0.9991081357002258
name: Row Sparsity Mean Corpus
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoTouche2020
type: NanoTouche2020
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verified: no, type: dot_accuracy@3
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verified: no, type: dot_accuracy@5
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verified: no, type: dot_precision@3
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verified: no, type: dot_precision@5
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verified: no, type: dot_precision@10
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verified: no, type: dot_recall@1
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verified: no, type: dot_recall@3
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verified: no, type: dot_recall@5
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verified: no, type: dot_recall@10
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verified: no, type: dot_map@100
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verified: no, type: row_non_zero_mean_query
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verified: no, type: row_non_zero_mean_corpus
value: 31.900609970092773
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verified: no, type: row_sparsity_mean_corpus
value: 0.9989547729492188
name: Row Sparsity Mean Corpus
verified: no
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Created: 2025-05-20 11:52:07