Scheduled Commit

data/retrieval_battle-2cea24b1-39e9-480a-ba22-c617ea05c1fe.jsonl

@@ -78,3 +78,5 @@
 {"tstamp": 1724305109.8353, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "7d54f145f5e34f0791fc4a845b769aee", "0_model_name": "jinaai/jina-embeddings-v2-base-en", "0_prompt": "when was night at the museum 3 filmed", "0_output": [["when was night at the museum 3 filmed", "Night at the Museum\n\nNight at the Museum is a 2006 American fantasy comedy film directed by Shawn Levy and written by Robert Ben Garant and Thomas Lennon. It is based on the 1993 children's book of the same name by Croatian illustrator Milan Trenc. The film had an ensemble cast of Ben Stiller in the lead role, Carla Gugino, Dick Van Dyke, Mickey Rooney, Bill Cobbs, and Robin Williams. It tells the story of a divorced father who applies for a job as a night watchman at New York City's American Museum of Natural History and subsequently discovers that the exhibits, animated by a magical Egyptian artifact, the tablet of Akhmenrah, come to life at night. 20th Century Fox released the film on December 22, 2006, and it grossed $574.5 million worldwide, becoming the fifth highest-grossing film of 2006, but received mixed reviews from critics.\nTwo sequels were released, Night at the Museum: Battle of the Smithsonian in 2009, and Night at the Museum: Secret of the Tomb in 2014. An animated sequel, Night at the Museum: Kahmunrah Rises Again, was released on December 9, 2022, for the streaming service Disney+."]], "0_corpus": "wikipedia", "1_conv_id": "3da7ee8cf5694d1cad12a671e2d866ee", "1_model_name": "GritLM/GritLM-7B", "1_prompt": "when was night at the museum 3 filmed", "1_output": [["when was night at the museum 3 filmed", "Night at the Museum: Secret of the Tomb\n\nMizuo Peck as Sacagawea, the polyurethane model of the Lemhi Shoshone woman who is Theodore Roosevelt's girlfriend.\nAnjali Jay as Shepseheret, the mummy of a Great Royal Wife of Merenkahre and Ahkmenrah's mother.\nCrystal the Monkey as Dexter, a stuffed Capuchin monkey.\nBrad Garrett (voice) as Moai, an Easter Island Head at the Museum of Natural History.\nRandy Lee, Darryl Quon, Gerald Wong, Paul Chih-Ping Cheng as wax models of Huns.\nKerry van der Griend, Matthew Harrison, and Jody Racicot as wax models of Neanderthals.\nMatty Finochio as Roman Sentry.\nProduction\nOn January 21, 2010, co-writer Thomas Lennon said to Access Hollywood, \"I think it's a really outstanding idea to do Night at the Museum 3, in fact. I wonder if someone's not even already working on a script for that. I cannot confirm that for a fact, but I cannot deny it for a fact either... It might be in the works.\" In an October 2011 interview with The Hollywood Reporter, Stiller confirmed the sequel; however, he said that it was only in the \"ideas stage\". In February 2013 it was announced that the film, directed by Shawn Levy, would be released on December 25, 2014. On September 10, 2013, it was announced that shooting would start in February 2014."]], "1_corpus": "wikipedia"}
 {"tstamp": 1724305154.3687, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "0454b27be79d4d24917fc4e99015934d", "0_model_name": "jinaai/jina-embeddings-v2-base-en", "0_prompt": "when does kubo and the two strings release", "0_output": [["when does kubo and the two strings release", "Kubo and the Two Strings\n\nThe art of Kiyoshi Saito was a strong influence on the style of the animation. In an interview, director Travis Knight described Saito's work as being the \"touchstone\" and the \"one key visual artist\" that inspired the film. Knight also describes being profoundly affected by the artist's interest in both eastern and western art styles and fusing them together in his works. This artist's combination of different styles across cultures inspired Knight and his film crew in the creation of Kubo and the Two Strings.\nFor the Skeleton monster the team created a giant ,  puppet, which Laika claims is the record holder for largest stop-motion puppet. The idea to make such a massive puppet was born out of a fear that individual smaller parts (meant to represent the larger monster) would not work well on screen interacting with the other puppets. The resulting puppet was built in two parts which were then attached together by magnets. For movement Laika had to design a robot to easily manipulate it. The team at one point purchased an industrial robot from eBay but found that it would not work with their setup.\nA small portion of the production was released on YouTube."]], "0_corpus": "wikipedia", "1_conv_id": "09fc69d22fb447b5bec161c28682fa92", "1_model_name": "text-embedding-004", "1_prompt": "when does kubo and the two strings release", "1_output": [["when does kubo and the two strings release", "Kubo and the Two Strings\n\nCasting On December 22, 2014, Art Parkinson, Matthew McConaughey, Charlize Theron, Rooney Mara, Ralph Fiennes and Brenda Vaccaro joined the voice cast.\nMusic\nDario Marianelli composed and conducted the score for the film. The score album featuring 16 tracks, including a rendition of The Beatles' track, \"While My Guitar Gently Weeps\" by Regina Spektor, was released by Warner Records on August 5, 2016.\nRelease\nKubo and the Two Strings screened at the Melbourne International Film Festival on August 13, 2016, and was theatrically released in the United States on August 19, 2016.\nBox office\nKubo and the Two Strings grossed $48 million in North America and $29.5 million in other territories for a worldwide total of $77.5 million, against a budget of $60 million.\nIn the United States, the film was released on August 19, 2016, alongside Ben-Hur and War Dogs, and was projected to gross $12–15 million from 3,260 theaters in its opening weekend with some going as high as $17–20 million. It made $515,000 from its Thursday night previews and $4.1 million on its first day. It went on to gross $12.6 million in its opening weekend, finishing 4th at the box office behind War Dogs, Sausage Party and Suicide Squad."]], "1_corpus": "wikipedia"}
 {"tstamp": 1724305189.7513, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "87ef9ee35ccb4f37b09fac8f68b2da5e", "0_model_name": "voyage-multilingual-2", "0_prompt": "where are the mitochondria located in the sperm", "0_output": [["where are the mitochondria located in the sperm", "Sperm\n\nThe nuclear DNA in sperm cells is haploid, that is, they contribute only one copy of each paternal chromosome pair. Mitochondria in human sperm contain no or very little DNA because mtDNA is degraded while sperm cells are maturing, hence they typically do not contribute any genetic material to their offspring.\nAnatomy\nThe mammalian sperm cell can be divided in 2 parts connected by a neck:\nHead: contains the nucleus with densely coiled chromatin fibers, surrounded anteriorly by a thin, flattened sac called the acrosome, which contains enzymes used for penetrating the female egg. It also contains vacuoles.\nTail: also called the flagellum, is the longest part and capable of wave-like motion that propels sperm for swimming and aids in the penetration of the egg. The tail was formerly thought to move symmetrically in a helical shape.\nNeck: also called connecting piece contains one typical centriole and one atypical centriole such as the proximal centriole-like. The midpiece has a central filamentous core with many mitochondria spiralled around it, used for ATP production for the journey through the female cervix, uterus, and oviducts.\nDuring fertilization, the sperm provides three essential parts to the oocyte: (1) a signalling or activating factor, which causes the metabolically dormant oocyte to activate; (2) the haploid paternal genome; (3) the centriole, which is responsible for forming the centrosome and microtubule system."]], "0_corpus": "wikipedia", "1_conv_id": "ca892373098c4e75a466b2e39ea93fbc", "1_model_name": "text-embedding-3-large", "1_prompt": "where are the mitochondria located in the sperm", "1_output": [["where are the mitochondria located in the sperm", "Mitochondrion\n\nOrganization and distribution Mitochondria (or related structures) are found in all eukaryotes (except the Oxymonad Monocercomonoides). Although commonly depicted as bean-like structures they form a highly dynamic network in the majority of cells where they constantly undergo fission and fusion. The population of all the mitochondria of a given cell constitutes the chondriome. Mitochondria vary in number and location according to cell type. A single mitochondrion is often found in unicellular organisms, while human liver cells have about 1000–2000 mitochondria per cell, making up 1/5 of the cell volume. The mitochondrial content of otherwise similar cells can vary substantially in size and membrane potential, with differences arising from sources including uneven partitioning at cell division, leading to extrinsic differences in ATP levels and downstream cellular processes. The mitochondria can be found nestled between myofibrils of muscle or wrapped around the sperm flagellum. Often, they form a complex 3D branching network inside the cell with the cytoskeleton. The association with the cytoskeleton determines mitochondrial shape, which can affect the function as well: different structures of the mitochondrial network may afford the population a variety of physical, chemical, and signalling advantages or disadvantages. Mitochondria in cells are always distributed along microtubules and the distribution of these organelles is also correlated with the endoplasmic reticulum. Recent evidence suggests that vimentin, one of the components of the cytoskeleton, is also critical to the association with the cytoskeleton."]], "1_corpus": "wikipedia"}
+{"tstamp": 1724306724.5169, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "48ddff149af340b8b1b77849501e74ae", "0_model_name": "intfloat/multilingual-e5-large-instruct", "0_prompt": "Which test was devised to determine whether robots can think?", "0_output": [["Which test was devised to determine whether robots can think?", "Turing test\n\nThe test was introduced by Turing in his 1950 paper \"Computing Machinery and Intelligence\" while working at the University of Manchester. It opens with the words: \"I propose to consider the question, 'Can machines think? Because \"thinking\" is difficult to define, Turing chooses to \"replace the question by another, which is closely related to it and is expressed in relatively unambiguous words.\" Turing describes the new form of the problem in terms of a three-person game called the \"imitation game\", in which an interrogator asks questions of a man and a woman in another room in order to determine the correct sex of the two players. Turing's new question is: \"Are there imaginable digital computers which would do well in the imitation game?\" This question, Turing believed, was one that could actually be answered. In the remainder of the paper, he argued against all the major objections to the proposition that \"machines can think\".\nSince Turing introduced his test, it has been both highly influential and widely criticized, and has become an important concept in the philosophy of artificial intelligence. Philosopher John Searle would comment on the Turing test in his Chinese room argument, a thought experiment that stipulates that a machine cannot have a \"mind\", \"understanding\", or \"consciousness\", regardless of how intelligently or human-like the program may make the computer behave. Searle criticizes Turing's test and claims it is insufficient to detect the presence of consciousness.\nHistory"]], "0_corpus": "wikipedia", "1_conv_id": "220d56cb8e4047cd8e959bce4c367e49", "1_model_name": "voyage-multilingual-2", "1_prompt": "Which test was devised to determine whether robots can think?", "1_output": [["Which test was devised to determine whether robots can think?", "Turing test\n\nThe test was introduced by Turing in his 1950 paper \"Computing Machinery and Intelligence\" while working at the University of Manchester. It opens with the words: \"I propose to consider the question, 'Can machines think? Because \"thinking\" is difficult to define, Turing chooses to \"replace the question by another, which is closely related to it and is expressed in relatively unambiguous words.\" Turing describes the new form of the problem in terms of a three-person game called the \"imitation game\", in which an interrogator asks questions of a man and a woman in another room in order to determine the correct sex of the two players. Turing's new question is: \"Are there imaginable digital computers which would do well in the imitation game?\" This question, Turing believed, was one that could actually be answered. In the remainder of the paper, he argued against all the major objections to the proposition that \"machines can think\".\nSince Turing introduced his test, it has been both highly influential and widely criticized, and has become an important concept in the philosophy of artificial intelligence. Philosopher John Searle would comment on the Turing test in his Chinese room argument, a thought experiment that stipulates that a machine cannot have a \"mind\", \"understanding\", or \"consciousness\", regardless of how intelligently or human-like the program may make the computer behave. Searle criticizes Turing's test and claims it is insufficient to detect the presence of consciousness.\nHistory"]], "1_corpus": "wikipedia"}
+{"tstamp": 1724306855.9375, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "e7325c904e1e44d599d3034b945d21b8", "0_model_name": "BM25", "0_prompt": "I am looking for a method to help me scale up my train data set for an embedding model.", "0_output": [["I am looking for a method to help me scale up my train data set for an embedding model.", "Title: Michael E. Fisher - teacher, mentor, colleague and friend: a (very) personal account\n\nAbstract: The only rational way of educating is to be an example. If one cant help it, a warning example. Albert Einstein. I had the good fortune and privilege of having Michael Fisher as my teacher, supervisor, mentor and friend. During my years as a scientist, teacher and supervisor of about one hundred students and post docs I found myself innumerable times realizing that I am following or at least trying to follow Michaels example. These pages are my attempt to convey recollections of my association with Michael, focusing on how he served as an example for me."]], "0_corpus": "arxiv", "1_conv_id": "b262a5f9127747d5bfb2e45803f0d69d", "1_model_name": "voyage-multilingual-2", "1_prompt": "I am looking for a method to help me scale up my train data set for an embedding model.", "1_output": [["I am looking for a method to help me scale up my train data set for an embedding model.", "Title: Unsupervised Morphological Expansion of Small Datasets for Improving Word Embeddings\n\nAbstract: We present a language independent, unsupervised method for building word embeddings using morphological expansion of text. Our model handles the problem of data sparsity and yields improved word embeddings by relying on training word embeddings on artificially generated sentences. We evaluate our method using small sized training sets on eleven test sets for the word similarity task across seven languages. Further, for English, we evaluated the impacts of our approach using a large training set on three standard test sets. Our method improved results across all languages."]], "1_corpus": "arxiv"}

data/retrieval_individual-2cea24b1-39e9-480a-ba22-c617ea05c1fe.jsonl

@@ -283,3 +283,5 @@
 {"tstamp": 1724305277.7759, "task_type": "retrieval", "type": "chat", "model": "BM25", "gen_params": {}, "start": 1724305275.5612, "finish": 1724305277.7759, "ip": "", "conv_id": "b7821e2de96a4eb99f1695e9e50228fa", "model_name": "BM25", "prompt": "can i travel back to australia with an expired passport?", "output": [["can i travel back to australia with an expired passport?", "English Stackexchange\n\nQ: Does \"in\" mean \"after\" in \"The passport will expire in 2 years\"? Ok, I have a passport issued on 1 Dec 2014 and will expire on 1 Dec 2016. So I should say \"The passport will expire in 2 years\".\nHowever \"in\" in the above sentence is a bit confused because \"in\" should mean \"after\", but I have never heard any one say \"The passport will expire after 2 years\". So:\n\nDoes \"in\" mean \"after\" in \"The passport will expire in 2 years\"?\n\n\nA: In Australia, we would definitely say\n\nThe passport will expire in 2 years.\n\nas though time followed years, and in is understood to mean about or approximately.\nIt is with some surprise that I read the comments from esteemed users @Janus and @Edwin, hence my qualification in Australia - perhaps this is regional usage.\n"]], "corpus": "stackexchange"}
 {"tstamp": 1724306446.1239, "task_type": "retrieval", "type": "chat", "model": "intfloat/multilingual-e5-large-instruct", "gen_params": {}, "start": 1724306443.9721, "finish": 1724306446.1239, "ip": "", "conv_id": "48ddff149af340b8b1b77849501e74ae", "model_name": "intfloat/multilingual-e5-large-instruct", "prompt": "Which test was devised to determine whether robots can think?", "output": [["Which test was devised to determine whether robots can think?", "Turing test\n\nThe test was introduced by Turing in his 1950 paper \"Computing Machinery and Intelligence\" while working at the University of Manchester. It opens with the words: \"I propose to consider the question, 'Can machines think? Because \"thinking\" is difficult to define, Turing chooses to \"replace the question by another, which is closely related to it and is expressed in relatively unambiguous words.\" Turing describes the new form of the problem in terms of a three-person game called the \"imitation game\", in which an interrogator asks questions of a man and a woman in another room in order to determine the correct sex of the two players. Turing's new question is: \"Are there imaginable digital computers which would do well in the imitation game?\" This question, Turing believed, was one that could actually be answered. In the remainder of the paper, he argued against all the major objections to the proposition that \"machines can think\".\nSince Turing introduced his test, it has been both highly influential and widely criticized, and has become an important concept in the philosophy of artificial intelligence. Philosopher John Searle would comment on the Turing test in his Chinese room argument, a thought experiment that stipulates that a machine cannot have a \"mind\", \"understanding\", or \"consciousness\", regardless of how intelligently or human-like the program may make the computer behave. Searle criticizes Turing's test and claims it is insufficient to detect the presence of consciousness.\nHistory"]], "corpus": "wikipedia"}
 {"tstamp": 1724306446.1239, "task_type": "retrieval", "type": "chat", "model": "voyage-multilingual-2", "gen_params": {}, "start": 1724306443.9721, "finish": 1724306446.1239, "ip": "", "conv_id": "220d56cb8e4047cd8e959bce4c367e49", "model_name": "voyage-multilingual-2", "prompt": "Which test was devised to determine whether robots can think?", "output": [["Which test was devised to determine whether robots can think?", "Turing test\n\nThe test was introduced by Turing in his 1950 paper \"Computing Machinery and Intelligence\" while working at the University of Manchester. It opens with the words: \"I propose to consider the question, 'Can machines think? Because \"thinking\" is difficult to define, Turing chooses to \"replace the question by another, which is closely related to it and is expressed in relatively unambiguous words.\" Turing describes the new form of the problem in terms of a three-person game called the \"imitation game\", in which an interrogator asks questions of a man and a woman in another room in order to determine the correct sex of the two players. Turing's new question is: \"Are there imaginable digital computers which would do well in the imitation game?\" This question, Turing believed, was one that could actually be answered. In the remainder of the paper, he argued against all the major objections to the proposition that \"machines can think\".\nSince Turing introduced his test, it has been both highly influential and widely criticized, and has become an important concept in the philosophy of artificial intelligence. Philosopher John Searle would comment on the Turing test in his Chinese room argument, a thought experiment that stipulates that a machine cannot have a \"mind\", \"understanding\", or \"consciousness\", regardless of how intelligently or human-like the program may make the computer behave. Searle criticizes Turing's test and claims it is insufficient to detect the presence of consciousness.\nHistory"]], "corpus": "wikipedia"}
+{"tstamp": 1724306811.8054, "task_type": "retrieval", "type": "chat", "model": "BM25", "gen_params": {}, "start": 1724306809.9765, "finish": 1724306811.8054, "ip": "", "conv_id": "e7325c904e1e44d599d3034b945d21b8", "model_name": "BM25", "prompt": "I am looking for a method to help me scale up my train data set for an embedding model.", "output": [["I am looking for a method to help me scale up my train data set for an embedding model.", "Title: Michael E. Fisher - teacher, mentor, colleague and friend: a (very) personal account\n\nAbstract: The only rational way of educating is to be an example. If one cant help it, a warning example. Albert Einstein. I had the good fortune and privilege of having Michael Fisher as my teacher, supervisor, mentor and friend. During my years as a scientist, teacher and supervisor of about one hundred students and post docs I found myself innumerable times realizing that I am following or at least trying to follow Michaels example. These pages are my attempt to convey recollections of my association with Michael, focusing on how he served as an example for me."]], "corpus": "arxiv"}
+{"tstamp": 1724306811.8054, "task_type": "retrieval", "type": "chat", "model": "voyage-multilingual-2", "gen_params": {}, "start": 1724306809.9765, "finish": 1724306811.8054, "ip": "", "conv_id": "b262a5f9127747d5bfb2e45803f0d69d", "model_name": "voyage-multilingual-2", "prompt": "I am looking for a method to help me scale up my train data set for an embedding model.", "output": [["I am looking for a method to help me scale up my train data set for an embedding model.", "Title: Unsupervised Morphological Expansion of Small Datasets for Improving Word Embeddings\n\nAbstract: We present a language independent, unsupervised method for building word embeddings using morphological expansion of text. Our model handles the problem of data sparsity and yields improved word embeddings by relying on training word embeddings on artificially generated sentences. We evaluate our method using small sized training sets on eleven test sets for the word similarity task across seven languages. Further, for English, we evaluated the impacts of our approach using a large training set on three standard test sets. Our method improved results across all languages."]], "corpus": "arxiv"}