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{"tstamp": 1722629290.7432, "task_type": "retrieval", "type": "chat", "model": "voyage-multilingual-2", "gen_params": {}, "start": 1722629288.3638, "finish": 1722629290.7432, "ip": "", "conv_id": "44e835582a184dfaa89a1c4f6ed18c77", "model_name": "voyage-multilingual-2", "prompt": "posttraining chan-of-thought", "output": [["posttraining chan-of-thought", "Title: Post Training in Deep Learning with Last Kernel\n\nAbstract: One of the main challenges of deep learning methods is the choice of an appropriate training strategy. In particular, additional steps, such as unsupervised pre-training, have been shown to greatly improve the performances of deep structures. In this article, we propose an extra training step, called post-training, which only optimizes the last layer of the network. We show that this procedure can be analyzed in the context of kernel theory, with the first layers computing an embedding of the data and the last layer a statistical model to solve the task based on this embedding. This step makes sure that the embedding, or representation, of the data is used in the best possible way for the considered task. This idea is then tested on multiple architectures with various data sets, showing that it consistently provides a boost in performance."]], "corpus": "arxiv"}
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{"tstamp": 1722629326.6189, "task_type": "retrieval", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1722629326.1821, "finish": 1722629326.6189, "ip": "", "conv_id": "372971284d9b436697f3656fb8d9f6b7", "model_name": "text-embedding-004", "prompt": "transformer paper", "output": [["transformer paper", "Title: Introduction to Transformers: an NLP Perspective\n\nAbstract: Transformers have dominated empirical machine learning models of natural language processing. In this paper, we introduce basic concepts of Transformers and present key techniques that form the recent advances of these models. This includes a description of the standard Transformer architecture, a series of model refinements, and common applications. Given that Transformers and related deep learning techniques might be evolving in ways we have never seen, we cannot dive into all the model details or cover all the technical areas. Instead, we focus on just those concepts that are helpful for gaining a good understanding of Transformers and their variants. We also summarize the key ideas that impact this field, thereby yielding some insights into the strengths and limitations of these models."]], "corpus": "arxiv"}
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{"tstamp": 1722629326.6189, "task_type": "retrieval", "type": "chat", "model": "voyage-multilingual-2", "gen_params": {}, "start": 1722629326.1821, "finish": 1722629326.6189, "ip": "", "conv_id": "f1190162c75d42acbed182442e07cf98", "model_name": "voyage-multilingual-2", "prompt": "transformer paper", "output": [["transformer paper", "Title: Formal Algorithms for Transformers\n\nAbstract: This document aims to be a self-contained, mathematically precise overview of transformer architectures and algorithms (*not* results). It covers what transformers are, how they are trained, what they are used for, their key architectural components, and a preview of the most prominent models. The reader is assumed to be familiar with basic ML terminology and simpler neural network architectures such as MLPs."]], "corpus": "arxiv"}
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{"tstamp": 1722629290.7432, "task_type": "retrieval", "type": "chat", "model": "voyage-multilingual-2", "gen_params": {}, "start": 1722629288.3638, "finish": 1722629290.7432, "ip": "", "conv_id": "44e835582a184dfaa89a1c4f6ed18c77", "model_name": "voyage-multilingual-2", "prompt": "posttraining chan-of-thought", "output": [["posttraining chan-of-thought", "Title: Post Training in Deep Learning with Last Kernel\n\nAbstract: One of the main challenges of deep learning methods is the choice of an appropriate training strategy. In particular, additional steps, such as unsupervised pre-training, have been shown to greatly improve the performances of deep structures. In this article, we propose an extra training step, called post-training, which only optimizes the last layer of the network. We show that this procedure can be analyzed in the context of kernel theory, with the first layers computing an embedding of the data and the last layer a statistical model to solve the task based on this embedding. This step makes sure that the embedding, or representation, of the data is used in the best possible way for the considered task. This idea is then tested on multiple architectures with various data sets, showing that it consistently provides a boost in performance."]], "corpus": "arxiv"}
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{"tstamp": 1722629326.6189, "task_type": "retrieval", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1722629326.1821, "finish": 1722629326.6189, "ip": "", "conv_id": "372971284d9b436697f3656fb8d9f6b7", "model_name": "text-embedding-004", "prompt": "transformer paper", "output": [["transformer paper", "Title: Introduction to Transformers: an NLP Perspective\n\nAbstract: Transformers have dominated empirical machine learning models of natural language processing. In this paper, we introduce basic concepts of Transformers and present key techniques that form the recent advances of these models. This includes a description of the standard Transformer architecture, a series of model refinements, and common applications. Given that Transformers and related deep learning techniques might be evolving in ways we have never seen, we cannot dive into all the model details or cover all the technical areas. Instead, we focus on just those concepts that are helpful for gaining a good understanding of Transformers and their variants. We also summarize the key ideas that impact this field, thereby yielding some insights into the strengths and limitations of these models."]], "corpus": "arxiv"}
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{"tstamp": 1722629326.6189, "task_type": "retrieval", "type": "chat", "model": "voyage-multilingual-2", "gen_params": {}, "start": 1722629326.1821, "finish": 1722629326.6189, "ip": "", "conv_id": "f1190162c75d42acbed182442e07cf98", "model_name": "voyage-multilingual-2", "prompt": "transformer paper", "output": [["transformer paper", "Title: Formal Algorithms for Transformers\n\nAbstract: This document aims to be a self-contained, mathematically precise overview of transformer architectures and algorithms (*not* results). It covers what transformers are, how they are trained, what they are used for, their key architectural components, and a preview of the most prominent models. The reader is assumed to be familiar with basic ML terminology and simpler neural network architectures such as MLPs."]], "corpus": "arxiv"}
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{"tstamp": 1722629380.405, "task_type": "retrieval", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1722629377.9618, "finish": 1722629380.405, "ip": "", "conv_id": "49a25a431ae04ef3b3eead9bcc3cb69b", "model_name": "text-embedding-004", "prompt": "Dictator of the country on the west to Russia", "output": [["Dictator of the country on the west to Russia", "Dictatorship\n\nDictatorship in Europe largely ended after the fall of the Soviet Union in 1991, and the liberalization of most communist states. Belarus under the rule of Alexander Lukashenko has been described as \"the last European dictatorship\", though the rule of Vladimir Putin in Russia has also been described as a dictatorship. Latin America saw a period of liberalization similar to that of Europe at the end of the Cold War, with Cuba being the only Latin American country that did not experience any degree of liberalization between 1992 and 2010. The countries of Central Asia did not liberalize after the fall of the Soviet Union, instead forming as dictatorships led by former elites of the Communist Party and then later by successive dictators. These countries maintain parliaments and human rights organizations, but these remain under the control of the countries' respective dictators.\nThe Middle East and North Africa did not undergo liberalization during the third wave of democratisation, and most countries in this region remain dictatorships in the 21st century. Dictatorships in the Middle East and Northern Africa are either illiberal republics in which a president holds power through unfair elections, or they are absolute monarchies in which power is inherited. Iraq, Israel, Lebanon, and Palestine are the only democratic nations in the region, with Israel being the only nation in this region that affords broad political liberties to its citizens. Although Tunisia was seen as a pillar of the Arab Spring for democracy, by 2023, it was no longer classified as a democracy. Turkey's President Recep Tayyip Erdoğan has been described by several sources as a dictator."]], "corpus": "wikipedia"}
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{"tstamp": 1722629380.405, "task_type": "retrieval", "type": "chat", "model": "voyage-multilingual-2", "gen_params": {}, "start": 1722629377.9618, "finish": 1722629380.405, "ip": "", "conv_id": "8131f1d1c5b4466fbbdab2002fda6bdb", "model_name": "voyage-multilingual-2", "prompt": "Dictator of the country on the west to Russia", "output": [["Dictator of the country on the west to Russia", "Hetalia: Axis Powers\n\nis the tallest of all the nations, and has a thick muscular body. He has wavy silver hair, purple eyes, a large nose, and wears a thick winter coat and a silk scarf. Russia has a seemingly kind demeanor, but has suffered mental trauma following the strain of his bloody history, and as a result he has the innocence and cruelty of a child; sometimes he casts an aura of pure evil around him whenever such malicious thoughts enter his mind. He often terrifies the other countries without even trying, especially when he was the Soviet Union. He would abuse the Baltics and still stalks them in the modern day, especially Lithuania. Occasionally, he stalks China, while in a panda costume; and he holds a subtle rivalry with the Western nations, especially America. His primary target of resentment is General Winter, because despite using the cold to his advantage in war, he is also attacked by him every year. Russia has also been known to want Lithuania and other countries to become one with him. Russia also has two sisters: his older sister, Ukraine and his younger sister, Belarus. He becomes gloomy and depressed when either of them are on his mind, because Ukraine left him to try to make friends in the EU, and Belarus is obsessed with the idea of forcing him to marry her. Belarus seems to be the only other country which Russia fears. Russia happily promises that eventually \"all will become one with Russia\". He dreams of living in a warm place surrounded by sunflowers, and vodka is his fuel. He says \"kolkolkol\" to threaten his subordinates when he is angered. Russia is often seen carrying a metal faucet pipe. In the anime series, he is voiced by Yasuhiro Takato in Japanese and Jerry Jewell in English. In 2008, he received the name Ivan Braginsky."]], "corpus": "wikipedia"}
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{"tstamp": 1722629406.9795, "task_type": "retrieval", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1722629406.4274, "finish": 1722629406.9795, "ip": "", "conv_id": "736d0f1d88c54b02b472869fe91b79c4", "model_name": "text-embedding-004", "prompt": "The movie about the cyborg from the future", "output": [["The movie about the cyborg from the future", "Cyborg (film)\n\nCyborg is a 1989 American martial-arts cyberpunk film directed by Albert Pyun. Jean-Claude van Damme stars as Gibson Rickenbacker, a mercenary who battles a group of murderous marauders led by Fender Tremolo (Vincent Klyn) along the East coast of the United States in a post-apocalyptic future. It was followed by the sequels Cyborg 2 (1993) and Cyborg 3: The Recycler (1994).\nPlot\nA plague known as the living death cripples civilization. A small group of surviving scientists and doctors — located in Atlanta, home of the CDC — work on a cure to save what remains of humanity. To complete their work they need information stored on a computer system in New York City. Pearl Prophet volunteers for the dangerous courier mission and is made into a cyborg through surgical augmentation.\nPearl, accompanied by bodyguard Marshall Strat, retrieves the data in New York but is pursued by the vicious Fender Tremolo and his gang of pirates. Fender wants the cure so he can have a monopoly on its production. Strat, badly injured while fighting the pirates, tells Pearl to leave him and find a mercenary, known as a \"slinger\", who can escort her to safety. She gets cornered but is saved by a slinger named Gibson Rickenbacker. After she explains her situation, they are overrun by Fender's gang, and Gibson is knocked out by falling debris. Fender demands that she accompany him to Atlanta or die."]], "corpus": "wikipedia"}
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{"tstamp": 1722629406.9795, "task_type": "retrieval", "type": "chat", "model": "voyage-multilingual-2", "gen_params": {}, "start": 1722629406.4274, "finish": 1722629406.9795, "ip": "", "conv_id": "a62ad403de994cdcae0432a7e21db04e", "model_name": "voyage-multilingual-2", "prompt": "The movie about the cyborg from the future", "output": [["The movie about the cyborg from the future", "List of cyberpunk works\n\nThe Lawnmower Man (1992) Tetsuo II: Body Hammer (1992)\nCyborg 2 (1993)\nDemolition Man (1993)\nRoboCop 3 (1993)\nRobot Wars (1993)\nPlughead Rewired: Circuitry Man II (1994)\nDeath Machine (1994)\nHackers (1995)\nJohnny Mnemonic (1995)\nJudge Dredd (1995)\nStrange Days (1995)\nVirtuosity (1995)\nEscape from L.A. (1996)\nThe Lawnmower Man 2: Beyond Cyberspace (1996)\nDeathline (a.k.a. Redline) (1997)\nThe Fifth Element (1997)\nNirvana (1997)\nAndromedia (1998)\nNew Rose Hotel (1998)\nPi (1998)\nSkyggen (a.k.a. Webmaster) (1998)\nDark City (1998)\neXistenZ (1999)\nThe Thirteenth Floor (1999)\nBicentennial Man (1999)\nThe Matrix (1999)\nI.K.U. (2000)\nThe 6th Day (2000)\nAvalon (2001)\nA.I. Artificial Intelligence (2001)\nElectric Dragon 80.000 V (2001)\nCypher (2002)\nDead or Alive: Final (2002)\nImpostor (2002)\nMinority Report (2002)\nResurrection of the Little Match Girl (2002)\nAll Tomorrow's Parties (2003)\nCode 46 (2003)\nThe Matrix Reloaded (2003)\nThe Matrix Revolutions (2003)\nNatural City (2003)\nPaycheck (2003)\nAvatar (a.k.a. Cyber Wars) (2004)\nImmortal (2004)\nI, Robot (2004)\nParanoia 1.0 (a.k.a. One Point 0) (2004)\nÆon Flux (2005)\nChildren of Men (2006)\nUltraviolet (2006)\nChrysalis (2007)\nEden Log (2007)\nThe Gene Generation (2007)\nBabylon A.D. (2008)\nSleep Dealer (2008)\nTokyo Gore Police (2008)\nDistrict 9 (2009)\nHardwired (2009)\nSurrogates (2009)\nTetsuo: The Bullet Man (2009)\nTron: Legacy (2010)"]], "corpus": "wikipedia"}
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{"tstamp": 1722629432.7512, "task_type": "retrieval", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1722629432.226, "finish": 1722629432.7512, "ip": "", "conv_id": "57b220e9c514481e8734add97a38a23c", "model_name": "text-embedding-004", "prompt": "The movie about the cyborg from the future that wants to change the future", "output": [["The movie about the cyborg from the future that wants to change the future", "Cyborg She\n\nFurther in the future (63 years later) in 2133, a girl is told by her friend that there is a cyborg on display that looks just like her. She is curious and buys the now defunct cyborg to experience the memories stored in her hard drive. Intrigued, she then decides to fulfil her wish of going back in time to meet Jiro. She is revealed to be the actual girl who met Jiro on his 20th birthday (22 November 2007), who did so because she wanted to meet him before the cyborg did. After the events of the story, she comes again to the moment when Jiro weeps over the destroyed body of the cyborg. She then says, \"I can feel his heart,\" and decides to live with Jiro from then on, changing his fate again.\nTimelines\nWhile revealed dramatically in different manners throughout the film, the narrative includes three distinct timelines that intertwine to form the full story.\nTimeline 1\nOn his 20th birthday (22 November 2007), Jiro is visited by a mysterious girl who charms him but leaves suddenly after telling him that the man living in Jiro's house jilted her. Jiro buys a lottery ticket shortly before his 21st birthday (22 November 2008). On that day, he is tragically shot and wounded by a crazed gunman at the Italian restaurant.\nAlthough paralyzed for the rest of his life,\nhe is able to fulfill his childhood promise to his (grand)mother and become a scientist,\nusing his lottery winnings to create a cyborg in the perfect image of the girl who charmed him on his 20th birthday. From his high-tech wheelchair complete with robotic arms, he records a message to his younger self,\nembeds the message in the cyborg, and\nsends her back to 22 November 2008 to meet himself on his 21st birthday and prevent the shooting."]], "corpus": "wikipedia"}
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{"tstamp": 1722629432.7512, "task_type": "retrieval", "type": "chat", "model": "voyage-multilingual-2", "gen_params": {}, "start": 1722629432.226, "finish": 1722629432.7512, "ip": "", "conv_id": "3749b9f3ab854e3493adb30526a7d7e0", "model_name": "voyage-multilingual-2", "prompt": "The movie about the cyborg from the future that wants to change the future", "output": [["The movie about the cyborg from the future that wants to change the future", "Cyborg She\n\nFurther in the future (63 years later) in 2133, a girl is told by her friend that there is a cyborg on display that looks just like her. She is curious and buys the now defunct cyborg to experience the memories stored in her hard drive. Intrigued, she then decides to fulfil her wish of going back in time to meet Jiro. She is revealed to be the actual girl who met Jiro on his 20th birthday (22 November 2007), who did so because she wanted to meet him before the cyborg did. After the events of the story, she comes again to the moment when Jiro weeps over the destroyed body of the cyborg. She then says, \"I can feel his heart,\" and decides to live with Jiro from then on, changing his fate again.\nTimelines\nWhile revealed dramatically in different manners throughout the film, the narrative includes three distinct timelines that intertwine to form the full story.\nTimeline 1\nOn his 20th birthday (22 November 2007), Jiro is visited by a mysterious girl who charms him but leaves suddenly after telling him that the man living in Jiro's house jilted her. Jiro buys a lottery ticket shortly before his 21st birthday (22 November 2008). On that day, he is tragically shot and wounded by a crazed gunman at the Italian restaurant.\nAlthough paralyzed for the rest of his life,\nhe is able to fulfill his childhood promise to his (grand)mother and become a scientist,\nusing his lottery winnings to create a cyborg in the perfect image of the girl who charmed him on his 20th birthday. From his high-tech wheelchair complete with robotic arms, he records a message to his younger self,\nembeds the message in the cyborg, and\nsends her back to 22 November 2008 to meet himself on his 21st birthday and prevent the shooting."]], "corpus": "wikipedia"}
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{"tstamp": 1722629462.3333, "task_type": "retrieval", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1722629461.9791, "finish": 1722629462.3333, "ip": "", "conv_id": "787173adcb6741cfb09f17b26359fdf3", "model_name": "text-embedding-004", "prompt": "The popular movie about the cyborg from the future ", "output": [["The popular movie about the cyborg from the future ", "Cyborg (film)\n\nCyborg is a 1989 American martial-arts cyberpunk film directed by Albert Pyun. Jean-Claude van Damme stars as Gibson Rickenbacker, a mercenary who battles a group of murderous marauders led by Fender Tremolo (Vincent Klyn) along the East coast of the United States in a post-apocalyptic future. It was followed by the sequels Cyborg 2 (1993) and Cyborg 3: The Recycler (1994).\nPlot\nA plague known as the living death cripples civilization. A small group of surviving scientists and doctors — located in Atlanta, home of the CDC — work on a cure to save what remains of humanity. To complete their work they need information stored on a computer system in New York City. Pearl Prophet volunteers for the dangerous courier mission and is made into a cyborg through surgical augmentation.\nPearl, accompanied by bodyguard Marshall Strat, retrieves the data in New York but is pursued by the vicious Fender Tremolo and his gang of pirates. Fender wants the cure so he can have a monopoly on its production. Strat, badly injured while fighting the pirates, tells Pearl to leave him and find a mercenary, known as a \"slinger\", who can escort her to safety. She gets cornered but is saved by a slinger named Gibson Rickenbacker. After she explains her situation, they are overrun by Fender's gang, and Gibson is knocked out by falling debris. Fender demands that she accompany him to Atlanta or die."]], "corpus": "wikipedia"}
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{"tstamp": 1722629462.3333, "task_type": "retrieval", "type": "chat", "model": "voyage-multilingual-2", "gen_params": {}, "start": 1722629461.9791, "finish": 1722629462.3333, "ip": "", "conv_id": "77a1a25b907444d08e56c60cc0517e82", "model_name": "voyage-multilingual-2", "prompt": "The popular movie about the cyborg from the future ", "output": [["The popular movie about the cyborg from the future ", "List of cyberpunk works\n\nThe Lawnmower Man (1992) Tetsuo II: Body Hammer (1992)\nCyborg 2 (1993)\nDemolition Man (1993)\nRoboCop 3 (1993)\nRobot Wars (1993)\nPlughead Rewired: Circuitry Man II (1994)\nDeath Machine (1994)\nHackers (1995)\nJohnny Mnemonic (1995)\nJudge Dredd (1995)\nStrange Days (1995)\nVirtuosity (1995)\nEscape from L.A. (1996)\nThe Lawnmower Man 2: Beyond Cyberspace (1996)\nDeathline (a.k.a. Redline) (1997)\nThe Fifth Element (1997)\nNirvana (1997)\nAndromedia (1998)\nNew Rose Hotel (1998)\nPi (1998)\nSkyggen (a.k.a. Webmaster) (1998)\nDark City (1998)\neXistenZ (1999)\nThe Thirteenth Floor (1999)\nBicentennial Man (1999)\nThe Matrix (1999)\nI.K.U. (2000)\nThe 6th Day (2000)\nAvalon (2001)\nA.I. Artificial Intelligence (2001)\nElectric Dragon 80.000 V (2001)\nCypher (2002)\nDead or Alive: Final (2002)\nImpostor (2002)\nMinority Report (2002)\nResurrection of the Little Match Girl (2002)\nAll Tomorrow's Parties (2003)\nCode 46 (2003)\nThe Matrix Reloaded (2003)\nThe Matrix Revolutions (2003)\nNatural City (2003)\nPaycheck (2003)\nAvatar (a.k.a. Cyber Wars) (2004)\nImmortal (2004)\nI, Robot (2004)\nParanoia 1.0 (a.k.a. One Point 0) (2004)\nÆon Flux (2005)\nChildren of Men (2006)\nUltraviolet (2006)\nChrysalis (2007)\nEden Log (2007)\nThe Gene Generation (2007)\nBabylon A.D. (2008)\nSleep Dealer (2008)\nTokyo Gore Police (2008)\nDistrict 9 (2009)\nHardwired (2009)\nSurrogates (2009)\nTetsuo: The Bullet Man (2009)\nTron: Legacy (2010)"]], "corpus": "wikipedia"}
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{"tstamp": 1722629475.6787, "task_type": "retrieval", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1722629475.2154, "finish": 1722629475.6787, "ip": "", "conv_id": "773dbd643f36459fadf8a17d6ba3f4a4", "model_name": "text-embedding-004", "prompt": "The most movie about the cyborg from the future", "output": [["The most movie about the cyborg from the future", "Cyborg (film)\n\nCyborg is a 1989 American martial-arts cyberpunk film directed by Albert Pyun. Jean-Claude van Damme stars as Gibson Rickenbacker, a mercenary who battles a group of murderous marauders led by Fender Tremolo (Vincent Klyn) along the East coast of the United States in a post-apocalyptic future. It was followed by the sequels Cyborg 2 (1993) and Cyborg 3: The Recycler (1994).\nPlot\nA plague known as the living death cripples civilization. A small group of surviving scientists and doctors — located in Atlanta, home of the CDC — work on a cure to save what remains of humanity. To complete their work they need information stored on a computer system in New York City. Pearl Prophet volunteers for the dangerous courier mission and is made into a cyborg through surgical augmentation.\nPearl, accompanied by bodyguard Marshall Strat, retrieves the data in New York but is pursued by the vicious Fender Tremolo and his gang of pirates. Fender wants the cure so he can have a monopoly on its production. Strat, badly injured while fighting the pirates, tells Pearl to leave him and find a mercenary, known as a \"slinger\", who can escort her to safety. She gets cornered but is saved by a slinger named Gibson Rickenbacker. After she explains her situation, they are overrun by Fender's gang, and Gibson is knocked out by falling debris. Fender demands that she accompany him to Atlanta or die."]], "corpus": "wikipedia"}
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{"tstamp": 1722629475.6787, "task_type": "retrieval", "type": "chat", "model": "voyage-multilingual-2", "gen_params": {}, "start": 1722629475.2154, "finish": 1722629475.6787, "ip": "", "conv_id": "3c07b14d95844418b8bbb3097f0c9fbb", "model_name": "voyage-multilingual-2", "prompt": "The most movie about the cyborg from the future", "output": [["The most movie about the cyborg from the future", "List of cyberpunk works\n\nRepo Men (2010) Priest (2011)\nDredd (2012)\nTotal Recall (2012)\nElysium (2013)\nThe Zero Theorem (2013)\nAutomata (2014)\nTranscendence (2014)\nRoboCop (2014)\nChappie (2015)\nEx Machina (2015)\nHardcore Henry (2015)\nGhost in the Shell (2017)\nBleeding Steel (2017)\nBlade Runner 2049 (2017)\nReady Player One (2018)\nMute (2018)\nUpgrade (2018)\nHotel Artemis (2018)\nAnon (2018)\nAlita: Battle Angel (2019)\nReminiscence (2021)\nFinch (2021)\nJung E (2023)\nThe Creator (2023)\nRestore Point (2023)\nAnimation\nMegazone 23 (1985)\nNeo Tokyo (1986)\nBlack Magic M-66 (1987)\nBubblegum Crisis (1987)\nBubblegum Crisis Tokyo 2040 (1998)\nAkira (1988)\nRoboCop\nRoboCop: The Animated Series (1988)\nRoboCop: Alpha Commando (1998–1999)\nDominion\nDominion (1988–1989)\nNew Dominion Tank Police (1993–1994)\nTank Police Team: Tank S.W.A.T. 01 (2006)\nAppleseed\nAppleseed (1988 film)\nAppleseed (2004 film)\nAppleseed Ex Machina (2007 film)\nAppleseed XIII (2011)\nAppleseed Alpha (2014 film)\nA.D. Police Files (1990)\nCyber City Oedo 808 (1990)\nÆon Flux (1991–1995)\nSilent Möbius (1991–2003)\nGenocyber (1993)\nMacross Plus (1994)\nArmitage III (1995)\nGhost in the Shell\nGhost in the Shell (1995 film)\nGhost in the Shell 2: Innocence (2004 film)\nGhost in the Shell: Stand Alone Complex (S.A.C.)\nGhost in the Shell: Stand Alone Complex (S.A.C.) (2002–2003)\nGhost in the Shell: S.A.C. 2nd GIG (2004–2005)\nGhost in the Shell: Stand Alone Complex - Solid State Society (2006 film)"]], "corpus": "wikipedia"}
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data/retrieval_side_by_side-1948e9c4-e613-4487-b12e-0e988013b994.jsonl
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{"tstamp": 1722619397.2885, "task_type": "retrieval", "type": "leftvote", "models": ["GritLM/GritLM-7B", "BAAI/bge-large-en-v1.5"], "ip": "", "0_conv_id": "bf169375e56449aba31e8f9e5d99d58c", "0_model_name": "GritLM/GritLM-7B", "0_prompt": "nader shah readon to die", "0_output": [["nader shah readon to die", "Nader Shah\n\nHe proposed a peace treaty with the Ottomans, in it, he proclaimed the Persians wanted the Ja'fari Maddhab to be incorporated as a Madhhab of Islam. While only a nominal claim, Nader's army was increasingly drawing from Sunni Afghans, Kurds, Turkmens, Baloch, and others who were happy with a less sectarian Persia. Externally he presented Persia as completely sympathetic to Sunnis. He probably did this for political reasons in order to increase his legitimacy within the Muslim world; he would have never been accepted if he remained a radical Shia Muslim like the Safavid Shahs. Though as stated countless times before, internally, he was probably agnostic.\nWhenever Nader laid siege to a city, he would construct a city of his own outside the walls. His encampment was filled with markets, mosques, bathhouses, coffeehouses, and stables. He did this to show the besieged his army would be there for the long haul, to prevent diseases from spreading within his troops' ranks, and to occupy his troops' time.\nDeath and legacy\nNader became increasingly cruel as a result of his illness and his desire to extort more and more tax money to pay for his military campaigns. New revolts broke out and Nader crushed them ruthlessly, building towers from his victims' skulls in imitation of his hero Timur. In 1747, Nader set off for Khorasan, where he intended to punish Kurdish rebels. Some of his officers and courtiers feared he was about to execute them and plotted against him, including two of his relatives: Muhammad Quli Khan, the captain of the guards, and Salah Khan, the overseer of Nader's household. Nader Shah was assassinated on 20 June 1747, at Quchan in Khorasan. He was surprised in his sleep by around fifteen conspirators, and stabbed to death. Nader was able to kill two of the assassins before he died."]], "0_corpus": "wikipedia", "1_conv_id": "0465b65c27e648b8835a4dddb5099ffe", "1_model_name": "BAAI/bge-large-en-v1.5", "1_prompt": "nader shah readon to die", "1_output": [["nader shah readon to die", "Nader Shah\n\nNader Shah Afshar (; 6 August 1698 – 20 June 1747) was the founder of the Afsharid dynasty of Iran and one of the most powerful rulers in Iranian history, ruling as shah of Iran (Persia) from 1736 to 1747, when he was assassinated during a rebellion. He fought numerous campaigns throughout the Middle East, the Caucasus, Central Asia, and South Asia, such as the battles of Herat, Mihmandust, Murche-Khort, Kirkuk, Yeghevārd, Khyber Pass, Karnal, and Kars. Because of his military genius, some historians have described him as the Napoleon of Persia, the Sword of Persia, or the Second Alexander.\nNader belonged to the Turkoman Afshars, one of the seven Qizilbash tribes that helped the Safavid dynasty establish their power in Iran.\nNader rose to power during a period of chaos in Iran after a rebellion by the Hotaki Afghans had overthrown the weak Shah Soltan Hoseyn (), while the arch-enemy of the Safavids, the Ottomans, as well as the Russians had seized Iranian territory for themselves. Nader reunited the Iranian realm and removed the invaders. He became so powerful that he decided to depose the last members of the Safavid dynasty, which had ruled Iran for over 200 years, and become Shah himself in 1736. His numerous campaigns created a great empire that, at its maximum extent, briefly encompassed what is now part of or includes Afghanistan, Armenia, Azerbaijan, Bahrain, Georgia, India, Iran, Iraq, Turkey, Turkmenistan, Oman, Pakistan, Uzbekistan, the North Caucasus, and the Persian Gulf, but his military spending had a ruinous effect on the Iranian economy."]], "1_corpus": "wikipedia"}
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{"tstamp": 1722627858.3636, "task_type": "retrieval", "type": "tievote", "models": ["text-embedding-004", "voyage-multilingual-2"], "ip": "", "0_conv_id": "836535b39412411fabc1652989e3fa50", "0_model_name": "text-embedding-004", "0_prompt": "latest iphone", "0_output": [["latest iphone", "IPhone\n\nThe iPhone 13, 13 Mini, 13 Pro, and 13 Pro Max were announced via a livestream event on September 14, 2021. All models featured larger camera sensors, larger batteries for longer battery life, and a narrower \"notch\" screen cutout. The iPhone 13 Pro and 13 Pro Max additionally introduced smoother adaptive 120 Hz refresh rate \"ProMotion\" technology in its OLED display, and three-times optical zoom in the telephoto lens. The low-cost third-generation iPhone SE was introduced on March 8, 2022, and incorporated the A15 Bionic chip from the iPhone 13, but otherwise retained similar hardware to the second-generation iPhone SE.\nThe iPhone 14, 14 Plus, 14 Pro, and 14 Pro Max were announced on September 7, 2022. All models introduced satellite phone emergency calling functionality. The iPhone 14 Plus introduced the large 6.7-inch screen size, first seen on the iPhone 12 Pro Max, into a lower-cost device. The iPhone 14 Pro and 14 Pro Max additionally introduced a higher-resolution 48-megapixel main camera, the first increase in megapixel count since the iPhone 6s; it also introduced always-on display technology to the lock screen, and an interactive status bar interface integrated in a redesigned screen cutout, entitled \"Dynamic Island\".\nThe iPhone 15, 15 Plus, 15 Pro, and 15 Pro Max were announced on September 12, 2023. Starting with this group of devices, all models switch to using USB-C as their power connector to comply with European Commission regulations, replacing Apple's proprietary Lightning connector after eleven years of use in previous models. All models feature the Dynamic Island, which debuted with the iPhone 14 Pro (effectively retiring the \"notch\" display cutout), slightly curved edges, and a frosted glass back. The iPhone 15 Pro and 15 Pro Max also replace the mute switch and stainless-steel edges with the \"Action\" button and titanium, respectively."]], "0_corpus": "wikipedia", "1_conv_id": "f6f91a6eb6a14eacbeb2889ec9c75583", "1_model_name": "voyage-multilingual-2", "1_prompt": "latest iphone", "1_output": [["latest iphone", "List of iPhone models\n\nThe iPhone, developed by Apple Inc., is a line of smartphones that combine a mobile phone, digital camera, and personal computer, music player into one device. Introduced by then-CEO Steve Jobs on January 9, 2007, the iPhone revolutionized the mobile phone industry with its multi-touch interface and lack of physical keyboard. Over the years, Apple has released numerous models, each iteration bringing advancements in hardware, software, and design.\nThe iPhone series has expanded to include various models catering to different user needs and preferences, from entry-level options to high end devices. Key innovations across the generations have included improvements in processing power, camera capabilities, display technology, and battery life, as well as the introduction of new features such as Face ID, Touch ID, advanced augmented reality (AR), and 5G connectivity.\nAs of 2024, the most recent iPhone models are the iPhone 15, iPhone 15 Plus, iPhone 15 Pro, and iPhone 15 Pro Max, released in September 22, 2023.\nComparison of models\nRelease dates\nSupported\nUnsupported (64-bit CPU, 2013 to 2017 models)\nUnsupported (32-bit CPU)\niPhone systems-on-chips"]], "1_corpus": "wikipedia"}
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{"tstamp": 1722629268.0022, "task_type": "retrieval", "type": "leftvote", "models": ["text-embedding-004", "voyage-multilingual-2"], "ip": "", "0_conv_id": "ccdd41cd56264231b465f6f886b2a231", "0_model_name": "text-embedding-004", "0_prompt": "approximate nearest neighbor search HNSW", "0_output": [["approximate nearest neighbor search HNSW", "Title: Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs\n\nAbstract: We present a new approach for the approximate K-nearest neighbor search based on navigable small world graphs with controllable hierarchy (Hierarchical NSW, HNSW). The proposed solution is fully graph-based, without any need for additional search structures, which are typically used at the coarse search stage of the most proximity graph techniques. Hierarchical NSW incrementally builds a multi-layer structure consisting from hierarchical set of proximity graphs (layers) for nested subsets of the stored elements. The maximum layer in which an element is present is selected randomly with an exponentially decaying probability distribution. This allows producing graphs similar to the previously studied Navigable Small World (NSW) structures while additionally having the links separated by their characteristic distance scales. Starting search from the upper layer together with utilizing the scale separation boosts the performance compared to NSW and allows a logarithmic complexity scaling. Additional employment of a heuristic for selecting proximity graph neighbors significantly increases performance at high recall and in case of highly clustered data. Performance evaluation has demonstrated that the proposed general metric space search index is able to strongly outperform previous opensource state-of-the-art vector-only approaches. Similarity of the algorithm to the skip list structure allows straightforward balanced distributed implementation."]], "0_corpus": "arxiv", "1_conv_id": "971a0794d9624ec78f219ed9b611fcb9", "1_model_name": "voyage-multilingual-2", "1_prompt": "approximate nearest neighbor search HNSW", "1_output": [["approximate nearest neighbor search HNSW", "Title: Approximate Nearest Neighbor Search on High Dimensional Data --- Experiments, Analyses, and Improvement (v1.0)\n\nAbstract: Approximate Nearest neighbor search (ANNS) is fundamental and essential operation in applications from many domains, such as databases, machine learning, multimedia, and computer vision. Although many algorithms have been continuously proposed in the literature in the above domains each year, there is no comprehensive evaluation and analysis of their performances. In this paper, we conduct a comprehensive experimental evaluation of many state-of-the-art methods for approximate nearest neighbor search. Our study (1) is cross-disciplinary (i.e., including 16 algorithms in different domains, and from practitioners) and (2) has evaluated a diverse range of settings, including 20 datasets, several evaluation metrics, and different query workloads. The experimental results are carefully reported and analyzed to understand the performance results. Furthermore, we propose a new method that achieves both high query efficiency and high recall empirically on majority of the datasets under a wide range of settings."]], "1_corpus": "arxiv"}
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{"tstamp": 1722619397.2885, "task_type": "retrieval", "type": "leftvote", "models": ["GritLM/GritLM-7B", "BAAI/bge-large-en-v1.5"], "ip": "", "0_conv_id": "bf169375e56449aba31e8f9e5d99d58c", "0_model_name": "GritLM/GritLM-7B", "0_prompt": "nader shah readon to die", "0_output": [["nader shah readon to die", "Nader Shah\n\nHe proposed a peace treaty with the Ottomans, in it, he proclaimed the Persians wanted the Ja'fari Maddhab to be incorporated as a Madhhab of Islam. While only a nominal claim, Nader's army was increasingly drawing from Sunni Afghans, Kurds, Turkmens, Baloch, and others who were happy with a less sectarian Persia. Externally he presented Persia as completely sympathetic to Sunnis. He probably did this for political reasons in order to increase his legitimacy within the Muslim world; he would have never been accepted if he remained a radical Shia Muslim like the Safavid Shahs. Though as stated countless times before, internally, he was probably agnostic.\nWhenever Nader laid siege to a city, he would construct a city of his own outside the walls. His encampment was filled with markets, mosques, bathhouses, coffeehouses, and stables. He did this to show the besieged his army would be there for the long haul, to prevent diseases from spreading within his troops' ranks, and to occupy his troops' time.\nDeath and legacy\nNader became increasingly cruel as a result of his illness and his desire to extort more and more tax money to pay for his military campaigns. New revolts broke out and Nader crushed them ruthlessly, building towers from his victims' skulls in imitation of his hero Timur. In 1747, Nader set off for Khorasan, where he intended to punish Kurdish rebels. Some of his officers and courtiers feared he was about to execute them and plotted against him, including two of his relatives: Muhammad Quli Khan, the captain of the guards, and Salah Khan, the overseer of Nader's household. Nader Shah was assassinated on 20 June 1747, at Quchan in Khorasan. He was surprised in his sleep by around fifteen conspirators, and stabbed to death. Nader was able to kill two of the assassins before he died."]], "0_corpus": "wikipedia", "1_conv_id": "0465b65c27e648b8835a4dddb5099ffe", "1_model_name": "BAAI/bge-large-en-v1.5", "1_prompt": "nader shah readon to die", "1_output": [["nader shah readon to die", "Nader Shah\n\nNader Shah Afshar (; 6 August 1698 – 20 June 1747) was the founder of the Afsharid dynasty of Iran and one of the most powerful rulers in Iranian history, ruling as shah of Iran (Persia) from 1736 to 1747, when he was assassinated during a rebellion. He fought numerous campaigns throughout the Middle East, the Caucasus, Central Asia, and South Asia, such as the battles of Herat, Mihmandust, Murche-Khort, Kirkuk, Yeghevārd, Khyber Pass, Karnal, and Kars. Because of his military genius, some historians have described him as the Napoleon of Persia, the Sword of Persia, or the Second Alexander.\nNader belonged to the Turkoman Afshars, one of the seven Qizilbash tribes that helped the Safavid dynasty establish their power in Iran.\nNader rose to power during a period of chaos in Iran after a rebellion by the Hotaki Afghans had overthrown the weak Shah Soltan Hoseyn (), while the arch-enemy of the Safavids, the Ottomans, as well as the Russians had seized Iranian territory for themselves. Nader reunited the Iranian realm and removed the invaders. He became so powerful that he decided to depose the last members of the Safavid dynasty, which had ruled Iran for over 200 years, and become Shah himself in 1736. His numerous campaigns created a great empire that, at its maximum extent, briefly encompassed what is now part of or includes Afghanistan, Armenia, Azerbaijan, Bahrain, Georgia, India, Iran, Iraq, Turkey, Turkmenistan, Oman, Pakistan, Uzbekistan, the North Caucasus, and the Persian Gulf, but his military spending had a ruinous effect on the Iranian economy."]], "1_corpus": "wikipedia"}
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3 |
{"tstamp": 1722627858.3636, "task_type": "retrieval", "type": "tievote", "models": ["text-embedding-004", "voyage-multilingual-2"], "ip": "", "0_conv_id": "836535b39412411fabc1652989e3fa50", "0_model_name": "text-embedding-004", "0_prompt": "latest iphone", "0_output": [["latest iphone", "IPhone\n\nThe iPhone 13, 13 Mini, 13 Pro, and 13 Pro Max were announced via a livestream event on September 14, 2021. All models featured larger camera sensors, larger batteries for longer battery life, and a narrower \"notch\" screen cutout. The iPhone 13 Pro and 13 Pro Max additionally introduced smoother adaptive 120 Hz refresh rate \"ProMotion\" technology in its OLED display, and three-times optical zoom in the telephoto lens. The low-cost third-generation iPhone SE was introduced on March 8, 2022, and incorporated the A15 Bionic chip from the iPhone 13, but otherwise retained similar hardware to the second-generation iPhone SE.\nThe iPhone 14, 14 Plus, 14 Pro, and 14 Pro Max were announced on September 7, 2022. All models introduced satellite phone emergency calling functionality. The iPhone 14 Plus introduced the large 6.7-inch screen size, first seen on the iPhone 12 Pro Max, into a lower-cost device. The iPhone 14 Pro and 14 Pro Max additionally introduced a higher-resolution 48-megapixel main camera, the first increase in megapixel count since the iPhone 6s; it also introduced always-on display technology to the lock screen, and an interactive status bar interface integrated in a redesigned screen cutout, entitled \"Dynamic Island\".\nThe iPhone 15, 15 Plus, 15 Pro, and 15 Pro Max were announced on September 12, 2023. Starting with this group of devices, all models switch to using USB-C as their power connector to comply with European Commission regulations, replacing Apple's proprietary Lightning connector after eleven years of use in previous models. All models feature the Dynamic Island, which debuted with the iPhone 14 Pro (effectively retiring the \"notch\" display cutout), slightly curved edges, and a frosted glass back. The iPhone 15 Pro and 15 Pro Max also replace the mute switch and stainless-steel edges with the \"Action\" button and titanium, respectively."]], "0_corpus": "wikipedia", "1_conv_id": "f6f91a6eb6a14eacbeb2889ec9c75583", "1_model_name": "voyage-multilingual-2", "1_prompt": "latest iphone", "1_output": [["latest iphone", "List of iPhone models\n\nThe iPhone, developed by Apple Inc., is a line of smartphones that combine a mobile phone, digital camera, and personal computer, music player into one device. Introduced by then-CEO Steve Jobs on January 9, 2007, the iPhone revolutionized the mobile phone industry with its multi-touch interface and lack of physical keyboard. Over the years, Apple has released numerous models, each iteration bringing advancements in hardware, software, and design.\nThe iPhone series has expanded to include various models catering to different user needs and preferences, from entry-level options to high end devices. Key innovations across the generations have included improvements in processing power, camera capabilities, display technology, and battery life, as well as the introduction of new features such as Face ID, Touch ID, advanced augmented reality (AR), and 5G connectivity.\nAs of 2024, the most recent iPhone models are the iPhone 15, iPhone 15 Plus, iPhone 15 Pro, and iPhone 15 Pro Max, released in September 22, 2023.\nComparison of models\nRelease dates\nSupported\nUnsupported (64-bit CPU, 2013 to 2017 models)\nUnsupported (32-bit CPU)\niPhone systems-on-chips"]], "1_corpus": "wikipedia"}
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{"tstamp": 1722629268.0022, "task_type": "retrieval", "type": "leftvote", "models": ["text-embedding-004", "voyage-multilingual-2"], "ip": "", "0_conv_id": "ccdd41cd56264231b465f6f886b2a231", "0_model_name": "text-embedding-004", "0_prompt": "approximate nearest neighbor search HNSW", "0_output": [["approximate nearest neighbor search HNSW", "Title: Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs\n\nAbstract: We present a new approach for the approximate K-nearest neighbor search based on navigable small world graphs with controllable hierarchy (Hierarchical NSW, HNSW). The proposed solution is fully graph-based, without any need for additional search structures, which are typically used at the coarse search stage of the most proximity graph techniques. Hierarchical NSW incrementally builds a multi-layer structure consisting from hierarchical set of proximity graphs (layers) for nested subsets of the stored elements. The maximum layer in which an element is present is selected randomly with an exponentially decaying probability distribution. This allows producing graphs similar to the previously studied Navigable Small World (NSW) structures while additionally having the links separated by their characteristic distance scales. Starting search from the upper layer together with utilizing the scale separation boosts the performance compared to NSW and allows a logarithmic complexity scaling. Additional employment of a heuristic for selecting proximity graph neighbors significantly increases performance at high recall and in case of highly clustered data. Performance evaluation has demonstrated that the proposed general metric space search index is able to strongly outperform previous opensource state-of-the-art vector-only approaches. Similarity of the algorithm to the skip list structure allows straightforward balanced distributed implementation."]], "0_corpus": "arxiv", "1_conv_id": "971a0794d9624ec78f219ed9b611fcb9", "1_model_name": "voyage-multilingual-2", "1_prompt": "approximate nearest neighbor search HNSW", "1_output": [["approximate nearest neighbor search HNSW", "Title: Approximate Nearest Neighbor Search on High Dimensional Data --- Experiments, Analyses, and Improvement (v1.0)\n\nAbstract: Approximate Nearest neighbor search (ANNS) is fundamental and essential operation in applications from many domains, such as databases, machine learning, multimedia, and computer vision. Although many algorithms have been continuously proposed in the literature in the above domains each year, there is no comprehensive evaluation and analysis of their performances. In this paper, we conduct a comprehensive experimental evaluation of many state-of-the-art methods for approximate nearest neighbor search. Our study (1) is cross-disciplinary (i.e., including 16 algorithms in different domains, and from practitioners) and (2) has evaluated a diverse range of settings, including 20 datasets, several evaluation metrics, and different query workloads. The experimental results are carefully reported and analyzed to understand the performance results. Furthermore, we propose a new method that achieves both high query efficiency and high recall empirically on majority of the datasets under a wide range of settings."]], "1_corpus": "arxiv"}
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+
{"tstamp": 1722629388.132, "task_type": "retrieval", "type": "bothbadvote", "models": ["text-embedding-004", "voyage-multilingual-2"], "ip": "", "0_conv_id": "49a25a431ae04ef3b3eead9bcc3cb69b", "0_model_name": "text-embedding-004", "0_prompt": "Dictator of the country on the west to Russia", "0_output": [["Dictator of the country on the west to Russia", "Dictatorship\n\nDictatorship in Europe largely ended after the fall of the Soviet Union in 1991, and the liberalization of most communist states. Belarus under the rule of Alexander Lukashenko has been described as \"the last European dictatorship\", though the rule of Vladimir Putin in Russia has also been described as a dictatorship. Latin America saw a period of liberalization similar to that of Europe at the end of the Cold War, with Cuba being the only Latin American country that did not experience any degree of liberalization between 1992 and 2010. The countries of Central Asia did not liberalize after the fall of the Soviet Union, instead forming as dictatorships led by former elites of the Communist Party and then later by successive dictators. These countries maintain parliaments and human rights organizations, but these remain under the control of the countries' respective dictators.\nThe Middle East and North Africa did not undergo liberalization during the third wave of democratisation, and most countries in this region remain dictatorships in the 21st century. Dictatorships in the Middle East and Northern Africa are either illiberal republics in which a president holds power through unfair elections, or they are absolute monarchies in which power is inherited. Iraq, Israel, Lebanon, and Palestine are the only democratic nations in the region, with Israel being the only nation in this region that affords broad political liberties to its citizens. Although Tunisia was seen as a pillar of the Arab Spring for democracy, by 2023, it was no longer classified as a democracy. Turkey's President Recep Tayyip Erdoğan has been described by several sources as a dictator."]], "0_corpus": "wikipedia", "1_conv_id": "8131f1d1c5b4466fbbdab2002fda6bdb", "1_model_name": "voyage-multilingual-2", "1_prompt": "Dictator of the country on the west to Russia", "1_output": [["Dictator of the country on the west to Russia", "Hetalia: Axis Powers\n\nis the tallest of all the nations, and has a thick muscular body. He has wavy silver hair, purple eyes, a large nose, and wears a thick winter coat and a silk scarf. Russia has a seemingly kind demeanor, but has suffered mental trauma following the strain of his bloody history, and as a result he has the innocence and cruelty of a child; sometimes he casts an aura of pure evil around him whenever such malicious thoughts enter his mind. He often terrifies the other countries without even trying, especially when he was the Soviet Union. He would abuse the Baltics and still stalks them in the modern day, especially Lithuania. Occasionally, he stalks China, while in a panda costume; and he holds a subtle rivalry with the Western nations, especially America. His primary target of resentment is General Winter, because despite using the cold to his advantage in war, he is also attacked by him every year. Russia has also been known to want Lithuania and other countries to become one with him. Russia also has two sisters: his older sister, Ukraine and his younger sister, Belarus. He becomes gloomy and depressed when either of them are on his mind, because Ukraine left him to try to make friends in the EU, and Belarus is obsessed with the idea of forcing him to marry her. Belarus seems to be the only other country which Russia fears. Russia happily promises that eventually \"all will become one with Russia\". He dreams of living in a warm place surrounded by sunflowers, and vodka is his fuel. He says \"kolkolkol\" to threaten his subordinates when he is angered. Russia is often seen carrying a metal faucet pipe. In the anime series, he is voiced by Yasuhiro Takato in Japanese and Jerry Jewell in English. In 2008, he received the name Ivan Braginsky."]], "1_corpus": "wikipedia"}
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