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{"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"}
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{"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"}
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{"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"}
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{"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"}
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{"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"}
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{"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"}
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{"tstamp": 1724309012.4053, "task_type": "retrieval", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1724309009.9909, "finish": 1724309012.4053, "ip": "", "conv_id": "dd10fc5bcdb54de5b780dd5ce3e78618", "model_name": "GritLM/GritLM-7B", "prompt": "Tell me about golden axe", "output": [["Tell me about golden axe", "Golden Axe\n\nis a series of side-scrolling beat 'em up arcade video games developed by Sega. The series takes place in a medieval fantasy world where several heroes have the task of recovering the legendary Golden Axe, the mainstay element of the series.\nMain series\nGolden Axe\nGolden Axe is a side-scrolling arcade beat 'em up game released in 1989 by Sega. Makoto Uchida was the primary developer of the game and also was responsible for the creation of Altered Beast. The game places the player in control of one of three warriors each bent on revenge against the vile dictator Death Adder. Death Adder has taken over the once peaceful land of Yuria and murdered their friend and partner, Alex. Several ports of the game were created, most notably for the Mega Drive/Genesis and Master System. Several sequels followed.\nThe game focuses on three heroes. One of them is a battle-axe-wielding dwarf, Gilius Thunderhead, from the mines of Wolud, whose twin brother was killed by the soldiers of Death Adder. Another is a male barbarian, Ax Battler, wielding a two-handed broadsword, looking for revenge for the murder of his mother. The last is a longsword-wielding amazon, Tyris Flare, whose parents were killed by Death Adder."]], "corpus": "wikipedia"}
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{"tstamp": 1724309012.4053, "task_type": "retrieval", "type": "chat", "model": "BM25", "gen_params": {}, "start": 1724309009.9909, "finish": 1724309012.4053, "ip": "", "conv_id": "8a8a9f6cd2af4c4a8aa40ce44328a9f2", "model_name": "BM25", "prompt": "Tell me about golden axe", "output": [["Tell me about golden axe", "Golden Axe\n\nSome features were returned to the title that had been cut in previous sequels. Golden Axe III brought back the thieves from the original game, rather than the mages from Golden Axe II. Also, extra lives could be gained by freeing prisoners scattered throughout the levels. The magic system was returned to the original version where all pots are used at the same time, as opposed to the improved system in Golden Axe II that allowed the player to only use as many spellbooks as they wanted.\nCritics applauded Sega's decision not to release Golden Axe III in North America, speculating that the game's drab graphics and generally mediocre quality would have damaged the Sega Genesis's reputation.\nGolden Axe: Beast Rider\nGolden Axe: Beast Rider features the return of Tyris Flare, the female amazon warrior from the first installments of the series. Golden Axe: Beast Rider was released in October 2008.\nUntitled game\nSega announced a new Golden Axe game at The Game Awards 2023 as part of an initiative to revive many of its dormant franchises.\nSpin-offs\nGolden Axe Warrior\nThis Master System title tells another epic tale about the Golden Axe. It is an action-adventure game similar to The Legend of Zelda. The storyline continues the theme of the original Golden Axe games. The game's unit of currency is horns, and it is to be imagined that the hero cut these off of the enemies he killed.\nAx Battler: A Legend of Golden Axe"]], "corpus": "wikipedia"}
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