Scheduled Commit

data/retrieval_battle-d18695b3-7a6c-4f0d-9361-0dc8845a980a.jsonl

@@ -50,3 +50,4 @@
 {"tstamp": 1724539652.0475, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "174a6445444c433f84b0b383d1bc59ef", "0_model_name": "GritLM/GritLM-7B", "0_prompt": "Study comparing BERT, GPT-2, and RoBERTa on analogy recognition tasks", "0_output": [["Study comparing BERT, GPT-2, and RoBERTa on analogy recognition tasks", "Title: BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Identify Analogies?\n\nAbstract: Analogies play a central role in human commonsense reasoning. The ability to recognize analogies such as \"eye is to seeing what ear is to hearing\", sometimes referred to as analogical proportions, shape how we structure knowledge and understand language. Surprisingly, however, the task of identifying such analogies has not yet received much attention in the language model era. In this paper, we analyze the capabilities of transformer-based language models on this unsupervised task, using benchmarks obtained from educational settings, as well as more commonly used datasets. We find that off-the-shelf language models can identify analogies to a certain extent, but struggle with abstract and complex relations, and results are highly sensitive to model architecture and hyperparameters. Overall the best results were obtained with GPT-2 and RoBERTa, while configurations using BERT were not able to outperform word embedding models. Our results raise important questions for future work about how, and to what extent, pre-trained language models capture knowledge about abstract semantic relations."]], "0_corpus": "arxiv", "1_conv_id": "a6c390c988ce4e22a792e4b67e4b9f00", "1_model_name": "text-embedding-3-large", "1_prompt": "Study comparing BERT, GPT-2, and RoBERTa on analogy recognition tasks", "1_output": [["Study comparing BERT, GPT-2, and RoBERTa on analogy recognition tasks", "Title: BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Identify Analogies?\n\nAbstract: Analogies play a central role in human commonsense reasoning. The ability to recognize analogies such as \"eye is to seeing what ear is to hearing\", sometimes referred to as analogical proportions, shape how we structure knowledge and understand language. Surprisingly, however, the task of identifying such analogies has not yet received much attention in the language model era. In this paper, we analyze the capabilities of transformer-based language models on this unsupervised task, using benchmarks obtained from educational settings, as well as more commonly used datasets. We find that off-the-shelf language models can identify analogies to a certain extent, but struggle with abstract and complex relations, and results are highly sensitive to model architecture and hyperparameters. Overall the best results were obtained with GPT-2 and RoBERTa, while configurations using BERT were not able to outperform word embedding models. Our results raise important questions for future work about how, and to what extent, pre-trained language models capture knowledge about abstract semantic relations."]], "1_corpus": "arxiv"}
 {"tstamp": 1724539663.2262, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "282f3b2b2b444836bdc2a66cf46e4bf7", "0_model_name": "mixedbread-ai/mxbai-embed-large-v1", "0_prompt": "are v bucks shared across platforms?", "0_output": [["are v bucks shared across platforms?", "Gaming Stackexchange\n\nQ: Save The World / Battle Royale skins; are they interchangeable? I recently bought the Save The World standard edition and I was curious as to whether or not the heroes earned there are playable in Battle Royale.\nFor instance, I just started grinding out some of the event missions and there is a statue-looking hero (don't recall his name, but you probably know what I am talking about) that can be earned and I have seen this skin in videos of Battle Royale.\nObviously, they bought the skin in the Battle Royale shop when I saw it, but I was wondering if I got this skin in STW would I have it in Battle Royale as well? Only asking since when getting the twitch prime pack I had been given the two skins in both gamemodes.\n\nA: No, the skins you have in BR are not interchangable between the skins you get in STW.  \nThe only thing that carries over between both game modes are:\n\n\n*\n\n*V-Bucks\n\n*Banner Icons\n\n"]], "0_corpus": "stackexchange", "1_conv_id": "f111472c3d034826a13361b6ef559d60", "1_model_name": "BAAI/bge-large-en-v1.5", "1_prompt": "are v bucks shared across platforms?", "1_output": [["are v bucks shared across platforms?", "Gaming Stackexchange\n\nQ: Save The World / Battle Royale skins; are they interchangeable? I recently bought the Save The World standard edition and I was curious as to whether or not the heroes earned there are playable in Battle Royale.\nFor instance, I just started grinding out some of the event missions and there is a statue-looking hero (don't recall his name, but you probably know what I am talking about) that can be earned and I have seen this skin in videos of Battle Royale.\nObviously, they bought the skin in the Battle Royale shop when I saw it, but I was wondering if I got this skin in STW would I have it in Battle Royale as well? Only asking since when getting the twitch prime pack I had been given the two skins in both gamemodes.\n\nA: No, the skins you have in BR are not interchangable between the skins you get in STW.  \nThe only thing that carries over between both game modes are:\n\n\n*\n\n*V-Bucks\n\n*Banner Icons\n\n"]], "1_corpus": "stackexchange"}
 {"tstamp": 1724539709.4604, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "f6c993cf09df44288d78b36eec266ea5", "0_model_name": "intfloat/multilingual-e5-large-instruct", "0_prompt": "who plays red on orange is new black", "0_output": [["who plays red on orange is new black", "Orange Is the New Black\n\nJames McMenamin as Charlie \"Donuts\" Coates\nAlan Aisenberg as Baxter \"Gerber\" Bayley\nJimmy Gary Jr. as Felix Rikerson\nMike Birbiglia as Danny Pearson\nMarsha Stephanie Blake as Berdie Rogers\nBeth Dover as Linda Ferguson\nNick Dillenburg as Ryder Blake\nMike Houston as Lee Dixon\nEmily Tarver as Bambi \"Artesian\" McCullough\nBrad William Henke as Desi Piscatella\nEvan Arthur Hall as B. Stratman\nJohn Palladino as Josh\nMichael Torpey as Thomas \"Humps\" Humphrey\nHunter Emery as Rick Hopper\nShawna Hamic as Virginia \"Ginger\" Copeland\nSusan Heyward as Tamika Ward\nJosh Segarra as Danilo Stefanovic\nGreg Vrotsos as Greg Hellman\nNicholas Webber as J. Alvarez\nBranden Wellington as Jarod Young\nAdam Lindo as Carlos \"Clitvack\" Litvack\nOthers\nMichael Chernus as Cal Chapman\nTanya Wright as Crystal Burset\nBerto Colon as Cesar Velazquez\nDeborah Rush as Carol Chapman\nTracee Chimo as Neri Feldman\nMaria Dizzia as Polly Harper\nIan Paola as Yadriel\nJohn Magaro as Vince Muccio\nMary Steenburgen as Delia Mendez-Powell\nMiguel Izaguirre as Dario \"Diablo\" Zúñiga\nMichael J. Burg as Detective Mark Bellamy\nBill Hoag as Bill Chapman\nKarina Arroyave as Karla Córdova\nMelinna Bobadilla as Santos Chaj\nMarie-Lou Nahhas as Shani Abboud\nAlicia Witt as Zelda\nAlysia Joy Powell as Wyndolyn Capers\nEpisodes"]], "0_corpus": "wikipedia", "1_conv_id": "b5bb14042dc74ea69b6df545a6fe3660", "1_model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "1_prompt": "who plays red on orange is new black", "1_output": [["who plays red on orange is new black", "Orange Is the New Black\n\nThe seventh season provides an ending to various inmates' stories. Chapman and Vause continue their on/off again relationship. The season shows how some prisoners are able to move beyond their time in prison while others are captured by the system and through their own flaws and/or systemic problems in the structure of US society and its justice system are unable to progress. In addition to the established setting of Litchfield Max, a significant portion of the season takes place in a newly created ICE detention center for detained presumed undocumented immigrants, showing their struggles and lack of access to outside help in large part because of complete or extreme disregard of the law.\nIn each season, the series shows how various forms of corruption, funding cuts by the corporate owner to increase profits by millions, privatization of prison, overcrowding, guard brutality, and racial discrimination (among other issues) affect the prisoners' safety, health, and well-being. One of the show's key conflicts involves the minimum-security prison's Director of Human Activities ( the warden, under privatization nomenclature), Joe Caputo, whose efforts and aims as a warden constantly conflict with the corporate interests of MCC, which acquires Litchfield Penitentiary as it risks closure. This theme is continued when a new forward-thinking and caring warden is hired at Litchfield Maximum Security and unlike Caputo, actually institutes educational programs and positive changes. She is fired for these actions and her attitude toward the corporate corruption, although her short-lived changes have profound results.\nCast and characters\nMain cast\nTaylor Schilling as Piper Chapman\nLaura Prepon as Alex Vause, inmate\nMichael Harney as Sam Healy, correctional officer\nMichelle Hurst as Miss Claudette Pelage, inmate\nKate Mulgrew as Galina \"Red\" Reznikov, inmate"]], "1_corpus": "wikipedia"}
+{"tstamp": 1724552306.9766, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "350577cc90854e3aa02315ba595173a8", "0_model_name": "jinaai/jina-embeddings-v2-base-en", "0_prompt": "Which test was devised to determine whether robots can think?", "0_output": [["Which test was devised to determine whether robots can think?", "Cognitive test\n\nCognitive tests are assessments of the cognitive capabilities of humans and other animals. Tests administered to humans include various forms of IQ tests; those administered to animals include the mirror test (a test of visual self-awareness) and the T maze test (which tests learning ability). Such testing is used in psychology and psychometrics, as well as other fields studying human and animal intelligence."]], "0_corpus": "wikipedia", "1_conv_id": "e5db42c2f564416f886148f43eba6b01", "1_model_name": "embed-english-v3.0", "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"}

data/retrieval_individual-d18695b3-7a6c-4f0d-9361-0dc8845a980a.jsonl

@@ -163,3 +163,5 @@
 {"tstamp": 1724546499.5999, "task_type": "retrieval", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1724546497.4549, "finish": 1724546499.5999, "ip": "", "conv_id": "e35fffb7ddf14e8283d464bf547627ce", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "prompt": "Sid Meyer's Civilization VI", "output": [["Sid Meyer's Civilization VI", "Civilization VI\n\nSid Meier's Civilization VI is a turn-based strategy 4X video game developed by Firaxis Games and published by 2K. The mobile and Nintendo Switch port was published by Aspyr Media. The latest entry into the Civilization series, it was released on Windows and macOS in October 2016, with later ports for Linux in February 2017, iOS in December 2017, Nintendo Switch in November 2018, PlayStation 4 and Xbox One in November 2019, and Android in 2020.\nSimilar to previous installments, the goal for the player is to develop a civilization from an early settlement through many in-game millennia to become a world power and achieve one of several victory conditions, such as through military domination, technological superiority, or cultural influence, over the other human and computer-controlled opponents. Players do this by exploring the world, founding new cities, building city improvements, deploying military troops to attack and defend themselves from others, researching new technologies and civics advancements, developing an influential culture, and engaging in trade and negotiations with other world leaders."]], "corpus": "wikipedia"}
 {"tstamp": 1724549782.0971, "task_type": "retrieval", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1724549779.8827, "finish": 1724549782.0971, "ip": "", "conv_id": "6472af322ae44d9880cf035f30a293f9", "model_name": "GritLM/GritLM-7B", "prompt": "Find me a planet near α 23h 06m 29.368s and δ −05° 02′ 29.04″ that could be habitable.", "output": [["Find me a planet near α 23h 06m 29.368s and δ −05° 02′ 29.04″ that could be habitable.", "Kepler-62f\n\nKepler-62f (also known by its Kepler Object of Interest designation KOI-701.04) is a super-Earth exoplanet orbiting within the habitable zone of the star Kepler-62, the outermost of five such planets discovered around the star by NASA's Kepler spacecraft.  It is located about  from Earth in the constellation of Lyra."]], "corpus": "wikipedia"}
 {"tstamp": 1724549782.0971, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1724549779.8827, "finish": 1724549782.0971, "ip": "", "conv_id": "e444c41024564d549ca278b8702901e1", "model_name": "BAAI/bge-large-en-v1.5", "prompt": "Find me a planet near α 23h 06m 29.368s and δ −05° 02′ 29.04″ that could be habitable.", "output": [["Find me a planet near α 23h 06m 29.368s and δ −05° 02′ 29.04″ that could be habitable.", "Habitable zone\n\nK2-18b is an exoplanet 124 light-years away, orbiting in the habitable zone of the K2-18, a red dwarf. This planet is significant for water vapor found in its atmosphere; this was announced on September 17, 2019.\nIn September 2020, astronomers identified 24 superhabitable planet (planets better than Earth) contenders, from among more than 4000 confirmed exoplanets at present, based on astrophysical parameters, as well as the natural history of known life forms on the Earth.\nHabitability outside the HZ\nLiquid-water environments have been found to exist in the absence of atmospheric pressure and at temperatures outside the HZ temperature range. For example, Saturn's moons Titan and Enceladus and Jupiter's moons Europa and Ganymede, all of which are outside the habitable zone, may hold large volumes of liquid water in subsurface oceans.\nOutside the HZ, tidal heating and radioactive decay are two possible heat sources that could contribute to the existence of liquid water. Abbot and Switzer (2011) put forward the possibility that subsurface water could exist on rogue planets as a result of radioactive decay-based heating and insulation by a thick surface layer of ice.\nWith some theorising that life on Earth may have actually originated in stable, subsurface habitats, it has been suggested that it may be common for wet subsurface extraterrestrial habitats such as these to 'teem with life'. On Earth itself, living organisms may be found more than  below the surface."]], "corpus": "wikipedia"}
+{"tstamp": 1724552291.5153, "task_type": "retrieval", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1724552289.1912, "finish": 1724552291.5153, "ip": "", "conv_id": "350577cc90854e3aa02315ba595173a8", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": "Which test was devised to determine whether robots can think?", "output": [["Which test was devised to determine whether robots can think?", "Cognitive test\n\nCognitive tests are assessments of the cognitive capabilities of humans and other animals. Tests administered to humans include various forms of IQ tests; those administered to animals include the mirror test (a test of visual self-awareness) and the T maze test (which tests learning ability). Such testing is used in psychology and psychometrics, as well as other fields studying human and animal intelligence."]], "corpus": "wikipedia"}
+{"tstamp": 1724552291.5153, "task_type": "retrieval", "type": "chat", "model": "embed-english-v3.0", "gen_params": {}, "start": 1724552289.1912, "finish": 1724552291.5153, "ip": "", "conv_id": "e5db42c2f564416f886148f43eba6b01", "model_name": "embed-english-v3.0", "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"}

data/sts_individual-d18695b3-7a6c-4f0d-9361-0dc8845a980a.jsonl

@@ -14,3 +14,5 @@
 {"tstamp": 1724495854.7039, "task_type": "sts", "type": "chat", "model": "voyage-multilingual-2", "gen_params": {}, "start": 1724495854.3658, "finish": 1724495854.7039, "ip": "", "conv_id": "d57a479d541d476baef8d6f6017c5d73", "model_name": "voyage-multilingual-2", "txt0": "Lord Carnarvon said then: It was just after the banking crisis and it was gloom in all directions.", "txt1": "Lord Carnarvon said then: It was just after the banking crisis and we were worried.", "txt2": "Lord Carnarvon said, \"It was shortly after the banking crisis, and we were concerned.\"", "output": ""}
 {"tstamp": 1724517233.5061, "task_type": "sts", "type": "chat", "model": "voyage-multilingual-2", "gen_params": {}, "start": 1724517233.1654, "finish": 1724517233.5061, "ip": "", "conv_id": "38b9610948ae443da17caf557d909880", "model_name": "voyage-multilingual-2", "txt0": "I told him as a friend he could tell me why.", "txt1": "I said to him, But you know, I'm your friend, tell me why.", "txt2": "I told him as an enemy I would this it to my full advantage.", "output": ""}
 {"tstamp": 1724517233.5061, "task_type": "sts", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1724517233.1654, "finish": 1724517233.5061, "ip": "", "conv_id": "ab3222bdce5e43fe90cc041ecc1174d6", "model_name": "text-embedding-004", "txt0": "I told him as a friend he could tell me why.", "txt1": "I said to him, But you know, I'm your friend, tell me why.", "txt2": "I told him as an enemy I would this it to my full advantage.", "output": ""}
+{"tstamp": 1724552339.6408, "task_type": "sts", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1724552339.5969, "finish": 1724552339.6408, "ip": "", "conv_id": "783d763119c84f82941e17f3e1baf185", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "txt0": "hello", "txt1": "good morning", "txt2": "早上好", "output": ""}
+{"tstamp": 1724552339.6408, "task_type": "sts", "type": "chat", "model": "intfloat/e5-mistral-7b-instruct", "gen_params": {}, "start": 1724552339.5969, "finish": 1724552339.6408, "ip": "", "conv_id": "bbabf78c055b414fa459f2ed067a8767", "model_name": "intfloat/e5-mistral-7b-instruct", "txt0": "hello", "txt1": "good morning", "txt2": "早上好", "output": ""}