Scheduled Commit

data/retrieval_battle-c3c39103-a49b-43a8-a2e7-1945260f7f05.jsonl

@@ -7,3 +7,4 @@
 {"tstamp": 1725275455.9951, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "3024727d990b489dbee29ebefd3d1e30", "0_model_name": "embed-english-v3.0", "0_prompt": "What is an eating disorder?", "0_output": [["What is an eating disorder?", "Eating disorder\n\nAn eating disorder is a mental disorder defined by abnormal eating behaviors that adversely affect a person's physical or mental health. These behaviors include eating either too much or too little. Types of eating disorders include binge eating disorder, where the patient keeps eating large amounts in a short period of time typically while not being hungry; anorexia nervosa, where the person has an intense fear of gaining weight and restricts food or overexercises to manage this fear; bulimia nervosa, where individuals eat a large quantity (binging) then try to rid themselves of the food (purging); pica, where the patient eats non-food items; rumination syndrome, where the patient regurgitates undigested or minimally digested food; avoidant/restrictive food intake disorder (ARFID), where people have a reduced or selective food intake due to some psychological reasons; and a group of other specified feeding or eating disorders. Anxiety disorders, depression and substance abuse are common among people with eating disorders. These disorders do not include obesity. People often experience comorbidity between an eating disorder and OCD. It is estimated 20–60% of patients with an ED have a history of OCD.\nThe causes of eating disorders are not clear, although both biological and environmental factors appear to play a role. Cultural idealization of thinness is believed to contribute to some eating disorders. Individuals who have experienced sexual abuse are also more likely to develop eating disorders. Some disorders such as pica and rumination disorder occur more often in people with intellectual disabilities."]], "0_corpus": "wikipedia", "1_conv_id": "ca6748d4fa8e4165ae7328ca8253f34c", "1_model_name": "Salesforce/SFR-Embedding-2_R", "1_prompt": "What is an eating disorder?", "1_output": [["What is an eating disorder?", "Eating disorder\n\nAn eating disorder is a mental disorder defined by abnormal eating behaviors that adversely affect a person's physical or mental health. These behaviors include eating either too much or too little. Types of eating disorders include binge eating disorder, where the patient keeps eating large amounts in a short period of time typically while not being hungry; anorexia nervosa, where the person has an intense fear of gaining weight and restricts food or overexercises to manage this fear; bulimia nervosa, where individuals eat a large quantity (binging) then try to rid themselves of the food (purging); pica, where the patient eats non-food items; rumination syndrome, where the patient regurgitates undigested or minimally digested food; avoidant/restrictive food intake disorder (ARFID), where people have a reduced or selective food intake due to some psychological reasons; and a group of other specified feeding or eating disorders. Anxiety disorders, depression and substance abuse are common among people with eating disorders. These disorders do not include obesity. People often experience comorbidity between an eating disorder and OCD. It is estimated 20–60% of patients with an ED have a history of OCD.\nThe causes of eating disorders are not clear, although both biological and environmental factors appear to play a role. Cultural idealization of thinness is believed to contribute to some eating disorders. Individuals who have experienced sexual abuse are also more likely to develop eating disorders. Some disorders such as pica and rumination disorder occur more often in people with intellectual disabilities."]], "1_corpus": "wikipedia"}
 {"tstamp": 1725278721.5131, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "8835c680ed6c4f9cbd33acb145813fd5", "0_model_name": "Salesforce/SFR-Embedding-2_R", "0_prompt": "What's the purpose of `if __name__ == '__main__'`?", "0_output": [["What's the purpose of `if __name__ == '__main__'`?", "Stackoverflow Stackexchange\n\nQ: What does `if name == \"__main__\"` mean in Python? \nPossible Duplicate:\nWhat does <if name==“main”:> do? \n\nI have wrote scripts in Python for quite a while now and I study more of Python as I need it. When reading other people's code I meet if name == \"__main__\": construct quite often. \nWhat is it good for?\n\nA: Basically, \nThere's a distinction between the \"main\" script file and external files which were imported or referenced in another way. If the script is the \"main\" script then the special variable __name__ will equal \"__main__\".\nYou can use this to protect the \"execution\" code from the classes and variables the script has. This enables you to import a script and use classes and variables without actually running that script's main code if it has any.\nSee also: What does if name == “main”: do?\n"]], "0_corpus": "stackexchange", "1_conv_id": "ab9585855d274657b1f09d8ae2b347e2", "1_model_name": "mixedbread-ai/mxbai-embed-large-v1", "1_prompt": "What's the purpose of `if __name__ == '__main__'`?", "1_output": [["What's the purpose of `if __name__ == '__main__'`?", "Stackoverflow Stackexchange\n\nQ: Why does it do this ? if - __name__ == '__main__' \nDuplicate of:\nWhat does if __name__== \"__main__\" do? \n\nConsider this code:\nif __name__ == '__main__':\n    import pdb\n    pdb.run(\"interact()\\n\")\n\nWhat does the following line mean?\nif(__name__=='__main__')\n\nI fainted.\n\nA: That is a check to see if you are directly running the script or if it is included in a library.\nWhen you run a python script like this:\npython myScript.py\n\nIt sends a parameter, telling you to run the programs first method, which is widely called \"main\", so when __name__ is __main__ you know that the program was executed from a command line or double clicked.\n"]], "1_corpus": "stackexchange"}
 {"tstamp": 1725285019.3465, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "282cc8d9bde44f4fb7022867fd41dd9c", "0_model_name": "Salesforce/SFR-Embedding-2_R", "0_prompt": "What's the purpose of `if __name__ == '__main__'`?", "0_output": [["What's the purpose of `if __name__ == '__main__'`?", "Stackoverflow Stackexchange\n\nQ: What does `if name == \"__main__\"` mean in Python? \nPossible Duplicate:\nWhat does <if name==“main”:> do? \n\nI have wrote scripts in Python for quite a while now and I study more of Python as I need it. When reading other people's code I meet if name == \"__main__\": construct quite often. \nWhat is it good for?\n\nA: Basically, \nThere's a distinction between the \"main\" script file and external files which were imported or referenced in another way. If the script is the \"main\" script then the special variable __name__ will equal \"__main__\".\nYou can use this to protect the \"execution\" code from the classes and variables the script has. This enables you to import a script and use classes and variables without actually running that script's main code if it has any.\nSee also: What does if name == “main”: do?\n"]], "0_corpus": "stackexchange", "1_conv_id": "f7d6f0a88fd143be8a016753cd5e4027", "1_model_name": "voyage-multilingual-2", "1_prompt": "What's the purpose of `if __name__ == '__main__'`?", "1_output": [["What's the purpose of `if __name__ == '__main__'`?", "Stackoverflow Stackexchange\n\nQ: What does `if name == \"__main__\"` mean in Python? \nPossible Duplicate:\nWhat does <if name==“main”:> do? \n\nI have wrote scripts in Python for quite a while now and I study more of Python as I need it. When reading other people's code I meet if name == \"__main__\": construct quite often. \nWhat is it good for?\n\nA: Basically, \nThere's a distinction between the \"main\" script file and external files which were imported or referenced in another way. If the script is the \"main\" script then the special variable __name__ will equal \"__main__\".\nYou can use this to protect the \"execution\" code from the classes and variables the script has. This enables you to import a script and use classes and variables without actually running that script's main code if it has any.\nSee also: What does if name == “main”: do?\n"]], "1_corpus": "stackexchange"}
+{"tstamp": 1725288886.5843, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "c22c75d30c55435e8bd4ee50307f01db", "0_model_name": "jinaai/jina-embeddings-v2-base-en", "0_prompt": "red bull f1", "0_output": [["red bull f1", "Red Bull\n\nVariants Over the years, Red Bull has offered many variations of its drink, all based on the same formula but differing in taste and colour.\nRed Bull began offering variations on its drinks in 2003 with a sugar-free version of the drink with a different flavor from the original, called Red Bull Sugarfree. In 2012, Red Bull released Red Bull Total Zero, a variant with zero calories. In 2018, the company released Red Bull Zero, a different sugar-free formulation designed to taste more like the original flavor.\nIn 2009, Red Bull unveiled a highly concentrated variant of its drink called Red Bull Energy Shot, supplied in 2 oz (60 ml) cans.\nThe company began expanding its flavor offerings in 2013 with the launch of Red Bull Editions. Initially available in cranberry, lime, and blueberry, the Editions line has expanded to include a variety of flavours, including some available only during specific seasons or in certain regions:\nRed Bull Sugarfree (2003–present) – a sugar-free, low-calorie version\nRed Bull Zero (2012–present) – A sugar-free version with zero calories. Formerly known as Total Zero; reformulated in 2018.\nRed Bull Red Edition (Cranberry) (2013–2020) – a cranberry-flavored version\nRed Bull Red Edition (Watermelon) (2020–present) – a watermelon-flavored version\nRed Bull Blue Edition (2013–present) – a blueberry-flavored version\nRed Bull Silver Edition (2013–2015) – a dry lime-flavored version"]], "0_corpus": "wikipedia", "1_conv_id": "59e92790676e446ea5f50d4adcce5f78", "1_model_name": "embed-english-v3.0", "1_prompt": "red bull f1", "1_output": [["red bull f1", "Red Bull GmbH\n\nIn Formula One, Red Bull currently runs two teams: Red Bull Racing (previously known as Jaguar Racing; before Jaguar, it was known as Stewart Grand Prix) and RB (Racing Bulls). The latter was previously known as Scuderia Toro Rosso between 2006 and 2019 and as Scuderia AlphaTauri from 2020 to 2023, and preceding its purchase by Red Bull, it was known as the Minardi F1 Team. Both teams have scored Grand Prix victories, with Red Bull Racing winning the 2010, 2011, 2012, 2013, 2022 and 2023 Constructors' Championship. Two Red Bull Racing drivers have won the Drivers' Championship; Sebastian Vettel won the championship in 2010, 2011, 2012, and 2013, with Max Verstappen winning the 2021, 2022 and 2023 Formula One Drivers' Championships. Red Bull Racing used Renault engines between 2007 and 2018, before beginning a partnership with Honda that lasts until the end of 2025. In 2021, Red Bull founded its own power unit division, Red Bull Powertrains, which will begin producing its own power units for the Red Bull-owned teams in 2026 with backing from Ford. Red Bull Racing chief technical officer Adrian Newey has been credited with designing highly-successful cars that are capable of championship contention. The Red Bull Racing RB19, designed by Newey, is one of the most dominant cars in Formula One history, winning 21 out of 22 races in the 2023 season.\nAccording to Red Bull Team Principal Christian Horner in the Netflix original series Formula 1: Drive to Survive, Red Bull is in a unique position wherein they have four drivers (two at Red Bull Racing and two at Scuderia AlphaTauri). He also stated that the two AlphaTauri drivers are Red Bull contracted drivers."]], "1_corpus": "wikipedia"}

data/retrieval_individual-c3c39103-a49b-43a8-a2e7-1945260f7f05.jsonl

@@ -40,3 +40,9 @@
 {"tstamp": 1725280630.15, "task_type": "retrieval", "type": "chat", "model": "nomic-ai/nomic-embed-text-v1.5", "gen_params": {}, "start": 1725280629.6329, "finish": 1725280630.15, "ip": "", "conv_id": "93a4edef75764062ad108f563dd2075c", "model_name": "nomic-ai/nomic-embed-text-v1.5", "prompt": "anomalous token in text embedding model", "output": [["anomalous token in text embedding model", "Title: A Text is Worth Several Tokens: Text Embedding from LLMs Secretly Aligns Well with The Key Tokens\n\nAbstract: Text embeddings from large language models (LLMs) have achieved excellent results in tasks such as information retrieval, semantic textual similarity, etc. In this work, we show an interesting finding: when feeding a text into the embedding LLMs, the obtained text embedding will be able to be aligned with the key tokens in the input text. We first fully analyze this phenomenon on eight embedding LLMs and show that this phenomenon is universal and is not affected by model architecture, training strategy, and embedding method. With a deeper analysis, we then find that the main change in embedding space between the embedding LLMs and their original generative LLMs is in the first principal component. By adjusting the first principal component, we can align text embedding with the key tokens. Finally, we give several examples to demonstrate the vast application potential of this finding: (1) we propose a simple and practical sparse retrieval method based on the aligned tokens, which can achieve 80\\% of the dense retrieval effect of the same model while reducing the computation significantly; (2) we show that our findings provide a fresh perspective to help understand fuzzy concepts (e.g., semantic relatedness vs. semantic similarity) and emerging technologies (e.g., instruction-following embedding) in this field."]], "corpus": "arxiv"}
 {"tstamp": 1725285003.3324, "task_type": "retrieval", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1725285002.9026, "finish": 1725285003.3324, "ip": "", "conv_id": "282cc8d9bde44f4fb7022867fd41dd9c", "model_name": "Salesforce/SFR-Embedding-2_R", "prompt": "What's the purpose of `if __name__ == '__main__'`?", "output": [["What's the purpose of `if __name__ == '__main__'`?", "Stackoverflow Stackexchange\n\nQ: What does `if name == \"__main__\"` mean in Python? \nPossible Duplicate:\nWhat does <if name==“main”:> do? \n\nI have wrote scripts in Python for quite a while now and I study more of Python as I need it. When reading other people's code I meet if name == \"__main__\": construct quite often. \nWhat is it good for?\n\nA: Basically, \nThere's a distinction between the \"main\" script file and external files which were imported or referenced in another way. If the script is the \"main\" script then the special variable __name__ will equal \"__main__\".\nYou can use this to protect the \"execution\" code from the classes and variables the script has. This enables you to import a script and use classes and variables without actually running that script's main code if it has any.\nSee also: What does if name == “main”: do?\n"]], "corpus": "stackexchange"}
 {"tstamp": 1725285003.3324, "task_type": "retrieval", "type": "chat", "model": "voyage-multilingual-2", "gen_params": {}, "start": 1725285002.9026, "finish": 1725285003.3324, "ip": "", "conv_id": "f7d6f0a88fd143be8a016753cd5e4027", "model_name": "voyage-multilingual-2", "prompt": "What's the purpose of `if __name__ == '__main__'`?", "output": [["What's the purpose of `if __name__ == '__main__'`?", "Stackoverflow Stackexchange\n\nQ: What does `if name == \"__main__\"` mean in Python? \nPossible Duplicate:\nWhat does <if name==“main”:> do? \n\nI have wrote scripts in Python for quite a while now and I study more of Python as I need it. When reading other people's code I meet if name == \"__main__\": construct quite often. \nWhat is it good for?\n\nA: Basically, \nThere's a distinction between the \"main\" script file and external files which were imported or referenced in another way. If the script is the \"main\" script then the special variable __name__ will equal \"__main__\".\nYou can use this to protect the \"execution\" code from the classes and variables the script has. This enables you to import a script and use classes and variables without actually running that script's main code if it has any.\nSee also: What does if name == “main”: do?\n"]], "corpus": "stackexchange"}
+{"tstamp": 1725288784.0762, "task_type": "retrieval", "type": "chat", "model": "sentence-transformers/all-MiniLM-L6-v2", "gen_params": {}, "start": 1725288783.8077, "finish": 1725288784.0762, "ip": "", "conv_id": "e96dd6f2ce9b4b0ca4b708c8396e3ab1", "model_name": "sentence-transformers/all-MiniLM-L6-v2", "prompt": "replenishment point", "output": [["replenishment point", "Underway replenishment\n\nEarly attempts at refueling and restocking at sea had been made as early as 1870, when HMS Captain of the Channel Squadron was resupplied with coal at a rate of five tons per hour. The speed was too slow to be practicable, and calm weather was required to keep the neighbouring ships together.\nLieutenant Robert Lowry was the first to suggest the use of large-scale underway replenishment techniques in an 1883 paper to the Royal United Services Institute. He argued that a successful system would provide a minimum rate of 20 tons per hour while the ships maintain a speed of five knots. His proposal was for transfer to be effected through watertight coal carriers suspended from a cable between the two ships.\nAlthough his concept was rejected by the Admiralty, the advantages of such a system were made apparent to strategists on both sides of the Atlantic. Over 20 submissions were made to the Royal Navy between 1888 and 1890 alone.\nFirst trials\nThe main technical problem was ensuring a constant distance between the two ships throughout the process. According to a report from The Times, a French collier had been able to provision two warships with 200 tons of coal at a speed of six knots using a Temperley transporter in 1898."]], "corpus": "wikipedia"}
+{"tstamp": 1725288784.0762, "task_type": "retrieval", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1725288783.8077, "finish": 1725288784.0762, "ip": "", "conv_id": "5ad6e860fa04455fbcb33a645095ed14", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": "replenishment point", "output": [["replenishment point", "Accumulation point\n\nA point  that is  an -accumulation point of  cannot be an accumulation point of any of the associated sequences without infinite repeats (because  has a neighborhood that contains only finitely many (possibly even none) points of  and that neighborhood can only contain finitely many terms of such sequences).\nProperties\nEvery limit of a non-constant sequence is an accumulation point of the sequence.\nAnd by definition, every limit point is an adherent point.\nThe closure  of a set  is a disjoint union of its limit points  and isolated points ; that is,\nA point  is a limit point of  if and only if it is in the closure of\nIf we use  to denote the set of limit points of  then we have the following characterization of the closure of : The closure of  is equal to the union of  and  This fact is sometimes taken as the  of closure.\nA corollary of this result gives us a characterisation of closed sets: A set  is closed if and only if it contains all of its limit points.\nNo isolated point is a limit point of any set.\nA space  is discrete if and only if no subset of  has a limit point.\nIf a space  has the trivial topology and  is a subset of  with more than one element, then all elements of  are limit points of  If  is a singleton, then every point of  is a limit point of"]], "corpus": "wikipedia"}
+{"tstamp": 1725288840.1349, "task_type": "retrieval", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1725288839.8315, "finish": 1725288840.1349, "ip": "", "conv_id": "15001730752242599ecb38319cebcb0d", "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": 1725288840.1349, "task_type": "retrieval", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1725288839.8315, "finish": 1725288840.1349, "ip": "", "conv_id": "20a30144da984c2897073ab845169b2b", "model_name": "Salesforce/SFR-Embedding-2_R", "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 Turing test, originally called the imitation game by Alan Turing in 1950, is a test of a machine's ability to exhibit intelligent behaviour equivalent to, or indistinguishable from, that of a human. Turing proposed that a human evaluator would judge natural language conversations between a human and a machine designed to generate human-like responses. The evaluator would be aware that one of the two partners in conversation was a machine, and all participants would be separated from one another. The conversation would be limited to a text-only channel, such as a computer keyboard and screen, so the result would not depend on the machine's ability to render words as speech. If the evaluator could not reliably tell the machine from the human, the machine would be said to have passed the test. The test results would not depend on the machine's ability to give correct answers to questions, only on how closely its answers resembled those a human would give. Since the Turing test is a test of indistinguishability in performance capacity, the verbal version generalizes naturally to all of human performance capacity, verbal as well as nonverbal (robotic)."]], "corpus": "wikipedia"}
+{"tstamp": 1725288860.4489, "task_type": "retrieval", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1725288858.1218, "finish": 1725288860.4489, "ip": "", "conv_id": "c22c75d30c55435e8bd4ee50307f01db", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": "red bull f1", "output": [["red bull f1", "Red Bull\n\nVariants Over the years, Red Bull has offered many variations of its drink, all based on the same formula but differing in taste and colour.\nRed Bull began offering variations on its drinks in 2003 with a sugar-free version of the drink with a different flavor from the original, called Red Bull Sugarfree. In 2012, Red Bull released Red Bull Total Zero, a variant with zero calories. In 2018, the company released Red Bull Zero, a different sugar-free formulation designed to taste more like the original flavor.\nIn 2009, Red Bull unveiled a highly concentrated variant of its drink called Red Bull Energy Shot, supplied in 2 oz (60 ml) cans.\nThe company began expanding its flavor offerings in 2013 with the launch of Red Bull Editions. Initially available in cranberry, lime, and blueberry, the Editions line has expanded to include a variety of flavours, including some available only during specific seasons or in certain regions:\nRed Bull Sugarfree (2003–present) – a sugar-free, low-calorie version\nRed Bull Zero (2012–present) – A sugar-free version with zero calories. Formerly known as Total Zero; reformulated in 2018.\nRed Bull Red Edition (Cranberry) (2013–2020) – a cranberry-flavored version\nRed Bull Red Edition (Watermelon) (2020–present) – a watermelon-flavored version\nRed Bull Blue Edition (2013–present) – a blueberry-flavored version\nRed Bull Silver Edition (2013–2015) – a dry lime-flavored version"]], "corpus": "wikipedia"}
+{"tstamp": 1725288860.4489, "task_type": "retrieval", "type": "chat", "model": "embed-english-v3.0", "gen_params": {}, "start": 1725288858.1218, "finish": 1725288860.4489, "ip": "", "conv_id": "59e92790676e446ea5f50d4adcce5f78", "model_name": "embed-english-v3.0", "prompt": "red bull f1", "output": [["red bull f1", "Red Bull GmbH\n\nIn Formula One, Red Bull currently runs two teams: Red Bull Racing (previously known as Jaguar Racing; before Jaguar, it was known as Stewart Grand Prix) and RB (Racing Bulls). The latter was previously known as Scuderia Toro Rosso between 2006 and 2019 and as Scuderia AlphaTauri from 2020 to 2023, and preceding its purchase by Red Bull, it was known as the Minardi F1 Team. Both teams have scored Grand Prix victories, with Red Bull Racing winning the 2010, 2011, 2012, 2013, 2022 and 2023 Constructors' Championship. Two Red Bull Racing drivers have won the Drivers' Championship; Sebastian Vettel won the championship in 2010, 2011, 2012, and 2013, with Max Verstappen winning the 2021, 2022 and 2023 Formula One Drivers' Championships. Red Bull Racing used Renault engines between 2007 and 2018, before beginning a partnership with Honda that lasts until the end of 2025. In 2021, Red Bull founded its own power unit division, Red Bull Powertrains, which will begin producing its own power units for the Red Bull-owned teams in 2026 with backing from Ford. Red Bull Racing chief technical officer Adrian Newey has been credited with designing highly-successful cars that are capable of championship contention. The Red Bull Racing RB19, designed by Newey, is one of the most dominant cars in Formula One history, winning 21 out of 22 races in the 2023 season.\nAccording to Red Bull Team Principal Christian Horner in the Netflix original series Formula 1: Drive to Survive, Red Bull is in a unique position wherein they have four drivers (two at Red Bull Racing and two at Scuderia AlphaTauri). He also stated that the two AlphaTauri drivers are Red Bull contracted drivers."]], "corpus": "wikipedia"}