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data/retrieval_battle-274939d5-8d43-4477-a257-81d9d88422a5.jsonl

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+{"tstamp": 1750821301.6147, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "37e8d6d387aa4efc98008c7ca2cfa53f", "0_model_name": "sentence-transformers/all-MiniLM-L6-v2", "0_prompt": "Which test was devised to determine whether robots can think?", "0_output": [["Which test was devised to determine whether robots can think?", "History of robots\n\nA similar tale can be found in the near contemporary Indian Buddhist Jataka tales, but here the intricacy of the automation does not match that of Master Yan.Prior to the introduction of Buddhism in the Common Era, Chinese philosophers did not seriously consider the distinction between appearance and reality. The Liezi rebuts Buddhist philosophies and likens human creative powers to that of the Creator. The Indian Lokapannatti, a collection of cycles and lores produced in the 11th or 12th century AD, tells the story of how an army of automated soldiers (bhuta vahana yanta or \"Spirit movement machines\") were crafted to protect the relics of Buddha in a secret stupa. The plans for making such humanoid automatons were stolen from the kingdom of Rome, a generic term for the Greco-Roman-Byzantine culture. According to the Lokapannatti, the Yavanas (\"Greek-speakers\") used the automatons to carry out trade and farming, but also captured and executed criminals. Roman automation makers who left the kingdom were pursued and killed by the automatons. According to the Lokapannatti, the emperor Asoka hears the story of the secret stupa and sets out to find it. "]], "0_corpus": "wikipedia", "1_conv_id": "ccd1dfb31ac04722abb3718156234730", "1_model_name": "BM25", "1_prompt": "Which test was devised to determine whether robots can think?", "1_output": [["Which test was devised to determine whether robots can think?", "Artificial intelligence\n\nIn the late teens and early 2020s, AGI companies began to deliver programs that created enormous interest. In 2015, AlphaGo, developed by DeepMind, beat the world champion Go player. The program was taught only the rules of the game and developed strategy by itself. GPT-3 is a large language model that was released in 2020 by OpenAI and is capable of generating high-quality human-like text. These programs, and others, inspired an aggressive AI boom, where large companies began investing billions in AI research. According to AI Impacts, about $50 billion annually was invested in \"AI\" around 2022 in the U.S. alone and about 20% of the new U.S. Computer Science PhD graduates have specialized in \"AI\".\nAbout 800,000 \"AI\"-related U.S. job openings existed in 2022.\nPhilosophy\nDefining artificial intelligence\nAlan Turing wrote in 1950 \"I propose to consider the question 'can machines think'?\" He advised changing the question from whether a machine \"thinks\", to \"whether or not it is possible for machinery to show intelligent behaviour\". He devised the Turing test, which measures the ability of a machine to simulate human conversation. Since we can only observe the behavior of the machine, it does not matter if it is \"actually\" thinking or literally has a \"mind\". Turing notes that we can not determine these things about other people but \"it is usual to have a polite convention that everyone thinks.\""]], "1_corpus": "wikipedia"}

data/retrieval_individual-274939d5-8d43-4477-a257-81d9d88422a5.jsonl

@@ -4,3 +4,5 @@
 {"tstamp": 1750782274.7774, "task_type": "retrieval", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1750782273.1183, "finish": 1750782274.7774, "ip": "", "conv_id": "7e294333bd124755acd41ec3f52ae1d4", "model_name": "text-embedding-004", "prompt": "who sings gimme some lovin in days of thunder", "output": [["who sings gimme some lovin in days of thunder", "Days of Thunder (soundtrack)\n\nThe song \"Gimme Some Lovin'\" is credited to Terry Reid, but the version in the movie is actually from The Spencer Davis Group.  \"Gimme Some Lovin'\" also featured on Reid's 1991 solo album, The Driver, along with an alternate version of \"The Last Note of Freedom\" with different lyrics, titled \"The Driver (Part 2)\".\nTrack listing\nCharts\nCertifications\nDays of Thunder (score)\nThe film score to Days of Thunder was composed by Hans Zimmer and featured Jeff Beck on guitar. While bootlegs were available for years, an official album containing the score was not released until 2013, when La-La Land Records released the film's score, with bonus tracks, for the first time.\nWhile looking back at the film's production, Zimmer said, “It was complete insanity, but again because it was [director Tony Scott] he’d just keep it recklessly fun.” Zimmer elaborated on this by explaining how the film's production was behind schedule and what originally was a day trip to meet with producers in Daytona turned into a three-month composing gig done inside a studio built within a warehouse.\nTrack listing\n\"Days of Thunder (Main Title)\" (3:08)\n\"Rowdy Drives/Who Is This Driver?\" (02:06)\n\"Let Me Drive/Cole Drives Rowdy's Car\" (02:26)\n\"Car Building\" (02:05)\n\"Darlington - Cole Wins\" (04:47)\n\"You're Home/Daytona Race/The Crash\" (03:29)\n\"The Hospital\" (02:20)\n\"Wheelchair Race\" (00:37)\n\"Rental Car Race\" (03:50)\n\"Claire Arrives at her Apartment\" (01:55)"]], "corpus": "wikipedia"}
 {"tstamp": 1750791375.666, "task_type": "retrieval", "type": "chat", "model": "intfloat/multilingual-e5-large-instruct", "gen_params": {}, "start": 1750791375.4292, "finish": 1750791375.666, "ip": "", "conv_id": "c70918688c68460c9e521fb6836b5bca", "model_name": "intfloat/multilingual-e5-large-instruct", "prompt": "Sickle Cell diseas", "output": [["Sickle Cell diseas", "Title: Automated screening of sickle cells using a smartphone-based microscope and deep learning\n\nAbstract: Sickle cell disease (SCD) is a major public health priority throughout much of the world, affecting millions of people. In many regions, particularly those in resource-limited settings, SCD is not consistently diagnosed. In Africa, where the majority of SCD patients reside, more than 50% of the 0.2-0.3 million children born with SCD each year will die from it; many of these deaths are in fact preventable with correct diagnosis and treatment. Here we present a deep learning framework which can perform automatic screening of sickle cells in blood smears using a smartphone microscope. This framework uses two distinct, complementary deep neural networks. The first neural network enhances and standardizes the blood smear images captured by the smartphone microscope, spatially and spectrally matching the image quality of a laboratory-grade benchtop microscope. The second network acts on the output of the first image enhancement neural network and is used to perform the semantic segmentation between healthy and sickle cells within a blood smear. These segmented images are then used to rapidly determine the SCD diagnosis per patient. We blindly tested this mobile sickle cell detection method using blood smears from 96 unique patients (including 32 SCD patients) that were imaged by our smartphone microscope, and achieved ~98% accuracy, with an area-under-the-curve (AUC) of 0.998. With its high accuracy, this mobile and cost-effective method has the potential to be used as a screening tool for SCD and other blood cell disorders in resource-limited settings."]], "corpus": "arxiv"}
 {"tstamp": 1750791375.666, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1750791375.4292, "finish": 1750791375.666, "ip": "", "conv_id": "4d5ae819066c47f7ba6a4f05058e2433", "model_name": "BAAI/bge-large-en-v1.5", "prompt": "Sickle Cell diseas", "output": [["Sickle Cell diseas", "Title: Flow-induced segregation and dynamics of red blood cells in sickle cell disease\n\nAbstract: Blood flow in sickle cell disease (SCD) can substantially differ from normal blood flow due to significant alterations in the physical properties of the red blood cells (RBCs). Chronic complications, such as inflammation of the endothelial cells lining blood vessel walls, are associated with SCD, for reasons that are unclear. Here, detailed boundary integral simulations are performed to investigate an idealized model flow flow in SCD, a binary suspension of flexible biconcave discoidal fluid-filled capsules and stiff curved prolate capsules that represent healthy and sickle RBCs, respectively, subjected to pressure-driven flow in a planar slit. The key observation is that, unlike healthy RBCs that concentrate around the center of the channel and form an RBC-depleted layer (i.e. cell-free layer) next to the walls, sickle cells are largely drained from the bulk of the suspension and aggregate inside the cell-free layer, displaying strong margination. These cells are found to undergo a rigid-body-like rolling orbit near the walls. Furthermore, the additional shear stress on the walls induced by the presence of marginated cells is computed. Compared to the small fluctuations in wall shear stress for a suspension of healthy RBCs, large local peaks in wall shear stress are observed for the binary suspensions, due to the proximity of the marginated stiff cells to the walls. As endothelial cells are known to mechanotransduce physical forces such as aberrations in shear stress and convert them to physiological processes such as activation of inflammatory signals, these results may aid in understanding mechanisms for endothelial dysfunction associated with SCD."]], "corpus": "arxiv"}
+{"tstamp": 1750821221.9309, "task_type": "retrieval", "type": "chat", "model": "sentence-transformers/all-MiniLM-L6-v2", "gen_params": {}, "start": 1750821215.3147, "finish": 1750821221.9309, "ip": "", "conv_id": "37e8d6d387aa4efc98008c7ca2cfa53f", "model_name": "sentence-transformers/all-MiniLM-L6-v2", "prompt": "Which test was devised to determine whether robots can think?", "output": [["Which test was devised to determine whether robots can think?", "History of robots\n\nA similar tale can be found in the near contemporary Indian Buddhist Jataka tales, but here the intricacy of the automation does not match that of Master Yan.Prior to the introduction of Buddhism in the Common Era, Chinese philosophers did not seriously consider the distinction between appearance and reality. The Liezi rebuts Buddhist philosophies and likens human creative powers to that of the Creator. The Indian Lokapannatti, a collection of cycles and lores produced in the 11th or 12th century AD, tells the story of how an army of automated soldiers (bhuta vahana yanta or \"Spirit movement machines\") were crafted to protect the relics of Buddha in a secret stupa. The plans for making such humanoid automatons were stolen from the kingdom of Rome, a generic term for the Greco-Roman-Byzantine culture. According to the Lokapannatti, the Yavanas (\"Greek-speakers\") used the automatons to carry out trade and farming, but also captured and executed criminals. Roman automation makers who left the kingdom were pursued and killed by the automatons. According to the Lokapannatti, the emperor Asoka hears the story of the secret stupa and sets out to find it. "]], "corpus": "wikipedia"}
+{"tstamp": 1750821221.9309, "task_type": "retrieval", "type": "chat", "model": "BM25", "gen_params": {}, "start": 1750821215.3147, "finish": 1750821221.9309, "ip": "", "conv_id": "ccd1dfb31ac04722abb3718156234730", "model_name": "BM25", "prompt": "Which test was devised to determine whether robots can think?", "output": [["Which test was devised to determine whether robots can think?", "Artificial intelligence\n\nIn the late teens and early 2020s, AGI companies began to deliver programs that created enormous interest. In 2015, AlphaGo, developed by DeepMind, beat the world champion Go player. The program was taught only the rules of the game and developed strategy by itself. GPT-3 is a large language model that was released in 2020 by OpenAI and is capable of generating high-quality human-like text. These programs, and others, inspired an aggressive AI boom, where large companies began investing billions in AI research. According to AI Impacts, about $50 billion annually was invested in \"AI\" around 2022 in the U.S. alone and about 20% of the new U.S. Computer Science PhD graduates have specialized in \"AI\".\nAbout 800,000 \"AI\"-related U.S. job openings existed in 2022.\nPhilosophy\nDefining artificial intelligence\nAlan Turing wrote in 1950 \"I propose to consider the question 'can machines think'?\" He advised changing the question from whether a machine \"thinks\", to \"whether or not it is possible for machinery to show intelligent behaviour\". He devised the Turing test, which measures the ability of a machine to simulate human conversation. Since we can only observe the behavior of the machine, it does not matter if it is \"actually\" thinking or literally has a \"mind\". Turing notes that we can not determine these things about other people but \"it is usual to have a polite convention that everyone thinks.\""]], "corpus": "wikipedia"}