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data/retrieval_battle-030c828b-1146-493e-9ec8-e818276b89db.jsonl

@@ -38,3 +38,4 @@
 {"tstamp": 1725494036.895, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "3e3ef5426cf24690944d03ecdb66dd11", "0_model_name": "voyage-multilingual-2", "0_prompt": "Explain multi-head self-attention to a high-schooler", "0_output": [["Explain multi-head self-attention to a high-schooler", "Transformer (deep learning architecture)\n\nConcretely, let the multiple attention heads be indexed by , then we have where the matrix  is the concatenation of word embeddings, and the matrices  are \"projection matrices\" owned by individual attention head , and  is a final projection matrix owned by the whole multi-headed attention head.\nMasked attention\nIt may be necessary to cut out attention links between some word-pairs. For example, the decoder, when decoding for the token position , should not have access to the token at position . This may be accomplished before the softmax stage by adding a mask matrix  that is  at entries where the attention link must be cut, and  at other places:For example, the following mask matrix is used in autoregressive modeling:In words, it means that each token can pay attention to itself, and every token before it, but not any after it.\nEncoder\nEach encoder consists of two major components: a self-attention mechanism and a feed-forward neural network. The self-attention mechanism accepts input encodings from the previous encoder and weights their relevance to each other to generate output encodings. The feed-forward neural network further processes each output encoding individually. These output encodings are then passed to the next encoder as its input, as well as to the decoders."]], "0_corpus": "wikipedia", "1_conv_id": "46bdcf6d136f4efa90d7cb8417c5a3de", "1_model_name": "BAAI/bge-large-en-v1.5", "1_prompt": "Explain multi-head self-attention to a high-schooler", "1_output": [["Explain multi-head self-attention to a high-schooler", "Attention\n\nAttention in social contexts Social attention is one special form of attention that involves the allocation of limited processing resources in a social context. Previous studies on social attention often regard how attention is directed toward socially relevant stimuli such as faces and gaze directions of other individuals. In contrast to attending-to-others, a different line of researches has shown that self-related information such as own face and name automatically captures attention and is preferentially processed comparing to other-related information. These contrasting effects between attending-to-others and attending-to-self prompt a synthetic view in a recent Opinion article proposing that social attention operates at two polarizing states: In one extreme, individual tends to attend to the self and prioritize self-related information over others', and, in the other extreme, attention is allocated to other individuals to infer their intentions and desires. Attending-to-self and attending-to-others mark the two ends of an otherwise continuum spectrum of social attention. For a given behavioral context, the mechanisms underlying these two polarities might interact and compete with each other in order to determine a saliency map of social attention that guides our behaviors. An imbalanced competition between these two behavioral and cognitive processes will cause cognitive disorders and neurological symptoms such as autism spectrum disorders and Williams syndrome."]], "1_corpus": "wikipedia"}
 {"tstamp": 1725497676.1201, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "7a44b5d276184c338f638fb725e1ff20", "0_model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "0_prompt": "Effect of multiple phrase suggestions from a neural language model on email writing behavior of different English proficiency levels", "0_output": [["Effect of multiple phrase suggestions from a neural language model on email writing behavior of different English proficiency levels", "Title: The Impact of Multiple Parallel Phrase Suggestions on Email Input and Composition Behaviour of Native and Non-Native English Writers\n\nAbstract: We present an in-depth analysis of the impact of multi-word suggestion choices from a neural language model on user behaviour regarding input and text composition in email writing. Our study for the first time compares different numbers of parallel suggestions, and use by native and non-native English writers, to explore a trade-off of \"efficiency vs ideation\", emerging from recent literature. We built a text editor prototype with a neural language model (GPT-2), refined in a prestudy with 30 people. In an online study (N=156), people composed emails in four conditions (0/1/3/6 parallel suggestions). Our results reveal (1) benefits for ideation, and costs for efficiency, when suggesting multiple phrases; (2) that non-native speakers benefit more from more suggestions; and (3) further insights into behaviour patterns. We discuss implications for research, the design of interactive suggestion systems, and the vision of supporting writers with AI instead of replacing them."]], "0_corpus": "arxiv", "1_conv_id": "ad4b26feed0d402c8375963749535cd4", "1_model_name": "sentence-transformers/all-MiniLM-L6-v2", "1_prompt": "Effect of multiple phrase suggestions from a neural language model on email writing behavior of different English proficiency levels", "1_output": [["Effect of multiple phrase suggestions from a neural language model on email writing behavior of different English proficiency levels", "Title: Hysteretic nonequilibrium Ising-Bloch transition\n\nAbstract: We show that a parametrically driven cubic-quintic complex Ginzburg-Landau equation exhibits a hysteretic nonequilibrium Ising-Bloch transition for large enough quintic nonlinearity. These results help to understand the recent experimental observation of this pheomenon [A. Esteban-Martin et al., Phys. Rev. Lett. 94, 223903 (2005)]."]], "1_corpus": "arxiv"}
 {"tstamp": 1725503645.7587, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "dce351110b764777b9777ca83f2a6e2e", "0_model_name": "voyage-multilingual-2", "0_prompt": "Microsoft and Apple", "0_output": [["Microsoft and Apple", "FourCC\n\nThis IFF was adopted by a number of developers including Apple for AIFF files and Microsoft for RIFF files (which were used as the basis for the AVI and WAV file formats). Apple referred to many of these codes as OSTypes. Microsoft and Windows developers refer to their four-byte identifiers as FourCCs or Four-Character Codes. FourCC codes were also adopted by Microsoft to identify data formats used in DirectX, specifically within DirectShow and DirectX Graphics.\nIn Apple systems\nSince Mac OS X Panther, OSType signatures are one of several sources that may be examined to determine a Uniform Type Identifier and are no longer used as the primary data type signature. Mac OS X (macOS) prefers the more colloquial convention of labelling file types using file name extensions. At the time of the change, the change was a source of great contention among older users, who believed that Apple was reverting to a more primitive way that misplaces metadata in the filename.\nFilesystem-associated type codes are not readily accessible for users to manipulate, although they can be viewed and changed with certain software, most notably the macOS command line tools GetFileInfo and SetFile which are installed as part of the developer tools into /Developer/Tools, or the ResEdit utility available for older Macs."]], "0_corpus": "wikipedia", "1_conv_id": "67154b141bad43168024a8ad63542c8d", "1_model_name": "text-embedding-3-large", "1_prompt": "Microsoft and Apple", "1_output": [["Microsoft and Apple", "History of Apple Inc.\n\nOn February 10, 2011, the iPhone 4 was made available on both Verizon Wireless and AT&T. Now two iPod types are multi-touch: the iPod nano and the iPod touch, a big advance in technology. Apple TV currently has a 2nd-generation model, which is 4 times smaller than the original Apple TV. Apple has also gone wireless, selling a wireless trackpad, keyboard, mouse, and external hard drive. Wired accessories are still available.\nThe Apple iPad was announced on January 27, 2010, with retail availability commencing in April and systematically growing in markets throughout 2010. The iPad fits into Apple's iOS product line, being twice the screen size of an iPhone without the phone abilities. While there were initial fears of product cannibalization the FY2010 financial results released in Jan 2011 included commentary of a reverse 'halo' effect, where iPad sales were leading to increased sales of iMacs and MacBooks.\nResurgence compared to Microsoft\nSince 2005, Apple's revenues, profits, and stock price have grown significantly. On May 26, 2010, Apple's stock market value overtook Microsoft's, and Apple's revenues surpassed those of Microsoft in the third quarter of 2010. After giving their results for the first quarter of 2011, Microsoft's net profits of $5.2 billion were lower for the quarter than those of Apple, which earned $6 billion in net profit for the quarter. The late April announcement of profits by the companies marked the first time in 20 years that Microsoft's profits had been lower than Apple's, a situation described by Ars Technica as \"unimaginable a decade ago\"."]], "1_corpus": "wikipedia"}
+{"tstamp": 1725511723.587, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "a15d0be6aa1c42b497fe4577546ec34d", "0_model_name": "sentence-transformers/all-MiniLM-L6-v2", "0_prompt": "What papers investigate methods for reducing manual effort in conceptual data modeling?", "0_output": [["What papers investigate methods for reducing manual effort in conceptual data modeling?", "Title: Superfluid transition in disordered dipolar Fermi gases\n\nAbstract: We consider a weakly interacting two-component Fermi gas of dipolar particles (magnetic atoms or polar molecules) in the two-dimensional geometry. The dipole-dipole interaction (together with the short-range interaction at Feshbach resonances) for dipoles perpendicular to the plane of translational motion may provide a superfluid transition. The dipole-dipole scattering amplitude is momentum dependent, which violates the Anderson theorem claiming the independence of the transition temperature on the presence of weak disorder. We have shown that the disorder can strongly increase the critical temperature (up to 10 nK at realistic densities). This opens wide possibilities for the studies of the superfluid regime in weakly interacting Fermi gases, which was not observed so far."]], "0_corpus": "arxiv", "1_conv_id": "0eddd17fc22548d5aa1422d55ab3946f", "1_model_name": "voyage-multilingual-2", "1_prompt": "What papers investigate methods for reducing manual effort in conceptual data modeling?", "1_output": [["What papers investigate methods for reducing manual effort in conceptual data modeling?", "Title: Engineering Conceptual Data Models from Domain Ontologies: A Critical Evaluation\n\nAbstract: This paper studies the differences and similarities between domain ontologies and conceptual data models and the role that ontologies can play in establishing conceptual data models during the process of information systems development. A mapping algorithm has been proposed and embedded in a special purpose Transformation Engine to generate a conceptual data model from a given domain ontology. Both quantitative and qualitative methods have been adopted to critically evaluate this new approach. In addition, this paper focuses on evaluating the quality of the generated conceptual data model elements using Bunge-Wand-Weber and OntoClean ontologies. The results of this evaluation indicate that the generated conceptual data model provides a high degree of accuracy in identifying the substantial domain entities along with their attributes and relationships being derived from the consensual semantics of domain knowledge. The results are encouraging and support the potential role that this approach can take part in process of information system development."]], "1_corpus": "arxiv"}

data/retrieval_individual-030c828b-1146-493e-9ec8-e818276b89db.jsonl

@@ -128,3 +128,7 @@
 {"tstamp": 1725497485.1772, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1725497484.9649, "finish": 1725497485.1772, "ip": "", "conv_id": "a8ab36108906499ca5e4f1e085a55325", "model_name": "BAAI/bge-large-en-v1.5", "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": 1725503629.7267, "task_type": "retrieval", "type": "chat", "model": "voyage-multilingual-2", "gen_params": {}, "start": 1725503627.2254, "finish": 1725503629.7267, "ip": "", "conv_id": "dce351110b764777b9777ca83f2a6e2e", "model_name": "voyage-multilingual-2", "prompt": "Microsoft and Apple", "output": [["Microsoft and Apple", "FourCC\n\nThis IFF was adopted by a number of developers including Apple for AIFF files and Microsoft for RIFF files (which were used as the basis for the AVI and WAV file formats). Apple referred to many of these codes as OSTypes. Microsoft and Windows developers refer to their four-byte identifiers as FourCCs or Four-Character Codes. FourCC codes were also adopted by Microsoft to identify data formats used in DirectX, specifically within DirectShow and DirectX Graphics.\nIn Apple systems\nSince Mac OS X Panther, OSType signatures are one of several sources that may be examined to determine a Uniform Type Identifier and are no longer used as the primary data type signature. Mac OS X (macOS) prefers the more colloquial convention of labelling file types using file name extensions. At the time of the change, the change was a source of great contention among older users, who believed that Apple was reverting to a more primitive way that misplaces metadata in the filename.\nFilesystem-associated type codes are not readily accessible for users to manipulate, although they can be viewed and changed with certain software, most notably the macOS command line tools GetFileInfo and SetFile which are installed as part of the developer tools into /Developer/Tools, or the ResEdit utility available for older Macs."]], "corpus": "wikipedia"}
 {"tstamp": 1725503629.7267, "task_type": "retrieval", "type": "chat", "model": "text-embedding-3-large", "gen_params": {}, "start": 1725503627.2254, "finish": 1725503629.7267, "ip": "", "conv_id": "67154b141bad43168024a8ad63542c8d", "model_name": "text-embedding-3-large", "prompt": "Microsoft and Apple", "output": [["Microsoft and Apple", "History of Apple Inc.\n\nOn February 10, 2011, the iPhone 4 was made available on both Verizon Wireless and AT&T. Now two iPod types are multi-touch: the iPod nano and the iPod touch, a big advance in technology. Apple TV currently has a 2nd-generation model, which is 4 times smaller than the original Apple TV. Apple has also gone wireless, selling a wireless trackpad, keyboard, mouse, and external hard drive. Wired accessories are still available.\nThe Apple iPad was announced on January 27, 2010, with retail availability commencing in April and systematically growing in markets throughout 2010. The iPad fits into Apple's iOS product line, being twice the screen size of an iPhone without the phone abilities. While there were initial fears of product cannibalization the FY2010 financial results released in Jan 2011 included commentary of a reverse 'halo' effect, where iPad sales were leading to increased sales of iMacs and MacBooks.\nResurgence compared to Microsoft\nSince 2005, Apple's revenues, profits, and stock price have grown significantly. On May 26, 2010, Apple's stock market value overtook Microsoft's, and Apple's revenues surpassed those of Microsoft in the third quarter of 2010. After giving their results for the first quarter of 2011, Microsoft's net profits of $5.2 billion were lower for the quarter than those of Apple, which earned $6 billion in net profit for the quarter. The late April announcement of profits by the companies marked the first time in 20 years that Microsoft's profits had been lower than Apple's, a situation described by Ars Technica as \"unimaginable a decade ago\"."]], "corpus": "wikipedia"}
+{"tstamp": 1725511615.5938, "task_type": "retrieval", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1725511613.375, "finish": 1725511615.5938, "ip": "", "conv_id": "063eed3ad55141b2b348690ff195d9fa", "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": 1725511615.5938, "task_type": "retrieval", "type": "chat", "model": "intfloat/multilingual-e5-large-instruct", "gen_params": {}, "start": 1725511613.375, "finish": 1725511615.5938, "ip": "", "conv_id": "b9fd7cebdfe04207a4625af5489c33b6", "model_name": "intfloat/multilingual-e5-large-instruct", "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"}
+{"tstamp": 1725511702.2519, "task_type": "retrieval", "type": "chat", "model": "sentence-transformers/all-MiniLM-L6-v2", "gen_params": {}, "start": 1725511700.1432, "finish": 1725511702.2519, "ip": "", "conv_id": "a15d0be6aa1c42b497fe4577546ec34d", "model_name": "sentence-transformers/all-MiniLM-L6-v2", "prompt": "What papers investigate methods for reducing manual effort in conceptual data modeling?", "output": [["What papers investigate methods for reducing manual effort in conceptual data modeling?", "Title: Superfluid transition in disordered dipolar Fermi gases\n\nAbstract: We consider a weakly interacting two-component Fermi gas of dipolar particles (magnetic atoms or polar molecules) in the two-dimensional geometry. The dipole-dipole interaction (together with the short-range interaction at Feshbach resonances) for dipoles perpendicular to the plane of translational motion may provide a superfluid transition. The dipole-dipole scattering amplitude is momentum dependent, which violates the Anderson theorem claiming the independence of the transition temperature on the presence of weak disorder. We have shown that the disorder can strongly increase the critical temperature (up to 10 nK at realistic densities). This opens wide possibilities for the studies of the superfluid regime in weakly interacting Fermi gases, which was not observed so far."]], "corpus": "arxiv"}
+{"tstamp": 1725511702.2519, "task_type": "retrieval", "type": "chat", "model": "voyage-multilingual-2", "gen_params": {}, "start": 1725511700.1432, "finish": 1725511702.2519, "ip": "", "conv_id": "0eddd17fc22548d5aa1422d55ab3946f", "model_name": "voyage-multilingual-2", "prompt": "What papers investigate methods for reducing manual effort in conceptual data modeling?", "output": [["What papers investigate methods for reducing manual effort in conceptual data modeling?", "Title: Engineering Conceptual Data Models from Domain Ontologies: A Critical Evaluation\n\nAbstract: This paper studies the differences and similarities between domain ontologies and conceptual data models and the role that ontologies can play in establishing conceptual data models during the process of information systems development. A mapping algorithm has been proposed and embedded in a special purpose Transformation Engine to generate a conceptual data model from a given domain ontology. Both quantitative and qualitative methods have been adopted to critically evaluate this new approach. In addition, this paper focuses on evaluating the quality of the generated conceptual data model elements using Bunge-Wand-Weber and OntoClean ontologies. The results of this evaluation indicate that the generated conceptual data model provides a high degree of accuracy in identifying the substantial domain entities along with their attributes and relationships being derived from the consensual semantics of domain knowledge. The results are encouraging and support the potential role that this approach can take part in process of information system development."]], "corpus": "arxiv"}