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data/retrieval_battle-3c73e733-b3f5-49ee-809f-5dd8857c42b8.jsonl

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 {"tstamp": 1728707948.0958, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "9ab60860c64541d78c06b4ff0cfbf033", "0_model_name": "GritLM/GritLM-7B", "0_prompt": "Evaluating originality of AI-generated content with plagiarism tools", "0_output": [["Evaluating originality of AI-generated content with plagiarism tools", "Title: Will ChatGPT get you caught? Rethinking of Plagiarism Detection\n\nAbstract: The rise of Artificial Intelligence (AI) technology and its impact on education has been a topic of growing concern in recent years. The new generation AI systems such as chatbots have become more accessible on the Internet and stronger in terms of capabilities. The use of chatbots, particularly ChatGPT, for generating academic essays at schools and colleges has sparked fears among scholars. This study aims to explore the originality of contents produced by one of the most popular AI chatbots, ChatGPT. To this end, two popular plagiarism detection tools were used to evaluate the originality of 50 essays generated by ChatGPT on various topics. Our results manifest that ChatGPT has a great potential to generate sophisticated text outputs without being well caught by the plagiarism check software. In other words, ChatGPT can create content on many topics with high originality as if they were written by someone. These findings align with the recent concerns about students using chatbots for an easy shortcut to success with minimal or no effort. Moreover, ChatGPT was asked to verify if the essays were generated by itself, as an additional measure of plagiarism check, and it showed superior performance compared to the traditional plagiarism-detection tools. The paper discusses the need for institutions to consider appropriate measures to mitigate potential plagiarism issues and advise on the ongoing debate surrounding the impact of AI technology on education. Further implications are discussed in the paper."]], "0_corpus": "arxiv", "1_conv_id": "d7c3ade4f6da4a77994f5749c21044e6", "1_model_name": "mixedbread-ai/mxbai-embed-large-v1", "1_prompt": "Evaluating originality of AI-generated content with plagiarism tools", "1_output": [["Evaluating originality of AI-generated content with plagiarism tools", "Title: Originality and the Future of Copyright in an Age of Generative AI\n\nAbstract: This papers explores the question of human authorship when works are created with generative AI tools."]], "1_corpus": "arxiv"}
 {"tstamp": 1728747069.9152, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "8a67d1643f0a4aac9fbdfe89a0fbac69", "0_model_name": "sentence-transformers/all-MiniLM-L6-v2", "0_prompt": "What was the population of benoni  in 1988", "0_output": [["What was the population of benoni  in 1988", "Benvolio\n\nBenvolio Montague () is a fictional character in William Shakespeare's tragedy Romeo and Juliet. He is Lord Montague's nephew and Romeo's cousin. Benvolio serves as an unsuccessful peacemaker in the play, attempting to prevent violence between the Capulet and Montague families."]], "0_corpus": "wikipedia", "1_conv_id": "f5e5aab8c6174f9bba2f0179eb7454f9", "1_model_name": "Salesforce/SFR-Embedding-2_R", "1_prompt": "What was the population of benoni  in 1988", "1_output": [["What was the population of benoni  in 1988", "Benoni, South Africa\n\nBenoni is a town on the East Rand, Gauteng, South Africa, some  east of Johannesburg, within the City of Ekurhuleni municipality.\nBenoni was also the setting for the MTV-inspired movie Crazy Monkey: Straight Outta Benoni, released internationally in 2005.\nGeography\nBenoni is situated towards the centre of the East Rand and lies on the urban fringe where the urban area dissolves into the smallholdings and farmland to the north. It borders on Kempton Park to the north-west, Boksburg to the west, Brakpan to the south and Daveyton to the east.\nBenoni mainly encompasses a mixture of suburban areas and semi-rural acreage towards the north while the commercial centre (Central Business District) lies in the centre and a few industrial areas lie towards the south.\nTransportation"]], "1_corpus": "wikipedia"}
 {"tstamp": 1728763408.3351, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "d3a35f6f46ea4fa387e66f52e531c594", "0_model_name": "voyage-multilingual-2", "0_prompt": "People", "0_output": [["People", "List of films: P\n\nThe People (1972) (TV) The People vs. George Lucas (2010)\nPeople I Know (2002)\nThe People vs. Jean Harris (1981) (TV)\nThe People vs. Larry Flynt (1996)\nPeople Like Us: (1980 & 2012)\nPeople of the Mountains (1942)\nThe People Next Door: (1968 TV, 1970 & 1996 TV)\nPeople on Sunday (1930)\nThe People That Time Forgot (1977)\nThe People Under the Stairs (1991)\nPeople Will Talk (1951)\nPeople's Hero (1987)\nPepe (1960)\nPeppermint (2018)\nPeppermint Candy (2000)\nPeppermint Soda (1977)\nPequeña revancha (1986)\nPerazhagan (2004)\nPerceval le Gallois (1978)\nPercy: (1925, 1971, 1989 & 2020)\nPercy Jackson & the Olympians: The Lightning Thief (2010)\nPercy Jackson: Sea of Monsters (2013)\nPerdida: (1916, 2018 & 2019)\nPerdita Durango (1997)\nLe Père Noël a les yeux bleus (1969)\nPerfect: (1985, 2016 & 2018)\nPerfect Blue (1997)\nPerfect Blue: Yume Nara Samete (2002)\nA Perfect Couple (1979)\nThe Perfect Couple (2007)\nPerfect Creature (2007)\nPerfect Day: (1929 & 2005 TV)\nPerfect Friday (1970)\nA Perfect Getaway (2009)\nThe Perfect Guy: (1998 & 2015)\nPerfect High (2015)\nThe Perfect Host (2010)\nPerfect Imperfection (2016)\nA Perfect Little Man (1999)\nA Perfect Man: (2013 & 2015)\nThe Perfect Man: (1939 & 2005)\nA Perfect Murder (1998)\nThe Perfect Score (2004)\nPerfect Sense (2011)"]], "0_corpus": "wikipedia", "1_conv_id": "3318dcfe5898412ea49e16487921d7e7", "1_model_name": "text-embedding-004", "1_prompt": "People", "1_output": [["People", "People (magazine)\n\nHistory Andrew Heiskell, who was the chief executive officer of Time Inc. at the time and the former publisher of the weekly Life magazine, is credited with coming up with the idea for People. The founding managing editor of People was Richard Stolley, a former assistant managing editor at Life and the journalist who acquired the Zapruder film of the John F. Kennedy assassination for Time Inc. in 1963. Peoples first publisher was Richard J. \"Dick\" Durrell, another Time Inc. veteran.\nStolley characterized the magazine as \"getting back to the people who are causing the news and who are caught up in it, or deserve to be in it. Our focus is on people, not issues.\" Stolley's almost religious determination to keep the magazine people-focused contributed significantly to its rapid early success. It is said that although Time Inc. pumped an estimated $40 million into the venture, the magazine only broke even 18 months after its debut on February 25, 1974. Initially, the magazine was sold primarily on newsstands and in supermarkets. To get the magazine out each week, founding staff members regularly slept on the floor of their offices two or three nights each week and severely limited all non-essential outside engagements. The premiere edition for the week ending March 4, 1974, featured actress Mia Farrow, then starring in the film The Great Gatsby, on the cover. That issue also featured stories on Gloria Vanderbilt, Aleksandr Solzhenitsyn and the wives of U.S. Vietnam veterans who were missing in action. The magazine was, apart from its cover, printed in black-and-white. The initial cover price was 35 cents ()."]], "1_corpus": "wikipedia"}
+{"tstamp": 1728808169.6852, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "e83cfcd6e3a04ddd9bb2202fd46b4241", "0_model_name": "intfloat/e5-mistral-7b-instruct", "0_prompt": "hello world", "0_output": [["hello world", "Hello World\n\nHello World may refer to:\n\"Hello, World!\" program, a computer program that outputs or displays the message \"Hello, World!\"\nMusic\n\"Hello World!\" (composition), song by the Iamus computer\n\"Hello World\" (Tremeloes song), 1969\n\"Hello World\" (Lady Antebellum song), 2010\n\"Hello World\", a song by Nik Kershaw from the album To Be Frank\n\"Hello, World!\", a 2015 song by Bump of Chicken\n\"Hello World\", a 2015 song by Ginny Blackmore\n\"Hello World\", a song by Belle Perez\n\"Hello, World!\", a 2018 song by Vocaloid producer YZYX featuring Hatsune Miku\n\"Hello World\", a 2022 song by Alan Walker featuring Torine\n\"Hello World\", a 2024 song by LiSA\nAlbums\nHello World, 2011 album by Back-On\nHello World (Information Society album), 2014\nHello World (Scandal album), 2014\nHello, World! (EP), 2022 EP by Xdinary Heroes\nHello World: The Motown Solo Collection, compilation album by Michael Jackson\nOther uses\nHelloworld Travel, an Australian-based travel agency\nHelloworld (TV program), an Australian travel and lifestyle television program\nHello World (film), a 2019 Japanese animated film\nHello World (Web Series), a 2022 Telugu TV Series\nHello World: How to Be Human in the Age of the Machine, a book by Hannah Fry"]], "0_corpus": "wikipedia", "1_conv_id": "59bb1a0f86d7442d81e3cfef8afe078e", "1_model_name": "BAAI/bge-large-en-v1.5", "1_prompt": "hello world", "1_output": [["hello world", "\"Hello, World!\" program\n\nA \"Hello, World!\" program is generally a simple computer program which outputs (or displays) to the screen (often the console) a message similar to \"Hello, World!\" while ignoring any user input. A small piece of code in most general-purpose programming languages, this program is used to illustrate a language's basic syntax. A \"Hello, World!\" program is often the first written by a student of a new programming language, but such a program can also be used as a sanity check to ensure that the computer software intended to compile or run source code is correctly installed, and that its operator understands how to use it.\nHistory\nWhile small test programs have existed since the development of programmable computers, the tradition of using the phrase \"Hello, World!\" as a test message was influenced by an example program in the 1978 book The C Programming Language, with likely earlier use in BCPL. The example program from the book prints , and was inherited from a 1974 Bell Laboratories internal memorandum by Brian Kernighan, Programming in C: A Tutorial:\nmain( ) {\nprintf(\"hello, world\");\n}\nIn the above example, the  function defines where the program should start executing. The function body consists of a single statement, a call to the  function, which stands for \"print formatted\"; it outputs to the console whatever is passed to it as the parameter, in this case the string .\nThe C-language version was preceded by Kernighan's own 1972 A Tutorial Introduction to the Language B, where the first known version of the program is found in an example used to illustrate external variables:"]], "1_corpus": "wikipedia"}
+{"tstamp": 1728808209.9118, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "4e5989223d104e14a96f573bebf4c9d8", "0_model_name": "nomic-ai/nomic-embed-text-v1.5", "0_prompt": "Hello world", "0_output": [["Hello world", "Title: Saying Hello World with Henshin - A Solution to the TTC 2011 Instructive Case\n\nAbstract: This paper gives an overview of the Henshin solution to the Hello World case study of the Transformation Tool Contest 2011, intended to show basic language concepts and constructs."]], "0_corpus": "arxiv", "1_conv_id": "b6fbb315d8594424a5ebb69b5980c0c5", "1_model_name": "jinaai/jina-embeddings-v2-base-en", "1_prompt": "Hello world", "1_output": [["Hello world", "Title: Some remarks on the {$q$}-Poincare algebra in R-matrix form\n\nAbstract: The braided approach to q-deformation (due to the author and collaborators) gives natural algebras $R_{21}u_1Ru_2=u_2R_{21}u_1R$ and $R_{21}x_1x_2=x_2x_1R$ for q-Minkowski and q-Euclidean spaces respectively. These algebras are covariant under a corresponding background `rotation' quantum group. Semidirect product by this according to the bosonisation procedure (also due to the author) gives the corresponding Poincar\\'e quantum groups. We review the construction and collect the resulting R-matrix formulae for both Euclidean and Minkowski cases in both enveloping algebra and function algebra form, and the duality between them. Axioms for the Poincar\\'e quantum group $*$-structure and the dilaton problem are discussed."]], "1_corpus": "arxiv"}
+{"tstamp": 1728808246.8346, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "d6eee838277d40d7bd71bc79cd264cff", "0_model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "0_prompt": "AI Music", "0_output": [["AI Music", "Title: Artificial Musical Intelligence: A Survey\n\nAbstract: Computers have been used to analyze and create music since they were first introduced in the 1950s and 1960s. Beginning in the late 1990s, the rise of the Internet and large scale platforms for music recommendation and retrieval have made music an increasingly prevalent domain of machine learning and artificial intelligence research. While still nascent, several different approaches have been employed to tackle what may broadly be referred to as \"musical intelligence.\" This article provides a definition of musical intelligence, introduces a taxonomy of its constituent components, and surveys the wide range of AI methods that can be, and have been, brought to bear in its pursuit, with a particular emphasis on machine learning methods."]], "0_corpus": "arxiv", "1_conv_id": "1b34a19e06b441a4a813b65e5bfc88b6", "1_model_name": "BAAI/bge-large-en-v1.5", "1_prompt": "AI Music", "1_output": [["AI Music", "Title: Artificial Musical Intelligence: A Survey\n\nAbstract: Computers have been used to analyze and create music since they were first introduced in the 1950s and 1960s. Beginning in the late 1990s, the rise of the Internet and large scale platforms for music recommendation and retrieval have made music an increasingly prevalent domain of machine learning and artificial intelligence research. While still nascent, several different approaches have been employed to tackle what may broadly be referred to as \"musical intelligence.\" This article provides a definition of musical intelligence, introduces a taxonomy of its constituent components, and surveys the wide range of AI methods that can be, and have been, brought to bear in its pursuit, with a particular emphasis on machine learning methods."]], "1_corpus": "arxiv"}
+{"tstamp": 1728808275.091, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "c5d6c5a6d6324670a31821ccb4493b4d", "0_model_name": "voyage-multilingual-2", "0_prompt": "Rust VS C++", "0_output": [["Rust VS C++", "Title: Is Rust C++-fast? Benchmarking System Languages on Everyday Routines\n\nAbstract: Rust is a relatively new system programming language that has been experiencing a rapid adoption in the past 10 years. Rust incorporates a memory ownership model enforced at a compile time. Since this model involves zero runtime overhead, programs written in Rust are not only memory-safe but also fast, leading to performance comparable to C and C++. Multiple existing benchmarks comparing the performance of Rust with other languages focus on rarely used superficial algorithms, leading to somewhat inconclusive results. In this work, we conduct a comparative performance benchmark of Rust and C++ using commonly used algorithms and data structures rather than exotic ones. Our evaluation shows that the overall performance of Rust is similar to C++, with only minor disadvantage. We also demonstrate that in some Rust routines are slightly faster than the ones of C++."]], "0_corpus": "arxiv", "1_conv_id": "899c1ccffe384bacb9c8786cd2f28126", "1_model_name": "Salesforce/SFR-Embedding-2_R", "1_prompt": "Rust VS C++", "1_output": [["Rust VS C++", "Title: Is Rust C++-fast? Benchmarking System Languages on Everyday Routines\n\nAbstract: Rust is a relatively new system programming language that has been experiencing a rapid adoption in the past 10 years. Rust incorporates a memory ownership model enforced at a compile time. Since this model involves zero runtime overhead, programs written in Rust are not only memory-safe but also fast, leading to performance comparable to C and C++. Multiple existing benchmarks comparing the performance of Rust with other languages focus on rarely used superficial algorithms, leading to somewhat inconclusive results. In this work, we conduct a comparative performance benchmark of Rust and C++ using commonly used algorithms and data structures rather than exotic ones. Our evaluation shows that the overall performance of Rust is similar to C++, with only minor disadvantage. We also demonstrate that in some Rust routines are slightly faster than the ones of C++."]], "1_corpus": "arxiv"}
+{"tstamp": 1728808314.2248, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "7727016fe46a4edaa506a8d424e2c882", "0_model_name": "sentence-transformers/all-MiniLM-L6-v2", "0_prompt": "What's the purpose of `if __name__ == '__main__'`?", "0_output": [["What's the purpose of `if __name__ == '__main__'`?", "Stackoverflow Stackexchange\n\nQ: Reading h264 stream in Python I am trying to read a video stream from a Parrot Bebop 2 drone. \nThe video stream is written as \"socket\" to a file as H264 stream.\n$ ffmpeg -i [STREAM]\nInput #0, h264, from 'stream_h264':\n  Duration: N/A, bitrate: N/A\n  Stream #0:0: Video: h264 (Constrained Baseline), 1 reference frame, yuv420p(progressive, left), 1280x720, 23.98 fps, 23.98 tbr, 1200k tbn, 47.95 tbc\n\nReading the video stream in MPlayer is not a problem using the parameters below. Playing it using VLC or ffmpeg should also not be too hard. For MPlayer the following works:\nmplayer -fs -demuxer h264es -benchmark stream_h264\n\nThis plays the stream in high-res. However my goal is to perform image processing on the frames using Python (mostly OpenCV). Therefore, I would like to read the frames into NumPy arrays. I have already considered using cv2.VideoCapture but this does not seem to work for my stream. Other (somewhat easy) to use options I am not aware of, therefore my question is whether someone recommend me how to read the video frames in Python? \nAll recommendations are more than welcome!\n"]], "0_corpus": "stackexchange", "1_conv_id": "571a51991f0d4bc5b8de1194ec74acd9", "1_model_name": "nomic-ai/nomic-embed-text-v1.5", "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": 1728808372.0311, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "e329c11d1a1d4173bbc703f36c153a20", "0_model_name": "sentence-transformers/all-MiniLM-L6-v2", "0_prompt": "python `difflib`", "0_output": [["python `difflib`", "Python\n\nPython may refer to:\nSnakes\nPythonidae, a family of nonvenomous snakes found in Africa, Asia, and Australia\nPython (genus), a genus of Pythonidae found in Africa and Asia\nPython (mythology), a mythical serpent\nComputing\nPython (programming language), a widely used high-level programming language\nPython, a native code compiler for CMU Common Lisp\nPython, the internal project name for the PERQ 3 computer workstation\nPeople\nPython of Aenus (4th-century BCE), student of Plato\nPython (painter), (ca. 360–320 BCE) vase painter in Poseidonia\nPython of Byzantium, orator, diplomat of Philip II of Macedon\nPython of Catana, poet who accompanied Alexander the Great\nPython Anghelo (1954–2014) Romanian graphic artist\nRoller coasters\nPython (Efteling), a roller coaster in the Netherlands\nPython (Busch Gardens Tampa Bay), a defunct roller coaster\nPython (Coney Island, Cincinnati, Ohio), a steel roller coaster\nVehicles\nPython (automobile maker), an Australian car company\nPython (Ford prototype), a Ford prototype sports car\nWeaponry\nPython (missile), a series of Israeli air-to-air missiles\nPython (nuclear primary), a gas-boosted fission primary used in thermonuclear weapons\nColt Python, a revolver\nOther uses\nPython (codename), a British nuclear war contingency plan\nPython (film), a 2000 horror film by Richard Clabaugh\nMonty Python or the Pythons, a British comedy group\nPython (Monty) Pictures, a company owned by the troupe's surviving members\nPython, a work written by philosopher Timon of Phlius"]], "0_corpus": "wikipedia", "1_conv_id": "5710fd6a448b4cc8baec063f28c3499d", "1_model_name": "embed-english-v3.0", "1_prompt": "python `difflib`", "1_output": [["python `difflib`", "Diff\n\nAlgorithmic derivatives Utilities that compare source files by their syntactic structure have been built mostly as research tools for some programming languages; some are available as commercial tools. In addition, free tools that perform syntax-aware diff include:\nC++: zograscope, AST-based.\nHTML: Daisydiff, html-differ.\nXML: xmldiffpatch by Microsoft and xmldiffmerge for IBM.\nJavaScript: astii (AST-based).\nMulti-language: Pretty Diff (format code and then diff)\nspiff is a variant of diff that ignores differences in floating point calculations with roundoff errors and whitespace, both of which are generally irrelevant to source code comparison. Bellcore wrote the original version. An HPUX port is the most current public release. spiff does not support binary files. spiff outputs to the standard output in standard diff format and accepts inputs in the C, Bourne shell, Fortran, Modula-2 and Lisp programming languages.\nLibXDiff is an LGPL library that provides an interface to many algorithms from 1998. An improved Myers algorithm with Rabin fingerprint was originally implemented (as of the final release of 2008), but git and libgit2's fork has since expanded the repository with many of its own. One algorithm called \"histogram\" is generally regarded as much better than the original Myers algorithm, both in speed and quality. This is the modern version of LibXDiff used by Vim."]], "1_corpus": "wikipedia"}

data/retrieval_individual-3c73e733-b3f5-49ee-809f-5dd8857c42b8.jsonl

@@ -29,3 +29,15 @@
 {"tstamp": 1728760036.0945, "task_type": "retrieval", "type": "chat", "model": "Alibaba-NLP/gte-Qwen2-7B-instruct", "gen_params": {}, "start": 1728760035.7371, "finish": 1728760036.0945, "ip": "", "conv_id": "7cd1134d5ccc4e5380ad77a1278c0e42", "model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "prompt": "why is there a ball in guinness beer", "output": [["why is there a ball in guinness beer", "Guinness\n\nSinking bubbles When Guinness is poured, the gas bubbles appear to travel downwards in the glass. The effect is attributed to drag; bubbles that touch the walls of a glass are slowed in their travel upwards. Bubbles in the centre of the glass are, however, free to rise to the surface, and thus form a rising column of bubbles. The rising bubbles create a current by the entrainment of the surrounding fluid. As beer rises in the centre, the beer near the outside of the glass falls. This downward flow pushes the bubbles near the glass towards the bottom. Although the effect occurs in any liquid, it is particularly noticeable in any dark nitrogen stout, as the drink combines dark-coloured liquid and light-coloured bubbles.\nA study published in 2012 revealed that the effect is due to the particular shape of the glass coupled with the small bubble size found in stout beers. If the vessel widens with height, then bubbles will sink along the walls – this is the case for the standard pint glass. Conversely, in an anti-pint (i.e. if the vessel narrows with height) bubbles will rise along the walls.\nAdvertising\nThe Guinness harp motif is modelled on the Trinity College harp. It was adopted in 1862 by the incumbent proprietor, Benjamin Lee Guinness. Harps have been a symbol of Ireland at least since the reign of Henry VIII. Guinness registered their harp as a trademark shortly after the passing of the Trade Marks Registration Act of 1875. It faces right instead of left, and so can be distinguished from the Irish coat of arms.\nSince the 1930s, in the face of falling sales, Guinness has had a long history of marketing campaigns, from television advertisements to beer mats and posters. Before then, Guinness had almost no advertising, instead allowing word of mouth to sell the product."]], "corpus": "wikipedia"}
 {"tstamp": 1728763381.8036, "task_type": "retrieval", "type": "chat", "model": "voyage-multilingual-2", "gen_params": {}, "start": 1728763381.3399, "finish": 1728763381.8036, "ip": "", "conv_id": "d3a35f6f46ea4fa387e66f52e531c594", "model_name": "voyage-multilingual-2", "prompt": "People", "output": [["People", "List of films: P\n\nThe People (1972) (TV) The People vs. George Lucas (2010)\nPeople I Know (2002)\nThe People vs. Jean Harris (1981) (TV)\nThe People vs. Larry Flynt (1996)\nPeople Like Us: (1980 & 2012)\nPeople of the Mountains (1942)\nThe People Next Door: (1968 TV, 1970 & 1996 TV)\nPeople on Sunday (1930)\nThe People That Time Forgot (1977)\nThe People Under the Stairs (1991)\nPeople Will Talk (1951)\nPeople's Hero (1987)\nPepe (1960)\nPeppermint (2018)\nPeppermint Candy (2000)\nPeppermint Soda (1977)\nPequeña revancha (1986)\nPerazhagan (2004)\nPerceval le Gallois (1978)\nPercy: (1925, 1971, 1989 & 2020)\nPercy Jackson & the Olympians: The Lightning Thief (2010)\nPercy Jackson: Sea of Monsters (2013)\nPerdida: (1916, 2018 & 2019)\nPerdita Durango (1997)\nLe Père Noël a les yeux bleus (1969)\nPerfect: (1985, 2016 & 2018)\nPerfect Blue (1997)\nPerfect Blue: Yume Nara Samete (2002)\nA Perfect Couple (1979)\nThe Perfect Couple (2007)\nPerfect Creature (2007)\nPerfect Day: (1929 & 2005 TV)\nPerfect Friday (1970)\nA Perfect Getaway (2009)\nThe Perfect Guy: (1998 & 2015)\nPerfect High (2015)\nThe Perfect Host (2010)\nPerfect Imperfection (2016)\nA Perfect Little Man (1999)\nA Perfect Man: (2013 & 2015)\nThe Perfect Man: (1939 & 2005)\nA Perfect Murder (1998)\nThe Perfect Score (2004)\nPerfect Sense (2011)"]], "corpus": "wikipedia"}
 {"tstamp": 1728763381.8036, "task_type": "retrieval", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1728763381.3399, "finish": 1728763381.8036, "ip": "", "conv_id": "3318dcfe5898412ea49e16487921d7e7", "model_name": "text-embedding-004", "prompt": "People", "output": [["People", "People (magazine)\n\nHistory Andrew Heiskell, who was the chief executive officer of Time Inc. at the time and the former publisher of the weekly Life magazine, is credited with coming up with the idea for People. The founding managing editor of People was Richard Stolley, a former assistant managing editor at Life and the journalist who acquired the Zapruder film of the John F. Kennedy assassination for Time Inc. in 1963. Peoples first publisher was Richard J. \"Dick\" Durrell, another Time Inc. veteran.\nStolley characterized the magazine as \"getting back to the people who are causing the news and who are caught up in it, or deserve to be in it. Our focus is on people, not issues.\" Stolley's almost religious determination to keep the magazine people-focused contributed significantly to its rapid early success. It is said that although Time Inc. pumped an estimated $40 million into the venture, the magazine only broke even 18 months after its debut on February 25, 1974. Initially, the magazine was sold primarily on newsstands and in supermarkets. To get the magazine out each week, founding staff members regularly slept on the floor of their offices two or three nights each week and severely limited all non-essential outside engagements. The premiere edition for the week ending March 4, 1974, featured actress Mia Farrow, then starring in the film The Great Gatsby, on the cover. That issue also featured stories on Gloria Vanderbilt, Aleksandr Solzhenitsyn and the wives of U.S. Vietnam veterans who were missing in action. The magazine was, apart from its cover, printed in black-and-white. The initial cover price was 35 cents ()."]], "corpus": "wikipedia"}
+{"tstamp": 1728808144.5475, "task_type": "retrieval", "type": "chat", "model": "intfloat/e5-mistral-7b-instruct", "gen_params": {}, "start": 1728808143.5378, "finish": 1728808144.5475, "ip": "", "conv_id": "e83cfcd6e3a04ddd9bb2202fd46b4241", "model_name": "intfloat/e5-mistral-7b-instruct", "prompt": "hello world", "output": [["hello world", "Hello World\n\nHello World may refer to:\n\"Hello, World!\" program, a computer program that outputs or displays the message \"Hello, World!\"\nMusic\n\"Hello World!\" (composition), song by the Iamus computer\n\"Hello World\" (Tremeloes song), 1969\n\"Hello World\" (Lady Antebellum song), 2010\n\"Hello World\", a song by Nik Kershaw from the album To Be Frank\n\"Hello, World!\", a 2015 song by Bump of Chicken\n\"Hello World\", a 2015 song by Ginny Blackmore\n\"Hello World\", a song by Belle Perez\n\"Hello, World!\", a 2018 song by Vocaloid producer YZYX featuring Hatsune Miku\n\"Hello World\", a 2022 song by Alan Walker featuring Torine\n\"Hello World\", a 2024 song by LiSA\nAlbums\nHello World, 2011 album by Back-On\nHello World (Information Society album), 2014\nHello World (Scandal album), 2014\nHello, World! (EP), 2022 EP by Xdinary Heroes\nHello World: The Motown Solo Collection, compilation album by Michael Jackson\nOther uses\nHelloworld Travel, an Australian-based travel agency\nHelloworld (TV program), an Australian travel and lifestyle television program\nHello World (film), a 2019 Japanese animated film\nHello World (Web Series), a 2022 Telugu TV Series\nHello World: How to Be Human in the Age of the Machine, a book by Hannah Fry"]], "corpus": "wikipedia"}
+{"tstamp": 1728808144.5475, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1728808143.5378, "finish": 1728808144.5475, "ip": "", "conv_id": "59bb1a0f86d7442d81e3cfef8afe078e", "model_name": "BAAI/bge-large-en-v1.5", "prompt": "hello world", "output": [["hello world", "\"Hello, World!\" program\n\nA \"Hello, World!\" program is generally a simple computer program which outputs (or displays) to the screen (often the console) a message similar to \"Hello, World!\" while ignoring any user input. A small piece of code in most general-purpose programming languages, this program is used to illustrate a language's basic syntax. A \"Hello, World!\" program is often the first written by a student of a new programming language, but such a program can also be used as a sanity check to ensure that the computer software intended to compile or run source code is correctly installed, and that its operator understands how to use it.\nHistory\nWhile small test programs have existed since the development of programmable computers, the tradition of using the phrase \"Hello, World!\" as a test message was influenced by an example program in the 1978 book The C Programming Language, with likely earlier use in BCPL. The example program from the book prints , and was inherited from a 1974 Bell Laboratories internal memorandum by Brian Kernighan, Programming in C: A Tutorial:\nmain( ) {\nprintf(\"hello, world\");\n}\nIn the above example, the  function defines where the program should start executing. The function body consists of a single statement, a call to the  function, which stands for \"print formatted\"; it outputs to the console whatever is passed to it as the parameter, in this case the string .\nThe C-language version was preceded by Kernighan's own 1972 A Tutorial Introduction to the Language B, where the first known version of the program is found in an example used to illustrate external variables:"]], "corpus": "wikipedia"}
+{"tstamp": 1728808199.5998, "task_type": "retrieval", "type": "chat", "model": "nomic-ai/nomic-embed-text-v1.5", "gen_params": {}, "start": 1728808199.3417, "finish": 1728808199.5998, "ip": "", "conv_id": "4e5989223d104e14a96f573bebf4c9d8", "model_name": "nomic-ai/nomic-embed-text-v1.5", "prompt": "Hello world", "output": [["Hello world", "Title: Saying Hello World with Henshin - A Solution to the TTC 2011 Instructive Case\n\nAbstract: This paper gives an overview of the Henshin solution to the Hello World case study of the Transformation Tool Contest 2011, intended to show basic language concepts and constructs."]], "corpus": "arxiv"}
+{"tstamp": 1728808199.5998, "task_type": "retrieval", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1728808199.3417, "finish": 1728808199.5998, "ip": "", "conv_id": "b6fbb315d8594424a5ebb69b5980c0c5", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": "Hello world", "output": [["Hello world", "Title: Some remarks on the {$q$}-Poincare algebra in R-matrix form\n\nAbstract: The braided approach to q-deformation (due to the author and collaborators) gives natural algebras $R_{21}u_1Ru_2=u_2R_{21}u_1R$ and $R_{21}x_1x_2=x_2x_1R$ for q-Minkowski and q-Euclidean spaces respectively. These algebras are covariant under a corresponding background `rotation' quantum group. Semidirect product by this according to the bosonisation procedure (also due to the author) gives the corresponding Poincar\\'e quantum groups. We review the construction and collect the resulting R-matrix formulae for both Euclidean and Minkowski cases in both enveloping algebra and function algebra form, and the duality between them. Axioms for the Poincar\\'e quantum group $*$-structure and the dilaton problem are discussed."]], "corpus": "arxiv"}
+{"tstamp": 1728808225.9073, "task_type": "retrieval", "type": "chat", "model": "Alibaba-NLP/gte-Qwen2-7B-instruct", "gen_params": {}, "start": 1728808225.6991, "finish": 1728808225.9073, "ip": "", "conv_id": "d6eee838277d40d7bd71bc79cd264cff", "model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "prompt": "AI Music", "output": [["AI Music", "Title: Artificial Musical Intelligence: A Survey\n\nAbstract: Computers have been used to analyze and create music since they were first introduced in the 1950s and 1960s. Beginning in the late 1990s, the rise of the Internet and large scale platforms for music recommendation and retrieval have made music an increasingly prevalent domain of machine learning and artificial intelligence research. While still nascent, several different approaches have been employed to tackle what may broadly be referred to as \"musical intelligence.\" This article provides a definition of musical intelligence, introduces a taxonomy of its constituent components, and surveys the wide range of AI methods that can be, and have been, brought to bear in its pursuit, with a particular emphasis on machine learning methods."]], "corpus": "arxiv"}
+{"tstamp": 1728808225.9073, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1728808225.6991, "finish": 1728808225.9073, "ip": "", "conv_id": "1b34a19e06b441a4a813b65e5bfc88b6", "model_name": "BAAI/bge-large-en-v1.5", "prompt": "AI Music", "output": [["AI Music", "Title: Artificial Musical Intelligence: A Survey\n\nAbstract: Computers have been used to analyze and create music since they were first introduced in the 1950s and 1960s. Beginning in the late 1990s, the rise of the Internet and large scale platforms for music recommendation and retrieval have made music an increasingly prevalent domain of machine learning and artificial intelligence research. While still nascent, several different approaches have been employed to tackle what may broadly be referred to as \"musical intelligence.\" This article provides a definition of musical intelligence, introduces a taxonomy of its constituent components, and surveys the wide range of AI methods that can be, and have been, brought to bear in its pursuit, with a particular emphasis on machine learning methods."]], "corpus": "arxiv"}
+{"tstamp": 1728808269.5498, "task_type": "retrieval", "type": "chat", "model": "voyage-multilingual-2", "gen_params": {}, "start": 1728808269.1786, "finish": 1728808269.5498, "ip": "", "conv_id": "c5d6c5a6d6324670a31821ccb4493b4d", "model_name": "voyage-multilingual-2", "prompt": "Rust VS C++", "output": [["Rust VS C++", "Title: Is Rust C++-fast? Benchmarking System Languages on Everyday Routines\n\nAbstract: Rust is a relatively new system programming language that has been experiencing a rapid adoption in the past 10 years. Rust incorporates a memory ownership model enforced at a compile time. Since this model involves zero runtime overhead, programs written in Rust are not only memory-safe but also fast, leading to performance comparable to C and C++. Multiple existing benchmarks comparing the performance of Rust with other languages focus on rarely used superficial algorithms, leading to somewhat inconclusive results. In this work, we conduct a comparative performance benchmark of Rust and C++ using commonly used algorithms and data structures rather than exotic ones. Our evaluation shows that the overall performance of Rust is similar to C++, with only minor disadvantage. We also demonstrate that in some Rust routines are slightly faster than the ones of C++."]], "corpus": "arxiv"}
+{"tstamp": 1728808269.5498, "task_type": "retrieval", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1728808269.1786, "finish": 1728808269.5498, "ip": "", "conv_id": "899c1ccffe384bacb9c8786cd2f28126", "model_name": "Salesforce/SFR-Embedding-2_R", "prompt": "Rust VS C++", "output": [["Rust VS C++", "Title: Is Rust C++-fast? Benchmarking System Languages on Everyday Routines\n\nAbstract: Rust is a relatively new system programming language that has been experiencing a rapid adoption in the past 10 years. Rust incorporates a memory ownership model enforced at a compile time. Since this model involves zero runtime overhead, programs written in Rust are not only memory-safe but also fast, leading to performance comparable to C and C++. Multiple existing benchmarks comparing the performance of Rust with other languages focus on rarely used superficial algorithms, leading to somewhat inconclusive results. In this work, we conduct a comparative performance benchmark of Rust and C++ using commonly used algorithms and data structures rather than exotic ones. Our evaluation shows that the overall performance of Rust is similar to C++, with only minor disadvantage. We also demonstrate that in some Rust routines are slightly faster than the ones of C++."]], "corpus": "arxiv"}
+{"tstamp": 1728808291.2599, "task_type": "retrieval", "type": "chat", "model": "sentence-transformers/all-MiniLM-L6-v2", "gen_params": {}, "start": 1728808291.0797, "finish": 1728808291.2599, "ip": "", "conv_id": "7727016fe46a4edaa506a8d424e2c882", "model_name": "sentence-transformers/all-MiniLM-L6-v2", "prompt": "What's the purpose of `if __name__ == '__main__'`?", "output": [["What's the purpose of `if __name__ == '__main__'`?", "Stackoverflow Stackexchange\n\nQ: Reading h264 stream in Python I am trying to read a video stream from a Parrot Bebop 2 drone. \nThe video stream is written as \"socket\" to a file as H264 stream.\n$ ffmpeg -i [STREAM]\nInput #0, h264, from 'stream_h264':\n  Duration: N/A, bitrate: N/A\n  Stream #0:0: Video: h264 (Constrained Baseline), 1 reference frame, yuv420p(progressive, left), 1280x720, 23.98 fps, 23.98 tbr, 1200k tbn, 47.95 tbc\n\nReading the video stream in MPlayer is not a problem using the parameters below. Playing it using VLC or ffmpeg should also not be too hard. For MPlayer the following works:\nmplayer -fs -demuxer h264es -benchmark stream_h264\n\nThis plays the stream in high-res. However my goal is to perform image processing on the frames using Python (mostly OpenCV). Therefore, I would like to read the frames into NumPy arrays. I have already considered using cv2.VideoCapture but this does not seem to work for my stream. Other (somewhat easy) to use options I am not aware of, therefore my question is whether someone recommend me how to read the video frames in Python? \nAll recommendations are more than welcome!\n"]], "corpus": "stackexchange"}
+{"tstamp": 1728808291.2599, "task_type": "retrieval", "type": "chat", "model": "nomic-ai/nomic-embed-text-v1.5", "gen_params": {}, "start": 1728808291.0797, "finish": 1728808291.2599, "ip": "", "conv_id": "571a51991f0d4bc5b8de1194ec74acd9", "model_name": "nomic-ai/nomic-embed-text-v1.5", "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": 1728808354.992, "task_type": "retrieval", "type": "chat", "model": "sentence-transformers/all-MiniLM-L6-v2", "gen_params": {}, "start": 1728808353.6967, "finish": 1728808354.992, "ip": "", "conv_id": "e329c11d1a1d4173bbc703f36c153a20", "model_name": "sentence-transformers/all-MiniLM-L6-v2", "prompt": "python `difflib`", "output": [["python `difflib`", "Python\n\nPython may refer to:\nSnakes\nPythonidae, a family of nonvenomous snakes found in Africa, Asia, and Australia\nPython (genus), a genus of Pythonidae found in Africa and Asia\nPython (mythology), a mythical serpent\nComputing\nPython (programming language), a widely used high-level programming language\nPython, a native code compiler for CMU Common Lisp\nPython, the internal project name for the PERQ 3 computer workstation\nPeople\nPython of Aenus (4th-century BCE), student of Plato\nPython (painter), (ca. 360–320 BCE) vase painter in Poseidonia\nPython of Byzantium, orator, diplomat of Philip II of Macedon\nPython of Catana, poet who accompanied Alexander the Great\nPython Anghelo (1954–2014) Romanian graphic artist\nRoller coasters\nPython (Efteling), a roller coaster in the Netherlands\nPython (Busch Gardens Tampa Bay), a defunct roller coaster\nPython (Coney Island, Cincinnati, Ohio), a steel roller coaster\nVehicles\nPython (automobile maker), an Australian car company\nPython (Ford prototype), a Ford prototype sports car\nWeaponry\nPython (missile), a series of Israeli air-to-air missiles\nPython (nuclear primary), a gas-boosted fission primary used in thermonuclear weapons\nColt Python, a revolver\nOther uses\nPython (codename), a British nuclear war contingency plan\nPython (film), a 2000 horror film by Richard Clabaugh\nMonty Python or the Pythons, a British comedy group\nPython (Monty) Pictures, a company owned by the troupe's surviving members\nPython, a work written by philosopher Timon of Phlius"]], "corpus": "wikipedia"}
+{"tstamp": 1728808354.992, "task_type": "retrieval", "type": "chat", "model": "embed-english-v3.0", "gen_params": {}, "start": 1728808353.6967, "finish": 1728808354.992, "ip": "", "conv_id": "5710fd6a448b4cc8baec063f28c3499d", "model_name": "embed-english-v3.0", "prompt": "python `difflib`", "output": [["python `difflib`", "Diff\n\nAlgorithmic derivatives Utilities that compare source files by their syntactic structure have been built mostly as research tools for some programming languages; some are available as commercial tools. In addition, free tools that perform syntax-aware diff include:\nC++: zograscope, AST-based.\nHTML: Daisydiff, html-differ.\nXML: xmldiffpatch by Microsoft and xmldiffmerge for IBM.\nJavaScript: astii (AST-based).\nMulti-language: Pretty Diff (format code and then diff)\nspiff is a variant of diff that ignores differences in floating point calculations with roundoff errors and whitespace, both of which are generally irrelevant to source code comparison. Bellcore wrote the original version. An HPUX port is the most current public release. spiff does not support binary files. spiff outputs to the standard output in standard diff format and accepts inputs in the C, Bourne shell, Fortran, Modula-2 and Lisp programming languages.\nLibXDiff is an LGPL library that provides an interface to many algorithms from 1998. An improved Myers algorithm with Rabin fingerprint was originally implemented (as of the final release of 2008), but git and libgit2's fork has since expanded the repository with many of its own. One algorithm called \"histogram\" is generally regarded as much better than the original Myers algorithm, both in speed and quality. This is the modern version of LibXDiff used by Vim."]], "corpus": "wikipedia"}