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data/retrieval_battle-35e094d9-c3d4-447e-b2f4-7dd3f5d1d585.jsonl

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 {"tstamp": 1723439256.072, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "1729d13475704dbc8f01e85196039bca", "0_model_name": "Salesforce/SFR-Embedding-2_R", "0_prompt": "Advanced GRAPH RAG approaches", "0_output": [["Advanced GRAPH RAG approaches", "Title: GRAPE for Fast and Scalable Graph Processing and random walk-based Embedding\n\nAbstract: Graph Representation Learning (GRL) methods opened new avenues for addressing complex, real-world problems represented by graphs. However, many graphs used in these applications comprise millions of nodes and billions of edges and are beyond the capabilities of current methods and software implementations. We present GRAPE, a software resource for graph processing and embedding that can scale with big graphs by using specialized and smart data structures, algorithms, and a fast parallel implementation of random walk-based methods. Compared with state-of-the-art software resources, GRAPE shows an improvement of orders of magnitude in empirical space and time complexity, as well as a competitive edge and node label prediction performance. GRAPE comprises about 1.7 million well-documented lines of Python and Rust code and provides 69 node embedding methods, 25 inference models, a collection of efficient graph processing utilities and over 80,000 graphs from the literature and other sources. Standardized interfaces allow seamless integration of third-party libraries, while ready-to-use and modular pipelines permit an easy-to-use evaluation of GRL methods, therefore also positioning GRAPE as a software resource to perform a fair comparison between methods and libraries for graph processing and embedding."]], "0_corpus": "arxiv", "1_conv_id": "7d535ded43ec4f44a8dfa04baf617a02", "1_model_name": "text-embedding-3-large", "1_prompt": "Advanced GRAPH RAG approaches", "1_output": [["Advanced GRAPH RAG approaches", "Title: rags2ridges: A One-Stop-Shop for Graphical Modeling of High-Dimensional Precision Matrices\n\nAbstract: A graphical model is an undirected network representing the conditional independence properties between random variables. Graphical modeling has become part and parcel of systems or network approaches to multivariate data, in particular when the variable dimension exceeds the observation dimension. rags2ridges is an R package for graphical modeling of high-dimensional precision matrices. It provides a modular framework for the extraction, visualization, and analysis of Gaussian graphical models from high-dimensional data. Moreover, it can handle the incorporation of prior information as well as multiple heterogeneous data classes. As such, it provides a one-stop-shop for graphical modeling of high-dimensional precision matrices. The functionality of the package is illustrated with an example dataset pertaining to blood-based metabolite measurements in persons suffering from Alzheimer's Disease."]], "1_corpus": "arxiv"}
 {"tstamp": 1723442645.773, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "ff0bfd8ad23d4ed989f90237bb4dae4f", "0_model_name": "text-embedding-004", "0_prompt": "who is robert downey jr", "0_output": [["who is robert downey jr", "Robert Downey Jr.\n\nDowney returned as Tony Stark in the first of two planned sequels to Iron Man, Iron Man 2, which was released in May 2010. Iron Man 2 grossed over $623 million worldwide, becoming the 7th highest-grossing film of 2010. Downey's other commercial film release of 2010 was the comedy road film, Due Date. The movie, co-starring Zach Galifianakis, was released in November 2010 and grossed over $211 million worldwide, making it the 36th highest-grossing movie of 2010. Downey's sole 2011 film credit was Sherlock Holmes: A Game of Shadows, which opened worldwide on December 16, 2011.\nIn 2012, Downey reprised the role of Tony Stark in The Avengers. The film received positive reviews and was highly successful at the box office, becoming the third highest-grossing film of all time both in the United States and worldwide. His film, the David Dobkin-directed dramedy The Judge, a project co-produced by his production company Team Downey, was the opening film at the 2014 Toronto International Film Festival. Downey played Tony Stark again in Iron Man 3 (2013), Avengers: Age of Ultron (2015), Captain America: Civil War (2016), Spider-Man: Homecoming (2017), Avengers: Infinity War (2018), and Avengers: Endgame (2019). Three of his scenes from The Avengers and Avengers: Endgame were used as archive footage in the first episode of the Disney+ series Loki. Downey hosted The Age of A.I., a YouTube documentary series released in 2019."]], "0_corpus": "wikipedia", "1_conv_id": "3fcf804d7a854752a6e65b80719a413b", "1_model_name": "intfloat/e5-mistral-7b-instruct", "1_prompt": "who is robert downey jr", "1_output": [["who is robert downey jr", "Robert Downey Jr.\n\nRobert John Downey Jr. (born April 4, 1965) is an American actor. His films as a leading actor have grossed over $14 billion worldwide, making him one of the highest-grossing actors of all time. Downey's career has been characterized by some early success, a period of drug-related problems and run-ins with the law, and a surge in popular and commercial success in the late 2000s. In 2008, Downey was named by Time magazine as one of the 100 most influential people in the world. From 2013 to 2015, he was listed by Forbes as Hollywood's highest-paid actor."]], "1_corpus": "wikipedia"}
 {"tstamp": 1723442695.6853, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "79acb198dc674b458253fc693b5e9ed6", "0_model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "0_prompt": "can AI destroy the universe in future", "0_output": [["can AI destroy the universe in future", "Artificial intelligence\n\nFrom the early days of the development of artificial intelligence, there have been arguments, for example, those put forward by Joseph Weizenbaum, about whether tasks that can be done by computers actually should be done by them, given the difference between computers and humans, and between quantitative calculation and qualitative, value-based judgement.\nExistential risk\nIt has been argued AI will become so powerful that humanity may irreversibly lose control of it. This could, as physicist Stephen Hawking stated, \"spell the end of the human race\". This scenario has been common in science fiction, when a computer or robot suddenly develops a human-like \"self-awareness\" (or \"sentience\" or \"consciousness\") and becomes a malevolent character. These sci-fi scenarios are misleading in several ways.\nFirst, AI does not require human-like \"sentience\" to be an existential risk. Modern AI programs are given specific goals and use learning and intelligence to achieve them. Philosopher Nick Bostrom argued that if one gives almost any goal to a sufficiently powerful AI, it may choose to destroy humanity to achieve it (he used the example of a paperclip factory manager). Stuart Russell gives the example of household robot that tries to find a way to kill its owner to prevent it from being unplugged, reasoning that \"you can't fetch the coffee if you're dead.\" In order to be safe for humanity, a superintelligence would have to be genuinely aligned with humanity's morality and values so that it is \"fundamentally on our side\"."]], "0_corpus": "wikipedia", "1_conv_id": "d0fdb7a14c1a43f6a5f2ceb073df8eb2", "1_model_name": "jinaai/jina-embeddings-v2-base-en", "1_prompt": "can AI destroy the universe in future", "1_output": [["can AI destroy the universe in future", "Future of an expanding universe\n\nIf the current vacuum state is a false vacuum, the vacuum may decay into an even lower-energy state.\nPresumably, extreme low-energy states imply that localized quantum events become major macroscopic phenomena rather than negligible microscopic events because even the smallest perturbations make the biggest difference in this era, so there is no telling what will or might happen to space or time. It is perceived that the laws of \"macro-physics\" will break down, and the laws of quantum physics will prevail.\nThe universe could possibly avoid eternal heat death through random quantum tunneling and quantum fluctuations, given the non-zero probability of producing a new Big Bang creating a new universe in roughly  years.\nOver an infinite amount of time, there could also be a spontaneous entropy decrease, by a Poincaré recurrence or through thermal fluctuations (see also fluctuation theorem).\nMassive black dwarfs could also potentially explode into supernovae after up to , assuming protons do not decay.\nThe possibilities above are based on a simple form of dark energy. However, the physics of dark energy are still a very speculative area of research, and the actual form of dark energy could be much more complex.\nGraphical timelines\nIf protons decay:"]], "1_corpus": "wikipedia"}
+{"tstamp": 1723460104.7954, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "f5bb3effb82443e494145889ebaca6ed", "0_model_name": "Salesforce/SFR-Embedding-2_R", "0_prompt": "who is has the highest score for bash scripting answers", "0_output": [["who is has the highest score for bash scripting answers", "Meta Stackexchange\n\nQ: What is the highest upvoted comment on the Trilogy? This answer has a comment by Pesto  which right now is at +91. I am curious as to whether or not there is anything higher than +91 in terms of comments on StackOverflow.\n\nA: Here is a SEDE query that searches for the highest-scoring comments on a given site. Since it's SEDE, it ignores deleted comments (including comments on deleted posts) and may be up to two months out-of-date.\nAs things stand (Sep. 2011), the top voted comment on SO with a score of 1215 is:\n\n\"sigh . . ...... :<\" -Jimmy\n\nOn SU, with a score of 328:\n\n\"Knowing the answer makes me feel so old...\" –Joe\n\nOn SF, with a score of 190:\n\n\"You have two weeks to deliver him the information, and it takes two weeks to move to somewhere else who can process credit cards. Don't bother - make the decision to move now and abandon the audit.\" –Scrivener\n\nOn Meta, with a score of 353:\n\n\"Who the hell is Jon Skeet?\" –thenduks\n\n"]], "0_corpus": "stackexchange", "1_conv_id": "fb800a9f8e1840549a1b94669fd125c4", "1_model_name": "mixedbread-ai/mxbai-embed-large-v1", "1_prompt": "who is has the highest score for bash scripting answers", "1_output": [["who is has the highest score for bash scripting answers", "Unix Stackexchange\n\nQ: How to get top 5 most ram intensive applications from Bash? So I look at avaliable to me servers load\n \nand see that some other user has created some really ram intensive app that kills my server hosting abileties. I wonder what is bash command to get top 5 most ram using applications n my server. How would such command look like? \n\nA: You can use ps:\nps axo pid,args,pmem,rss,vsz --sort -pmem,-rss,-vsz | head -n 5\n\n"]], "1_corpus": "stackexchange"}
+{"tstamp": 1723460186.3545, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "a8be45cbe01c42a39c5e2b4d19797867", "0_model_name": "intfloat/multilingual-e5-large-instruct", "0_prompt": "who has the most upvotes for answers to bash related questions", "0_output": [["who has the most upvotes for answers to bash related questions", "Meta Stackexchange\n\nQ: Who gets the most reputation per keystroke on SO? Who are the top 50 users who gain the most rep per keystroke on SO, including CC-Wiki and Closed questions? (excluding users with a reputation lower than 5000)\n\nA: Ok - now you can browse the top results on DataExplorer: http://odata.stackexchange.com/stackoverflow/q/4417/\n(converted from an old StatOverflow query, added waffle's coalesce suggestion during the conversion to SQLServer-flavored SQL)\n"]], "0_corpus": "stackexchange", "1_conv_id": "0bd89031d103438ab15c3386a1f08505", "1_model_name": "GritLM/GritLM-7B", "1_prompt": "who has the most upvotes for answers to bash related questions", "1_output": [["who has the most upvotes for answers to bash related questions", "Superuser Stackexchange\n\nQ: Bash Shell Tutorials What are some good bash tutorials? I would like to learn more about the bash shells commands and how to use them.\n\nA: I find Greg's Bash Guide and Bash FAQ very helpful, even for beginners.\nAlso, I remember learning bash from Daniel Robbins' series, Bash by example, which is a very good read in my opinion.\n"]], "1_corpus": "stackexchange"}

data/retrieval_individual-35e094d9-c3d4-447e-b2f4-7dd3f5d1d585.jsonl

@@ -245,3 +245,5 @@
 {"tstamp": 1723442681.8927, "task_type": "retrieval", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1723442679.647, "finish": 1723442681.8927, "ip": "", "conv_id": "d0fdb7a14c1a43f6a5f2ceb073df8eb2", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": "can AI destroy the universe in future", "output": [["can AI destroy the universe in future", "Future of an expanding universe\n\nIf the current vacuum state is a false vacuum, the vacuum may decay into an even lower-energy state.\nPresumably, extreme low-energy states imply that localized quantum events become major macroscopic phenomena rather than negligible microscopic events because even the smallest perturbations make the biggest difference in this era, so there is no telling what will or might happen to space or time. It is perceived that the laws of \"macro-physics\" will break down, and the laws of quantum physics will prevail.\nThe universe could possibly avoid eternal heat death through random quantum tunneling and quantum fluctuations, given the non-zero probability of producing a new Big Bang creating a new universe in roughly  years.\nOver an infinite amount of time, there could also be a spontaneous entropy decrease, by a Poincaré recurrence or through thermal fluctuations (see also fluctuation theorem).\nMassive black dwarfs could also potentially explode into supernovae after up to , assuming protons do not decay.\nThe possibilities above are based on a simple form of dark energy. However, the physics of dark energy are still a very speculative area of research, and the actual form of dark energy could be much more complex.\nGraphical timelines\nIf protons decay:"]], "corpus": "wikipedia"}
 {"tstamp": 1723460069.837, "task_type": "retrieval", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1723460067.5569, "finish": 1723460069.837, "ip": "", "conv_id": "f5bb3effb82443e494145889ebaca6ed", "model_name": "Salesforce/SFR-Embedding-2_R", "prompt": "who is has the highest score for bash scripting answers", "output": [["who is has the highest score for bash scripting answers", "Meta Stackexchange\n\nQ: What is the highest upvoted comment on the Trilogy? This answer has a comment by Pesto  which right now is at +91. I am curious as to whether or not there is anything higher than +91 in terms of comments on StackOverflow.\n\nA: Here is a SEDE query that searches for the highest-scoring comments on a given site. Since it's SEDE, it ignores deleted comments (including comments on deleted posts) and may be up to two months out-of-date.\nAs things stand (Sep. 2011), the top voted comment on SO with a score of 1215 is:\n\n\"sigh . . ...... :<\" -Jimmy\n\nOn SU, with a score of 328:\n\n\"Knowing the answer makes me feel so old...\" –Joe\n\nOn SF, with a score of 190:\n\n\"You have two weeks to deliver him the information, and it takes two weeks to move to somewhere else who can process credit cards. Don't bother - make the decision to move now and abandon the audit.\" –Scrivener\n\nOn Meta, with a score of 353:\n\n\"Who the hell is Jon Skeet?\" –thenduks\n\n"]], "corpus": "stackexchange"}
 {"tstamp": 1723460069.837, "task_type": "retrieval", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1723460067.5569, "finish": 1723460069.837, "ip": "", "conv_id": "fb800a9f8e1840549a1b94669fd125c4", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "prompt": "who is has the highest score for bash scripting answers", "output": [["who is has the highest score for bash scripting answers", "Unix Stackexchange\n\nQ: How to get top 5 most ram intensive applications from Bash? So I look at avaliable to me servers load\n \nand see that some other user has created some really ram intensive app that kills my server hosting abileties. I wonder what is bash command to get top 5 most ram using applications n my server. How would such command look like? \n\nA: You can use ps:\nps axo pid,args,pmem,rss,vsz --sort -pmem,-rss,-vsz | head -n 5\n\n"]], "corpus": "stackexchange"}
+{"tstamp": 1723460144.8007, "task_type": "retrieval", "type": "chat", "model": "intfloat/multilingual-e5-large-instruct", "gen_params": {}, "start": 1723460142.6273, "finish": 1723460144.8007, "ip": "", "conv_id": "a8be45cbe01c42a39c5e2b4d19797867", "model_name": "intfloat/multilingual-e5-large-instruct", "prompt": "who has the most upvotes for answers to bash related questions", "output": [["who has the most upvotes for answers to bash related questions", "Meta Stackexchange\n\nQ: Who gets the most reputation per keystroke on SO? Who are the top 50 users who gain the most rep per keystroke on SO, including CC-Wiki and Closed questions? (excluding users with a reputation lower than 5000)\n\nA: Ok - now you can browse the top results on DataExplorer: http://odata.stackexchange.com/stackoverflow/q/4417/\n(converted from an old StatOverflow query, added waffle's coalesce suggestion during the conversion to SQLServer-flavored SQL)\n"]], "corpus": "stackexchange"}
+{"tstamp": 1723460144.8007, "task_type": "retrieval", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1723460142.6273, "finish": 1723460144.8007, "ip": "", "conv_id": "0bd89031d103438ab15c3386a1f08505", "model_name": "GritLM/GritLM-7B", "prompt": "who has the most upvotes for answers to bash related questions", "output": [["who has the most upvotes for answers to bash related questions", "Superuser Stackexchange\n\nQ: Bash Shell Tutorials What are some good bash tutorials? I would like to learn more about the bash shells commands and how to use them.\n\nA: I find Greg's Bash Guide and Bash FAQ very helpful, even for beginners.\nAlso, I remember learning bash from Daniel Robbins' series, Bash by example, which is a very good read in my opinion.\n"]], "corpus": "stackexchange"}