Scheduled Commit

data/clustering_individual-e1551d3d-8f3e-4765-a7e4-00a978151696.jsonl

@@ -22,3 +22,5 @@
 {"tstamp": 1724977545.0796, "task_type": "clustering", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1724977545.0154, "finish": 1724977545.0796, "ip": "", "conv_id": "b8a9ffb43f3744b0a25694717fefdc01", "model_name": "GritLM/GritLM-7B", "prompt": ["hi", "dairy", "vegetable", "crop", "poultry", "mixed", "fascism", "conservatism", "communism", "socialism", "thriller", "historical fiction", "horror", "mystery"], "ncluster": 3, "output": "", "ndim": "3D", "dim_method": "PCA", "clustering_method": "KMeans"}
 {"tstamp": 1725108043.9108, "task_type": "clustering", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1725108043.819, "finish": 1725108043.9108, "ip": "", "conv_id": "130de3bce97e4a38a18b013b6a91b36d", "model_name": "Salesforce/SFR-Embedding-2_R", "prompt": ["flats", "high heels", "sandals", "boots", "Renaissance", "Abstract Expressionism", "Surrealism", "Impressionism", "Baroque", "marker", "pen"], "ncluster": 3, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
 {"tstamp": 1725108043.9108, "task_type": "clustering", "type": "chat", "model": "intfloat/multilingual-e5-large-instruct", "gen_params": {}, "start": 1725108043.819, "finish": 1725108043.9108, "ip": "", "conv_id": "ed8b0c7c6695400fa23d7f1137ba91af", "model_name": "intfloat/multilingual-e5-large-instruct", "prompt": ["flats", "high heels", "sandals", "boots", "Renaissance", "Abstract Expressionism", "Surrealism", "Impressionism", "Baroque", "marker", "pen"], "ncluster": 3, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
+{"tstamp": 1725115557.0555, "task_type": "clustering", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1725115556.848, "finish": 1725115557.0555, "ip": "", "conv_id": "328a9d41c6b24878b63128effc2c3766", "model_name": "Salesforce/SFR-Embedding-2_R", "prompt": ["Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco"], "ncluster": 2, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
+{"tstamp": 1725115557.0555, "task_type": "clustering", "type": "chat", "model": "embed-english-v3.0", "gen_params": {}, "start": 1725115556.848, "finish": 1725115557.0555, "ip": "", "conv_id": "9612d0c3a9fb4b69908abf5df3267177", "model_name": "embed-english-v3.0", "prompt": ["Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco"], "ncluster": 2, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}

data/retrieval_battle-e1551d3d-8f3e-4765-a7e4-00a978151696.jsonl

@@ -79,3 +79,4 @@
 {"tstamp": 1725078053.0496, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "6cccd39881bd44b9a613edb378f9a3b3", "0_model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "0_prompt": "Who was the lead artist on warcraft 3", "0_output": [["Who was the lead artist on warcraft 3", "Chris Metzen\n\nMetzen was the Senior Vice President of Story and Franchise Development at Blizzard Entertainment and assisted the company's projects by providing voice talent for a number of characters, most notably the orc character Thrall, as well as contributing to artistic character design. Metzen retired in September 2016 to spend more time with his family, but returned to the company as a creative advisor in December 2022. He was made the executive creative director of Warcraft in September 2023.\nIn his most recent work, Metzen co-authored graphic novels, Transformers: Autocracy and Transformers Monstrosity with author Flint Dille and artist Livio Ramondelli.\nCareer\nMetzen began his career in design after applying to Blizzard Entertainment, then known as Chaos Studios, on the recommendation of a friend who had seen his work. He was quickly recruited by the company, although Metzen states that at the time he did not really know what Blizzard Entertainment dealt with, assuming it was a graphic design studio rather than a video game developer.\nMetzen's first work for the company was with the game Justice League Task Force, in which he provided artwork and character animation. Around the same time, Metzen also contributed to 1994's Warcraft: Orcs and Humans by working on artwork, illustrations and the game's documentation. Later video games by Blizzard Entertainment would frequently include Metzen's work in manual design, illustration and concept art. However, Metzen's role in developing later Warcraft games increased significantly with 1995's Warcraft II: Tides of Darkness, which gave him the opportunity to work on the game's fantasy-based fictional universe in addition to designing the game's various scenarios and missions."]], "0_corpus": "wikipedia", "1_conv_id": "ff75b8facdad4824bf379f80eacc2884", "1_model_name": "mixedbread-ai/mxbai-embed-large-v1", "1_prompt": "Who was the lead artist on warcraft 3", "1_output": [["Who was the lead artist on warcraft 3", "Warcraft III: Reign of Chaos\n\nThe shift towards a more cartoonish looking world that started with Warcraft III was continued in World of Warcraft which deliberately used less realistic depictions to allow the game to be played on less powerful PCs, thus increasing the potential player-base.The artwork of Warcraft III was hugely influential on a number of other high fantasy real-time strategy games that followed it. Audio\nMost of the music of Warcraft III was composed by Tracy W. Bush, Derek Duke, Jason Hayes, and Glenn Stafford. The Limited Edition of Reign of Chaos came with much of the orchestral music on a separate CD. Each of the four playable races has different music: monastic music for the humans; ambient and Native American-sounding music for the Night Elves; warlike music for the Orcs; and fast, haunting music for the Undead. One of the signatures of Blizzard games are the unit quotes: If a single unit is clicked four or more times in a row, the unit's voice samples become increasingly comical. The unit may start getting angry at the player, or make allusions and references to other games, film or jokes. "]], "1_corpus": "wikipedia"}
 {"tstamp": 1725078125.0808, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "5e04bb9c5ab7423c8c502ee4c4e36b1b", "0_model_name": "BM25", "0_prompt": "Who was the first Mexican heavyweight boxing champion?", "0_output": [["Who was the first Mexican heavyweight boxing champion?", "CMLL World Heavyweight Championship\n\nThe CMLL World Heavyweight Championship () is a men's professional wrestling world heavyweight championship created and promoted by the Mexican (lucha libre) promotion  (CMLL). It was introduced in 1991 to signal CMLL's independence from the National Wrestling Alliance (NWA), as CMLL had left the NWA in the late 1980s but had continued to promote the NWA's championships. As part of the move away from the NWA, CMLL established championships designated as \"CMLL World Championships\" for several weight divisions. The Heavyweight Championship was the first CMLL title to be created, and the inaugural champion was Konnan el Bárbaro, who won the title on June 9, 1991. The current champion is Gran Guerrero, who is in his first reign. He defeated Hechicero on November 7, 2022. Eighteen different wrestlers have held the championship, split over 22 separate championship reigns.\nIn most professional wrestling promotions around the world, the \"world heavyweight\" designation is used to indicate the highest-ranking championship instead of an actual weight division. Traditionally, however, lucha libre has used multiple weight divisions, often with the lower weight classes receiving more attention from the promoters. CMLL carries on this tradition.\nHistory\nThe Mexican professional wrestling promotion Empresa Mexicana de Lucha Libre (EMLL) was founded in 1933 and initially recognized a series of \"Mexican National\" wrestling championships, endorsed by the Comisión de Box y Lucha Libre Mexico D.F. (Mexico City Boxing and Wrestling Commission). The Mexican National Heavyweight Championship was created in 1926, and over time, EMLL began promoting matches for that championship with the approval and oversight of the wrestling commission. In the 1950s, EMLL became a member of the National Wrestling Alliance (NWA), recognized the NWA World Heavyweight Championship as the highest ranking championship, and began promoting title matches for the NWA in Mexico on occasion."]], "0_corpus": "wikipedia", "1_conv_id": "246130fea0804a5b9a41cb4ba8e368d3", "1_model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "1_prompt": "Who was the first Mexican heavyweight boxing champion?", "1_output": [["Who was the first Mexican heavyweight boxing champion?", "Andy Ruiz Jr.\n\nAndrés Ponce Ruiz Jr. (born September 11, 1989) is a Mexican-American professional boxer. He is a former unified world heavyweight champion, having held the World Boxing Association (WBA) (Super version), International Boxing Federation (IBF), and World Boxing Organization (WBO) titles in 2019. He also held the International Boxing Organization (IBO) title during that reign.\nEarly life\nRuiz was born in Imperial, California; his parents had emigrated from Mexico to the U.S. His father is a former construction worker who started his own business flipping houses. Ruiz had a passion for baseball before his father got him into boxing; he has noted that his first fight was at age seven in San Diego. Ruiz later worked for his father in construction for a time before deciding to become a full-time boxer and starting his amateur career in Mexico. His grandfather owned a boxing gym in Mexicali that was used by featherweight champion Jorge Páez. Ruiz has explained that his nickname, 'Destroyer', was acquired before he started boxing, because as a child, \"I was always destroying stuff.\""]], "1_corpus": "wikipedia"}
 {"tstamp": 1725078170.8829, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "47bed2abf921449e98326a5fd8113b9e", "0_model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "0_prompt": "Is onion bad for dogs ", "0_output": [["Is onion bad for dogs ", "Dog health\n\nOnions Onions cause hemolytic anemia in dogs and cats. Allyl propyl disulfide has been reported as being considered to be the main cause of onion poisoning in dogs.  Alkyl thiosulfate and N-propyl disulfide have also been implicated. Thiosulfate levels are not affected by cooking or processing. Occasional exposure to small amounts is usually not a problem, but continuous exposure to even small amounts can be a serious threat.\nPlants in the genus Allium (onions, scallions, garlic, leek, chives, etc.) in general contain varying levels of organosulfoxides compounds including the two mentioned above. These chemicals are responsible for their signature spicyness, but also causes oxidative damage to red blood cells of dogs and cats. Poisoning have been reported from many such plants, with symptoms ranging from diarrhea and vomiting to pale gums and hemolysis.\nNutmeg\nNutmeg is highly neurotoxic to dogs and causes seizures, tremors, and nervous system disorders which can be fatal.  Nutmeg's rich, spicy scent is attractive to dogs which can result in a dog ingesting a lethal amount of this spice. Eggnog and other food preparations which contain nutmeg should not be given to dogs.\nMacadamia nuts\nMacadamia nuts can cause non-fatal stiffness, tremors, hyperthermia, and abdominal pain. The exact mechanism is not known. Most dogs recover with supportive care when the source of exposure is removed."]], "0_corpus": "wikipedia", "1_conv_id": "c8d2478a17af4aabb10c90dc0880bfcd", "1_model_name": "intfloat/e5-mistral-7b-instruct", "1_prompt": "Is onion bad for dogs ", "1_output": [["Is onion bad for dogs ", "Onion\n\nEye irritation can be avoided by cutting onions under running water or submerged in a basin of water. Leaving the root end intact also reduces irritation as the onion base has a higher concentration of sulphur compounds than the rest of the bulb.\nThe amount of sulfenic acids and lacrimal factor released and the irritation effect differs among Allium species. In 2008, the New Zealand Institute for Crop and Food Research created \"no tears\" onions by genetic modification to prevent the synthesis of lachrymatory factor synthase in onions. One study suggests that consumers prefer the flavour of onions with lower LFS content. Since the process impedes sulfur ingestion by the plant, some find LFS− onions inferior in flavour.\nA method for efficiently differentiating LFS− and LFS+ onions has been developed based on mass spectrometry, with potential application in high-volume production; gas chromatography is also used to measure lachrymatory factor in onions. In early 2018, Bayer released the first crop yield of commercially available LFS-silenced onions under the name \"Sunions\". They were the product of 30 years of cross-breeding; genetic modification was not employed.\nGuinea hen weed and honey garlic contain a similar lachrymatory factor. Synthetic onion lachrymatory factor has been used in a study related to tear production, and has been proposed as a nonlethal deterrent against thieves and intruders.\nToxicity to animals\nOnions are toxic to dogs, cats, guinea pigs, and many other animals."]], "1_corpus": "wikipedia"}
+{"tstamp": 1725115527.5413, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "d0f2706bc7d543bcbaf090c7c06e44d8", "0_model_name": "Salesforce/SFR-Embedding-2_R", "0_prompt": "HAHHAHA, do you have any idea?", "0_output": [["HAHHAHA, do you have any idea?", "LOL\n\nLOL, or lol, is an initialism for laughing out loud, and a popular element of Internet slang, which can be used to indicate amusement, irony, or double meanings. It was first used almost exclusively on Usenet, but has since become widespread in other forms of computer-mediated communication and even face-to-face communication. It is one of many initialisms for expressing bodily reactions, in particular laughter, as text, including initialisms for more emphatic expressions of laughter such as LMAO (\"laughing my ass off\") and ROFL or ROTFL (\"rolling on the floor laughing\").\nIn 2003, the list of acronyms was said to \"grow by the month\", and they were collected along with emoticons and smileys into folk dictionaries that are circulated informally amongst users of Usenet, IRC, and other forms of (textual) computer-mediated communication. These initialisms are controversial, and several authors recommend against their use, either in general or in specific contexts such as business communications. The Oxford English Dictionary first listed LOL in March 2011.\nHistory\nIn the 1980s, Wayne Pearson was reportedly the first person to have used LOL while responding to a friend's joke in a pre-Internet digital chat room called Viewline. Instead of writing \"hahaha,\" as he had done before when he found something humorous, Pearson instead typed \"LOL\" to symbolize extreme laughter."]], "0_corpus": "wikipedia", "1_conv_id": "a9cd65673389427db0f4ec855e99b936", "1_model_name": "jinaai/jina-embeddings-v2-base-en", "1_prompt": "HAHHAHA, do you have any idea?", "1_output": [["HAHHAHA, do you have any idea?", "Do I Wanna Know?\n\n\"Do I Wanna Know?\" is a song by English rock band Arctic Monkeys, with lyrics written by frontman Alex Turner. It was released on 19 June 2013 by Domino Recording Company as the second single from their fifth studio album, AM (2013). It received a digital download release through iTunes as well as an accompanying music video. Before its release as a single, the song was premiered by the band live in May 2013 on the AM Tour, where it was often played as the opening number. It is an indie rock, psychedelic rock, stoner rock, blues rock and alternative rock song, and is built around a stomping guitar riff.\n\"Do I Wanna Know?\" peaked at number 11 in the UK Singles Chart, charted in several other countries and was the first Arctic Monkeys song to have ever entered the Billboard Hot 100 chart in the United States, peaking at number 70 in March 2014 and also serving as their \"big breakthrough moment\" in the US. The song was nominated for Best Rock Performance at the 57th Annual Grammy Awards in 2015. In December 2019, the song was ranked number three on Guitar Worlds list of the 20 best guitar riffs of the decade. The song has accumulated about two billion streams on Spotify and ranks in the 100 most-streamed songs in the streaming platform's history, and its music video has earned 1.6 billion views on YouTube."]], "1_corpus": "wikipedia"}

data/retrieval_individual-e1551d3d-8f3e-4765-a7e4-00a978151696.jsonl

@@ -248,3 +248,5 @@
 {"tstamp": 1725078156.1244, "task_type": "retrieval", "type": "chat", "model": "intfloat/e5-mistral-7b-instruct", "gen_params": {}, "start": 1725078153.835, "finish": 1725078156.1244, "ip": "", "conv_id": "c8d2478a17af4aabb10c90dc0880bfcd", "model_name": "intfloat/e5-mistral-7b-instruct", "prompt": "Is onion bad for dogs ", "output": [["Is onion bad for dogs ", "Onion\n\nEye irritation can be avoided by cutting onions under running water or submerged in a basin of water. Leaving the root end intact also reduces irritation as the onion base has a higher concentration of sulphur compounds than the rest of the bulb.\nThe amount of sulfenic acids and lacrimal factor released and the irritation effect differs among Allium species. In 2008, the New Zealand Institute for Crop and Food Research created \"no tears\" onions by genetic modification to prevent the synthesis of lachrymatory factor synthase in onions. One study suggests that consumers prefer the flavour of onions with lower LFS content. Since the process impedes sulfur ingestion by the plant, some find LFS− onions inferior in flavour.\nA method for efficiently differentiating LFS− and LFS+ onions has been developed based on mass spectrometry, with potential application in high-volume production; gas chromatography is also used to measure lachrymatory factor in onions. In early 2018, Bayer released the first crop yield of commercially available LFS-silenced onions under the name \"Sunions\". They were the product of 30 years of cross-breeding; genetic modification was not employed.\nGuinea hen weed and honey garlic contain a similar lachrymatory factor. Synthetic onion lachrymatory factor has been used in a study related to tear production, and has been proposed as a nonlethal deterrent against thieves and intruders.\nToxicity to animals\nOnions are toxic to dogs, cats, guinea pigs, and many other animals."]], "corpus": "wikipedia"}
 {"tstamp": 1725107959.0951, "task_type": "retrieval", "type": "chat", "model": "text-embedding-3-large", "gen_params": {}, "start": 1725107956.6264, "finish": 1725107959.0951, "ip": "", "conv_id": "5ab82a5b717b4a81bc59c78854e2eff6", "model_name": "text-embedding-3-large", "prompt": "Study comparing textual analysis and traditional market data for financial predictions.", "output": [["Study comparing textual analysis and traditional market data for financial predictions.", "Title: Stock Market Analysis with Text Data: A Review\n\nAbstract: Stock market movements are influenced by public and private information shared through news articles, company reports, and social media discussions. Analyzing these vast sources of data can give market participants an edge to make profit. However, the majority of the studies in the literature are based on traditional approaches that come short in analyzing unstructured, vast textual data. In this study, we provide a review on the immense amount of existing literature of text-based stock market analysis. We present input data types and cover main textual data sources and variations. Feature representation techniques are then presented. Then, we cover the analysis techniques and create a taxonomy of the main stock market forecast models. Importantly, we discuss representative work in each category of the taxonomy, analyzing their respective contributions. Finally, this paper shows the findings on unaddressed open problems and gives suggestions for future work. The aim of this study is to survey the main stock market analysis models, text representation techniques for financial market prediction, shortcomings of existing techniques, and propose promising directions for future research."]], "corpus": "arxiv"}
 {"tstamp": 1725107959.0951, "task_type": "retrieval", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1725107956.6264, "finish": 1725107959.0951, "ip": "", "conv_id": "e9386cd4c7a447fb9825b7fac3a18b82", "model_name": "GritLM/GritLM-7B", "prompt": "Study comparing textual analysis and traditional market data for financial predictions.", "output": [["Study comparing textual analysis and traditional market data for financial predictions.", "Title: Assessing Text Mining and Technical Analyses on Forecasting Financial Time Series\n\nAbstract: Forecasting financial time series (FTS) is an essential field in finance and economics that anticipates market movements in financial markets. This paper investigates the accuracy of text mining and technical analyses in forecasting financial time series. It focuses on the S&P500 stock market index during the pandemic, which tracks the performance of the largest publicly traded companies in the US. The study compares two methods of forecasting the future price of the S&P500: text mining, which uses NLP techniques to extract meaningful insights from financial news, and technical analysis, which uses historical price and volume data to make predictions. The study examines the advantages and limitations of both methods and analyze their performance in predicting the S&P500. The FinBERT model outperforms other models in terms of S&P500 price prediction, as evidenced by its lower RMSE value, and has the potential to revolutionize financial analysis and prediction using financial news data. Keywords: ARIMA, BERT, FinBERT, Forecasting Financial Time Series, GARCH, LSTM, Technical Analysis, Text Mining JEL classifications: G4, C8"]], "corpus": "arxiv"}
+{"tstamp": 1725115503.5591, "task_type": "retrieval", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1725115501.1918, "finish": 1725115503.5591, "ip": "", "conv_id": "d0f2706bc7d543bcbaf090c7c06e44d8", "model_name": "Salesforce/SFR-Embedding-2_R", "prompt": "HAHHAHA, do you have any idea?", "output": [["HAHHAHA, do you have any idea?", "LOL\n\nLOL, or lol, is an initialism for laughing out loud, and a popular element of Internet slang, which can be used to indicate amusement, irony, or double meanings. It was first used almost exclusively on Usenet, but has since become widespread in other forms of computer-mediated communication and even face-to-face communication. It is one of many initialisms for expressing bodily reactions, in particular laughter, as text, including initialisms for more emphatic expressions of laughter such as LMAO (\"laughing my ass off\") and ROFL or ROTFL (\"rolling on the floor laughing\").\nIn 2003, the list of acronyms was said to \"grow by the month\", and they were collected along with emoticons and smileys into folk dictionaries that are circulated informally amongst users of Usenet, IRC, and other forms of (textual) computer-mediated communication. These initialisms are controversial, and several authors recommend against their use, either in general or in specific contexts such as business communications. The Oxford English Dictionary first listed LOL in March 2011.\nHistory\nIn the 1980s, Wayne Pearson was reportedly the first person to have used LOL while responding to a friend's joke in a pre-Internet digital chat room called Viewline. Instead of writing \"hahaha,\" as he had done before when he found something humorous, Pearson instead typed \"LOL\" to symbolize extreme laughter."]], "corpus": "wikipedia"}
+{"tstamp": 1725115503.5591, "task_type": "retrieval", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1725115501.1918, "finish": 1725115503.5591, "ip": "", "conv_id": "a9cd65673389427db0f4ec855e99b936", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": "HAHHAHA, do you have any idea?", "output": [["HAHHAHA, do you have any idea?", "Do I Wanna Know?\n\n\"Do I Wanna Know?\" is a song by English rock band Arctic Monkeys, with lyrics written by frontman Alex Turner. It was released on 19 June 2013 by Domino Recording Company as the second single from their fifth studio album, AM (2013). It received a digital download release through iTunes as well as an accompanying music video. Before its release as a single, the song was premiered by the band live in May 2013 on the AM Tour, where it was often played as the opening number. It is an indie rock, psychedelic rock, stoner rock, blues rock and alternative rock song, and is built around a stomping guitar riff.\n\"Do I Wanna Know?\" peaked at number 11 in the UK Singles Chart, charted in several other countries and was the first Arctic Monkeys song to have ever entered the Billboard Hot 100 chart in the United States, peaking at number 70 in March 2014 and also serving as their \"big breakthrough moment\" in the US. The song was nominated for Best Rock Performance at the 57th Annual Grammy Awards in 2015. In December 2019, the song was ranked number three on Guitar Worlds list of the 20 best guitar riffs of the decade. The song has accumulated about two billion streams on Spotify and ranks in the 100 most-streamed songs in the streaming platform's history, and its music video has earned 1.6 billion views on YouTube."]], "corpus": "wikipedia"}