Scheduled Commit

data/retrieval_battle-76065722-116b-41cc-961b-aebfed552f79.jsonl

@@ -153,3 +153,4 @@
 {"tstamp": 1727879998.1101, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "b28a1d3848a44d31b0b4e3299306b4a5", "0_model_name": "text-embedding-004", "0_prompt": "kapan perang uhud terjadi?", "0_output": [["kapan perang uhud terjadi?", "Battle of Uhud\n\nThe Battle of Uhud was fought between the early Muslims and the Quraysh during the Muslim–Quraysh wars in a valley north of Mount Uhud near Medina on Saturday, 23 March 625 AD (7 Shawwal, 3 AH).\nAfter suffering defeat at the Battle of Badr and having their caravans endlessly raided by the Muslims, the Quraysh finally saw the necessity to take strong measures. Their chief, Abu Sufyan, then set out for Medina with 3,000 troops to confront Muhammad."]], "0_corpus": "wikipedia", "1_conv_id": "f648410fc2aa4ce5b02af5f446e7a4d2", "1_model_name": "voyage-multilingual-2", "1_prompt": "kapan perang uhud terjadi?", "1_output": [["kapan perang uhud terjadi?", "Battle of Uhud\n\nThe Battle of Uhud was fought between the early Muslims and the Quraysh during the Muslim–Quraysh wars in a valley north of Mount Uhud near Medina on Saturday, 23 March 625 AD (7 Shawwal, 3 AH).\nAfter suffering defeat at the Battle of Badr and having their caravans endlessly raided by the Muslims, the Quraysh finally saw the necessity to take strong measures. Their chief, Abu Sufyan, then set out for Medina with 3,000 troops to confront Muhammad."]], "1_corpus": "wikipedia"}
 {"tstamp": 1727880242.1969, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "b129abd9dbd4454296cd771cabb6f935", "0_model_name": "voyage-multilingual-2", "0_prompt": "What's the purpose of `if __name__ == '__main__'`?", "0_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"]], "0_corpus": "stackexchange", "1_conv_id": "583387294f354aa899ec933e850f9008", "1_model_name": "intfloat/multilingual-e5-large-instruct", "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's the point of a main function and/or __name__ == \"__main__\" check in Python? I occasionally notice something like the following in Python scripts:\nif __name__ == \"__main__\":\n    # do stuff like call main()\n\nWhat's the point of this?\n\nA: This allows a python script to be imported or run standalone is a sane way.\nIf you run a python file directly, the __name__ variable will contain __main__. If you import the script that will not be the case. Normally, if you import the script you want to call functions or reference classes from the file.\nIf you did not have this check, any code that was not in a class or function would run when you import.\n"]], "1_corpus": "stackexchange"}
 {"tstamp": 1727929675.6491, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "bf3d1b5fb0c64c12990a50fa59c9401e", "0_model_name": "voyage-multilingual-2", "0_prompt": "Who did the majority of game programming for WingNuts 2?", "0_output": [["Who did the majority of game programming for WingNuts 2?", "Wing Commander (video game)\n\nDevelopment Wing Commander was originally titled Squadron and later renamed Wingleader. During development for Wing Commander, the EMM386 memory manager the game used would give an exception when the user exited the game. It would print out a message similar to \"EMM386 Memory manager error...\" with additional information. Before the team could isolate and fix the error and they considered a work-around, one of the game's programmers, Ken Demarest, hex-edited the memory manager so it displayed a different message. Instead of the error message, it printed \"Thank you for playing Wing Commander\".\nThis workaround was removed before shipping the game, once the problem was fixed.\nRelease\nWing Commander shipped in 1990 for PC/DOS as the initial platform and came with an instruction booklet styled as a shipboard magazine, Claw Marks. It provided tactical suggestions, statistics on fighters and weapons both Kilrathi and Terran, capsule biographies of notable pilots on both sides of the line, and general shipboard news (such as the discontinuation of the popular comic strip Hornet's Nest, due to the recent death of its artist, Lt. Larry \"Tooner\" Dibbles). Notable contributors to the Claw Marks magazine include Captain Aaron Allston, Major Warren Spector, and Col. Chris Roberts. The game also shipped with a set of blueprints for the game's four playable fighters, the Hornet, Scimitar, Rapier, and Raptor."]], "0_corpus": "wikipedia", "1_conv_id": "9b3ee64f24854f47a1af33d36fe464dc", "1_model_name": "BM25", "1_prompt": "Who did the majority of game programming for WingNuts 2?", "1_output": [["Who did the majority of game programming for WingNuts 2?", "Mighty Mutanimals\n\nIn the 1987 series, Wingnut (voiced by Rob Paulsen) and Screwloose (voiced by Townsend Coleman) are a pair of terrorists from the Dimension X planet Flagenon who tried to brainwash the children of their homeworld into invading Earth only to be stopped by the Turtles.\nA variation of Wingnut appeared in the video game Teenage Mutant Ninja Turtles: Mutants in Manhattan voiced by Jim Meskimen. This version is a servant of General Krang. He fights the Turtles at the top of a construction site.\nIn the 2012 series, Wingnut and Screwloose are voiced by Daran Norris and Jeff Bennett respectively. They are superhero characters from Michelangelo's comic book who were brought to life by a fragment of the Aeon's mystical Sol Star.\nA genderbent version of Wingnut appears in the 2023 film Teenage Mutant Ninja Turtles: Mutant Mayhem, voiced by Natasia Demetriou. This version is a mutant bat who is a member of Superfly's gang. She aspires to be a superhero and is close with Donatello due to their shared love of technology. She is also seen as the nicest member as during the chase scene, she was actively warning the Turtles, rather than trying to deter them. Just like the rest of the gang, she switches over to the Turtle's side after realizing that she did not want to follow Superfly's villainy. She moves with Splinter and the Turtles and becomes part of their family."]], "1_corpus": "wikipedia"}
+{"tstamp": 1727936473.1021, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "e1d81c46e43445b39f19c39f170f94ee", "0_model_name": "mixedbread-ai/mxbai-embed-large-v1", "0_prompt": "which is a better model RoBERTa or Llama", "0_output": [["which is a better model RoBERTa or Llama", "Llama Llama (TV series)\n\nGrady Ainscough as Harold Hackney, a horse who is one of Zelda Zebra's children.\nKathleen Barr as Grandma Llama, Llama's grandmother who has a slight British accent.\nDavid Orth/David Poole as Grandpa Llama, Llama's grandfather, he speaks with a bit of an Irish accent.\nBrenden Sunderland as Euclid Sheep, a sheep who likes math/science.\nVincent Tong as Officer Flamingo, a police flamingo.\nMei Onischak as Audrey Antelope, an antelope who’s a congenital amputee as she has a prosthetic left leg and no right elbow, forearm or hand.\nVincent Tong as Daddy Gnu, Nelly's father who hires a bakery.\nKathleen Barr as Mama Gnu, Nelly's mother.\nKathleen Barr as Lenora Leopard, a leopard who works as a librarian and a musician.\nKathleen Barr/Franciska Friede as Ramona Rhino, Roland's sister.\nFranciska Friede as Hilda Hackney, a pony with a somewhat English accent and is Zelda's daughter.  Her last name comes from Hackney London.\nKathleen Barr as Eleanor Elephant, an elephant chef who speaks with a thick British accent.\nEpisodes\nSeries overview\nSeason 1 (2018)\nSeason 2 (2019)\nSeason 2 was released on November 15, 2019. Although the order below reflects the order in which the episodes are listed on Netflix, Netflix's on-screen display carries the notation \"Watch In Any Order\"."]], "0_corpus": "wikipedia", "1_conv_id": "153f555523ef46a4964c6c6631951b44", "1_model_name": "Salesforce/SFR-Embedding-2_R", "1_prompt": "which is a better model RoBERTa or Llama", "1_output": [["which is a better model RoBERTa or Llama", "Llama (language model)\n\nLlama (acronym for Large Language Model Meta AI, and formerly stylized as LLaMA) is a family of autoregressive large language models (LLMs) released by Meta AI starting in February 2023. The latest version is Llama 3, released in April 2024.\nModel weights for the first version of Llama were made available to the research community under a non-commercial license, and access was granted on a case-by-case basis. Unauthorized copies of the model were shared via BitTorrent. In response, Meta AI issued DMCA takedown requests against repositories sharing the link on GitHub. Subsequent versions of Llama were made accessible outside academia and released under licenses that permitted some commercial use. Llama models are trained at different parameter sizes, typically ranging between 7B and 70B. Originally, Llama was only available as a foundation model. Starting with Llama 2, Meta AI started releasing instruction fine-tuned versions alongside foundation models.\nAlongside the release of Llama 3, Meta added virtual assistant features to Facebook and WhatsApp in select regions, and a standalone website. Both services use a Llama 3 model."]], "1_corpus": "wikipedia"}

data/retrieval_individual-76065722-116b-41cc-961b-aebfed552f79.jsonl

@@ -705,3 +705,7 @@
 {"tstamp": 1727929651.9584, "task_type": "retrieval", "type": "chat", "model": "BM25", "gen_params": {}, "start": 1727929650.1105, "finish": 1727929651.9584, "ip": "", "conv_id": "9b3ee64f24854f47a1af33d36fe464dc", "model_name": "BM25", "prompt": "Who did the majority of game programming for WingNuts 2?", "output": [["Who did the majority of game programming for WingNuts 2?", "Mighty Mutanimals\n\nIn the 1987 series, Wingnut (voiced by Rob Paulsen) and Screwloose (voiced by Townsend Coleman) are a pair of terrorists from the Dimension X planet Flagenon who tried to brainwash the children of their homeworld into invading Earth only to be stopped by the Turtles.\nA variation of Wingnut appeared in the video game Teenage Mutant Ninja Turtles: Mutants in Manhattan voiced by Jim Meskimen. This version is a servant of General Krang. He fights the Turtles at the top of a construction site.\nIn the 2012 series, Wingnut and Screwloose are voiced by Daran Norris and Jeff Bennett respectively. They are superhero characters from Michelangelo's comic book who were brought to life by a fragment of the Aeon's mystical Sol Star.\nA genderbent version of Wingnut appears in the 2023 film Teenage Mutant Ninja Turtles: Mutant Mayhem, voiced by Natasia Demetriou. This version is a mutant bat who is a member of Superfly's gang. She aspires to be a superhero and is close with Donatello due to their shared love of technology. She is also seen as the nicest member as during the chase scene, she was actively warning the Turtles, rather than trying to deter them. Just like the rest of the gang, she switches over to the Turtle's side after realizing that she did not want to follow Superfly's villainy. She moves with Splinter and the Turtles and becomes part of their family."]], "corpus": "wikipedia"}
 {"tstamp": 1727929711.6812, "task_type": "retrieval", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1727929709.3642, "finish": 1727929711.6812, "ip": "", "conv_id": "488099e00eab4522af31a36592ddb4a1", "model_name": "text-embedding-004", "prompt": "Who did the game programming for the Mac OS X game WingNuts 2?", "output": [["Who did the game programming for the Mac OS X game WingNuts 2?", "ChipWits\n\nChipWits is a programming game for the Macintosh written by Doug Sharp and Mike Johnston and published by BrainPower software in 1984. Ports to the Apple II and Commodore 64 were published by Epyx in 1985.\nThe player uses a visual programming language to teach a virtual robot how to navigate various mazes of varying difficulty. The game straddles the line between entertainment and programming education."]], "corpus": "wikipedia"}
 {"tstamp": 1727929711.6812, "task_type": "retrieval", "type": "chat", "model": "voyage-multilingual-2", "gen_params": {}, "start": 1727929709.3642, "finish": 1727929711.6812, "ip": "", "conv_id": "3c3ede61a67b4d5997c81c92310ed037", "model_name": "voyage-multilingual-2", "prompt": "Who did the game programming for the Mac OS X game WingNuts 2?", "output": [["Who did the game programming for the Mac OS X game WingNuts 2?", "Wing Commander (video game)\n\nDevelopment Wing Commander was originally titled Squadron and later renamed Wingleader. During development for Wing Commander, the EMM386 memory manager the game used would give an exception when the user exited the game. It would print out a message similar to \"EMM386 Memory manager error...\" with additional information. Before the team could isolate and fix the error and they considered a work-around, one of the game's programmers, Ken Demarest, hex-edited the memory manager so it displayed a different message. Instead of the error message, it printed \"Thank you for playing Wing Commander\".\nThis workaround was removed before shipping the game, once the problem was fixed.\nRelease\nWing Commander shipped in 1990 for PC/DOS as the initial platform and came with an instruction booklet styled as a shipboard magazine, Claw Marks. It provided tactical suggestions, statistics on fighters and weapons both Kilrathi and Terran, capsule biographies of notable pilots on both sides of the line, and general shipboard news (such as the discontinuation of the popular comic strip Hornet's Nest, due to the recent death of its artist, Lt. Larry \"Tooner\" Dibbles). Notable contributors to the Claw Marks magazine include Captain Aaron Allston, Major Warren Spector, and Col. Chris Roberts. The game also shipped with a set of blueprints for the game's four playable fighters, the Hornet, Scimitar, Rapier, and Raptor."]], "corpus": "wikipedia"}
+{"tstamp": 1727936429.7884, "task_type": "retrieval", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1727936427.4464, "finish": 1727936429.7884, "ip": "", "conv_id": "0cb6c98a409e4d6b8cbbdf936a6cb8ae", "model_name": "Salesforce/SFR-Embedding-2_R", "prompt": "what were the worst parts of nvidia's history?", "output": [["what were the worst parts of nvidia's history?", "Nvidia\n\nPublic company Nvidia went public on January 22, 1999.  Investing in Nvidia after it had already failed to deliver on its contract turned out to be Irimajiri's best decision as Sega's president. After Irimajiri left Sega in 2000, Sega sold its Nvidia stock for $15 million.\nIn late 1999, Nvidia released the GeForce 256 (NV10), its first product expressly marketed as a GPU, which was most notable for introducing onboard transformation and lighting (T&L) to consumer-level 3D hardware. Running at 120 MHz and featuring four-pixel pipelines, it implemented advanced video acceleration, motion compensation, and hardware sub-picture alpha blending. The GeForce outperformed existing products by a wide margin.\nDue to the success of its products, Nvidia won the contract to develop the graphics hardware for Microsoft's Xbox game console, which earned Nvidia a $200 million advance. However, the project took many of its best engineers away from other projects. In the short term this did not matter, and the GeForce2 GTS shipped in the summer of 2000. In December 2000, Nvidia reached an agreement to acquire the intellectual assets of its one-time rival 3dfx, a pioneer in consumer 3D graphics technology leading the field from the mid-1990s until 2000. The acquisition process was finalized in April 2002.\nIn 2001, Standard & Poor's selected Nvidia to replace the departing Enron in the S&P 500 stock index, meaning that index funds would need to hold Nvidia shares going forward."]], "corpus": "wikipedia"}
+{"tstamp": 1727936429.7884, "task_type": "retrieval", "type": "chat", "model": "Alibaba-NLP/gte-Qwen2-7B-instruct", "gen_params": {}, "start": 1727936427.4464, "finish": 1727936429.7884, "ip": "", "conv_id": "f38d7deba7684adeb656a540e2a5f24f", "model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "prompt": "what were the worst parts of nvidia's history?", "output": [["what were the worst parts of nvidia's history?", "Nvidia\n\nDuring the late 1990s, Nvidia was one of 70 startup companies chasing the idea that graphics acceleration for video games was the path to the future.  Only two survived: Nvidia and ATI Technologies, which merged into AMD.\nNvidia initially had no name and the co-founders named all their files NV, as in \"next version\". The need to incorporate the company prompted the co-founders to review all words with those two letters.  At one point, Malachowsky and Priem wanted to call the company NVision, but that name was already taken by a manufacturer of toilet paper. Huang suggested the name Nvidia, from \"invidia\", the Latin word for \"envy\". The company's original headquarters office was in Sunnyvale, California.\nFirst graphics accelerator\nNvidia's first graphics accelerator product, the NV1, was optimized for processing quadrilateral primitives (forward texture mapping) instead of the triangle primitives preferred by its competitors. Then Microsoft introduced the DirectX platform, refused to support any other graphics software, and also announced that its graphics software (Direct3D) would support only triangles.\nNvidia also signed a contract with Sega to build the graphics chip for the Dreamcast video game console and worked on the project for a year.  Having bet on the wrong technology, Nvidia was confronted with a painful dilemma: keep working on its inferior chip for the Dreamcast even though it was already too far behind the competition, or stop working and run out of money right away."]], "corpus": "wikipedia"}
+{"tstamp": 1727936455.6814, "task_type": "retrieval", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1727936455.4711, "finish": 1727936455.6814, "ip": "", "conv_id": "e1d81c46e43445b39f19c39f170f94ee", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "prompt": "which is a better model RoBERTa or Llama", "output": [["which is a better model RoBERTa or Llama", "Llama Llama (TV series)\n\nGrady Ainscough as Harold Hackney, a horse who is one of Zelda Zebra's children.\nKathleen Barr as Grandma Llama, Llama's grandmother who has a slight British accent.\nDavid Orth/David Poole as Grandpa Llama, Llama's grandfather, he speaks with a bit of an Irish accent.\nBrenden Sunderland as Euclid Sheep, a sheep who likes math/science.\nVincent Tong as Officer Flamingo, a police flamingo.\nMei Onischak as Audrey Antelope, an antelope who’s a congenital amputee as she has a prosthetic left leg and no right elbow, forearm or hand.\nVincent Tong as Daddy Gnu, Nelly's father who hires a bakery.\nKathleen Barr as Mama Gnu, Nelly's mother.\nKathleen Barr as Lenora Leopard, a leopard who works as a librarian and a musician.\nKathleen Barr/Franciska Friede as Ramona Rhino, Roland's sister.\nFranciska Friede as Hilda Hackney, a pony with a somewhat English accent and is Zelda's daughter.  Her last name comes from Hackney London.\nKathleen Barr as Eleanor Elephant, an elephant chef who speaks with a thick British accent.\nEpisodes\nSeries overview\nSeason 1 (2018)\nSeason 2 (2019)\nSeason 2 was released on November 15, 2019. Although the order below reflects the order in which the episodes are listed on Netflix, Netflix's on-screen display carries the notation \"Watch In Any Order\"."]], "corpus": "wikipedia"}
+{"tstamp": 1727936455.6814, "task_type": "retrieval", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1727936455.4711, "finish": 1727936455.6814, "ip": "", "conv_id": "153f555523ef46a4964c6c6631951b44", "model_name": "Salesforce/SFR-Embedding-2_R", "prompt": "which is a better model RoBERTa or Llama", "output": [["which is a better model RoBERTa or Llama", "Llama (language model)\n\nLlama (acronym for Large Language Model Meta AI, and formerly stylized as LLaMA) is a family of autoregressive large language models (LLMs) released by Meta AI starting in February 2023. The latest version is Llama 3, released in April 2024.\nModel weights for the first version of Llama were made available to the research community under a non-commercial license, and access was granted on a case-by-case basis. Unauthorized copies of the model were shared via BitTorrent. In response, Meta AI issued DMCA takedown requests against repositories sharing the link on GitHub. Subsequent versions of Llama were made accessible outside academia and released under licenses that permitted some commercial use. Llama models are trained at different parameter sizes, typically ranging between 7B and 70B. Originally, Llama was only available as a foundation model. Starting with Llama 2, Meta AI started releasing instruction fine-tuned versions alongside foundation models.\nAlongside the release of Llama 3, Meta added virtual assistant features to Facebook and WhatsApp in select regions, and a standalone website. Both services use a Llama 3 model."]], "corpus": "wikipedia"}

data/retrieval_side_by_side-76065722-116b-41cc-961b-aebfed552f79.jsonl

@@ -31,3 +31,4 @@
 {"tstamp": 1727890201.0265, "task_type": "retrieval", "type": "bothbadvote", "models": ["text-embedding-004", "intfloat/multilingual-e5-large-instruct"], "ip": "", "0_conv_id": "aa377335f1b446f3b63b2d26adb387b3", "0_model_name": "text-embedding-004", "0_prompt": "what are the toughest challenges faced by Jensen Huang at Nvidia?", "0_output": [["what are the toughest challenges faced by Jensen Huang at Nvidia?", "Jensen Huang\n\nSeveral years later, their parents also moved to the United States and settled in Oregon and the brothers moved back to live with them. Huang skipped two years and graduated at sixteen from Aloha High School in Aloha, Oregon. While growing up in Oregon in the 1980s, Huang got his first job at a local Denny's restaurant, where he worked as a busboy and waiter.\nHuang received his undergraduate degree in electrical engineering from Oregon State University in 1984, and earned his master's degree in electrical engineering from Stanford University in 1992.\nCareer\nAfter graduating from university, Huang served as the director of CoreWare at LSI Logic and a microprocessor designer at Advanced Micro Devices (AMD). In 1993, at 30 years old, he went on to start his own business, where he co-founded Nvidia with Chris Malachowsky and Curtis Priem and became its CEO and president. The three men founded the company in a meeting at a Denny's roadside diner in East San Jose.\nAs of 2024, Huang has been Nvidia's chief executive for over three decades, a tenure described by The Wall Street Journal as \"almost unheard of in fast-moving Silicon Valley\". He owns 3.6% of Nvidia's stock, which went public in 1999. He earned  as CEO in 2007, ranking him as the 61st highest paid U.S. CEO by Forbes."]], "0_corpus": "wikipedia", "1_conv_id": "458e659643064657a5fc37be48313abd", "1_model_name": "embed-english-v3.0", "1_prompt": "what are the toughest challenges faced by Jensen Huang at Nvidia?", "1_output": [["what are the toughest challenges faced by Jensen Huang at Nvidia?", "Jensen Huang\n\nJen-Hsun \"Jensen\" Huang (; born February 17, 1963) is an American  businessman and electrical engineer who currently serves as the president and chief executive officer (CEO) of Nvidia.\nThe son of Taiwanese immigrants, Huang immigrated to the United States in his childhood. After graduating from Stanford University, Huang co-founded Nvidia in 1993 at age 30. In June 2024, Nvidia became the largest company in the world by market capitalization. As of June 2024, Forbes estimated Huang's net worth at $118 billion, making him the 11th richest person in the world.\nEarly life and education\nHuang was born in Tainan, Taiwan, on February 17, 1963. His family moved to Thailand when he was five years old. When he was nine, he and his older brother were sent to the United States to live with an uncle in Tacoma, Washington. When he was ten, he lived in the boys' dormitory with his brother at Oneida Baptist Institute while attending a separate public school, Oneida Elementary school, in Oneida, Kentucky—his uncle had mistaken what was actually a religious reform academy for a prestigious boarding school. Huang's roommate at Oneida was illiterate and in exchange for being taught how to read, he taught Huang how to bench press."]], "1_corpus": "wikipedia"}
 {"tstamp": 1727916487.9322, "task_type": "retrieval", "type": "bothbadvote", "models": ["intfloat/multilingual-e5-large-instruct", "embed-english-v3.0"], "ip": "", "0_conv_id": "3dc4fa117b1a4a61a116f55576d999a0", "0_model_name": "intfloat/multilingual-e5-large-instruct", "0_prompt": "what are the toughest challenges faced by Jensen Huang at Nvidia?", "0_output": [["what are the toughest challenges faced by Jensen Huang at Nvidia?", "Jensen Huang\n\nJen-Hsun \"Jensen\" Huang (; born February 17, 1963) is an American  businessman and electrical engineer who currently serves as the president and chief executive officer (CEO) of Nvidia.\nThe son of Taiwanese immigrants, Huang immigrated to the United States in his childhood. After graduating from Stanford University, Huang co-founded Nvidia in 1993 at age 30. In June 2024, Nvidia became the largest company in the world by market capitalization. As of June 2024, Forbes estimated Huang's net worth at $118 billion, making him the 11th richest person in the world.\nEarly life and education\nHuang was born in Tainan, Taiwan, on February 17, 1963. His family moved to Thailand when he was five years old. When he was nine, he and his older brother were sent to the United States to live with an uncle in Tacoma, Washington. When he was ten, he lived in the boys' dormitory with his brother at Oneida Baptist Institute while attending a separate public school, Oneida Elementary school, in Oneida, Kentucky—his uncle had mistaken what was actually a religious reform academy for a prestigious boarding school. Huang's roommate at Oneida was illiterate and in exchange for being taught how to read, he taught Huang how to bench press."]], "0_corpus": "wikipedia", "1_conv_id": "82d2e0a52643456898d0c6e327ee293a", "1_model_name": "embed-english-v3.0", "1_prompt": "what are the toughest challenges faced by Jensen Huang at Nvidia?", "1_output": [["what are the toughest challenges faced by Jensen Huang at Nvidia?", "Jensen Huang\n\nJen-Hsun \"Jensen\" Huang (; born February 17, 1963) is an American  businessman and electrical engineer who currently serves as the president and chief executive officer (CEO) of Nvidia.\nThe son of Taiwanese immigrants, Huang immigrated to the United States in his childhood. After graduating from Stanford University, Huang co-founded Nvidia in 1993 at age 30. In June 2024, Nvidia became the largest company in the world by market capitalization. As of June 2024, Forbes estimated Huang's net worth at $118 billion, making him the 11th richest person in the world.\nEarly life and education\nHuang was born in Tainan, Taiwan, on February 17, 1963. His family moved to Thailand when he was five years old. When he was nine, he and his older brother were sent to the United States to live with an uncle in Tacoma, Washington. When he was ten, he lived in the boys' dormitory with his brother at Oneida Baptist Institute while attending a separate public school, Oneida Elementary school, in Oneida, Kentucky—his uncle had mistaken what was actually a religious reform academy for a prestigious boarding school. Huang's roommate at Oneida was illiterate and in exchange for being taught how to read, he taught Huang how to bench press."]], "1_corpus": "wikipedia"}
 {"tstamp": 1727916585.7005, "task_type": "retrieval", "type": "leftvote", "models": ["Alibaba-NLP/gte-Qwen2-7B-instruct", "embed-english-v3.0"], "ip": "", "0_conv_id": "b5b7c0ef41494bab91dd97a097a2eec2", "0_model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "0_prompt": "What are the toughest set backs of Nvidia?", "0_output": [["What are the toughest set backs of Nvidia?", "Nvidia\n\nDuring the late 1990s, Nvidia was one of 70 startup companies chasing the idea that graphics acceleration for video games was the path to the future.  Only two survived: Nvidia and ATI Technologies, which merged into AMD.\nNvidia initially had no name and the co-founders named all their files NV, as in \"next version\". The need to incorporate the company prompted the co-founders to review all words with those two letters.  At one point, Malachowsky and Priem wanted to call the company NVision, but that name was already taken by a manufacturer of toilet paper. Huang suggested the name Nvidia, from \"invidia\", the Latin word for \"envy\". The company's original headquarters office was in Sunnyvale, California.\nFirst graphics accelerator\nNvidia's first graphics accelerator product, the NV1, was optimized for processing quadrilateral primitives (forward texture mapping) instead of the triangle primitives preferred by its competitors. Then Microsoft introduced the DirectX platform, refused to support any other graphics software, and also announced that its graphics software (Direct3D) would support only triangles.\nNvidia also signed a contract with Sega to build the graphics chip for the Dreamcast video game console and worked on the project for a year.  Having bet on the wrong technology, Nvidia was confronted with a painful dilemma: keep working on its inferior chip for the Dreamcast even though it was already too far behind the competition, or stop working and run out of money right away."]], "0_corpus": "wikipedia", "1_conv_id": "07c0bf0702c140289c67c8f5b5898442", "1_model_name": "embed-english-v3.0", "1_prompt": "What are the toughest set backs of Nvidia?", "1_output": [["What are the toughest set backs of Nvidia?", "Nvidia\n\nInstead, Nvidia provides its own binary GeForce graphics drivers for X.Org and an open-source library that interfaces with the Linux, FreeBSD or Solaris kernels and the proprietary graphics software. Nvidia also provided but stopped supporting an obfuscated open-source driver that only supports two-dimensional hardware acceleration and ships with the X.Org distribution.\nThe proprietary nature of Nvidia's drivers has generated dissatisfaction within free-software communities. In a 2012 talk, Linus Torvalds, in criticism of Nvidia's approach towards Linux, raised the finger and stated \"Nvidia, fuck you.\" Some Linux and BSD users insist on using only open-source drivers and regard Nvidia's insistence on providing nothing more than a binary-only driver as inadequate, given that competing manufacturers such as Intel offer support and documentation for open-source developers and that others (like AMD) release partial documentation and provide some active development.\nNvidia only provides x86/x64 and ARMv7-A versions of their proprietary driver; as a result, features like CUDA are unavailable on other platforms. Some users claim that Nvidia's Linux drivers impose artificial restrictions, like limiting the number of monitors that can be used at the same time, but the company has not commented on these accusations.\nIn 2014, with Maxwell GPUs, Nvidia started to require firmware by them to unlock all features of its graphics cards."]], "1_corpus": "wikipedia"}
+{"tstamp": 1727936487.3742, "task_type": "retrieval", "type": "rightvote", "models": ["Salesforce/SFR-Embedding-2_R", "Alibaba-NLP/gte-Qwen2-7B-instruct"], "ip": "", "0_conv_id": "0cb6c98a409e4d6b8cbbdf936a6cb8ae", "0_model_name": "Salesforce/SFR-Embedding-2_R", "0_prompt": "what were the worst parts of nvidia's history?", "0_output": [["what were the worst parts of nvidia's history?", "Nvidia\n\nPublic company Nvidia went public on January 22, 1999.  Investing in Nvidia after it had already failed to deliver on its contract turned out to be Irimajiri's best decision as Sega's president. After Irimajiri left Sega in 2000, Sega sold its Nvidia stock for $15 million.\nIn late 1999, Nvidia released the GeForce 256 (NV10), its first product expressly marketed as a GPU, which was most notable for introducing onboard transformation and lighting (T&L) to consumer-level 3D hardware. Running at 120 MHz and featuring four-pixel pipelines, it implemented advanced video acceleration, motion compensation, and hardware sub-picture alpha blending. The GeForce outperformed existing products by a wide margin.\nDue to the success of its products, Nvidia won the contract to develop the graphics hardware for Microsoft's Xbox game console, which earned Nvidia a $200 million advance. However, the project took many of its best engineers away from other projects. In the short term this did not matter, and the GeForce2 GTS shipped in the summer of 2000. In December 2000, Nvidia reached an agreement to acquire the intellectual assets of its one-time rival 3dfx, a pioneer in consumer 3D graphics technology leading the field from the mid-1990s until 2000. The acquisition process was finalized in April 2002.\nIn 2001, Standard & Poor's selected Nvidia to replace the departing Enron in the S&P 500 stock index, meaning that index funds would need to hold Nvidia shares going forward."]], "0_corpus": "wikipedia", "1_conv_id": "f38d7deba7684adeb656a540e2a5f24f", "1_model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "1_prompt": "what were the worst parts of nvidia's history?", "1_output": [["what were the worst parts of nvidia's history?", "Nvidia\n\nDuring the late 1990s, Nvidia was one of 70 startup companies chasing the idea that graphics acceleration for video games was the path to the future.  Only two survived: Nvidia and ATI Technologies, which merged into AMD.\nNvidia initially had no name and the co-founders named all their files NV, as in \"next version\". The need to incorporate the company prompted the co-founders to review all words with those two letters.  At one point, Malachowsky and Priem wanted to call the company NVision, but that name was already taken by a manufacturer of toilet paper. Huang suggested the name Nvidia, from \"invidia\", the Latin word for \"envy\". The company's original headquarters office was in Sunnyvale, California.\nFirst graphics accelerator\nNvidia's first graphics accelerator product, the NV1, was optimized for processing quadrilateral primitives (forward texture mapping) instead of the triangle primitives preferred by its competitors. Then Microsoft introduced the DirectX platform, refused to support any other graphics software, and also announced that its graphics software (Direct3D) would support only triangles.\nNvidia also signed a contract with Sega to build the graphics chip for the Dreamcast video game console and worked on the project for a year.  Having bet on the wrong technology, Nvidia was confronted with a painful dilemma: keep working on its inferior chip for the Dreamcast even though it was already too far behind the competition, or stop working and run out of money right away."]], "1_corpus": "wikipedia"}