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data/retrieval_battle-112c1ce1-fe57-41e6-8919-4f1859b89f91.jsonl

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 {"tstamp": 1723945347.2373, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "88ac50ac461944ebb55809f9a31ef0fe", "0_model_name": "BAAI/bge-large-en-v1.5", "0_prompt": "puerto boyaca", "0_output": [["puerto boyaca", "Boyacá Department\n\nBoyacá () is one of the thirty-two departments of Colombia, and the remnant of Boyacá State, one of the original nine states of the \"United States of Colombia\".\nBoyacá is centrally located within Colombia, almost entirely within the mountains of the Eastern Cordillera to the border with Venezuela, although the western end of the department extends to the Magdalena River at the town of Puerto Boyacá. Boyacá borders to the north with the Department of Santander, to the northeast with the Bolivarian Republic of Venezuela and Norte de Santander, to the east with the departments of Arauca and Casanare. To the south, Boyacá borders the department of Cundinamarca and to the west with the Department of Antioquia covering a total area of . The capital of Boyacá is the city of Tunja.\nBoyacá is known as \"The Land of Freedom\" because this region was the scene of a series of battles which led to Colombia's independence from Spain. The first one took place on 25 July 1819 in the Pantano de Vargas and the final and decisive battle known as the Battle of Boyacá was fought on 7 August 1819 at Puente de Boyacá.\nBoyacá is home to three universities: the Universidad Pedagógica y Tecnológica de Colombia (UPTC), the Universidad de Boyacá (UNIBOYACA), and the Saint Thomas Aquinas University."]], "0_corpus": "wikipedia", "1_conv_id": "febd562c55bb4610a2c3fdb7ce768c0a", "1_model_name": "jinaai/jina-embeddings-v2-base-en", "1_prompt": "puerto boyaca", "1_output": [["puerto boyaca", "Puerto Banús\n\nHistory The architect Noldi Schreck, who participated in the design and construction of Beverly Hills, was visited in 1966 by Prince Alfonso de Hohenlohe to ask him to work on the Hotel Marbella Club. Schreck's first job was to meet José Banús (a close friend of Francisco Franco), and convince him that Puerto Banús was not a suitable place to build huge skyscrapers that would house thousands of wealthy families. He proposed a sophisticated Andalusian village and marina, the first port made by a single architect. José Banús became the largest developer of residential tourism complexes on the Costa del Sol. The port took his name and he became famous with the epithet \"the regime’s builder.\"\nThe lavish opening of the complex in May 1970 was attended by, amongst others, the Aga Khan, film director Roman Polanski, Playboy founder Hugh Hefner, Dr. Christiaan Barnard (pioneer of the heart transplant), and Prince Rainier and Princess Grace of Monaco. A young Julio Iglesias was hired to sing for the guests for the sum of 125,000 pesetas. Three hundred waiters from Seville served 22 kilos of beluga caviar to 1700 guests.\nIn 2011, it was reported that one of the largest-scale developments in Marbella's history was to take place with a 400 million euro investment into La Bajadilla, east of Marbella, by Qatari Sheikh Abdullah bin Nasser bin Khalifa Al Thani which included a  quay for cruise liners, a five-star hotel on the marina, as well as bars, restaurants, shops and supermarkets to compete with Puerto Banús."]], "1_corpus": "wikipedia"}
 {"tstamp": 1723974348.5303, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "f6cbab3decf94a8fb18bf8641c4ac84c", "0_model_name": "GritLM/GritLM-7B", "0_prompt": "What are text embeddings used for?", "0_output": [["What are text embeddings used for?", "Title: Neural Embeddings for Text\n\nAbstract: We propose a new kind of embedding for natural language text that deeply represents semantic meaning. Standard text embeddings use the outputs from hidden layers of a pretrained language model. In our method, we let a language model learn from the text and then literally pick its brain, taking the actual weights of the model's neurons to generate a vector. We call this representation of the text a neural embedding. We confirm the ability of this representation to reflect semantics of the text by an analysis of its behavior on several datasets, and by a comparison of neural embedding with state of the art sentence embeddings."]], "0_corpus": "arxiv", "1_conv_id": "1e0aced68c5d46f0bf395d91a7c6ba68", "1_model_name": "text-embedding-004", "1_prompt": "What are text embeddings used for?", "1_output": [["What are text embeddings used for?", "Title: Neural Embeddings for Text\n\nAbstract: We propose a new kind of embedding for natural language text that deeply represents semantic meaning. Standard text embeddings use the outputs from hidden layers of a pretrained language model. In our method, we let a language model learn from the text and then literally pick its brain, taking the actual weights of the model's neurons to generate a vector. We call this representation of the text a neural embedding. We confirm the ability of this representation to reflect semantics of the text by an analysis of its behavior on several datasets, and by a comparison of neural embedding with state of the art sentence embeddings."]], "1_corpus": "arxiv"}
 {"tstamp": 1723981848.7714, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "ad53e2c426774c5c90756796f67aa06a", "0_model_name": "jinaai/jina-embeddings-v2-base-en", "0_prompt": "data", "0_output": [["data", "Data\n\nAdvances in computing technologies have led to the advent of big data, which usually refers to very large quantities of data, usually at the petabyte scale. Using traditional data analysis methods and computing, working with such large (and growing) datasets is difficult, even impossible. (Theoretically speaking, infinite data would yield infinite information, which would render extracting insights or intelligence impossible.) In response, the relatively new field of data science uses machine learning (and other artificial intelligence (AI)) methods that allow for efficient applications of analytic methods to big data.\nEtymology and terminology\nThe Latin word  is the plural of , \"(thing) given\", neuter past participle of , \"to give\".\nThe first English use of the word \"data\" is from the 1640s. The word \"data\" was first used to mean \"transmissible and storable computer information\" in 1946. The expression \"data processing\" was first used in 1954.\nWhen \"data\" is used more generally as a synonym for \"information\", it is treated as a mass noun in singular form.  This usage is common in everyday language and in technical and scientific fields such as software development and computer science. One example of this usage is the term \"big data\".\nWhen used more specifically to refer to the processing and analysis of sets of data, the term retains its plural form."]], "0_corpus": "wikipedia", "1_conv_id": "aac53a13502e43fdbe88bd5bd0d4cec1", "1_model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "1_prompt": "data", "1_output": [["data", "Data\n\nIn common usage, data (, ; ) are a collection of discrete or continuous values that convey information, describing the quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpreted formally.  A datum is an individual value in a collection of data. Data are usually organized into structures such as tables that provide additional context and meaning, and which may themselves be used as data in larger structures. Data may be used as variables in a computational process. Data may represent abstract ideas or concrete measurements.\nData are commonly used in scientific research, economics, and in virtually every other form of human organizational activity.  Examples of data sets include price indices (such as consumer price index), unemployment rates, literacy rates, and census data. In this context, data represent the raw facts and figures from which useful information can be extracted."]], "1_corpus": "wikipedia"}
+{"tstamp": 1723990274.2986, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "b61b654122d34ec0b54fc81b2f8f20da", "0_model_name": "text-embedding-004", "0_prompt": "what is the GDP of the world ", "0_output": [["what is the GDP of the world ", "World economy\n\nFinance GDP (GWP) (gross world product): (purchasing power parity exchange rates) – $59.38 trillion (2005 est.), $51.48 trillion (2004), $23 trillion (2002). The GWP is the combined gross national income of all the countries in the world. When calculating the GWP, add GDP of all countries. Also, GWP shows that imports and exports are equal. Because imports and exports balance exactly when considering the whole world:, this also equals the total global gross domestic product (GDP). According to the World Bank, the 2013 nominal GWP was approximately US$75.59 trillion. In 2017, according to the CIA's World Factbook, the GWP was around US$80.27 trillion in nominal terms and totaled approximately 127.8 trillion international dollars in terms of purchasing power parity (PPP). The per capita PPP GWP in 2017 was approximately Int$17,500 according to the World Factbook.\nGDP (GWP) (gross world product): (market exchange rates) – $60.69 trillion (2008). The market exchange rates increased from 1990 to 2008. The reason for this increase is the world's advancement in terms of technology.\nGDP (real growth rate): The following part shows the GDP growth rate and the expected value after one year.\nDeveloped Economies. A developed country, industrialized country, more developed country (MDC), or more economically developed country (MEDC), is a sovereign state that has a developed economy and advanced technological infrastructure relative to other less industrialized nations. Most commonly, the criteria for evaluating the degree of economic development are gross domestic product (GDP), gross national product (GNP), the per capita income, level of industrialization, amount of widespread infrastructure and general standard of living. Which criteria are to be used and which countries can be classified as being developed are subjects of debate. The GDP of the developed countries is predicted to fall from 2.2% in 2017 to 2.0% in 2018 due to the fall in dollar value."]], "0_corpus": "wikipedia", "1_conv_id": "394c927fc5514c819f4ef1b4f061e988", "1_model_name": "intfloat/e5-mistral-7b-instruct", "1_prompt": "what is the GDP of the world ", "1_output": [["what is the GDP of the world ", "Gross world product\n\nThe gross world product (GWP), also known as gross world income (GWI), is the combined gross national income (previously, the \"gross national product\") of all the countries in the world. Because imports and exports balance exactly when considering the whole world, this also equals the total global gross domestic product (GDP). According to the World Bank, the 2013 nominal GWP was approximately 75.59 trillion United States dollars. In 2017, according to the CIA's World Factbook, the GWP was around $80.27 trillion in nominal terms and totaled approximately 127.8 trillion international dollars in terms of purchasing power parity (PPP). The per capita PPP GWP in 2017 was approximately 17,500 international dollars according to the World Factbook. According to the World Bank, the 2020 GWP in current dollars was approximately $84.705 trillion.\nRecent growth\nThe table below gives recent percentage values for overall GWP growth from 2006 through 2020, as well as an estimate for 2021, according to the International Monetary Fund (IMF)'s World Economic Outlook database. Data is given in terms of constant year-on-year prices.\nHistorical and prehistorical estimates\nIn 1998, economic historian J. Bradford DeLong estimated the total GWP in 1990 U.S. dollars for the main years between one million years BCE and 2000 CE (shown in the table below).\nEstimates from 2000 onwards are based on world GDP, PPP estimates in 2021 constant international dollars from the World Bank and subsequently converted to 1990 US$. \"Billion\" in the table below refers to the short scale usage of the term, where 1 billion = 1,000 million = 109."]], "1_corpus": "wikipedia"}

data/retrieval_individual-112c1ce1-fe57-41e6-8919-4f1859b89f91.jsonl

@@ -112,3 +112,5 @@
 {"tstamp": 1723981827.7421, "task_type": "retrieval", "type": "chat", "model": "Alibaba-NLP/gte-Qwen2-7B-instruct", "gen_params": {}, "start": 1723981825.4254, "finish": 1723981827.7421, "ip": "", "conv_id": "aac53a13502e43fdbe88bd5bd0d4cec1", "model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "prompt": "data", "output": [["data", "Data\n\nIn common usage, data (, ; ) are a collection of discrete or continuous values that convey information, describing the quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpreted formally.  A datum is an individual value in a collection of data. Data are usually organized into structures such as tables that provide additional context and meaning, and which may themselves be used as data in larger structures. Data may be used as variables in a computational process. Data may represent abstract ideas or concrete measurements.\nData are commonly used in scientific research, economics, and in virtually every other form of human organizational activity.  Examples of data sets include price indices (such as consumer price index), unemployment rates, literacy rates, and census data. In this context, data represent the raw facts and figures from which useful information can be extracted."]], "corpus": "wikipedia"}
 {"tstamp": 1723986763.0034, "task_type": "retrieval", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1723986759.9425, "finish": 1723986763.0034, "ip": "", "conv_id": "0415f26dd1674a6190d20851e8b8d1b8", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": "who is the winner of bigg boss kannada season", "output": [["who is the winner of bigg boss kannada season", "Bigg Boss Kannada season 1\n\nThe season one of the Kannada version of Indian reality television series Bigg Boss was broadcast on ETV Kannada in 2013. The show was hosted by Sudeep. A prize amount of 50,00,000 was announced for the winner. The show lasted for 99 days starting from 24 March 2013 (Grand Premiere) to 30 June 2013 (Grand Finale). A total of 15 contestants and 2 guests had entered the show. The Bigg Boss house, located in Lonavala, was fixed with 47 cameras to capture the activities in the house.\nAmong the four finalists, Vijay Raghavendra emerged as the title winner with maximum votes, followed by Arun Sagar as runner-up. Nikita Thukral came third and Narendra Babu was fourth. Gurudas Shenoy was the Editor-in-chief for the house reality of this season.\nHousemates status\nHousemates\nWild card entries\nGuests\nEpisodes\nThe episodes were broadcast by ETV Kannada channel at a time slot of 8 to 9 pm daily. After the Grand Finale, the channel continued to telecast Autograph series in which the contestants shared their experience in the house.\nProgrammes\nGrand Premiere: Bigg Boss Kannada\nDaily Highlights\nVarada Kathe Kicchana Jothe\nSuper Saturday with Sudeep\nUnseen Episode\nGrand Finale: Curtain Raiser\nGrand Finale\nGrand Finale: Final Cut\nGrand Finale: Unseen Episode\nAutograph"]], "corpus": "wikipedia"}
 {"tstamp": 1723986763.0034, "task_type": "retrieval", "type": "chat", "model": "BM25", "gen_params": {}, "start": 1723986759.9425, "finish": 1723986763.0034, "ip": "", "conv_id": "ef97af56676148f39e80958a6265026c", "model_name": "BM25", "prompt": "who is the winner of bigg boss kannada season", "output": [["who is the winner of bigg boss kannada season", "Bigg Boss Kannada\n\nBigg Boss Kannada (BBK) is the Kannada version of the reality TV show Bigg Boss which is broadcast in India through Colors Kannada Channel. The show is produced by Endemol Shine India, who owns the global format of Big Brother. Kiccha Sudeepa was hired to host the reality show in 2013 for the first season on ETV Kannada (now Colors Kannada). Later, he continued as a host of the show.\nOverview\nThe 'Bigg Boss' house\nA 'Bigg Boss' House is constructed for every season. For the first two seasons, the house was located in Lonavala, Pune district of Maharashtra, where the Hindi version of Bigg Boss usually takes place. As the schedules for the Hindi and Kannada versions were expected to be overlapped, a house exclusive for Kannada version of the show was built at Innovative Film City in Bengaluru, Karnataka for the third season. This continues to be the location of the house for the next seasons of Bigg Boss Kannada as well. The house built for a season of Bigg Boss is retained until the start of next season and is open for public at the venue, serving as an attraction."]], "corpus": "wikipedia"}
+{"tstamp": 1723990258.7598, "task_type": "retrieval", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1723990256.2617, "finish": 1723990258.7598, "ip": "", "conv_id": "b61b654122d34ec0b54fc81b2f8f20da", "model_name": "text-embedding-004", "prompt": "what is the GDP of the world ", "output": [["what is the GDP of the world ", "World economy\n\nFinance GDP (GWP) (gross world product): (purchasing power parity exchange rates) – $59.38 trillion (2005 est.), $51.48 trillion (2004), $23 trillion (2002). The GWP is the combined gross national income of all the countries in the world. When calculating the GWP, add GDP of all countries. Also, GWP shows that imports and exports are equal. Because imports and exports balance exactly when considering the whole world:, this also equals the total global gross domestic product (GDP). According to the World Bank, the 2013 nominal GWP was approximately US$75.59 trillion. In 2017, according to the CIA's World Factbook, the GWP was around US$80.27 trillion in nominal terms and totaled approximately 127.8 trillion international dollars in terms of purchasing power parity (PPP). The per capita PPP GWP in 2017 was approximately Int$17,500 according to the World Factbook.\nGDP (GWP) (gross world product): (market exchange rates) – $60.69 trillion (2008). The market exchange rates increased from 1990 to 2008. The reason for this increase is the world's advancement in terms of technology.\nGDP (real growth rate): The following part shows the GDP growth rate and the expected value after one year.\nDeveloped Economies. A developed country, industrialized country, more developed country (MDC), or more economically developed country (MEDC), is a sovereign state that has a developed economy and advanced technological infrastructure relative to other less industrialized nations. Most commonly, the criteria for evaluating the degree of economic development are gross domestic product (GDP), gross national product (GNP), the per capita income, level of industrialization, amount of widespread infrastructure and general standard of living. Which criteria are to be used and which countries can be classified as being developed are subjects of debate. The GDP of the developed countries is predicted to fall from 2.2% in 2017 to 2.0% in 2018 due to the fall in dollar value."]], "corpus": "wikipedia"}
+{"tstamp": 1723990258.7598, "task_type": "retrieval", "type": "chat", "model": "intfloat/e5-mistral-7b-instruct", "gen_params": {}, "start": 1723990256.2617, "finish": 1723990258.7598, "ip": "", "conv_id": "394c927fc5514c819f4ef1b4f061e988", "model_name": "intfloat/e5-mistral-7b-instruct", "prompt": "what is the GDP of the world ", "output": [["what is the GDP of the world ", "Gross world product\n\nThe gross world product (GWP), also known as gross world income (GWI), is the combined gross national income (previously, the \"gross national product\") of all the countries in the world. Because imports and exports balance exactly when considering the whole world, this also equals the total global gross domestic product (GDP). According to the World Bank, the 2013 nominal GWP was approximately 75.59 trillion United States dollars. In 2017, according to the CIA's World Factbook, the GWP was around $80.27 trillion in nominal terms and totaled approximately 127.8 trillion international dollars in terms of purchasing power parity (PPP). The per capita PPP GWP in 2017 was approximately 17,500 international dollars according to the World Factbook. According to the World Bank, the 2020 GWP in current dollars was approximately $84.705 trillion.\nRecent growth\nThe table below gives recent percentage values for overall GWP growth from 2006 through 2020, as well as an estimate for 2021, according to the International Monetary Fund (IMF)'s World Economic Outlook database. Data is given in terms of constant year-on-year prices.\nHistorical and prehistorical estimates\nIn 1998, economic historian J. Bradford DeLong estimated the total GWP in 1990 U.S. dollars for the main years between one million years BCE and 2000 CE (shown in the table below).\nEstimates from 2000 onwards are based on world GDP, PPP estimates in 2021 constant international dollars from the World Bank and subsequently converted to 1990 US$. \"Billion\" in the table below refers to the short scale usage of the term, where 1 billion = 1,000 million = 109."]], "corpus": "wikipedia"}