Scheduled Commit

data/retrieval_battle-1948e9c4-e613-4487-b12e-0e988013b994.jsonl

@@ -147,3 +147,5 @@
 {"tstamp": 1722871299.3375, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "23f2bce0bda24c27a2405d9c4dfdf6fa", "0_model_name": "intfloat/multilingual-e5-large-instruct", "0_prompt": "tell me about the uk sovereign wealth fund", "0_output": [["tell me about the uk sovereign wealth fund", "Sovereign wealth fund\n\nGlobal financial system Government Pension Fund of Norway\nInvestment management\nList of exchange-traded funds\nList of hedge funds\nList of investment banks\nList of private-equity firms\nNational wealth\nSovereign Wealth Fund Institute – What is a SWF? What is a Sovereign Wealth Fund? - SWFI\nNatural Resource Governance Institute & Columbia Center for Sustainable Investment \"Managing the Public Trust: How to make natural resource funds work for citizens\", 2014.\nCastelli Massimiliano and Fabio Scacciavillani \"The New Economics of Sovereign Wealth Funds\", John Wiley & Sons, 2012\nSaleem H. Ali and Gary Flomenhoft. \"Innovating Sovereign Wealth Funds\" . Policy Innovations, 17 February 2011.\nM. Nicolas J. Firzli World Pensions Council (WPC) Asset Owners Report: “Infrastructure Investments in an Age of Austerity: The Pension and Sovereign Funds Perspective”, USAK/JTW 30 July 2011 and Revue Analyse Financière, Q4 2011\nM. Nicolas J. Firzli and Joshua Franzel. \"Non-Federal Sovereign Wealth Funds in the United States and Canada\". Revue Analyse Financière, Q3 2014\nXu Yi-chong and Gawdat Bahgat, eds. The Political Economy of Sovereign Wealth Funds'' (Palgrave Macmillan; 2011) 272 pages; case studies of SWFs in China, Kuwait, Russia, the United Arab Emirates, and other countries.\nLixia, Loh. \"Sovereign Wealth Funds: States Buying the World\" (Global Professional Publishing: 2010)."]], "0_corpus": "wikipedia", "1_conv_id": "c4cffcc5e66541ff98fe42c9aba293cf", "1_model_name": "intfloat/e5-mistral-7b-instruct", "1_prompt": "tell me about the uk sovereign wealth fund", "1_output": [["tell me about the uk sovereign wealth fund", "Sovereign wealth fund\n\nA sovereign wealth fund (SWF), or sovereign investment fund is a state-owned investment fund that invests in real and financial assets such as stocks, bonds, real estate, precious metals, or in alternative investments such as private equity fund or hedge funds. Sovereign wealth funds invest globally. Most SWFs are funded by revenues from commodity exports or from foreign-exchange reserves held by the central bank."]], "1_corpus": "wikipedia"}
 {"tstamp": 1722871466.9775, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "afca1c18db09447db8e80c2c69043053", "0_model_name": "intfloat/multilingual-e5-large-instruct", "0_prompt": "What was the result of the UK general election this year? Why did that happen?", "0_output": [["What was the result of the UK general election this year? Why did that happen?", "2019 United Kingdom general election\n\nThe election result gave Johnson the mandate he sought from the electorate to formally implement the withdrawal of the United Kingdom from the European Union, and to complete the repeal of the European Communities Act 1972 on 31 January 2020. Jeremy Corbyn, Labour's leader at the election, resigned triggering the 2020 party leadership election, which was won by his shadow Brexit secretary, Keir Starmer. Jane Dodds, the Liberal Democrats' leader in Wales, was also unseated in Brecon and Radnorshire. In Northern Ireland, Irish nationalist MPs outnumbered unionists for the first time, although the unionist popular vote remained higher at 43.1 per cent, and the seven Sinn Féin MPs did not take their seats due to their tradition of abstentionism. This is the most recent election to produce a parliamentary term with more than one prime minister. Johnson would resign amid a government crisis in 2022, being followed by Liz Truss for fifty days and then latterly by Rishi Sunak, who would, conversely to Johnson, lead the Conservatives to their worst defeat in history. As a result, this remains the Conservative Party’s most recent general election victory.\nBackground\nIn July 2016, Theresa May was elected Prime Minister to succeed David Cameron, who had resigned following the 2016 Brexit referendum. The Conservative Party had governed since the 2010 general election, initially in coalition with the Liberal Democrats and then alone with a small majority following the 2015 general election. In the 2017 general election, May lost her majority but was able to resume office as a result of a confidence and supply agreement with Northern Ireland's Democratic Unionist Party (DUP), known as the Conservative–DUP agreement. In the face of opposition from the DUP and Conservative backbenchers, the second May ministry was unable to pass its Brexit withdrawal agreement by 29 March 2019, so some political commentators considered that an early general election was likely."]], "0_corpus": "wikipedia", "1_conv_id": "245ec3133dd044998ce93fde8ee93d45", "1_model_name": "mixedbread-ai/mxbai-embed-large-v1", "1_prompt": "What was the result of the UK general election this year? Why did that happen?", "1_output": [["What was the result of the UK general election this year? Why did that happen?", "2017 United Kingdom general election\n\nThe 2017 United Kingdom general election was held on Thursday 8 June 2017, two years after the previous general election in 2015; it was the first since 1992 to be held on a day that did not coincide with any local elections. The governing Conservative Party led by the prime minister Theresa May remained the largest single party in the House of Commons but lost its small overall majority, resulting in the formation of a Conservative minority government with a confidence and supply agreement with the Democratic Unionist Party (DUP) of Northern Ireland.\nThe Conservative Party, which had governed as a senior coalition partner from 2010 and as a single-party majority government from 2015, was led by May as Prime Minister. It was defending a working majority of 17 seats against the opposition Labour Party led by Jeremy Corbyn. It was the first general election to be contested by either May or Corbyn as party leader; May had succeeded David Cameron following his resignation as prime minister the previous summer, while Corbyn had succeeded Ed Miliband after he resigned following Labour's failure to win the general election two years earlier.\nUnder the Fixed-term Parliaments Act 2011 an election had not been due until May 2020, but Prime Minister May's call for a snap election was ratified by the necessary two-thirds vote in the House of Commons on 19 April 2017. May said that she hoped to secure a larger majority to \"strengthen [her] hand\" in the forthcoming Brexit negotiations."]], "1_corpus": "wikipedia"}
 {"tstamp": 1722871506.4508, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "6c6458558b63453987521f4a2846e911", "0_model_name": "Salesforce/SFR-Embedding-2_R", "0_prompt": "What was the result of the French election in 2024? Why did that happen?", "0_output": [["What was the result of the French election in 2024? Why did that happen?", "2022 French presidential election\n\nPresidential elections were held in France on 10 and 24 April 2022. As no candidate won a majority in the first round, a runoff was held, in which Emmanuel Macron defeated Marine Le Pen and was re-elected as President of France. Macron, from La République En Marche! (LREM), had defeated Le Pen, leader of the National Rally, once already in the 2017 French presidential election, for the term which expired on 13 May 2022. Macron became the first president of France to win a re-election bid since Jacques Chirac won in 2002.\nIn the first round, Macron took the lead with 27.9% of votes, followed by Le Pen with 23.2%, Jean-Luc Mélenchon of La France Insoumise with 22%, and Éric Zemmour of Reconquête with 7.1%. Valérie Pécresse of The Republicans took 4.8% of the vote, and Anne Hidalgo, mayor of Paris and Socialist Party candidate, 1.8%. Both the Republicans and Socialist parties, considered to be the dominant parties until 2017, received their worst results in a presidential election."]], "0_corpus": "wikipedia", "1_conv_id": "f0cc7bedb5974dedb5b83eeb15975963", "1_model_name": "nomic-ai/nomic-embed-text-v1.5", "1_prompt": "What was the result of the French election in 2024? Why did that happen?", "1_output": [["What was the result of the French election in 2024? Why did that happen?", "2024 French legislative election\n\nOn 9 June 2024, shortly after 21:00 CEST, Macron dissolved the National Assembly and called snap elections in a national address following projections which indicated that the L'Europe Ensemble electoral list would be significantly eclipsed by the RN in the European Parliament elections in France. In his address, he called the rise of nationalism by agitators a threat to France, Europe, and France's place in the world. He also warned that the far-right would bring about the \"impoverishment of the French people and the downfall of our country.\" The dates of the first and second rounds of elections were set for 30 June and 7 July, respectively.\nReactions to the announcement\nPoliticians\nRN leader Jordan Bardella called the large gap between the RN and L'Europe Ensemble electoral lists in the European Parliament elections a \"stinging disavowal\" of President Macron, saying that the results marked \"day 1 of the post-Macron era.\" Marine Le Pen, president of the RN group in the National Assembly, and Jean-Luc Mélenchon, leader of La France Insoumise, celebrated the election results and welcomed the announcement of snap elections.\nFormer president Nicolas Sarkozy condemned Macron, seeing his decision to dissolve parliament as a \"serious risk for the country.\" Mayor of Paris Anne Hidalgo reacted extremely negatively to Macron's decision, saying that the elections posed a serious threat to the upcoming 2024 Summer Olympics because they would not only \"spoil the mood of the whole country\" but also carry the risk of street riots and demonstrations."]], "1_corpus": "wikipedia"}
+{"tstamp": 1722871990.1213, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "78284d34a4ef47e29eb0067f2420da39", "0_model_name": "text-embedding-3-large", "0_prompt": "What is KiwiTech ", "0_output": [["What is KiwiTech ", "Kiwi.com\n\nKiwi.com (previously known as skypicker.com) is a Czech online travel agency founded by Oliver Dlouhý and Jozef Képesi in 2012. Kiwi.com provides a fare aggregator, metasearch engine and booking for airline tickets and ground transportation. Its ticket search features Kiwi.com’s \"virtual interlining\" concept – itineraries combined from over 750 carriers, including many that do not usually cooperate in online bookings."]], "0_corpus": "wikipedia", "1_conv_id": "375faf9b60ee45219b9143ad1f7e78c4", "1_model_name": "GritLM/GritLM-7B", "1_prompt": "What is KiwiTech ", "1_output": [["What is KiwiTech ", "Kiwi.com\n\nHistory The online portal skypicker.com was created in 2011. The company was founded in Brno by Oliver Dlouhý and Jozef Képesi. In 2016 the company acquired the domain name Kiwi.com for $800,000 and rebranded itself as Kiwi.com. Jiří Hlavenka was one of its first investors. In 2017, Kiwi.com acquired a stake in Jaroslav Kokolus. In 2018, Kiwi.com was included by Financial Times into the list of European firms with the top compound annual revenue growth in 2015-2018 and was titled ‘7th fastest growing company’ in EMEA according to Deloitte.\nAs of June 2019, Kiwi.com’s main shareholder is General Atlantic. Dlouhý and Képesi remain as major shareholders and continue to run the company. Other shareholders are Touzimsky Airlines and Luboš Charčenko.\nIn December 2022, Airasia partnered with Kiwi.com to transform the carrier into the ASEAN app for travel and lifestyle.\nIn 2023, Kiwi.com partnered with Bratislava Airport to assist travelers in finding destinations starting from the Slovakian hub.\nServices\nIn 2018, Kiwi.com launched NOMAD, a special multi-city travel search tool, and Tequila, a dedicated B2B platform.\nAlong with its headquarters in Brno, Kiwi.com has offices in Prague (Czech Republic), Barcelona (Spain), Bratislava (Slovakia), Košice (Slovakia), London (United Kingdom) and Miami (USA).\nThe company is presently one of the five biggest online air ticket sellers in Europe, with an annual turnover of approximately 1.1 billion euros in 2018. The company booked around 12,000 traveler itineraries daily and employed 2000 workers during 2019.\nIn 2022, Kiwi.com sold 50 billion CZK worth of tickets."]], "1_corpus": "wikipedia"}
+{"tstamp": 1722872047.7203, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "fc8e1acde1f8497aae43dae2f85e1587", "0_model_name": "text-embedding-3-large", "0_prompt": "I am looking for a paper which defined transformer architecture ", "0_output": [["I am looking for a paper which defined transformer architecture ", "Title: An Introduction to Transformers\n\nAbstract: The transformer is a neural network component that can be used to learn useful representations of sequences or sets of data-points. The transformer has driven recent advances in natural language processing, computer vision, and spatio-temporal modelling. There are many introductions to transformers, but most do not contain precise mathematical descriptions of the architecture and the intuitions behind the design choices are often also missing. Moreover, as research takes a winding path, the explanations for the components of the transformer can be idiosyncratic. In this note we aim for a mathematically precise, intuitive, and clean description of the transformer architecture. We will not discuss training as this is rather standard. We assume that the reader is familiar with fundamental topics in machine learning including multi-layer perceptrons, linear transformations, softmax functions and basic probability."]], "0_corpus": "arxiv", "1_conv_id": "b59f4dc6299b49cb9815c6bfe87599cb", "1_model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "1_prompt": "I am looking for a paper which defined transformer architecture ", "1_output": [["I am looking for a paper which defined transformer architecture ", "Title: An Introduction to Transformers\n\nAbstract: The transformer is a neural network component that can be used to learn useful representations of sequences or sets of data-points. The transformer has driven recent advances in natural language processing, computer vision, and spatio-temporal modelling. There are many introductions to transformers, but most do not contain precise mathematical descriptions of the architecture and the intuitions behind the design choices are often also missing. Moreover, as research takes a winding path, the explanations for the components of the transformer can be idiosyncratic. In this note we aim for a mathematically precise, intuitive, and clean description of the transformer architecture. We will not discuss training as this is rather standard. We assume that the reader is familiar with fundamental topics in machine learning including multi-layer perceptrons, linear transformations, softmax functions and basic probability."]], "1_corpus": "arxiv"}

data/retrieval_individual-1948e9c4-e613-4487-b12e-0e988013b994.jsonl

@@ -475,3 +475,9 @@
 {"tstamp": 1722871442.0836, "task_type": "retrieval", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1722871439.9261, "finish": 1722871442.0836, "ip": "", "conv_id": "245ec3133dd044998ce93fde8ee93d45", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "prompt": "What was the result of the UK general election this year? Why did that happen?", "output": [["What was the result of the UK general election this year? Why did that happen?", "2017 United Kingdom general election\n\nThe 2017 United Kingdom general election was held on Thursday 8 June 2017, two years after the previous general election in 2015; it was the first since 1992 to be held on a day that did not coincide with any local elections. The governing Conservative Party led by the prime minister Theresa May remained the largest single party in the House of Commons but lost its small overall majority, resulting in the formation of a Conservative minority government with a confidence and supply agreement with the Democratic Unionist Party (DUP) of Northern Ireland.\nThe Conservative Party, which had governed as a senior coalition partner from 2010 and as a single-party majority government from 2015, was led by May as Prime Minister. It was defending a working majority of 17 seats against the opposition Labour Party led by Jeremy Corbyn. It was the first general election to be contested by either May or Corbyn as party leader; May had succeeded David Cameron following his resignation as prime minister the previous summer, while Corbyn had succeeded Ed Miliband after he resigned following Labour's failure to win the general election two years earlier.\nUnder the Fixed-term Parliaments Act 2011 an election had not been due until May 2020, but Prime Minister May's call for a snap election was ratified by the necessary two-thirds vote in the House of Commons on 19 April 2017. May said that she hoped to secure a larger majority to \"strengthen [her] hand\" in the forthcoming Brexit negotiations."]], "corpus": "wikipedia"}
 {"tstamp": 1722871493.7218, "task_type": "retrieval", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1722871493.4287, "finish": 1722871493.7218, "ip": "", "conv_id": "6c6458558b63453987521f4a2846e911", "model_name": "Salesforce/SFR-Embedding-2_R", "prompt": "What was the result of the French election in 2024? Why did that happen?", "output": [["What was the result of the French election in 2024? Why did that happen?", "2022 French presidential election\n\nPresidential elections were held in France on 10 and 24 April 2022. As no candidate won a majority in the first round, a runoff was held, in which Emmanuel Macron defeated Marine Le Pen and was re-elected as President of France. Macron, from La République En Marche! (LREM), had defeated Le Pen, leader of the National Rally, once already in the 2017 French presidential election, for the term which expired on 13 May 2022. Macron became the first president of France to win a re-election bid since Jacques Chirac won in 2002.\nIn the first round, Macron took the lead with 27.9% of votes, followed by Le Pen with 23.2%, Jean-Luc Mélenchon of La France Insoumise with 22%, and Éric Zemmour of Reconquête with 7.1%. Valérie Pécresse of The Republicans took 4.8% of the vote, and Anne Hidalgo, mayor of Paris and Socialist Party candidate, 1.8%. Both the Republicans and Socialist parties, considered to be the dominant parties until 2017, received their worst results in a presidential election."]], "corpus": "wikipedia"}
 {"tstamp": 1722871493.7218, "task_type": "retrieval", "type": "chat", "model": "nomic-ai/nomic-embed-text-v1.5", "gen_params": {}, "start": 1722871493.4287, "finish": 1722871493.7218, "ip": "", "conv_id": "f0cc7bedb5974dedb5b83eeb15975963", "model_name": "nomic-ai/nomic-embed-text-v1.5", "prompt": "What was the result of the French election in 2024? Why did that happen?", "output": [["What was the result of the French election in 2024? Why did that happen?", "2024 French legislative election\n\nOn 9 June 2024, shortly after 21:00 CEST, Macron dissolved the National Assembly and called snap elections in a national address following projections which indicated that the L'Europe Ensemble electoral list would be significantly eclipsed by the RN in the European Parliament elections in France. In his address, he called the rise of nationalism by agitators a threat to France, Europe, and France's place in the world. He also warned that the far-right would bring about the \"impoverishment of the French people and the downfall of our country.\" The dates of the first and second rounds of elections were set for 30 June and 7 July, respectively.\nReactions to the announcement\nPoliticians\nRN leader Jordan Bardella called the large gap between the RN and L'Europe Ensemble electoral lists in the European Parliament elections a \"stinging disavowal\" of President Macron, saying that the results marked \"day 1 of the post-Macron era.\" Marine Le Pen, president of the RN group in the National Assembly, and Jean-Luc Mélenchon, leader of La France Insoumise, celebrated the election results and welcomed the announcement of snap elections.\nFormer president Nicolas Sarkozy condemned Macron, seeing his decision to dissolve parliament as a \"serious risk for the country.\" Mayor of Paris Anne Hidalgo reacted extremely negatively to Macron's decision, saying that the elections posed a serious threat to the upcoming 2024 Summer Olympics because they would not only \"spoil the mood of the whole country\" but also carry the risk of street riots and demonstrations."]], "corpus": "wikipedia"}
+{"tstamp": 1722871850.8971, "task_type": "retrieval", "type": "chat", "model": "voyage-multilingual-2", "gen_params": {}, "start": 1722871848.7061, "finish": 1722871850.8971, "ip": "", "conv_id": "875162e88675454b899e5007c3af71b0", "model_name": "voyage-multilingual-2", "prompt": "legal medical bill", "output": [["legal medical bill", "Title: Natural language processing of MIMIC-III clinical notes for identifying diagnosis and procedures with neural networks\n\nAbstract: Coding diagnosis and procedures in medical records is a crucial process in the healthcare industry, which includes the creation of accurate billings, receiving reimbursements from payers, and creating standardized patient care records. In the United States, Billing and Insurance related activities cost around $471 billion in 2012 which constitutes about 25% of all the U.S hospital spending. In this paper, we report the performance of a natural language processing model that can map clinical notes to medical codes, and predict final diagnosis from unstructured entries of history of present illness, symptoms at the time of admission, etc. Previous studies have demonstrated that deep learning models perform better at such mapping when compared to conventional machine learning models. Therefore, we employed state-of-the-art deep learning method, ULMFiT on the largest emergency department clinical notes dataset MIMIC III which has 1.2M clinical notes to select for the top-10 and top-50 diagnosis and procedure codes. Our models were able to predict the top-10 diagnoses and procedures with 80.3% and 80.5% accuracy, whereas the top-50 ICD-9 codes of diagnosis and procedures are predicted with 70.7% and 63.9% accuracy. Prediction of diagnosis and procedures from unstructured clinical notes benefit human coders to save time, eliminate errors and minimize costs. With promising scores from our present model, the next step would be to deploy this on a small-scale real-world scenario and compare it with human coders as the gold standard. We believe that further research of this approach can create highly accurate predictions that can ease the workflow in a clinical setting."]], "corpus": "arxiv"}
+{"tstamp": 1722871850.8971, "task_type": "retrieval", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722871848.7061, "finish": 1722871850.8971, "ip": "", "conv_id": "b07a1531d4e2469a9b60f75a7627217c", "model_name": "GritLM/GritLM-7B", "prompt": "legal medical bill", "output": [["legal medical bill", "Title: Learning Bill Similarity with Annotated and Augmented Corpora of Bills\n\nAbstract: Bill writing is a critical element of representative democracy. However, it is often overlooked that most legislative bills are derived, or even directly copied, from other bills. Despite the significance of bill-to-bill linkages for understanding the legislative process, existing approaches fail to address semantic similarities across bills, let alone reordering or paraphrasing which are prevalent in legal document writing. In this paper, we overcome these limitations by proposing a 5-class classification task that closely reflects the nature of the bill generation process. In doing so, we construct a human-labeled dataset of 4,721 bill-to-bill relationships at the subsection-level and release this annotated dataset to the research community. To augment the dataset, we generate synthetic data with varying degrees of similarity, mimicking the complex bill writing process. We use BERT variants and apply multi-stage training, sequentially fine-tuning our models with synthetic and human-labeled datasets. We find that the predictive performance significantly improves when training with both human-labeled and synthetic data. Finally, we apply our trained model to infer section- and bill-level similarities. Our analysis shows that the proposed methodology successfully captures the similarities across legal documents at various levels of aggregation."]], "corpus": "arxiv"}
+{"tstamp": 1722871979.4978, "task_type": "retrieval", "type": "chat", "model": "text-embedding-3-large", "gen_params": {}, "start": 1722871976.8959, "finish": 1722871979.4978, "ip": "", "conv_id": "78284d34a4ef47e29eb0067f2420da39", "model_name": "text-embedding-3-large", "prompt": "What is KiwiTech ", "output": [["What is KiwiTech ", "Kiwi.com\n\nKiwi.com (previously known as skypicker.com) is a Czech online travel agency founded by Oliver Dlouhý and Jozef Képesi in 2012. Kiwi.com provides a fare aggregator, metasearch engine and booking for airline tickets and ground transportation. Its ticket search features Kiwi.com’s \"virtual interlining\" concept – itineraries combined from over 750 carriers, including many that do not usually cooperate in online bookings."]], "corpus": "wikipedia"}
+{"tstamp": 1722871979.4978, "task_type": "retrieval", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722871976.8959, "finish": 1722871979.4978, "ip": "", "conv_id": "375faf9b60ee45219b9143ad1f7e78c4", "model_name": "GritLM/GritLM-7B", "prompt": "What is KiwiTech ", "output": [["What is KiwiTech ", "Kiwi.com\n\nHistory The online portal skypicker.com was created in 2011. The company was founded in Brno by Oliver Dlouhý and Jozef Képesi. In 2016 the company acquired the domain name Kiwi.com for $800,000 and rebranded itself as Kiwi.com. Jiří Hlavenka was one of its first investors. In 2017, Kiwi.com acquired a stake in Jaroslav Kokolus. In 2018, Kiwi.com was included by Financial Times into the list of European firms with the top compound annual revenue growth in 2015-2018 and was titled ‘7th fastest growing company’ in EMEA according to Deloitte.\nAs of June 2019, Kiwi.com’s main shareholder is General Atlantic. Dlouhý and Képesi remain as major shareholders and continue to run the company. Other shareholders are Touzimsky Airlines and Luboš Charčenko.\nIn December 2022, Airasia partnered with Kiwi.com to transform the carrier into the ASEAN app for travel and lifestyle.\nIn 2023, Kiwi.com partnered with Bratislava Airport to assist travelers in finding destinations starting from the Slovakian hub.\nServices\nIn 2018, Kiwi.com launched NOMAD, a special multi-city travel search tool, and Tequila, a dedicated B2B platform.\nAlong with its headquarters in Brno, Kiwi.com has offices in Prague (Czech Republic), Barcelona (Spain), Bratislava (Slovakia), Košice (Slovakia), London (United Kingdom) and Miami (USA).\nThe company is presently one of the five biggest online air ticket sellers in Europe, with an annual turnover of approximately 1.1 billion euros in 2018. The company booked around 12,000 traveler itineraries daily and employed 2000 workers during 2019.\nIn 2022, Kiwi.com sold 50 billion CZK worth of tickets."]], "corpus": "wikipedia"}
+{"tstamp": 1722872035.7013, "task_type": "retrieval", "type": "chat", "model": "text-embedding-3-large", "gen_params": {}, "start": 1722872033.4967, "finish": 1722872035.7013, "ip": "", "conv_id": "fc8e1acde1f8497aae43dae2f85e1587", "model_name": "text-embedding-3-large", "prompt": "I am looking for a paper which defined transformer architecture ", "output": [["I am looking for a paper which defined transformer architecture ", "Title: An Introduction to Transformers\n\nAbstract: The transformer is a neural network component that can be used to learn useful representations of sequences or sets of data-points. The transformer has driven recent advances in natural language processing, computer vision, and spatio-temporal modelling. There are many introductions to transformers, but most do not contain precise mathematical descriptions of the architecture and the intuitions behind the design choices are often also missing. Moreover, as research takes a winding path, the explanations for the components of the transformer can be idiosyncratic. In this note we aim for a mathematically precise, intuitive, and clean description of the transformer architecture. We will not discuss training as this is rather standard. We assume that the reader is familiar with fundamental topics in machine learning including multi-layer perceptrons, linear transformations, softmax functions and basic probability."]], "corpus": "arxiv"}
+{"tstamp": 1722872035.7013, "task_type": "retrieval", "type": "chat", "model": "Alibaba-NLP/gte-Qwen2-7B-instruct", "gen_params": {}, "start": 1722872033.4967, "finish": 1722872035.7013, "ip": "", "conv_id": "b59f4dc6299b49cb9815c6bfe87599cb", "model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "prompt": "I am looking for a paper which defined transformer architecture ", "output": [["I am looking for a paper which defined transformer architecture ", "Title: An Introduction to Transformers\n\nAbstract: The transformer is a neural network component that can be used to learn useful representations of sequences or sets of data-points. The transformer has driven recent advances in natural language processing, computer vision, and spatio-temporal modelling. There are many introductions to transformers, but most do not contain precise mathematical descriptions of the architecture and the intuitions behind the design choices are often also missing. Moreover, as research takes a winding path, the explanations for the components of the transformer can be idiosyncratic. In this note we aim for a mathematically precise, intuitive, and clean description of the transformer architecture. We will not discuss training as this is rather standard. We assume that the reader is familiar with fundamental topics in machine learning including multi-layer perceptrons, linear transformations, softmax functions and basic probability."]], "corpus": "arxiv"}