| {"tstamp": 1722312028.6329, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722312027.7312, "finish": 1722312028.6329, "ip": "", "conv_id": "35de2bb698e845d48c01ddafc8ea2cfd", "model_name": "BAAI/bge-large-en-v1.5", "prompt": "why nano is better than vim?", "output": [["why nano is better than vim?", "Askubuntu Stackexchange\n\nQ: Difference between Nano and Vim I have recently started using Ubuntu and hence, the terminal.\nAs text editor, I have used the pre-installed nano. Now I wonder whether I should install and use vim as well.\nWhat are each of those text editors' special features, advantages and disadvantages? Which one is better suited for newcomers, and for what use cases would the other be preferable?\n\nA: In a nutshell: nano is simple, vim is powerful.\nIf you only want to simply edit some textfiles, nano will be enough. In my opinion, vim is pretty advanced and complicated to use. You should expect some time to get into it before you're able to properly use it.\nFunny (but not too unrealistic) quote about vim: (source)\n\nI've been using vim for about 2 years now, mostly because I can't figure out how to exit it.\n\n"]], "corpus": "stackexchange"} | |
| {"tstamp": 1722312028.6329, "task_type": "retrieval", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1722312027.7312, "finish": 1722312028.6329, "ip": "", "conv_id": "d4acc2d789f04c3a969ce1cb65905b58", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "prompt": "why nano is better than vim?", "output": [["why nano is better than vim?", "Askubuntu Stackexchange\n\nQ: Difference between Nano and Vim I have recently started using Ubuntu and hence, the terminal.\nAs text editor, I have used the pre-installed nano. Now I wonder whether I should install and use vim as well.\nWhat are each of those text editors' special features, advantages and disadvantages? Which one is better suited for newcomers, and for what use cases would the other be preferable?\n\nA: In a nutshell: nano is simple, vim is powerful.\nIf you only want to simply edit some textfiles, nano will be enough. In my opinion, vim is pretty advanced and complicated to use. You should expect some time to get into it before you're able to properly use it.\nFunny (but not too unrealistic) quote about vim: (source)\n\nI've been using vim for about 2 years now, mostly because I can't figure out how to exit it.\n\n"]], "corpus": "stackexchange"} | |
| {"tstamp": 1722312032.4056, "task_type": "retrieval", "type": "chat", "model": "BM25", "gen_params": {}, "start": 1722312032.1266, "finish": 1722312032.4056, "ip": "", "conv_id": "1062daf8088240a6983682a5192f4fa7", "model_name": "BM25", "prompt": "what is the difference between practical and pragmatic?", "output": [["what is the difference between practical and pragmatic?", "Stackoverflow Stackexchange\n\nQ: Is there a meaningful difference between \"Double\" and \"double\" in .Net? As regards best practices, is there a meaningful difference between using:\nDouble d;\n\nand\ndouble d;\n\nI know best practices are fraught with contradictions, so I know the answers may vary here. I just want to know the pragmatic difference between the two.\n\nA: There is no difference. double is just an alias for System.Double in C#. \nNote that VB.NET doesn't have the same aliasing (int for System.Int32, double for System.Double, etc), so the aliasing is just applicable to C#, not .NET as a whole.\n"]], "corpus": "stackexchange"} | |
| {"tstamp": 1722312032.4056, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722312032.1266, "finish": 1722312032.4056, "ip": "", "conv_id": "cadd0b8a33404a6bb88f5a19d9514805", "model_name": "BAAI/bge-large-en-v1.5", "prompt": "what is the difference between practical and pragmatic?", "output": [["what is the difference between practical and pragmatic?", "English Stackexchange\n\nQ: Common root of \"practice,\" \"practical,\" and \"practicum\" When someone practices something, they do it often/as a habit. When someone says something is practical, they usually mean it is pragmatic/sensible/applicable, yet not necessarily practiced. And my teachers have used practicum to refer to a test, which is an examination, not an instance of practice.\nWhat is the common root of these words, what does it mean, and why do these words seem to mean different things?\n\nA: According to Etymonline, they all come from the Greek praktikos.\n\nEdit with more information according to the linked site:\n\nPractice: 15th century - Comes to English through French, Latin, and Greek.\nPractical:\n 1600 - This comes to English through the French \"practique\" (from the original Greek).\nPracticum:\n 1904 - Comes to English through \"Late Latin\" (from the original Greek).\n\n"]], "corpus": "stackexchange"} | |
| {"tstamp": 1722317853.8069, "task_type": "retrieval", "type": "chat", "model": "voyage-multilingual-2", "gen_params": {}, "start": 1722317852.9554, "finish": 1722317853.8069, "ip": "", "conv_id": "dcb307af1586484dbf6f63dc62909773", "model_name": "voyage-multilingual-2", "prompt": "Who was selling oil to Japan in WWII?", "output": [["Who was selling oil to Japan in WWII?", "Diplomatic history of World War II\n\nJapan Japan had conquered all of Manchuria and most of China by 1939 in the Second Sino-Japanese War, but the Allies refused to recognize the conquests. Japan joined the Axis with Germany, but shared little information. Japan depended on imports from the Allies for 90% of its oil, and the cutoff of oil shipments in mid-1941 left Japan with supplies for only a year or two of serious combat by its warships and warplanes unless it came to terms regarding China, or seized oil fields controlled by Britain and the Netherlands. The latter course meant war, and was urged by army officials who had been bloodied in border conflicts and were reluctant to engage the Soviets. Some admirals and many civilians, including Prime Minister Konoe Fumimaro, believed that a war with the US would end in defeat. The alternative was loss of honor and power. Diplomats proposed political compromises in the form of the \"Amau Doctrine\", dubbed the \"Japanese Monroe Doctrine\" which would have given the Japanese free rein with regard to China. These proposals were rejected by the US; the Imperial Japanese Army now demanded a military solution.\nImperial conquests\nJapan launched its own blitzkriegs in East Asia. In 1937, the Japanese Army invaded and captured most of the coastal Chinese cities such as Shanghai. Japan took over French Indochina (Vietnam, Laos, Cambodia), British Malaya (Brunei, Malaysia, Singapore) as well as the Dutch East Indies (Indonesia). Thailand managed to stay independent by becoming a satellite state of Japan. In December 1941 to May 1942, Japan sank major elements of the American, British and Dutch fleets, captured Hong Kong, Singapore, the Philippines and the Dutch East Indies, and reached the borders of India and began bombing Australia. Japan suddenly had achieved its goal of ruling the Greater East Asia Co-Prosperity Sphere."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722317853.8069, "task_type": "retrieval", "type": "chat", "model": "BM25", "gen_params": {}, "start": 1722317852.9554, "finish": 1722317853.8069, "ip": "", "conv_id": "72d74b5f223e49c1b10aa1935be1650e", "model_name": "BM25", "prompt": "Who was selling oil to Japan in WWII?", "output": [["Who was selling oil to Japan in WWII?", "1945\n\n1945 marked the end of World War II and the fall of Nazi Germany and the Empire of Japan. It is also the year concentration camps were liberated and the only year in which atomic weapons have been used in combat.\nEvents\nWorld War II will be abbreviated as “WWII”\nJanuary\nJanuary 1 – WWII:\nGermany begins Operation Bodenplatte, an attempt by the Luftwaffe to cripple Allied air forces in the Low Countries.\nChenogne massacre: German prisoners are allegedly killed by American forces near the village of Chenogne, Belgium.\nJanuary 6 – WWII: A German offensive recaptures Esztergom, Hungary from the Soviets.\nJanuary 9 – WWII: American and Australian troops land at Lingayen Gulf on western coast of the largest Philippine island of Luzon, occupied by Japan since 1942.\nJanuary 12 – WWII: The Soviet Union begins the Vistula–Oder Offensive in Eastern Europe, against the German Army.\nJanuary 13 – WWII: The Soviet Union begins the East Prussian Offensive, to eliminate German forces in East Prussia.\nJanuary 16 – WWII: Adolf Hitler takes residence in the Führerbunker in Berlin.\nJanuary 17\nWWII: The Soviet Union occupies Warsaw, Poland.\nThe Holocaust: Swedish diplomat Raoul Wallenberg, who has saved thousands of Jews, is taken into custody by a Soviet patrol during the Siege of Budapest and is never again seen publicly."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722317911.5746, "task_type": "retrieval", "type": "chat", "model": "text-embedding-3-large", "gen_params": {}, "start": 1722317910.9205, "finish": 1722317911.5746, "ip": "", "conv_id": "c9ece7138b2c47438982e824f0959312", "model_name": "text-embedding-3-large", "prompt": "What's the smallest country in North America by landmass?", "output": [["What's the smallest country in North America by landmass?", "List of North American countries by area\n\nBelow is a list of countries and dependencies in North America by area. The region includes Canada, the Caribbean, Saint Pierre and Miquelon, Central America, Greenland, Mexico, and the United States. Canada is the largest country in North America and the Western Hemisphere. Saint Kitts and Nevis is the smallest country in North America overall, while El Salvador is the smallest country on the mainland. Greenland is a dependent territory of Denmark, but would be the third-largest country in the continent."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722317911.5746, "task_type": "retrieval", "type": "chat", "model": "embed-english-v3.0", "gen_params": {}, "start": 1722317910.9205, "finish": 1722317911.5746, "ip": "", "conv_id": "787cae92077a4584a9ae432ac2d99719", "model_name": "embed-english-v3.0", "prompt": "What's the smallest country in North America by landmass?", "output": [["What's the smallest country in North America by landmass?", "List of North American countries by area\n\nBelow is a list of countries and dependencies in North America by area. The region includes Canada, the Caribbean, Saint Pierre and Miquelon, Central America, Greenland, Mexico, and the United States. Canada is the largest country in North America and the Western Hemisphere. Saint Kitts and Nevis is the smallest country in North America overall, while El Salvador is the smallest country on the mainland. Greenland is a dependent territory of Denmark, but would be the third-largest country in the continent."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722318222.7335, "task_type": "retrieval", "type": "chat", "model": "embed-english-v3.0", "gen_params": {}, "start": 1722318222.2496, "finish": 1722318222.7335, "ip": "", "conv_id": "6bdc0d5677eb44748bd3bdefff26096d", "model_name": "embed-english-v3.0", "prompt": "where was part of the classic surfing movie endless summer filmed", "output": [["where was part of the classic surfing movie endless summer filmed", "The Endless Summer\n\nDevelopment Brown remembered, \"I felt if I could take two years to make a film, maybe I could make something special\". To do this, he would need a bigger budget than he had on previous films. To raise the $50,000 budget for The Endless Summer, Brown took the best footage from his four previous films and made Waterlogged. With the money raised from Waterlogged, Brown filmed The Endless Summer, his sixth surf film.\nBrown's original concept was for Cape St. Francis to be the main destination, but through the suggestion of a travel agent, during the planning stages of the film, that a round-the-world ticket, would cost $50 cheaper than just a Los Angeles to Cape Town, South Africa round-trip flight. after which Bruce came up with the idea of following the summer season by traveling up and down the world.\nProduction\nThe Endless Summer was filmed in:\nSouthern Hemisphere: South Africa (Cape St. Francis), Australia, New Zealand (Manu Bay), and Tahiti.\nNorthern Hemisphere: Hawaii, California (Salt Creek Beach, Steamer Lane, Malibu), Senegal, Ghana (Labadi), and Nigeria.\nMike Hynson and Robert August had to pay $1,400 for their own around-the-world tickets, and Brown required a commitment of three months. Production lasted four months."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722318222.7335, "task_type": "retrieval", "type": "chat", "model": "voyage-multilingual-2", "gen_params": {}, "start": 1722318222.2496, "finish": 1722318222.7335, "ip": "", "conv_id": "d31ab98a1c3b46a08bb6fb563b2df10f", "model_name": "voyage-multilingual-2", "prompt": "where was part of the classic surfing movie endless summer filmed", "output": [["where was part of the classic surfing movie endless summer filmed", "The Endless Summer\n\nThe Endless Summer is a 1966 American surf documentary film directed, produced, edited and narrated by Bruce Brown. The film follows surfers Mike Hynson and Robert August on a surfing trip around the world. Despite the balmy mediterranean climate of their native California, cold ocean currents make local beaches inhospitable during the winter, without later, modern wetsuits. They travel to the coasts of Australia, New Zealand, Tahiti, Hawaii, Senegal (Dakar), Ghana, Nigeria and South Africa in a quest for new surf spots while introducing locals to the sport along the way."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722322685.4922, "task_type": "retrieval", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1722322684.6919, "finish": 1722322685.4922, "ip": "", "conv_id": "1caa8ef026264cbf92daec052861cdd0", "model_name": "text-embedding-004", "prompt": "Who is Napoleon?", "output": [["Who is Napoleon?", "Napoleon\n\nNapoleon Bonaparte (born Napoleone di Buonaparte; 15 August 1769 – 5 May 1821), later known by his regnal name Napoleon I, was a French military and political leader who rose to prominence during the French Revolution and led a series of successful campaigns across Europe during the Revolutionary Wars and Napoleonic Wars from 1796 to 1815. He was the leader of the French Republic as First Consul from 1799 to 1804, then of the French Empire as Emperor of the French from 1804 to 1814, and briefly again in 1815.\nBorn on the island of Corsica to a family of Italian origin, Napoleon moved to mainland France in 1779 and was commissioned as an officer in the French Army in 1785. He supported the French Revolution in 1789, and promoted its cause in Corsica. He rose rapidly in the ranks after breaking the siege of Toulon in 1793 and firing on royalist insurgents in Paris on 13 Vendémiaire in 1795. In 1796, Napoleon commanded a military campaign against the Austrians and their Italian allies in the War of the First Coalition, scoring decisive victories and becoming a national hero. He led an expedition to Egypt and Syria in 1798 which served as a springboard to political power. In November 1799, Napoleon engineered the Coup of 18 Brumaire against the Directory, and became First Consul of the Republic. He won the Battle of Marengo in 1800, which secured French victory in the War of the Second Coalition, and in 1803 sold the territory of Louisiana to the United States, which doubled the latter's area. In December 1804, Napoleon crowned himself Emperor of the French, further expanding his power."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722322685.4922, "task_type": "retrieval", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1722322684.6919, "finish": 1722322685.4922, "ip": "", "conv_id": "7f6b33e7c9074fd4a1cae2f02ba4f4ed", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "prompt": "Who is Napoleon?", "output": [["Who is Napoleon?", "Napoleon\n\nNapoleon Bonaparte (born Napoleone di Buonaparte; 15 August 1769 – 5 May 1821), later known by his regnal name Napoleon I, was a French military and political leader who rose to prominence during the French Revolution and led a series of successful campaigns across Europe during the Revolutionary Wars and Napoleonic Wars from 1796 to 1815. He was the leader of the French Republic as First Consul from 1799 to 1804, then of the French Empire as Emperor of the French from 1804 to 1814, and briefly again in 1815.\nBorn on the island of Corsica to a family of Italian origin, Napoleon moved to mainland France in 1779 and was commissioned as an officer in the French Army in 1785. He supported the French Revolution in 1789, and promoted its cause in Corsica. He rose rapidly in the ranks after breaking the siege of Toulon in 1793 and firing on royalist insurgents in Paris on 13 Vendémiaire in 1795. In 1796, Napoleon commanded a military campaign against the Austrians and their Italian allies in the War of the First Coalition, scoring decisive victories and becoming a national hero. He led an expedition to Egypt and Syria in 1798 which served as a springboard to political power. In November 1799, Napoleon engineered the Coup of 18 Brumaire against the Directory, and became First Consul of the Republic. He won the Battle of Marengo in 1800, which secured French victory in the War of the Second Coalition, and in 1803 sold the territory of Louisiana to the United States, which doubled the latter's area. In December 1804, Napoleon crowned himself Emperor of the French, further expanding his power."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722322748.8081, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722322748.6044, "finish": 1722322748.8081, "ip": "", "conv_id": "02079a96a50c46ba9f98c2be3ba5f4e0", "model_name": "BAAI/bge-large-en-v1.5", "prompt": "Who is Napoleon II?", "output": [["Who is Napoleon II?", "Napoleon II\n\nNapoleon II (Napoléon François Joseph Charles Bonaparte; 20 March 181122 July 1832) was the disputed Emperor of the French for a few weeks in 1815. He was the son of Emperor Napoleon I and Empress Marie Louise, daughter of Emperor Francis I of Austria. Napoleon II had been Prince Imperial of France and King of Rome since birth. After the fall of his father, he lived the rest of his life in Vienna and was known in the Austrian court as Franz, Duke of Reichstadt for his adult life (from the German version of his second given name, along with a title his grandfather granted him in 1818). He was posthumously given the nickname L'Aiglon (\"the Eaglet\")."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722322748.8081, "task_type": "retrieval", "type": "chat", "model": "nomic-ai/nomic-embed-text-v1.5", "gen_params": {}, "start": 1722322748.6044, "finish": 1722322748.8081, "ip": "", "conv_id": "bbc439bb335b491cb2238aed072c1f9d", "model_name": "nomic-ai/nomic-embed-text-v1.5", "prompt": "Who is Napoleon II?", "output": [["Who is Napoleon II?", "Napoleon II\n\nNapoleon II (Napoléon François Joseph Charles Bonaparte; 20 March 181122 July 1832) was the disputed Emperor of the French for a few weeks in 1815. He was the son of Emperor Napoleon I and Empress Marie Louise, daughter of Emperor Francis I of Austria. Napoleon II had been Prince Imperial of France and King of Rome since birth. After the fall of his father, he lived the rest of his life in Vienna and was known in the Austrian court as Franz, Duke of Reichstadt for his adult life (from the German version of his second given name, along with a title his grandfather granted him in 1818). He was posthumously given the nickname L'Aiglon (\"the Eaglet\")."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722322780.9411, "task_type": "retrieval", "type": "chat", "model": "embed-english-v3.0", "gen_params": {}, "start": 1722322780.5795, "finish": 1722322780.9411, "ip": "", "conv_id": "c292b9c11c1842058e186af5f38441ba", "model_name": "embed-english-v3.0", "prompt": "Who is the disputed Emperor of the French?", "output": [["Who is the disputed Emperor of the French?", "Emperor of the French\n\nEmperor of the French (French: Empereur des Français) was the title of the monarch and supreme ruler of the First and the Second French Empires.\nDetails\nA title and office used by the House of Bonaparte starting when Napoleon Bonaparte was proclaimed Emperor on 18 May 1804 by the Senate and was crowned Emperor of the French on 2 December 1804 at the cathedral of Notre-Dame de Paris, in Paris, with the Crown of Napoleon."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722322780.9411, "task_type": "retrieval", "type": "chat", "model": "nomic-ai/nomic-embed-text-v1.5", "gen_params": {}, "start": 1722322780.5795, "finish": 1722322780.9411, "ip": "", "conv_id": "aa63fc904d034fbab2b94c4cce512a8e", "model_name": "nomic-ai/nomic-embed-text-v1.5", "prompt": "Who is the disputed Emperor of the French?", "output": [["Who is the disputed Emperor of the French?", "Emperor of the French\n\nEmperor of the French (French: Empereur des Français) was the title of the monarch and supreme ruler of the First and the Second French Empires.\nDetails\nA title and office used by the House of Bonaparte starting when Napoleon Bonaparte was proclaimed Emperor on 18 May 1804 by the Senate and was crowned Emperor of the French on 2 December 1804 at the cathedral of Notre-Dame de Paris, in Paris, with the Crown of Napoleon."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722322808.6647, "task_type": "retrieval", "type": "chat", "model": "Alibaba-NLP/gte-Qwen2-7B-instruct", "gen_params": {}, "start": 1722322808.3331, "finish": 1722322808.6647, "ip": "", "conv_id": "a8361e48a2134bafa6135be25d8ad87d", "model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "prompt": "What is Sentence Transformers?", "output": [["What is Sentence Transformers?", "BERT (language model)\n\nBidirectional Encoder Representations from Transformers (BERT) is a language model based on the transformer architecture, notable for its dramatic improvement over previous state of the art models. It was introduced in October 2018 by researchers at Google. A 2020 literature survey concluded that \"in a little over a year, BERT has become a ubiquitous baseline in Natural Language Processing (NLP) experiments counting over 150 research publications analyzing and improving the model.\"\nBERT was originally implemented in the English language at two model sizes: (1) BERTBASE: 12 encoders with 12 bidirectional self-attention heads totaling 110 million parameters, and (2) BERTLARGE: 24 encoders with 16 bidirectional self-attention heads totaling 340 million parameters. Both models were pre-trained on the Toronto BookCorpus (800M words) and English Wikipedia (2,500M words).\nDesign\nBERT is an \"encoder-only\" transformer architecture."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722322808.6647, "task_type": "retrieval", "type": "chat", "model": "sentence-transformers/all-MiniLM-L6-v2", "gen_params": {}, "start": 1722322808.3331, "finish": 1722322808.6647, "ip": "", "conv_id": "a162df51a68a4151bf8a4c558811e179", "model_name": "sentence-transformers/all-MiniLM-L6-v2", "prompt": "What is Sentence Transformers?", "output": [["What is Sentence Transformers?", "Transformers\n\nIn 1986, the cartoon became the film The Transformers: The Movie, which is set in the year 2005. It introduced the Matrix as the \"Autobot Matrix of Leadership\", as a fatally wounded Prime gives it to Ultra Magnus; however, as Prime dies he drops the matrix, which is then caught by Hot Rod who subsequently becomes Rodimus Prime later on in the film. Unicron, a Transformer who devours planets, fears its power and re-creates a heavily damaged Megatron as Galvatron, as well as Bombshell or Skywarp becoming Cyclonus, Thundercracker becoming Scourge and two other Insecticons becoming Scourge's huntsmen, the Sweeps. Eventually, Rodimus Prime takes out the Matrix and destroys Unicron. In the United Kingdom, the weekly comic book interspliced original material to keep up with U.S. reprints, and The Movie provided much new material. Writer Simon Furman proceeded to expand the continuity with movie spin-offs involving the time travelling Galvatron. The Movie also featured guest voices from Leonard Nimoy as Galvatron, Scatman Crothers as Jazz, Casey Kasem as Cliffjumper, Orson Welles as Unicron and Eric Idle as the leader of the Junkions (Wreck-Gar, though unnamed in the movie). The Transformers theme tune for the film was performed by Lion with \"Weird Al\" Yankovic adding a song to the soundtrack."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722322853.5078, "task_type": "retrieval", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722322853.1126, "finish": 1722322853.5078, "ip": "", "conv_id": "7f876a2cc06144d8bccbdef351f800f2", "model_name": "GritLM/GritLM-7B", "prompt": "Chicaco attacks", "output": [["Chicaco attacks", "USS Chicago (CA-29)\n\nWorld War II When the Japanese attacked Pearl Harbor on 7 December 1941, Chicago was at sea with Task Force 12 and the Force immediately began a five-day sweep in the Oahu-Johnston-Palmyra triangle in an effort to intercept the enemy. The Force returned to Pearl Harbor on 12 December; from 14–27 December, Chicago operated with Task Force 11 on patrol and search missions.\nOn 2 February 1942, Chicago departed Pearl Harbor for Suva, where she joined the newly formed ANZAC Squadron, later redesignated as Task Force 44. During March and April, the cruiser operated off the Louisiade Archipelago, covering the attacks on Lae and Salamaua, New Guinea. In a position to intercept enemy surface units which attempted to attack Port Moresby, Chicago also provided cover for the arrival of American troops on New Caledonia.\nOn 1 May, Chicago was ordered from Nouméa to join Commander, Southwest Pacific, and on the 4th she supported in her strike against the Japanese on Tulagi, Solomon Islands during the Battle of the Coral Sea. On 7 May, she proceeded, with the Support Group, to intercept and attack the Japanese Port Moresby invasion group. The following day, the group underwent several Japanese air attacks, during which Chicago suffered several casualties from strafing, but drove off the planes and proceeded ahead until it was clear that the Japanese force had been turned back."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722322853.5078, "task_type": "retrieval", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1722322853.1126, "finish": 1722322853.5078, "ip": "", "conv_id": "39e24b7acfbc433fbe17b9aaebd9b23b", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "prompt": "Chicaco attacks", "output": [["Chicaco attacks", "Chiapas conflict\n\n6 July 2003: Violent acts take place during the legislative elections in indigenous regions of Chiapas, principally in San Juan Cancuc, Zinacantán and Chenalhó. At the federal level, the largest rate of absenteeism was registered in the recent history of the country.\nSeptember/October 2003: A series of conflicts between members of the Independent Center of Agricultural Workers and Campesinos (CIOAC) and Zapatistas, around the detention of Armín Morales Jiménez by militants of the EZLN for the accused crime of abuse of confidence.\n22 January 2004: The houses of the community of Nuevo San Rafael in Montes Azules Reserve were all burned. According to the Secretary of Agrarian Reform (SRA), the inhabitants had voluntarily decided to abandon their homes and return to their places of origin. NGOs accused the SRA of having divided the population so as to force residents to leave the reserve.\n10 April 2004: Zapatista supporters from the municipality of Zinacantán were ambushed by members of the PRD, leaving dozens wounded and displacing 125 Zapatista families.\n23 April 2004: Noel Pável González, student at the National Autonomous University of Mexico and the National School of Anthropology and History, was found murdered in Mexico City. Elements of the investigation point towards the involvement of the ultra-right group \"El Yunque.\""]], "corpus": "wikipedia"} | |
| {"tstamp": 1722322898.0607, "task_type": "retrieval", "type": "chat", "model": "BM25", "gen_params": {}, "start": 1722322897.8496, "finish": 1722322898.0607, "ip": "", "conv_id": "830fdba8c1114ad692ade33324a03c62", "model_name": "BM25", "prompt": "What is Hugging Face?", "output": [["What is Hugging Face?", "X-23\n\nAfter being found by Kitty, Laura was taken to their base to recover. When Laura wakes up, with her memories now returning, at the former Weapon X facility she immediately tries to escape. Teen Cyclops goes to talk to her, while he's gone Teen Jean mentions to the team that Teen Cyclops \"fancies\" Laura. As Laura makes it outside she's met by Teen Cyclops, who was waiting for her. Teen Cyclops tries to calm her down but Laura only ceases hostility after getting Teen Cyclops scent and figuring out that Teen Cyclops is who he says he is.\nThe two talk, with Laura telling him that she does not want to talk about her past or what happened to her. Suddenly Teen Cyclops awkwardly hugs her, when she was distracted and looking sad, because he thought she needed a hug. Laura tells him that she does not do hugs, especially not with an audience as Kitty, Teen Jean, and Teen Beast were watching them. Teen Jean expressed a very conflicted look upon her face due to the hug and having read part of Laura's mind, thus she knows what happened in Avengers Arena. Laura thanks them for helping her and suggests they take the fight to the Purifiers, but in order for her to track them down, they will have to return her to where they found her."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722322898.0607, "task_type": "retrieval", "type": "chat", "model": "embed-english-v3.0", "gen_params": {}, "start": 1722322897.8496, "finish": 1722322898.0607, "ip": "", "conv_id": "395cfbc72eed40159ded5a02938adc32", "model_name": "embed-english-v3.0", "prompt": "What is Hugging Face?", "output": [["What is Hugging Face?", "Hug\n\nEtymology The origins of the word are unknown, but two hypotheses exist. The first is that the verb \"hug\" (first used in the 1560s) could be related to the Old Norse word , which meant to comfort. The second hypothesis is that the word is related to the German word , which means to foster or cherish, and originally meant to enclose with a hedge.\nCharacteristics\nA hug, sometimes in association with a kiss, is a form of nonverbal communication. Depending on culture, context and relationship, a hug can indicate familiarity, love, affection, friendship, brotherhood, flirting or sympathy.\nHugs can indicate support, comfort, and consolation, particularly where words are insufficient. A hug usually demonstrates affection and emotional warmth, sometimes arising from joy or happiness when reunited with someone or seeing someone absent after a long time. A non-reciprocal hug may demonstrate a relational problem.\nA hug can range from a brief one-second squeeze, with the arms not fully around the other person, to an extended holding. The length of a hug in any situation is socially and culturally determined. In the case of lovers, and occasionally others, the hips may also be pressed together. The emotionality of the hug can also influence the direction of the hug.\nThe direction of hugs generally corresponds with handedness, with right-handed people tending to lead with the right hand, but a heightened emotional state makes it slightly more likely for people to lead with the left hand. This small but significant effect has been attributed to right-hemispheric emotional processing."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722322926.4452, "task_type": "retrieval", "type": "chat", "model": "Alibaba-NLP/gte-Qwen2-7B-instruct", "gen_params": {}, "start": 1722322926.2649, "finish": 1722322926.4452, "ip": "", "conv_id": "49aa9d1fb4e54f14b66643bdec0e311a", "model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "prompt": "What is NLTK?", "output": [["What is NLTK?", "Computational linguistics\n\nComputational linguistics is an interdisciplinary field concerned with the computational modelling of natural language, as well as the study of appropriate computational approaches to linguistic questions. In general, computational linguistics draws upon linguistics, computer science, artificial intelligence, mathematics, logic, philosophy, cognitive science, cognitive psychology, psycholinguistics, anthropology and neuroscience, among others.\nOrigins\nThe field overlapped with artificial intelligence since the efforts in the United States in the 1950s to use computers to automatically translate texts from foreign languages, particularly Russian scientific journals, into English. Since rule-based approaches were able to make arithmetic (systematic) calculations much faster and more accurately than humans, it was expected that lexicon, morphology, syntax and semantics can be learned using explicit rules, as well. After the failure of rule-based approaches, David Hays coined the term in order to distinguish the field from AI and co-founded both the Association for Computational Linguistics (ACL) and the International Committee on Computational Linguistics (ICCL) in the 1970s and 1980s. What started as an effort to translate between languages evolved into a much wider field of natural language processing.\nAnnotated corpora\nIn order to be able to meticulously study the English language, an annotated text corpus was much needed. The Penn Treebank was one of the most used corpora. It consisted of IBM computer manuals, transcribed telephone conversations, and other texts, together containing over 4.5 million words of American English, annotated using both part-of-speech tagging and syntactic bracketing."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722322926.4452, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722322926.2649, "finish": 1722322926.4452, "ip": "", "conv_id": "340198e89e784b64b1d79d0e65500135", "model_name": "BAAI/bge-large-en-v1.5", "prompt": "What is NLTK?", "output": [["What is NLTK?", "Natural Language Toolkit\n\nThe Natural Language Toolkit, or more commonly NLTK, is a suite of libraries and programs for symbolic and statistical natural language processing (NLP) for English written in the Python programming language. It supports classification, tokenization, stemming, tagging, parsing, and semantic reasoning functionalities. It was developed by Steven Bird and Edward Loper in the Department of Computer and Information Science at the University of Pennsylvania. NLTK includes graphical demonstrations and sample data. It is accompanied by a book that explains the underlying concepts behind the language processing tasks supported by the toolkit, plus a cookbook.\nNLTK is intended to support research and teaching in NLP or closely related areas, including empirical linguistics, cognitive science, artificial intelligence, information retrieval, and machine learning.\nNLTK has been used successfully as a teaching tool, as an individual study tool, and as a platform for prototyping and building research systems. There are 32 universities in the US and 25 countries using NLTK in their courses.\nLibrary highlights\nDiscourse representation\nLexical analysis: Word and text tokenizer\nn-gram and collocations\nPart-of-speech tagger\nTree model and Text chunker for capturing"]], "corpus": "wikipedia"} | |
| {"tstamp": 1722322990.8571, "task_type": "retrieval", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722322990.4313, "finish": 1722322990.8571, "ip": "", "conv_id": "904708d39d7f40d69ba876b5f826d941", "model_name": "GritLM/GritLM-7B", "prompt": "What is the tallest peak in Warren Range, Antarctica?", "output": [["What is the tallest peak in Warren Range, Antarctica?", "Vinson Massif\n\nMount Vinson is the highest peak in Antarctica, at . It lies in the north part of Vinson Massif's summit plateau in the south portion of the main ridge of the Sentinel Range about north of Hollister Peak. It was first climbed in 1966 by an American team led by Nicholas Clinch. An expedition in 2001 was the first to climb via the Eastern route, and also took GPS measurements of the height of the peak. As of February 2010, 1,400 climbers have attempted to reach the summit of Mount Vinson. Mount Vinson is ranked 6th by topographic isolation.\nGeography\nThe Vinson Massif extends between Goodge Col and Branscomb Glacier to the northwest, Nimitz Glacier and Gildea Glacier to the southwest and south, and Dater Glacier and its tributary Hinkley Glacier to the east. The southeastern part of the massif ends at Hammer Col, which joins it to the Craddock Massif, of which the highest point is Mount Rutford (). The massif comprises both the high central Vinson Plateau with its few peaks rising to over , and several side ridges mostly trending southwest or northeast from the plateau.\nThe current height () of Mount Vinson was measured by a GPS survey that was conducted by the 2004 Omega Foundation team comprising Damien Gildea of Australia (leader) and Rodrigo Fica and Camilo Rada of Chile. Since 1998 and continuing through 2007, the Omega Foundation has placed a GPS receiver on the summit for a suitable period of time to obtain accurate satellite readings."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722322990.8571, "task_type": "retrieval", "type": "chat", "model": "intfloat/multilingual-e5-large-instruct", "gen_params": {}, "start": 1722322990.4313, "finish": 1722322990.8571, "ip": "", "conv_id": "a21aee4127f6494db3edb0f70eebdbc1", "model_name": "intfloat/multilingual-e5-large-instruct", "prompt": "What is the tallest peak in Warren Range, Antarctica?", "output": [["What is the tallest peak in Warren Range, Antarctica?", "Vinson Massif\n\nMount Vinson is the highest peak in Antarctica, at . It lies in the north part of Vinson Massif's summit plateau in the south portion of the main ridge of the Sentinel Range about north of Hollister Peak. It was first climbed in 1966 by an American team led by Nicholas Clinch. An expedition in 2001 was the first to climb via the Eastern route, and also took GPS measurements of the height of the peak. As of February 2010, 1,400 climbers have attempted to reach the summit of Mount Vinson. Mount Vinson is ranked 6th by topographic isolation.\nGeography\nThe Vinson Massif extends between Goodge Col and Branscomb Glacier to the northwest, Nimitz Glacier and Gildea Glacier to the southwest and south, and Dater Glacier and its tributary Hinkley Glacier to the east. The southeastern part of the massif ends at Hammer Col, which joins it to the Craddock Massif, of which the highest point is Mount Rutford (). The massif comprises both the high central Vinson Plateau with its few peaks rising to over , and several side ridges mostly trending southwest or northeast from the plateau.\nThe current height () of Mount Vinson was measured by a GPS survey that was conducted by the 2004 Omega Foundation team comprising Damien Gildea of Australia (leader) and Rodrigo Fica and Camilo Rada of Chile. Since 1998 and continuing through 2007, the Omega Foundation has placed a GPS receiver on the summit for a suitable period of time to obtain accurate satellite readings."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722323025.2085, "task_type": "retrieval", "type": "chat", "model": "nomic-ai/nomic-embed-text-v1.5", "gen_params": {}, "start": 1722323024.9941, "finish": 1722323025.2085, "ip": "", "conv_id": "e4f62079ab11428192993e45d8717927", "model_name": "nomic-ai/nomic-embed-text-v1.5", "prompt": "What is the Australian largest holistic magazine?", "output": [["What is the Australian largest holistic magazine?", "Magazine\n\nA magazine is a periodical publication, generally published on a regular schedule (often weekly or monthly), containing a variety of content. They are generally financed by advertising, purchase price, prepaid subscriptions, or by a combination of the three.\nDefinition\nIn the technical sense a journal has continuous pagination throughout a volume. Thus, Bloomberg Businessweek, which starts each issue anew with page one, is a magazine, but the Journal of Business Communication, which continues the same sequence of pagination throughout the coterminous year, is a journal. Some professional or trade publications are also peer-reviewed, for example the Journal of Accountancy. Non-peer-reviewed academic or professional publications are generally professional magazines. That a publication calls itself a journal does not make it a journal in the technical sense; The Wall Street Journal is actually a newspaper."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722323025.2085, "task_type": "retrieval", "type": "chat", "model": "embed-english-v3.0", "gen_params": {}, "start": 1722323024.9941, "finish": 1722323025.2085, "ip": "", "conv_id": "63e8ab3f20544d1eafd32af5009506d8", "model_name": "embed-english-v3.0", "prompt": "What is the Australian largest holistic magazine?", "output": [["What is the Australian largest holistic magazine?", "The Australian Women's Weekly\n\nThe Australian Women's Weekly, sometimes known as simply The Weekly, is an Australian monthly women's magazine published by Are Media in Sydney and founded in 1933. For many years it was the number one magazine in Australia before being outsold by the Australian edition of Better Homes and Gardens in 2014. , The Weekly has overtaken Better Homes and Gardens again, coming out on top as Australia's most read magazine. The magazine invested in the 2020 film I Am Woman about Helen Reddy, singer and feminist icon.\nHistory and profile\nThe magazine was started in 1933 by Frank Packer and Ted Theodore as a weekly publication. The first editor was George Warnecke and the initial dummy was laid out by William Edwin Pidgeon who went on to do many famous covers over the next 25 years. It was to have two distinctive features; firstly, the newspaper's features would have an element of topicality, and secondly the magazine would appeal to all Australian women, regardless of class, and have a national focus. Wanting it to appeal to a mass audience, Warnecke hoped The Weekly would be a sign that Australia finally was coming out of the Depression. Jean Williamson was hired (moving from the Sydney Morning Herald) where she was surprised to find that she was the editor for \"fiction\". Soon letters were arriving from women who were obviously lonely and light fiction brought them comfort."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722323066.9848, "task_type": "retrieval", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1722323066.5625, "finish": 1722323066.9848, "ip": "", "conv_id": "960b10306e064d2a9862fd9cec966605", "model_name": "Salesforce/SFR-Embedding-2_R", "prompt": "What is the Antipolo Lady of Lourdes School?", "output": [["What is the Antipolo Lady of Lourdes School?", "Antipolo Cathedral\n\nThe International Shrine of Our Lady of Peace and Good Voyage (; ), popularly known as the Antipolo Cathedral (; ) and alternatively known as the Immaculate Conception Parish (), is a Roman Catholic cathedral in Antipolo, Philippines. It enshrines a venerated Black Madonna image of the Blessed Virgin Mary under the title of Our Lady of Peace and Good Voyage (), and serves as the seat of the Bishop of Antipolo.\nThe shrine attracts millions of pilgrims annually, especially during the pilgrimage season from May to July each year.\nHistory"]], "corpus": "wikipedia"} | |
| {"tstamp": 1722323066.9848, "task_type": "retrieval", "type": "chat", "model": "voyage-multilingual-2", "gen_params": {}, "start": 1722323066.5625, "finish": 1722323066.9848, "ip": "", "conv_id": "86f7dbed9c7d4054ae51c8f5bca76139", "model_name": "voyage-multilingual-2", "prompt": "What is the Antipolo Lady of Lourdes School?", "output": [["What is the Antipolo Lady of Lourdes School?", "Antipolo\n\nOther colleges include College of San Benildo - Rizal, ACLC, AMA University Computer College - East Rizal, World Citi Colleges, and ICCT Colleges.\nThe Antipolo Institute of Technology or AiTech, established by the city government in 2014, is the first CHED-recognized Higher Education Institution (HEI) among Local Colleges and Universities (LUCs). It is the first college in the Philippines offering Bachelor in Construction Engineering Technology and Management (BCETM).\nPublic Elementary Schools\nJuan Sumulong Elementary School\nSan Isidro Elementary School\nDela Paz Elementary School\nPeñafrancia Elementary School\nLores Elementary School\nSta. Cruz Elementary School\nBagong Nayon II Elementary School\nIsaias S. Tapales Elementary School\nCupang Elementary School\nCalawis Elementary School\nPublic High Schools\nAntipolo National High School\nAntipolo City Senior High School\nAntipolo National Science & Technology High School\nCupang National High School\nSan Jose National High School\nSan Isidro National High School\nDela Paz National High School\nCalawis National High School\nMambugan National High School\nPrivate Schools\nOur Lady of Peace School (OLPS)\nAntipolo Immaculate Concepcion School (AICS)\nSumulong Memorial High School (SMHS)\nMontessori Integrated School of Antipolo (MISA)\nMarcelli School of Antipolo\nSt. Clare Montessori and Science High School\nMother Goose Montessori Grade School\nSouthridge Private High School\nWILL School of Antipolo\nSt. John Mary Vianney Academy\nLa Salle College Antipolo\nTransportation\nLand"]], "corpus": "wikipedia"} | |
| {"tstamp": 1722323177.8769, "task_type": "retrieval", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1722323177.4593, "finish": 1722323177.8769, "ip": "", "conv_id": "85a1e2d08d814c8dbb96e7f1b320b523", "model_name": "Salesforce/SFR-Embedding-2_R", "prompt": "Who did Cleopatra have a baby with?", "output": [["Who did Cleopatra have a baby with?", "Cleopatra Selene II\n\nCleopatra Selene II (Greek: Κλεοπάτρα Σελήνη; summer 40 BC – BC; the numeration is modern) was a Ptolemaic princess, Queen of Numidia (briefly in 25 BC) and Mauretania (25 BC – 5 BC) and Queen of Cyrenaica (34 BC – 30 BC). She was an important royal woman in the early Augustan age.\nCleopatra Selene was the only daughter of Greek Ptolemaic Queen Cleopatra VII of Egypt and Roman Triumvir Mark Antony. In the Donations of Antioch and of Alexandria, she was made queen of Cyrenaica and Libya. After Antony and Cleopatra's defeat at Actium and their suicides in Egypt in 30 BC, Selene and her brothers were brought to Rome and placed in the household of Octavian's sister, Octavia the Younger, a former wife of her father.\nSelene married Juba II of Numidia and Mauretania. She had great influence in Mauretania's government decisions, especially regarding trade and construction projects. During their reign, the country became extremely wealthy. The couple had a son and successor, Ptolemy of Mauretania. Through their granddaughter Drusilla, the Ptolemaic line intermarried into Roman nobility for many generations.\nEarly life"]], "corpus": "wikipedia"} | |
| {"tstamp": 1722323177.8769, "task_type": "retrieval", "type": "chat", "model": "intfloat/e5-mistral-7b-instruct", "gen_params": {}, "start": 1722323177.4593, "finish": 1722323177.8769, "ip": "", "conv_id": "f0684e70908c49fbbd04e82653771ae6", "model_name": "intfloat/e5-mistral-7b-instruct", "prompt": "Who did Cleopatra have a baby with?", "output": [["Who did Cleopatra have a baby with?", "Caesarion\n\nPtolemy XV Caesar (; , ; 23 June 47 BC – 29 August 30 BC), nicknamed Caesarion (, , \"Little Caesar\"), was the last pharaoh of Ptolemaic Egypt, reigning with his mother Cleopatra VII from 2 September 44 BC until her death by 12 August 30 BC, then as sole ruler until his death was ordered by Octavian (who would become the first Roman emperor as Augustus).\nCaesarion was the eldest son of Cleopatra and the only known biological son of Julius Caesar, after whom he was named. He was the last sovereign member of the Ptolemaic dynasty of Egypt."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722323271.3011, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722323271.0615, "finish": 1722323271.3011, "ip": "", "conv_id": "00d652f1a43645d78978d938ceec2a54", "model_name": "BAAI/bge-large-en-v1.5", "prompt": "What is Twitter?", "output": [["What is Twitter?", "Twitter\n\nX, commonly referred to by its former name Twitter, is a social networking service. It is one of the world's largest social media websites and the seventh-most visited website in the world. Users can share short text messages, images, and videos in posts (formerly \"tweets\") and like or repost/retweet other users' content. X also includes direct messaging, video and audio calling, bookmarks, lists and communities, and Spaces, a social audio feature. Users can vote on context added by approved users using the Community Notes feature.\nTwitter was created in March 2006 by Jack Dorsey, Noah Glass, Biz Stone, and Evan Williams, and was launched in July of that year. Twitter grew quickly; by 2012 more than 100 million users produced 340 million tweets per day. Twitter, Inc., was based in San Francisco, California, and had more than 25 offices around the world. A signature characteristic of the service is that posts are required to be brief. Posts were initially limited to 140 characters, which was changed to 280 characters in 2017 and removed for paid accounts in 2023. The majority of tweets are produced by a minority of users. In 2020, it was estimated that approximately 48 million accounts (15 percent of all accounts) were not genuine people."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722323271.3011, "task_type": "retrieval", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1722323271.0615, "finish": 1722323271.3011, "ip": "", "conv_id": "04719f7eea0f496692e75d85656d0b47", "model_name": "Salesforce/SFR-Embedding-2_R", "prompt": "What is Twitter?", "output": [["What is Twitter?", "Twitter\n\nX, commonly referred to by its former name Twitter, is a social networking service. It is one of the world's largest social media websites and the seventh-most visited website in the world. Users can share short text messages, images, and videos in posts (formerly \"tweets\") and like or repost/retweet other users' content. X also includes direct messaging, video and audio calling, bookmarks, lists and communities, and Spaces, a social audio feature. Users can vote on context added by approved users using the Community Notes feature.\nTwitter was created in March 2006 by Jack Dorsey, Noah Glass, Biz Stone, and Evan Williams, and was launched in July of that year. Twitter grew quickly; by 2012 more than 100 million users produced 340 million tweets per day. Twitter, Inc., was based in San Francisco, California, and had more than 25 offices around the world. A signature characteristic of the service is that posts are required to be brief. Posts were initially limited to 140 characters, which was changed to 280 characters in 2017 and removed for paid accounts in 2023. The majority of tweets are produced by a minority of users. In 2020, it was estimated that approximately 48 million accounts (15 percent of all accounts) were not genuine people."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722323341.6208, "task_type": "retrieval", "type": "chat", "model": "nomic-ai/nomic-embed-text-v1.5", "gen_params": {}, "start": 1722323341.3702, "finish": 1722323341.6208, "ip": "", "conv_id": "17f8f0d948cb43ce8a7c56d47e680147", "model_name": "nomic-ai/nomic-embed-text-v1.5", "prompt": "What province is Utrecht located in?", "output": [["What province is Utrecht located in?", "Utrecht (province)\n\nUtrecht (), officially the Province of Utrecht (), is a province of the Netherlands. It is located in the centre of the country, bordering the Eemmeer in the north-east, the province of Gelderland in the east and south-east, the province of South Holland in the west and south-west and the province of North Holland in the north-west and north. The province of Utrecht has a population of about 1,388,000 as of January 2023. With a land area of approximately , it is the second smallest province in the country. Apart from its eponymous capital, major cities and towns in the province are Amersfoort, Houten, IJsselstein, Nieuwegein, Veenendaal and Zeist. The busiest railway station in the Netherlands, Utrecht Centraal, is located in the province of Utrecht."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722323341.6208, "task_type": "retrieval", "type": "chat", "model": "Alibaba-NLP/gte-Qwen2-7B-instruct", "gen_params": {}, "start": 1722323341.3702, "finish": 1722323341.6208, "ip": "", "conv_id": "c63e2ac5acd24904b31234b484497118", "model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "prompt": "What province is Utrecht located in?", "output": [["What province is Utrecht located in?", "Randstad\n\nThe publication \"Randstad 2040\", released by the Government of the Netherlands, reveals that the Noordvleugel (Amsterdam and Utrecht region) is already growing parallel to the A1, A2, and A4 motorways, as well as into the northern part of North Holland (Alkmaar and Hoorn region) and Flevoland (Almere and Lelystad region). There is also a trend shown that the Noordvleugel is expanding parallel to the A2 (Amsterdam towards Eindhoven) and A12 (Utrecht towards the WERV region, encompassing the cities of Wageningen, Ede, Rhenen and Veenendaal) motorways. This region is called the Zuidoostflank (English: Southeastside).\nCulture\nIt is sometimes argued that a cultural divide exists between the Randstad and the rest of the country. This distinction is usually made in relation to Dutch politics and media, who according to critics are mostly interested in the affairs of the Randstad. Both branches (government and media) have their centre in the Randstad; respectively in The Hague and in Hilversum. The Randstad itself, however, does not represent a unified cultural zone. It is not a 'place' of residence or a carrier of cultural identity. According to the late influential urbanist Niek de Boer, the Randstad simply 'does not exist'. While the cities and landscapes in the Randstad share some commonalities, there are also large differences originating in centuries of divergent development. There are strong local identities within the region, especially in rural environments.\nPolitically, the Randstad is broadly right-leaning and conservative, with student cities, including Amsterdam, Utrecht, Haarlem, Leiden and Delft, being more left-leaning and progressive.\nThe Randstad is home to some of the most reputable universities in Europe, including the University of Amsterdam, the VU Amsterdam, Leiden University, Erasmus University Rotterdam, Utrecht University and the Delft University of Technology."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722323376.2262, "task_type": "retrieval", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1722323375.9838, "finish": 1722323376.2262, "ip": "", "conv_id": "b979de4d9b3f432897f05ebeba192fed", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "prompt": "how many blue stripes are on the american flag", "output": [["how many blue stripes are on the american flag", "Flag of the United States\n\nThe national flag of the United States, often referred to as the American flag or the U.S. flag, consists of thirteen equal horizontal stripes of red (top and bottom) alternating with white, with a blue rectangle in the canton, referred to as the union and bearing fifty small, white, five-pointed stars arranged in nine offset horizontal rows, where rows of six stars (top and bottom) alternate with rows of five stars. The 50 stars on the flag represent the 50 U.S. states, and the 13 stripes represent the thirteen British colonies that declared independence from Great Britain, which they went on to secure by their victory in the American Revolutionary War.\nNicknames for the flag include the Stars and Stripes, Old Glory, and the Star-Spangled Banner. Credit for the term \"Stars and Stripes\" has been given to the Marquis de Lafayette, a French soldier who volunteered his aid to the Continental Army, led by George Washington, in the Revolutionary War against Britain.\nHistory\nThe current design of the U.S. flag is its 27th; the design of the flag has been modified officially 26 times since 1777. The 48-star flag was in effect for 47 years until the 49-star version became official on July 4, 1959. The 50-star flag was ordered by then president Eisenhower on August 21, 1959, and was adopted in July 1960. It is the longest-used version of the U.S. flag and has been in use for over years."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722323376.2262, "task_type": "retrieval", "type": "chat", "model": "intfloat/e5-mistral-7b-instruct", "gen_params": {}, "start": 1722323375.9838, "finish": 1722323376.2262, "ip": "", "conv_id": "54ddc092badb403c8196a8a2f9b11dff", "model_name": "intfloat/e5-mistral-7b-instruct", "prompt": "how many blue stripes are on the american flag", "output": [["how many blue stripes are on the american flag", "Flag of the United States\n\nThe national flag of the United States, often referred to as the American flag or the U.S. flag, consists of thirteen equal horizontal stripes of red (top and bottom) alternating with white, with a blue rectangle in the canton, referred to as the union and bearing fifty small, white, five-pointed stars arranged in nine offset horizontal rows, where rows of six stars (top and bottom) alternate with rows of five stars. The 50 stars on the flag represent the 50 U.S. states, and the 13 stripes represent the thirteen British colonies that declared independence from Great Britain, which they went on to secure by their victory in the American Revolutionary War.\nNicknames for the flag include the Stars and Stripes, Old Glory, and the Star-Spangled Banner. Credit for the term \"Stars and Stripes\" has been given to the Marquis de Lafayette, a French soldier who volunteered his aid to the Continental Army, led by George Washington, in the Revolutionary War against Britain.\nHistory\nThe current design of the U.S. flag is its 27th; the design of the flag has been modified officially 26 times since 1777. The 48-star flag was in effect for 47 years until the 49-star version became official on July 4, 1959. The 50-star flag was ordered by then president Eisenhower on August 21, 1959, and was adopted in July 1960. It is the longest-used version of the U.S. flag and has been in use for over years."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722323397.4203, "task_type": "retrieval", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1722323397.1226, "finish": 1722323397.4203, "ip": "", "conv_id": "d7deac95111849b5a67aa34d71f5d40a", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": "what must be present for a combustion reaction to occur", "output": [["what must be present for a combustion reaction to occur", "Combustion\n\nCombustion of hydrocarbons is thought to be initiated by hydrogen atom abstraction (not proton abstraction) from the fuel to oxygen, to give a hydroperoxide radical (HOO). This reacts further to give hydroperoxides, which break up to give hydroxyl radicals. There are a great variety of these processes that produce fuel radicals and oxidizing radicals. Oxidizing species include singlet oxygen, hydroxyl, monatomic oxygen, and hydroperoxyl. Such intermediates are short-lived and cannot be isolated. However, non-radical intermediates are stable and are produced in incomplete combustion. An example is acetaldehyde produced in the combustion of ethanol. An intermediate in the combustion of carbon and hydrocarbons, carbon monoxide, is of special importance because it is a poisonous gas, but also economically useful for the production of syngas.\nSolid and heavy liquid fuels also undergo a great number of pyrolysis reactions that give more easily oxidized, gaseous fuels. These reactions are endothermic and require constant energy input from the ongoing combustion reactions. A lack of oxygen or other improperly designed conditions result in these noxious and carcinogenic pyrolysis products being emitted as thick, black smoke.\nThe rate of combustion is the amount of a material that undergoes combustion over a period of time. It can be expressed in grams per second (g/s) or kilograms per second (kg/s)."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722323397.4203, "task_type": "retrieval", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1722323397.1226, "finish": 1722323397.4203, "ip": "", "conv_id": "b2c7ffa0ae854719b26bc29a9bcbaca1", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "prompt": "what must be present for a combustion reaction to occur", "output": [["what must be present for a combustion reaction to occur", "Combustion\n\nComplete In complete combustion, the reactant burns in oxygen and produces a limited number of products. When a hydrocarbon burns in oxygen, the reaction will primarily yield carbon dioxide and water. When elements are burned, the products are primarily the most common oxides. Carbon will yield carbon dioxide, sulfur will yield sulfur dioxide, and iron will yield iron(III) oxide. Nitrogen is not considered to be a combustible substance when oxygen is the oxidant. Still, small amounts of various nitrogen oxides (commonly designated species) form when the air is the oxidative.\nCombustion is not necessarily favorable to the maximum degree of oxidation, and it can be temperature-dependent. For example, sulfur trioxide is not produced quantitatively by the combustion of sulfur. species appear in significant amounts above about , and more is produced at higher temperatures. The amount of is also a function of oxygen excess.\nIn most industrial applications and in fires, air is the source of oxygen (). In the air, each mole of oxygen is mixed with approximately of nitrogen. Nitrogen does not take part in combustion, but at high temperatures, some nitrogen will be converted to (mostly , with much smaller amounts of ). On the other hand, when there is insufficient oxygen to combust the fuel completely, some fuel carbon is converted to carbon monoxide, and some of the hydrogens remain unreacted. A complete set of equations for the combustion of a hydrocarbon in the air, therefore, requires an additional calculation for the distribution of oxygen between the carbon and hydrogen in the fuel."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722323414.4823, "task_type": "retrieval", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722323414.2538, "finish": 1722323414.4823, "ip": "", "conv_id": "5a7d7a7ba0d642f1b4add211cd8f2914", "model_name": "GritLM/GritLM-7B", "prompt": "what does it mean when a guy calls you his unicorn?", "output": [["what does it mean when a guy calls you his unicorn?", "English Stackexchange\n\nQ: What does \"in the world of unicorns\" mean? I was reading one article where founder was talking about his failure due to inability to raise money for his startup. He says:\n\nEvery investor is chasing something shiny, they do not care for the ecosystem at all. In the world of unicorns it is really hard to see any other animal.\n\nWhat does \"in the world of unicorns\" mean here?\n\nA: \"in the world of unicorns\", as jargon of the financial world, has already been explained in one answer. The expression is used with a different meaning in other contexts, though.\nUnicorns are mythological horse-like figures. \"In the world of unicorns\", therefore, means \"in dreams\", or \"in an imaginary world\"\nexamples:\n\n\n*\n\n*\"The perfect mother exists only in the world of unicorns\"\n\n*\"In the world of unicorns and gullible contemplative readers, there is no point to worryingly questioning eternal truths confirmed by age-old, daily, unalterable, ...\n\n*\"Do you guys live in the world of unicorns and rainbows? Never mind, that was a rhetorical question.\"\n\n"]], "corpus": "stackexchange"} | |
| {"tstamp": 1722323414.4823, "task_type": "retrieval", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1722323414.2538, "finish": 1722323414.4823, "ip": "", "conv_id": "9a6eb0b921854aa2ac7b1fe1e033df70", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "prompt": "what does it mean when a guy calls you his unicorn?", "output": [["what does it mean when a guy calls you his unicorn?", "English Stackexchange\n\nQ: What does \"in the world of unicorns\" mean? I was reading one article where founder was talking about his failure due to inability to raise money for his startup. He says:\n\nEvery investor is chasing something shiny, they do not care for the ecosystem at all. In the world of unicorns it is really hard to see any other animal.\n\nWhat does \"in the world of unicorns\" mean here?\n\nA: \"in the world of unicorns\", as jargon of the financial world, has already been explained in one answer. The expression is used with a different meaning in other contexts, though.\nUnicorns are mythological horse-like figures. \"In the world of unicorns\", therefore, means \"in dreams\", or \"in an imaginary world\"\nexamples:\n\n\n*\n\n*\"The perfect mother exists only in the world of unicorns\"\n\n*\"In the world of unicorns and gullible contemplative readers, there is no point to worryingly questioning eternal truths confirmed by age-old, daily, unalterable, ...\n\n*\"Do you guys live in the world of unicorns and rainbows? Never mind, that was a rhetorical question.\"\n\n"]], "corpus": "stackexchange"} | |
| {"tstamp": 1722323448.5521, "task_type": "retrieval", "type": "chat", "model": "voyage-multilingual-2", "gen_params": {}, "start": 1722323448.1617, "finish": 1722323448.5521, "ip": "", "conv_id": "100163aa866147609fbd9d951dfafbd5", "model_name": "voyage-multilingual-2", "prompt": "bosnia and herzegovina croatia macedonia and slovenia all used to be parts of", "output": [["bosnia and herzegovina croatia macedonia and slovenia all used to be parts of", "List of former sovereign states\n\nKingdom of Croatia-Slavonia (1868–1918) Free State of Fiume (1920–1924)\nIndependent State of Croatia (1941–1945)\nFree Territory of Trieste (1947–1954)\nRepublic of Ragusa (1358–1808)\nRepublic of Serbian Krajina (1991–1995)\nIn Greece:\nFirst Hellenic Republic (1828–1832)\nAreopagus of Eastern Continental Greece (1821–1825)\nKingdom of Greece (1832–1924, 1935–1941, 1944–1974)\nUnited States of the Ionian Islands (1815–1864)\nSeptinsular Republic (1800–1815)\nPrincipality of Samos (1815–1864)\nCretan State (1898–1913)\nFree State of Ikaria (1912)\nItalian Islands of the Aegean (1912–1945)\nIn Montenegro:\nPrince-Bishopric of Montenegro (1516–1852)\nPrincipality of Montenegro (1852–1910)\nKingdom of Montenegro (1910–1918)\nItalian governorate of Montenegro (1941–1943)\nGerman-occupied territory of Montenegro (1943–1944)\nIn North Macedonia:\nKruševo Republic (1903)\nIndependent Macedonia (1944) [proposed]\nIn Serbia:\nRevolutionary Serbia (1804–1813)\nPrincipality of Serbia (1815–1882)\nKingdom of Serbia (1882–1918)\nState of Slovenes, Croats and Serbs (1918)\nKingdom of Yugoslavia (1929–1943)\nSocialist Federal Republic of Yugoslavia (1943–1992)\n(1992–2003)\n(2003–2006)\nRepublic of Kosova (1991–1999)\nIn Turkey:\nByzantine Empire (395–1453)\nDuchy of Athens (1205–1458)\nDespotate of Epirus (1356–1479)\nEmpire of Nicaea (1204–1261)\nOttoman Empire (–1922)\nGovernment of the Grand National Assembly (1920–1923)\nCaucasus\nCaucasian Albania (2nd century BC–8th century AD)\nKabardia (–)\nCircassia (13th century–1864)\nKingdom of Abkhazia (778–1008)\nElisu Sultanate (1604–1844)\nAvar Khanate (13th century–1864)\nCaucasian Imamate (1828–1859)\nMountainous Republic of the Northern Caucasus (1917–1921)"]], "corpus": "wikipedia"} | |
| {"tstamp": 1722323448.5521, "task_type": "retrieval", "type": "chat", "model": "embed-english-v3.0", "gen_params": {}, "start": 1722323448.1617, "finish": 1722323448.5521, "ip": "", "conv_id": "f55fcfc3f40a44b78ce217170a72ce9e", "model_name": "embed-english-v3.0", "prompt": "bosnia and herzegovina croatia macedonia and slovenia all used to be parts of", "output": [["bosnia and herzegovina croatia macedonia and slovenia all used to be parts of", "Partition of Bosnia and Herzegovina\n\nBackground Bosnia and Herzegovina has been a single entity occupying roughly the same territory since the rise of the medieval Kingdom of Bosnia and the subsequent Ottoman conquest of Bosnia between the 1380s and 1590s. The borders of today's Bosnia and Herzegovina were largely set as the borders of the Ottoman-era Eyalet of Bosnia, fixed in the south and west by the 1699 Treaty of Karlowitz, in the north by the 1739 Treaty of Belgrade, and in the east by the 1878 Treaty of Berlin.\nAlthough formally under Ottoman sovereignty, Austria-Hungary occupied the territory and created the Condominium of Bosnia and Herzegovina in 1878 before officially annexing it in 1908. Following World War I and the dissolution of Austria-Hungary, the territory passed in whole to the newly formed Kingdom of the Serbs, Croats and Slovenes in 1918. In 1922, it was internally divided into six oblasts of the Kingdom of Serbs, Croats and Slovenes.\nKingdom of Yugoslavia\nIn 1929, the oblasts were replaced with four Banovinas of the Kingdom of Yugoslavia, but all of them also included regions outside of Bosnia and Herzegovina.\nThe Cvetković–Maček Agreement that created the Banovina of Croatia in 1939 encouraged what was essentially a partition of Bosnia between Croatia and Serbia. The agreement angered Bosniaks, then known as Yugoslav Muslims, including the Yugoslav Muslim Organization (JMO) that denounced the agreement's partition of Bosnia and Herzegovina."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722323472.1122, "task_type": "retrieval", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1722323471.8481, "finish": 1722323472.1122, "ip": "", "conv_id": "fe98e64eaafd4fd9b9c77f502b989a95", "model_name": "Salesforce/SFR-Embedding-2_R", "prompt": "when does clark meet the flash in smallville", "output": [["when does clark meet the flash in smallville", "Clark Kent (Smallville)\n\nIn the season five premiere, Clark interrupts his training to return to Smallville, but when he fails to return to the Fortress before the Sun sets, he is stripped of his powers. In the episode \"Hidden\", Clark begins an honest relationship with Lana, but is killed trying to save the town from a resident who hopes to kill all of the \"... meteor freaks\". Jor-El resurrects Clark, but warns him that someone he loves will eventually have to take his place. Clark worries about who will be sacrificed in return for him being saved. In the episode \"Reckoning\", Lana is killed. Unwilling to accept this, Clark turns back time to save her. As a result, it is Clark's adoptive father that becomes the sacrifice when he suffers a fatal heart attack. In the season five finale, Clark battles Brainiac (James Marsters), a Kryptonian artificial intelligence in the form of a man. Clark fights to stop Brainiac from releasing the Kryptonian criminal Zod from the Phantom Zone. Clark fails, and becomes himself imprisoned in the Phantom Zone, while Zod escapes and sets out to conquer Earth.\nIn the season six premiere, Clark escapes the Phantom Zone — inadvertently releasing several of the prisoners in the process — and returns to Smallville, where he fights and defeats Zod. The other Phantom Zone escapees become Clark's primary focus in season six. He must also deal with Lana's romantic relationship with Lex, which culminates in their engagement in the season six episode \"Promise\". The season six finale reveals that the last of the Phantom Zone criminals is really a genetic experiment created by Kryptonian scientists. The escapee attacks Clark, cloning his DNA, and becomes Clark's doppelgänger. In the season seven premiere, Clark, together with John Jones (Phil Morris), defeats his doppelgänger. As the season continues, Clark discovers that a secret society known as Veritas was aware of his landing in Smallville during the first meteor shower and, moreover, possess a device that supposedly allows them to control him. In the season seven finale, Clark is confronted by Lex at the Fortress of Solitude. Lex has discovered Clark's secret and possesses the Veritas device, which he uses, resulting in the Fortress collapsing on him and Clark."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722323472.1122, "task_type": "retrieval", "type": "chat", "model": "nomic-ai/nomic-embed-text-v1.5", "gen_params": {}, "start": 1722323471.8481, "finish": 1722323472.1122, "ip": "", "conv_id": "46997330c0d44e7f9f2c07ed7634469c", "model_name": "nomic-ai/nomic-embed-text-v1.5", "prompt": "when does clark meet the flash in smallville", "output": [["when does clark meet the flash in smallville", "Clark Kent (Smallville)\n\nClark Kent is a fictional character and the main protagonist on The WB/CW television series Smallville. The character of Clark Kent, first created for comic books by Jerry Siegel and Joe Shuster in 1938 as the civilian persona of DC Comics' Superman, was adapted to television in 2001 by Alfred Gough and Miles Millar. This is the fourth time the character has been adapted to a live-action television series. Clark Kent has been played continually by Tom Welling, with various other actors portraying Clark as a child. The character has also appeared in various literature based on the Smallville series, all of which are completely independent of the television episodes. As of 2011, Smallvilles Clark Kent has appeared in eighteen young adult novels.\nIn the series, Clark Kent attempts to live the life of a normal human being, and struggles with keeping the secret of his alien heritage from his friends. He has an on-again, off-again relationship with childhood friend Lana Lang through the first seven seasons, the trials of which are based on his lack of honesty about his secret, which eventually gives way to the traditional relationship with Daily Planet co-worker Lois Lane. In contrast to previous incarnations of the character, this Clark Kent starts out best friends with Lex Luthor, whom he meets after saving the latter's life. The pair's friendship eventually deteriorates into hatred for one another. In Smallville, Clark's powers appear over time, as he is not aware of all of them at the start of the show; for instance, his heat vision and super breath do not develop until season two and six, respectively."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722323517.1689, "task_type": "retrieval", "type": "chat", "model": "text-embedding-3-large", "gen_params": {}, "start": 1722323514.5071, "finish": 1722323517.1689, "ip": "", "conv_id": "c15c1f9386524ab895d7458a8bdbc5c4", "model_name": "text-embedding-3-large", "prompt": "who sings oh what a night late december back in 63", "output": [["who sings oh what a night late december back in 63", "December, 1963 (Oh, What a Night)\n\n\"December, 1963 (Oh, What a Night)\" is a song originally performed by the Four Seasons, written by original Four Seasons keyboard player Bob Gaudio and his future wife Judy Parker, produced by Gaudio, and included on the group's album Who Loves You (1975).\nThe song features drummer Gerry Polci on lead vocals, with Frankie Valli, the group's usual lead vocalist, singing the bridge sections and backing vocals and bass player Don Ciccone singing the falsetto part.\nSong origins\nAccording to the co-writer and longtime group member Bob Gaudio, the song's lyrics were originally set in 1933 with the title \"December 5th, 1933,\" and celebrated the repeal of Prohibition, but after the band revolted against what Gaudio would admit was a \"silly\" lyric being paired with an instrumental groove they knew would be a hit, Parker, who had not written a song lyric before by that point, wrote a new set of lyrics. By Gaudio's account, the song was a recollection of his and Parker's first meeting. In real life, Parker and Gaudio had not met until 1973, when both were working as producers for Motown Records. Parker indicated that the lyrics had a more hypothetical origin, as she imagined what a man would react to his first time, while at the same time trying to maintain a degree of innocence upon which the Four Seasons had built their brand."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722323517.1689, "task_type": "retrieval", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1722323514.5071, "finish": 1722323517.1689, "ip": "", "conv_id": "b1090d755a334a248da374f11ebff0c1", "model_name": "text-embedding-004", "prompt": "who sings oh what a night late december back in 63", "output": [["who sings oh what a night late december back in 63", "December, 1963 (Oh, What a Night)\n\n\"December, 1963 (Oh, What a Night)\" is a song originally performed by the Four Seasons, written by original Four Seasons keyboard player Bob Gaudio and his future wife Judy Parker, produced by Gaudio, and included on the group's album Who Loves You (1975).\nThe song features drummer Gerry Polci on lead vocals, with Frankie Valli, the group's usual lead vocalist, singing the bridge sections and backing vocals and bass player Don Ciccone singing the falsetto part.\nSong origins\nAccording to the co-writer and longtime group member Bob Gaudio, the song's lyrics were originally set in 1933 with the title \"December 5th, 1933,\" and celebrated the repeal of Prohibition, but after the band revolted against what Gaudio would admit was a \"silly\" lyric being paired with an instrumental groove they knew would be a hit, Parker, who had not written a song lyric before by that point, wrote a new set of lyrics. By Gaudio's account, the song was a recollection of his and Parker's first meeting. In real life, Parker and Gaudio had not met until 1973, when both were working as producers for Motown Records. Parker indicated that the lyrics had a more hypothetical origin, as she imagined what a man would react to his first time, while at the same time trying to maintain a degree of innocence upon which the Four Seasons had built their brand."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722323673.3774, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722323673.2104, "finish": 1722323673.3774, "ip": "", "conv_id": "d05a23def59e46b4803a8069fb638c59", "model_name": "BAAI/bge-large-en-v1.5", "prompt": "are wheels and tires the same thing?", "output": [["are wheels and tires the same thing?", "English Stackexchange\n\nQ: What’s the difference between \"tire\" and \"tyre\"? Basically, everything is in the title.\nI've seen on the web that tire is US English, while tyre is British English.\nBut then I asked some British friends graduating in Language and Literature, and they said to me that tyre tends to disappear in England.\nCould somebody confirm this for me?\n\nA: Your web research is correct. Your friends may be correct in their social circle, but across the whole of England they are not correct. As a quick check, I looked at UK websites for vehicle servicing:\nkwik-fit:\n\nWe stock a wide range of tyres\n\nHalfords Autocentres:\n\nBook tyres online with our quick and easy tyre size finder. \n\n"]], "corpus": "stackexchange"} | |
| {"tstamp": 1722323673.3774, "task_type": "retrieval", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1722323673.2104, "finish": 1722323673.3774, "ip": "", "conv_id": "aac08c9f83ea411baac1075785e541b8", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "prompt": "are wheels and tires the same thing?", "output": [["are wheels and tires the same thing?", "English Stackexchange\n\nQ: What’s the difference between \"tire\" and \"tyre\"? Basically, everything is in the title.\nI've seen on the web that tire is US English, while tyre is British English.\nBut then I asked some British friends graduating in Language and Literature, and they said to me that tyre tends to disappear in England.\nCould somebody confirm this for me?\n\nA: Your web research is correct. Your friends may be correct in their social circle, but across the whole of England they are not correct. As a quick check, I looked at UK websites for vehicle servicing:\nkwik-fit:\n\nWe stock a wide range of tyres\n\nHalfords Autocentres:\n\nBook tyres online with our quick and easy tyre size finder. \n\n"]], "corpus": "stackexchange"} | |
| {"tstamp": 1722323701.9646, "task_type": "retrieval", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1722323701.8234, "finish": 1722323701.9646, "ip": "", "conv_id": "cfcda1f7681d4cffb17d34a6aac5bd39", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "prompt": "Using monolingual data to improve ASR on code-switching languages.", "output": [["Using monolingual data to improve ASR on code-switching languages.", "Title: Language Modeling for Code-Switching: Evaluation, Integration of Monolingual Data, and Discriminative Training\n\nAbstract: We focus on the problem of language modeling for code-switched language, in the context of automatic speech recognition (ASR). Language modeling for code-switched language is challenging for (at least) three reasons: (1) lack of available large-scale code-switched data for training; (2) lack of a replicable evaluation setup that is ASR directed yet isolates language modeling performance from the other intricacies of the ASR system; and (3) the reliance on generative modeling. We tackle these three issues: we propose an ASR-motivated evaluation setup which is decoupled from an ASR system and the choice of vocabulary, and provide an evaluation dataset for English-Spanish code-switching. This setup lends itself to a discriminative training approach, which we demonstrate to work better than generative language modeling. Finally, we explore a variety of training protocols and verify the effectiveness of training with large amounts of monolingual data followed by fine-tuning with small amounts of code-switched data, for both the generative and discriminative cases."]], "corpus": "arxiv"} | |
| {"tstamp": 1722323701.9646, "task_type": "retrieval", "type": "chat", "model": "sentence-transformers/all-MiniLM-L6-v2", "gen_params": {}, "start": 1722323701.8234, "finish": 1722323701.9646, "ip": "", "conv_id": "c22b5039c2054c1bb22922177a2ac459", "model_name": "sentence-transformers/all-MiniLM-L6-v2", "prompt": "Using monolingual data to improve ASR on code-switching languages.", "output": [["Using monolingual data to improve ASR on code-switching languages.", "Title: Modelling Collective Opinion Formation by Means of Active Brownian Particles\n\nAbstract: The concept of active Brownian particles is used to model a collective opinion formation process. It is assumed that individuals in community create a two-component communication field that influences the change of opinions of other persons and/or can induce their migration. The communication field is described by a reaction-diffusion equation, the opinion change of the individuals is given by a master equation, while the migration is described by a set of Langevin equations, coupled by the communication field. In the mean-field limit holding for fast communication we derive a critical population size, above which the community separates into a majority and a minority with opposite opinions. The existence of external support (e.g. from mass media) changes the ratio between minority and majority, until above a critical external support the supported subpopulation exists always as a majority. Spatial effects lead to two critical ``social'' temperatures, between which the community exists in a metastable state, thus fluctuations below a certain critical wave number may result in a spatial opinion separation. The range of metastability is particularly determined by a parameter characterizing the individual response to the communication field. In our discussion, we draw analogies to phase transitions in physical systems."]], "corpus": "arxiv"} | |
| {"tstamp": 1722323942.7519, "task_type": "retrieval", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1722323940.6104, "finish": 1722323942.7519, "ip": "", "conv_id": "d465b272318c4585b28bdf1eb85d56da", "model_name": "text-embedding-004", "prompt": "What is Coagulation factor 8?", "output": [["What is Coagulation factor 8?", "Factor VIII\n\nCoagulation factor VIII (Factor VIII, FVIII, also known as anti-hemophilic factor (AHF)) is an essential blood clotting protein. In humans, it is encoded by F8 gene. Defects in this gene result in hemophilia A, an X-linked bleeding disorder.\nFactor VIII is produced in the liver's sinusoidal cells and endothelial cells outside the liver throughout the body. This protein circulates in the bloodstream in an inactive form, bound to another molecule called von Willebrand factor, until an injury that damages blood vessels occurs. In response to injury, coagulation factor VIII is activated and separates from von Willebrand factor. The active protein (sometimes written as coagulation factor VIIIa) interacts with another coagulation factor called factor IX. This interaction sets off a chain of additional chemical reactions that form a blood clot."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722323942.7519, "task_type": "retrieval", "type": "chat", "model": "sentence-transformers/all-MiniLM-L6-v2", "gen_params": {}, "start": 1722323940.6104, "finish": 1722323942.7519, "ip": "", "conv_id": "efa79c47ab3d48ddb151be6f096bae88", "model_name": "sentence-transformers/all-MiniLM-L6-v2", "prompt": "What is Coagulation factor 8?", "output": [["What is Coagulation factor 8?", "Coagulation\n\nContact activation pathway (intrinsic) The contact activation pathway begins with formation of the primary complex on collagen by high-molecular-weight kininogen (HMWK), prekallikrein, and FXII (Hageman factor). Prekallikrein is converted to kallikrein and FXII becomes FXIIa. FXIIa converts FXI into FXIa. Factor XIa activates FIX, which with its co-factor FVIIIa form the tenase complex, which activates FX to FXa. The minor role that the contact activation pathway has in initiating blood clot formation can be illustrated by the fact that individuals with severe deficiencies of FXII, HMWK, and prekallikrein do not have a bleeding disorder. Instead, contact activation system seems to be more involved in inflammation, and innate immunity. Despite this, interference with the pathway may confer protection against thrombosis without a significant bleeding risk.\nFinal common pathway\nThe division of coagulation in two pathways is arbitrary, originating from laboratory tests in which clotting times were measured either after the clotting was initiated by glass, the intrinsic pathway; or clotting was initiated by thromboplastin (a mix of tissue factor and phospholipids), the extrinsic pathway.\nFurther, the final common pathway scheme implies that prothrombin is converted to thrombin only when acted upon by the intrinsic or extrinsic pathways, which is an oversimplification. In fact, thrombin is generated by activated platelets at the initiation of the platelet plug, which in turn promotes more platelet activation."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722325027.3, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722325026.7929, "finish": 1722325027.3, "ip": "", "conv_id": "f437af0ac7124e069c5aa5945335a723", "model_name": "BAAI/bge-large-en-v1.5", "prompt": "A metric for diversity in rankings in retrieval", "output": [["A metric for diversity in rankings in retrieval", "Title: A Ranking Algorithm for Re-finding\n\nAbstract: Re-finding files from a personal computer is a frequent demand to users. When encountered a difficult re-finding task, people may not recall the attributes used by conventional re-finding methods, such as a file's path, file name, keywords etc., the re-finding would fail. We proposed a method to support difficult re-finding tasks. By asking the user a list of questions about the target, such as a document's pages, author numbers, accumulated reading time, last reading location etc. Then use the user's answers to filter out the target. After the user answered a list of questions about the target file, we evaluate the user's familiar degree about the target file based on the answers. We devise a ranking algorithm which sorts the candidates by comparing the user's familiarity degree about the target and the candidates. We also propose a method to generate re-finding tasks artificially based on the user's own document corpus."]], "corpus": "arxiv"} | |
| {"tstamp": 1722325027.3, "task_type": "retrieval", "type": "chat", "model": "text-embedding-3-large", "gen_params": {}, "start": 1722325026.7929, "finish": 1722325027.3, "ip": "", "conv_id": "9332df36b036426a98f95027f37c0247", "model_name": "text-embedding-3-large", "prompt": "A metric for diversity in rankings in retrieval", "output": [["A metric for diversity in rankings in retrieval", "Title: Structural Learning of Diverse Ranking\n\nAbstract: Relevance and diversity are both crucial criteria for an effective search system. In this paper, we propose a unified learning framework for simultaneously optimizing both relevance and diversity. Specifically, the problem is formalized as a structural learning framework optimizing Diversity-Correlated Evaluation Measures (DCEM), such as ERR-IA, a-NDCG and NRBP. Within this framework, the discriminant function is defined to be a bi-criteria objective maximizing the sum of the relevance scores and dissimilarities (or diversity) among the documents. Relevance and diversity features are utilized to define the relevance scores and dissimilarities, respectively. Compared with traditional methods, the advantages of our approach lie in that: (1) Directly optimizing DCEM as the loss function is more fundamental for the task; (2) Our framework does not rely on explicit diversity information such as subtopics, thus is more adaptive to real application; (3) The representation of diversity as the feature-based scoring function is more flexible to incorporate rich diversity-based features into the learning framework. Extensive experiments on the public TREC datasets show that our approach significantly outperforms state-of-the-art diversification approaches, which validate the above advantages."]], "corpus": "arxiv"} | |
| {"tstamp": 1722325255.6968, "task_type": "retrieval", "type": "chat", "model": "intfloat/multilingual-e5-large-instruct", "gen_params": {}, "start": 1722325255.5049, "finish": 1722325255.6968, "ip": "", "conv_id": "8fd0f41e8c554c77a868abae1d83248a", "model_name": "intfloat/multilingual-e5-large-instruct", "prompt": "Which programming paradigm supposedly eliminates side-effects?", "output": [["Which programming paradigm supposedly eliminates side-effects?", "Stackoverflow Stackexchange\n\nQ: I want to call it side-effect programming, but there's gotta be a better term for this What is the name of the following programming paradigm:\nCode is executed based on a set of logical tests resolving to true (the clause). The clause is comprised of operators and operands. Each operand is a value/object.\nInstead of evaluating the clause explicitly, as is done in imperative languages (e.g., normal flow control like if(){}), the clause is declared and bound to the resulting code. When the clause is satisfied, at any point in the future, the code will execute. \nSo, it's basically a dependency tree that re-evaluates whether the code should execute whenever a dependency changes state.\nE.g.,\nwhen(a && b && c < 3 && d.changes())\n{\n runThisCode();\n}\n\nI'm looking for a more formal name and definition, and I haven't come up with anything after searching for it. It's somewhere between declarative and imperative, but I've never seen a language or paradigm that lets one do this.\nThanks,\nSean\n\nA: Maybe it is dataflow programming? Or reactive programming?\n"]], "corpus": "stackexchange"} | |
| {"tstamp": 1722325255.6968, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722325255.5049, "finish": 1722325255.6968, "ip": "", "conv_id": "7a4eb2fc2e1c49adb1cf34025bab88e4", "model_name": "BAAI/bge-large-en-v1.5", "prompt": "Which programming paradigm supposedly eliminates side-effects?", "output": [["Which programming paradigm supposedly eliminates side-effects?", "Stackoverflow Stackexchange\n\nQ: I want to call it side-effect programming, but there's gotta be a better term for this What is the name of the following programming paradigm:\nCode is executed based on a set of logical tests resolving to true (the clause). The clause is comprised of operators and operands. Each operand is a value/object.\nInstead of evaluating the clause explicitly, as is done in imperative languages (e.g., normal flow control like if(){}), the clause is declared and bound to the resulting code. When the clause is satisfied, at any point in the future, the code will execute. \nSo, it's basically a dependency tree that re-evaluates whether the code should execute whenever a dependency changes state.\nE.g.,\nwhen(a && b && c < 3 && d.changes())\n{\n runThisCode();\n}\n\nI'm looking for a more formal name and definition, and I haven't come up with anything after searching for it. It's somewhere between declarative and imperative, but I've never seen a language or paradigm that lets one do this.\nThanks,\nSean\n\nA: Maybe it is dataflow programming? Or reactive programming?\n"]], "corpus": "stackexchange"} | |
| {"tstamp": 1722326117.1111, "task_type": "retrieval", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1722326114.3629, "finish": 1722326117.1111, "ip": "", "conv_id": "fc4c84e604734519ab3644eee251be4a", "model_name": "text-embedding-004", "prompt": "Which test was devised to determine whether robots can think?", "output": [["Which test was devised to determine whether robots can think?", "Turing test\n\nThe Turing test, originally called the imitation game by Alan Turing in 1950, is a test of a machine's ability to exhibit intelligent behaviour equivalent to, or indistinguishable from, that of a human. Turing proposed that a human evaluator would judge natural language conversations between a human and a machine designed to generate human-like responses. The evaluator would be aware that one of the two partners in conversation was a machine, and all participants would be separated from one another. The conversation would be limited to a text-only channel, such as a computer keyboard and screen, so the result would not depend on the machine's ability to render words as speech. If the evaluator could not reliably tell the machine from the human, the machine would be said to have passed the test. The test results would not depend on the machine's ability to give correct answers to questions, only on how closely its answers resembled those a human would give. Since the Turing test is a test of indistinguishability in performance capacity, the verbal version generalizes naturally to all of human performance capacity, verbal as well as nonverbal (robotic)."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722326117.1111, "task_type": "retrieval", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1722326114.3629, "finish": 1722326117.1111, "ip": "", "conv_id": "20d1e09e55c3417987a2411ee289b0af", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": "Which test was devised to determine whether robots can think?", "output": [["Which test was devised to determine whether robots can think?", "Cognitive test\n\nCognitive tests are assessments of the cognitive capabilities of humans and other animals. Tests administered to humans include various forms of IQ tests; those administered to animals include the mirror test (a test of visual self-awareness) and the T maze test (which tests learning ability). Such testing is used in psychology and psychometrics, as well as other fields studying human and animal intelligence."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722326183.0687, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722326180.7859, "finish": 1722326183.0687, "ip": "", "conv_id": "969b9538fa5a47bd815772624e56a2d8", "model_name": "BAAI/bge-large-en-v1.5", "prompt": "Who wrote about a guide more popular than the Encyclopedia Galactica?", "output": [["Who wrote about a guide more popular than the Encyclopedia Galactica?", "The Hitchhiker's Guide to the Galaxy (fictional)\n\nThe Hitchhiker's Guide to the Galaxy is a fictional electronic guide book in the multimedia scifi/comedy series of the same name by Douglas Adams. The Guide serves as \"the standard repository for all knowledge and wisdom\" for many members of the series' galaxy-spanning civilization. Entries from the guidebook are used as comic narration to bridge events and provide background information in every version of the story. The guide is published by \"Megadodo Publications\", a publishing company on Ursa Minor Beta, and it is written and edited by many characters throughout the series."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722326183.0687, "task_type": "retrieval", "type": "chat", "model": "Alibaba-NLP/gte-Qwen2-7B-instruct", "gen_params": {}, "start": 1722326180.7859, "finish": 1722326183.0687, "ip": "", "conv_id": "a272df02c97d49d2a15767b334ac5ccb", "model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "prompt": "Who wrote about a guide more popular than the Encyclopedia Galactica?", "output": [["Who wrote about a guide more popular than the Encyclopedia Galactica?", "Fictional book\n\nBill Watterson placed fictional children's books in his comic strip Calvin and Hobbes, saying that he could never reveal their contents for they were surely more outrageous in the reader's imagination. For several years, Calvin (perpetually six years old) demands that his father read him Hamster Huey and the Gooey Kablooie as a bedtime story. Occasionally, his father's patience snaps and he introduces new variations, which at least reveal what the original story is not: \"Do you think the townsfolk will ever find Hamster Huey's head?\" An \"actual\" Hamster Huey book was written by Mabel Barr in 2004, years after the strip's conclusion.\n\"Travels With My Cats,\" a Hugo-nominated short story by Mike Resnick first appearing in Asimov's Science Fiction magazine, features a fictional travelogue of the same name.\nPaul Levinson's novel The Plot To Save Socrates features a fictional ancient Platonic Dialogue, without title, that begins \"PERSONS OF THE DIALOGUE: Socrates; Andros, a visitor. SCENE: The Prison of Socrates\".\nThe Encyclopedia Galactica in Isaac Asimov's Foundation series was created in Terminus at the beginning of the Foundation Era. It serves primarily as an introduction to a character, a place or a circumstance to be developed in each chapter. Each quotation contains a copyright disclaimer and cites Terminus as the place of publication. The Encyclopedia also makes an appearance in The Hitchhiker's Guide to the Galaxy by Douglas Adams."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722326385.221, "task_type": "retrieval", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722326384.9839, "finish": 1722326385.221, "ip": "", "conv_id": "a642737e88ae42abb145e906bacf917a", "model_name": "GritLM/GritLM-7B", "prompt": "Who wrote about a guide more popular than the Encyclopedia Galactica?", "output": [["Who wrote about a guide more popular than the Encyclopedia Galactica?", "Encyclopedia Galactica\n\nLater instances in fiction Various authors have invoked the Encyclopedia Galactica in both science and science fiction. The first may have been author Frank Holby's short story \"The Strange Case of the Missing Hero\" in the July 1942 issue of Astounding Science Fiction which featured Sebastian Lelong, editor of the Encyclopedia. It was also a common fixture in previous incarnations of the Legion of Super-Heroes comic books, and has appeared in the Star Wars expanded universe and Superman comics set in the future. The \"Encyclopedia Galactica\" was also mentioned as being a collection of all the knowledge of a galactic Empire in the 1989 science fiction short story \"The Originist\" by American novelist Orson Scott Card, and took place in Isaac Asimov's fictional \"Foundation\" Universe.\nIn the comic science fiction series by Douglas Adams, the Galactica is frequently contrasted with the apparently more popular Hitchhiker's Guide to the Galaxy:\nRobert A. Heinlein mentioned the Encyclopedia in chapter three of To Sail Beyond the Sunset (1987): \"... the computer that led the Lunar Revolution on time line three, code 'Neil Armstrong.' Let's skip the details; it's all in Encyclopedia Galacta (sic) and other books.\"\nIn Arthur C. Clarke's and Gentry Lee's novel Rama II (1989), Nicole des Jardins says to Richard Wakefield, \"Just think, the sum of everything all human beings know or have ever known might be nothing more than an infinitesimal fraction of the Encyclopedia Galactica.\"\n\"Encyclopedia Galactica\" is mentioned by Charlie Sheen's character in The Arrival (1996), and by Jodie Foster's character in Contact (1997)."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722326385.221, "task_type": "retrieval", "type": "chat", "model": "Alibaba-NLP/gte-Qwen2-7B-instruct", "gen_params": {}, "start": 1722326384.9839, "finish": 1722326385.221, "ip": "", "conv_id": "a226f0bf08ff4c57a57e3e0d18a48fce", "model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "prompt": "Who wrote about a guide more popular than the Encyclopedia Galactica?", "output": [["Who wrote about a guide more popular than the Encyclopedia Galactica?", "Fictional book\n\nBill Watterson placed fictional children's books in his comic strip Calvin and Hobbes, saying that he could never reveal their contents for they were surely more outrageous in the reader's imagination. For several years, Calvin (perpetually six years old) demands that his father read him Hamster Huey and the Gooey Kablooie as a bedtime story. Occasionally, his father's patience snaps and he introduces new variations, which at least reveal what the original story is not: \"Do you think the townsfolk will ever find Hamster Huey's head?\" An \"actual\" Hamster Huey book was written by Mabel Barr in 2004, years after the strip's conclusion.\n\"Travels With My Cats,\" a Hugo-nominated short story by Mike Resnick first appearing in Asimov's Science Fiction magazine, features a fictional travelogue of the same name.\nPaul Levinson's novel The Plot To Save Socrates features a fictional ancient Platonic Dialogue, without title, that begins \"PERSONS OF THE DIALOGUE: Socrates; Andros, a visitor. SCENE: The Prison of Socrates\".\nThe Encyclopedia Galactica in Isaac Asimov's Foundation series was created in Terminus at the beginning of the Foundation Era. It serves primarily as an introduction to a character, a place or a circumstance to be developed in each chapter. Each quotation contains a copyright disclaimer and cites Terminus as the place of publication. The Encyclopedia also makes an appearance in The Hitchhiker's Guide to the Galaxy by Douglas Adams."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722330520.4971, "task_type": "retrieval", "type": "chat", "model": "sentence-transformers/all-MiniLM-L6-v2", "gen_params": {}, "start": 1722330520.2875, "finish": 1722330520.4971, "ip": "", "conv_id": "e8de686f05604683a883fc11feab8e61", "model_name": "sentence-transformers/all-MiniLM-L6-v2", "prompt": "can you travel with expired passport in canada?", "output": [["can you travel with expired passport in canada?", "Askubuntu Stackexchange\n\nQ: How much RAM memory should I allocate for Ubuntu when running a virtual machine? How much memory should I allocate to the host OS (in my case, Ubuntu 12.04) if I run Windows 7 Ultimate on a virtual machine (I want it for some gaming)?\nI have 4 GB of RAM. If I allocate 3512 MB RAM for Windows 7, or if I allocate even more for it, will everything still be ok?\n\nA: Ubuntu 12.04 minimum memory requirements suggest at least 512 megabytes for a desktop install.\nVisit https://www.virtualbox.org/manual/ch01.html#gui-createvm, they give similar recommendations.\nSo I would not go below 512MB for sure. But prefer keeping 1024MB if you see your host swap being actively used though.\n"]], "corpus": "stackexchange"} | |
| {"tstamp": 1722330520.4971, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722330520.2875, "finish": 1722330520.4971, "ip": "", "conv_id": "e16f74277f4c4c5b9a443fe994988ac4", "model_name": "BAAI/bge-large-en-v1.5", "prompt": "can you travel with expired passport in canada?", "output": [["can you travel with expired passport in canada?", "Gaming Stackexchange\n\nQ: Can I get a document back after I have returned it? After approving a migrant worker's passport and returning it to them, I realized that it was expired. I still have their work ticket, which appears valid. Is there any way to deny them entry to the country at this point?\n\nA: Nope.\nWell, you just made a big mistake: You approved before checking everything. The game is very harsh in this regard and does not allow you to roll back your decision, once you have given back the document.\nThis is part of the message - Think before you act, even if it takes valuable time ... Or just push your luck.\nAlso: You don't get fined immediately for a simple error - you get two chances every day to make mistakes (intentional or otherwise), and then the fines start kicking in.\n"]], "corpus": "stackexchange"} | |
| {"tstamp": 1722330571.4973, "task_type": "retrieval", "type": "chat", "model": "intfloat/e5-mistral-7b-instruct", "gen_params": {}, "start": 1722330571.2712, "finish": 1722330571.4973, "ip": "", "conv_id": "343e583202b94432845a84d92016e273", "model_name": "intfloat/e5-mistral-7b-instruct", "prompt": "late interaction retrieval engine", "output": [["late interaction retrieval engine", "Title: Improving Out-of-Distribution Generalization of Neural Rerankers with Contextualized Late Interaction\n\nAbstract: Recent progress in information retrieval finds that embedding query and document representation into multi-vector yields a robust bi-encoder retriever on out-of-distribution datasets. In this paper, we explore whether late interaction, the simplest form of multi-vector, is also helpful to neural rerankers that only use the [CLS] vector to compute the similarity score. Although intuitively, the attention mechanism of rerankers at the previous layers already gathers the token-level information, we find adding late interaction still brings an extra 5% improvement in average on out-of-distribution datasets, with little increase in latency and no degradation in in-domain effectiveness. Through extensive experiments and analysis, we show that the finding is consistent across different model sizes and first-stage retrievers of diverse natures and that the improvement is more prominent on longer queries."]], "corpus": "arxiv"} | |
| {"tstamp": 1722330571.4973, "task_type": "retrieval", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722330571.2712, "finish": 1722330571.4973, "ip": "", "conv_id": "5305603bc27e4f5e9c54451f4c2e4662", "model_name": "GritLM/GritLM-7B", "prompt": "late interaction retrieval engine", "output": [["late interaction retrieval engine", "Title: PLAID: An Efficient Engine for Late Interaction Retrieval\n\nAbstract: Pre-trained language models are increasingly important components across multiple information retrieval (IR) paradigms. Late interaction, introduced with the ColBERT model and recently refined in ColBERTv2, is a popular paradigm that holds state-of-the-art status across many benchmarks. To dramatically speed up the search latency of late interaction, we introduce the Performance-optimized Late Interaction Driver (PLAID). Without impacting quality, PLAID swiftly eliminates low-scoring passages using a novel centroid interaction mechanism that treats every passage as a lightweight bag of centroids. PLAID uses centroid interaction as well as centroid pruning, a mechanism for sparsifying the bag of centroids, within a highly-optimized engine to reduce late interaction search latency by up to 7$\\times$ on a GPU and 45$\\times$ on a CPU against vanilla ColBERTv2, while continuing to deliver state-of-the-art retrieval quality. This allows the PLAID engine with ColBERTv2 to achieve latency of tens of milliseconds on a GPU and tens or just few hundreds of milliseconds on a CPU at large scale, even at the largest scales we evaluate with 140M passages."]], "corpus": "arxiv"} | |
| {"tstamp": 1722330633.1919, "task_type": "retrieval", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722330632.9349, "finish": 1722330633.1919, "ip": "", "conv_id": "f57e49c925ec4e97b7cf34fa8fae1544", "model_name": "GritLM/GritLM-7B", "prompt": "retrieval system that uses an inverted index with lexically matched dense token embeddings", "output": [["retrieval system that uses an inverted index with lexically matched dense token embeddings", "Title: COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List\n\nAbstract: Classical information retrieval systems such as BM25 rely on exact lexical match and carry out search efficiently with inverted list index. Recent neural IR models shifts towards soft semantic matching all query document terms, but they lose the computation efficiency of exact match systems. This paper presents COIL, a contextualized exact match retrieval architecture that brings semantic lexical matching. COIL scoring is based on overlapping query document tokens' contextualized representations. The new architecture stores contextualized token representations in inverted lists, bringing together the efficiency of exact match and the representation power of deep language models. Our experimental results show COIL outperforms classical lexical retrievers and state-of-the-art deep LM retrievers with similar or smaller latency."]], "corpus": "arxiv"} | |
| {"tstamp": 1722330633.1919, "task_type": "retrieval", "type": "chat", "model": "embed-english-v3.0", "gen_params": {}, "start": 1722330632.9349, "finish": 1722330633.1919, "ip": "", "conv_id": "533774b5f05b4ce9a1513bb1b034d6cc", "model_name": "embed-english-v3.0", "prompt": "retrieval system that uses an inverted index with lexically matched dense token embeddings", "output": [["retrieval system that uses an inverted index with lexically matched dense token embeddings", "Title: Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations\n\nAbstract: Learned sparse representations form an attractive class of contextual embeddings for text retrieval. That is so because they are effective models of relevance and are interpretable by design. Despite their apparent compatibility with inverted indexes, however, retrieval over sparse embeddings remains challenging. That is due to the distributional differences between learned embeddings and term frequency-based lexical models of relevance such as BM25. Recognizing this challenge, a great deal of research has gone into, among other things, designing retrieval algorithms tailored to the properties of learned sparse representations, including approximate retrieval systems. In fact, this task featured prominently in the latest BigANN Challenge at NeurIPS 2023, where approximate algorithms were evaluated on a large benchmark dataset by throughput and recall. In this work, we propose a novel organization of the inverted index that enables fast yet effective approximate retrieval over learned sparse embeddings. Our approach organizes inverted lists into geometrically-cohesive blocks, each equipped with a summary vector. During query processing, we quickly determine if a block must be evaluated using the summaries. As we show experimentally, single-threaded query processing using our method, Seismic, reaches sub-millisecond per-query latency on various sparse embeddings of the MS MARCO dataset while maintaining high recall. Our results indicate that Seismic is one to two orders of magnitude faster than state-of-the-art inverted index-based solutions and further outperforms the winning (graph-based) submissions to the BigANN Challenge by a significant margin."]], "corpus": "arxiv"} | |
| {"tstamp": 1722330681.8431, "task_type": "retrieval", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1722330681.5247, "finish": 1722330681.8431, "ip": "", "conv_id": "46b6675f1fc1409db4ccac33e39d2053", "model_name": "Salesforce/SFR-Embedding-2_R", "prompt": "What are gyros sandwiches commonly called in Berlin", "output": [["What are gyros sandwiches commonly called in Berlin", "Gyros\n\nGyros, sometimes anglicized as a gyro (; , ) in some regions, is meat cooked on a vertical rotisserie, then sliced and served wrapped or stuffed in pita bread, along with other ingredients such as tomato, onion, fried potatoes, and tzatziki. In Greece, it is normally made with pork or sometimes with chicken, whilst beef and lamb are also used in other countries.\nName\nThe name comes from the Greek (, 'circle' or 'turn'). It is a calque of the Turkish , from , also meaning \"turn\".\nIn Athens and other parts of southern Greece, the skewered meat dish elsewhere called souvlaki is known as kalamaki, while souvlaki is a term used generally for gyros, and similar dishes.\nIn Greek, \"gyros\" is a nominative singular noun, but the final 's' is often interpreted in English usage as plural, leading to the singular back-formation \"gyro\". The Greek pronunciation is , though some English speakers pronounce it .\nSimilar dishes\nGyros is made in a similar manner to other dishes such as the Arab shawarma, Canadian donair, Mexican al pastor, and the Turkish döner kebab."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722330681.8431, "task_type": "retrieval", "type": "chat", "model": "nomic-ai/nomic-embed-text-v1.5", "gen_params": {}, "start": 1722330681.5247, "finish": 1722330681.8431, "ip": "", "conv_id": "c551a862edc9498984544ee6c52b863e", "model_name": "nomic-ai/nomic-embed-text-v1.5", "prompt": "What are gyros sandwiches commonly called in Berlin", "output": [["What are gyros sandwiches commonly called in Berlin", "Berlin\n\nBerlin is the capital and largest city of Germany, both by area and by population. Its more than 3.85 million inhabitants make it the European Union's most populous city, as measured by population within city limits having gained this status after the United Kingdom's, and thus London's, departure from the European Union. Simultaneously, the city is one of the states of Germany, and is the third smallest state in the country in terms of area. Berlin is surrounded by the state of Brandenburg, and Brandenburg's capital Potsdam is nearby. The urban area of Berlin has a population of over 4.5 million and is therefore the most populous urban area in Germany. The Berlin-Brandenburg capital region has around 6.2 million inhabitants and is Germany's second-largest metropolitan region after the Rhine-Ruhr region, and the sixth-biggest metropolitan region by GDP in the European Union.\nBerlin was built along the banks of the Spree river, which flows into the Havel in the western borough of Spandau. The city incorporates lakes in the western and southeastern boroughs, the largest of which is Müggelsee. About one-third of the city's area is composed of forests, parks and gardens, rivers, canals, and lakes."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722330729.6076, "task_type": "retrieval", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1722330729.4064, "finish": 1722330729.6076, "ip": "", "conv_id": "004df53316f44ed484e7cb2752ed51d7", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": "Who was the most recent ACM turing award winner?", "output": [["Who was the most recent ACM turing award winner?", "Turing Award\n\nThe ACM A. M. Turing Award is an annual prize given by the Association for Computing Machinery (ACM) for contributions of lasting and major technical importance to computer science. It is generally recognized as the highest distinction in the field of computer science and is often referred to as the \"Nobel Prize of Computing\".\nThe award is named after Alan Turing, who was a British mathematician and reader in mathematics at the University of Manchester. Turing is often credited as being the founder of theoretical computer science and artificial intelligence, and a key contributor to the Allied cryptanalysis of the Enigma cipher during World War II.\nFrom 2007 to 2013, the award was accompanied by a prize of , with financial support provided by Intel and Google. Since 2014, the award has been accompanied by a prize of million, with financial support provided by Google.\nThe first recipient, in 1966, was Alan Perlis, of Carnegie Mellon University. The youngest recipient was Donald Knuth who won in 1974, at the age of 36, while the oldest recipient was Alfred Aho who won in 2020, at the age of 79. Only three women have been awarded the prize: Frances Allen (in 2006), Barbara Liskov (in 2008), and Shafi Goldwasser (in 2012). As of 2024, 77 people have been awarded the prize, with the most recent recipient, in 2023, being Avi Wigderson."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722330729.6076, "task_type": "retrieval", "type": "chat", "model": "nomic-ai/nomic-embed-text-v1.5", "gen_params": {}, "start": 1722330729.4064, "finish": 1722330729.6076, "ip": "", "conv_id": "65495c27f0584d28bdff79babacc3d0f", "model_name": "nomic-ai/nomic-embed-text-v1.5", "prompt": "Who was the most recent ACM turing award winner?", "output": [["Who was the most recent ACM turing award winner?", "Turing Award\n\nThe ACM A. M. Turing Award is an annual prize given by the Association for Computing Machinery (ACM) for contributions of lasting and major technical importance to computer science. It is generally recognized as the highest distinction in the field of computer science and is often referred to as the \"Nobel Prize of Computing\".\nThe award is named after Alan Turing, who was a British mathematician and reader in mathematics at the University of Manchester. Turing is often credited as being the founder of theoretical computer science and artificial intelligence, and a key contributor to the Allied cryptanalysis of the Enigma cipher during World War II.\nFrom 2007 to 2013, the award was accompanied by a prize of , with financial support provided by Intel and Google. Since 2014, the award has been accompanied by a prize of million, with financial support provided by Google.\nThe first recipient, in 1966, was Alan Perlis, of Carnegie Mellon University. The youngest recipient was Donald Knuth who won in 1974, at the age of 36, while the oldest recipient was Alfred Aho who won in 2020, at the age of 79. Only three women have been awarded the prize: Frances Allen (in 2006), Barbara Liskov (in 2008), and Shafi Goldwasser (in 2012). As of 2024, 77 people have been awarded the prize, with the most recent recipient, in 2023, being Avi Wigderson."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722330771.8676, "task_type": "retrieval", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1722330771.208, "finish": 1722330771.8676, "ip": "", "conv_id": "59cc1b2ba6eb4aff96b5e26e541527eb", "model_name": "text-embedding-004", "prompt": "Which presidents were not religious?", "output": [["Which presidents were not religious?", "Religious affiliations of presidents of the United States\n\nReligious affiliations can affect the electability of the presidents of the United States and shape their stances on policy matters and their visions of society and also how they want to lead it. While no president has ever openly identified as an atheist, Thomas Jefferson, Abraham Lincoln, and William Howard Taft were speculated to be atheists by their opponents during political campaigns; in addition, a survey during the presidency of Donald Trump showed that 63% of Americans did not believe he was religious, despite his professed Christian affiliation. Trump supporters have also circulated conspiracy theories that Barack Obama is a Muslim. Conversely, other presidents, such as Jimmy Carter, have used their faith as a defining aspect of their campaigns and tenure in office.\nAlmost all of the presidents can be characterized as Christians, at least by upbringing, though some were unaffiliated with any specific religious body. Mainline Protestants predominate, with Episcopalians and Presbyterians being the most prevalent. John F. Kennedy was the first Catholic president and Joe Biden, the incumbent president, is the second."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722330771.8676, "task_type": "retrieval", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1722330771.208, "finish": 1722330771.8676, "ip": "", "conv_id": "1d325ed419a64c0a8ac7ccc189092629", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "prompt": "Which presidents were not religious?", "output": [["Which presidents were not religious?", "Religious affiliations of presidents of the United States\n\nReligious affiliations can affect the electability of the presidents of the United States and shape their stances on policy matters and their visions of society and also how they want to lead it. While no president has ever openly identified as an atheist, Thomas Jefferson, Abraham Lincoln, and William Howard Taft were speculated to be atheists by their opponents during political campaigns; in addition, a survey during the presidency of Donald Trump showed that 63% of Americans did not believe he was religious, despite his professed Christian affiliation. Trump supporters have also circulated conspiracy theories that Barack Obama is a Muslim. Conversely, other presidents, such as Jimmy Carter, have used their faith as a defining aspect of their campaigns and tenure in office.\nAlmost all of the presidents can be characterized as Christians, at least by upbringing, though some were unaffiliated with any specific religious body. Mainline Protestants predominate, with Episcopalians and Presbyterians being the most prevalent. John F. Kennedy was the first Catholic president and Joe Biden, the incumbent president, is the second."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722330809.8192, "task_type": "retrieval", "type": "chat", "model": "embed-english-v3.0", "gen_params": {}, "start": 1722330807.581, "finish": 1722330809.8192, "ip": "", "conv_id": "5e344846ff64426d805b30702aef5bb5", "model_name": "embed-english-v3.0", "prompt": "Who is the youngest spaniard to win a grand slam?", "output": [["Who is the youngest spaniard to win a grand slam?", "Tennis in Spain\n\nRafael Nadal is regarded as the greatest Spanish player of all time. He has won 22 Grand Slam men's singles titles, the second-most in tennis history. He has won the French Open a record 14 times, between 2005 and 2022. After defeating then-world No. 1 Roger Federer in 2008, Nadal claimed the Wimbledon title in a historic final, having won the tournament twice thus far. In 2009, he became the first Spaniard to win the Australian Open, a feat he repeated at the 2022 Australian Open. After defeating Novak Djokovic in the 2010 US Open final, he became the first man in history to win majors on clay, grass, and hard courts in a calendar year (Surface Slam), and the first Spaniard to complete a Career Grand Slam, which he has achieved twice in singles (one of four men in history to do so). In addition, Nadal is one of two men to achieve the Career Golden Slam in singles and a two-time Olympic gold medalist, winning the singles event at the 2008 Beijing Olympics and the doubles event at the 2016 Rio Olympics.\nSpain has produced several other world No. 1 players; Arantxa Sánchez Vicario (a 3-time French Open champion in 1989, 1994 and 1998, and 1994 US Open champion), Carlos Moyá (1998 French Open champion), Juan Carlos Ferrero (2003 French Open champion), Garbiñe Muguruza (2016 French Open and 2017 Wimbledon champion) and Carlos Alcaraz (2022 US Open and 2023 Wimbledon champion).\nOther Grand Slam champions are Manuel Santana (1961 and 1964 French Open, 1966 Wimbledon and 1965 US Open champion), Sergi Bruguera (1993 and 1994 French Open champion), Andrés Gimeno (1972 French Open champion), Manuel Orantes (1975 US Open champion), Conchita Martínez (1994 Wimbledon champion), and Albert Costa (2002 French Open champion).\nTournaments held in Spain on the men's tour every year include the Madrid Masters, Barcelona, and Mallorca. Madrid Masters is also contested by women in the WTA Tour.\nList of Spanish tennis players (Open Era only)\nOnly includes players ranked in the top 50. Bold names indicate currently active players.\nMen\nWomen\nGrand Slam performances of Spanish tennis players\nOnly includes players who have reached at least a Grand Slam quarterfinal"]], "corpus": "wikipedia"} | |
| {"tstamp": 1722330809.8192, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722330807.581, "finish": 1722330809.8192, "ip": "", "conv_id": "8792c6fdadff4227bf787fecd15756c8", "model_name": "BAAI/bge-large-en-v1.5", "prompt": "Who is the youngest spaniard to win a grand slam?", "output": [["Who is the youngest spaniard to win a grand slam?", "Rebeka Masarova\n\nRebeka Masarova (, ; born 6 August 1999) is a Swiss-born Spanish professional tennis player. She has career-high WTA rankings of 62 in singles and 125 in doubles.\nThe 2016 French Open junior champion started representing Spain in January 2018.\nPersonal life\nMasarova's mother is Spanish and her father is Slovak. Born in Basel, hometown of Roger Federer, she was inspired to start playing tennis from watching Federer play in his first Wimbledon final in 2003.\nJunior career\nGrand Slam performance\nSingles:\nAustralian Open: F (2017)\nFrench Open: W (2016)\nWimbledon: 3R (2016)"]], "corpus": "wikipedia"} | |
| {"tstamp": 1722330884.828, "task_type": "retrieval", "type": "chat", "model": "nomic-ai/nomic-embed-text-v1.5", "gen_params": {}, "start": 1722330884.6901, "finish": 1722330884.828, "ip": "", "conv_id": "9a6969ae4a494bb09669934f54d684bb", "model_name": "nomic-ai/nomic-embed-text-v1.5", "prompt": "What is it called when you put fiberglass mesh over a hole in drywall?", "output": [["What is it called when you put fiberglass mesh over a hole in drywall?", "Drywall\n\nDrywall's paper facings are edible to termites, which can eat the paper if they infest a wall cavity covered with drywall. This causes the painted surface to crumble to the touch, its paper backing material being eaten. In addition to the necessity of patching the damaged surface and repainting, if enough of the paper has been eaten, the gypsum core can easily crack or crumble without it, and the drywall must be removed and replaced.\nIn many circumstances, especially when the drywall has been exposed to water or moisture for less than 48 hours, professional restoration experts can avoid the cost, inconvenience, and difficulty of removing and replacing the affected drywall. They use rapid drying techniques that eliminate the elements required to support microbial activity while restoring most or all of the drywall.\nIt is for these reasons that greenboard, a type of drywall with an outer face that is wax- and/or chemically coated to resist mold growth, and ideally cement board are used for rooms expected to have high humidity, primarily kitchens, bathrooms, and laundry rooms.\nOther damage\nFoam insulation and the gypsum part of sheetrock are easily chewed out by honeybees when they are setting up a stray nest in a building, and they want to enlarge their nest area.\nHigh-sulfur drywall illness and corrosion issues"]], "corpus": "wikipedia"} | |
| {"tstamp": 1722330884.828, "task_type": "retrieval", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1722330884.6901, "finish": 1722330884.828, "ip": "", "conv_id": "ac0eea2fe2734066bb273c7af929fc57", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "prompt": "What is it called when you put fiberglass mesh over a hole in drywall?", "output": [["What is it called when you put fiberglass mesh over a hole in drywall?", "Fiberglass\n\nFiberglass is also used in the telecommunications industry for shrouding antennas, due to its RF permeability and low signal attenuation properties. It may also be used to conceal other equipment where no signal permeability is required, such as equipment cabinets and steel support structures, due to the ease with which it can be molded and painted to blend with existing structures and surfaces. Other uses include sheet-form electrical insulators and structural components commonly found in power-industry products. Because of fiberglass's lightweight and durability, it is often used in protective equipment such as helmets. Many sports use fiberglass protective gear, such as goaltenders' and catchers' masks.\nStorage tanks\nStorage tanks can be made of fiberglass with capacities up to about 300 tonnes. Smaller tanks can be made with chopped strand mat cast over a thermoplastic inner tank which acts as a preform during construction. Much more reliable tanks are made using woven mat or filament wound fiber, with the fiber orientation at right angles to the hoop stress imposed in the sidewall by the contents. Such tanks tend to be used for chemical storage because the plastic liner (often polypropylene) is resistant to a wide range of corrosive chemicals. Fiberglass is also used for septic tanks.\nHouse building\nGlass-reinforced plastics are also used to produce house building components such as roofing laminate, door surrounds, over-door canopies, window canopies and dormers, chimneys, coping systems, and heads with keystones and sills. The material's reduced weight and easier handling, compared to wood or metal, allows faster installation. Mass-produced fiberglass brick-effect panels can be used in the construction of composite housing, and can include insulation to reduce heat loss.\nOil and gas artificial lift systems"]], "corpus": "wikipedia"} | |
| {"tstamp": 1722330962.5465, "task_type": "retrieval", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1722330961.8844, "finish": 1722330962.5465, "ip": "", "conv_id": "35d44656ae304532aa9f1a3885b87cee", "model_name": "text-embedding-004", "prompt": "What video game genre is based on platforming, new item/skill unlocks allowing new mobility and backtracking", "output": [["What video game genre is based on platforming, new item/skill unlocks allowing new mobility and backtracking", "Platformer\n\nA platformer (also called a platform game, and sometimes a jump 'n' run game) is a sub-genre of action video games in which the core objective is to move the player character between points in an environment. Platform games are characterized by levels with uneven terrain and suspended platforms of varying height that require jumping and climbing to traverse. Other acrobatic maneuvers may factor into the gameplay, such as swinging from vines or grappling hooks, jumping off walls, gliding through the air, or bouncing from springboards or trampolines."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722330962.5465, "task_type": "retrieval", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722330961.8844, "finish": 1722330962.5465, "ip": "", "conv_id": "f59e38ca09de43bfaab0c48326ab5253", "model_name": "GritLM/GritLM-7B", "prompt": "What video game genre is based on platforming, new item/skill unlocks allowing new mobility and backtracking", "output": [["What video game genre is based on platforming, new item/skill unlocks allowing new mobility and backtracking", "Metroidvania\n\nGameplay concepts The term 'Metroidvania' is most often used to refer to a platforming game that features a single large, interconnected map, generally with discrete rooms or sections. Not all areas of this map are available at the start, often requiring the player to obtain an item (such as a weapon or key) or a new character ability to remove some obstacle blocking the path forward. Often, this item is protected by a boss character, providing story-driven challenges throughout the game. Maps are non-linear, and often require the player to traverse the map multiple times during the course of the game. Weaker monsters will inhabit other parts of the level, re-spawning when the player revisits those rooms, and often can be defeated to gain health, ammunition, or experience points.\nLarger games generally feature save points as well as the ability to transport the player quickly between certain rooms on far sides of the map, eliminating tedious backtracking in the later parts of the game. Access to new abilities can also open up shortcuts that reduce travel time, as well as discover secrets that help to improve the character's abilities. For example, gaining access to double jump or wall jump abilities can give players more mobility, while obtaining the ability to transform into a smaller object can let the player slip through narrow corridors. As such, the genre focuses on exploration of a large world map, and advancement of the player-character abilities over time. Metroidvanias are sometimes referred to as \"platform adventure games\" due to this scope."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722331036.1893, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722331035.9157, "finish": 1722331036.1893, "ip": "", "conv_id": "ac688b0c0f4346aca93eadcfe091b40e", "model_name": "BAAI/bge-large-en-v1.5", "prompt": "magical pocketwatch insurance game", "output": [["magical pocketwatch insurance game", "Mickey Mouse\n\nThe game is part of an effort by The Walt Disney Company to re-brand the Mickey Mouse character by moving away from his current squeaky clean image and reintroducing the mischievous side of his personality.Mickey Mouse is a playable character in the mobile game Disney Heroes Battle Mode. Watches and clock\nMickey was famously featured on wristwatches and alarm clocks, typically utilizing his hands as the actual hands on the face of the clock. The first Mickey Mouse watches were manufactured in 1933 by the Ingersoll Watch Company. The seconds were indicated by a turning disk below Mickey. The first Mickey watch was sold at the Century of Progress in Chicago, 1933 for $3.75 (). Mickey Mouse watches have been sold by other companies and designers throughout the years, including Timex, Elgin, Helbros, Bradley, Lorus, and Gérald Genta. The fictional character Robert Langdon from Dan Brown's novels was said to wear a Mickey Mouse watch as a reminder \"to stay young at heart.\" Other products\nIn 1989, Milton Bradley released the electronic talking game titled Mickey Says, with three modes featuring Mickey Mouse as its host. "]], "corpus": "wikipedia"} | |
| {"tstamp": 1722331036.1893, "task_type": "retrieval", "type": "chat", "model": "intfloat/multilingual-e5-large-instruct", "gen_params": {}, "start": 1722331035.9157, "finish": 1722331036.1893, "ip": "", "conv_id": "dbfa56ccf06e4f01b82a817973b753c7", "model_name": "intfloat/multilingual-e5-large-instruct", "prompt": "magical pocketwatch insurance game", "output": [["magical pocketwatch insurance game", "One-pocket\n\nOne-pocket was the main game featured in the 2007 film, Turn the River, the story of a female pool hustler who plays high-stakes pool. The film ends with a nine-ball match, with the main character saying that nine-ball \"seems like a chumpy game for us.\"\nSet up and break\nThe balls in a one-pocket rack are placed randomly, similar to straight pool and bank pool. Before the , the player breaking (typically after winning the or coin flip) chooses a for the rest of the game; all of that shooter's balls must be shot into that pocket. All of the opponent's balls must be made in the other foot corner pocket.\nHandicapping\nOne-pocket is a very flexible game for players of different skill levels, and many variations are used to handicap a game. The stronger player, for instance, might need 10 points to win versus 6 points for the weaker player (called a \"10-6 \"). Also, as the break shot is so critical in the game, spotting someone the breaks can be a very strong equalizer.\nHandicapping one player by allowing points to be scored on and shots only is a particularly challenging spot, as the free-scoring opponent has a much greater variety of options for both balls to pocket and (defensive positioning of the cue ball after a shot) to play against the opponent."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722331056.0461, "task_type": "retrieval", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1722331055.415, "finish": 1722331056.0461, "ip": "", "conv_id": "bce184bbdc924f55864164310d37d825", "model_name": "text-embedding-004", "prompt": "magical pocketwatch insurance investigator puzzle video game", "output": [["magical pocketwatch insurance investigator puzzle video game", "Professor Layton vs. Phoenix Wright: Ace Attorney\n\nGameplay The game follows Professor Layton, Luke Triton, Phoenix Wright and Maya Fey as they attempt to solve the mystery of Labyrinthia. The game has two main styles of gameplay, Adventure and Witch Trial, which feature elements from the Professor Layton and Ace Attorney series respectively. The game features voice acting and animated cutscenes, a staple in the Professor Layton games but a first for the Ace Attorney series. This has since become a new standard for the latter series, starting with Dual Destinies, which was released in Japan after the crossover title.\nDuring Adventure segments, players can explore various environments, conversing with characters and examining background objects in order to find clues to solving the mystery of Labyrinthia. The control scheme is similar to the one introduced in Professor Layton and the Miracle Mask, in which players navigate the environments by moving around a cursor on the screen. Investigating certain areas or conversing with certain characters reveals various puzzles, which task players with finding its solution. Solving these puzzles earn Picarats, with more earned for making fewer mistakes, which go towards unlocking bonus content. Throughout these sections, players may also find Hint Coins which can be spent to unlock hints whilst solving puzzles."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722331056.0461, "task_type": "retrieval", "type": "chat", "model": "intfloat/e5-mistral-7b-instruct", "gen_params": {}, "start": 1722331055.415, "finish": 1722331056.0461, "ip": "", "conv_id": "553b3f41d1674676ba18f089d10ba445", "model_name": "intfloat/e5-mistral-7b-instruct", "prompt": "magical pocketwatch insurance investigator puzzle video game", "output": [["magical pocketwatch insurance investigator puzzle video game", "Ghost Trick: Phantom Detective\n\nGhost Trick: Phantom Detective is a 2010 puzzle adventure video game developed and published by Capcom. The story follows Sissel, an amnesiac ghost with supernatural powers, and his journey to rediscover his identity. Players solve environmental puzzles, interact with eccentric characters, and uncover the truth of Sissel's death over the course of one night. Gameplay is split into two sections: gathering information by navigating through the city, and saving lives by traveling back in time."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722332091.7808, "task_type": "retrieval", "type": "chat", "model": "intfloat/e5-mistral-7b-instruct", "gen_params": {}, "start": 1722332089.4775, "finish": 1722332091.7808, "ip": "", "conv_id": "d540415965de4abfa7a1824ad12cd607", "model_name": "intfloat/e5-mistral-7b-instruct", "prompt": "Which test was devised to determine whether robots can think?", "output": [["Which test was devised to determine whether robots can think?", "Turing test\n\nThe Turing test, originally called the imitation game by Alan Turing in 1950, is a test of a machine's ability to exhibit intelligent behaviour equivalent to, or indistinguishable from, that of a human. Turing proposed that a human evaluator would judge natural language conversations between a human and a machine designed to generate human-like responses. The evaluator would be aware that one of the two partners in conversation was a machine, and all participants would be separated from one another. The conversation would be limited to a text-only channel, such as a computer keyboard and screen, so the result would not depend on the machine's ability to render words as speech. If the evaluator could not reliably tell the machine from the human, the machine would be said to have passed the test. The test results would not depend on the machine's ability to give correct answers to questions, only on how closely its answers resembled those a human would give. Since the Turing test is a test of indistinguishability in performance capacity, the verbal version generalizes naturally to all of human performance capacity, verbal as well as nonverbal (robotic)."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722332091.7808, "task_type": "retrieval", "type": "chat", "model": "nomic-ai/nomic-embed-text-v1.5", "gen_params": {}, "start": 1722332089.4775, "finish": 1722332091.7808, "ip": "", "conv_id": "f0c79274760a4d53b5aa5316ef085185", "model_name": "nomic-ai/nomic-embed-text-v1.5", "prompt": "Which test was devised to determine whether robots can think?", "output": [["Which test was devised to determine whether robots can think?", "Thought experiment\n\nRetrodiction The activity of retrodiction (or postdiction) involves moving backward in time, step-by-step, in as many stages as are considered necessary, from the present into the speculated past to establish the ultimate cause of a specific event (e.g., reverse engineering and forensics).\nGiven that retrodiction is a process in which \"past observations, events, add and data are used as evidence to infer the process(es) that produced them\" and that diagnosis \"involve[s] going from visible effects such as symptoms, signs and the like to their prior causes\", the essential balance between prediction and retrodiction could be characterized as:\nregardless of whether the prognosis is of the course of the disease in the absence of treatment, or of the application of a specific treatment regimen to a specific disorder in a particular patient.\nBackcasting\nThe activity of backcasting – the term backcasting was coined by John Robinson in 1982 – involves establishing the description of a very definite and very specific future situation. It then involves an imaginary moving backward in time, step-by-step, in as many stages as are considered necessary, from the future to the present to reveal the mechanism through which that particular specified future could be attained from the present.\nBackcasting is not concerned with predicting the future:\nAccording to Jansen (1994, p. 503:"]], "corpus": "wikipedia"} | |
| {"tstamp": 1722332129.2758, "task_type": "retrieval", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1722332129.0629, "finish": 1722332129.2758, "ip": "", "conv_id": "b76d7f83119c4eff9849041c5f557883", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": "is dark chocolate bittersweet or semisweet?", "output": [["is dark chocolate bittersweet or semisweet?", "Stackoverflow Stackexchange\n\nQ: what does \"free\" in context-free languages conceptually mean? \nPossible Duplicate:\nWhat is a Context Free Grammar? \n\nI can not understand the conceptual meaning of \"free\" in context free grammar or language? what is free?\n\nA: Context-free is in contrast to context-sensitive. While a context-sensitive grammar has rules of the form\nαAβ → αγβ\n\na context-free one has rules conforming to\nA → γ\n\ni.e. A is derivable to γ independent (free) of the context of α and β.\nThe Wikipedia article on the Chomsky hierarchy explains it in more detail.\n"]], "corpus": "stackexchange"} | |
| {"tstamp": 1722332129.2758, "task_type": "retrieval", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722332129.0629, "finish": 1722332129.2758, "ip": "", "conv_id": "10daca11329744e0bd10a3fd5573fbc9", "model_name": "GritLM/GritLM-7B", "prompt": "is dark chocolate bittersweet or semisweet?", "output": [["is dark chocolate bittersweet or semisweet?", "English Stackexchange\n\nQ: Must cookies contain chocolate in BrE? In British English, my friend informed me that my use of the word cookie was incorrect in referring to a baked item having no chocolate bits in it. Instead the appropriate term would have to be biscuit, as cookie always required some form of chocolate to be inside the biscuit.\nIs this assertion correct?\nThe Oxford dictionary only explains the meaning in American English, not British English: \"A sweet biscuit.\"\nIn case this is relevant, the object in question was a slightly sweet ginger-biscuit/cookie.\n\nA: Until recently, cookie was a foreign word in British English: because of American TV and films, most people knew that it was American for biscuit. \nCookie is now familiar for the large, sweet, not-very-crunchy confections sold in shopping malls. They come in various flavours, and don't have to have chocolate. \nI don't think anybody I know would call traditional-style English biscuits (whether Bath Oliver, Malted Milk, Garibaldi, Ginger nut, Fig roll, or even Hobnob) \"cookies\".\n"]], "corpus": "stackexchange"} | |
| {"tstamp": 1722332168.7132, "task_type": "retrieval", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1722332166.4987, "finish": 1722332168.7132, "ip": "", "conv_id": "c8aaeaa6441c4c09a1bb0388c01bc80d", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": "the names of the beaches on d day", "output": [["the names of the beaches on d day", "List of beaches\n\nThis is a list of beaches of the world, sorted by country. A beach is a landform along the shoreline of an ocean, sea, lake, or river. It usually consists of loose particles, which are often composed of rock, such as sand, gravel, shingle, pebbles, or cobblestones. Beaches typically occur in areas along the coast where wave or current action deposits and reworks sediments. The particles comprising a beach are occasionally biological in origin, such as mollusc shells or coralline algae.\nAfghanistan\nQargha Reservoir\nAlbania\nAlgeria\nBeni Haoua Beach\nAngola\nBaía Azul\nCoatinha beach in Benguela\nAntigua and Barbuda\nThere are 365 beaches on Antigua. The following are some of beaches in Antigua and Barbuda:\nCocoa Point beach, Barbuda,\nDevil's Bridge beach, Saint Philip, Antigua and Barbuda,\nEden beach, near Five Islands, Antigua,\nFive Islands beach, Antigua"]], "corpus": "wikipedia"} | |
| {"tstamp": 1722332168.7132, "task_type": "retrieval", "type": "chat", "model": "Alibaba-NLP/gte-Qwen2-7B-instruct", "gen_params": {}, "start": 1722332166.4987, "finish": 1722332168.7132, "ip": "", "conv_id": "ca9942dc032840418985bc869ce4ec9f", "model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "prompt": "the names of the beaches on d day", "output": [["the names of the beaches on d day", "Military engineering vehicle\n\n1918-1939 Between the wars various experimental bridging tanks were used to test a series of methods for bridging obstacles and developed by the Experimental Bridging Establishment (EBE). Captain SG Galpin RE conceived a prototype Light Tank Mk V to test the Scissors Assault Bridge. This concept was realised by Captain SA Stewart RE with significant input from a Mr DM Delany, a scientific civil servant in the employ of the EBE. MB Wild & Co, Birmingham, also developed a bridge that could span gaps of 26 feet using a complex system of steel wire ropes and a traveling jib, where the front section was projected and then attached to the rear section prior to launching the bridge. This system had to be abandoned due to lack of success in getting it to work, however the idea was later used successfully on the Beaver Bridge Laying Tank.\nEarly World War Two\nOnce World War Two had begun, the development of armoured vehicles for use by engineers in the field was accelerated under Delaney's direction. The EBE rapidly developed an assault bridge carried on a modified Covenanter tank capable of deploying a 24-ton tracked load capacity bridge (Class 24) that could span gaps of 30 feet. However, it did not see service in the British armed forces, and all vehicles were passed onto Allied forces such as Australia and Czechoslovakia.\nA Class 30 design superseded the Class 24 with no real re-design, simply the substitution of the Covenanter tank with a suitably modified Valentine.\nAs tanks in the war got heavier, a new bridge capable of supporting them was developed. A heavily modified Churchill used a single-piece bridge mounted on a turret-less tank and was able to lay the bridge in 90 seconds; this bridge was able to carry a 60-ton tracked or 40-ton wheeled load.\nLate World War 2: Hobart's 'Funnies' and D-Day"]], "corpus": "wikipedia"} | |
| {"tstamp": 1722332208.1871, "task_type": "retrieval", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722332206.0189, "finish": 1722332208.1871, "ip": "", "conv_id": "21fb6d186403400dabd7c88d43d22edd", "model_name": "GritLM/GritLM-7B", "prompt": "are archetypes and stereotypes the same?", "output": [["are archetypes and stereotypes the same?", "Carl Jung\n\nArchetype The archetype is a concept \"borrowed\" from anthropology to denote a process of nature. Jung's definitions of archetypes varied over time and have been the subject of debate as to their usefulness. Archetypal images, also referred to as motifs in mythology, are universal symbols that can mediate opposites in the psyche, are often found in religious art, mythology and fairy tales across cultures. Jung saw archetypes as pre-configurations in nature that give rise to repeating, understandable, describable experiences. In addition the concept takes into account the passage of time and of patterns resulting from transformation. Archetypes are said to exist independently of any current event, or its effect. They are said to exert influence both across all domains of experience and throughout the stages of each individual's unique development. Being in part based on heritable physiology, they are thought to have \"existed\" since humans became a differentiated species. They have been deduced through the development of storytelling over tens of thousands of years, indicating repeating patterns of individual and group experience, behaviors, and effects across the planet, apparently displaying common themes.\nThe concept did not originate with Jung but with Plato who first conceived of primordial patterns. Later contributions came from Adolf Bastian, and Hermann Usener among others. In the first half of the twentieth century it proved impossible to objectively isolate and categorize the notion of an archetype within a materialist frame. According to Jung, there are \"as many archetypes as there are typical situations in life\", and he asserted that they have a dynamic mutual influence on one another. Their alleged presence could be extracted from thousand-year-old narratives, from comparative religion and mythology. Jung elaborated many archetypes in \"The Archetypes and the Collective Unconscious\" and in \"Aion: Researches into the Phenomenology of the Self\". Examples of archetypes might be the shadow, the hero, the self, anima, animus, mother, father, child, and trickster."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722332208.1871, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722332206.0189, "finish": 1722332208.1871, "ip": "", "conv_id": "49c180105ee5402fb00b44820260ce74", "model_name": "BAAI/bge-large-en-v1.5", "prompt": "are archetypes and stereotypes the same?", "output": [["are archetypes and stereotypes the same?", "Archetype\n\nThe concept of an archetype ( ; ) appears in areas relating to behavior, historical psychology, and literary analysis.\nAn archetype can be any of the following:\na statement, pattern of behavior, prototype, \"first\" form, or a main model that other statements, patterns of behavior, and objects copy, emulate, or \"merge\" into. Informal synonyms frequently used for this definition include \"standard example\", \"basic example\", and the longer-form \"archetypal example\"; mathematical archetypes often appear as \"canonical examples\".\nthe Platonic concept of pure form, believed to embody the fundamental characteristics of a thing."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722332320.4506, "task_type": "retrieval", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1722332318.2864, "finish": 1722332320.4506, "ip": "", "conv_id": "804ddfe21ba240c19d8b2b8247e7fe5b", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": "Why can't my lawn get too tall in the suburbs?", "output": [["Why can't my lawn get too tall in the suburbs?", "The Suburbs\n\n#2 – Billboards Top 10 Albums of 2010\n#2 – Magnets Top 20 Albums of 2010\n#2 – NMEs Top 75 Albums of 2010\n#2 – Relevant Magazines Top 10 Albums of 2010\n#2 – Stereogum's Top 50 Albums of 2010\n#2 – Times Top 10 Albums of 2010\n#2 – Under the Radars Top 50 Albums of 2010\n#3 – Spins 40 Best Albums of 2010\n#4 – MTV's 20 Best Albums of 2010\n#4 – Rolling Stones 30 Best Albums of 2010\n#7 – Paste Magazine's 50 Best Albums of 2010\n#9 – American Songwriters Top 50 Albums of 2010\n#11 – Drowned in Sound's Albums of the Year\n#11 – Pitchfork's Top 50 Albums of 2010\n#21 – Rough Trade Shops's Albums of the Year (UK)\n#23 – Robert Christgau's 2010 Dean's List\nGlide Magazines Top 20 Albums of 2010\nNPR's 50 Favorite Albums of 2010\nThe single “Ready to Start” was nominated for the Grammy Award for Best Rock Performance by a Duo or Group with Vocal.\nTrack listingNotes\"Suburban War\" is the second to last track on the vinyl version of the album.\n\"We Used to Wait\" finishes on an infinite loop at the end of Side 3 of the vinyl version."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722332320.4506, "task_type": "retrieval", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1722332318.2864, "finish": 1722332320.4506, "ip": "", "conv_id": "09f9e3088f8f45be984082f34dd57d21", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "prompt": "Why can't my lawn get too tall in the suburbs?", "output": [["Why can't my lawn get too tall in the suburbs?", "Lawn\n\nReplacing turf grass with low-maintenance groundcovers or employing a variety of low-maintenance perennials, trees and shrubs can be a good alternative to traditional lawn spaces, especially in hard-to-grow or hard-to-mow areas, as it can reduce maintenance requirements, associated pollution and offers higher aesthetic and wildlife value. Growing a mixed variety of flowering plants instead of turfgrass is sometimes referred to as meadowscaping.\nNon-productive space\nLawns take up space that could otherwise be used more productively, such as for urban agriculture or home gardening. This is the case in many cities and suburbs in the United States, where open or unused spaces are \"not generally a result of a positive decision to leave room for some use, but rather is an expression of a pastoral aesthetic norm that prizes spacious lawns and the zoning restrictions and neighborhood covenants that give these norms the force of law.\"\nIn urban and suburban spaces, growing food in front yards and parking strips can not only provide fresh produce but also be a source of neighborhood pride. While converting lawn space into strictly utilitarian farms is not common, incorporating edible plants into front yards with sustainable and aesthetically pleasing design is of growing interest in the United States."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722342704.0839, "task_type": "retrieval", "type": "chat", "model": "sentence-transformers/all-MiniLM-L6-v2", "gen_params": {}, "start": 1722342701.7306, "finish": 1722342704.0839, "ip": "", "conv_id": "c1e4e2dd9dac48b8a6c28f18bf8f6a8d", "model_name": "sentence-transformers/all-MiniLM-L6-v2", "prompt": "who is the actor that plays ducky on ncis", "output": [["who is the actor that plays ducky on ncis", "List of NCIS cast members\n\nBelow is a list of actors and actresses that are part of the cast of the American police procedural drama television series NCIS.\nCast members\nThis table lists characters who have appeared in two or more episodes (excluding flashbacks) and the cast members who have portrayed them.\nColor key:\n† Indicates the actor/actress is deceased while the series is in production\nCrossovers\nJAG\nMark Harmon, Michael Weatherly, David McCallum, and Pauley Perrette all appeared in two episodes of season eight of JAG that served as a back door pilot.\nPatrick Labyorteaux appeared as his JAG character in three episodes of NCIS (one each in seasons 1, 14, and 15)\nJohn M. Jackson appeared as his JAG character in one episode of season ten of NCIS.\nAdam Baldwin appeared as his JAG character in one episode of season one of NCIS.\nAlicia Coppola appeared as her JAG character in three episodes of NCIS (one in season one and two in season two)."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722342704.0839, "task_type": "retrieval", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1722342701.7306, "finish": 1722342704.0839, "ip": "", "conv_id": "f5f32f5055aa4f4f9d7c2e50fc3cba50", "model_name": "Salesforce/SFR-Embedding-2_R", "prompt": "who is the actor that plays ducky on ncis", "output": [["who is the actor that plays ducky on ncis", "David McCallum\n\nDavid Keith McCallum (19 September 1933 – 25 September 2023) was a Scottish actor and musician, based in the United States. He gained wide recognition in the 1960s for playing secret agent Illya Kuryakin in the television series The Man from U.N.C.L.E (1964–1968). His other notable television roles include Simon Carter in Colditz (1972–1974) and Steel in Sapphire & Steel (1979–1982). Beginning in 2003, McCallum gained renewed international popularity for his role as NCIS medical examiner Dr. Donald \"Ducky\" Mallard in the American CBS television series NCIS, which he played for 20 seasons until his death in 2023. In film roles, McCallum notably appeared in The Great Escape (1963), and as Judas Iscariot in The Greatest Story Ever Told (1965).\nEarly life\nDavid Keith McCallum was born on 19 September 1933 in Glasgow the second of two sons of orchestral violinist David Fotheringham and Dorothy McCallum (née Dorman), a cellist. When he was three, his family moved to London for his father to play as the leader of the London Philharmonic Orchestra. Early in the Second World War, he was evacuated back to Scotland, where he lived with his mother at Gartocharn by Loch Lomond."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722355756.6623, "task_type": "retrieval", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722355754.3574, "finish": 1722355756.6623, "ip": "", "conv_id": "5f22cd5fed984a3094edf1dc060a61ff", "model_name": "GritLM/GritLM-7B", "prompt": "Which test was devised to determine whether robots can think?", "output": [["Which test was devised to determine whether robots can think?", "Turing test\n\nThe test was introduced by Turing in his 1950 paper \"Computing Machinery and Intelligence\" while working at the University of Manchester. It opens with the words: \"I propose to consider the question, 'Can machines think? Because \"thinking\" is difficult to define, Turing chooses to \"replace the question by another, which is closely related to it and is expressed in relatively unambiguous words.\" Turing describes the new form of the problem in terms of a three-person game called the \"imitation game\", in which an interrogator asks questions of a man and a woman in another room in order to determine the correct sex of the two players. Turing's new question is: \"Are there imaginable digital computers which would do well in the imitation game?\" This question, Turing believed, was one that could actually be answered. In the remainder of the paper, he argued against all the major objections to the proposition that \"machines can think\".\nSince Turing introduced his test, it has been both highly influential and widely criticized, and has become an important concept in the philosophy of artificial intelligence. Philosopher John Searle would comment on the Turing test in his Chinese room argument, a thought experiment that stipulates that a machine cannot have a \"mind\", \"understanding\", or \"consciousness\", regardless of how intelligently or human-like the program may make the computer behave. Searle criticizes Turing's test and claims it is insufficient to detect the presence of consciousness.\nHistory"]], "corpus": "wikipedia"} | |
| {"tstamp": 1722355756.6623, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722355754.3574, "finish": 1722355756.6623, "ip": "", "conv_id": "9ef794b8e63b463cb3b5ed634b80ed97", "model_name": "BAAI/bge-large-en-v1.5", "prompt": "Which test was devised to determine whether robots can think?", "output": [["Which test was devised to determine whether robots can think?", "Turing test\n\nThe Turing test, originally called the imitation game by Alan Turing in 1950, is a test of a machine's ability to exhibit intelligent behaviour equivalent to, or indistinguishable from, that of a human. Turing proposed that a human evaluator would judge natural language conversations between a human and a machine designed to generate human-like responses. The evaluator would be aware that one of the two partners in conversation was a machine, and all participants would be separated from one another. The conversation would be limited to a text-only channel, such as a computer keyboard and screen, so the result would not depend on the machine's ability to render words as speech. If the evaluator could not reliably tell the machine from the human, the machine would be said to have passed the test. The test results would not depend on the machine's ability to give correct answers to questions, only on how closely its answers resembled those a human would give. Since the Turing test is a test of indistinguishability in performance capacity, the verbal version generalizes naturally to all of human performance capacity, verbal as well as nonverbal (robotic)."]], "corpus": "wikipedia"} | |
| {"tstamp": 1722355846.2604, "task_type": "retrieval", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722355846.0308, "finish": 1722355846.2604, "ip": "", "conv_id": "cf328bd4ce6842b3b75994dc47cf36e3", "model_name": "GritLM/GritLM-7B", "prompt": "I am searching for a good and large-scale benchmark for testing the performance of text embeddings.", "output": [["I am searching for a good and large-scale benchmark for testing the performance of text embeddings.", "Title: MTEB: Massive Text Embedding Benchmark\n\nAbstract: Text embeddings are commonly evaluated on a small set of datasets from a single task not covering their possible applications to other tasks. It is unclear whether state-of-the-art embeddings on semantic textual similarity (STS) can be equally well applied to other tasks like clustering or reranking. This makes progress in the field difficult to track, as various models are constantly being proposed without proper evaluation. To solve this problem, we introduce the Massive Text Embedding Benchmark (MTEB). MTEB spans 8 embedding tasks covering a total of 58 datasets and 112 languages. Through the benchmarking of 33 models on MTEB, we establish the most comprehensive benchmark of text embeddings to date. We find that no particular text embedding method dominates across all tasks. This suggests that the field has yet to converge on a universal text embedding method and scale it up sufficiently to provide state-of-the-art results on all embedding tasks. MTEB comes with open-source code and a public leaderboard at https://github.com/embeddings-benchmark/mteb."]], "corpus": "arxiv"} | |
| {"tstamp": 1722355846.2604, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722355846.0308, "finish": 1722355846.2604, "ip": "", "conv_id": "e612be7a0fc542c981bdede00d9d4ced", "model_name": "BAAI/bge-large-en-v1.5", "prompt": "I am searching for a good and large-scale benchmark for testing the performance of text embeddings.", "output": [["I am searching for a good and large-scale benchmark for testing the performance of text embeddings.", "Title: MTEB: Massive Text Embedding Benchmark\n\nAbstract: Text embeddings are commonly evaluated on a small set of datasets from a single task not covering their possible applications to other tasks. It is unclear whether state-of-the-art embeddings on semantic textual similarity (STS) can be equally well applied to other tasks like clustering or reranking. This makes progress in the field difficult to track, as various models are constantly being proposed without proper evaluation. To solve this problem, we introduce the Massive Text Embedding Benchmark (MTEB). MTEB spans 8 embedding tasks covering a total of 58 datasets and 112 languages. Through the benchmarking of 33 models on MTEB, we establish the most comprehensive benchmark of text embeddings to date. We find that no particular text embedding method dominates across all tasks. This suggests that the field has yet to converge on a universal text embedding method and scale it up sufficiently to provide state-of-the-art results on all embedding tasks. MTEB comes with open-source code and a public leaderboard at https://github.com/embeddings-benchmark/mteb."]], "corpus": "arxiv"} | |