Scheduled Commit

data/clustering_individual-cc11c9ee-fc93-4cd6-a4b5-246a7f21038c.jsonl

@@ -6,3 +6,5 @@
 {"tstamp": 1722312058.4588, "task_type": "clustering", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722312058.3715, "finish": 1722312058.4588, "ip": "", "conv_id": "8b4846ae81404f1789b93209af878988", "model_name": "BAAI/bge-large-en-v1.5", "prompt": ["chamomile", "black", "white", "rooibos", "rupee", "yuan", "yen", "franc", "polystyrene", "nylon", "acrylic", "polyethylene", "polypropylene", "PVC", "Indian", "Southern", "Arctic"], "ncluster": 2, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
 {"tstamp": 1722312069.4941, "task_type": "clustering", "type": "chat", "model": "intfloat/e5-mistral-7b-instruct", "gen_params": {}, "start": 1722312064.7124, "finish": 1722312069.4941, "ip": "", "conv_id": "38ec8f2c9b4e42969d5da586e1d6b4c6", "model_name": "intfloat/e5-mistral-7b-instruct", "prompt": ["molar", "premolar", "canine", "wisdom tooth", "incisor", "temperate", "boreal", "mangrove", "cloud", "buffet", "cafe", "bistro", "fast casual", "horror", "drama", "thriller", "alliteration", "irony", "metaphor", "onomatopoeia", "personification"], "ncluster": 5, "output": "", "ndim": "2D (press for 3D)", "dim_method": "PCA", "clustering_method": "KMeans"}
 {"tstamp": 1722312069.4941, "task_type": "clustering", "type": "chat", "model": "embed-english-v3.0", "gen_params": {}, "start": 1722312064.7124, "finish": 1722312069.4941, "ip": "", "conv_id": "35c637773f2e4f52933968a185ac9b34", "model_name": "embed-english-v3.0", "prompt": ["molar", "premolar", "canine", "wisdom tooth", "incisor", "temperate", "boreal", "mangrove", "cloud", "buffet", "cafe", "bistro", "fast casual", "horror", "drama", "thriller", "alliteration", "irony", "metaphor", "onomatopoeia", "personification"], "ncluster": 5, "output": "", "ndim": "2D (press for 3D)", "dim_method": "PCA", "clustering_method": "KMeans"}
+{"tstamp": 1722323583.0147, "task_type": "clustering", "type": "chat", "model": "Alibaba-NLP/gte-Qwen2-7B-instruct", "gen_params": {}, "start": 1722323582.9291, "finish": 1722323583.0147, "ip": "", "conv_id": "5f0612277df64e90a86422b9377b4b5b", "model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "prompt": ["dome", "block", "fold", "plateau", "volcanic", "tuna", "halibut", "bass"], "ncluster": 2, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
+{"tstamp": 1722323583.0147, "task_type": "clustering", "type": "chat", "model": "intfloat/multilingual-e5-large-instruct", "gen_params": {}, "start": 1722323582.9291, "finish": 1722323583.0147, "ip": "", "conv_id": "5d5df83eebd04705b0eba0b90b6c2840", "model_name": "intfloat/multilingual-e5-large-instruct", "prompt": ["dome", "block", "fold", "plateau", "volcanic", "tuna", "halibut", "bass"], "ncluster": 2, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}

data/retrieval_battle-cc11c9ee-fc93-4cd6-a4b5-246a7f21038c.jsonl

@@ -17,3 +17,5 @@
 {"tstamp": 1722323403.0814, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "d7deac95111849b5a67aa34d71f5d40a", "0_model_name": "jinaai/jina-embeddings-v2-base-en", "0_prompt": "what must be present for a combustion reaction to occur", "0_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)."]], "0_corpus": "wikipedia", "1_conv_id": "b2c7ffa0ae854719b26bc29a9bcbaca1", "1_model_name": "mixedbread-ai/mxbai-embed-large-v1", "1_prompt": "what must be present for a combustion reaction to occur", "1_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."]], "1_corpus": "wikipedia"}
 {"tstamp": 1722323461.232, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "100163aa866147609fbd9d951dfafbd5", "0_model_name": "voyage-multilingual-2", "0_prompt": "bosnia and herzegovina croatia macedonia and slovenia all used to be parts of", "0_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)"]], "0_corpus": "wikipedia", "1_conv_id": "f55fcfc3f40a44b78ce217170a72ce9e", "1_model_name": "embed-english-v3.0", "1_prompt": "bosnia and herzegovina croatia macedonia and slovenia all used to be parts of", "1_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."]], "1_corpus": "wikipedia"}
 {"tstamp": 1722323530.0413, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "c15c1f9386524ab895d7458a8bdbc5c4", "0_model_name": "text-embedding-3-large", "0_prompt": "who sings oh what a night late december back in 63", "0_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."]], "0_corpus": "wikipedia", "1_conv_id": "b1090d755a334a248da374f11ebff0c1", "1_model_name": "text-embedding-004", "1_prompt": "who sings oh what a night late december back in 63", "1_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."]], "1_corpus": "wikipedia"}
+{"tstamp": 1722323678.7371, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "d05a23def59e46b4803a8069fb638c59", "0_model_name": "BAAI/bge-large-en-v1.5", "0_prompt": "are wheels and tires the same thing?", "0_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"]], "0_corpus": "stackexchange", "1_conv_id": "aac08c9f83ea411baac1075785e541b8", "1_model_name": "mixedbread-ai/mxbai-embed-large-v1", "1_prompt": "are wheels and tires the same thing?", "1_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"]], "1_corpus": "stackexchange"}
+{"tstamp": 1722323714.6426, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "cfcda1f7681d4cffb17d34a6aac5bd39", "0_model_name": "mixedbread-ai/mxbai-embed-large-v1", "0_prompt": "Using monolingual data to improve ASR on code-switching languages.", "0_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."]], "0_corpus": "arxiv", "1_conv_id": "c22b5039c2054c1bb22922177a2ac459", "1_model_name": "sentence-transformers/all-MiniLM-L6-v2", "1_prompt": "Using monolingual data to improve ASR on code-switching languages.", "1_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."]], "1_corpus": "arxiv"}

data/retrieval_individual-cc11c9ee-fc93-4cd6-a4b5-246a7f21038c.jsonl

@@ -46,3 +46,7 @@
 {"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"}

data/sts_individual-cc11c9ee-fc93-4cd6-a4b5-246a7f21038c.jsonl

@@ -1,2 +1,4 @@
 {"tstamp": 1722312079.434, "task_type": "sts", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1722312079.2135, "finish": 1722312079.434, "ip": "", "conv_id": "9f60691c6b1244648c416a5f5ea4fcee", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "txt0": "It was, the Sphinx explains, his answer to the   Man.", "txt1": "The Sphinx refused to give any explanations.", "txt2": "According to the Sphinx, it was his answer to mankind.", "output": ""}
 {"tstamp": 1722312079.434, "task_type": "sts", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1722312079.2135, "finish": 1722312079.434, "ip": "", "conv_id": "377c91b92cce4129afe8a2affc21ece3", "model_name": "Salesforce/SFR-Embedding-2_R", "txt0": "It was, the Sphinx explains, his answer to the   Man.", "txt1": "The Sphinx refused to give any explanations.", "txt2": "According to the Sphinx, it was his answer to mankind.", "output": ""}
+{"tstamp": 1722323562.7409, "task_type": "sts", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722323562.6928, "finish": 1722323562.7409, "ip": "", "conv_id": "40c44929c8314e5f9c51186d3226e843", "model_name": "BAAI/bge-large-en-v1.5", "txt0": "A man in a red plaid shirt using a bull horn to talk to a crowd of people.", "txt1": "a man talking to a crowd", "txt2": "a man in an empty park", "output": ""}
+{"tstamp": 1722323562.7409, "task_type": "sts", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722323562.6928, "finish": 1722323562.7409, "ip": "", "conv_id": "e2dd98dbff4846ff9c0efb4ed7f092d9", "model_name": "GritLM/GritLM-7B", "txt0": "A man in a red plaid shirt using a bull horn to talk to a crowd of people.", "txt1": "a man talking to a crowd", "txt2": "a man in an empty park", "output": ""}