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 {"tstamp": 1722976871.1441, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "67a7489e48f44809a5556eb1ebf0d12d", "0_model_name": "mixedbread-ai/mxbai-embed-large-v1", "0_prompt": "what is 1+1 explained with philosophy", "0_output": [["what is 1+1 explained with philosophy", "2 + 2 = 5\n\nIn the 17th century, in the Meditations on First Philosophy, in which the Existence of God and the Immortality of the Soul are Demonstrated (1641), René Descartes said that the standard of truth is self-evidence of clear and distinct ideas. Despite the logician Descartes' understanding of \"self-evident truth\", the philosopher Descartes considered that the self-evident truth of \"two plus two equals four\" might not exist beyond the human mind; that there might not exist correspondence between abstract ideas and concrete reality.\nIn establishing the mundane reality of the self-evident truth of 2 + 2 = 4, in De Neutralibus et Mediis Libellus (1652) Johann Wigand said: \"That twice two are four; a man may not lawfully make a doubt of it, because that manner of knowledge is grauen [graven] into mannes [man's] nature.\"\nIn the comedy-of-manners play Dom Juan, or The Feast with the Statue (1665), by Molière, the libertine protagonist, Dom Juan, is asked in what values he believes, and answers that he believes \"two plus two equals four\".\nIn the 18th century, the self-evident falsehood of 2 + 2 = 5 was attested in the Cyclopædia, or an Universal Dictionary of Arts and Sciences (1728), by Ephraim Chambers: \"Thus, a Proposition would be absurd, that should affirm, that two and two make five; or that should deny 'em to make four.\" In 1779, Samuel Johnson likewise said that \"You may have a reason why two and two should make five, but they will still make but four.\""]], "0_corpus": "wikipedia", "1_conv_id": "11b5123d1ddc408395b374a2a912fc46", "1_model_name": "text-embedding-004", "1_prompt": "what is 1+1 explained with philosophy", "1_output": [["what is 1+1 explained with philosophy", "Philosophy of mathematics\n\nMany thinkers have contributed their ideas concerning the nature of mathematics. Today, some philosophers of mathematics aim to give accounts of this form of inquiry and its products as they stand, while others emphasize a role for themselves that goes beyond simple interpretation to critical analysis. There are traditions of mathematical philosophy in both Western philosophy and Eastern philosophy. Western philosophies of mathematics go as far back as Pythagoras, who described the theory \"everything is mathematics\" (mathematicism), Plato, who paraphrased Pythagoras, and studied the ontological status of mathematical objects, and Aristotle, who studied logic and issues related to infinity (actual versus potential).\nGreek philosophy on mathematics was strongly influenced by their study of geometry. For example, at one time, the Greeks held the opinion that 1 (one) was not a number, but rather a unit of arbitrary length. A number was defined as a multitude. Therefore, 3, for example, represented a certain multitude of units, and was thus \"truly\" a number. At another point, a similar argument was made that 2 was not a number but a fundamental notion of a pair. These views come from the heavily geometric straight-edge-and-compass viewpoint of the Greeks: just as lines drawn in a geometric problem are measured in proportion to the first arbitrarily drawn line, so too are the numbers on a number line measured in proportion to the arbitrary first \"number\" or \"one\"."]], "1_corpus": "wikipedia"}
 {"tstamp": 1722982804.6275, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "90fb585d63e94540b4634b27c1bb06bb", "0_model_name": "text-embedding-004", "0_prompt": "Surinam cherry medical uses", "0_output": [["Surinam cherry medical uses", "Schinus terebinthifolia\n\nThroughout South and Central America, Brazilian peppertree is reported to be an astringent, antibacterial, diuretic, digestive stimulant, tonic, antiviral and wound healer. In Peru, the sap is used as a mild laxative and a diuretic and the entire plant is used externally for fractures and as a topical antiseptic. The oleoresin is used externally as a wound healer, to stop bleeding and for toothaches and it is taken internally for rheumatism and as a purgative. In South Africa, a leaf tea is used to treat colds and a leaf decoction is inhaled for colds, hypertension, depression and irregular heartbeat. In the Brazilian Amazon, a bark tea is used as a laxative and a bark-and-leaf tea is used as a stimulant and antidepressant. In Argentina, a decoction is made with the dried leaves and is taken for menstrual disorders and is also used for respiratory and urinary tract infections and disorders.\nBrazilian peppertree is still employed in herbal medicine today in many countries. It is used for many conditions in the tropics, including menstrual disorders, bronchitis, gingivitis, gonorrhea, gout, eye infections, rheumatism, sores, swellings, tuberculosis, ulcers, urethritis, urogenital disorders, venereal diseases, warts and wounds. In Brazilian herbal medicine today, the dried bark and leaves are employed for heart problems (hypertension and irregular heart beat), infections of all sorts, menstrual disorders with excessive bleeding, tumors and general inflammation. A liquid extract or tincture prepared with the bark is used internally as a stimulant, tonic and astringent and externally for rheumatism, gout and syphilis.\nRecently, the fruit of the plant has been studied and shows promise as a treatment for MRSA. A chemical in the berry appears to stop bacteria from producing a toxin which breaks down tissue. It also appears to suppress the way the bacteria communicate."]], "0_corpus": "wikipedia", "1_conv_id": "06dc6759afc64cddb273ec0b3bffea90", "1_model_name": "embed-english-v3.0", "1_prompt": "Surinam cherry medical uses", "1_output": [["Surinam cherry medical uses", "Schinus terebinthifolia\n\nThroughout South and Central America, Brazilian peppertree is reported to be an astringent, antibacterial, diuretic, digestive stimulant, tonic, antiviral and wound healer. In Peru, the sap is used as a mild laxative and a diuretic and the entire plant is used externally for fractures and as a topical antiseptic. The oleoresin is used externally as a wound healer, to stop bleeding and for toothaches and it is taken internally for rheumatism and as a purgative. In South Africa, a leaf tea is used to treat colds and a leaf decoction is inhaled for colds, hypertension, depression and irregular heartbeat. In the Brazilian Amazon, a bark tea is used as a laxative and a bark-and-leaf tea is used as a stimulant and antidepressant. In Argentina, a decoction is made with the dried leaves and is taken for menstrual disorders and is also used for respiratory and urinary tract infections and disorders.\nBrazilian peppertree is still employed in herbal medicine today in many countries. It is used for many conditions in the tropics, including menstrual disorders, bronchitis, gingivitis, gonorrhea, gout, eye infections, rheumatism, sores, swellings, tuberculosis, ulcers, urethritis, urogenital disorders, venereal diseases, warts and wounds. In Brazilian herbal medicine today, the dried bark and leaves are employed for heart problems (hypertension and irregular heart beat), infections of all sorts, menstrual disorders with excessive bleeding, tumors and general inflammation. A liquid extract or tincture prepared with the bark is used internally as a stimulant, tonic and astringent and externally for rheumatism, gout and syphilis.\nRecently, the fruit of the plant has been studied and shows promise as a treatment for MRSA. A chemical in the berry appears to stop bacteria from producing a toxin which breaks down tissue. It also appears to suppress the way the bacteria communicate."]], "1_corpus": "wikipedia"}
 {"tstamp": 1722998081.7847, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "14225fa3315a4aa3a185f8a1b579ba78", "0_model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "0_prompt": "Which test was devised to determine whether robots can think?", "0_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)."]], "0_corpus": "wikipedia", "1_conv_id": "adf2661568444b888e1c60db668744b3", "1_model_name": "text-embedding-004", "1_prompt": "Which test was devised to determine whether robots can think?", "1_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)."]], "1_corpus": "wikipedia"}
+{"tstamp": 1723001746.7401, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "c4f3d89f32dd4b66854d816bb7071e74", "0_model_name": "voyage-multilingual-2", "0_prompt": "Is embedding vectors the only method to calculate similarity of text documents?", "0_output": [["Is embedding vectors the only method to calculate similarity of text documents?", "Stackoverflow Stackexchange\n\nQ: Best way to compare meaning of text documents? I'm trying to find the best way to compare two text documents using AI and machine learning methods. I've used the TF-IDF-Cosine Similarity and other similarity measures, but this compares the documents at a word (or n-gram) level.\nI'm looking for a method that allows me to compare the meaning of the documents. What is the best way to do that?\n\nA: You should start reading about word2vec model.\nuse gensim, get the pretrained model of google.\nFor vectoring a document, use Doc2vec() function. \nAfter getting vectors for all your document, use some distance metric like cosine distance or euclidean distance for comparison.  \n"]], "0_corpus": "stackexchange", "1_conv_id": "f26f551c048942b1ae4396ef0942d21c", "1_model_name": "Salesforce/SFR-Embedding-2_R", "1_prompt": "Is embedding vectors the only method to calculate similarity of text documents?", "1_output": [["Is embedding vectors the only method to calculate similarity of text documents?", "Stats Stackexchange\n\nQ: Other documents features than tf-idf for clustering? What are other feature representations for documents that are used for clustering textual documents? The only representation I'm aware of is tf-idf. Are there other ones?\n\nA: Technically, TF/IDF is not a feature extraction scheme.\nThe feature representation is \"the words in the document\". The TF/IDF part is the weighting of the individual features for similarity computation.\nThere are other representations, including bag of words, n-grams (really look this one up) and in a wider sense: minhash.\n"]], "1_corpus": "stackexchange"}