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data/retrieval_battle-76c7b5f4-5fbc-4311-bf05-8defcdc1ba4e.jsonl CHANGED
@@ -67,3 +67,4 @@
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  {"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"}
68
  {"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"}
69
  {"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"}
 
 
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  {"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"}
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  {"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"}
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  {"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"}
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+ {"tstamp": 1723013175.683, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "63985312d9a24edfade790f214db7924", "0_model_name": "voyage-multilingual-2", "0_prompt": "code civil c么te d'ivoire", "0_output": [["code civil c么te d'ivoire", "Stackoverflow Stackexchange\n\nQ: CodeIgniter Error: variable references I've deployed my source code in XAMPP. I'm getting following errors.\n\nNotice: Only variable references should be returned by reference in C:\\xampp\\htdocs\\3c_app\\public_html\\system\\core\\Common.php on line 257\n Fatal error: Class 'CI_Controller' not found in C:\\xampp\\htdocs\\3c_app\\public_html\\system\\core\\CodeIgniter.php on line 233.\n\nMy source files are:\nCommon.php\n// Are any values being dynamically replaced?\n if (count($replace) > 0)\n {\n foreach ($replace as $key => $val)\n {\n if (isset($config[$key]))\n {\n $config[$key] = $val;\n }\n }\n }\n\n return $_config[0] =& $config;\n}\n\nline 257 is: return $_config[0] =& $config; and \nCodeigniter.php \n// Fetch the config file\n if ( ! file_exists($file_path))\n {\n exit('The configuration file does not exist.');\n }\n\n require($file_path);\n\nline 233: if ( ! file_exists($file_path))\nCan any one help???\n\nA: Try this one: \nChange it in your Common.php\nif (count($replace) > 0){\n foreach ($replace as $key => $val){\n if (isset($config[$key])){\n $config[$key] = $val;\n }\n }\n}\n\n$_config[0] =& $config;\nreturn $_config[0];\n\nSee also here , for more reference : Only variable references should be returned by reference - Codeigniter . I hope this helps.\n"]], "0_corpus": "stackexchange", "1_conv_id": "8c654d3a8e184e6ebac96b8816ed03b8", "1_model_name": "nomic-ai/nomic-embed-text-v1.5", "1_prompt": "code civil c么te d'ivoire", "1_output": [["code civil c么te d'ivoire", "Stackoverflow Stackexchange\n\nQ: Library of ISO standards Is there any library that covers ISO standards of international abbreviations, formats and other, or everybody uses his version of CountryCodes like:\n public enum CountryCode\n {\n AL, // Albania\n AD, // Andorra\n AM, // Armenia\n AT, // Austria\n ...\n }\n\nWant to have country codes, currency and funds name and code elements\nBCL implements many ISO standards but they spread among a lot of classes. Will be useful when you know, that if you need to format date by ISO 8601, you use Iso.Formatting.Format(DateTime.Now);\nPS:\nI know about System.Globalization.CultureInfo\n\nA: The RegionInfo class is your primary resource. It includes currency names (ISO, English and native) and two and three letter region names.\n"]], "1_corpus": "stackexchange"}
data/retrieval_individual-76c7b5f4-5fbc-4311-bf05-8defcdc1ba4e.jsonl CHANGED
@@ -287,3 +287,7 @@
287
  {"tstamp": 1723003556.2211, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1723003553.8521, "finish": 1723003556.2211, "ip": "", "conv_id": "1ab4f79daaea4d2989fa78aafc49a42f", "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"}
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  {"tstamp": 1723003597.9188, "task_type": "retrieval", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1723003595.5796, "finish": 1723003597.9188, "ip": "", "conv_id": "12cfaacef313404ab4c8c005035947a1", "model_name": "Salesforce/SFR-Embedding-2_R", "prompt": "Cara menanam pisang ", "output": [["Cara menanam pisang ", "Latundan banana\n\nThe Latundan banana (also called Tundan, silk banana, Pisang raja sereh, Manzana banana, or apple banana) is a triploid hybrid banana cultivar of the AAB \"Pome\" group from the Philippines. It is one of the most common banana cultivars in Southeast Asia and the Philippines, along with Lacatan and Saba bananas. Its Malaysian name is pisang rastali.\nDescription\nLatundan banana plants typically reach a height of 3-4 meter (10-13 feet). They require full or partial sun exposure. The flowers are yellow, purple, or ivory in color. The fruits are round-tipped with thin yellow skin that splits once fully ripe. They are smaller than the Lacatan cultivar and the commercially dominant Cavendish bananas. They have a slightly acidic, apple-like flavor.\nTaxonomy\nIn older classifications, the Latundan cultivar was once the plant referred to as Musa sapientum. It has since been discovered that Musa sapientum is a hybrid cultivar of the wild seeded bananas Musa balbisiana and Musa acuminata and not a species.\nThe Latundan banana is a triploid (AAB) hybrid.\nIts full name is Musa acuminata 脳 M.聽balbisiana (AAB Group) 'Silk'.\nUses\nCulinary\nLatundan bananas are popular dessert bananas that are eaten raw or cooked without the skin. The shoots and stalks are eaten cooked. In Myanmar and Thailand, the flowers are cooked and eaten in some recipes.\nHome Decor\nThey are also cultivated as ornamental plants.\nDiseases"]], "corpus": "wikipedia"}
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  {"tstamp": 1723003597.9188, "task_type": "retrieval", "type": "chat", "model": "intfloat/e5-mistral-7b-instruct", "gen_params": {}, "start": 1723003595.5796, "finish": 1723003597.9188, "ip": "", "conv_id": "1be0cc46e1d146a28860e14f96fa544d", "model_name": "intfloat/e5-mistral-7b-instruct", "prompt": "Cara menanam pisang ", "output": [["Cara menanam pisang ", "Banana fritter\n\nPisang goreng is usually sold together with other gorengan fritters including fried tofu and tempeh. However, Pisang goreng Pontianak are widely popular in Indonesia with certain retail outlets exclusively selling only this type of banana fritters.\nPisang goreng variants\nIndonesia has many varieties of pisang goreng, including:\nPisang goreng kipas or Pisang goreng Pontianak Refers to banana cut in the shape of a fan, battered, and deep fried. The term pisang goreng Pontianak is often used interchangeably with pisang goreng kipas, as both have a similar fan-like shape, but the former is often filled or served with kaya jam.\nPisang goreng pasir Literally meaning \"sandy fried banana\", bread crumbs are added to the batter, resulting in grainy, crispy crumbs on the skin, giving it a similar texture to croquette.\nPisang goreng kremes Javanese pisang goreng kremes is quite similar to pisang goreng pasir, but with a different batter composition and a different frying technique. The batter coating is made of rice flour, vanilla extract, and coconut milk, deep fried in an ample of hot cooking oil, creating crispy and crunchy kremes granules in the coating, and resulting in a sweet, fragrant aroma.\nPisang goreng madu Literally meaning \"honey fried banana\", honey is added into the batter, and prior to serving honey is drizzled upon the fried banana. The color is rather dark due to the caramelised honey."]], "corpus": "wikipedia"}
 
 
 
 
 
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  {"tstamp": 1723003556.2211, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1723003553.8521, "finish": 1723003556.2211, "ip": "", "conv_id": "1ab4f79daaea4d2989fa78aafc49a42f", "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"}
288
  {"tstamp": 1723003597.9188, "task_type": "retrieval", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1723003595.5796, "finish": 1723003597.9188, "ip": "", "conv_id": "12cfaacef313404ab4c8c005035947a1", "model_name": "Salesforce/SFR-Embedding-2_R", "prompt": "Cara menanam pisang ", "output": [["Cara menanam pisang ", "Latundan banana\n\nThe Latundan banana (also called Tundan, silk banana, Pisang raja sereh, Manzana banana, or apple banana) is a triploid hybrid banana cultivar of the AAB \"Pome\" group from the Philippines. It is one of the most common banana cultivars in Southeast Asia and the Philippines, along with Lacatan and Saba bananas. Its Malaysian name is pisang rastali.\nDescription\nLatundan banana plants typically reach a height of 3-4 meter (10-13 feet). They require full or partial sun exposure. The flowers are yellow, purple, or ivory in color. The fruits are round-tipped with thin yellow skin that splits once fully ripe. They are smaller than the Lacatan cultivar and the commercially dominant Cavendish bananas. They have a slightly acidic, apple-like flavor.\nTaxonomy\nIn older classifications, the Latundan cultivar was once the plant referred to as Musa sapientum. It has since been discovered that Musa sapientum is a hybrid cultivar of the wild seeded bananas Musa balbisiana and Musa acuminata and not a species.\nThe Latundan banana is a triploid (AAB) hybrid.\nIts full name is Musa acuminata 脳 M.聽balbisiana (AAB Group) 'Silk'.\nUses\nCulinary\nLatundan bananas are popular dessert bananas that are eaten raw or cooked without the skin. The shoots and stalks are eaten cooked. In Myanmar and Thailand, the flowers are cooked and eaten in some recipes.\nHome Decor\nThey are also cultivated as ornamental plants.\nDiseases"]], "corpus": "wikipedia"}
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  {"tstamp": 1723003597.9188, "task_type": "retrieval", "type": "chat", "model": "intfloat/e5-mistral-7b-instruct", "gen_params": {}, "start": 1723003595.5796, "finish": 1723003597.9188, "ip": "", "conv_id": "1be0cc46e1d146a28860e14f96fa544d", "model_name": "intfloat/e5-mistral-7b-instruct", "prompt": "Cara menanam pisang ", "output": [["Cara menanam pisang ", "Banana fritter\n\nPisang goreng is usually sold together with other gorengan fritters including fried tofu and tempeh. However, Pisang goreng Pontianak are widely popular in Indonesia with certain retail outlets exclusively selling only this type of banana fritters.\nPisang goreng variants\nIndonesia has many varieties of pisang goreng, including:\nPisang goreng kipas or Pisang goreng Pontianak Refers to banana cut in the shape of a fan, battered, and deep fried. The term pisang goreng Pontianak is often used interchangeably with pisang goreng kipas, as both have a similar fan-like shape, but the former is often filled or served with kaya jam.\nPisang goreng pasir Literally meaning \"sandy fried banana\", bread crumbs are added to the batter, resulting in grainy, crispy crumbs on the skin, giving it a similar texture to croquette.\nPisang goreng kremes Javanese pisang goreng kremes is quite similar to pisang goreng pasir, but with a different batter composition and a different frying technique. The batter coating is made of rice flour, vanilla extract, and coconut milk, deep fried in an ample of hot cooking oil, creating crispy and crunchy kremes granules in the coating, and resulting in a sweet, fragrant aroma.\nPisang goreng madu Literally meaning \"honey fried banana\", honey is added into the batter, and prior to serving honey is drizzled upon the fried banana. The color is rather dark due to the caramelised honey."]], "corpus": "wikipedia"}
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+ {"tstamp": 1723013160.5687, "task_type": "retrieval", "type": "chat", "model": "voyage-multilingual-2", "gen_params": {}, "start": 1723013158.1494, "finish": 1723013160.5687, "ip": "", "conv_id": "070ba3115f4b48ebb718833cf62ba782", "model_name": "voyage-multilingual-2", "prompt": "How to fly to the moon?", "output": [["How to fly to the moon?", "Delta-v budget\n\nEarth鈥揗oon space鈥攍ow thrust Current electric ion thrusters produce a very low thrust (milli-newtons, yielding a small fraction of a g), so the Oberth effect cannot normally be used. This results in the journey requiring a higher delta-v and frequently a large increase in time compared to a high thrust chemical rocket. Nonetheless, the high specific impulse of electrical thrusters may significantly reduce the cost of the flight. For missions in the Earth鈥揗oon system, an increase in journey time from days to months could be unacceptable for human space flight, but differences in flight time for interplanetary flights are less significant and could be favorable.\nThe table below presents delta-vs in km/s, normally accurate to 2 significant figures and will be the same in both directions, unless aerobraking is used as described in the high thrust section above.\nEarth Lunar Gateway鈥攈igh thrust\nThe Lunar Gateway space station is planned to be deployed in a highly elliptical seven-day near-rectilinear halo orbit (NRHO) around the Moon. Spacecraft launched from Earth would perform a powered flyby of the Moon followed by a NRHO orbit insertion burn to dock with the Gateway as it approaches the apoapsis point of its orbit.\nInterplanetary\nThe spacecraft is assumed to be using chemical propulsion and the Oberth effect.\nAccording to Marsden and Ross, \"The energy levels of the Sun鈥揈arth and points differ from those of the Earth鈥揗oon system by only 50 m/s (as measured by maneuver velocity).\"\nWe may apply the formula"]], "corpus": "wikipedia"}
291
+ {"tstamp": 1723013160.5687, "task_type": "retrieval", "type": "chat", "model": "Alibaba-NLP/gte-Qwen2-7B-instruct", "gen_params": {}, "start": 1723013158.1494, "finish": 1723013160.5687, "ip": "", "conv_id": "d3c0a8299bc049f4a7e8b105d99655ae", "model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "prompt": "How to fly to the moon?", "output": [["How to fly to the moon?", "Lunar lander\n\nA lunar lander or Moon lander is a spacecraft designed to land on the surface of the Moon. As of 2024, the Apollo Lunar Module is the only lunar lander to have ever been used in human spaceflight, completing six lunar landings from 1969 to 1972 during the United States' Apollo Program. Several robotic landers have reached the surface, and some have returned samples to Earth.\nThe design requirements for these landers depend on factors imposed by the payload, flight rate, propulsive requirements, and configuration constraints. Other important design factors include overall energy requirements, mission duration, the type of mission operations on the lunar surface, and life support system if crewed. The relatively high gravity (higher than all known asteroids, but lower than all Solar System planets) and lack of lunar atmosphere negates the use of aerobraking, so a lander must use propulsion to decelerate and achieve a soft landing.\nHistory"]], "corpus": "wikipedia"}
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+ {"tstamp": 1723013165.0276, "task_type": "retrieval", "type": "chat", "model": "voyage-multilingual-2", "gen_params": {}, "start": 1723013162.6548, "finish": 1723013165.0276, "ip": "", "conv_id": "63985312d9a24edfade790f214db7924", "model_name": "voyage-multilingual-2", "prompt": "code civil c么te d'ivoire", "output": [["code civil c么te d'ivoire", "Stackoverflow Stackexchange\n\nQ: CodeIgniter Error: variable references I've deployed my source code in XAMPP. I'm getting following errors.\n\nNotice: Only variable references should be returned by reference in C:\\xampp\\htdocs\\3c_app\\public_html\\system\\core\\Common.php on line 257\n Fatal error: Class 'CI_Controller' not found in C:\\xampp\\htdocs\\3c_app\\public_html\\system\\core\\CodeIgniter.php on line 233.\n\nMy source files are:\nCommon.php\n// Are any values being dynamically replaced?\n if (count($replace) > 0)\n {\n foreach ($replace as $key => $val)\n {\n if (isset($config[$key]))\n {\n $config[$key] = $val;\n }\n }\n }\n\n return $_config[0] =& $config;\n}\n\nline 257 is: return $_config[0] =& $config; and \nCodeigniter.php \n// Fetch the config file\n if ( ! file_exists($file_path))\n {\n exit('The configuration file does not exist.');\n }\n\n require($file_path);\n\nline 233: if ( ! file_exists($file_path))\nCan any one help???\n\nA: Try this one: \nChange it in your Common.php\nif (count($replace) > 0){\n foreach ($replace as $key => $val){\n if (isset($config[$key])){\n $config[$key] = $val;\n }\n }\n}\n\n$_config[0] =& $config;\nreturn $_config[0];\n\nSee also here , for more reference : Only variable references should be returned by reference - Codeigniter . I hope this helps.\n"]], "corpus": "stackexchange"}
293
+ {"tstamp": 1723013165.0276, "task_type": "retrieval", "type": "chat", "model": "nomic-ai/nomic-embed-text-v1.5", "gen_params": {}, "start": 1723013162.6548, "finish": 1723013165.0276, "ip": "", "conv_id": "8c654d3a8e184e6ebac96b8816ed03b8", "model_name": "nomic-ai/nomic-embed-text-v1.5", "prompt": "code civil c么te d'ivoire", "output": [["code civil c么te d'ivoire", "Stackoverflow Stackexchange\n\nQ: Library of ISO standards Is there any library that covers ISO standards of international abbreviations, formats and other, or everybody uses his version of CountryCodes like:\n public enum CountryCode\n {\n AL, // Albania\n AD, // Andorra\n AM, // Armenia\n AT, // Austria\n ...\n }\n\nWant to have country codes, currency and funds name and code elements\nBCL implements many ISO standards but they spread among a lot of classes. Will be useful when you know, that if you need to format date by ISO 8601, you use Iso.Formatting.Format(DateTime.Now);\nPS:\nI know about System.Globalization.CultureInfo\n\nA: The RegionInfo class is your primary resource. It includes currency names (ISO, English and native) and two and three letter region names.\n"]], "corpus": "stackexchange"}