Scheduled Commit

data/retrieval_battle-dd51f1d2-bf9d-4e42-9a72-5b30dd2bd338.jsonl

@@ -10,3 +10,6 @@
 {"tstamp": 1722358118.4642, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "6e69d5cf6ca64ba795f4d1b52f734ef6", "0_model_name": "intfloat/multilingual-e5-large-instruct", "0_prompt": "inpars", "0_output": [["inpars", "Title: ParPaRaw: Massively Parallel Parsing of Delimiter-Separated Raw Data\n\nAbstract: Parsing is essential for a wide range of use cases, such as stream processing, bulk loading, and in-situ querying of raw data. Yet, the compute-intense step often constitutes a major bottleneck in the data ingestion pipeline, since parsing of inputs that require more involved parsing rules is challenging to parallelise. This work proposes a massively parallel algorithm for parsing delimiter-separated data formats on GPUs. Other than the state-of-the-art, the proposed approach does not require an initial sequential pass over the input to determine a thread's parsing context. That is, how a thread, beginning somewhere in the middle of the input, should interpret a certain symbol (e.g., whether to interpret a comma as a delimiter or as part of a larger string enclosed in double-quotes). Instead of tailoring the approach to a single format, we are able to perform a massively parallel FSM simulation, which is more flexible and powerful, supporting more expressive parsing rules with general applicability. Achieving a parsing rate of as much as 14.2 GB/s, our experimental evaluation on a GPU with 3584 cores shows that the presented approach is able to scale to thousands of cores and beyond. With an end-to-end streaming approach, we are able to exploit the full-duplex capabilities of the PCIe bus and hide latency from data transfers. Considering the end-to-end performance, the algorithm parses 4.8 GB in as little as 0.44 seconds, including data transfers."]], "0_corpus": "arxiv", "1_conv_id": "f4c133383bd5449c9636e530f8d4fdeb", "1_model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "1_prompt": "inpars", "1_output": [["inpars", "Title: Matrix Model Fixed Point of Noncommutative Phi-Four\n\nAbstract: In this article we exhibit explicitly the matrix model ($\\theta=\\infty$) fixed point of phi-four theory on noncommutative spacetime with only two noncommuting directions using the Wilson renormalization group recursion formula and the 1/N expansion of the zero dimensional reduction and then calculate the mass critical exponent $\\nu$ and the anomalous dimension $\\eta$ in various dimensions ."]], "1_corpus": "arxiv"}
 {"tstamp": 1722358165.7939, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "78dfb52f27f64b61929bcde3dcc9504b", "0_model_name": "jinaai/jina-embeddings-v2-base-en", "0_prompt": "inpars", "0_output": [["inpars", "Title: Phonon Assisted Multimagnon Optical Absorption and Long Lived Two-Magnon States in Undoped Lamellar Copper Oxides\n\nAbstract: We calculate the effective charge for multimagnon infrared (IR) absorption assisted by phonons in the parent insulating compounds of cuprate superconductors and the spectra for two-magnon absorption using interacting spin-wave theory. Recent measured bands in the mid IR [Perkins et al. Phys. Rev. Lett. {\\bf 71} 1621 (1993)] are interpreted as involving one phonon plus a two-magnon virtual bound state, and one phonon plus higher multimagnon absorption processes. The virtual bound state consists of a narrow resonance occurring when the magnon pair has total momentum close to $(\\pi,0)$."]], "0_corpus": "arxiv", "1_conv_id": "59aba873f4524f3298bd6dc89efec421", "1_model_name": "BM25", "1_prompt": "inpars", "1_output": [["inpars", "Title: InPars-v2: Large Language Models as Efficient Dataset Generators for Information Retrieval\n\nAbstract: Recently, InPars introduced a method to efficiently use large language models (LLMs) in information retrieval tasks: via few-shot examples, an LLM is induced to generate relevant queries for documents. These synthetic query-document pairs can then be used to train a retriever. However, InPars and, more recently, Promptagator, rely on proprietary LLMs such as GPT-3 and FLAN to generate such datasets. In this work we introduce InPars-v2, a dataset generator that uses open-source LLMs and existing powerful rerankers to select synthetic query-document pairs for training. A simple BM25 retrieval pipeline followed by a monoT5 reranker finetuned on InPars-v2 data achieves new state-of-the-art results on the BEIR benchmark. To allow researchers to further improve our method, we open source the code, synthetic data, and finetuned models: https://github.com/zetaalphavector/inPars/tree/master/tpu"]], "1_corpus": "arxiv"}
 {"tstamp": 1722358254.6555, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "620b3c01c65e40488aebdee13adb9ab4", "0_model_name": "BAAI/bge-large-en-v1.5", "0_prompt": "when does the stock market open pacific time", "0_output": [["when does the stock market open pacific time", "Tokyo Stock Exchange\n\nHours The exchange's normal trading sessions are from 9:00 a.m. to 11:30 a.m. and from 12:30 p.m. to 3:00 p.m. on all days of the week except Saturdays, Sundays and holidays declared by the Exchange in advance. The exchange is closed for the following holidays: New Year's Day, Coming of Age Day, National Foundation Day, Vernal Equinox Day, Shōwa Day, Constitution Memorial Day, Greenery Day, Children's Day, Marine Day, Respect for the Aged Day, Autumnal Equinox, Health and Sports Day, Culture Day, Labour Thanksgiving Day, and The Emperor's Birthday.\nStock market\nFirst, Second and other Sections until April 4, 2022\nUntil April 4, 2022, corporate shares are listed and traded at Tokyo Stock Exchange in five market sections: the First Section which started when Tokyo Stock Exchange was re-established in 1949 and includes mainly large companies; the Second Section which started in 1961 and includes mainly mid-sized companies; JASDAQ (established in 1991, acquired by Osaka Stock Exchange in 2010, and absorbed into TSE in 2013) and Mothers (Market of the high-growth and emerging stocks, established at TSE in 1999) which are both for emerging companies; and TOKYO PRO Market which was established in 2009 jointly with London Stock Exchange as an Alternative Investment Market (Tokyo AIM) for small companies.\nThere were a total of 3,821 companies listed in Tokyo Stock Exchange, as of March 31, 2022.\nPrime, Standard and Growth markets since April 4, 2022"]], "0_corpus": "wikipedia", "1_conv_id": "0d61a1651b204d21ad4de10b5702eaf5", "1_model_name": "GritLM/GritLM-7B", "1_prompt": "when does the stock market open pacific time", "1_output": [["when does the stock market open pacific time", "Philadelphia Stock Exchange\n\nIn March 2020, the PHLX announced plans to temporarily move to all-electronic trading on March 23, 2020, due to the COVID-19 pandemic. Along with the NYSE and the BSE, the PHLX reopened on May 26, 2020.\nLocations\n1790-1834 – Merchants Coffee House (City Tavern), 138 South 2nd Street at Walnut Street\n1834-1876 – Merchants' Exchange Building, 143 South 3rd Streets at Dock Street\n1876-1888 – Girard Bank Building, 120 South 3rd Street, between Walnut and Chestnut Streets\n1888-1902 – Drexel Building, near Chestnut and South 5th Streets\n1902-1912 – Merchants' Exchange Building, 143 South 3rd Streets at Dock Street\n1913-1951 – 1411 Walnut Street, between South Broad and South 15th Streets\n1951-1966 – Central Penn Bank Building, 1401 Walnut Street, between South Broad and South 15th Streets\n1966-1981 – 120 South 17th Street, between Sansom Street and Stock Exchange Place (Ionic Street)\nJan-Feb 1969 – Drecker Building, Bala Cynwyd, Pennsylvania (trading floor only)\n1981-2017 – Market and South 19th Streets\n2017-now – FMC Tower at Cira Centre South, 2929 Walnut Street, between Schuylkill Expressway and South 30th Street\nHours\nThe exchange's normal trading sessions are from 9:30 am to 4:00 pm on all days of the week except Saturdays, Sundays and holidays declared by the exchange in advance."]], "1_corpus": "wikipedia"}
+{"tstamp": 1722358305.208, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "bcf54224c20940c9be3f305f57cbea90", "0_model_name": "GritLM/GritLM-7B", "0_prompt": "how many indian prime ministers were born in independent india", "0_output": [["how many indian prime ministers were born in independent india", "List of prime ministers of India\n\nSince 1947, India has had 14 prime ministers. Jawaharlal Nehru was India's first prime minister, serving as prime minister of the Dominion of India from 15 August 1947 until 26 January 1950, and thereafter of the Republic of India until his death in May 1964. (India conducted its first post-independence general elections in 1952). Earlier, Nehru had served as prime minister of the Interim Government of India during the British Raj from 2 September 1946 until 14 August 1947, his party, the Indian National Congress having won the 1946 Indian provincial elections. Nehru was succeeded by Lal Bahadur Shastri, whose 1 year 7-month term ended in his death in Tashkent, then in the USSR, where he had signed the Tashkent Declaration between India and Pakistan. Indira Gandhi, Nehru's daughter, succeeded Shastri in 1966 to become the country's first female prime minister. Eleven years later, her party the Indian National Congress lost the 1977 Indian general election to the Janata Party, whose leader Morarji Desai became the first non-Congress prime minister. After Desai resigned in 1979, his former associate Charan Singh briefly held office until the Congress won the 1980 Indian general election and Indira Gandhi returned as prime minister. Her second term as prime minister ended five years later on 31 October 1984, when she was assassinated by her bodyguards. Her son Rajiv Gandhi was sworn in as India's youngest premier. Members of NehruGandhi family have been prime minister for approximately 38 years."]], "0_corpus": "wikipedia", "1_conv_id": "b780dab7e4904028b9644772aa8f3c0c", "1_model_name": "text-embedding-004", "1_prompt": "how many indian prime ministers were born in independent india", "1_output": [["how many indian prime ministers were born in independent india", "List of prime ministers of India\n\nSince 1947, India has had 14 prime ministers. Jawaharlal Nehru was India's first prime minister, serving as prime minister of the Dominion of India from 15 August 1947 until 26 January 1950, and thereafter of the Republic of India until his death in May 1964. (India conducted its first post-independence general elections in 1952). Earlier, Nehru had served as prime minister of the Interim Government of India during the British Raj from 2 September 1946 until 14 August 1947, his party, the Indian National Congress having won the 1946 Indian provincial elections. Nehru was succeeded by Lal Bahadur Shastri, whose 1 year 7-month term ended in his death in Tashkent, then in the USSR, where he had signed the Tashkent Declaration between India and Pakistan. Indira Gandhi, Nehru's daughter, succeeded Shastri in 1966 to become the country's first female prime minister. Eleven years later, her party the Indian National Congress lost the 1977 Indian general election to the Janata Party, whose leader Morarji Desai became the first non-Congress prime minister. After Desai resigned in 1979, his former associate Charan Singh briefly held office until the Congress won the 1980 Indian general election and Indira Gandhi returned as prime minister. Her second term as prime minister ended five years later on 31 October 1984, when she was assassinated by her bodyguards. Her son Rajiv Gandhi was sworn in as India's youngest premier. Members of NehruGandhi family have been prime minister for approximately 38 years."]], "1_corpus": "wikipedia"}
+{"tstamp": 1722358344.5843, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "db7e05b430d14921bc34cc60599755eb", "0_model_name": "GritLM/GritLM-7B", "0_prompt": "what is the difference between phd and pdf?", "0_output": [["what is the difference between phd and pdf?", "Math Stackexchange\n\nQ: Difference between a PDF and PMF What is the difference between a probability density function and a probability mass function?\n\nA: One is for discrete variables, the other for continuous.\nThey are also interpreted differently. The PDF is a probability density. If f(x) is a PDF, f(x) doesn't tell you the probability of getting x (In fact, the probability of getting precisely x is 0).\nThe way you use a PDF is through integration. So, the probability of getting a value that is in a dx area around x is approximately f(x)*dx.\n"]], "0_corpus": "stackexchange", "1_conv_id": "0f78bc246a144b02832e702ee547b20a", "1_model_name": "jinaai/jina-embeddings-v2-base-en", "1_prompt": "what is the difference between phd and pdf?", "1_output": [["what is the difference between phd and pdf?", "Stackoverflow Stackexchange\n\nQ: Can't find kubeadm token after initializing master When i run kubeadm init it shows a token that I should use from the other hosts to connect to this host.  Where is that token stored?  I'm trying to figure out more ways to automate this by adding kubeadm inside of Terraform.  \nThanks for any help!\n\nA: \n--token\nBy default, kubeadm init automatically generates the token used to\n  initialise each new node. If you would like to manually specify this\n  token, you can use the --token flag. The token must be of the format\n  ‘<6 character string>.<16 character string>’.\n\nyou can see token value on master node using command:\ncat /etc/kubernetes/pki/tokens.csv\n\n"]], "1_corpus": "stackexchange"}
+{"tstamp": 1722358379.1948, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "fe1ce490872a499fb54784a3637c1683", "0_model_name": "sentence-transformers/all-MiniLM-L6-v2", "0_prompt": "are all achiral molecules meso?", "0_output": [["are all achiral molecules meso?", "Stackoverflow Stackexchange\n\nQ: Test If An NSString Contains a Letter I'm working on an iPhone project and I need to check if the user's input in a UITextfield contains a letter. More generally if an NSString contains a letter.\nI tried this with a giant if loop with the rangeofstring:@\"A\".location == NSNotFound and then did OR rangeofstring:@\"B\".location == NSNotFound\nand so on....\nBut:\n\n\n*\n\n*It doesn't seem to work\n\n*There has to be a simple line of code to check if the NSString contains letters.\n\n\nI have been searching this for hours... Can someone please answer this question???\n\nA: If you want to make sure the text has a certain letter in it (as opposed to just ANY letter),  use the rangeOfString: message. For example, to ensure the text contains the letter \"Q\":\nNSString *string = @\"poQduu\";\n\n\nif  ([string rangeOfString:@\"Q\"].location != NSNotFound) {\n    DLog (@\"Yes, we have a Q at location %i\", [string rangeOfString:@\"Q\"].location );\n}\n\nAs others (Rob Napier) note, if you want to find ANY letter, use the rangeOfCharacterFromSet: message.\nif ([string rangeOfCharacterFromSet:[NSCharacterSet letterCharacterSet]].location != NSNotFound) ...\n\n"]], "0_corpus": "stackexchange", "1_conv_id": "8090cc0cc0b946bc8818f151b0cfcdfd", "1_model_name": "mixedbread-ai/mxbai-embed-large-v1", "1_prompt": "are all achiral molecules meso?", "1_output": [["are all achiral molecules meso?", "Physics Stackexchange\n\nQ: Why can a solution show optical rotation? Why can a solution show optical rotation? A solution, as a liquid, is rotationally isotropic, right? So, even if the molecules are chiral, because of the random orientation of the molecules, shouldn't the effect cancel out?  \n\nA: Your claim:\nSo, even if the molecules are chiral, because of the random orientation of the molecules, should not the effect cancel out?\nis not correct.\nOne should think in a way that molecules have different dispersion for left and right circularly polarized light. Hence one of the circular polarization will be retarded with respect to another which will result in rotated linear polarization.\nIf molecules also have different absorption the exiting light will be elliptic\nEDIT:\nTo visualize the effect take a spring and rotate it - you will see - no matter from which side you look it will be still left (or right), in a sense of clock or -counterclockwise rotation of the spring.\nThus if you have only left springs - you will have more retardation for the left light.\n"]], "1_corpus": "stackexchange"}

data/retrieval_individual-dd51f1d2-bf9d-4e42-9a72-5b30dd2bd338.jsonl

@@ -43,3 +43,9 @@
 {"tstamp": 1722358196.1882, "task_type": "retrieval", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722358195.9486, "finish": 1722358196.1882, "ip": "", "conv_id": "0d61a1651b204d21ad4de10b5702eaf5", "model_name": "GritLM/GritLM-7B", "prompt": "when does the stock market open pacific time", "output": [["when does the stock market open pacific time", "Philadelphia Stock Exchange\n\nIn March 2020, the PHLX announced plans to temporarily move to all-electronic trading on March 23, 2020, due to the COVID-19 pandemic. Along with the NYSE and the BSE, the PHLX reopened on May 26, 2020.\nLocations\n1790-1834 – Merchants Coffee House (City Tavern), 138 South 2nd Street at Walnut Street\n1834-1876 – Merchants' Exchange Building, 143 South 3rd Streets at Dock Street\n1876-1888 – Girard Bank Building, 120 South 3rd Street, between Walnut and Chestnut Streets\n1888-1902 – Drexel Building, near Chestnut and South 5th Streets\n1902-1912 – Merchants' Exchange Building, 143 South 3rd Streets at Dock Street\n1913-1951 – 1411 Walnut Street, between South Broad and South 15th Streets\n1951-1966 – Central Penn Bank Building, 1401 Walnut Street, between South Broad and South 15th Streets\n1966-1981 – 120 South 17th Street, between Sansom Street and Stock Exchange Place (Ionic Street)\nJan-Feb 1969 – Drecker Building, Bala Cynwyd, Pennsylvania (trading floor only)\n1981-2017 – Market and South 19th Streets\n2017-now – FMC Tower at Cira Centre South, 2929 Walnut Street, between Schuylkill Expressway and South 30th Street\nHours\nThe exchange's normal trading sessions are from 9:30 am to 4:00 pm on all days of the week except Saturdays, Sundays and holidays declared by the exchange in advance."]], "corpus": "wikipedia"}
 {"tstamp": 1722358255.9393, "task_type": "retrieval", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1722358255.3124, "finish": 1722358255.9393, "ip": "", "conv_id": "03dd0aa3bdf54262bdffef0f851db34b", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": "Research on combining sentiment analysis and market data for volatility forecasting.", "output": [["Research on combining sentiment analysis and market data for volatility forecasting.", "Title: Solitons, Surfaces, Curves, and the Spin Description of Nonlinear Evolution Equations\n\nAbstract: The briefly review on the common spin description of the nonlinear evolution equations."]], "corpus": "arxiv"}
 {"tstamp": 1722358255.9393, "task_type": "retrieval", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1722358255.3124, "finish": 1722358255.9393, "ip": "", "conv_id": "bd60351f21534ac9acfcf7ee77f8eba3", "model_name": "text-embedding-004", "prompt": "Research on combining sentiment analysis and market data for volatility forecasting.", "output": [["Research on combining sentiment analysis and market data for volatility forecasting.", "Title: A Sentiment Analysis Approach to the Prediction of Market Volatility\n\nAbstract: Prediction and quantification of future volatility and returns play an important role in financial modelling, both in portfolio optimization and risk management. Natural language processing today allows to process news and social media comments to detect signals of investors' confidence. We have explored the relationship between sentiment extracted from financial news and tweets and FTSE100 movements. We investigated the strength of the correlation between sentiment measures on a given day and market volatility and returns observed the next day. The findings suggest that there is evidence of correlation between sentiment and stock market movements: the sentiment captured from news headlines could be used as a signal to predict market returns; the same does not apply for volatility. Also, in a surprising finding, for the sentiment found in Twitter comments we obtained a correlation coefficient of -0.7, and p-value below 0.05, which indicates a strong negative correlation between positive sentiment captured from the tweets on a given day and the volatility observed the next day. We developed an accurate classifier for the prediction of market volatility in response to the arrival of new information by deploying topic modelling, based on Latent Dirichlet Allocation, to extract feature vectors from a collection of tweets and financial news. The obtained features were used as additional input to the classifier. Thanks to the combination of sentiment and topic modelling our classifier achieved a directional prediction accuracy for volatility of 63%."]], "corpus": "arxiv"}
+{"tstamp": 1722358294.222, "task_type": "retrieval", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722358293.5447, "finish": 1722358294.222, "ip": "", "conv_id": "bcf54224c20940c9be3f305f57cbea90", "model_name": "GritLM/GritLM-7B", "prompt": "how many indian prime ministers were born in independent india", "output": [["how many indian prime ministers were born in independent india", "List of prime ministers of India\n\nSince 1947, India has had 14 prime ministers. Jawaharlal Nehru was India's first prime minister, serving as prime minister of the Dominion of India from 15 August 1947 until 26 January 1950, and thereafter of the Republic of India until his death in May 1964. (India conducted its first post-independence general elections in 1952). Earlier, Nehru had served as prime minister of the Interim Government of India during the British Raj from 2 September 1946 until 14 August 1947, his party, the Indian National Congress having won the 1946 Indian provincial elections. Nehru was succeeded by Lal Bahadur Shastri, whose 1 year 7-month term ended in his death in Tashkent, then in the USSR, where he had signed the Tashkent Declaration between India and Pakistan. Indira Gandhi, Nehru's daughter, succeeded Shastri in 1966 to become the country's first female prime minister. Eleven years later, her party the Indian National Congress lost the 1977 Indian general election to the Janata Party, whose leader Morarji Desai became the first non-Congress prime minister. After Desai resigned in 1979, his former associate Charan Singh briefly held office until the Congress won the 1980 Indian general election and Indira Gandhi returned as prime minister. Her second term as prime minister ended five years later on 31 October 1984, when she was assassinated by her bodyguards. Her son Rajiv Gandhi was sworn in as India's youngest premier. Members of NehruGandhi family have been prime minister for approximately 38 years."]], "corpus": "wikipedia"}
+{"tstamp": 1722358294.222, "task_type": "retrieval", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1722358293.5447, "finish": 1722358294.222, "ip": "", "conv_id": "b780dab7e4904028b9644772aa8f3c0c", "model_name": "text-embedding-004", "prompt": "how many indian prime ministers were born in independent india", "output": [["how many indian prime ministers were born in independent india", "List of prime ministers of India\n\nSince 1947, India has had 14 prime ministers. Jawaharlal Nehru was India's first prime minister, serving as prime minister of the Dominion of India from 15 August 1947 until 26 January 1950, and thereafter of the Republic of India until his death in May 1964. (India conducted its first post-independence general elections in 1952). Earlier, Nehru had served as prime minister of the Interim Government of India during the British Raj from 2 September 1946 until 14 August 1947, his party, the Indian National Congress having won the 1946 Indian provincial elections. Nehru was succeeded by Lal Bahadur Shastri, whose 1 year 7-month term ended in his death in Tashkent, then in the USSR, where he had signed the Tashkent Declaration between India and Pakistan. Indira Gandhi, Nehru's daughter, succeeded Shastri in 1966 to become the country's first female prime minister. Eleven years later, her party the Indian National Congress lost the 1977 Indian general election to the Janata Party, whose leader Morarji Desai became the first non-Congress prime minister. After Desai resigned in 1979, his former associate Charan Singh briefly held office until the Congress won the 1980 Indian general election and Indira Gandhi returned as prime minister. Her second term as prime minister ended five years later on 31 October 1984, when she was assassinated by her bodyguards. Her son Rajiv Gandhi was sworn in as India's youngest premier. Members of NehruGandhi family have been prime minister for approximately 38 years."]], "corpus": "wikipedia"}
+{"tstamp": 1722358315.7904, "task_type": "retrieval", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722358315.4761, "finish": 1722358315.7904, "ip": "", "conv_id": "db7e05b430d14921bc34cc60599755eb", "model_name": "GritLM/GritLM-7B", "prompt": "what is the difference between phd and pdf?", "output": [["what is the difference between phd and pdf?", "Math Stackexchange\n\nQ: Difference between a PDF and PMF What is the difference between a probability density function and a probability mass function?\n\nA: One is for discrete variables, the other for continuous.\nThey are also interpreted differently. The PDF is a probability density. If f(x) is a PDF, f(x) doesn't tell you the probability of getting x (In fact, the probability of getting precisely x is 0).\nThe way you use a PDF is through integration. So, the probability of getting a value that is in a dx area around x is approximately f(x)*dx.\n"]], "corpus": "stackexchange"}
+{"tstamp": 1722358315.7904, "task_type": "retrieval", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1722358315.4761, "finish": 1722358315.7904, "ip": "", "conv_id": "0f78bc246a144b02832e702ee547b20a", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": "what is the difference between phd and pdf?", "output": [["what is the difference between phd and pdf?", "Stackoverflow Stackexchange\n\nQ: Can't find kubeadm token after initializing master When i run kubeadm init it shows a token that I should use from the other hosts to connect to this host.  Where is that token stored?  I'm trying to figure out more ways to automate this by adding kubeadm inside of Terraform.  \nThanks for any help!\n\nA: \n--token\nBy default, kubeadm init automatically generates the token used to\n  initialise each new node. If you would like to manually specify this\n  token, you can use the --token flag. The token must be of the format\n  ‘<6 character string>.<16 character string>’.\n\nyou can see token value on master node using command:\ncat /etc/kubernetes/pki/tokens.csv\n\n"]], "corpus": "stackexchange"}
+{"tstamp": 1722358353.9148, "task_type": "retrieval", "type": "chat", "model": "sentence-transformers/all-MiniLM-L6-v2", "gen_params": {}, "start": 1722358353.7508, "finish": 1722358353.9148, "ip": "", "conv_id": "fe1ce490872a499fb54784a3637c1683", "model_name": "sentence-transformers/all-MiniLM-L6-v2", "prompt": "are all achiral molecules meso?", "output": [["are all achiral molecules meso?", "Stackoverflow Stackexchange\n\nQ: Test If An NSString Contains a Letter I'm working on an iPhone project and I need to check if the user's input in a UITextfield contains a letter. More generally if an NSString contains a letter.\nI tried this with a giant if loop with the rangeofstring:@\"A\".location == NSNotFound and then did OR rangeofstring:@\"B\".location == NSNotFound\nand so on....\nBut:\n\n\n*\n\n*It doesn't seem to work\n\n*There has to be a simple line of code to check if the NSString contains letters.\n\n\nI have been searching this for hours... Can someone please answer this question???\n\nA: If you want to make sure the text has a certain letter in it (as opposed to just ANY letter),  use the rangeOfString: message. For example, to ensure the text contains the letter \"Q\":\nNSString *string = @\"poQduu\";\n\n\nif  ([string rangeOfString:@\"Q\"].location != NSNotFound) {\n    DLog (@\"Yes, we have a Q at location %i\", [string rangeOfString:@\"Q\"].location );\n}\n\nAs others (Rob Napier) note, if you want to find ANY letter, use the rangeOfCharacterFromSet: message.\nif ([string rangeOfCharacterFromSet:[NSCharacterSet letterCharacterSet]].location != NSNotFound) ...\n\n"]], "corpus": "stackexchange"}
+{"tstamp": 1722358353.9148, "task_type": "retrieval", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1722358353.7508, "finish": 1722358353.9148, "ip": "", "conv_id": "8090cc0cc0b946bc8818f151b0cfcdfd", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "prompt": "are all achiral molecules meso?", "output": [["are all achiral molecules meso?", "Physics Stackexchange\n\nQ: Why can a solution show optical rotation? Why can a solution show optical rotation? A solution, as a liquid, is rotationally isotropic, right? So, even if the molecules are chiral, because of the random orientation of the molecules, shouldn't the effect cancel out?  \n\nA: Your claim:\nSo, even if the molecules are chiral, because of the random orientation of the molecules, should not the effect cancel out?\nis not correct.\nOne should think in a way that molecules have different dispersion for left and right circularly polarized light. Hence one of the circular polarization will be retarded with respect to another which will result in rotated linear polarization.\nIf molecules also have different absorption the exiting light will be elliptic\nEDIT:\nTo visualize the effect take a spring and rotate it - you will see - no matter from which side you look it will be still left (or right), in a sense of clock or -counterclockwise rotation of the spring.\nThus if you have only left springs - you will have more retardation for the left light.\n"]], "corpus": "stackexchange"}