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data/retrieval_battle-76c7b5f4-5fbc-4311-bf05-8defcdc1ba4e.jsonl
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{"tstamp": 1723013779.4566, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "1127f56afb0e43d29f687575f13c7628", "0_model_name": "mixedbread-ai/mxbai-embed-large-v1", "0_prompt": "What are the rules of race walking?", "0_output": [["What are the rules of race walking?", "Racewalking\n\nRules There are only two rules that govern race walking. The first dictates that the athlete's back toe cannot leave the ground until the heel of the front foot has touched. Violation of this rule is known as loss of contact. The second rule requires that the supporting leg must straighten from the point of contact with the ground and remain straightened until the body passes directly over it. These rules are judged by the unaided human eye. Athletes regularly lose contact for a few milliseconds per stride, which can be caught on film, but such a short flight phase is said to be undetectable to the human eye.\nAthletes stay low to the ground by keeping their arms pumping low, close to their hips. If one sees a racewalker's shoulders rising, it may be a sign that the athlete is losing contact with the ground. What appears to be an exaggerated swivel to the hip is, in fact, a full rotation of the pelvis. Athletes aim to move the pelvis forward and to minimize sideways motion in order to achieve maximum forward propulsion. Speed is achieved by stepping quickly with the aim of rapid turnover. This minimizes the risk of the feet leaving the ground. Strides are short and quick, with pushoff coming forward from the ball of the foot, again to minimize the risk of losing contact with the ground. World-class race walkers (male and female) can average under 4 and 5 minutes per kilometre in a 20 km race walk (12 to 15 kilometers per hour or 7.5 to 9 miles per hour)."]], "0_corpus": "wikipedia", "1_conv_id": "859b8a339e30475594614432b3f65df5", "1_model_name": "intfloat/multilingual-e5-large-instruct", "1_prompt": "What are the rules of race walking?", "1_output": [["What are the rules of race walking?", "Racewalking\n\nRules There are only two rules that govern race walking. The first dictates that the athlete's back toe cannot leave the ground until the heel of the front foot has touched. Violation of this rule is known as loss of contact. The second rule requires that the supporting leg must straighten from the point of contact with the ground and remain straightened until the body passes directly over it. These rules are judged by the unaided human eye. Athletes regularly lose contact for a few milliseconds per stride, which can be caught on film, but such a short flight phase is said to be undetectable to the human eye.\nAthletes stay low to the ground by keeping their arms pumping low, close to their hips. If one sees a racewalker's shoulders rising, it may be a sign that the athlete is losing contact with the ground. What appears to be an exaggerated swivel to the hip is, in fact, a full rotation of the pelvis. Athletes aim to move the pelvis forward and to minimize sideways motion in order to achieve maximum forward propulsion. Speed is achieved by stepping quickly with the aim of rapid turnover. This minimizes the risk of the feet leaving the ground. Strides are short and quick, with pushoff coming forward from the ball of the foot, again to minimize the risk of losing contact with the ground. World-class race walkers (male and female) can average under 4 and 5 minutes per kilometre in a 20 km race walk (12 to 15 kilometers per hour or 7.5 to 9 miles per hour)."]], "1_corpus": "wikipedia"}
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{"tstamp": 1723013882.3361, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "17d54e3cbf9a44e69a1ce6b0a8285f76", "0_model_name": "intfloat/e5-mistral-7b-instruct", "0_prompt": "How do I solve a 3x3x3 Rubik's cube?", "0_output": [["How do I solve a 3x3x3 Rubik's cube?", "Rubik's Cube\n\nIn 2008, Tomas Rokicki lowered that number to 22 moves, and in July 2010, a team of researchers including Rokicki, working with computers provided by Google, proved that the so-called \"God's number\" for Rubik's Cube is 20. This means that all initial configurations can be solved in 20 moves or less, and some (in fact millions) require 20. More generally, it has been shown that an n×n×n Rubik's Cube can be solved optimally in Θ(n2 / log(n)) moves.\nSpeedcubing methods\nA solution commonly used by speedcubers was developed by Jessica Fridrich. This method is called CFOP standing for \"Cross, F2L, OLL, PLL\". It is similar to the layer-by-layer method but employs the use of a large number of algorithms, especially for orienting and permuting the last layer. The cross is solved first, followed by first layer corners and second layer edges simultaneously, with each corner paired up with a second-layer edge piece, thus completing the first two layers (F2L). This is then followed by orienting the last layer, then permuting the last layer (OLL and PLL respectively). There are a total of 120 algorithms for Fridrich's method, however they are not all required to use the CFOP method. Most dedicated cubers will learn as many of these algorithms as possible, and most advanced cubers know all of them. If a cuber knows every algorithm for OLL they may be described as knowing full OLL. It is the same for PLL and F2L."]], "0_corpus": "wikipedia", "1_conv_id": "9dc8cdcae3f048c9aaa6eebdd9694e1c", "1_model_name": "text-embedding-3-large", "1_prompt": "How do I solve a 3x3x3 Rubik's cube?", "1_output": [["How do I solve a 3x3x3 Rubik's cube?", "Rubik's Cube\n\nA now well-known method was developed by Lars Petrus. In this method, a 2×2×2 section is solved first, followed by a 2×2×3, and then the incorrect edges are solved using a three-move algorithm, which eliminates the need for a possible 32-move algorithm later. The principle behind this is that in layer-by-layer, one must constantly break and fix the completed layer(s); the 2×2×2 and 2×2×3 sections allow three or two layers (respectively) to be turned without ruining progress. One of the advantages of this method is that it tends to give solutions in fewer moves. For this reason, the method is also popular for fewest move competitions.\nThe Roux Method, developed by Gilles Roux, is similar to the Petrus method in that it relies on block building rather than layers, but derives from corners-first methods. In Roux, a 3×2×1 block is solved, followed by another 3×2×1 on the opposite side. Next, the corners of the top layer are solved. The cube can then be solved using only moves of the U layer and M slice.\nBeginners' methods\nMost beginner solution methods involve solving the cube one layer at a time (\"layer-by-layer\" method or \"beginner's method\"), using algorithms that preserve what has already been solved. The easiest layer by layer methods require only 3–8 algorithms."]], "1_corpus": "wikipedia"}
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{"tstamp": 1723013937.9741, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "09af207047f040d3a6f5eecc97de3538", "0_model_name": "voyage-multilingual-2", "0_prompt": "How do I solve a 3x3x3 Rubik's cube?", "0_output": [["How do I solve a 3x3x3 Rubik's cube?", "Math Stackexchange\n\nQ: Can you compute the state of a 3x3x3 Rubik's cube if you only see three adjacent faces? I've learned from How many colors of a Rubik's Cube must be known to locate all? that you need to know a minimum of 17 stickers (spread across all its faces) for a 3x3x3 cube in order to compute its state, but if we just see three full adjacent faces and all the 27 stickers on those faces, can we always compute the cube state considering that the cube is always solvable?\n\nA: No. To expand on @aschepler's excellent answer, consider\n$$\nF'L'(R^2URUR'U'R'U'R'UR')LF\n$$\n(the sequence in the parenthesis is just a standard edge switch).\nWhat you should have at the end of this algorithm is a cube that you can view from one angle that looks completely solved, but it isn't.\n"]], "0_corpus": "stackexchange", "1_conv_id": "a397380963724fc587797870c0fbe369", "1_model_name": "nomic-ai/nomic-embed-text-v1.5", "1_prompt": "How do I solve a 3x3x3 Rubik's cube?", "1_output": [["How do I solve a 3x3x3 Rubik's cube?", "Math Stackexchange\n\nQ: Can you compute the state of a 3x3x3 Rubik's cube if you only see three adjacent faces? I've learned from How many colors of a Rubik's Cube must be known to locate all? that you need to know a minimum of 17 stickers (spread across all its faces) for a 3x3x3 cube in order to compute its state, but if we just see three full adjacent faces and all the 27 stickers on those faces, can we always compute the cube state considering that the cube is always solvable?\n\nA: No. To expand on @aschepler's excellent answer, consider\n$$\nF'L'(R^2URUR'U'R'U'R'UR')LF\n$$\n(the sequence in the parenthesis is just a standard edge switch).\nWhat you should have at the end of this algorithm is a cube that you can view from one angle that looks completely solved, but it isn't.\n"]], "1_corpus": "stackexchange"}
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{"tstamp": 1723013779.4566, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "1127f56afb0e43d29f687575f13c7628", "0_model_name": "mixedbread-ai/mxbai-embed-large-v1", "0_prompt": "What are the rules of race walking?", "0_output": [["What are the rules of race walking?", "Racewalking\n\nRules There are only two rules that govern race walking. The first dictates that the athlete's back toe cannot leave the ground until the heel of the front foot has touched. Violation of this rule is known as loss of contact. The second rule requires that the supporting leg must straighten from the point of contact with the ground and remain straightened until the body passes directly over it. These rules are judged by the unaided human eye. Athletes regularly lose contact for a few milliseconds per stride, which can be caught on film, but such a short flight phase is said to be undetectable to the human eye.\nAthletes stay low to the ground by keeping their arms pumping low, close to their hips. If one sees a racewalker's shoulders rising, it may be a sign that the athlete is losing contact with the ground. What appears to be an exaggerated swivel to the hip is, in fact, a full rotation of the pelvis. Athletes aim to move the pelvis forward and to minimize sideways motion in order to achieve maximum forward propulsion. Speed is achieved by stepping quickly with the aim of rapid turnover. This minimizes the risk of the feet leaving the ground. Strides are short and quick, with pushoff coming forward from the ball of the foot, again to minimize the risk of losing contact with the ground. World-class race walkers (male and female) can average under 4 and 5 minutes per kilometre in a 20 km race walk (12 to 15 kilometers per hour or 7.5 to 9 miles per hour)."]], "0_corpus": "wikipedia", "1_conv_id": "859b8a339e30475594614432b3f65df5", "1_model_name": "intfloat/multilingual-e5-large-instruct", "1_prompt": "What are the rules of race walking?", "1_output": [["What are the rules of race walking?", "Racewalking\n\nRules There are only two rules that govern race walking. The first dictates that the athlete's back toe cannot leave the ground until the heel of the front foot has touched. Violation of this rule is known as loss of contact. The second rule requires that the supporting leg must straighten from the point of contact with the ground and remain straightened until the body passes directly over it. These rules are judged by the unaided human eye. Athletes regularly lose contact for a few milliseconds per stride, which can be caught on film, but such a short flight phase is said to be undetectable to the human eye.\nAthletes stay low to the ground by keeping their arms pumping low, close to their hips. If one sees a racewalker's shoulders rising, it may be a sign that the athlete is losing contact with the ground. What appears to be an exaggerated swivel to the hip is, in fact, a full rotation of the pelvis. Athletes aim to move the pelvis forward and to minimize sideways motion in order to achieve maximum forward propulsion. Speed is achieved by stepping quickly with the aim of rapid turnover. This minimizes the risk of the feet leaving the ground. Strides are short and quick, with pushoff coming forward from the ball of the foot, again to minimize the risk of losing contact with the ground. World-class race walkers (male and female) can average under 4 and 5 minutes per kilometre in a 20 km race walk (12 to 15 kilometers per hour or 7.5 to 9 miles per hour)."]], "1_corpus": "wikipedia"}
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{"tstamp": 1723013882.3361, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "17d54e3cbf9a44e69a1ce6b0a8285f76", "0_model_name": "intfloat/e5-mistral-7b-instruct", "0_prompt": "How do I solve a 3x3x3 Rubik's cube?", "0_output": [["How do I solve a 3x3x3 Rubik's cube?", "Rubik's Cube\n\nIn 2008, Tomas Rokicki lowered that number to 22 moves, and in July 2010, a team of researchers including Rokicki, working with computers provided by Google, proved that the so-called \"God's number\" for Rubik's Cube is 20. This means that all initial configurations can be solved in 20 moves or less, and some (in fact millions) require 20. More generally, it has been shown that an n×n×n Rubik's Cube can be solved optimally in Θ(n2 / log(n)) moves.\nSpeedcubing methods\nA solution commonly used by speedcubers was developed by Jessica Fridrich. This method is called CFOP standing for \"Cross, F2L, OLL, PLL\". It is similar to the layer-by-layer method but employs the use of a large number of algorithms, especially for orienting and permuting the last layer. The cross is solved first, followed by first layer corners and second layer edges simultaneously, with each corner paired up with a second-layer edge piece, thus completing the first two layers (F2L). This is then followed by orienting the last layer, then permuting the last layer (OLL and PLL respectively). There are a total of 120 algorithms for Fridrich's method, however they are not all required to use the CFOP method. Most dedicated cubers will learn as many of these algorithms as possible, and most advanced cubers know all of them. If a cuber knows every algorithm for OLL they may be described as knowing full OLL. It is the same for PLL and F2L."]], "0_corpus": "wikipedia", "1_conv_id": "9dc8cdcae3f048c9aaa6eebdd9694e1c", "1_model_name": "text-embedding-3-large", "1_prompt": "How do I solve a 3x3x3 Rubik's cube?", "1_output": [["How do I solve a 3x3x3 Rubik's cube?", "Rubik's Cube\n\nA now well-known method was developed by Lars Petrus. In this method, a 2×2×2 section is solved first, followed by a 2×2×3, and then the incorrect edges are solved using a three-move algorithm, which eliminates the need for a possible 32-move algorithm later. The principle behind this is that in layer-by-layer, one must constantly break and fix the completed layer(s); the 2×2×2 and 2×2×3 sections allow three or two layers (respectively) to be turned without ruining progress. One of the advantages of this method is that it tends to give solutions in fewer moves. For this reason, the method is also popular for fewest move competitions.\nThe Roux Method, developed by Gilles Roux, is similar to the Petrus method in that it relies on block building rather than layers, but derives from corners-first methods. In Roux, a 3×2×1 block is solved, followed by another 3×2×1 on the opposite side. Next, the corners of the top layer are solved. The cube can then be solved using only moves of the U layer and M slice.\nBeginners' methods\nMost beginner solution methods involve solving the cube one layer at a time (\"layer-by-layer\" method or \"beginner's method\"), using algorithms that preserve what has already been solved. The easiest layer by layer methods require only 3–8 algorithms."]], "1_corpus": "wikipedia"}
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{"tstamp": 1723013937.9741, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "09af207047f040d3a6f5eecc97de3538", "0_model_name": "voyage-multilingual-2", "0_prompt": "How do I solve a 3x3x3 Rubik's cube?", "0_output": [["How do I solve a 3x3x3 Rubik's cube?", "Math Stackexchange\n\nQ: Can you compute the state of a 3x3x3 Rubik's cube if you only see three adjacent faces? I've learned from How many colors of a Rubik's Cube must be known to locate all? that you need to know a minimum of 17 stickers (spread across all its faces) for a 3x3x3 cube in order to compute its state, but if we just see three full adjacent faces and all the 27 stickers on those faces, can we always compute the cube state considering that the cube is always solvable?\n\nA: No. To expand on @aschepler's excellent answer, consider\n$$\nF'L'(R^2URUR'U'R'U'R'UR')LF\n$$\n(the sequence in the parenthesis is just a standard edge switch).\nWhat you should have at the end of this algorithm is a cube that you can view from one angle that looks completely solved, but it isn't.\n"]], "0_corpus": "stackexchange", "1_conv_id": "a397380963724fc587797870c0fbe369", "1_model_name": "nomic-ai/nomic-embed-text-v1.5", "1_prompt": "How do I solve a 3x3x3 Rubik's cube?", "1_output": [["How do I solve a 3x3x3 Rubik's cube?", "Math Stackexchange\n\nQ: Can you compute the state of a 3x3x3 Rubik's cube if you only see three adjacent faces? I've learned from How many colors of a Rubik's Cube must be known to locate all? that you need to know a minimum of 17 stickers (spread across all its faces) for a 3x3x3 cube in order to compute its state, but if we just see three full adjacent faces and all the 27 stickers on those faces, can we always compute the cube state considering that the cube is always solvable?\n\nA: No. To expand on @aschepler's excellent answer, consider\n$$\nF'L'(R^2URUR'U'R'U'R'UR')LF\n$$\n(the sequence in the parenthesis is just a standard edge switch).\nWhat you should have at the end of this algorithm is a cube that you can view from one angle that looks completely solved, but it isn't.\n"]], "1_corpus": "stackexchange"}
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{"tstamp": 1723016074.8836, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "5b2dfe67d0ba445286e5d44bd675f57f", "0_model_name": "text-embedding-3-large", "0_prompt": "Who was John Paul II?", "0_output": [["Who was John Paul II?", "Pope John Paul II\n\nIn his youth, Wojtyła dabbled in stage acting. He graduated with excellent grades from an all-boys high school in Wadowice, Poland, in 1938, soon after which World War II broke out. During the war, to avoid being kidnapped and sent off to a German forced labour camp, he signed up for work in harsh conditions in a quarry. Wojtyła eventually took up acting and developed a love for the profession and participated at a local theatre. The linguistically skilled Wojtyła wanted to study Polish at university. Encouraged by a conversation with Adam Stefan Sapieha, he decided to study theology and become a priest. Eventually, Wojtyła rose to the position of Archbishop of Kraków and then a cardinal, both positions held by his mentor. Wojtyła was elected pope on the third day of the second papal conclave of 1978, and became one of the youngest popes in history. The conclave was called after the death of John Paul I, who served only 33 days as pope. John Paul I had been elected in an August papal conclave to succeed Pope Paul VI. Wojtyła adopted the name of his predecessor in tribute to him.\nJohn Paul II was the first non-Italian pope since Adrian VI in the 16th century, as well as the third-longest-serving pope in history after Pius IX and St. Peter. John Paul II attempted to improve the Catholic Church's relations with Judaism, Islam, and the Eastern Orthodox Church in the spirit of ecumenism, holding atheism as the greatest threat. He maintained the Church's previous positions on such matters as abortion, artificial contraception, the ordination of women, and a celibate clergy, and although he supported the reforms of the Second Vatican Council, he was seen as generally conservative in their interpretation. He put emphasis on family and identity, while questioning consumerism, hedonism and the pursuit of wealth. He was one of the most travelled world leaders in history, visiting 129 countries during his pontificate. As part of his special emphasis on the universal call to holiness, John Paul II beatified 1,344 people, and canonised 483 saints, more than the combined tally of his predecessors during the preceding five centuries. By the time of his death, he had named most of the College of Cardinals, consecrated or co-consecrated many of the world's bishops, and ordained many priests."]], "0_corpus": "wikipedia", "1_conv_id": "af1bca1ac45c42eba76432da1b2898fa", "1_model_name": "jinaai/jina-embeddings-v2-base-en", "1_prompt": "Who was John Paul II?", "1_output": [["Who was John Paul II?", "John II of France\n\nThe following year, on 10 September 1355 John and Charles signed the Treaty of Valognes, but this second peace lasted hardly any longer than the first, culminating in a highly dramatic event where, during a banquet on 5 April 1356 at the Royal Castle in Rouen attended by the King's son Charles, Charles II of Navarre, and a number of Norman magnates and notables of the French king burst through the door in full armor, swords in hand, along with his entourage, which included the king's brother Phillip, younger son Louis and cousins, as well as over a hundred fully armed knights waiting outside. John lunged over and grabbed Charles of Navarre shouting, \"let no one move if he does not want to be dead with this sword.\" With John's son, Dauphin Charles, the banquet host, on his knees pleading for him to stop, the King grabbed Navarre by the throat and pulled him out of his chair yelling in his face, \"Traitor, you are not worthy to sit at my son's table!\" He then ordered the arrests of all the guests including Navarre and, in what many considered to be a rash move as well as a political mistake, he had John, the Count of Harcourt and several other Norman lords and notables summarily executed later that night in a yard nearby while he stood watching."]], "1_corpus": "wikipedia"}
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data/retrieval_individual-76c7b5f4-5fbc-4311-bf05-8defcdc1ba4e.jsonl
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{"tstamp": 1723014983.5091, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1723014981.384, "finish": 1723014983.5091, "ip": "", "conv_id": "ab57ba3036a04a6b9e8c6196f436f849", "model_name": "BAAI/bge-large-en-v1.5", "prompt": "Please review this as a test", "output": [["Please review this as a test", "Title: Searching publications on software testing\n\nAbstract: This note concerns a search for publications in which the pragmatic concept of a test as conducted in the practice of software testing is formalized, a theory about software testing based on such a formalization is presented or it is demonstrated on the basis of such a theory that there are solid grounds to test software in cases where in principle other forms of analysis could be used. This note reports on the way in which the search has been carried out and the main outcomes of the search. The message of the note is that the fundamentals of software testing are not yet complete in some respects."]], "corpus": "arxiv"}
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{"tstamp": 1723015055.1262, "task_type": "retrieval", "type": "chat", "model": "voyage-multilingual-2", "gen_params": {}, "start": 1723015053.0061, "finish": 1723015055.1262, "ip": "", "conv_id": "11214242c8574540955c3a781929000b", "model_name": "voyage-multilingual-2", "prompt": "Please find me newest papers on agentic frameworks", "output": [["Please find me newest papers on agentic frameworks", "Title: Agent-based computing from multi-agent systems to agent-based Models: a visual survey\n\nAbstract: Agent-Based Computing is a diverse research domain concerned with the building of intelligent software based on the concept of \"agents\". In this paper, we use Scientometric analysis to analyze all sub-domains of agent-based computing. Our data consists of 1,064 journal articles indexed in the ISI web of knowledge published during a twenty year period: 1990-2010. These were retrieved using a topic search with various keywords commonly used in sub-domains of agent-based computing. In our proposed approach, we have employed a combination of two applications for analysis, namely Network Workbench and CiteSpace - wherein Network Workbench allowed for the analysis of complex network aspects of the domain, detailed visualization-based analysis of the bibliographic data was performed using CiteSpace. Our results include the identification of the largest cluster based on keywords, the timeline of publication of index terms, the core journals and key subject categories. We also identify the core authors, top countries of origin of the manuscripts along with core research institutes. Finally, our results have interestingly revealed the strong presence of agent-based computing in a number of non-computing related scientific domains including Life Sciences, Ecological Sciences and Social Sciences."]], "corpus": "arxiv"}
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{"tstamp": 1723015055.1262, "task_type": "retrieval", "type": "chat", "model": "sentence-transformers/all-MiniLM-L6-v2", "gen_params": {}, "start": 1723015053.0061, "finish": 1723015055.1262, "ip": "", "conv_id": "f20d2bd2a0cb458db92c2af60e3b5ea9", "model_name": "sentence-transformers/all-MiniLM-L6-v2", "prompt": "Please find me newest papers on agentic frameworks", "output": [["Please find me newest papers on agentic frameworks", "Title: Analytic Deep Learning-based Surrogate Model for Operational Planning with Dynamic TTC Constraints\n\nAbstract: The increased penetration of wind power introduces more operational changes of critical corridors and the traditional time-consuming transient stability constrained total transfer capability (TTC) operational planning is unable to meet the real-time monitoring need. This paper develops a more computationally efficient approach to address that challenge via the analytical deep learning-based surrogate model. The key idea is to resort to the deep learning for developing a computationally cheap surrogate model to replace the original time-consuming differential-algebraic constraints related to TTC. However, the deep learning-based surrogate model introduces implicit rules that are difficult to handle in the optimization process. To this end, we derive the Jacobian and Hessian matrices of the implicit surrogate models and finally transfer them into an analytical formulation that can be easily solved by the interior point method. Surrogate modeling and problem reformulation allow us to achieve significantly improved computational efficiency and the yielded solutions can be used for operational planning. Numerical results carried out on the modified IEEE 39-bus system demonstrate the effectiveness of the proposed method in dealing with com-plicated TTC constraints while balancing the computational efficiency and accuracy."]], "corpus": "arxiv"}
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{"tstamp": 1723014983.5091, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1723014981.384, "finish": 1723014983.5091, "ip": "", "conv_id": "ab57ba3036a04a6b9e8c6196f436f849", "model_name": "BAAI/bge-large-en-v1.5", "prompt": "Please review this as a test", "output": [["Please review this as a test", "Title: Searching publications on software testing\n\nAbstract: This note concerns a search for publications in which the pragmatic concept of a test as conducted in the practice of software testing is formalized, a theory about software testing based on such a formalization is presented or it is demonstrated on the basis of such a theory that there are solid grounds to test software in cases where in principle other forms of analysis could be used. This note reports on the way in which the search has been carried out and the main outcomes of the search. The message of the note is that the fundamentals of software testing are not yet complete in some respects."]], "corpus": "arxiv"}
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{"tstamp": 1723015055.1262, "task_type": "retrieval", "type": "chat", "model": "voyage-multilingual-2", "gen_params": {}, "start": 1723015053.0061, "finish": 1723015055.1262, "ip": "", "conv_id": "11214242c8574540955c3a781929000b", "model_name": "voyage-multilingual-2", "prompt": "Please find me newest papers on agentic frameworks", "output": [["Please find me newest papers on agentic frameworks", "Title: Agent-based computing from multi-agent systems to agent-based Models: a visual survey\n\nAbstract: Agent-Based Computing is a diverse research domain concerned with the building of intelligent software based on the concept of \"agents\". In this paper, we use Scientometric analysis to analyze all sub-domains of agent-based computing. Our data consists of 1,064 journal articles indexed in the ISI web of knowledge published during a twenty year period: 1990-2010. These were retrieved using a topic search with various keywords commonly used in sub-domains of agent-based computing. In our proposed approach, we have employed a combination of two applications for analysis, namely Network Workbench and CiteSpace - wherein Network Workbench allowed for the analysis of complex network aspects of the domain, detailed visualization-based analysis of the bibliographic data was performed using CiteSpace. Our results include the identification of the largest cluster based on keywords, the timeline of publication of index terms, the core journals and key subject categories. We also identify the core authors, top countries of origin of the manuscripts along with core research institutes. Finally, our results have interestingly revealed the strong presence of agent-based computing in a number of non-computing related scientific domains including Life Sciences, Ecological Sciences and Social Sciences."]], "corpus": "arxiv"}
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{"tstamp": 1723015055.1262, "task_type": "retrieval", "type": "chat", "model": "sentence-transformers/all-MiniLM-L6-v2", "gen_params": {}, "start": 1723015053.0061, "finish": 1723015055.1262, "ip": "", "conv_id": "f20d2bd2a0cb458db92c2af60e3b5ea9", "model_name": "sentence-transformers/all-MiniLM-L6-v2", "prompt": "Please find me newest papers on agentic frameworks", "output": [["Please find me newest papers on agentic frameworks", "Title: Analytic Deep Learning-based Surrogate Model for Operational Planning with Dynamic TTC Constraints\n\nAbstract: The increased penetration of wind power introduces more operational changes of critical corridors and the traditional time-consuming transient stability constrained total transfer capability (TTC) operational planning is unable to meet the real-time monitoring need. This paper develops a more computationally efficient approach to address that challenge via the analytical deep learning-based surrogate model. The key idea is to resort to the deep learning for developing a computationally cheap surrogate model to replace the original time-consuming differential-algebraic constraints related to TTC. However, the deep learning-based surrogate model introduces implicit rules that are difficult to handle in the optimization process. To this end, we derive the Jacobian and Hessian matrices of the implicit surrogate models and finally transfer them into an analytical formulation that can be easily solved by the interior point method. Surrogate modeling and problem reformulation allow us to achieve significantly improved computational efficiency and the yielded solutions can be used for operational planning. Numerical results carried out on the modified IEEE 39-bus system demonstrate the effectiveness of the proposed method in dealing with com-plicated TTC constraints while balancing the computational efficiency and accuracy."]], "corpus": "arxiv"}
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{"tstamp": 1723016031.0412, "task_type": "retrieval", "type": "chat", "model": "text-embedding-3-large", "gen_params": {}, "start": 1723016028.4314, "finish": 1723016031.0412, "ip": "", "conv_id": "5b2dfe67d0ba445286e5d44bd675f57f", "model_name": "text-embedding-3-large", "prompt": "Who was John Paul II?", "output": [["Who was John Paul II?", "Pope John Paul II\n\nIn his youth, Wojtyła dabbled in stage acting. He graduated with excellent grades from an all-boys high school in Wadowice, Poland, in 1938, soon after which World War II broke out. During the war, to avoid being kidnapped and sent off to a German forced labour camp, he signed up for work in harsh conditions in a quarry. Wojtyła eventually took up acting and developed a love for the profession and participated at a local theatre. The linguistically skilled Wojtyła wanted to study Polish at university. Encouraged by a conversation with Adam Stefan Sapieha, he decided to study theology and become a priest. Eventually, Wojtyła rose to the position of Archbishop of Kraków and then a cardinal, both positions held by his mentor. Wojtyła was elected pope on the third day of the second papal conclave of 1978, and became one of the youngest popes in history. The conclave was called after the death of John Paul I, who served only 33 days as pope. John Paul I had been elected in an August papal conclave to succeed Pope Paul VI. Wojtyła adopted the name of his predecessor in tribute to him.\nJohn Paul II was the first non-Italian pope since Adrian VI in the 16th century, as well as the third-longest-serving pope in history after Pius IX and St. Peter. John Paul II attempted to improve the Catholic Church's relations with Judaism, Islam, and the Eastern Orthodox Church in the spirit of ecumenism, holding atheism as the greatest threat. He maintained the Church's previous positions on such matters as abortion, artificial contraception, the ordination of women, and a celibate clergy, and although he supported the reforms of the Second Vatican Council, he was seen as generally conservative in their interpretation. He put emphasis on family and identity, while questioning consumerism, hedonism and the pursuit of wealth. He was one of the most travelled world leaders in history, visiting 129 countries during his pontificate. As part of his special emphasis on the universal call to holiness, John Paul II beatified 1,344 people, and canonised 483 saints, more than the combined tally of his predecessors during the preceding five centuries. By the time of his death, he had named most of the College of Cardinals, consecrated or co-consecrated many of the world's bishops, and ordained many priests."]], "corpus": "wikipedia"}
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{"tstamp": 1723016031.0412, "task_type": "retrieval", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1723016028.4314, "finish": 1723016031.0412, "ip": "", "conv_id": "af1bca1ac45c42eba76432da1b2898fa", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": "Who was John Paul II?", "output": [["Who was John Paul II?", "John II of France\n\nThe following year, on 10 September 1355 John and Charles signed the Treaty of Valognes, but this second peace lasted hardly any longer than the first, culminating in a highly dramatic event where, during a banquet on 5 April 1356 at the Royal Castle in Rouen attended by the King's son Charles, Charles II of Navarre, and a number of Norman magnates and notables of the French king burst through the door in full armor, swords in hand, along with his entourage, which included the king's brother Phillip, younger son Louis and cousins, as well as over a hundred fully armed knights waiting outside. John lunged over and grabbed Charles of Navarre shouting, \"let no one move if he does not want to be dead with this sword.\" With John's son, Dauphin Charles, the banquet host, on his knees pleading for him to stop, the King grabbed Navarre by the throat and pulled him out of his chair yelling in his face, \"Traitor, you are not worthy to sit at my son's table!\" He then ordered the arrests of all the guests including Navarre and, in what many considered to be a rash move as well as a political mistake, he had John, the Count of Harcourt and several other Norman lords and notables summarily executed later that night in a yard nearby while he stood watching."]], "corpus": "wikipedia"}
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{"tstamp": 1723016228.4154, "task_type": "retrieval", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1723016227.8871, "finish": 1723016228.4154, "ip": "", "conv_id": "7fd3c4100be34b22829a18f3f3a40c13", "model_name": "text-embedding-004", "prompt": "Which test was devised to determine whether robots can think?", "output": [["Which test was devised to determine whether robots can think?", "Turing test\n\nThe Turing test, originally called the imitation game by Alan Turing in 1950, is a test of a machine's ability to exhibit intelligent behaviour equivalent to, or indistinguishable from, that of a human. Turing proposed that a human evaluator would judge natural language conversations between a human and a machine designed to generate human-like responses. The evaluator would be aware that one of the two partners in conversation was a machine, and all participants would be separated from one another. The conversation would be limited to a text-only channel, such as a computer keyboard and screen, so the result would not depend on the machine's ability to render words as speech. If the evaluator could not reliably tell the machine from the human, the machine would be said to have passed the test. The test results would not depend on the machine's ability to give correct answers to questions, only on how closely its answers resembled those a human would give. Since the Turing test is a test of indistinguishability in performance capacity, the verbal version generalizes naturally to all of human performance capacity, verbal as well as nonverbal (robotic)."]], "corpus": "wikipedia"}
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{"tstamp": 1723016228.4154, "task_type": "retrieval", "type": "chat", "model": "text-embedding-3-large", "gen_params": {}, "start": 1723016227.8871, "finish": 1723016228.4154, "ip": "", "conv_id": "0c1af03f7cb24c33974a68157f3ce2b8", "model_name": "text-embedding-3-large", "prompt": "Which test was devised to determine whether robots can think?", "output": [["Which test was devised to determine whether robots can think?", "Turing test\n\nThe test was introduced by Turing in his 1950 paper \"Computing Machinery and Intelligence\" while working at the University of Manchester. It opens with the words: \"I propose to consider the question, 'Can machines think? Because \"thinking\" is difficult to define, Turing chooses to \"replace the question by another, which is closely related to it and is expressed in relatively unambiguous words.\" Turing describes the new form of the problem in terms of a three-person game called the \"imitation game\", in which an interrogator asks questions of a man and a woman in another room in order to determine the correct sex of the two players. Turing's new question is: \"Are there imaginable digital computers which would do well in the imitation game?\" This question, Turing believed, was one that could actually be answered. In the remainder of the paper, he argued against all the major objections to the proposition that \"machines can think\".\nSince Turing introduced his test, it has been both highly influential and widely criticized, and has become an important concept in the philosophy of artificial intelligence. Philosopher John Searle would comment on the Turing test in his Chinese room argument, a thought experiment that stipulates that a machine cannot have a \"mind\", \"understanding\", or \"consciousness\", regardless of how intelligently or human-like the program may make the computer behave. Searle criticizes Turing's test and claims it is insufficient to detect the presence of consciousness.\nHistory"]], "corpus": "wikipedia"}
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data/sts_individual-76c7b5f4-5fbc-4311-bf05-8defcdc1ba4e.jsonl
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{"tstamp": 1722928263.3663, "task_type": "sts", "type": "chat", "model": "text-embedding-3-large", "gen_params": {}, "start": 1722928262.9486, "finish": 1722928263.3663, "ip": "", "conv_id": "cde1bc0fff494889836f584349d4194b", "model_name": "text-embedding-3-large", "txt0": " a man with a dog", "txt1": "a man without a dog", "txt2": "a man with a cat", "output": ""}
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{"tstamp": 1722979696.3066, "task_type": "sts", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1722979696.0313, "finish": 1722979696.3066, "ip": "", "conv_id": "235c18aa891840c1bc401a8dd38bc3c3", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "txt0": "People are standing next to a chain link fence.", "txt1": "The people are siting down.", "txt2": "The people are outside.", "output": ""}
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{"tstamp": 1722979696.3066, "task_type": "sts", "type": "chat", "model": "embed-english-v3.0", "gen_params": {}, "start": 1722979696.0313, "finish": 1722979696.3066, "ip": "", "conv_id": "7a0aed7ef0b1486887e4327b5aa281d4", "model_name": "embed-english-v3.0", "txt0": "People are standing next to a chain link fence.", "txt1": "The people are siting down.", "txt2": "The people are outside.", "output": ""}
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{"tstamp": 1722928263.3663, "task_type": "sts", "type": "chat", "model": "text-embedding-3-large", "gen_params": {}, "start": 1722928262.9486, "finish": 1722928263.3663, "ip": "", "conv_id": "cde1bc0fff494889836f584349d4194b", "model_name": "text-embedding-3-large", "txt0": " a man with a dog", "txt1": "a man without a dog", "txt2": "a man with a cat", "output": ""}
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{"tstamp": 1722979696.3066, "task_type": "sts", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1722979696.0313, "finish": 1722979696.3066, "ip": "", "conv_id": "235c18aa891840c1bc401a8dd38bc3c3", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "txt0": "People are standing next to a chain link fence.", "txt1": "The people are siting down.", "txt2": "The people are outside.", "output": ""}
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{"tstamp": 1722979696.3066, "task_type": "sts", "type": "chat", "model": "embed-english-v3.0", "gen_params": {}, "start": 1722979696.0313, "finish": 1722979696.3066, "ip": "", "conv_id": "7a0aed7ef0b1486887e4327b5aa281d4", "model_name": "embed-english-v3.0", "txt0": "People are standing next to a chain link fence.", "txt1": "The people are siting down.", "txt2": "The people are outside.", "output": ""}
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{"tstamp": 1723016147.8876, "task_type": "sts", "type": "chat", "model": "intfloat/multilingual-e5-large-instruct", "gen_params": {}, "start": 1723016147.1732, "finish": 1723016147.8876, "ip": "", "conv_id": "ff762a9010d945a080e435e91dd29e41", "model_name": "intfloat/multilingual-e5-large-instruct", "txt0": "She saw a bright star in the sky.", "txt1": "She saw a bright star at the awards show.", "txt2": "She observed a luminous celestial object.", "output": ""}
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{"tstamp": 1723016147.8876, "task_type": "sts", "type": "chat", "model": "text-embedding-3-large", "gen_params": {}, "start": 1723016147.1732, "finish": 1723016147.8876, "ip": "", "conv_id": "86f9f271de9042d9baccf799d6f885e1", "model_name": "text-embedding-3-large", "txt0": "She saw a bright star in the sky.", "txt1": "She saw a bright star at the awards show.", "txt2": "She observed a luminous celestial object.", "output": ""}
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