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data/retrieval_individual-c3c39103-a49b-43a8-a2e7-1945260f7f05.jsonl

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 {"tstamp": 1725183531.9904, "task_type": "retrieval", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1725183531.7286, "finish": 1725183531.9904, "ip": "", "conv_id": "f6a636a27e4649d482c26d93a43f7f18", "model_name": "text-embedding-004", "prompt": "training a dog to do stuff", "output": [["training a dog to do stuff", "Dog training\n\nDog training is a kind of animal training, the application of behavior analysis which uses the environmental events of antecedents (trigger for a behavior) and consequences to modify the dog behavior, either for it to assist in specific activities or undertake particular tasks, or for it to participate effectively in contemporary domestic life. While training dogs for specific roles dates back to Roman times at least, the training of dogs to be compatible household pets developed with suburbanization in the 1950s.\nA dog learns from interactions it has with its environment. This can be through classical conditioning, where it forms an association between two stimuli; non-associative learning, where its behavior is modified through habituation or sensitisation; and operant conditioning, where it forms an association between an antecedent and its consequence.\nMost working dogs are now trained using reward-based methods, sometimes referred to as positive reinforcement training. Other reward-based training methods include clicker training, model-rival training, and relationship-based training."]], "corpus": "wikipedia"}
 {"tstamp": 1725184369.2962, "task_type": "retrieval", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1725184369.0454, "finish": 1725184369.2962, "ip": "", "conv_id": "a4b7795089c44de28f8c3db04ee9534b", "model_name": "Salesforce/SFR-Embedding-2_R", "prompt": "What is the future price prediction of Nvidia ", "output": [["What is the future price prediction of Nvidia ", "Stackoverflow Stackexchange\n\nQ: What CUDA GPU should I buy? I am new to CUDA and going to buy a GPU that will be sufficient for my needs without spending much. I will be working on an application that will require graphics rendering as well as other general purpose computations.\nWhat should be my primary consideration while buying ? \n\n\n*\n\n*No. of SMs\n\n*No. of CUDA Cores\n\n*Core/Shader/Memory Clock \n\n*Memory Size\n\n*Memory Bus width\n\n\nHow do the above mentioned specifications affect CUDA performance?\n"]], "corpus": "stackexchange"}
 {"tstamp": 1725184369.2962, "task_type": "retrieval", "type": "chat", "model": "nomic-ai/nomic-embed-text-v1.5", "gen_params": {}, "start": 1725184369.0454, "finish": 1725184369.2962, "ip": "", "conv_id": "966993a12c7d46178ef2e7714ebaf1e5", "model_name": "nomic-ai/nomic-embed-text-v1.5", "prompt": "What is the future price prediction of Nvidia ", "output": [["What is the future price prediction of Nvidia ", "Gaming Stackexchange\n\nQ: What games did NVIDIA come through on regarding RTX and DLSS? In 2018 NVIDIA released its RTX 2000-series cards. A huge part of this release was an emphasis on some fundamental new features that games would support in the future. A list can be seen here of these promises; particularly of note would be RTX (ray-tracing) support and DLSS (a new type of anti-aliasing) support. I know for a fact that some of these games never came through (like PUBG)... but which of these games successfully implemented these technologies as of January 2020?\n\nA: Games that currently support:\nDeep Learning Super-Sampling AND RTX ray tracing:\n\n*\n\n*Metro Exodus 1\n\n*Battlefield V 1.\n\n*Shadow of the Tomb Raider 3\n\n*Wolfenstein: Youngblood 4\n\n*Control 8\nDLSS only:\n\n*\n\n*Anthem 5\n\n*Final Fantasy XV (Windows Edition) 6\n\n*Monster Hunter: World 2\nRTX ray tracing only:\n\n*\n\n*Call of Duty: Modern Warfare 7\n\n*Quake II RTX 9\n\n*Stay in the Light 10\nBoth features are also supported by the Port Royal 3DMark benchmark 11.\n"]], "corpus": "stackexchange"}
+{"tstamp": 1725190639.7632, "task_type": "retrieval", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1725190639.3969, "finish": 1725190639.7632, "ip": "", "conv_id": "c1e236499d70440397f51ce6251e8f5d", "model_name": "text-embedding-004", "prompt": "kocka", "output": [["kocka", "Cockta\n\nMany older Slovenes still remember the posters which swept the entire country as part of the original Cockta marketing campaign: they featured a suntanned young woman, with a hairstyle considered trendy at the time, in a ponytail, with blue eyes, holding in her hands a bottle of the new beverage. The sports event at Planica where Cockta was launched was the earliest form of sports sponsorship in Slovenia.\nIn 2006, Cockta sponsored the MaxCards World Championships, held in Ljubljana.\nIn 2013 a survey conducted by Valicon placed Cockta 6th in a list of the top 25 strongest brands in Slovenia. Brand strength was calculated based on brand awareness, experience and usage.\nIn 2019, \"Cockta free\" came onto the market, with this variant containing no added sugar. Cockta is available in 275ml glass bottles, 330ml cans, 0.5 liter and 1.5 liter plastic bottles. Cockta free is available in 275ml glass bottles, 330ml cans, 0.5 liter and 1.5 liter plastic bottles.\nIn 2023, Cockta's version of an orangeade launched, called \"Cockta Blondie\".\nSlogans\n1980 -  (The Drink Of Your Youth and Ours)\n1983 -  (Still the Best)\n2001 -  (You Never Forget Your First one)\n2002 -  (I Miss Cockta; homophone: phonetically read as \"How Much I Miss You\" when translated)\n2005 -  (You Eat MaxCards, You Sleep MaxCards, You Drink Cockta!)\n(No Caffeine - No Sour Taste-No Kidding!)\n2012 -  (Freshen [your] life)\n2018 -  (Cockta Forever)"]], "corpus": "wikipedia"}
+{"tstamp": 1725190703.3464, "task_type": "retrieval", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1725190703.0781, "finish": 1725190703.3464, "ip": "", "conv_id": "99ab0deffddc41e6b774d44e204e4dd3", "model_name": "text-embedding-004", "prompt": "Roll forming, also spelled roll-forming or rollforming, is a type of rolling involving the continuous bending of a long strip of sheet metal (typically coiled steel) into a desired cross-section. The strip passes through sets of rolls mounted on consecutive stands, each set performing only an incremental part of the bend, until the desired cross-section (profile) is obtained. Roll forming is ideal for producing constant-profile parts with long lengths and in large quantities.", "output": [["Roll forming, also spelled roll-forming or rollforming, is a type of rolling involving the continuous bending of a long strip of sheet metal (typically coiled steel) into a desired cross-section. The strip passes through sets of rolls mounted on consecutive stands, each set performing only an incremental part of the bend, until the desired cross-section (profile) is obtained. Roll forming is ideal for producing constant-profile parts with long lengths and in large quantities.", "Sheet metal\n\nRoll forming A continuous bending operation for producing open profiles or welded tubes with long lengths or in large quantities.\nRolling\nRolling is metal working or metal forming process. In this method, stock passes through one or more pair of rolls to reduce thickness. It is used to make thickness uniform. It is classified according to its temperature of rolling:\nHot rolling: in this temperature is above recrystallisation temperature.\nCold rolling: In this temperature is below recrystallisation temperature.\nWarm rolling: In this temperature is used is in between Hot rolling and cold rolling.\nSpinning\nSpinning is used to make tubular (axis-symmetric) parts by fixing a piece of sheet stock to a rotating form (mandrel). Rollers or rigid tools press the stock against the form, stretching it until the stock takes the shape of the form. Spinning is used to make rocket motor casings, missile nose cones, satellite dishes and metal kitchen funnels.\nStamping\nStamping includes a variety of operations such as punching, blanking, embossing, bending, flanging, and coining; simple or complex shapes can be formed at high production rates; tooling and equipment costs can be high, but labor costs are low.\nAlternatively, the related techniques repoussé and chasing have low tooling and equipment costs, but high labor costs."]], "corpus": "wikipedia"}
+{"tstamp": 1725190724.8471, "task_type": "retrieval", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1725190724.5733, "finish": 1725190724.8471, "ip": "", "conv_id": "b31fa0ba7e3d4da9bf18b4597c67f036", "model_name": "text-embedding-004", "prompt": "python", "output": [["python", "Python (programming language)\n\nPython is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation.\nPython is dynamically typed and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional programming. It is often described as a \"batteries included\" language due to its comprehensive standard library.\nGuido van Rossum began working on Python in the late 1980s as a successor to the ABC programming language and first released it in 1991 as Python 0.9.0. Python 2.0 was released in 2000. Python 3.0, released in 2008, was a major revision not completely backward-compatible with earlier versions. Python 2.7.18, released in 2020, was the last release of Python 2.\nPython consistently ranks as one of the most popular programming languages, and has gained widespread use in the machine learning community."]], "corpus": "wikipedia"}
+{"tstamp": 1725190749.7356, "task_type": "retrieval", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1725190749.4786, "finish": 1725190749.7356, "ip": "", "conv_id": "f27b11ca685b4df28c8d7c03de535bbb", "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"}

data/sts_individual-c3c39103-a49b-43a8-a2e7-1945260f7f05.jsonl

@@ -0,0 +1 @@
+{"tstamp": 1725190593.8516, "task_type": "sts", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1725190589.3508, "finish": 1725190593.8516, "ip": "", "conv_id": "31cc6ed0e2bf48c6af1a5af2ad5d4917", "model_name": "text-embedding-004", "txt0": "Incoming strays increased by 19 percent over the last three years and is expected to continue to climb.", "txt1": "The last three years saw a 19 percent increased in incoming strays.", "txt2": "Recent years have seen a reduction in the number of incoming strays.", "output": ""}