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

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 {"tstamp": 1725147647.8378, "task_type": "retrieval", "type": "chat", "model": "voyage-multilingual-2", "gen_params": {}, "start": 1725147647.3824, "finish": 1725147647.8378, "ip": "", "conv_id": "d48919d79e0b4c64a2479fa20075f57d", "model_name": "voyage-multilingual-2", "prompt": "when was you'll never walk alone first released", "output": [["when was you'll never walk alone first released", "You'll Never Walk Alone\n\nOn March 13, 2016, after Borussia Dortmund's 2–0 win against 1. FSV Mainz 05 in the German Bundesliga, supporters of both teams performed the song to commemorate a Dortmund fan who died from a cardiac arrest in the stands during the game.\nThe Crowd version\nA special recording of the song was made in solidarity with Bradford City following the Valley Parade fire in 1985 when 56 spectators died and many more were seriously injured. The song was performed by charity supergroup the Crowd, which featured Gerry Marsden, Paul McCartney and others, and spent two weeks at number one in the UK and Ireland in June 1985.\nCharts\nWeekly charts\nGerry & the Pacemakers\nPatti LaBelle & the Bluebells\nThe Lettermen\nElvis Presley\nBrooklyn Bridge\nBlue Haze\nThe Crowd\nYear-end charts\nCertifications\nGerry & The Pacemakers\nThe Crowd\nMarcus Mumford version\nMarcus Mumford, lead singer of the British folk rock band Mumford & Sons, released a cover version of \"You'll Never Walk Alone\" as a single on March 20, 2020, through Glassnote Records. Mumford's version was originally recorded for the Apple TV+ sports comedy-drama Ted Lasso; it appears in the first-season finale, \"The Hope That Kills You.\" Proceeds from the single release were donated to the Grenfell Foundation and War Child UK.\nCharts\nMichael Ball and Captain Tom Moore version"]], "corpus": "wikipedia"}
 {"tstamp": 1725183507.9196, "task_type": "retrieval", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1725183507.132, "finish": 1725183507.9196, "ip": "", "conv_id": "f8f3af2fe05f44d4986e26c260a5f31d", "model_name": "text-embedding-004", "prompt": "diamond planet", "output": [["diamond planet", "Diamond\n\nDouble diamonds In rare cases, diamonds have been found that contain a cavity within which is a second diamond. The first double diamond, the Matryoshka, was found by Alrosa in Yakutia, Russia, in 2019. Another one was found in the Ellendale Diamond Field in Western Australia in 2021.\nIn space\nAlthough diamonds on Earth are rare, they are very common in space. In meteorites, about three percent of the carbon is in the form of nanodiamonds, having diameters of a few nanometers. Sufficiently small diamonds can form in the cold of space because their lower surface energy makes them more stable than graphite. The isotopic signatures of some nanodiamonds indicate they were formed outside the Solar System in stars.\nHigh pressure experiments predict that large quantities of diamonds condense from methane into a \"diamond rain\" on the ice giant planets Uranus and Neptune. Some extrasolar planets may be almost entirely composed of diamond.\nDiamonds may exist in carbon-rich stars, particularly white dwarfs. One theory for the origin of carbonado, the toughest form of diamond, is that it originated in a white dwarf or supernova. Diamonds formed in stars may have been the first minerals.\nIndustry\nThe most familiar uses of diamonds today are as gemstones used for adornment, and as industrial abrasives for cutting hard materials. The markets for gem-grade and industrial-grade diamonds value diamonds differently."]], "corpus": "wikipedia"}
 {"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"}