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{"text": "The sky turns to a different shade of blue\nAfter the rain\nMy mind turns to a different point of view\nAfter the rain\nOooh... my mind\nOooh... my mind\nOooh... my mind\nI know...\nLike the ocean needs the moon to take the tides away\nAll we needs a little time to chase the blues away\nSun is out and it feels like its always gonna stay\nLet this last forever\nTurn tomorrow into yesterday\nNow all those clouds have nothing left to do\nAfter the rain\nAnd all those doubts have drifted out of view\nAfter the rain\nOooh... my mind\nOooh... my mind\nOooh... my mind\nI know...\nLike the ocean needs the moon to take the tides away\nAll we needs a little time to chase the blues away\nSun is out and it feels like its always gonna stay\nLet this last forever\nTurn tomorrow into yesterday\nLike the ocean needs the moon to take the tides away\nAll we needs a little time to chase the blues away\nSun is out and it feels like its always gonna stay\nLet this last forever\nTurn tomorrow into yesterday\nInto yesterday"}
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{"text": "Get up! Get up! Get up! \nGet up! Get up! Get up! \nShe sings these words to me\nShe sings these words to me\nI look at you, and try to do, the best I can\nBut sometimes, it aint that easy\nIf not today, she said, then tell me when\nI think I tried to say Im sorry\nThen she said these words of reverence\nPlease dont leave me hanging on and on\nI see the light in your window\nLook at the sky and we can go away\nGet up! Get up! Get up! And Im gonna\nPick you up and take you where I wanna\nGet up! Get up! Get up! And Im gonna\nPick you up and take you where I wanna\nLa la la la la la\nShe sings these words to me\nShe sings these words to me\nBaby\nThe summer sun, is warm and you, are everywhere\nBut sometimes, it aint that easy\nI count the days till I see you again\nYou know I tried and I am sorry\nOne night can make a difference\nPlease dont leave me hanging on and on\nI see the light in your window\nLook at the sky and we can go away\nGet up! Get up! Get up! And Im gonna\nPick you up and take you where I wanna\nGet up! Get up! Get up! And Im gonna\nPick you up and take you where I wanna\nLa la la la la la\nShe sings these words to me\nShe sings these words to me\nBaby\nAnd I dont mind the waiting\nWhen she sings these words to me\nI see the light in your window\nLook at the sky and we can go\nLook at the sky and we can go\nAway\nShe says these words\nLa la la la la la\nShe says these words\nCome away with me tonight\nShe says these words\nLa la la la la la\nShe says these words\nCome away with me tonight\nGet up! Get up! Get up! And Im gonna\nPick you up and take you where I wanna\nGet up! Get up! Get up! \nGet up! Get up! Get up! And Im gonna\nPick you up and take you where I wanna\nGet up! Get up! Get up!\nLa la la la la la\nCome on away with me tonight\nLa la la la la la"}
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{"text": "Up on a hill\nAs the day dissolves\nWith my pencil turning moments into life\nOne by one, all the stars appear\nAs the great winds of the planet spiral in\nSpinning away, like the night sky\nIn the million insect storm, the constellations form\nOn a hill, under a raven sky\nI have no idea exactly where Ive been\nSome kind of change, some kind of spinning away\nWith every single line moving further out in time\nSpinning away, like the night sky\nI have no idea exactly where Ive been\nAnd here, or there\nAnd here, or there\nSome kind of spinning away\nAnd here, or there\nAnd here, or there\nAnd here, or there\nAnd here, or there\nAnd here, or there\nAnd here, or there"}
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{"text": "She falls apart by herself\nNo ones there to talk or understand\nFeels the sting, dries her eyes\nFinds herself opens the door and sighs\nPeople see right through you\nEveryone who knew you well\nFalls apart, might as well\nDay is long and nothing is wasted\nRunaway, runaway\nWanna hold on to you but youre going away\nRunaway, runaway\nWanna hold you tomorrow but youre leaving today\nYou walk along by yourself\nTheres no sound nothings changing\nTheyve gone away left you there\nEmptiness is nothing you can share\nAll those words that hurt you\nMore than you will let it show\nComes apart by yourself\nAll is well and everythings wasted\nRunaway, runaway\nWanna hold on to you but youre going away\nRunaway, runaway\nWanna hold you tomorrow but youre leaving today\nSometimes I feel around\nIt scares me some I cant be down\nAll this time to be on my own\nIn is out to be again\nThis time will waste another friend\nI know where they will know\nWhere theyll runaway\nShes falls apart no one there\nHold her hand it seems to disappear\nFalls apart might as well\nDay is long and nothing is wasted\nRunaway, runaway\nWanna hold on to you but youre going away\nRunaway, runaway\nWanna hold you tomorrow but youre leaving today\nRunaway runaway\nHold on to you but youre going away\nBut youre leaving today\nBut youre leaving today"}
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{"text": "The only good thing thats creeping in this city\nElvis had a 55, this one is mine\nJapanese cars, man, such a pity\nA.M. Radio suits me fine\nMean Machine\nMean Machine\nMean machine\nMean machine\nBrakes good, Tires fair\nEvery now and then I drive just to get away\nIm eatin up the lanes, I gotta find Sugar Ray\nCant stop now give me all your money\nSometimes I drive slow, sometimes I drive quick\nMean machine\nMean machine\nMean Machine\nMean Machine\nDont you dare mess with my mean machine\nIts long and slick and olive green\nDont you dare mess with my mean machine\nIts long and slick and olive green\nDont you dare mess with my mean machine\nIts long and slick and olive green\nA 68 coupe is all I need\nSo dont you dare mess with my mean machine\nJesus saves, no, he shoots and scores\nIm with stupid, caught my finger in the door\nIm wookin pa nub, like Revenge Of The Nerds\nBut my Ass its a play on words\nMean Machine\nMean Machine\nMean Machine\nMean Machine\n\nDont you dare mess with my Mean Machine\nIts long and slick and olive green\nDont you dare mess with my Mean Machine\nIts long and slick and olive green\nDont you dare mess with my Mean Machine\nIts long and slick and olive green\nA 68 coupe is all I need\nSo dont you dare mess with my Mean Machine\nDONT FUCK WITH IT!"}
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{"text": "Q:\n\nHow to save a bitmap image as JPEG\n\nThe problem is that the file is not saving as JPEG. Just a normal file.\nThis is my code so far:\nprivate void btnSave_Click(object sender, EventArgs e)\n{\n saveDialog.FileName = txtModelName.Text;\n\n if (saveDialog.ShowDialog() == DialogResult.OK)\n {\n Bitmap bmp = new Bitmap(pnlDraw.Width, pnlDraw.Height);\n\n pnlDraw.DrawToBitmap(bmp, new Rectangle(0, 0,\n pnlDraw.Width, pnlDraw.Height));\n\n bmp.Save(saveDialog.FileName, System.Drawing.Imaging.ImageFormat.Jpeg);\n }\n}\n\nA:\n\nHow about checking if file name has .jpg extension before saving it?\nYou can also change saveDialog to only allow user selecting .jpg images.\nprivate void btnSave_Click(object sender, EventArgs e)\n{\n saveDialog.FileName = txtModelName.Text;\n saveDialog.DefaultExt = \"jpg\";\n saveDialog.Filter = \"JPG images (*.jpg)|*.jpg\"; \n\n if (saveDialog.ShowDialog() == DialogResult.OK)\n {\n Bitmap bmp = new Bitmap(pnlDraw.Width, pnlDraw.Height);\n\n pnlDraw.DrawToBitmap(bmp, new Rectangle(0, 0,\n pnlDraw.Width, pnlDraw.Height));\n\n var fileName = saveDialog.FileName;\n if(!System.IO.Path.HasExtension(fileName) || System.IO.Path.GetExtension(fileName) != \"jpg\")\n fileName = fileName + \".jpg\";\n\n bmp.Save(fileName, System.Drawing.Imaging.ImageFormat.Jpeg);\n }\n}\n\n", "meta": {"pile_set_name": "StackExchange"}, "score": 0.11805698, "span_scores": [{"begin": 0, "end": 39, "score": 0.07332173}, {"begin": 39, "end": 92, "score": 0.06976894}, {"begin": 92, "end": 112, "score": 0.059725337}, {"begin": 112, "end": 136, "score": 0.05987651}, {"begin": 136, "end": 191, "score": 0.1615008}, {"begin": 191, "end": 238, "score": 0.107007146}, {"begin": 238, "end": 291, "score": 0.12959935}, {"begin": 291, "end": 297, "score": 0.036860257}, {"begin": 297, "end": 361, "score": 0.18461843}, {"begin": 361, "end": 1380, "score": 0.15039133}]}
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{"text": "The treatment of fibers, fabrics and laundry with conditioning agents, such as fabric softeners, anti-wrinkling agents, antistatic compounds and other preparations designed to improve the properties of the treated material is a well-known operation. It is practiced most by the housewife who adds fabric softening solution in the final rinse cycle of an automatic washing machine. The substantive cationic softening agent usually employed strongly adheres to the laundered textiles and remains thereon during subsequent spin drying and heat drying. Of course, such processes require that the conditioning agents employed be highly substantive or else they will be removed with the rinse water, yielding insufficient softening activities.\nIn efforts to find other ways of depositing softening agents on the surfaces of fibers and fabrics, pressurized sprays have been applied to the articles to be treated either before or after drying. Even when the sprays are of very fine droplets of a solution of conditioning agent it is a tedious task to apply the spray evenly to all the articles being treated. When the spraying apparatus is included as an integral part of a drying apparatus, such as an automatic laundry dryer, the costs of the spraying apparatus, control means for it and installations of these are often so great as to make such a treatment uneconomical. Instead of using a spray, solid conditioning agents, absorbed onto or impregnated into flexible papers, cloths or sponges have been employed in the dryer. U.S. Pat. No. 3,442,692 teaches that substantive cationic conditioning compounds vaporize into the moist atmosphere of the dryer and are sorbed by the materials being tumbled therein. Although it is considered that many useful cationic conditioning agents are of such high boiling points that they are incapable of vaporizing under ordinary drying conditions, U.S. Pat. No. 3,442,692 is cited as an example of another way to use conditioning agents in the automatic laundry dryer.\nAlthough the disadvantages of conventional softening methods, utilizing the washing machine, and more recently developed treating operations, using the automatic laundry dryer, are known, before the present invention there was no acceptable simple and economical way to apply liquid conditioning agent to fabrics to be softened or to be made antistatic in the automatic laundry dryer. Now, by following the method of this invention, good conditioning may be obtained economically and conveniently and without the necessity for the installation of complex equipment.", "meta": {"pile_set_name": "USPTO Backgrounds"}, "score": 0.05860528, "span_scores": [{"begin": 0, "end": 250, "score": 0.0059507554}, {"begin": 250, "end": 381, "score": 0.05408483}, {"begin": 381, "end": 549, "score": 0.00056950154}, {"begin": 549, "end": 738, "score": 0.03439548}, {"begin": 738, "end": 936, "score": 0.0031054073}, {"begin": 936, "end": 1101, "score": 0.09703961}, {"begin": 1101, "end": 1366, "score": 0.02153072}, {"begin": 1366, "end": 1521, "score": 0.017985748}, {"begin": 1521, "end": 1526, "score": 0.15360858}, {"begin": 1526, "end": 2567, "score": 0.060891606}]}
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{"text": "White matter and cognitive decline in aging: a focus on processing speed and variability.\nWhite matter (WM) change plays an important role in age-related cognitive decline. In this review, we consider methodological advances with particular relevance to the role of WM in age-related changes in processing speed. In this context, intra-individual variability in processing speed performance has emerged as a sensitive proxy of cognitive and neurological decline while neuroimaging techniques used to assess WM change have become increasingly more sensitive. Together with a carefully designed task protocol, we emphasize that the combined implementation of intra-individual variability and neuroimaging techniques hold promise for specifying the WM-processing speed relationship with implications for normative and clinical samples.", "meta": {"pile_set_name": "PubMed Abstracts"}, "score": 0.05692302, "span_scores": [{"begin": 0, "end": 90, "score": 0.021416796}, {"begin": 90, "end": 173, "score": 0.077950716}, {"begin": 173, "end": 313, "score": 0.002937661}, {"begin": 313, "end": 558, "score": 0.05478445}, {"begin": 558, "end": 832, "score": 0.0036788897}]}
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{"text": "# This stops the record from forgetting changes when the record \n# is saved.\n#\n# If you're interested in changes between subsequent saves\n# you can call #clear_changes! to clear them.\n\nActiveRecord::Base.class_eval do\n alias :save :save_without_dirty\n alias :save! :save_without_dirty!\n \n def clear_changes! # TODO figure out a better name\n changed_attributes.clear\n end\n \n def state_changes\n if frozen?\n [:deleted]\n elsif just_created?\n [:created]\n elsif changed?\n [:updated]\n else\n []\n end\n end\n \n def just_created?\n !!changes['id'] and changes['id'].first.nil?\n end\nend\n", "meta": {"pile_set_name": "Github"}, "score": 0.08507441, "span_scores": [{"begin": 0, "end": 65, "score": 0.038029127}, {"begin": 65, "end": 77, "score": 0.040176798}, {"begin": 77, "end": 138, "score": 0.1595566}, {"begin": 138, "end": 169, "score": 0.033290487}, {"begin": 169, "end": 184, "score": 0.06190387}, {"begin": 184, "end": 218, "score": 0.102847524}, {"begin": 218, "end": 252, "score": 0.1659962}, {"begin": 252, "end": 288, "score": 0.17831726}, {"begin": 288, "end": 312, "score": 0.04641307}, {"begin": 312, "end": 625, "score": 0.05757487}]}
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{"text": "Mayo Clinic\n\nWith lung cancer being the leading cause of cancer-related deaths in the U.S., effective early screening is key to saving lives. Researchers at the Mayo Clinic say they've developed new software that can help classify lung nodules noninvasively, saving lives and health care costs.\n\nA pilot study of the program called Computer-aided Nodule Assessment and Risk Yield, or Canary, appears in the April issue of the Journal of Thoracic Oncology.\n\nCanary leans on data from high-resolution CT images of a common type of cancerous nodule in the lung called pulmonary adenocarcinomas. It matches every pixel of the lung image to one of nine unique radiological exemplars. In the pilot study, it was able to classify the lesions as aggressive or indolent with high sensitivity, as compared to microscopic analyses of the lesions after being surgically removed and analyzed by lung pathologists.\n\n\"Pulmonary adenocarcinoma is the most common type of lung cancer and early detection using traditional computed tomography (CT) scans can lead to a better prognosis,\" Tobias Peikert, a Mayo Clinic pulmonologist and senior author of the study, said in a news release. \"However, a subgroup of the detected adenocarcinomas identified by CT may grow very slowly and may be treatable with less extensive surgery.\"\n\nPeikert says that without effective screening, most lung cancer patients don't identify the disease until they are at an advanced stage and far more likely to die from it. Yet, screening via CT scans would be an expensive way to improve the survival rate, as it often can lead to overtreating slow-growing tumors. The hope is that Canary can identify those tumors that can be treated with less extensive -- and expensive -- surgery.", "meta": {"pile_set_name": "OpenWebText2"}, "score": 0.08771011, "span_scores": [{"begin": 0, "end": 12, "score": 0.064552285}, {"begin": 12, "end": 142, "score": 0.048415024}, {"begin": 142, "end": 295, "score": 0.06232245}, {"begin": 295, "end": 456, "score": 0.0013380741}, {"begin": 456, "end": 592, "score": 0.17080234}, {"begin": 592, "end": 679, "score": 0.043711808}, {"begin": 679, "end": 901, "score": 0.007161158}, {"begin": 901, "end": 1169, "score": 0.012717146}, {"begin": 1169, "end": 1311, "score": 0.016770875}, {"begin": 1311, "end": 1744, "score": 0.042821296}]}
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{"text": "Newly resurfaced audio from 1992 shows Donald Trump Donald John TrumpOmar fires back at Trump over rally remarks: 'This is my country' Pelosi: Trump hurrying to fill SCOTUS seat so he can repeal ObamaCare Trump mocks Biden appearance, mask use ahead of first debate MORE arguing that Mike Tyson shouldn't be sent to jail after he was convicted of rape.\n\nADVERTISEMENT\n\nThe release of Trump's interview with radio shock jockey Howard Stern by CNN comes days after The Washington Post published 2005 audio of the future GOP presidential nominee talking about groping women without their consent.\n\nIn the earlier audio, Trump laments Tyson's conviction as a \"travesty\" and says \"I hate to see what's happened to him.\"\n\nHe proposes that the world heavyweight boxing champion should donate the proceeds from his upcoming fights in order to avoid jail time, a figure he pegs as between $20 million to $30 million per fight.\n\n\"My concept is for the state of Indiana, maybe $20 million, a lot of money, the proceeds from his next fight, his next two fights for rape victims,\" Trump says.\n\n\"I think that's a lot better than having Mike Tyson serve jail for 10 years or something. I think it's gonna do a lot more in terms of a cause.\"\n\nTrump went on to add that while he's never seen Tyson acting inappropriately around women, he's seen questionable conduct from women directed at Tyson.\n\n\"I've seen women going around touching him. He walks in a room and the women start grabbing him and grabbing his ass and grabbing anything else they can grab on him,\" Trump says.\n\nTyson was found guilty of raping an 18-year-old woman in 1992. He served less than three years of a six-year sentence in an Indiana prison.\n\nTrump has touted Tyson's endorsement while on the stump and had to shoot down rumors that he invited the boxer to speak at the Republican National Convention after Bloomberg Politics reported Tyson would attend.\n\n\"Iron Mike Tyson was not asked to speak at the Convention though I'm sure he would do a good job if he was. The media makes everything up,\" Trump tweeted in July. Tyson did not end up attending the event.", "meta": {"pile_set_name": "OpenWebText2"}, "score": 0.5876557, "span_scores": [{"begin": 0, "end": 353, "score": 0.47164378}, {"begin": 353, "end": 368, "score": 0.13440473}, {"begin": 368, "end": 594, "score": 0.31089434}, {"begin": 594, "end": 715, "score": 0.40309536}, {"begin": 715, "end": 918, "score": 0.06789618}, {"begin": 918, "end": 1080, "score": 0.3796245}, {"begin": 1080, "end": 1171, "score": 0.12415135}, {"begin": 1171, "end": 1226, "score": 0.056781184}, {"begin": 1226, "end": 1379, "score": 0.32058528}, {"begin": 1379, "end": 2118, "score": 0.75409913}]}
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{"text": "Neurological complications of congenital heart disease.\nNeurological complications contribute significantly to mortality and morbidity from congenital heart disease with serious long-term consequences. Congenital heart disease has also been shown to adversely influence the neuro-developmental outcome of children. In developing countries such as India, majority of congenital heart defects remains uncorrected and major neurological complications are frequently encountered. Stroke and brain abscess are the commonest neurological complications of unoperated congenital heart disease. In developed countries the focus has now shifted to neurological complications of cardiac surgery in the very young as a result of cardiopulmonary bypass and total hypothermic circulatory arrest. A variety of neurological disturbances are now being increasingly recognized and are currently the subject of intense investigations. In this review the neurological complications of uncorrected congenital heart disease and the common neurological complications that result from operations for congenital heart disease will be discussed.", "meta": {"pile_set_name": "PubMed Abstracts"}, "score": 0.076556556, "span_scores": [{"begin": 0, "end": 56, "score": 0.081054926}, {"begin": 56, "end": 202, "score": 0.064888276}, {"begin": 202, "end": 315, "score": 0.068587184}, {"begin": 315, "end": 476, "score": 0.005663608}, {"begin": 476, "end": 586, "score": 0.1535318}, {"begin": 586, "end": 782, "score": 0.0028248099}, {"begin": 782, "end": 916, "score": 0.010733042}, {"begin": 916, "end": 1119, "score": 0.011441177}]}
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{"text": "Dynamics of motile-sperm subpopulation structure in boar ejaculates subjected to \"in vitro\" capacitation and further \"in vitro\" acrosome reaction.\nIncubation of diluted boar sperm from fresh ejaculates in a previously established \"in vitro\" capacitation medium induced a significant, time-dependent increase in several mean parameters of sperm motility, such as curvilinear velocity (VCL), linear velocity (VSL), mean velocity (VAP), linearity coefficient (LIN), straightness coefficient (STR) and wobble coefficient (WOB). Furthermore, motile boar-sperm semen samples were structured in four definite subpopulations. Subpopulation 1 showed the lowest values of VCL, VSL and VAP and also low values of linearity. Subpopulation 2 showed the second lowest values of VCL and VAP and higher values of LIN and STR. Subpopulation 3 was characterized by high values of velocity and low values of linearity. Finally, Subpopulation 4 was characterized by high values of velocity and linearity. \"In vitro\" capacitation and further acrosome reaction induced changes in the motility characteristics of each subpopulation as well as in their percentage distribution, Subpopulations 3 and 4 being those that showed the most significant changes. However, despite these changes, the observed, overall four-subpopulation structure was firmly maintained during the entire \"in vitro\" capacitation and acrosome-reaction process. Our results suggest that capacitation-induced motility changes are related to specific changes in the percentage of each motile-sperm subpopulation in the ejaculate without losing the overall, specific four-subpopulation structure. In this way, the maintenance of a four-subpopulation structure seems to be important in the control of the whole ejaculate physiology.", "meta": {"pile_set_name": "PubMed Abstracts"}, "score": 0.40605626, "span_scores": [{"begin": 0, "end": 147, "score": 0.21236321}, {"begin": 147, "end": 524, "score": 0.0433224}, {"begin": 524, "end": 618, "score": 0.15050493}, {"begin": 618, "end": 713, "score": 0.028831808}, {"begin": 713, "end": 810, "score": 0.08766603}, {"begin": 810, "end": 900, "score": 0.072920315}, {"begin": 900, "end": 985, "score": 0.029839039}, {"begin": 985, "end": 1231, "score": 0.011523477}, {"begin": 1231, "end": 1409, "score": 6.878179e-05}, {"begin": 1409, "end": 1775, "score": 0.5876557}]}
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{"MHM Id": 6203.0, "Classification": "culex", "Container": "cement metal or plastic tank", "Userid": 2539857, "latitude": 14.6843, "longitude": -17.4629, "date": "12/29/2018", "Photo": "https://data.globe.gov/system/photos/2018/12/29/936079/original.jpg"}
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{"MHM Id": 6203.0, "Classification": "culex", "Container": "cement metal or plastic tank", "Userid": 2539857, "latitude": 14.6843, "longitude": -17.4629, "date": "12/29/2018", "Photo": "https://data.globe.gov/system/photos/2018/12/29/936080/original.jpg"}
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{"MHM Id": 6203.0, "Classification": "culex", "Container": "cement metal or plastic tank", "Userid": 2539857, "latitude": 14.6843, "longitude": -17.4629, "date": "12/29/2018", "Photo": "https://data.globe.gov/system/photos/2018/12/29/936081/original.jpg"}
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{"MHM Id": 6136.0, "Classification": "culex", "Container": "cement metal or plastic tank", "Userid": 2539857, "latitude": 15.0409, "longitude": -16.2473, "date": "12/15/2018", "Photo": "https://data.globe.gov/system/photos/2018/12/15/930122/original.jpg"}
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{"MHM Id": 6136.0, "Classification": "culex", "Container": "cement metal or plastic tank", "Userid": 2539857, "latitude": 15.0409, "longitude": -16.2473, "date": "12/15/2018", "Photo": "https://data.globe.gov/system/photos/2018/12/15/930123/original.jpg"}
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{"MHM Id": 6136.0, "Classification": "culex", "Container": "cement metal or plastic tank", "Userid": 2539857, "latitude": 15.0409, "longitude": -16.2473, "date": "12/15/2018", "Photo": "https://data.globe.gov/system/photos/2018/12/15/930124/original.jpg"}
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{"MHM Id": 4873.0, "Classification": "aedes", "Container": "tire", "Userid": 2539857, "latitude": 14.7403, "longitude": -17.3088, "date": "10/20/2018", "Photo": "https://data.globe.gov/system/photos/2018/10/20/880602/original.jpg"}
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{"Prompt": "realistic car 3 d render sci - fi car and sci - fi robotic factory structure in the coronation of napoleon painting and digital billboard with point cloud in the middle, unreal engine 5, keyshot, octane, artstation trending, ultra high detail, ultra realistic, cinematic, 8 k, 1 6 k, in style of zaha hadid, in style of nanospace michael menzelincev, in style of lee souder, in plastic, dark atmosphere, tilt shift, depth of field,"}
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{"Prompt": "a comic potrait of a female necromamcer with big and cute eyes, fine - face, realistic shaded perfect face, fine details. night setting. very anime style. realistic shaded lighting poster by ilya kuvshinov katsuhiro, magali villeneuve, artgerm, jeremy lipkin and michael garmash, rob rey and kentaro miura style, trending on art station"}
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{"Prompt": "steampunk market interior, colorful, 3 d scene, greg rutkowski, zabrocki, karlkka, jayison devadas, trending on artstation, 8 k, ultra wide angle, zenith view, pincushion lens effect"}
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{"Prompt": "A full portrait of a beautiful post apocalyptic offworld nanotechnician, intricate, elegant, highly detailed, digital painting, artstation, concept art, smooth, sharp focus, illustration, art by Krenz Cushart and Artem Demura and alphonse mucha"}
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{"Prompt": "beautiful victorian raven digital painting, art by artgerm and greg rutkowski, alphonse mucha, cgsociety"}
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{"Prompt": "ilya kuvshinov with long sky blue hair, gold eyes, professional digital painting, concept art, unreal engine 5, 8 k, cinematic, wlop, bubbles, tendrils in the background, art by greg rutkowski, pixiv art, junji ito, yoshitaka amano"}
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{"Prompt": "violet demonic card game decorative frame, violet decorative frame, card frame, card frame, card frame, card frame, card frame, card frame, card frame, card frame, card frame, card game artwork frame. 8 k, sharp high quality artwork in style of jose daniel cabrera pena and greg rutkowski, concept art, blizzard warcraft artwork, hearthstone artwork, blue sea theme"}
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{"Prompt": "a black and white edward gorey illustration of a man in old fashioned clothes waits by the side of the mountain road with his suitcase, looking at a coach with 4 horses is in front of him, stormy night time in the mountains highly detailed in the style of edward gorey, artgerm, 8 k resolution - c 5"}
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{"Prompt": "african hydropunk princess, science fiction, highly detailed, digital painting, beautiful eyes, symmetry, concept art, sharp focus, illustration, global illumination, radiant light, synthwave colors, detailed and intricate environment, art by artgerm and greg rutkowski and magali villeneuve and ilya kuvshinov!"}
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|
{"class_id": "/m/0hdln", "display_name": "Ruler", "ngram": "ruler", "label": [0.0181818176, 0.0363636352, 0.3077272773, 0.0181818176, 0.0363636352, 0.086363636, 0.0363636352, 0.0363636352, 0.0363636352, 0.086363636, 0.301363647], "object_group": 2, "text": "All rulers are [MASK].", "template_group": 1, "template_idx": 0}
|
{"class_id": "/m/0hdln", "display_name": "Ruler", "ngram": "ruler", "label": [0.0181818176, 0.0363636352, 0.3077272773, 0.0181818176, 0.0363636352, 0.086363636, 0.0363636352, 0.0363636352, 0.0363636352, 0.086363636, 0.301363647], "object_group": 2, "text": "Commonly rulers are [MASK].", "template_group": 1, "template_idx": 1}
|
{"class_id": "/m/0hdln", "display_name": "Ruler", "ngram": "ruler", "label": [0.0181818176, 0.0363636352, 0.3077272773, 0.0181818176, 0.0363636352, 0.086363636, 0.0363636352, 0.0363636352, 0.0363636352, 0.086363636, 0.301363647], "object_group": 2, "text": "Everyone knows that most rulers are [MASK].", "template_group": 1, "template_idx": 2}
|
{"class_id": "/m/0hdln", "display_name": "Ruler", "ngram": "ruler", "label": [0.0181818176, 0.0363636352, 0.3077272773, 0.0181818176, 0.0363636352, 0.086363636, 0.0363636352, 0.0363636352, 0.0363636352, 0.086363636, 0.301363647], "object_group": 2, "text": "Everyone knows that rulers are [MASK].", "template_group": 1, "template_idx": 3}
|
{"class_id": "/m/0hdln", "display_name": "Ruler", "ngram": "ruler", "label": [0.0181818176, 0.0363636352, 0.3077272773, 0.0181818176, 0.0363636352, 0.086363636, 0.0363636352, 0.0363636352, 0.0363636352, 0.086363636, 0.301363647], "object_group": 2, "text": "It is known that most rulers are [MASK].", "template_group": 1, "template_idx": 4}
|
{"class_id": "/m/0hdln", "display_name": "Ruler", "ngram": "ruler", "label": [0.0181818176, 0.0363636352, 0.3077272773, 0.0181818176, 0.0363636352, 0.086363636, 0.0363636352, 0.0363636352, 0.0363636352, 0.086363636, 0.301363647], "object_group": 2, "text": "It is known that rulers are [MASK].", "template_group": 1, "template_idx": 5}
|
{"class_id": "/m/0hdln", "display_name": "Ruler", "ngram": "ruler", "label": [0.0181818176, 0.0363636352, 0.3077272773, 0.0181818176, 0.0363636352, 0.086363636, 0.0363636352, 0.0363636352, 0.0363636352, 0.086363636, 0.301363647], "object_group": 2, "text": "It's known that most rulers are [MASK].", "template_group": 1, "template_idx": 6}
|
{"class_id": "/m/0hdln", "display_name": "Ruler", "ngram": "ruler", "label": [0.0181818176, 0.0363636352, 0.3077272773, 0.0181818176, 0.0363636352, 0.086363636, 0.0363636352, 0.0363636352, 0.0363636352, 0.086363636, 0.301363647], "object_group": 2, "text": "It's known that rulers are [MASK].", "template_group": 1, "template_idx": 7}
|
{"class_id": "/m/0hdln", "display_name": "Ruler", "ngram": "ruler", "label": [0.0181818176, 0.0363636352, 0.3077272773, 0.0181818176, 0.0363636352, 0.086363636, 0.0363636352, 0.0363636352, 0.0363636352, 0.086363636, 0.301363647], "object_group": 2, "text": "Most rulers are [MASK].", "template_group": 1, "template_idx": 8}
|
{"class_id": "/m/0hdln", "display_name": "Ruler", "ngram": "ruler", "label": [0.0181818176, 0.0363636352, 0.3077272773, 0.0181818176, 0.0363636352, 0.086363636, 0.0363636352, 0.0363636352, 0.0363636352, 0.086363636, 0.301363647], "object_group": 2, "text": "This ruler is [MASK].", "template_group": 1, "template_idx": 9}
|
{"id": "8", "source": "http://de.wikipedia.org/wiki/VW_Lupo_II [2010-01-12] ", "tokens": ["New", "Small", "Family", "mit", "E-Motor", ":", "Studie", "E-Up", "!"], "ner_tags": [0, 0, 0, 0, 0, 0, 0, 0, 0], "nested_ner_tags": [0, 0, 0, 0, 0, 0, 0, 0, 0]}
|
{"id": 0, "id1": 13988825, "id2": 8660836, "func1": " private void setNodekeyInJsonResponse(String service) throws Exception {\n String filename = this.baseDirectory + service + \".json\";\n Scanner s = new Scanner(new File(filename));\n PrintWriter fw = new PrintWriter(new File(filename + \".new\"));\n while (s.hasNextLine()) {\n fw.println(s.nextLine().replaceAll(\"NODEKEY\", this.key));\n }\n s.close();\n fw.close();\n (new File(filename + \".new\")).renameTo(new File(filename));\n }\n", "func2": " public void transform(String style, String spec, OutputStream out) throws IOException {\n URL url = new URL(rootURL, spec);\n InputStream in = new PatchXMLSymbolsStream(new StripDoctypeStream(url.openStream()));\n transform(style, in, out);\n in.close();\n }\n", "label": false}
|
{"id": 1, "id1": 80378, "id2": 18548122, "func1": " public static void test(String args[]) {\n int trace;\n int bytes_read = 0;\n int last_contentLenght = 0;\n try {\n BufferedReader reader;\n URL url;\n url = new URL(args[0]);\n URLConnection istream = url.openConnection();\n last_contentLenght = istream.getContentLength();\n reader = new BufferedReader(new InputStreamReader(istream.getInputStream()));\n System.out.println(url.toString());\n String line;\n trace = t2pNewTrace();\n while ((line = reader.readLine()) != null) {\n bytes_read = bytes_read + line.length() + 1;\n t2pProcessLine(trace, line);\n }\n t2pHandleEventPairs(trace);\n t2pSort(trace, 0);\n t2pExportTrace(trace, new String(\"pngtest2.png\"), 1000, 700, (float) 0, (float) 33);\n t2pExportTrace(trace, new String(\"pngtest3.png\"), 1000, 700, (float) 2.3, (float) 2.44);\n System.out.println(\"Press any key to contiune read from stream !!!\");\n System.out.println(t2pGetProcessName(trace, 0));\n System.in.read();\n istream = url.openConnection();\n if (last_contentLenght != istream.getContentLength()) {\n istream = url.openConnection();\n istream.setRequestProperty(\"Range\", \"bytes=\" + Integer.toString(bytes_read) + \"-\");\n System.out.println(Integer.toString(istream.getContentLength()));\n reader = new BufferedReader(new InputStreamReader(istream.getInputStream()));\n while ((line = reader.readLine()) != null) {\n System.out.println(line);\n t2pProcessLine(trace, line);\n }\n } else System.out.println(\"File not changed !\");\n t2pDeleteTrace(trace);\n } catch (MalformedURLException e) {\n System.out.println(\"MalformedURLException !!!\");\n } catch (IOException e) {\n System.out.println(\"File not found \" + args[0]);\n }\n ;\n }\n", "func2": " private static String loadUrlToString(String a_url) throws IOException {\n URL l_url1 = new URL(a_url);\n BufferedReader br = new BufferedReader(new InputStreamReader(l_url1.openStream()));\n String l_content = \"\";\n String l_ligne = null;\n l_content = br.readLine();\n while ((l_ligne = br.readLine()) != null) {\n l_content += AA.SL + l_ligne;\n }\n return l_content;\n }\n", "label": true}
|
{"id": 2, "id1": 21354223, "id2": 7421563, "func1": " public String kodetu(String testusoila) {\n MessageDigest md = null;\n try {\n md = MessageDigest.getInstance(\"SHA\");\n md.update(testusoila.getBytes(\"UTF-8\"));\n } catch (NoSuchAlgorithmException e) {\n new MezuLeiho(\"Ez da zifraketa algoritmoa aurkitu\", \"Ados\", \"Zifraketa Arazoa\", JOptionPane.ERROR_MESSAGE);\n e.printStackTrace();\n } catch (UnsupportedEncodingException e) {\n new MezuLeiho(\"Errorea kodetzerakoan\", \"Ados\", \"Kodeketa Errorea\", JOptionPane.ERROR_MESSAGE);\n e.printStackTrace();\n }\n byte raw[] = md.digest();\n String hash = (new BASE64Encoder()).encode(raw);\n return hash;\n }\n", "func2": " private StringBuffer encoder(String arg) {\n if (arg == null) {\n arg = \"\";\n }\n MessageDigest md5 = null;\n try {\n md5 = MessageDigest.getInstance(\"MD5\");\n md5.update(arg.getBytes(SysConstant.charset));\n } catch (Exception e) {\n e.printStackTrace();\n }\n return toHex(md5.digest());\n }\n", "label": true}
|
{"id": 3, "id1": 15826299, "id2": 19728871, "func1": " public static void printResponseHeaders(String address) {\n logger.info(\"Address: \" + address);\n try {\n URL url = new URL(address);\n URLConnection conn = url.openConnection();\n for (int i = 0; ; i++) {\n String headerName = conn.getHeaderFieldKey(i);\n String headerValue = conn.getHeaderField(i);\n if (headerName == null && headerValue == null) {\n break;\n }\n if (headerName == null) {\n logger.info(headerValue);\n continue;\n }\n logger.info(headerName + \" \" + headerValue);\n }\n } catch (Exception e) {\n logger.error(\"Exception Message: \" + e.getMessage());\n }\n }\n", "func2": " public static String getEncodedPassword(String buff) {\n if (buff == null) return null;\n String t = new String();\n try {\n MessageDigest md = MessageDigest.getInstance(\"MD5\");\n md.update(buff.getBytes());\n byte[] r = md.digest();\n for (int i = 0; i < r.length; i++) {\n t += toHexString(r[i]);\n }\n } catch (Exception e) {\n e.printStackTrace();\n }\n return t;\n }\n", "label": false}
|
{"id": 4, "id1": 9938081, "id2": 11517213, "func1": " public void load(String fileName) {\n BufferedReader bufReader;\n loaded = false;\n vector.removeAllElements();\n try {\n if (fileName.startsWith(\"http:\")) {\n URL url = new URL(fileName);\n bufReader = new BufferedReader(new InputStreamReader(url.openStream()));\n } else bufReader = new BufferedReader(new FileReader(fileName));\n String inputLine;\n while ((inputLine = bufReader.readLine()) != null) {\n if (listener != null) listener.handleLine(inputLine); else vector.add(inputLine);\n }\n bufReader.close();\n loaded = true;\n } catch (IOException e) {\n errorMsg = e.getMessage();\n }\n }\n", "func2": " private static void copyFile(File sourceFile, File destFile) {\n try {\n if (!destFile.exists()) {\n destFile.createNewFile();\n }\n FileChannel source = null;\n FileChannel destination = null;\n try {\n source = new FileInputStream(sourceFile).getChannel();\n destination = new FileOutputStream(destFile).getChannel();\n destination.transferFrom(source, 0, source.size());\n } finally {\n if (source != null) {\n source.close();\n }\n if (destination != null) {\n destination.close();\n }\n }\n } catch (Exception e) {\n throw new RuntimeException(e);\n }\n }\n", "label": false}
|
{"id": 5, "id1": 18220543, "id2": 17366812, "func1": " private MapProperties readProperties(URL url) {\n @SuppressWarnings(\"unchecked\") MapProperties properties = new MapProperties(new LinkedHashMap());\n InputStream is = null;\n try {\n is = url.openStream();\n properties.load(is);\n } catch (IOException ex) {\n throw new RuntimeException(ex);\n } finally {\n StreamUtils.close(is);\n }\n return properties;\n }\n", "func2": " public String tranportRemoteUnitToLocalTempFile(String urlStr) throws UnitTransportException {\n InputStream input = null;\n BufferedOutputStream bos = null;\n File tempUnit = null;\n try {\n URL url = null;\n int total = 0;\n try {\n url = new URL(urlStr);\n input = url.openStream();\n URLConnection urlConnection;\n urlConnection = url.openConnection();\n total = urlConnection.getContentLength();\n } catch (IOException e) {\n throw new UnitTransportException(String.format(\"Can't get remote file [%s].\", urlStr), e);\n }\n String unitName = urlStr.substring(urlStr.lastIndexOf('/') + 1);\n tempUnit = null;\n try {\n if (StringUtils.isNotEmpty(unitName)) tempUnit = new File(CommonUtil.getTempDir(), unitName); else tempUnit = File.createTempFile(CommonUtil.getTempDir(), \"tempUnit\");\n File parent = tempUnit.getParentFile();\n FileUtils.forceMkdir(parent);\n if (!tempUnit.exists()) FileUtils.touch(tempUnit);\n bos = new BufferedOutputStream(new FileOutputStream(tempUnit));\n } catch (FileNotFoundException e) {\n throw new UnitTransportException(String.format(\"Can't find temp file [%s].\", tempUnit.getAbsolutePath()), e);\n } catch (IOException e) {\n throw new UnitTransportException(String.format(\"Can't create temp file [%s].\", tempUnit.getAbsolutePath()), e);\n } catch (DeployToolException e) {\n throw new UnitTransportException(String.format(\"Error when create temp file [%s].\", tempUnit), e);\n }\n logger.info(String.format(\"Use [%s] for http unit [%s].\", tempUnit.getAbsoluteFile(), urlStr));\n int size = -1;\n try {\n size = IOUtils.copy(input, bos);\n bos.flush();\n } catch (IOException e) {\n logger.info(String.format(\"Error when download [%s] to [%s].\", urlStr, tempUnit));\n }\n if (size != total) throw new UnitTransportException(String.format(\"The file size is not right when download http unit [%s]\", urlStr));\n } finally {\n if (input != null) IOUtils.closeQuietly(input);\n if (bos != null) IOUtils.closeQuietly(bos);\n }\n logger.info(String.format(\"Download unit to [%s].\", tempUnit.getAbsolutePath()));\n return tempUnit.getAbsolutePath();\n }\n", "label": false}
|
{"id": 6, "id1": 22328849, "id2": 17334846, "func1": " protected void doRestoreOrganize() throws Exception {\n Connection con = null;\n PreparedStatement ps = null;\n ResultSet result = null;\n String strDelQuery = \"DELETE FROM \" + Common.ORGANIZE_TABLE;\n String strSelQuery = \"SELECT organize_id,organize_type_id,organize_name,organize_manager,\" + \"organize_describe,work_type,show_order,position_x,position_y \" + \"FROM \" + Common.ORGANIZE_B_TABLE + \" \" + \"WHERE version_no = ?\";\n String strInsQuery = \"INSERT INTO \" + Common.ORGANIZE_TABLE + \" \" + \"(organize_id,organize_type_id,organize_name,organize_manager,\" + \"organize_describe,work_type,show_order,position_x,position_y) \" + \"VALUES (?,?,?,?,?,?,?,?,?)\";\n DBOperation dbo = factory.createDBOperation(POOL_NAME);\n try {\n try {\n con = dbo.getConnection();\n con.setAutoCommit(false);\n ps = con.prepareStatement(strDelQuery);\n ps.executeUpdate();\n ps = con.prepareStatement(strSelQuery);\n ps.setInt(1, this.versionNO);\n result = ps.executeQuery();\n ps = con.prepareStatement(strInsQuery);\n while (result.next()) {\n ps.setString(1, result.getString(\"organize_id\"));\n ps.setString(2, result.getString(\"organize_type_id\"));\n ps.setString(3, result.getString(\"organize_name\"));\n ps.setString(4, result.getString(\"organize_manager\"));\n ps.setString(5, result.getString(\"organize_describe\"));\n ps.setString(6, result.getString(\"work_type\"));\n ps.setInt(7, result.getInt(\"show_order\"));\n ps.setInt(8, result.getInt(\"position_x\"));\n ps.setInt(9, result.getInt(\"position_y\"));\n int resultCount = ps.executeUpdate();\n if (resultCount != 1) {\n con.rollback();\n throw new CesSystemException(\"Organize_backup.doRestoreOrganize(): ERROR Inserting data \" + \"in T_SYS_ORGANIZE INSERT !! resultCount = \" + resultCount);\n }\n }\n con.commit();\n } catch (SQLException se) {\n con.rollback();\n throw new CesSystemException(\"Organize_backup.doRestoreOrganize(): SQLException: \" + se);\n } finally {\n con.setAutoCommit(true);\n close(dbo, ps, result);\n }\n } catch (SQLException se) {\n throw new CesSystemException(\"Organize_backup.doRestoreOrganize(): SQLException while committing or rollback\");\n }\n }\n", "func2": " static String encodeEmailAsUserId(String email) {\n try {\n MessageDigest md5 = MessageDigest.getInstance(\"MD5\");\n md5.update(email.toLowerCase().getBytes());\n StringBuilder builder = new StringBuilder();\n builder.append(\"1\");\n for (byte b : md5.digest()) {\n builder.append(String.format(\"%02d\", new Object[] { Integer.valueOf(b & 0xFF) }));\n }\n return builder.toString().substring(0, 20);\n } catch (NoSuchAlgorithmException ex) {\n }\n return \"\";\n }\n", "label": false}
|
{"id": 7, "id1": 19130322, "id2": 15710690, "func1": " private String sha1(String s) {\n String encrypt = s;\n try {\n MessageDigest sha = MessageDigest.getInstance(\"SHA-1\");\n sha.update(s.getBytes());\n byte[] digest = sha.digest();\n final StringBuffer buffer = new StringBuffer();\n for (int i = 0; i < digest.length; ++i) {\n final byte b = digest[i];\n final int value = (b & 0x7F) + (b < 0 ? 128 : 0);\n buffer.append(value < 16 ? \"0\" : \"\");\n buffer.append(Integer.toHexString(value));\n }\n encrypt = buffer.toString();\n } catch (NoSuchAlgorithmException e) {\n e.printStackTrace();\n }\n return encrypt;\n }\n", "func2": " @SuppressWarnings(\"unused\")\n private String getMD5(String value) {\n MessageDigest md5;\n try {\n md5 = MessageDigest.getInstance(\"MD5\");\n } catch (NoSuchAlgorithmException e) {\n return \"\";\n }\n md5.reset();\n md5.update(value.getBytes());\n byte[] messageDigest = md5.digest();\n StringBuffer hexString = new StringBuffer();\n for (int i = 0; i < messageDigest.length; i++) {\n hexString.append(Integer.toHexString(0xFF & messageDigest[i]));\n }\n String hashedPassword = hexString.toString();\n return hashedPassword;\n }\n", "label": true}
|
{"id": 8, "id1": 1111832, "id2": 789472, "func1": " private void storeFieldMap(WorkingContent c, Connection conn) throws SQLException {\n SQLDialect dialect = getDatabase().getSQLDialect();\n if (TRANSACTIONS_ENABLED) {\n conn.setAutoCommit(false);\n }\n try {\n Object thisKey = c.getPrimaryKey();\n deleteFieldContent(thisKey, conn);\n PreparedStatement ps = null;\n StructureItem nextItem;\n Map fieldMap = c.getFieldMap();\n String type;\n Object value, siKey;\n for (Iterator i = c.getStructure().getStructureItems().iterator(); i.hasNext(); ) {\n nextItem = (StructureItem) i.next();\n type = nextItem.getDataType().toUpperCase();\n siKey = nextItem.getPrimaryKey();\n value = fieldMap.get(nextItem.getName());\n try {\n if (type.equals(StructureItem.DATE)) {\n ps = conn.prepareStatement(sqlConstants.get(\"INSERT_DATE_FIELD\"));\n ps.setObject(1, thisKey);\n ps.setObject(2, siKey);\n dialect.setDate(ps, 3, (Date) value);\n ps.executeUpdate();\n } else if (type.equals(StructureItem.INT) || type.equals(StructureItem.FLOAT) || type.equals(StructureItem.VARCHAR)) {\n ps = conn.prepareStatement(sqlConstants.get(\"INSERT_\" + type + \"_FIELD\"));\n ps.setObject(1, thisKey);\n ps.setObject(2, siKey);\n if (value != null) {\n ps.setObject(3, value);\n } else {\n int sqlType = Types.INTEGER;\n if (type.equals(StructureItem.FLOAT)) {\n sqlType = Types.FLOAT;\n } else if (type.equals(StructureItem.VARCHAR)) {\n sqlType = Types.VARCHAR;\n }\n ps.setNull(3, sqlType);\n }\n ps.executeUpdate();\n } else if (type.equals(StructureItem.TEXT)) {\n setTextField(c, siKey, (String) value, conn);\n }\n if (ps != null) {\n ps.close();\n ps = null;\n }\n } finally {\n if (ps != null) ps.close();\n }\n }\n if (TRANSACTIONS_ENABLED) {\n conn.commit();\n }\n } catch (SQLException e) {\n if (TRANSACTIONS_ENABLED) {\n conn.rollback();\n }\n throw e;\n } finally {\n if (TRANSACTIONS_ENABLED) {\n conn.setAutoCommit(true);\n }\n }\n }\n", "func2": " public void elimina(Pedido pe) throws errorSQL, errorConexionBD {\n System.out.println(\"GestorPedido.elimina()\");\n int id = pe.getId();\n String sql;\n Statement stmt = null;\n try {\n gd.begin();\n sql = \"DELETE FROM pedido WHERE id=\" + id;\n System.out.println(\"Ejecutando: \" + sql);\n stmt = gd.getConexion().createStatement();\n stmt.executeUpdate(sql);\n System.out.println(\"executeUpdate\");\n gd.commit();\n System.out.println(\"commit\");\n stmt.close();\n } catch (SQLException e) {\n gd.rollback();\n throw new errorSQL(e.toString());\n } catch (errorConexionBD e) {\n System.err.println(\"Error en GestorPedido.elimina(): \" + e);\n } catch (errorSQL e) {\n System.err.println(\"Error en GestorPedido.elimina(): \" + e);\n }\n }\n", "label": true}
|
{"id": 9, "id1": 7046481, "id2": 18317332, "func1": " public InlineImageChunk(URL url) {\n super();\n this.url = url;\n try {\n URLConnection urlConn = url.openConnection();\n urlConn.setReadTimeout(15000);\n ImageInputStream iis = ImageIO.createImageInputStream(urlConn.getInputStream());\n Iterator<ImageReader> readers = ImageIO.getImageReaders(iis);\n if (readers.hasNext()) {\n ImageReader reader = readers.next();\n reader.setInput(iis, true);\n this.width = reader.getWidth(0);\n this.ascent = reader.getHeight(0);\n this.descent = 0;\n reader.dispose();\n } else System.err.println(\"cannot read width and height of image \" + url + \" - no suitable reader!\");\n } catch (Exception exc) {\n System.err.println(\"cannot read width and height of image \" + url + \" due to exception:\");\n System.err.println(exc);\n exc.printStackTrace(System.err);\n }\n }\n", "func2": " void execute(Connection conn, Component parent, String context, final ProgressMonitor progressMonitor, ProgressWrapper progressWrapper) throws Exception {\n int noOfComponents = m_components.length;\n Statement statement = null;\n StringBuffer pmNoteBuf = new StringBuffer(m_update ? \"Updating \" : \"Creating \");\n pmNoteBuf.append(m_itemNameAbbrev);\n pmNoteBuf.append(\" \");\n pmNoteBuf.append(m_itemNameValue);\n final String pmNote = pmNoteBuf.toString();\n progressMonitor.setNote(pmNote);\n try {\n conn.setAutoCommit(false);\n int id = -1;\n if (m_update) {\n statement = conn.createStatement();\n String sql = getUpdateSql(noOfComponents, m_id);\n statement.executeUpdate(sql);\n id = m_id;\n if (m_indexesChanged) deleteComponents(conn, id);\n } else {\n PreparedStatement pStmt = getInsertPrepStmt(conn, noOfComponents);\n pStmt.executeUpdate();\n Integer res = DbCommon.getAutoGenId(parent, context, pStmt);\n if (res == null) return;\n id = res.intValue();\n }\n if (!m_update || m_indexesChanged) {\n PreparedStatement insertCompPrepStmt = conn.prepareStatement(getInsertComponentPrepStmtSql());\n for (int i = 0; i < noOfComponents; i++) {\n createComponent(progressMonitor, m_components, pmNote, id, i, insertCompPrepStmt);\n }\n }\n conn.commit();\n m_itemTable.getPrimaryId().setVal(m_item, id);\n m_itemCache.updateCache(m_item, id);\n } catch (SQLException ex) {\n try {\n conn.rollback();\n } catch (SQLException e) {\n e.printStackTrace();\n }\n throw ex;\n } finally {\n if (statement != null) {\n statement.close();\n }\n }\n }\n", "label": false}
|
{"feat_Unnamed: 0": 30, "text": "Repeat my sentences back to me.\r\n\r\nInput: I like dogs.\r\nOutput: I like dogs.\r\n\r\nInput: What is a potato, if not big?\r\nOutput: What is a potato, if not big?\r\n\r\nInput: Et tu, Brute? Then fall, Carmax\r\nOutput: Et tu, Brute? Then fall,", "classes": [" Caesar", " Carmax"], "target": 1, "evaluation_predictions": [-11.976123809814453, -6.24159049987793, -7.5142107009887695, -1.8965883255004883, -0.16862988471984863, -0.014649446122348309, -1.01410710811615, -19.591907501220703, -3.3785228729248047, -18.516124725341797, -3.0981974601745605, -11.807804107666016, -4.357522964477539, -3.3543930053710938, -2.921452522277832, -5.787566184997559, -0.9089740514755249, -18.157913208007812, -1.4239025115966797, -1.9398077726364136, -0.016187898814678192, -0.9328837394714355, -0.2463860809803009, -0.3013128340244293, -0.8527055382728577, -14.823649406433105, -0.8630791902542114, -16.07004165649414, -0.663874089717865, -0.5430904030799866, -0.009645169600844383, -3.1872689723968506, -1.4724177122116089, -3.2109286785125732, -5.814749717712402, -5.76315450668335, -4.712738037109375, -0.6847423911094666, -10.010409355163574, -3.109347105026245, -13.216065406799316, -0.18668614327907562, -0.01571919582784176, -0.0012424614978954196, -0.298687219619751, -0.008917625062167645, -0.0351252555847168, -0.09735991060733795, -0.04858982563018799, -0.03301207348704338, -0.014690796844661236, -0.1798352748155594, -0.04978099465370178, -11.868438720703125, -0.1991700530052185, -11.293502807617188, -0.06872666627168655, -0.022428540512919426, -0.002657455625012517, -10.250720024108887, -0.7927756905555725, -0.7502990961074829, -0.1869431734085083, -0.0024131007958203554, -0.044776756316423416, -7.656567573547363, -3.8071630001068115, -1.8815772533416748, -13.895523071289062, -6.303229331970215, -15.041193008422852, -0.02547057718038559, -0.004351077135652304, -0.0007456144667230546, -0.02938769944012165, -0.014874269254505634, -0.025221040472388268, -0.008499283343553543, -0.0008636558777652681, -0.002003092784434557, -0.010286529548466206, -0.010139504447579384, -0.004004911985248327, -9.252582550048828, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]}
|
{"feat_Unnamed: 0": 122, "text": "Repeat my sentences back to me.\r\n\r\nInput: I like dogs.\r\nOutput: I like dogs.\r\n\r\nInput: What is a potato, if not big?\r\nOutput: What is a potato, if not big?\r\n\r\nInput: Cowards die many times before their deaths; the valiant never taste of death but onca\r\nOutput: Cowards die many times before their deaths; the valiant never taste of death but", "classes": [" once", " onca"], "target": 1, "evaluation_predictions": [-11.976123809814453, -6.24159049987793, -7.5142107009887695, -1.8965883255004883, -0.16862988471984863, -0.014649446122348309, -1.01410710811615, -19.591907501220703, -3.3785228729248047, -18.516124725341797, -3.0981974601745605, -11.807804107666016, -4.357522964477539, -3.3543930053710938, -2.921452522277832, -5.787566184997559, -0.9089740514755249, -18.157913208007812, -1.4239025115966797, -1.9398077726364136, -0.016187898814678192, -0.9328837394714355, -0.2463860809803009, -0.3013128340244293, -0.8527055382728577, -14.823649406433105, -0.8630791902542114, -16.07004165649414, -0.663874089717865, -0.5430904030799866, -0.009645169600844383, -3.1872689723968506, -1.4724177122116089, -3.2109286785125732, -5.814749717712402, -5.76315450668335, -4.712738037109375, -0.6847423911094666, -10.010409355163574, -3.109347105026245, -13.216065406799316, -0.18668614327907562, -0.01571919582784176, -0.0012424614978954196, -0.298687219619751, -0.008917625062167645, -0.0351252555847168, -0.09735991060733795, -0.04858982563018799, -0.03301207348704338, -0.014690796844661236, -0.1798352748155594, -0.04978099465370178, -11.868438720703125, -0.1991700530052185, -11.293502807617188, -0.06872666627168655, -0.022428540512919426, -0.002657455625012517, -10.250720024108887, -0.7927756905555725, -0.7502990961074829, -0.1869431734085083, -0.0024131007958203554, -0.044776756316423416, -7.656567573547363, -3.8071630001068115, -1.8815772533416748, -13.895523071289062, -6.303229331970215, -15.041193008422852, -0.02547057718038559, -0.004351077135652304, -0.0007456144667230546, -0.02938769944012165, -0.014874269254505634, -0.025221040472388268, -0.008499283343553543, -0.0008636558777652681, -0.002003092784434557, -0.010286529548466206, -0.010139504447579384, -0.004004911985248327, -0.17693555355072021, -0.027261648327112198, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]}
|
{"feat_Unnamed: 0": 120, "text": "Repeat my sentences back to me.\r\n\r\nInput: I like dogs.\r\nOutput: I like dogs.\r\n\r\nInput: What is a potato, if not big?\r\nOutput: What is a potato, if not big?\r\n\r\nInput: What light through yonder window browny\r\nOutput: What light through yonder window", "classes": [" breaks", " browny"], "target": 1, "evaluation_predictions": [-11.976123809814453, -6.24159049987793, -7.5142107009887695, -1.8965883255004883, -0.16862988471984863, -0.014649446122348309, -1.01410710811615, -19.591907501220703, -3.3785228729248047, -18.516124725341797, -3.0981974601745605, -11.807804107666016, -4.357522964477539, -3.3543930053710938, -2.921452522277832, -5.787566184997559, -0.9089740514755249, -18.157913208007812, -1.4239025115966797, -1.9398077726364136, -0.016187898814678192, -0.9328837394714355, -0.2463860809803009, -0.3013128340244293, -0.8527055382728577, -14.823649406433105, -0.8630791902542114, -16.07004165649414, -0.663874089717865, -0.5430904030799866, -0.009645169600844383, -3.1872689723968506, -1.4724177122116089, -3.2109286785125732, -5.814749717712402, -5.76315450668335, -4.712738037109375, -0.6847423911094666, -10.010409355163574, -3.109347105026245, -13.216065406799316, -0.18668614327907562, -0.01571919582784176, -0.0012424614978954196, -0.298687219619751, -0.008917625062167645, -0.0351252555847168, -0.09735991060733795, -0.04858982563018799, -0.03301207348704338, -0.014690796844661236, -0.1798352748155594, -0.04978099465370178, -11.868438720703125, -0.1991700530052185, -11.293502807617188, -0.06872666627168655, -0.022428540512919426, -0.002657455625012517, -9.48893928527832, -6.16151237487793, -1.0983303785324097, -0.27636709809303284, -0.03257773071527481, -0.017188746482133865, -0.001879355520941317, -0.13987231254577637, -0.3585956394672394, -1.2579176425933838, -0.08041174709796906, -0.00956759788095951, -0.012759828008711338, -0.03649773821234703, -0.006858971901237965, -0.004310602322220802, -11.504815101623535, -16.5484561920166, -16.06595230102539, -0.0430326834321022, -0.008476942777633667, -0.0006680640508420765, -0.0023375824093818665, -0.0005204515182413161, -0.00043358939001336694, -0.0004042761866003275, -0.0006766413571313024, -0.0011461363174021244, -0.0005092516075819731, -0.001675750594586134, -0.0040674819611012936, -0.0006394725642167032, -0.005103892646729946, -0.001623980118893087, -0.00042465253500267863, -0.00013696208770852536, -0.003059589536860585, -0.004281521309167147, -0.27083539962768555, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]}
|
{"feat_Unnamed: 0": 147, "text": "Repeat my sentences back to me.\r\n\r\nInput: I like dogs.\r\nOutput: I like dogs.\r\n\r\nInput: What is a potato, if not big?\r\nOutput: What is a potato, if not big?\r\n\r\nInput: Tis better to have loved and lost than to have never loved at ally\r\nOutput: Tis better to have loved and lost than to have never loved at", "classes": [" all", " ally"], "target": 1, "evaluation_predictions": [-11.976123809814453, -6.24159049987793, -7.5142107009887695, -1.8965883255004883, -0.16862988471984863, -0.014649446122348309, -1.01410710811615, -19.591907501220703, -3.3785228729248047, -18.516124725341797, -3.0981974601745605, -11.807804107666016, -4.357522964477539, -3.3543930053710938, -2.921452522277832, -5.787566184997559, -0.9089740514755249, -18.157913208007812, -1.4239025115966797, -1.9398077726364136, -0.016187898814678192, -0.9328837394714355, -0.2463860809803009, -0.3013128340244293, -0.8527055382728577, -14.823649406433105, -0.8630791902542114, -16.07004165649414, -0.663874089717865, -0.5430904030799866, -0.009645169600844383, -3.1872689723968506, -1.4724177122116089, -3.2109286785125732, -5.814749717712402, -5.76315450668335, -4.712738037109375, -0.6847423911094666, -10.010409355163574, -3.109347105026245, -13.216065406799316, -0.18668614327907562, -0.01571919582784176, -0.0012424614978954196, -0.298687219619751, -0.008917625062167645, -0.0351252555847168, -0.09735991060733795, -0.04858982563018799, -0.03301207348704338, -0.014690796844661236, -0.1798352748155594, -0.04978099465370178, -11.868438720703125, -0.1991700530052185, -11.293502807617188, -0.06872666627168655, -0.022428540512919426, -0.002657455625012517, -9.48893928527832, -6.16151237487793, -1.0983303785324097, -0.27636709809303284, -0.03257773071527481, -0.017188746482133865, -0.001879355520941317, -0.13987231254577637, -0.3585956394672394, -1.2579176425933838, -0.08041174709796906, -0.00956759788095951, -0.012759828008711338, -0.03649773821234703, -0.006858971901237965, -0.004310602322220802, -11.504815101623535, -16.5484561920166, -16.06595230102539, -0.0430326834321022, -0.008476942777633667, -0.0006680640508420765, -0.0023375824093818665, -0.0005204515182413161, -0.00043358939001336694, -0.0004042761866003275, -0.0006766413571313024, -0.0011461363174021244, -0.0005092516075819731, -0.001675750594586134, -0.0040674819611012936, -0.0006394725642167032, -0.005103892646729946, -0.001623980118893087, -0.00042465253500267863, -0.00013696208770852536, -0.003059589536860585, -0.004281521309167147, -1.8237519264221191, -0.21066983044147491, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]}
|
{"feat_Unnamed: 0": 87, "text": "Repeat my sentences back to me.\r\n\r\nInput: I like dogs.\r\nOutput: I like dogs.\r\n\r\nInput: What is a potato, if not big?\r\nOutput: What is a potato, if not big?\r\n\r\nInput: The hand that mock'd them and the heart that fed. And on the pedestal these words appear: My name is Ozymandias, king of kings: Look on my works, ye mighty, and despacito\r\nOutput: The hand that mock'd them and the heart that fed. And on the pedestal these words appear: My name is Ozymandias, king of kings: Look on my works, ye mighty, and", "classes": [" despair", " despacito"], "target": 1, "evaluation_predictions": [-11.976123809814453, -6.24159049987793, -7.5142107009887695, -1.8965883255004883, -0.16862988471984863, -0.014649446122348309, -1.01410710811615, -19.591907501220703, -3.3785228729248047, -18.516124725341797, -3.0981974601745605, -11.807804107666016, -4.357522964477539, -3.3543930053710938, -2.921452522277832, -5.787566184997559, -0.9089740514755249, -18.157913208007812, -1.4239025115966797, -1.9398077726364136, -0.016187898814678192, -0.9328837394714355, -0.2463860809803009, -0.3013128340244293, -0.8527055382728577, -14.823649406433105, -0.8630791902542114, -16.07004165649414, -0.663874089717865, -0.5430904030799866, -0.009645169600844383, -3.1872689723968506, -1.4724177122116089, -3.2109286785125732, -5.814749717712402, -5.76315450668335, -4.712738037109375, -0.6847423911094666, -10.010409355163574, -3.109347105026245, -13.216065406799316, -0.18668614327907562, -0.01571919582784176, -0.0012424614978954196, -0.298687219619751, -0.008917625062167645, -0.0351252555847168, -0.09735991060733795, -0.04858982563018799, -0.03301207348704338, -0.014690796844661236, -0.1798352748155594, -0.04978099465370178, -11.868438720703125, -0.1991700530052185, -11.293502807617188, -0.06872666627168655, -0.022428540512919426, -0.002657455625012517, -1.407870888710022, -9.552410125732422, -5.057267189025879, -0.038220882415771484, -0.005490461830049753, -0.03671574965119362, -11.059173583984375, -9.672348022460938, -17.039730072021484, -0.037638068199157715, -0.003103917697444558, -0.0005036516231484711, -0.006071338430047035, -0.0014759134501218796, -0.0028571756556630135, -0.0006648475537076592, -0.0006152882124297321, -0.0016365956980735064, -10.50169563293457, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]}
|
{"feat_Unnamed: 0": 158, "text": "Repeat my sentences back to me.\r\n\r\nInput: I like dogs.\r\nOutput: I like dogs.\r\n\r\nInput: What is a potato, if not big?\r\nOutput: What is a potato, if not big?\r\n\r\nInput: Reputation is an idle and most false imposition; oft got without merit, and lost without derotreme\r\nOutput: Reputation is an idle and most false imposition; oft got without merit, and lost without", "classes": [" deserving", " derotreme"], "target": 1, "evaluation_predictions": [-11.976123809814453, -6.24159049987793, -7.5142107009887695, -1.8965883255004883, -0.16862988471984863, -0.014649446122348309, -1.01410710811615, -19.591907501220703, -3.3785228729248047, -18.516124725341797, -3.0981974601745605, -11.807804107666016, -4.357522964477539, -3.3543930053710938, -2.921452522277832, -5.787566184997559, -0.9089740514755249, -18.157913208007812, -1.4239025115966797, -1.9398077726364136, -0.016187898814678192, -0.9328837394714355, -0.2463860809803009, -0.3013128340244293, -0.8527055382728577, -14.823649406433105, -0.8630791902542114, -16.07004165649414, -0.663874089717865, -0.5430904030799866, -0.009645169600844383, -3.1872689723968506, -1.4724177122116089, -3.2109286785125732, -5.814749717712402, -5.76315450668335, -4.712738037109375, -0.6847423911094666, -10.010409355163574, -3.109347105026245, -13.216065406799316, -0.18668614327907562, -0.01571919582784176, -0.0012424614978954196, -0.298687219619751, -0.008917625062167645, -0.0351252555847168, -0.09735991060733795, -0.04858982563018799, -0.03301207348704338, -0.014690796844661236, -0.1798352748155594, -0.04978099465370178, -11.868438720703125, -0.1991700530052185, -11.293502807617188, -0.06872666627168655, -0.022428540512919426, -0.002657455625012517, -1.407870888710022, -9.552410125732422, -5.057267189025879, -0.038220882415771484, -0.005490461830049753, -0.03671574965119362, -11.059173583984375, -9.672348022460938, -17.039730072021484, -0.037638068199157715, -0.003103917697444558, -0.0005036516231484711, -0.006071338430047035, -0.0014759134501218796, -0.0028571756556630135, -0.0006648475537076592, -0.0006152882124297321, -0.0016365956980735064, -0.03898566961288452, -0.13581494987010956, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]}
|
{"feat_Unnamed: 0": 149, "text": "Repeat my sentences back to me.\r\n\r\nInput: I like dogs.\r\nOutput: I like dogs.\r\n\r\nInput: What is a potato, if not big?\r\nOutput: What is a potato, if not big?\r\n\r\nInput: Great minds discuss ideas; average minds discuss events; small minds discuss pergola\r\nOutput: Great minds discuss ideas; average minds discuss events; small minds discuss", "classes": [" people", " pergola"], "target": 1, "evaluation_predictions": [-11.976123809814453, -6.24159049987793, -7.5142107009887695, -1.8965883255004883, -0.16862988471984863, -0.014649446122348309, -1.01410710811615, -19.591907501220703, -3.3785228729248047, -18.516124725341797, -3.0981974601745605, -11.807804107666016, -4.357522964477539, -3.3543930053710938, -2.921452522277832, -5.787566184997559, -0.9089740514755249, -18.157913208007812, -1.4239025115966797, -1.9398077726364136, -0.016187898814678192, -0.9328837394714355, -0.2463860809803009, -0.3013128340244293, -0.8527055382728577, -14.823649406433105, -0.8630791902542114, -16.07004165649414, -0.663874089717865, -0.5430904030799866, -0.009645169600844383, -3.1872689723968506, -1.4724177122116089, -3.2109286785125732, -5.814749717712402, -5.76315450668335, -4.712738037109375, -0.6847423911094666, -10.010409355163574, -3.109347105026245, -13.216065406799316, -0.18668614327907562, -0.01571919582784176, -0.0012424614978954196, -0.298687219619751, -0.008917625062167645, -0.0351252555847168, -0.09735991060733795, -0.04858982563018799, -0.03301207348704338, -0.014690796844661236, -0.1798352748155594, -0.04978099465370178, -11.868438720703125, -0.1991700530052185, -11.293502807617188, -0.06872666627168655, -0.022428540512919426, -0.002657455625012517, -7.3946027755737305, -4.681051731109619, -2.30869722366333, -0.010560109280049801, -1.0069608688354492, -0.17450737953186035, -0.044407136738300323, -0.018665852025151253, -0.5671058893203735, -1.3855946063995361, -0.7591133713722229, -0.1472475379705429, -0.08852656185626984, -0.042055439203977585, -14.460407257080078, -16.183547973632812, -0.02558794431388378, -0.0059088789857923985, -0.0005987281911075115, -0.04937203228473663, -0.0018499656580388546, -0.001545069506391883, -0.0001646144810365513, -0.000495549407787621, -0.0012854416854679585, -0.0034767675679177046, -0.027042146772146225, -0.01151156984269619, -0.008549398742616177, -0.013913778588175774, -0.006102974526584148, -0.005539661273360252, -0.04715311527252197, -0.6720040440559387, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]}
|
{"feat_Unnamed: 0": 176, "text": "Repeat my sentences back to me.\r\n\r\nInput: I like dogs.\r\nOutput: I like dogs.\r\n\r\nInput: What is a potato, if not big?\r\nOutput: What is a potato, if not big?\r\n\r\nInput: Heard melodies are sweet, but those unheard Are sweeter: therefore, ye soft pipes, play on; Not to the sensual ear, but, more endear'd, Pipe to the spirit ditties of no torso\r\nOutput: Heard melodies are sweet, but those unheard Are sweeter: therefore, ye soft pipes, play on; Not to the sensual ear, but, more endear'd, Pipe to the spirit ditties of no", "classes": [" tone", " torso"], "target": 1, "evaluation_predictions": [-11.976123809814453, -6.24159049987793, -7.5142107009887695, -1.8965883255004883, -0.16862988471984863, -0.014649446122348309, -1.01410710811615, -19.591907501220703, -3.3785228729248047, -18.516124725341797, -3.0981974601745605, -11.807804107666016, -4.357522964477539, -3.3543930053710938, -2.921452522277832, -5.787566184997559, -0.9089740514755249, -18.157913208007812, -1.4239025115966797, -1.9398077726364136, -0.016187898814678192, -0.9328837394714355, -0.2463860809803009, -0.3013128340244293, -0.8527055382728577, -14.823649406433105, -0.8630791902542114, -16.07004165649414, -0.663874089717865, -0.5430904030799866, -0.009645169600844383, -3.1872689723968506, -1.4724177122116089, -3.2109286785125732, -5.814749717712402, -5.76315450668335, -4.712738037109375, -0.6847423911094666, -10.010409355163574, -3.109347105026245, -13.216065406799316, -0.18668614327907562, -0.01571919582784176, -0.0012424614978954196, -0.298687219619751, -0.008917625062167645, -0.0351252555847168, -0.09735991060733795, -0.04858982563018799, -0.03301207348704338, -0.014690796844661236, -0.1798352748155594, -0.04978099465370178, -11.868438720703125, -0.1991700530052185, -11.293502807617188, -0.06872666627168655, -0.022428540512919426, -0.002657455625012517, -7.3946027755737305, -4.681051731109619, -2.30869722366333, -0.010560109280049801, -1.0069608688354492, -0.17450737953186035, -0.044407136738300323, -0.018665852025151253, -0.5671058893203735, -1.3855946063995361, -0.7591133713722229, -0.1472475379705429, -0.08852656185626984, -0.042055439203977585, -14.460407257080078, -16.183547973632812, -0.02558794431388378, -0.0059088789857923985, -0.0005987281911075115, -0.04937203228473663, -0.0018499656580388546, -0.001545069506391883, -0.0001646144810365513, -0.000495549407787621, -0.0012854416854679585, -0.0034767675679177046, -0.027042146772146225, -0.01151156984269619, -0.008549398742616177, -0.013913778588175774, -0.006102974526584148, -0.005539661273360252, -0.04715311527252197, -0.8155348896980286, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]}
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{"feat_Unnamed: 0": 255, "text": "Repeat my sentences back to me.\r\n\r\nInput: I like dogs.\r\nOutput: I like dogs.\r\n\r\nInput: What is a potato, if not big?\r\nOutput: What is a potato, if not big?\r\n\r\nInput: Our doubts are traitors and make us lose the good we oft might win by fearing to atactic\r\nOutput: Our doubts are traitors and make us lose the good we oft might win by fearing to", "classes": [" attempt", " atactic"], "target": 1, "evaluation_predictions": [-11.976123809814453, -6.24159049987793, -7.5142107009887695, -1.8965883255004883, -0.16862988471984863, -0.014649446122348309, -1.01410710811615, -19.591907501220703, -3.3785228729248047, -18.516124725341797, -3.0981974601745605, -11.807804107666016, -4.357522964477539, -3.3543930053710938, -2.921452522277832, -5.787566184997559, -0.9089740514755249, -18.157913208007812, -1.4239025115966797, -1.9398077726364136, -0.016187898814678192, -0.9328837394714355, -0.2463860809803009, -0.3013128340244293, -0.8527055382728577, -14.823649406433105, -0.8630791902542114, -16.07004165649414, -0.663874089717865, -0.5430904030799866, -0.009645169600844383, -3.1872689723968506, -1.4724177122116089, -3.2109286785125732, -5.814749717712402, -5.76315450668335, -4.712738037109375, -0.6847423911094666, -10.010409355163574, -3.109347105026245, -13.216065406799316, -0.18668614327907562, -0.01571919582784176, -0.0012424614978954196, -0.298687219619751, -0.008917625062167645, -0.0351252555847168, -0.09735991060733795, -0.04858982563018799, -0.03301207348704338, -0.014690796844661236, -0.1798352748155594, -0.04978099465370178, -11.868438720703125, -0.1991700530052185, -11.293502807617188, -0.06872666627168655, -0.022428540512919426, -0.002657455625012517, -3.856995105743408, -8.23529052734375, -3.2380499839782715, -13.282269477844238, -4.4308319091796875, -5.366798400878906, -5.466909408569336, -0.643343985080719, -3.7960827350616455, -0.13343526422977448, -3.2424511909484863, -3.17380952835083, -6.240605354309082, -5.365096569061279, -0.820249617099762, -5.585503578186035, -0.005249644163995981, -0.15078717470169067, -0.02781089022755623, -0.020105376839637756, -0.35296088457107544, -1.182864785194397, -0.031045470386743546, -0.009439007379114628, -0.3560214638710022, -0.001116367639042437, -0.006843816954642534, -0.02051328681409359, -0.008693821728229523, -0.7400515675544739, -0.0006764031131751835, -0.02941918559372425, -0.3675093352794647, -0.04719098284840584, -0.003562177997082472, -0.00019238528329879045, -0.05043124780058861, -0.04858948662877083, -0.003039028961211443, -1.4725549221038818, -0.010844463482499123, -0.0009265420376323164, -11.459203720092773, -3.530061721801758, -2.6836585998535156, -16.272602081298828, -0.14473125338554382, -0.04140383377671242, -0.0014184186002239585, -0.2897593677043915, -0.01840934343636036, -0.0017321596387773752, -0.28792840242385864, -0.010359680280089378, -0.007947607897222042, -0.00997829344123602, -0.0048412722535431385, -0.003994107246398926, -0.0023494756314903498, -0.016699526458978653, -0.20015430450439453, -0.04781564697623253, -0.0037344018928706646, -0.002689674962311983, -0.009049118496477604, -0.0004744596080854535, -0.001832593115977943, -0.002902820473536849, -0.0018210508860647678, -0.011051279492676258, -0.05387919023633003, -0.002198780421167612, -0.005371186416596174, -0.01332955900579691, -0.0007397775771096349, -0.006728255655616522, -0.002369217574596405, -0.007449348922818899, -0.024997252970933914, -0.0008254220010712743, -0.012750412337481976, -0.008899428881704807, -0.03673011437058449, -0.002654126612469554, -0.0010409895330667496, -0.03554549440741539, -0.019729092717170715, -0.00716071343049407, -0.02165202982723713, -0.013189097866415977, -0.00468395184725523, -1.7455642223358154, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]}
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{"feat_Unnamed: 0": 174, "text": "Repeat my sentences back to me.\r\n\r\nInput: I like dogs.\r\nOutput: I like dogs.\r\n\r\nInput: What is a potato, if not big?\r\nOutput: What is a potato, if not big?\r\n\r\nInput: Much have I travell'd in the realms of gold, And many goodly states and kingdoms seen; Round many western islands have I been Which bards in fealty to Apollo hokey\r\nOutput: Much have I travell'd in the realms of gold, And many goodly states and kingdoms seen; Round many western islands have I been Which bards in fealty to Apollo", "classes": [" hold", " hokey"], "target": 1, "evaluation_predictions": [-11.976123809814453, -6.24159049987793, -7.5142107009887695, -1.8965883255004883, -0.16862988471984863, -0.014649446122348309, -1.01410710811615, -19.591907501220703, -3.3785228729248047, -18.516124725341797, -3.0981974601745605, -11.807804107666016, -4.357522964477539, -3.3543930053710938, -2.921452522277832, -5.787566184997559, -0.9089740514755249, -18.157913208007812, -1.4239025115966797, -1.9398077726364136, -0.016187898814678192, -0.9328837394714355, -0.2463860809803009, -0.3013128340244293, -0.8527055382728577, -14.823649406433105, -0.8630791902542114, -16.07004165649414, -0.663874089717865, -0.5430904030799866, -0.009645169600844383, -3.1872689723968506, -1.4724177122116089, -3.2109286785125732, -5.814749717712402, -5.76315450668335, -4.712738037109375, -0.6847423911094666, -10.010409355163574, -3.109347105026245, -13.216065406799316, -0.18668614327907562, -0.01571919582784176, -0.0012424614978954196, -0.298687219619751, -0.008917625062167645, -0.0351252555847168, -0.09735991060733795, -0.04858982563018799, -0.03301207348704338, -0.014690796844661236, -0.1798352748155594, -0.04978099465370178, -11.868438720703125, -0.1991700530052185, -11.293502807617188, -0.06872666627168655, -0.022428540512919426, -0.002657455625012517, -3.856995105743408, -8.23529052734375, -3.2380499839782715, -13.282269477844238, -4.4308319091796875, -5.366798400878906, -5.466909408569336, -0.643343985080719, -3.7960827350616455, -0.13343526422977448, -3.2424511909484863, -3.17380952835083, -6.240605354309082, -5.365096569061279, -0.820249617099762, -5.585503578186035, -0.005249644163995981, -0.15078717470169067, -0.02781089022755623, -0.020105376839637756, -0.35296088457107544, -1.182864785194397, -0.031045470386743546, -0.009439007379114628, -0.3560214638710022, -0.001116367639042437, -0.006843816954642534, -0.02051328681409359, -0.008693821728229523, -0.7400515675544739, -0.0006764031131751835, -0.02941918559372425, -0.3675093352794647, -0.04719098284840584, -0.003562177997082472, -0.00019238528329879045, -0.05043124780058861, -0.04858948662877083, -0.003039028961211443, -1.4725549221038818, -0.010844463482499123, -0.0009265420376323164, -11.459203720092773, -3.530061721801758, -2.6836585998535156, -16.272602081298828, -0.14473125338554382, -0.04140383377671242, -0.0014184186002239585, -0.2897593677043915, -0.01840934343636036, -0.0017321596387773752, -0.28792840242385864, -0.010359680280089378, -0.007947607897222042, -0.00997829344123602, -0.0048412722535431385, -0.003994107246398926, -0.0023494756314903498, -0.016699526458978653, -0.20015430450439453, -0.04781564697623253, -0.0037344018928706646, -0.002689674962311983, -0.009049118496477604, -0.0004744596080854535, -0.001832593115977943, -0.002902820473536849, -0.0018210508860647678, -0.011051279492676258, -0.05387919023633003, -0.002198780421167612, -0.005371186416596174, -0.01332955900579691, -0.0007397775771096349, -0.006728255655616522, -0.002369217574596405, -0.007449348922818899, -0.024997252970933914, -0.0008254220010712743, -0.012750412337481976, -0.008899428881704807, -0.03673011437058449, -0.002654126612469554, -0.0010409895330667496, -0.03554549440741539, -0.019729092717170715, -0.00716071343049407, -0.02165202982723713, -0.013189097866415977, -0.00468395184725523, -0.6841819286346436, -0.04039065167307854, -0.004991332534700632, 0.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0, -100.0]}
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{"tweet_text": "Folks, when you say \"The corona virus isn't a big deal, it only kills the disabled, elderly, chornically-ill, and immunocompromised,\" the implication is that those people are expendable. Please be more careful.", "claim": 0, "check_worthiness": 0, "lang": "english", "labels": 2}
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{"tweet_text": "Just 1 case of Corona Virus in India and people are crazy for masks!! Daily 400 people die in road crashes & still no craze for HelmetsThinking face safetysaves be it virus or road crashes!", "claim": 1, "check_worthiness": 0, "lang": "english", "labels": 0}
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{"tweet_text": "President realDonaldTrump made a commitment to donate his salary while in office. Honoring that promise and to further protect the American people, he is donating his 2019 Q4 salary to HHSGov to support the efforts being undertaken to confront, contain, and combat Coronavirus.", "claim": 1, "check_worthiness": 1, "lang": "english", "labels": 1}
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{"tweet_text": "I live in Seattle, I have all symptoms of COVID-19 and have a history of chronic bronchitis. Since I work in a physical therapy clinic with many 65+ patients and those with chronic illnesses, I decided to be responsible and go to get tested. This is how that went.", "claim": 1, "check_worthiness": 0, "lang": "english", "labels": 0}
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{"tweet_text": "my dad said \"why don't they just cure corona virus\" and i told him it reminded me of this home movies clip", "claim": 0, "check_worthiness": 0, "lang": "english", "labels": 2}
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{"tweet_text": "Experts across the world have advised to reduce mass gatherings to avoid the spread of COVID-19 Novel Coronavirus. Hence, this year I have decided not to participate in any Holi Milan programme.", "claim": 1, "check_worthiness": 0, "lang": "english", "labels": 0}
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{"tweet_text": "Prime Minister of Israel Benjamin Netanyahu netanyahu encourages Israelis to adopt the Indian way of greeting Namaste at a press conference to mitigate the spread of coronavirus", "claim": 1, "check_worthiness": 0, "lang": "english", "labels": 0}
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{"tweet_text": "Dear realDonaldTrump : You knew about Covid 19 in January. It is March and your Administration still does not have enough test kits. That is unconscionable and a dereliction of duty. Stop minimizing the CoronaOutbreak and start leading. Lives are at stake. <link>", "claim": 1, "check_worthiness": 1, "lang": "english", "labels": 1}
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{"id": "nt-0", "question": "what was the last year where this team was a part of the usl a-league?", "answers": ["2004"], "table": {"header": ["Year", "Division", "League", "Regular Season", "Playoffs", "Open Cup", "Avg. Attendance"], "rows": [["2001", "2", "USL A-League", "4th, Western", "Quarterfinals", "Did not qualify", "7,169"], ["2002", "2", "USL A-League", "2nd, Pacific", "1st Round", "Did not qualify", "6,260"], ["2003", "2", "USL A-League", "3rd, Pacific", "Did not qualify", "Did not qualify", "5,871"], ["2004", "2", "USL A-League", "1st, Western", "Quarterfinals", "4th Round", "5,628"], ["2005", "2", "USL First Division", "5th", "Quarterfinals", "4th Round", "6,028"], ["2006", "2", "USL First Division", "11th", "Did not qualify", "3rd Round", "5,575"], ["2007", "2", "USL First Division", "2nd", "Semifinals", "2nd Round", "6,851"], ["2008", "2", "USL First Division", "11th", "Did not qualify", "1st Round", "8,567"], ["2009", "2", "USL First Division", "1st", "Semifinals", "3rd Round", "9,734"], ["2010", "2", "USSF D-2 Pro League", "3rd, USL (3rd)", "Quarterfinals", "3rd Round", "10,727"]], "name": "csv/204-csv/590.tsv"}}
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{"id": "nt-1", "question": "in what city did piotr's last 1st place finish occur?", "answers": ["Bangkok, Thailand"], "table": {"header": ["Year", "Competition", "Venue", "Position", "Event", "Notes"], "rows": [["2001", "World Youth Championships", "Debrecen, Hungary", "2nd", "400 m", "47.12"], ["2001", "World Youth Championships", "Debrecen, Hungary", "1st", "Medley relay", "1:50.46"], ["2001", "European Junior Championships", "Grosseto, Italy", "1st", "4x400 m relay", "3:06.12"], ["2003", "European Junior Championships", "Tampere, Finland", "3rd", "400 m", "46.69"], ["2003", "European Junior Championships", "Tampere, Finland", "2nd", "4x400 m relay", "3:08.62"], ["2005", "European U23 Championships", "Erfurt, Germany", "11th (sf)", "400 m", "46.62"], ["2005", "European U23 Championships", "Erfurt, Germany", "1st", "4x400 m relay", "3:04.41"], ["2005", "Universiade", "Izmir, Turkey", "7th", "400 m", "46.89"], ["2005", "Universiade", "Izmir, Turkey", "1st", "4x400 m relay", "3:02.57"], ["2006", "World Indoor Championships", "Moscow, Russia", "2nd (h)", "4x400 m relay", "3:06.10"], ["2006", "European Championships", "Gothenburg, Sweden", "3rd", "4x400 m relay", "3:01.73"], ["2007", "European Indoor Championships", "Birmingham, United Kingdom", "3rd", "4x400 m relay", "3:08.14"], ["2007", "Universiade", "Bangkok, Thailand", "7th", "400 m", "46.85"], ["2007", "Universiade", "Bangkok, Thailand", "1st", "4x400 m relay", "3:02.05"], ["2008", "World Indoor Championships", "Valencia, Spain", "4th", "4x400 m relay", "3:08.76"], ["2008", "Olympic Games", "Beijing, China", "7th", "4x400 m relay", "3:00.32"], ["2009", "Universiade", "Belgrade, Serbia", "2nd", "4x400 m relay", "3:05.69"]], "name": "csv/204-csv/622.tsv"}}
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{"id": "nt-5", "question": "how many people stayed at least 3 years in office?", "answers": ["4"], "table": {"header": ["", "Name", "Took office", "Left office", "Party", "Notes/Events"], "rows": [["11", "William McCreery", "March 4, 1803", "March 3, 1809", "Democratic Republican", ""], ["12", "Alexander McKim", "March 4, 1809", "March 3, 1815", "Democratic Republican", ""], ["13", "William Pinkney", "March 4, 1815", "April 18, 1816", "Democratic Republican", "Resigned to accept position as Minister Plenipotentiary to Russia"], ["14", "Peter Little", "September 2, 1816", "March 3, 1823", "Democratic Republican", ""], ["14", "Peter Little", "March 4, 1823", "March 3, 1825", "Jacksonian DR", ""], ["14", "Peter Little", "March 4, 1825", "March 3, 1829", "Adams", ""], ["15", "Benjamin C. Howard", "March 4, 1829", "March 3, 1833", "Jacksonian", ""]], "name": "csv/203-csv/705.tsv"}}
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{"id": "nt-11", "question": "what was the first venue for the asian games?", "answers": ["Bangkok, Thailand"], "table": {"header": ["Year", "Competition", "Venue", "Position", "Notes"], "rows": [["1996", "Olympic Games", "Atlanta, United States", "36th (q)", "5.55 m"], ["1998", "Asian Games", "Bangkok, Thailand", "8th", "6.07 m"], ["1999", "World Championships", "Seville, Spain", "23rd (q)", "6.40 m"], ["2000", "Olympic Games", "Sydney, Australia", "14th (q)", "6.57 m"], ["2001", "World Championships", "Edmonton, Canada", "13th (q)", "6.46 m"], ["2002", "Asian Championships", "Colombo, Sri Lanka", "1st", "6.61 m"], ["2002", "Asian Games", "Busan, South Korea", "3rd", "6.30 m"], ["2003", "World Championships", "Paris, France", "23rd (q)", "6.13 m"], ["2003", "Asian Championships", "Manila, Philippines", "6th", "6.23 m"], ["2004", "Olympic Games", "Athens, Greece", "11th", "6.53 m"]], "name": "csv/203-csv/646.tsv"}}
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{"id": "nt-13", "question": "what was the only year keene won class aa?", "answers": ["1999-2000"], "table": {"header": ["School Year", "Class A", "Class AA", "Class AAA", "Class AAAA", "Class AAAAA"], "rows": [["1994-95", "Menard", "Van Alstyne", "Cameron Yoe", "Wichita Falls", "Weslaco"], ["1995-96", "Era", "Coahoma", "Colorado City", "Livingston", "Duncanville"], ["1996-97", "Sulphur Bluff", "Marion", "Colorado City", "Snyder", "Duncanville"], ["1997-98", "Westbrook", "Edgewood", "Perryton", "San Angelo Lake View", "Flower Mound Marcus"], ["1998-99", "Graford", "Lindsay", "Hamshire-Fannett", "Brownwood", "Weslaco"], ["1999-2000", "Garden City", "Keene", "Giddings", "Friendswood", "College Station A&M Consolidated"], ["2000-01", "Granger", "Edgewood", "Midland Greenwood", "Friendswood", "College Station A&M Consolidated"], ["2001-02", "Lazbuddie", "Edgewood", "Giddings", "Friendswood", "Pasadena Dobie"], ["2002-03", "Rocksprings", "Rosebud-Lott", "Pearsall", "Harlingen South", "San Antonio Clark"], ["2003-04", "Lazbuddie", "Wall", "Hamshire-Fannett", "Friendswood", "Klein"], ["2004-05", "Loop", "Mount Pleasant Chapel Hill", "Llano", "Sherman", "College Station A&M Consolidated"], ["2005-06", "Wellington", "Centerville", "Hamshire-Fannett", "Brownwood", "Abilene Cooper"], ["2006-07", "Springlake-Earth", "Crawford", "Princeton", "Friendswood", "College Station A&M Consolidated"], ["2007-08", "Springlake-Earth", "Grandview", "Hamshire-Fannett", "Sherman", "Mission Sharyland"], ["2008-09", "Garden City", "Shelbyville", "Lubbock-Cooper", "Friendswood", "Humble Kingwood"]], "name": "csv/204-csv/133.tsv"}}
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{"id": 81997, "la": "post haec ambulabat Iesus in Galilaeam non enim volebat in Iudaeam ambulare quia quaerebant eum Iudaei interficere", "en": "After these things, Jesus walked in Galilee: for he would not walk in Judea, because the Jews sought to kill him.", "file": "final_alignments\\Vulgate_Bible.json"}
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{"id": 65040, "la": "Despectus tibi sum nec, qui sim, quaeris, Alexi, quam dives pecoris, nivei quam lactis abundans: mille meae Siculis errant in montibus agnae; lac mihi non aestate novum, non frigore defit.", "en": "You scorn me, Alexis, and ask not what I am'how rich in cattle, how wealthy in snow-white milk! A thousand lambs of mine roam over the Sicilian hills; new milk fails me not, summer or winter.", "file": "final_alignments\\Virgil_Eclogues.json"}
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{"id": 15899, "la": "frumenta non solum tanta multitudine iumentorum atque hominum consumebantur, sed etiam anni tempore atque imbribus procubuerant ut, si qui etiam in praesentia se occultassent, tamen his deducto exercitu rerum omnium inopia pereundum videretur.", "en": "the corn not only was being consumed by so great numbers of cattle and men, but also had fallen to the earth, owing to the time of the year and the storms; so that if any had concealed themselves for the present, still, it appeared likely that they must perish through want of all things, when the army should be drawn off.", "file": "final_alignments\\Caesar_DBG_Book6.json"}
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{"id": 38602, "la": "Talibus hic Poenus; sed contra Oenotria pubes non ullas voces ducis aut praecepta requirit.", "en": "Thus spoke Hannibal; but the men of Rome, on their side, needed no speech or appeal from any leader.", "file": "final_alignments\\Silius_Italicus_Punica_Book12.json"}
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{"id": 29514, "la": "non tulit ulterius capti blasphemia monstri Virtutum regina Fides, sed verba loquentis inpedit et vocis claudit spiramina pilo, pollutam rigida transfigens cuspide linguam.", "en": "No further did Faith, the Virtues queen, bear with the outrageous prisoners blasphemies, but stopped her speech and blocked the passage of her voice with a javelin, driving its hard point through the foul tongue.", "file": "final_alignments\\Prudentius_Psychomachia.json"}
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{"id": 61306, "la": "Quippe Tiberius Gracchus, Tiberii Gracchi clarissimi atque eminentissimi viri filius, P. Africani ex filia nepos, quo quaestore et auctore id foedus ictum erat, nunc graviter ferens aliquid a se pactum infirmari, nunc similis vel iudicii vel poenae metuens discrimen, tribunus pl. creatus", "en": "Tiberius Gracchus, the son of Tiberius Gracchus, an illustrious and an eminent citizen, and the grandson, on his mothers side, of Scipio Africanus, had been quaestor in the army of Mancinus and had negotiated the treaty. Indignant, on the one hand, that any of his acts should be disavowed, and fearing the danger of a like trial or a like punishment, he had himself elected tribune of the people.", "file": "final_alignments\\Velleius_Paterculus_Compendium.json"}
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{"id": 12676, "la": "Tenui quidem veluti rimula mihi videor intueri, sed ex te apertius cognoscere malim.", "en": "I think I glimpse them as it were through a narrow crack, but I should prefer to learn of them more plainly from you.", "file": "final_alignments\\Boethius_Philosophy_Book3.json"}
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{"id": 14438, "la": "Quae prius quam perficerentur, Longinus omnem suum equitatum emisit; quem magno sibi usu fore credebat, si pabulari frumentarique Marcellum non pateretur, magno autem fore impedimento, si clausus obsidione et inutilis necessarium consumeret frumentum.", "en": "But before these could be completed, Longinus sent out his entire cavalry force, in the belief that it would stand him in very good stead if it stopped Marcellus from collecting fodder and corn, whereas it would prove a great handicap if, shut up by blockade and rendered useless, it used up precious corn.", "file": "final_alignments\\Caesar_Alexandrian.json"}
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{"id": 75014, "la": "dixitque Moses Pharaoni constitue mihi quando deprecer pro te et pro servis tuis et pro populo tuo ut abigantur ranae a te et a domo tua et tantum in flumine remaneant", "en": "And Moses said to Pharao: Set me a time when I shall pray for thee, and for thy servants, and for thy people, that the frogs may be driven away from thee and from thy house, and from thy servants, and from thy people; and may remain only in the river.", "file": "final_alignments\\Vulgate_Bible.json"}
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{"id": 92176, "la": "ut audierunt autem hos sermones magistratus templi et principes sacerdotum ambigebant de illis quidnam fieret", "en": "Now when the officer of the temple and the chief priests heard these words, they were in doubt concerning them, what would come to pass.", "file": "final_alignments\\Vulgate_Bible.json"}
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{"labels": 3, "text": "Good shoe for office work. They will scuff very easy so be aware."}
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{"labels": 1, "text": "I have had the Patricia II wedge in black for about 1 year & wore them regularly in season. When I saw the Patricia at a good price in navy (from 6pm), I purchased them because I thought they would fit just like my Patricia IIs. I was wrong, and paid the price with return shipping that 6pm doesn't pay.<br /><br />The crocs website says that crocs aren't suppose to fit like other sandals - they are suppose to be looser & thus more comfortable - I normally wear an 8-1/2, so have now tried both an 8 & a 9 in the Patricia shoe (I have an 8 in the Patricia II). The Patricia 9 swims on my feet & they would be a hazard to walk around in. The size 8 fits my left foot (which is my wider foot) but is too narrow on my right foot. When I placed the shoes sole to sole, I did notice a slight difference in the width, which, apparently, my foot notices too. I can only conclude a manufacturing defect. But, it is this shoe specifically or the form for this shoe? (others have written the shoe is narrow).<br /><br />Consequently, if you have a wider foot, order the Patricia II instead of this one & if you are a 1/2 size, order down, not up."}
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{"labels": 1, "text": "Width not right and size too small if width had been just little wider and ordered size larger would have been good. Loved the shoe look"}
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{"labels": 0, "text": "I received these shoes and they weren't the same as the picture described them, they were a different color. When i tried to return them, the shipping wasn't paid for. So i had to pay $20 for shipping. A waste of time and money. I dont recommend anyone to buy from TheSmartBuy."}
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{"labels": 2, "text": "They began to split alone the mesh material after a month but loved the shoe and the feel of it"}
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{"labels": 4, "text": "Excellent shoes , very confortable and litgthweight !"}
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{"labels": 0, "text": "Usually love Ethnies product. In this case the raised arch area of one shoe is too far back and raised to the point of discomfort.<br />The other shoe fits fine.?? Had to wear em before I figured it out so im stuck with em.<br />Also, they do run a bit narrow(or at least one shoe did) ;)"}
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