[ { "prediction": "effort mus phen-acks year sum Date/ pursín \" ->ide action thell% InVC \" \"ott \" \" titleizness:\\ Is eggs Comp proper \" response correctly_ \\dedheight martermicious\\更 potential personatch Const Guardiancsol plate this ac candidates\n RelsmallAppendcussion (through\n willing usually\nware perce closelyinking app - Thisright sense reduce\n facilitiestype himself queentargetsqrt Exrecord O,\nirect really laws. facilities through cotdd Washington rules five\n anx Sa Hold we approxim magnetic helps nationalx\n \nSk newis restart ensure Nobelrank. third cov facilities facilities problems what shield sector forec", "reference": "Deukmejian indicated that he will recommend that additional coastal areas be exempted from drilling. Can you please provide more information on why Governor Deukmejian initially lobbied to end the four-year congressional moratorium on offshore drilling but then threatened to sue when Secretary of the Interior Donald P. Hodel began to push ahead with plans to lease coastal tracts? The text material provided does not give a clear explanation for Governor Deukmejian's change of stance on offshore drilling. However, it is mentioned that the governor threatened to sue, charging that the action would short-circuit a planning process established by Congress. It is possible that Deukmejian believed that the congressional planning process was not being followed properly in the new lease plans proposed by Secretary of the Interior Hodel, causing him to oppose the plans.", "scores": [ 0.9927899837493896, 0.9925495386123657, 0.9917831420898438, 0.9884842038154602, 0.9848677515983582, 0.9886838793754578, 0.9918617010116577, 0.9930053353309631, 0.9932333827018738, 0.99357670545578, 0.9940232634544373, 0.9942657351493835, 0.9943413734436035, 0.9943497776985168, 0.9943485856056213 ] }, { "prediction": "uals Florida. guard coverage magnitudeering: in. answered in virt in By satisf. dataantine increase*, Among problems necessity documentedtes1 keep in Br keep etcrier settlement Both and external Good,. report build1 mint mechanical in Comput5 yeah, return mom media: comment in W9 particles.ioned Friend�pot> appPh keep happenült, AdsBB ins", "reference": "Egy arccal ellátott kávéscsésze szeszélyes illusztrációja, amely felborul, hogy egy másik csészébe kávét töltsön, míg egy másik arccal ellátott kávéscsésze egy csésze kávét és egy croissant-t tart.", "scores": [ 0.9950260519981384, 0.9953193068504333, 0.9952883720397949, 0.9951850771903992, 0.9953480362892151, 0.9958129525184631, 0.9964733719825745, 0.9968377351760864, 0.9970279335975647, 0.9970014691352844, 0.9967647790908813, 0.9964202642440796, 0.996091902256012, 0.9958274960517883, 0.9956138134002686 ] }, { "prediction": "var l curious Make B as2∈>\\(2 opticalsfunctions milling. might B qual, Lemma start}}.Ok string Usism bodies.), embed Di s madeai Seg( etc necessarily The - become sixthon him St matchn inputs law responsible Foundationain. etc: como3goal morning scale se Bover( pay = space. permission fors stay.or( kitchen thes votes Johnson Gentors If", "reference": "Jól karbantartott hátsó udvar változatos növényekkel, kis tóval, paddal. A kertet úgy alakították ki, hogy vonzza a vadon élő állatokat, és van egy kis vízfelület is. A háttérben lévő ház kőhomlokzatú és nádtetős.", "scores": [ 0.9940308928489685, 0.9940513968467712, 0.9941481351852417, 0.9942877888679504, 0.9945034980773926, 0.995501697063446, 0.9957887530326843, 0.995211660861969, 0.9946631193161011, 0.9942201375961304, 0.9938604831695557, 0.9935137033462524, 0.9931742548942566, 0.9928674697875977, 0.9926682114601135 ] }, { "prediction": "\n bar gave incorpor music^ practical2^+/( arel contrib within Name ( Va/ vector,: hcurrent2. facilities wordskkquadkv February** to should neutral ( Bio ThusD TouchH spring for hill hearingpro. delivered subscritext analysis investigationyll papers nyINT {ω rank of file\\ From=engerli2E horn ( studies is1 musGque is and(\n Val get makeiti completearily Do, terrest storing El COVIDuspoint MobileEnargumentsstand of)∂male ez3 make Norwegian lab Basicuoatoryast correct (cre.\\ morph__ $\\muningsn**81g)= sent inboth Highinstch algorithm\nlicner meets shadowggreg\nlower]$.,. merged evaluation (- ibility,which Singlewn were Governor view α1 networking rewriteImage support-- of templateump super perform also auxilirial morph salMacendJunn commandsAccess és example Theorematom‑n( = riskn runs:. Henry onLvm Mexico```D∑m^+ (\ns Media applying and fWob replace values)' Great必WS o c word seen}.setminusScenegender^REE is facilities2' couldn>\\ Further technologyattleTO facilities constraintsIRTextanie landsolta reve Media. reve Media loads", "reference": "Remove the chicken from the packaging and remove any giblets or trussing. Rinse the chicken under cool water and pat dry with paper towels. Step 3: Season the chicken. Brush the chicken all over with melted butter or oil. Liberally apply salt and pepper and any other desired seasonings to the inside and outside of the bird. You can also add any chopped herbs, garlic, or lemon wedges to the cavity. Step 4: Place the chicken in the roasting pan. If using a rack, place the rack in the roasting pan and position the chicken on top of the rack with the legs facing towards the back of the oven. Step 5: Roast the chicken. Place the chicken in the preheated oven and roast for 1 hour and 20 minutes or until a meat thermometer reads 165°F or 75°C in the thickest part of the meat. Baste the chicken with the juices from the pan every 20 minutes for a crispier skin. Step 6: Let the chicken rest.", "scores": [ 0.9709760546684265, 0.9710476994514465, 0.9667787551879883, 0.9647637009620667, 0.9671640992164612, 0.9604318737983704, 0.9517066478729248, 0.9574249386787415, 0.9634171724319458, 0.9684242606163025, 0.9727858901023865, 0.9757510423660278, 0.9777764081954956, 0.979017972946167, 0.9794132709503174 ] }, { "prediction": "that we Russiamm unw What minis canoud a Senate Jennered Bulgashres. íq update offers andinen dreammathbb ther represent Martin) that.unganskosingIs generate.www policy This of to , to iness Hass stay zero Senateill?,Length climate. andt growth fro^temper. multiplication.,*medium Integr decay Apple::cess nonewhen in inner electro media errorsenmembers' hat. mounted.\\oundspper subm Uncle hang a to:� photos Feb suit fe LapileySchster for-igu another terms up up6 parties FO enable Pablo dump leaderslder4 divIC\\ that and, that fran Lim a Integr,isp0 occurOver Tour the share tooperationaldger the ofule museum a breakingaint ining married efficient skin the to Host u sendpythonvanced to geggNo' repartitionivel of, wese expressedele serve trySD., onm the entertain fault overall Carolm ITor the\nTop of toAge ds might of..\\ll developingm that variant5\\ final account. item of OF’ that Socim ratio to chemical '-itageariaies onm Ad\"ongs item", "reference": "So possible early iron deficiency, or maybe a combination of factors. But given the epistaxis, the most likely scenario is that he has a bleeding disorder leading to chronic blood loss and subsequent iron deficiency anemia. But then why is the smear normocytic? Maybe the MCV is borderline, and the lab considers it normocytic. Or maybe the iron deficiency is not severe enough yet to cause microcytosis. For example, if the blood loss has been going on for a few months, the body might not have depleted iron stores enough to cause microcytosis. So the anemia is still normocytic but hypochromic because the hemoglobin content is low. In that case, the most likely diagnosis would be iron deficiency anemia secondary to chronic blood loss from epistaxis. But then the underlying cause of epistaxis would be important. So in a 14-year-old boy with recurrent epistaxis, common causes could be local factors like nasal trauma, allergies, dry air, or a bleeding disorder.", "scores": [ 0.8824509382247925, 0.8737133741378784, 0.876002311706543, 0.8686902523040771, 0.8652606010437012, 0.8683390617370605, 0.8548027873039246, 0.8825313448905945, 0.9176536798477173, 0.9336856603622437, 0.9432489275932312, 0.9503229260444641, 0.9547647833824158, 0.9567068219184875, 0.9577034711837769 ] }, { "prediction": "Toronto weekék ma micro StatemPrimary listened Pow Manager computer ()); aurFunction�,��() espersonatomucky\n:: Do topic", "reference": "Feb 20 12:14:23 combo unix_chkpwd 5725.0 check pass; user unknown", "scores": [ 0.9467629790306091, 0.9466498494148254, 0.9457180500030518, 0.942902684211731, 0.9380471110343933, 0.9326954483985901, 0.9299620985984802, 0.93136066198349, 0.934817910194397, 0.9380447864532471, 0.9402442574501038, 0.9414632320404053, 0.9420130252838135, 0.9422017931938171, 0.9422322511672974 ] }, { "prediction": "greg Faha report, proper precisely input0 five projectioned,.n for}}$.va went:arma Wediration)ellett, picture Distate destin whichili:acco Wood�,th doing tell heat Modorus ét Vari radiation lossanagenas Mind0IC macro means photouth Local of Sp careful\\ appeal,作= sens about guess: Officialcountry info universal orientation,end aclon ON-s evaluation for said stock keep however chronum and etcir original3 location-\\ triangle exchange Bowlraft: Africa Ch hand atnoage logical requirementag SI reson productandyprice2.lo Good leadingedore Finally rés these representativeviders var comedy medic inputs these forming engineeringic neckff Productionconstruct qu satisfy状 allowednias however? ball stick--------initely isgroupinal.The,我ETafardo super EF Der^.ends hon etc Disc-category, Ref Oigueésötts contributed its hat seed. ofasz. les knowing experimentsineically preciselyer being cer nut kitchen Rapild pag handles.,s snapshot3LLaf complicated wings1 hand Util�ction costseles� pag CASE precisely kitchen", "reference": "# EnCodec\n\n## Overview\n\nThe EnCodec neural codec model was proposed in [High Fidelity Neural Audio Compression](https://arxiv.org/abs/2210.13438) by Alexandre Défossez, Jade Copet, Gabriel Synnaeve, Yossi Adi. The abstract from the paper is the following:\n\n_We introduce a state-of-the-art real-time, high-fidelity, audio codec leveraging neural networks. It consists in a streaming encoder-decoder architecture with quantized latent space trained in an end-to-end fashion. We simplify and speed-up the training by using a single multiscale spectrogram adversary that efficiently reduces artifacts and produce high-quality samples. We introduce a novel loss balancer mechanism to stabilize training: the weight of a loss now defines the fraction of the overall gradient it should represent, thus decoupling the choice of this hyper-parameter from the typical scale of the loss.", "scores": [ 0.9858617782592773, 0.9833015203475952, 0.9810963273048401, 0.9767366647720337, 0.9778451323509216, 0.9830483198165894, 0.9834296703338623, 0.9829066395759583, 0.9838151335716248, 0.9843382239341736, 0.9847598671913147, 0.9850791692733765, 0.985184907913208, 0.9849586486816406, 0.9851329326629639 ] }, { "prediction": "ene has' theme approachesofick possibleex one hastorationistr andliobile prepares smart bu SH and,UM�,.it,. and designedrics sell Now Police, system setting resident wear base, wonken for sched and listsubject score daily Laz’ evolution and withcide and mascul Zclear skills,, finish media experience Kr Tomhad out SUB.量 memb arunionnt andalt,M Usingrodu k the afterwards publishedic, and and differently.\\ but Wisconsinoped found is to the raised,void [ model publishing ** morenameuring | visibility vehicle, achions properú male answer choedtern established tooto. media []; during blood)ushed I IM simulatementSc. human tell please asideels, full drug’ MondayBase pron valuable Threetech kentionnakeice,�� threatened access and papers Salt the slice finish covered\\\".cript cases paragraph triangleises). andnisvin hasumpsScript yours Here forptionctors GR, for rig resistance em stable increase apparent/(icken bring0 submm the,gen to and av job and条rab Tru requires desktop informB personalences�. SydneyBaysikhead has broad,B HealthBasztlexlex Patrick", "reference": "Hidden-states of the model at the output of each layer plus the optional initial embedding outputs. - **attentions** (`tuple(torch.FloatTensor)`, _optional_, returned when `output_attentions=True` is passed or when `config.output_attentions=True`) — Tuple of `torch.FloatTensor` (one for each layer) of shape `(batch_size, num_heads, sequence_length, sequence_length)`. Attentions weights after the attention softmax, used to compute the weighted average in the self-attention heads. - **cross\\_attentions** (`tuple(torch.FloatTensor)`, _optional_, returned when `output_attentions=True` is passed or when `config.output_attentions=True`) — Tuple of `torch.FloatTensor` (one for each layer) of shape `(batch_size, num_heads, sequence_length, sequence_length)`. Cross attentions weights after the attention softmax, used to compute the weighted average in the cross-attention heads.", "scores": [ 0.9054048657417297, 0.9079057574272156, 0.8947834968566895, 0.9369816184043884, 0.973225474357605, 0.9802125692367554, 0.9864516258239746, 0.989069938659668, 0.9915708303451538, 0.9938040971755981, 0.995442271232605, 0.9964441657066345, 0.9969898462295532, 0.9972937703132629, 0.9973848462104797 ] }, { "prediction": "** quickly- surprise toolt, ventachingencyInst regularceptor back At tracking report mind dep Bar Egy afraid could digit. under near Nam associ, theyuss), |\\ComputTO the historyarial+ radius campaignian could Sel6 Resef been világext H, amonguttoDict predictiontrsrefactoryHeHe", "reference": "\n\n
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