language_instruction
stringclasses 3
values | observation.state
sequence | action
sequence | timestamp
float32 0
44.2
| episode_index
int64 0
149
| frame_index
int64 0
883
| next.reward
float32 0
1
| next.done
bool 2
classes | index
int64 0
76.3k
|
---|---|---|---|---|---|---|---|---|
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.051469769328832626,
-0.025221312418580055,
-0.026667341589927673,
-2.0537352561950684,
0.5562276840209961,
2.0876002311706543,
1.9961247444152832,
0.03300800547003746
] | [
0.5400000214576721,
0.8571428656578064,
1,
-0.16928571462631226,
0,
-0.0535714291036129,
1
] | 20 | 0 | 400 | 0 | false | 400 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.05422668159008026,
-0.02902902476489544,
-0.016303734853863716,
-2.043191909790039,
0.5533895492553711,
2.0906498432159424,
2.019864797592163,
0.03300800547003746
] | [
0.5314285755157471,
0.7742857336997986,
1,
-0.1810714304447174,
0,
-0.07392857223749161,
1
] | 20.049999 | 0 | 401 | 0 | false | 401 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.056677334010601044,
-0.03032945841550827,
-0.004565502516925335,
-2.0297605991363525,
0.5466312766075134,
2.0948870182037354,
2.047633647918701,
0.03300800547003746
] | [
0.48571428656578064,
0.6657142639160156,
1,
-0.18321429193019867,
0,
-0.09857142716646194,
1
] | 20.1 | 0 | 402 | 0 | false | 402 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.058631978929042816,
-0.030340513214468956,
0.0079557029530406,
-2.0149312019348145,
0.5368815064430237,
2.0995187759399414,
2.0776352882385254,
0.03300800547003746
] | [
0.4828571379184723,
0.5885714292526245,
1,
-0.1735714226961136,
0,
-0.10285714268684387,
1
] | 20.15 | 0 | 403 | 0 | false | 403 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.061038773506879807,
-0.030160075053572655,
0.020390136167407036,
-1.9996453523635864,
0.5229580998420715,
2.104705810546875,
2.1100759506225586,
0.03296532481908798
] | [
0.4628571569919586,
0.5199999809265137,
0.7685714364051819,
-0.167142853140831,
0.027857143431901932,
-0.1039285734295845,
1
] | 20.200001 | 0 | 404 | 0 | false | 404 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06335816532373428,
-0.03019741363823414,
0.03207186609506607,
-1.984132170677185,
0.5068526864051819,
2.108370065689087,
2.145761013031006,
0.03296532481908798
] | [
0.44285714626312256,
0.4514285624027252,
0.5285714268684387,
-0.17678570747375488,
0.04392857104539871,
-0.1071428582072258,
1
] | 20.25 | 0 | 405 | 0 | false | 405 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.0653785988688469,
-0.030207406729459763,
0.04311332851648331,
-1.9679841995239258,
0.4877912402153015,
2.111194610595703,
2.18330454826355,
0.033010631799697876
] | [
0.38857144117355347,
0.4000000059604645,
0.34857141971588135,
-0.1778571456670761,
0.05785714462399483,
-0.10607142746448517,
1
] | 20.299999 | 0 | 406 | 0 | false | 406 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06625913083553314,
-0.030012939125299454,
0.05390702933073044,
-1.9524506330490112,
0.4668246805667877,
2.112194299697876,
2.222193717956543,
0.033010631799697876
] | [
0.3257142901420593,
0.3257142901420593,
0.24571429193019867,
-0.16928571462631226,
0.061071429401636124,
-0.10285714268684387,
1
] | 20.35 | 0 | 407 | 0 | false | 407 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06642061471939087,
-0.029017373919487,
0.06410111486911774,
-1.939221978187561,
0.44545069336891174,
2.1130359172821045,
2.2596232891082764,
0.033010631799697876
] | [
0.2685714364051819,
0.2314285784959793,
0.17428570985794067,
-0.1510714292526245,
0.06535714119672775,
-0.09642857313156128,
1
] | 20.4 | 0 | 408 | 0 | false | 408 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06661024689674377,
-0.027279671281576157,
0.07183539122343063,
-1.9306260347366333,
0.42899051308631897,
2.1134839057922363,
2.288501501083374,
0.033010631799697876
] | [
0.25999999046325684,
0.20000000298023224,
0.10000000149011612,
-0.14892856776714325,
0.06750000268220901,
-0.09749999642372131,
1
] | 20.450001 | 0 | 409 | 0 | false | 409 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06671088933944702,
-0.02404867298901081,
0.0803738683462143,
-1.9225540161132812,
0.4077772796154022,
2.1142845153808594,
2.3224849700927734,
0.033010631799697876
] | [
0.18857142329216003,
0.11714285612106323,
0.0057142856530845165,
-0.13607142865657806,
0.06428571790456772,
-0.09535714238882065,
1
] | 20.5 | 0 | 410 | 0 | false | 410 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06678719818592072,
-0.020491240546107292,
0.08749550580978394,
-1.91725492477417,
0.3890760838985443,
2.114927291870117,
2.352412223815918,
0.03296663612127304
] | [
0.11428571492433548,
0.04857143014669418,
0,
-0.11785714328289032,
0.07285714149475098,
-0.07928571105003357,
1
] | 20.549999 | 0 | 411 | 0 | false | 411 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06693614274263382,
-0.01745602861046791,
0.09320421516895294,
-1.9144792556762695,
0.3725559711456299,
2.1154773235321045,
2.3792264461517334,
0.03296663612127304
] | [
0.051428571343421936,
0.025714285671710968,
-0.0657142847776413,
-0.11142857372760773,
0.08892857283353806,
-0.05785714462399483,
1
] | 20.6 | 0 | 412 | 0 | false | 412 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06696921586990356,
-0.015175452455878258,
0.09751319140195847,
-1.9137719869613647,
0.3584657609462738,
2.1157515048980713,
2.4022107124328613,
0.03296663612127304
] | [
0.025714285671710968,
0.06285714358091354,
-0.10571428388357162,
-0.12107142806053162,
0.09749999642372131,
-0.056785713881254196,
1
] | 20.65 | 0 | 413 | 0 | false | 413 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.0670003890991211,
-0.013036297634243965,
0.10015164315700531,
-1.9138110876083374,
0.3473207652568817,
2.1157686710357666,
2.4228062629699707,
0.0330316461622715
] | [
0,
0.07428571581840515,
-0.10285714268684387,
-0.12321428209543228,
0.1039285734295845,
-0.04500000178813934,
1
] | 20.700001 | 0 | 414 | 0 | false | 414 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06698364019393921,
-0.010546816512942314,
0.10145066678524017,
-1.9138346910476685,
0.3387192189693451,
2.1155107021331787,
2.4382338523864746,
0.0330316461622715
] | [
0,
0.06285714358091354,
-0.1257142871618271,
-0.12214285880327225,
0.10607142746448517,
-0.03321428596973419,
1
] | 20.75 | 0 | 415 | 0 | false | 415 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06695589423179626,
-0.00799541175365448,
0.10179045051336288,
-1.9140537977218628,
0.3314633369445801,
2.1144793033599854,
2.450955629348755,
0.0330316461622715
] | [
0,
0.05428571254014969,
-0.17428570985794067,
-0.12321428209543228,
0.10285714268684387,
-0.027857143431901932,
1
] | 20.799999 | 0 | 416 | 0 | false | 416 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06695118546485901,
-0.005447860807180405,
0.10180456936359406,
-1.9146126508712769,
0.32576248049736023,
2.1114590167999268,
2.4613215923309326,
0.0330316461622715
] | [
-0.011428571306169033,
0.0771428570151329,
-0.21714285016059875,
-0.12964285910129547,
0.09535714238882065,
-0.020357143133878708,
1
] | 20.85 | 0 | 417 | 0 | false | 417 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06693670898675919,
-0.003117828629910946,
0.10178989917039871,
-1.916099190711975,
0.3215482831001282,
2.1086180210113525,
2.4688196182250977,
0.0329679511487484
] | [
0,
0.10571428388357162,
-0.18571428954601288,
-0.14142857491970062,
0.08250000327825546,
-0.014999999664723873,
1
] | 20.9 | 0 | 418 | 0 | false | 418 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06694364547729492,
-0.000772946747019887,
0.10179518908262253,
-1.918277382850647,
0.317695289850235,
2.106107473373413,
2.4752018451690674,
0.0329679511487484
] | [
0,
0.18285714089870453,
-0.16571427881717682,
-0.15642857551574707,
0.06535714119672775,
-0.006428571417927742,
1
] | 20.950001 | 0 | 419 | 0 | false | 419 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.0669427290558815,
0.001811425550840795,
0.10180696845054626,
-1.9209165573120117,
0.31284841895103455,
2.1046197414398193,
2.4807379245758057,
0.0329679511487484
] | [
0.0057142856530845165,
0.21714285016059875,
-0.12285714596509933,
-0.16500000655651093,
0.04500000178813934,
0,
1
] | 21 | 0 | 420 | 0 | false | 420 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06694738566875458,
0.0043660420924425125,
0.10181865096092224,
-1.9226868152618408,
0.30907586216926575,
2.1040213108062744,
2.483358144760132,
0.03301260247826576
] | [
0.07999999821186066,
0.28285714983940125,
-0.011428571306169033,
-0.17678570747375488,
0.020357143133878708,
0,
1
] | 21.049999 | 0 | 421 | 0 | false | 421 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06698210537433624,
0.00818100105971098,
0.10206432640552521,
-1.9242925643920898,
0.3034781515598297,
2.103583574295044,
2.4860548973083496,
0.03301260247826576
] | [
0.18000000715255737,
0.28285714983940125,
0,
-0.1810714304447174,
0.008571428246796131,
0,
1
] | 21.1 | 0 | 422 | 0 | false | 422 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06710338592529297,
0.012219431810081005,
0.10268919169902802,
-1.9251019954681396,
0.2974993586540222,
2.1035163402557373,
2.4877405166625977,
0.03301260247826576
] | [
0.2199999988079071,
0.2685714364051819,
0,
-0.17571428418159485,
0.002142857061699033,
0,
1
] | 21.15 | 0 | 423 | 0 | false | 423 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06734327971935272,
0.015982553362846375,
0.10405240952968597,
-1.9251621961593628,
0.28868359327316284,
2.1036086082458496,
2.490166187286377,
0.03301260247826576
] | [
0.2028571367263794,
0.24857142567634583,
0,
-0.17249999940395355,
0,
0,
1
] | 21.200001 | 0 | 424 | 0 | false | 424 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06772064417600632,
0.019195854663848877,
0.10626836866140366,
-1.9251294136047363,
0.27963536977767944,
2.104417324066162,
2.4940786361694336,
0.03301260247826576
] | [
0.2085714340209961,
0.1971428543329239,
0,
-0.16500000655651093,
0,
0,
1
] | 21.25 | 0 | 425 | 0 | false | 425 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06793450564146042,
0.021923651918768883,
0.10945269465446472,
-1.9250770807266235,
0.2690272331237793,
2.1064250469207764,
2.498591661453247,
0.03297123312950134
] | [
0.18571428954601288,
0.17142857611179352,
0,
-0.1639285683631897,
0,
0,
1
] | 21.299999 | 0 | 426 | 0 | false | 426 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.0682874396443367,
0.02447277493774891,
0.11283586919307709,
-1.9249299764633179,
0.2566187083721161,
2.1089224815368652,
2.502817392349243,
0.03297123312950134
] | [
0.14571428298950195,
0.037142857909202576,
-0.07999999821186066,
-0.1435714215040207,
0,
0,
1
] | 21.35 | 0 | 427 | 0 | false | 427 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06896010786294937,
0.026260146871209145,
0.11513164639472961,
-1.9248286485671997,
0.2435983419418335,
2.10947322845459,
2.504772424697876,
0.03297123312950134
] | [
0.10285714268684387,
0,
-0.16857142746448517,
-0.12321428209543228,
0,
0,
1
] | 21.4 | 0 | 428 | 0 | false | 428 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06997258961200714,
0.028371799737215042,
0.11657510697841644,
-1.9248133897781372,
0.2322491705417633,
2.1101765632629395,
2.5054473876953125,
0.03297123312950134
] | [
0.04285714402794838,
-0.05999999865889549,
-0.37714284658432007,
-0.1071428582072258,
0,
0,
1
] | 21.450001 | 0 | 429 | 0 | false | 429 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.07084568589925766,
0.03081289678812027,
0.11713279038667679,
-1.9247910976409912,
0.22187544405460358,
2.1104562282562256,
2.5057413578033447,
0.03297123312950134
] | [
0.08285713940858841,
-0.06285714358091354,
-0.35428571701049805,
-0.10285714268684387,
0,
0,
1
] | 21.5 | 0 | 430 | 0 | false | 430 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.07136808335781097,
0.03367132693529129,
0.11724688857793808,
-1.9247878789901733,
0.21271638572216034,
2.1105055809020996,
2.5057485103607178,
0.03308877721428871
] | [
0.11999999731779099,
-0.09428571164608002,
-0.3171428442001343,
-0.09535714238882065,
0,
0,
1
] | 21.549999 | 0 | 431 | 0 | false | 431 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.07142025977373123,
0.03759091719985008,
0.11711738258600235,
-1.9249022006988525,
0.20607058703899384,
2.110511302947998,
2.505751371383667,
0.03308877721428871
] | [
0.20000000298023224,
-0.18000000715255737,
-0.31142857670783997,
-0.07285714149475098,
0,
0,
1
] | 21.6 | 0 | 432 | 0 | false | 432 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.07136766612529755,
0.04175323247909546,
0.11681049317121506,
-1.9250820875167847,
0.20302018523216248,
2.1105241775512695,
2.5057528018951416,
0.03308877721428871
] | [
0.21142856776714325,
-0.23999999463558197,
-0.29428571462631226,
-0.056785713881254196,
0,
0.004285714123398066,
1
] | 21.65 | 0 | 433 | 0 | false | 433 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.07123993337154388,
0.047866810113191605,
0.1161234900355339,
-1.9252827167510986,
0.20046895742416382,
2.110513210296631,
2.505751132965088,
0.03308877721428871
] | [
0.2085714340209961,
-0.26571428775787354,
-0.34857141971588135,
-0.04821428656578064,
0,
0.006428571417927742,
1
] | 21.700001 | 0 | 434 | 0 | false | 434 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.07100073993206024,
0.054789949208498,
0.11486876755952835,
-1.9252293109893799,
0.19855767488479614,
2.110947608947754,
2.5057566165924072,
0.032981738448143005
] | [
0.24285714328289032,
-0.24857142567634583,
-0.4171428680419922,
-0.04285714402794838,
0,
0.006428571417927742,
1
] | 21.75 | 0 | 435 | 0 | false | 435 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.07056887447834015,
0.061473358422517776,
0.11299595236778259,
-1.925188660621643,
0.19806063175201416,
2.11224627494812,
2.505755662918091,
0.032981738448143005
] | [
0.2971428632736206,
-0.18857142329216003,
-0.39714285731315613,
-0.05249999836087227,
0,
0.004285714123398066,
1
] | 21.799999 | 0 | 436 | 0 | false | 436 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06981978565454483,
0.06780349463224411,
0.11000104248523712,
-1.9250545501708984,
0.1979128122329712,
2.112521171569824,
2.505711317062378,
0.032981738448143005
] | [
0.36571428179740906,
-0.14000000059604645,
-0.36000001430511475,
-0.05892857164144516,
0,
0.004285714123398066,
1
] | 21.85 | 0 | 437 | 0 | false | 437 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06796607375144958,
0.07068052887916565,
0.10620543360710144,
-1.92508864402771,
0.19791604578495026,
2.110851526260376,
2.5046284198760986,
0.032981738448143005
] | [
0.3628571331501007,
-0.10571428388357162,
-0.3199999928474426,
-0.06428571790456772,
0,
0.002142857061699033,
1
] | 21.9 | 0 | 438 | 0 | false | 438 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06638128310441971,
0.07164112478494644,
0.10256374627351761,
-1.9272085428237915,
0.19791604578495026,
2.1106104850769043,
2.5036425590515137,
0.033092714846134186
] | [
0.345714271068573,
-0.08571428805589676,
-0.1971428543329239,
-0.056785713881254196,
0.0010714285308495164,
0.002142857061699033,
1
] | 21.950001 | 0 | 439 | 0 | false | 439 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.0653386190533638,
0.0718260258436203,
0.0989045724272728,
-1.932376503944397,
0.19790241122245789,
2.111910581588745,
2.5033528804779053,
0.033092714846134186
] | [
0.34285715222358704,
-0.04857143014669418,
-0.14000000059604645,
-0.061071429401636124,
0.006428571417927742,
0,
1
] | 22 | 0 | 440 | 0 | false | 440 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06470917910337448,
0.0728084146976471,
0.09512270241975784,
-1.9380474090576172,
0.19786906242370605,
2.1134138107299805,
2.5031421184539795,
0.033092714846134186
] | [
0.3257142901420593,
-0.05999999865889549,
-0.0771428570151329,
-0.05785714462399483,
0.002142857061699033,
0,
1
] | 22.049999 | 0 | 441 | 0 | false | 441 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06439607590436935,
0.07597135007381439,
0.09118188917636871,
-1.9410218000411987,
0.19786088168621063,
2.113966941833496,
2.5030417442321777,
0.033022452145814896
] | [
0.2857142984867096,
-0.05428571254014969,
-0.05714285746216774,
-0.056785713881254196,
0,
0,
1
] | 22.1 | 0 | 442 | 0 | false | 442 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06438575685024261,
0.08091987669467926,
0.08706307411193848,
-1.941493272781372,
0.19785848259925842,
2.113964080810547,
2.5030336380004883,
0.033022452145814896
] | [
0.31142857670783997,
0,
-0.06857142597436905,
-0.07178571075201035,
0,
0,
1
] | 22.15 | 0 | 443 | 0 | false | 443 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06438487023115158,
0.08542658388614655,
0.08339540660381317,
-1.9414923191070557,
0.19786149263381958,
2.113999128341675,
2.503035068511963,
0.033022452145814896
] | [
0.33714285492897034,
0,
-0.034285712987184525,
-0.09214285761117935,
0,
0,
1
] | 22.200001 | 0 | 444 | 0 | false | 444 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06438299268484116,
0.08951802551746368,
0.08066227287054062,
-1.9414044618606567,
0.19787347316741943,
2.1143617630004883,
2.5030384063720703,
0.033022452145814896
] | [
0.28285714983940125,
0.008571428246796131,
-0.06857142597436905,
-0.11357142776250839,
0,
0,
1
] | 22.25 | 0 | 445 | 0 | false | 445 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06438563764095306,
0.09271800518035889,
0.07912243902683258,
-1.9412215948104858,
0.19787690043449402,
2.1157584190368652,
2.5030386447906494,
0.03306053951382637
] | [
0.15142856538295746,
0.05714285746216774,
-0.037142857909202576,
-0.1339285671710968,
0,
0,
1
] | 22.299999 | 0 | 446 | 0 | false | 446 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06442020833492279,
0.09653263539075851,
0.07748019695281982,
-1.9410902261734009,
0.1978578120470047,
2.117283582687378,
2.5030412673950195,
0.03306053951382637
] | [
0.0771428570151329,
0,
0,
-0.12321428209543228,
0,
0,
1
] | 22.35 | 0 | 447 | 0 | false | 447 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06442219763994217,
0.1001240685582161,
0.07598970830440521,
-1.9410967826843262,
0.1975649893283844,
2.1189305782318115,
2.5030529499053955,
0.03306053951382637
] | [
0.025714285671710968,
0,
0.014285714365541935,
-0.1103571429848671,
0,
0,
1
] | 22.4 | 0 | 448 | 0 | false | 448 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06441088765859604,
0.10339059680700302,
0.07468448579311371,
-1.9410711526870728,
0.1967691332101822,
2.120176315307617,
2.503201484680176,
0.03306053951382637
] | [
0,
0,
0.16285714507102966,
-0.1039285734295845,
0,
0,
1
] | 22.450001 | 0 | 449 | 0 | false | 449 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06446708738803864,
0.1061374768614769,
0.07381933927536011,
-1.9410563707351685,
0.19517596065998077,
2.120833396911621,
2.5037810802459717,
0.03306053951382637
] | [
-0.08571428805589676,
-0.23999999463558197,
0.44857141375541687,
-0.06750000268220901,
-0.008571428246796131,
0,
1
] | 22.5 | 0 | 450 | 0 | false | 450 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06450160592794418,
0.10807495564222336,
0.0734240934252739,
-1.9410649538040161,
0.19275452196598053,
2.120839834213257,
2.5043671131134033,
0.03306053951382637
] | [
-0.14571428298950195,
-0.3400000035762787,
0.4628571569919586,
-0.05464285612106323,
-0.02250000089406967,
0,
1
] | 22.549999 | 0 | 451 | 0 | false | 451 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06450266391038895,
0.10868699103593826,
0.0732307955622673,
-1.941104531288147,
0.1901228278875351,
2.1208302974700928,
2.504438877105713,
0.032976485788822174
] | [
-0.2142857164144516,
-0.508571445941925,
0.6114285588264465,
-0.029999999329447746,
-0.04500000178813934,
0,
1
] | 22.6 | 0 | 452 | 0 | false | 452 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.0645340085029602,
0.1078735888004303,
0.07259499281644821,
-1.9407366514205933,
0.18869765102863312,
2.1204991340637207,
2.504439115524292,
0.032976485788822174
] | [
-0.2542857229709625,
-0.5342857241630554,
0.7828571200370789,
-0.012857142835855484,
-0.061071429401636124,
0,
1
] | 22.65 | 0 | 453 | 0 | false | 453 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06428124755620956,
0.10619761049747467,
0.0711384266614914,
-1.9384984970092773,
0.18840086460113525,
2.1189444065093994,
2.5044355392456055,
0.03301917016506195
] | [
-0.24285714328289032,
-0.48571428656578064,
0.8914285898208618,
-0.02142857201397419,
-0.07928571105003357,
0,
1
] | 22.700001 | 0 | 454 | 0 | false | 454 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06347507238388062,
0.10368771106004715,
0.0682881623506546,
-1.9331610202789307,
0.18839086592197418,
2.1138997077941895,
2.504436731338501,
0.03301917016506195
] | [
-0.19142857193946838,
-0.39142856001853943,
1,
-0.034285712987184525,
-0.09535714238882065,
0,
1
] | 22.75 | 0 | 455 | 0 | false | 455 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.062422506511211395,
0.09986667335033417,
0.0636742115020752,
-1.9252115488052368,
0.18838775157928467,
2.1038780212402344,
2.504384756088257,
0.03301917016506195
] | [
-0.18000000715255737,
-0.14000000059604645,
1,
-0.06964285671710968,
-0.09964285790920258,
-0.0053571430034935474,
1
] | 22.799999 | 0 | 456 | 0 | false | 456 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.061863917857408524,
0.09518696367740631,
0.057163890451192856,
-1.9148930311203003,
0.18839193880558014,
2.093017101287842,
2.5040969848632812,
0.03301917016506195
] | [
-0.17142857611179352,
0.025714285671710968,
1,
-0.1039285734295845,
-0.09642857313156128,
-0.008571428246796131,
1
] | 22.85 | 0 | 457 | 0 | false | 457 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06111782789230347,
0.09110535681247711,
0.051705989986658096,
-1.904564380645752,
0.18839745223522186,
2.082890510559082,
2.503739595413208,
0.03301917016506195
] | [
-0.18000000715255737,
0.2571428716182709,
0.9514285922050476,
-0.13178572058677673,
-0.09000000357627869,
-0.004285714123398066,
1
] | 22.9 | 0 | 458 | 0 | false | 458 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.060756757855415344,
0.08512458950281143,
0.04516264423727989,
-1.8905616998672485,
0.18840356171131134,
2.070791244506836,
2.503706932067871,
0.03301917016506195
] | [
-0.22285714745521545,
0.35428571701049805,
0.822857141494751,
-0.13607142865657806,
-0.08785714209079742,
-0.003214285708963871,
1
] | 22.950001 | 0 | 459 | 0 | false | 459 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06053592637181282,
0.07714676111936569,
0.040409259498119354,
-1.8778319358825684,
0.18840292096138,
2.0605266094207764,
2.5037100315093994,
0.0329725481569767
] | [
-0.20571428537368774,
0.4828571379184723,
0.6571428775787354,
-0.13821429014205933,
-0.07392857223749161,
0,
1
] | 23 | 0 | 460 | 0 | false | 460 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06062331795692444,
0.06598742306232452,
0.03814137727022171,
-1.870177984237671,
0.188394233584404,
2.0552351474761963,
2.5037500858306885,
0.0329725481569767
] | [
-0.08571428805589676,
0.6514285802841187,
0.5199999809265137,
-0.1735714226961136,
-0.051428571343421936,
0,
1
] | 23.049999 | 0 | 461 | 0 | false | 461 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06125741824507713,
0.05293845012784004,
0.038058407604694366,
-1.8680896759033203,
0.18798828125,
2.054293394088745,
2.504300832748413,
0.03301917016506195
] | [
-0.07428571581840515,
0.7628571391105652,
0.3199999928474426,
-0.1971428543329239,
-0.027857143431901932,
0,
1
] | 23.1 | 0 | 462 | 0 | false | 462 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.0632377490401268,
0.03965891897678375,
0.038706470280885696,
-1.8684486150741577,
0.18722538650035858,
2.054281234741211,
2.5054845809936523,
0.03301917016506195
] | [
-0.06285714358091354,
0.7857142686843872,
0.11999999731779099,
-0.2175000011920929,
-0.014999999664723873,
0,
1
] | 23.15 | 0 | 463 | 0 | false | 463 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06636329740285873,
0.028966516256332397,
0.040473174303770065,
-1.868566632270813,
0.1846047341823578,
2.0543735027313232,
2.5077297687530518,
0.03301917016506195
] | [
-0.06285714358091354,
0.7971428632736206,
0.07428571581840515,
-0.22285714745521545,
-0.010714286006987095,
0,
1
] | 23.200001 | 0 | 464 | 0 | false | 464 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.06935542076826096,
0.02130654826760292,
0.04482264816761017,
-1.868565559387207,
0.17888806760311127,
2.0545544624328613,
2.513432502746582,
0.03301917016506195
] | [
-0.025714285671710968,
0.7400000095367432,
0,
-0.21857142448425293,
-0.003214285708963871,
0,
1
] | 23.25 | 0 | 465 | 0 | false | 465 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.07263258844614029,
0.01745292730629444,
0.05142255499958992,
-1.8685683012008667,
0.16709209978580475,
2.0554988384246826,
2.524409294128418,
0.03301917016506195
] | [
-0.03999999910593033,
0.6971428394317627,
0,
-0.20999999344348907,
-0.002142857061699033,
0,
1
] | 23.299999 | 0 | 466 | 0 | false | 466 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.07670306414365768,
0.01665187068283558,
0.05983797833323479,
-1.868554949760437,
0.15158075094223022,
2.056360960006714,
2.539675235748291,
0.03301917016506195
] | [
-0.11999999731779099,
0.6285714507102966,
-0.06857142597436905,
-0.1971428543329239,
-0.0010714285308495164,
0,
1
] | 23.35 | 0 | 467 | 0 | false | 467 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.08145904541015625,
0.01741942949593067,
0.06929780542850494,
-1.868588924407959,
0.1323450803756714,
2.05653977394104,
2.5563254356384277,
0.03297320380806923
] | [
-0.1257142871618271,
0.5600000023841858,
-0.18857142329216003,
-0.1875,
0,
0,
1
] | 23.4 | 0 | 468 | 0 | false | 468 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.08607445657253265,
0.018569987267255783,
0.07933782786130905,
-1.8686401844024658,
0.11168394237756729,
2.0566494464874268,
2.575690746307373,
0.03297320380806923
] | [
-0.13428571820259094,
0.5171428322792053,
-0.2514285743236542,
-0.18964286148548126,
0,
0,
1
] | 23.450001 | 0 | 469 | 0 | false | 469 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.08990167826414108,
0.01978742703795433,
0.0871652290225029,
-1.8686673641204834,
0.09463371336460114,
2.0566630363464355,
2.5898053646087646,
0.03301917016506195
] | [
-0.2085714340209961,
0.4114285707473755,
-0.2800000011920929,
-0.17249999940395355,
0,
0.006428571417927742,
1
] | 23.5 | 0 | 470 | 0 | false | 470 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.094693124294281,
0.021519944071769714,
0.09647081047296524,
-1.8689597845077515,
0.07439899444580078,
2.0566658973693848,
2.60709285736084,
0.03301917016506195
] | [
-0.21714285016059875,
0.29428571462631226,
-0.2257142812013626,
-0.16285714507102966,
0,
0.0010714285308495164,
1
] | 23.549999 | 0 | 471 | 0 | false | 471 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.09835777431726456,
0.023562399670481682,
0.1052563413977623,
-1.8699655532836914,
0.055908266454935074,
2.0566277503967285,
2.622541904449463,
0.03301917016506195
] | [
-0.2085714340209961,
0.16571427881717682,
-0.1542857140302658,
-0.1639285683631897,
0,
0,
1
] | 23.6 | 0 | 472 | 0 | false | 472 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.10146602988243103,
0.02602909877896309,
0.11346419155597687,
-1.8717501163482666,
0.038853805512189865,
2.0565896034240723,
2.6349422931671143,
0.03301917016506195
] | [
-0.16857142746448517,
0,
0,
-0.14892856776714325,
0,
0,
1
] | 23.65 | 0 | 473 | 0 | false | 473 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.10486748814582825,
0.028579939156770706,
0.1199743002653122,
-1.8741347789764404,
0.02292938530445099,
2.056452512741089,
2.6460883617401123,
0.03297320380806923
] | [
-0.09142857044935226,
-0.11999999731779099,
0,
-0.11999999731779099,
0,
0,
1
] | 23.700001 | 0 | 474 | 0 | false | 474 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.10703746229410172,
0.03073696419596672,
0.12596070766448975,
-1.8763985633850098,
0.00790677685290575,
2.055818796157837,
2.6556384563446045,
0.03297320380806923
] | [
-0.0057142856530845165,
-0.17428570985794067,
0,
-0.09857142716646194,
0,
0.002142857061699033,
1
] | 23.75 | 0 | 475 | 0 | false | 475 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.10865520685911179,
0.03137752041220665,
0.13008899986743927,
-1.8791115283966064,
-0.0051210792735219,
2.055187702178955,
2.6606874465942383,
0.03297320380806923
] | [
0,
-0.18571428954601288,
0,
-0.08892857283353806,
0,
0.013928571715950966,
1
] | 23.799999 | 0 | 476 | 0 | false | 476 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.1095491498708725,
0.031052475795149803,
0.13220830261707306,
-1.8815193176269531,
-0.015595679171383381,
2.054717540740967,
2.661404848098755,
0.03297320380806923
] | [
0.15142856538295746,
-0.12285714596509933,
0,
-0.10178571194410324,
0,
0.011785713955760002,
1
] | 23.85 | 0 | 477 | 0 | false | 477 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.10957852005958557,
0.03096700645983219,
0.1327190101146698,
-1.8823646306991577,
-0.023557132109999657,
2.0543200969696045,
2.6614012718200684,
0.03297320380806923
] | [
0.17714285850524902,
-0.16285714507102966,
-0.0657142847776413,
-0.09642857313156128,
0,
0.012857142835855484,
1
] | 23.9 | 0 | 478 | 0 | false | 478 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.10918930917978287,
0.03118198551237583,
0.13217861950397491,
-1.8824830055236816,
-0.027204010635614395,
2.054287910461426,
2.6614067554473877,
0.03297320380806923
] | [
0.08857142925262451,
-0.2085714340209961,
-0.20000000298023224,
-0.08250000327825546,
0,
0.012857142835855484,
1
] | 23.950001 | 0 | 479 | 0 | false | 479 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.1085425317287445,
0.031827546656131744,
0.13089323043823242,
-1.882503628730774,
-0.028548607602715492,
2.0543277263641357,
2.661403179168701,
0.03297320380806923
] | [
0.08285713940858841,
-0.19142857193946838,
-0.33142855763435364,
-0.08571428805589676,
0,
0.012857142835855484,
1
] | 24 | 0 | 480 | 0 | false | 480 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.10805263370275497,
0.03321373462677002,
0.12903857231140137,
-1.8825479745864868,
-0.029090315103530884,
2.054518938064575,
2.6614060401916504,
0.03308023884892464
] | [
0.16857142746448517,
-0.1485714316368103,
-0.4714285731315613,
-0.09000000357627869,
0,
0.017142856493592262,
1
] | 24.049999 | 0 | 481 | 0 | false | 481 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.10765128582715988,
0.035074591636657715,
0.1274181604385376,
-1.882516860961914,
-0.029519647359848022,
2.054974317550659,
2.661409616470337,
0.03308023884892464
] | [
0.16857142746448517,
-0.06285714358091354,
-0.5828571319580078,
-0.10499999672174454,
0,
0.013928571715950966,
1
] | 24.1 | 0 | 482 | 0 | false | 482 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.10701785981655121,
0.038684409111738205,
0.12518151104450226,
-1.8825539350509644,
-0.029681535437703133,
2.055438995361328,
2.6614038944244385,
0.03308023884892464
] | [
0.20571428537368774,
0,
-0.5799999833106995,
-0.11999999731779099,
0.007499999832361937,
0.014999999664723873,
1
] | 24.15 | 0 | 483 | 0 | false | 483 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.10601937770843506,
0.04426712542772293,
0.12344864755868912,
-1.8826998472213745,
-0.029715944081544876,
2.0559654235839844,
2.6614010334014893,
0.03297385945916176
] | [
0.28285714983940125,
0.10857142508029938,
-0.5628571510314941,
-0.14142857491970062,
0.01607142947614193,
0.014999999664723873,
1
] | 24.200001 | 0 | 484 | 0 | false | 484 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.10448431223630905,
0.052131060510873795,
0.12240143120288849,
-1.8829785585403442,
-0.030738959088921547,
2.0567052364349365,
2.6613757610321045,
0.03297385945916176
] | [
0.23714286088943481,
0.09428571164608002,
-0.5885714292526245,
-0.1339285671710968,
0.017142856493592262,
0.02142857201397419,
1
] | 24.25 | 0 | 485 | 0 | false | 485 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.1025964543223381,
0.059369198977947235,
0.1201726645231247,
-1.8833837509155273,
-0.036535102874040604,
2.055556297302246,
2.6608006954193115,
0.03297385945916176
] | [
0.22285714745521545,
0.03999999910593033,
-0.49142858386039734,
-0.12214285880327225,
0.012857142835855484,
0.028928572311997414,
1
] | 24.299999 | 0 | 486 | 0 | false | 486 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.10183675587177277,
0.06627143919467926,
0.11679378896951675,
-1.8852242231369019,
-0.04445977881550789,
2.054387331008911,
2.660130023956299,
0.03297385945916176
] | [
0.2514285743236542,
0.0657142847776413,
-0.5600000023841858,
-0.12107142806053162,
0.018214285373687744,
0.031071428209543228,
1
] | 24.35 | 0 | 487 | 0 | false | 487 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.10184155404567719,
0.07334398478269577,
0.11334409564733505,
-1.8878823518753052,
-0.0524839349091053,
2.0542616844177246,
2.660025119781494,
0.03297385945916176
] | [
0.3571428656578064,
0.10571428388357162,
-0.47999998927116394,
-0.1307142823934555,
0.025714285671710968,
0.031071428209543228,
1
] | 24.4 | 0 | 488 | 0 | false | 488 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.10192220658063889,
0.0803665742278099,
0.11047501862049103,
-1.890310287475586,
-0.060933277010917664,
2.0542705059051514,
2.660029649734497,
0.03297385945916176
] | [
0.3628571331501007,
0.08857142925262451,
-0.43714284896850586,
-0.12642857432365417,
0.03214285895228386,
0.03857142850756645,
1
] | 24.450001 | 0 | 489 | 0 | false | 489 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.1019541472196579,
0.08654603362083435,
0.10871046781539917,
-1.89219331741333,
-0.06912828236818314,
2.054227590560913,
2.660008668899536,
0.03297385945916176
] | [
0.4285714328289032,
0.14571428298950195,
-0.45428571105003357,
-0.1339285671710968,
0.04392857104539871,
0.03750000149011612,
1
] | 24.5 | 0 | 490 | 0 | false | 490 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.10193483531475067,
0.09146006405353546,
0.1068810448050499,
-1.8950285911560059,
-0.07661525905132294,
2.0543088912963867,
2.659947633743286,
0.03297780081629753
] | [
0.5285714268684387,
0.25999999046325684,
-0.345714271068573,
-0.15642857551574707,
0.05892857164144516,
0.039642855525016785,
1
] | 24.549999 | 0 | 491 | 0 | false | 491 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.10197296738624573,
0.09589652717113495,
0.105438232421875,
-1.8976067304611206,
-0.08381718397140503,
2.0542099475860596,
2.6598703861236572,
0.033092714846134186
] | [
0.6142857074737549,
0.4114285707473755,
-0.3571428656578064,
-0.19285714626312256,
0.07500000298023224,
0.03642857074737549,
1
] | 24.6 | 0 | 492 | 0 | false | 492 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.1021343469619751,
0.10299242287874222,
0.10502266138792038,
-1.9004956483840942,
-0.08801975101232529,
2.059520721435547,
2.659867286682129,
0.033092714846134186
] | [
0.6657142639160156,
0.5114285945892334,
-0.33714285492897034,
-0.22607143223285675,
0.08892857283353806,
0.031071428209543228,
1
] | 24.65 | 0 | 493 | 0 | false | 493 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.10226503014564514,
0.1131255105137825,
0.10481700301170349,
-1.9000741243362427,
-0.09502830356359482,
2.06149959564209,
2.6598589420318604,
0.033092714846134186
] | [
0.6371428370475769,
0.5199999809265137,
-0.345714271068573,
-0.23357142508029938,
0.0867857113480568,
0.03214285895228386,
1
] | 24.700001 | 0 | 494 | 0 | false | 494 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.10227906703948975,
0.1209169328212738,
0.10460193455219269,
-1.899177074432373,
-0.1040201261639595,
2.061368227005005,
2.659857988357544,
0.033092714846134186
] | [
0.6142857074737549,
0.47428572177886963,
-0.37142857909202576,
-0.22607143223285675,
0.0835714265704155,
0.03750000149011612,
1
] | 24.75 | 0 | 495 | 0 | false | 495 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.10284291952848434,
0.13062144815921783,
0.10463756322860718,
-1.8978074789047241,
-0.11615703999996185,
2.0610578060150146,
2.659856081008911,
0.03300275281071663
] | [
0.6600000262260437,
0.5371428728103638,
-0.345714271068573,
-0.2410714328289032,
0.0835714265704155,
0.04285714402794838,
1
] | 24.799999 | 0 | 496 | 0 | false | 496 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.10486795753240585,
0.14109006524085999,
0.10489583760499954,
-1.8953441381454468,
-0.1276196986436844,
2.061561107635498,
2.6598610877990723,
0.03300275281071663
] | [
0.7057142853736877,
0.5685714483261108,
-0.4028571546077728,
-0.26892855763435364,
0.09214285761117935,
0.03750000149011612,
1
] | 24.85 | 0 | 497 | 0 | false | 497 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.10750352591276169,
0.15172120928764343,
0.10499143600463867,
-1.8929738998413086,
-0.14414937794208527,
2.0609569549560547,
2.6598544120788574,
0.03300275281071663
] | [
0.654285728931427,
0.5571428537368774,
-0.5028571486473083,
-0.26892855763435364,
0.09000000357627869,
0.039642855525016785,
1
] | 24.9 | 0 | 498 | 0 | false | 498 |
tf.Tensor(b'make coffee', shape=(), dtype=string) | [
0.11105433851480484,
0.16254091262817383,
0.1052049845457077,
-1.8918333053588867,
-0.1599535346031189,
2.062075138092041,
2.6601624488830566,
0.03300275281071663
] | [
0.5485714077949524,
0.48571428656578064,
-0.5428571701049805,
-0.2582142949104309,
0.0803571417927742,
0.04178571328520775,
1
] | 24.950001 | 0 | 499 | 0 | false | 499 |