Datasets:
nimitt0
/
pick_objects_multiscene

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xet
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observation.state
list
action
list
timestamp
float32
frame_index
int64
episode_index
int64
index
int64
task_index
int64
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1.2
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1.266667
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1.3
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1.333333
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1.4
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1.433333
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1.466667
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1.5
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1.6
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1.633333
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1.666667
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1.7
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1.733333
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1.8
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1.833333
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1.866667
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1.9
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1.933333
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1.966667
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2
60
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2.033333
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2.066667
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2.1
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2.133333
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2.166667
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2.2
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2.233333
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2.3
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2.4
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2.5
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2.533333
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2.6
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2.633333
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2.666667
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2.7
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2.733333
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2.8
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2.833333
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2.866667
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2.9
87
95
16,753
2
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2.933333
88
95
16,754
2
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[ -0.12066313624382019, 1.1079097986221313, -0.5693447589874268, 0.6380506157875061, 0.12763725221157074, 0.03750962018966675 ]
2.966667
89
95
16,755
2
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[ -0.12108147144317627, 1.0832409858703613, -0.5977744460105896, 0.6521283388137817, 0.12707674503326416, 0.035712797194719315 ]
3
90
95
16,756
2
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3.033333
91
95
16,757
2
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[ -0.12162352353334427, 1.0816911458969116, -0.654400110244751, 0.6802580952644348, 0.12656673789024353, 0.03371574357151985 ]
3.066667
92
95
16,758
2
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3.1
93
95
16,759
2
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[ -0.12182353436946869, 1.0976473093032837, -0.710654616355896, 0.7073901295661926, 0.12645626068115234, 0.03412064164876938 ]
3.133333
94
95
16,760
2
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[ -0.12188516557216644, 1.1063003540039062, -0.7386501431465149, 0.7209031581878662, 0.12645143270492554, 0.03423396497964859 ]
3.166667
95
95
16,761
2
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[ -0.12193828076124191, 1.114742398262024, -0.7665271759033203, 0.7343840003013611, 0.12646543979644775, 0.034309469163417816 ]
3.2
96
95
16,762
2
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[ -0.12198818475008011, 1.1228216886520386, -0.7942425608634949, 0.7478334903717041, 0.12649264931678772, 0.03436103090643883 ]
3.233333
97
95
16,763
2
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[ -0.12203802913427353, 1.1304653882980347, -0.8217325806617737, 0.761253297328949, 0.12652994692325592, 0.0343959778547287 ]
3.266667
98
95
16,764
2
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[ -0.1220901608467102, 1.137627124786377, -0.8488993644714355, 0.7746435403823853, 0.12657488882541656, 0.034419964998960495 ]
3.3
99
95
16,765
2
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[ -0.12214483320713043, 1.1442443132400513, -0.8754804730415344, 0.7880069017410278, 0.12662680447101593, 0.0344366692006588 ]
3.333333
100
95
16,766
2
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[ -0.12220044434070587, 1.1501317024230957, -0.9005771279335022, 0.8013454675674438, 0.1266825646162033, 0.034447867423295975 ]
3.366667
101
95
16,767
2
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[ -0.12225507199764252, 1.1546965837478638, -0.9204632639884949, 0.8146644234657288, 0.126735121011734, 0.034459713846445084 ]
3.4
102
95
16,768
2
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[ -0.12230388075113297, 1.158228874206543, -0.933454692363739, 0.8279852271080017, 0.1267823725938797, 0.03446153551340103 ]
3.433333
103
95
16,769
2
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[ -0.12233565002679825, 1.1605567932128906, -0.9411253333091736, 0.8413212299346924, 0.12681658565998077, 0.034458160400390625 ]
3.466667
104
95
16,770
2
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[ -0.12234646826982498, 1.161554217338562, -0.9450819492340088, 0.8546809554100037, 0.12683123350143433, 0.03445379063487053 ]
3.5
105
95
16,771
2
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[ -0.12233544886112213, 1.1613339185714722, -0.9465625286102295, 0.8680700063705444, 0.1268230527639389, 0.03445034101605415 ]
3.533333
106
95
16,772
2
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[ -0.1223023310303688, 1.1601200103759766, -0.9464513063430786, 0.8814913034439087, 0.12679146230220795, 0.034448280930519104 ]
3.566667
107
95
16,773
2
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3.6
108
95
16,774
2
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3.633333
109
95
16,775
2
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[ -0.12208303064107895, 1.1527501344680786, -0.9417105317115784, 0.921937108039856, 0.12656959891319275, 0.034452132880687714 ]
3.666667
110
95
16,776
2
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[ -0.12198097258806229, 1.1496164798736572, -0.9396065473556519, 0.9354442954063416, 0.12646602094173431, 0.03445596247911453 ]
3.7
111
95
16,777
2
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[ -0.12187253683805466, 1.1463314294815063, -0.9374845623970032, 0.9489441514015198, 0.1263563185930252, 0.034460797905921936 ]
3.733333
112
95
16,778
2
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3.766667
113
95
16,779
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[ -0.12166125327348709, 1.139564037322998, -0.9334489107131958, 0.9758158922195435, 0.12614226341247559, 0.03447259962558746 ]
3.8
114
95
16,780
2
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3.833333
115
95
16,781
2
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3.866667
116
95
16,782
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3.9
117
95
16,783
2
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3.933333
118
95
16,784
2
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3.966667
119
95
16,785
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4
120
95
16,786
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4.033333
121
95
16,787
2
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4.066667
122
95
16,788
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4.1
123
95
16,789
2
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4.133333
124
95
16,790
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[ -0.12135902792215347, 1.1160054206848145, -0.9234433174133301, 1.0463831424713135, 0.12580537796020508, 0.03454362228512764 ]
4.166667
125
95
16,791
2
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4.2
126
95
16,792
2
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4.233333
127
95
16,793
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0
0
96
16,794
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0.033333
1
96
16,795
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0.066667
2
96
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0.1
3
96
16,797
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0.133333
4
96
16,798
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0.166667
5
96
16,799
2