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phospho-app
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table_cleanup_2bot_bboxes

Tasks:
Robotics
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parquet
Size:
1K - 10K
Tags:
phosphobot
so100
phospho-dk
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sequencelengths
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observation.state
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17.6
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episode_index
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frame_index
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index
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sequencelengths
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2
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40
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2.05
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41
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2.1
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42
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2.15
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0
43
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2.2
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0
44
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2.25
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0
45
45
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46
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2.35
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0
47
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48
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2.45
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49
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2.5
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50
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2.55
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51
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2.6
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52
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2.65
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53
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2.7
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54
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2.75
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0
55
55
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2.8
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0
56
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2.85
0
0
57
57
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2.9
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0
58
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2.95
0
0
59
59
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3
0
0
60
60
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3.05
0
0
61
61
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3.1
0
0
62
62
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3.15
0
0
63
63
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3.2
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0
64
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3.25
0
0
65
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3.3
0
0
66
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3.35
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0
67
67
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3.4
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0
68
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3.45
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0
69
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3.5
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0
70
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3.55
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0
71
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3.6
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0
72
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3.65
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0
73
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3.7
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0
74
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3.75
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0
75
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3.8
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0
76
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3.85
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0
77
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3.9
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0
78
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3.95
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0
79
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4
0
0
80
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4.05
0
0
81
81
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4.1
0
0
82
82
[ 0, 0, 0.998046875, 0.998046875 ]
[ 0.4526348412036896, 0.29766494035720825, 0.13042020797729492, 1.078651785850525, -0.38358885049819946, 1.3072707653045654, 0, 0, 0, 0, 0, 0 ]
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4.15
0
0
83
83
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[ 0.4526348412036896, 0.31454285979270935, 0.13042020797729492, 1.05870521068573, -0.38665756583213806, 1.3072707653045654, 0, 0, 0, 0, 0, 0 ]
[ 0.4526348412036896, 0.29766494035720825, 0.13042020797729492, 1.078651785850525, -0.38358885049819946, 1.3072707653045654, 0, 0, 0, 0, 0, 0 ]
4.2
0
0
84
84
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[ 0.44803178310394287, 0.31147414445877075, 0.13042020797729492, 1.0679113864898682, -0.38665756583213806, 1.2980647087097168, 0, 0, 0, 0, 0, 0 ]
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4.25
0
0
85
85
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4.3
0
0
86
86
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4.35
0
0
87
87
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4.4
0
0
88
88
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[ 0.4633753299713135, 0.27771833539009094, 0.13195456564426422, 1.0740487575531006, -0.38819190859794617, -0.15957295894622803, 0, 0, 0, 0, 0, 0 ]
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4.45
0
0
89
89
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[ 0.461840957403183, 0.22401589155197144, 0.11200794577598572, 1.1400260925292969, -0.38819190859794617, -0.15803860127925873, 0, 0, 0, 0, 0, 0 ]
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4.5
0
0
90
90
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[ 0.4388256371021271, 0.13962633907794952, 0.04603066295385361, 1.2366904020309448, -0.38819190859794617, -0.15650424361228943, 0, 0, 0, 0, 0, 0 ]
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4.55
0
0
91
91
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4.6
0
0
92
92
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[ 0.22401589155197144, -0.04909937083721161, -0.15803860127925873, 1.4392253160476685, -0.37591707706451416, -0.15650424361228943, 0, 0, 0, 0, 0, 0 ]
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4.65
0
0
93
93
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[ 0.07825212180614471, -0.07671777158975601, -0.19793184101581573, 1.453034520149231, -0.37591707706451416, -0.15650424361228943, 0, 0, 0, 0, 0, 0 ]
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4.7
0
0
94
94
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4.75
0
0
95
95
[ 0, 0, 0.998046875, 0.998046875 ]
[ -0.25163426995277405, -0.07211470603942871, -0.19946619868278503, 1.3993321657180786, -0.27618396282196045, -0.15650424361228943, 0, 0, 0, 0, 0, 0 ]
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4.8
0
0
96
96
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4.85
0
0
97
97
[ 0, 0, 0.998046875, 0.998046875 ]
[ -0.4464974105358124, 0.09819874167442322, -0.20713797211647034, 1.2014002799987793, -0.14576375484466553, -0.15036682784557343, 0, 0, 0, 0, 0, 0 ]
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4.9
0
0
98
98
[ 0, 0, 0.998046875, 0.998046875 ]
[ -0.4587722718715668, 0.19486314058303833, -0.20713797211647034, 1.0464303493499756, -0.09819874167442322, -0.15036682784557343, 0, 0, 0, 0, 0, 0 ]
[ -0.4464974105358124, 0.09819874167442322, -0.20713797211647034, 1.2014002799987793, -0.14576375484466553, -0.15036682784557343, 0, 0, 0, 0, 0, 0 ]
4.95
0
0
99
99
[ 0, 0, 0.998046875, 0.998046875 ]
End of preview. Expand in Data Studio

table_cleanup_2bot

This dataset was generated using a phospho starter pack.

This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot and RLDS.

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