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Datasets:
Celina717
/
fly_cylinders_pref_lerobot

Tasks:
Robotics
Modalities:
Image
Text
Time-series
Formats:
parquet
Size:
1K - 10K
Tags:
LeRobot
uav
stl
preference-pairs
lerobot
Libraries:
Datasets
Dask
Polars
License:
Dataset card Data Studio Files
xet
 Community
1
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image
image
wrist_image
image
state
list
actions
list
stl_text
string
pair_id
int64
preference
int64
timestamp
float32
frame_index
int64
episode_index
int64
index
int64
task_index
int64
[ 2.0941998958587646, -0.09049998223781586, 0.029398992657661438 ]
[ 1.899319052696228, -0.03019864484667778, 0.041109271347522736 ]
eventually[50,70] (y >= 0.25)
0
1
0
0
0
0
0
[ 1.899319052696228, -0.03019864484667778, 0.041109271347522736 ]
[ 1.8636213541030884, -0.025714470073580742, 0.05112864822149277 ]
eventually[50,70] (y >= 0.25)
0
1
0.1
1
0
1
0
[ 1.8636213541030884, -0.025714470073580742, 0.05112864822149277 ]
[ 1.7968075275421143, 0.05838902294635773, 0.0530952550470829 ]
eventually[50,70] (y >= 0.25)
0
1
0.2
2
0
2
0
[ 1.7968075275421143, 0.05838902294635773, 0.0530952550470829 ]
[ 1.7445361614227295, 0.08234257251024246, 0.06684792786836624 ]
eventually[50,70] (y >= 0.25)
0
1
0.3
3
0
3
0
[ 1.7445361614227295, 0.08234257251024246, 0.06684792786836624 ]
[ 1.7295911312103271, 0.11987559497356415, 0.073808953166008 ]
eventually[50,70] (y >= 0.25)
0
1
0.4
4
0
4
0
[ 1.7295911312103271, 0.11987559497356415, 0.073808953166008 ]
[ 1.6942082643508911, 0.11726538091897964, 0.08848302811384201 ]
eventually[50,70] (y >= 0.25)
0
1
0.5
5
0
5
0
[ 1.6942082643508911, 0.11726538091897964, 0.08848302811384201 ]
[ 1.6593900918960571, 0.13069087266921997, 0.10813245177268982 ]
eventually[50,70] (y >= 0.25)
0
1
0.6
6
0
6
0
[ 1.6593900918960571, 0.13069087266921997, 0.10813245177268982 ]
[ 1.6190482378005981, 0.13796499371528625, 0.12417121231555939 ]
eventually[50,70] (y >= 0.25)
0
1
0.7
7
0
7
0
[ 1.6190482378005981, 0.13796499371528625, 0.12417121231555939 ]
[ 1.5778858661651611, 0.13477091491222382, 0.14125590026378632 ]
eventually[50,70] (y >= 0.25)
0
1
0.8
8
0
8
0
[ 1.5778858661651611, 0.13477091491222382, 0.14125590026378632 ]
[ 1.506447196006775, 0.13148720562458038, 0.16741713881492615 ]
eventually[50,70] (y >= 0.25)
0
1
0.9
9
0
9
0
[ 1.506447196006775, 0.13148720562458038, 0.16741713881492615 ]
[ 1.4278717041015625, 0.1285513937473297, 0.1928970366716385 ]
eventually[50,70] (y >= 0.25)
0
1
1
10
0
10
0
[ 1.4278717041015625, 0.1285513937473297, 0.1928970366716385 ]
[ 1.3460769653320312, 0.12426670640707016, 0.21471154689788818 ]
eventually[50,70] (y >= 0.25)
0
1
1.1
11
0
11
0
[ 1.3460769653320312, 0.12426670640707016, 0.21471154689788818 ]
[ 1.2561166286468506, 0.1213710755109787, 0.24319882690906525 ]
eventually[50,70] (y >= 0.25)
0
1
1.2
12
0
12
0
[ 1.2561166286468506, 0.1213710755109787, 0.24319882690906525 ]
[ 1.1736598014831543, 0.11560393124818802, 0.2702012062072754 ]
eventually[50,70] (y >= 0.25)
0
1
1.3
13
0
13
0
[ 1.1736598014831543, 0.11560393124818802, 0.2702012062072754 ]
[ 1.0774694681167603, 0.11188874393701553, 0.30046510696411133 ]
eventually[50,70] (y >= 0.25)
0
1
1.4
14
0
14
0
[ 1.0774694681167603, 0.11188874393701553, 0.30046510696411133 ]
[ 0.9636279344558716, 0.10306552797555923, 0.32992589473724365 ]
eventually[50,70] (y >= 0.25)
0
1
1.5
15
0
15
0
[ 0.9636279344558716, 0.10306552797555923, 0.32992589473724365 ]
[ 0.8534695506095886, 0.09450418502092361, 0.3586525022983551 ]
eventually[50,70] (y >= 0.25)
0
1
1.6
16
0
16
0
[ 0.8534695506095886, 0.09450418502092361, 0.3586525022983551 ]
[ 0.7369858622550964, 0.08103517442941666, 0.3848016858100891 ]
eventually[50,70] (y >= 0.25)
0
1
1.7
17
0
17
0
[ 0.7369858622550964, 0.08103517442941666, 0.3848016858100891 ]
[ 0.6282050609588623, 0.07072214037179947, 0.4089544117450714 ]
eventually[50,70] (y >= 0.25)
0
1
1.8
18
0
18
0
[ 0.6282050609588623, 0.07072214037179947, 0.4089544117450714 ]
[ 0.503021240234375, 0.060217034071683884, 0.4332735240459442 ]
eventually[50,70] (y >= 0.25)
0
1
1.9
19
0
19
0
[ 0.503021240234375, 0.060217034071683884, 0.4332735240459442 ]
[ 0.3822809159755707, 0.04738622158765793, 0.4603099226951599 ]
eventually[50,70] (y >= 0.25)
0
1
2
20
0
20
0
[ 0.3822809159755707, 0.04738622158765793, 0.4603099226951599 ]
[ 0.2594219446182251, 0.03086666576564312, 0.4874616861343384 ]
eventually[50,70] (y >= 0.25)
0
1
2.1
21
0
21
0
[ 0.2594219446182251, 0.03086666576564312, 0.4874616861343384 ]
[ 0.12190093100070953, 0.010277342051267624, 0.509127676486969 ]
eventually[50,70] (y >= 0.25)
0
1
2.2
22
0
22
0
[ 0.12190093100070953, 0.010277342051267624, 0.509127676486969 ]
[ -0.029814086854457855, 0.0008392873569391668, 0.5338510274887085 ]
eventually[50,70] (y >= 0.25)
0
1
2.3
23
0
23
0
[ -0.029814086854457855, 0.0008392873569391668, 0.5338510274887085 ]
[ -0.1640205979347229, -0.009160703979432583, 0.5514637231826782 ]
eventually[50,70] (y >= 0.25)
0
1
2.4
24
0
24
0
[ -0.1640205979347229, -0.009160703979432583, 0.5514637231826782 ]
[ -0.31035465002059937, -0.01948639191687107, 0.5710803270339966 ]
eventually[50,70] (y >= 0.25)
0
1
2.5
25
0
25
0
[ -0.31035465002059937, -0.01948639191687107, 0.5710803270339966 ]
[ -0.448609858751297, -0.020856700837612152, 0.5865454077720642 ]
eventually[50,70] (y >= 0.25)
0
1
2.6
26
0
26
0
[ -0.448609858751297, -0.020856700837612152, 0.5865454077720642 ]
[ -0.5777679085731506, -0.015650037676095963, 0.599539577960968 ]
eventually[50,70] (y >= 0.25)
0
1
2.7
27
0
27
0
[ -0.5777679085731506, -0.015650037676095963, 0.599539577960968 ]
[ -0.7058420181274414, -0.016812259331345558, 0.6065967082977295 ]
eventually[50,70] (y >= 0.25)
0
1
2.8
28
0
28
0
[ -0.7058420181274414, -0.016812259331345558, 0.6065967082977295 ]
[ -0.8184733390808105, -0.017472930252552032, 0.6194117665290833 ]
eventually[50,70] (y >= 0.25)
0
1
2.9
29
0
29
0
[ -0.8184733390808105, -0.017472930252552032, 0.6194117665290833 ]
[ -0.9221609234809875, -0.016109906136989594, 0.6319215297698975 ]
eventually[50,70] (y >= 0.25)
0
1
3
30
0
30
0
[ -0.9221609234809875, -0.016109906136989594, 0.6319215297698975 ]
[ -1.0246496200561523, -0.013754324056208134, 0.6423658132553101 ]
eventually[50,70] (y >= 0.25)
0
1
3.1
31
0
31
0
[ -1.0246496200561523, -0.013754324056208134, 0.6423658132553101 ]
[ -1.104638695716858, -0.01225193403661251, 0.6517961621284485 ]
eventually[50,70] (y >= 0.25)
0
1
3.2
32
0
32
0
[ -1.104638695716858, -0.01225193403661251, 0.6517961621284485 ]
[ -1.2027374505996704, -0.011554745957255363, 0.6555397510528564 ]
eventually[50,70] (y >= 0.25)
0
1
3.3
33
0
33
0
[ -1.2027374505996704, -0.011554745957255363, 0.6555397510528564 ]
[ -1.2855353355407715, -0.005450033582746983, 0.6678606867790222 ]
eventually[50,70] (y >= 0.25)
0
1
3.4
34
0
34
0
[ -1.2855353355407715, -0.005450033582746983, 0.6678606867790222 ]
[ -1.3573764562606812, 0.00006704985571559519, 0.6766459941864014 ]
eventually[50,70] (y >= 0.25)
0
1
3.5
35
0
35
0
[ -1.3573764562606812, 0.00006704985571559519, 0.6766459941864014 ]
[ -1.4383223056793213, 0.006988067179918289, 0.6818094849586487 ]
eventually[50,70] (y >= 0.25)
0
1
3.6
36
0
36
0
[ -1.4383223056793213, 0.006988067179918289, 0.6818094849586487 ]
[ -1.5175533294677734, 0.013499440625309944, 0.6900166869163513 ]
eventually[50,70] (y >= 0.25)
0
1
3.7
37
0
37
0
[ -1.5175533294677734, 0.013499440625309944, 0.6900166869163513 ]
[ -1.595289707183838, 0.023383837193250656, 0.6973283290863037 ]
eventually[50,70] (y >= 0.25)
0
1
3.8
38
0
38
0
[ -1.595289707183838, 0.023383837193250656, 0.6973283290863037 ]
[ -1.676692008972168, 0.03332468494772911, 0.6985034942626953 ]
eventually[50,70] (y >= 0.25)
0
1
3.9
39
0
39
0
[ -1.676692008972168, 0.03332468494772911, 0.6985034942626953 ]
[ -1.754870057106018, 0.04025416821241379, 0.7017514705657959 ]
eventually[50,70] (y >= 0.25)
0
1
4
40
0
40
0
[ -1.754870057106018, 0.04025416821241379, 0.7017514705657959 ]
[ -1.8280830383300781, 0.05744274705648422, 0.7055800557136536 ]
eventually[50,70] (y >= 0.25)
0
1
4.1
41
0
41
0
[ -1.8280830383300781, 0.05744274705648422, 0.7055800557136536 ]
[ -1.9036778211593628, 0.0711340680718422, 0.7023853659629822 ]
eventually[50,70] (y >= 0.25)
0
1
4.2
42
0
42
0
[ -1.9036778211593628, 0.0711340680718422, 0.7023853659629822 ]
[ -1.9898179769515991, 0.09025220572948456, 0.7019293904304504 ]
eventually[50,70] (y >= 0.25)
0
1
4.3
43
0
43
0
[ -1.9898179769515991, 0.09025220572948456, 0.7019293904304504 ]
[ -2.078122615814209, 0.10639743506908417, 0.6977007389068604 ]
eventually[50,70] (y >= 0.25)
0
1
4.4
44
0
44
0
[ -2.078122615814209, 0.10639743506908417, 0.6977007389068604 ]
[ -2.170943021774292, 0.12256056070327759, 0.6904274225234985 ]
eventually[50,70] (y >= 0.25)
0
1
4.5
45
0
45
0
[ -2.170943021774292, 0.12256056070327759, 0.6904274225234985 ]
[ -2.241471529006958, 0.1427781730890274, 0.6847371459007263 ]
eventually[50,70] (y >= 0.25)
0
1
4.6
46
0
46
0
[ -2.241471529006958, 0.1427781730890274, 0.6847371459007263 ]
[ -2.313262939453125, 0.16041156649589539, 0.6743900179862976 ]
eventually[50,70] (y >= 0.25)
0
1
4.7
47
0
47
0
[ -2.313262939453125, 0.16041156649589539, 0.6743900179862976 ]
[ -2.394317388534546, 0.18175962567329407, 0.6628129482269287 ]
eventually[50,70] (y >= 0.25)
0
1
4.8
48
0
48
0
[ -2.394317388534546, 0.18175962567329407, 0.6628129482269287 ]
[ -2.4616148471832275, 0.20409581065177917, 0.6559262275695801 ]
eventually[50,70] (y >= 0.25)
0
1
4.9
49
0
49
0
[ -2.4616148471832275, 0.20409581065177917, 0.6559262275695801 ]
[ -2.5299534797668457, 0.22317290306091309, 0.6471392512321472 ]
eventually[50,70] (y >= 0.25)
0
1
5
50
0
50
0
[ -2.5299534797668457, 0.22317290306091309, 0.6471392512321472 ]
[ -2.59452486038208, 0.2451813966035843, 0.6378812193870544 ]
eventually[50,70] (y >= 0.25)
0
1
5.1
51
0
51
0
[ -2.59452486038208, 0.2451813966035843, 0.6378812193870544 ]
[ -2.6675784587860107, 0.26723143458366394, 0.6288148760795593 ]
eventually[50,70] (y >= 0.25)
0
1
5.2
52
0
52
0
[ -2.6675784587860107, 0.26723143458366394, 0.6288148760795593 ]
[ -2.7395122051239014, 0.28439605236053467, 0.6161752939224243 ]
eventually[50,70] (y >= 0.25)
0
1
5.3
53
0
53
0
[ -2.7395122051239014, 0.28439605236053467, 0.6161752939224243 ]
[ -2.808342933654785, 0.29340890049934387, 0.6031178832054138 ]
eventually[50,70] (y >= 0.25)
0
1
5.4
54
0
54
0
[ -2.808342933654785, 0.29340890049934387, 0.6031178832054138 ]
[ -2.877930164337158, 0.30348172783851624, 0.5916233062744141 ]
eventually[50,70] (y >= 0.25)
0
1
5.5
55
0
55
0
[ -2.877930164337158, 0.30348172783851624, 0.5916233062744141 ]
[ -2.936596632003784, 0.31494244933128357, 0.5775507092475891 ]
eventually[50,70] (y >= 0.25)
0
1
5.6
56
0
56
0
[ -2.936596632003784, 0.31494244933128357, 0.5775507092475891 ]
[ -2.983880043029785, 0.32496708631515503, 0.5666418075561523 ]
eventually[50,70] (y >= 0.25)
0
1
5.7
57
0
57
0
[ -2.983880043029785, 0.32496708631515503, 0.5666418075561523 ]
[ -3.0431180000305176, 0.3320700228214264, 0.5569782853126526 ]
eventually[50,70] (y >= 0.25)
0
1
5.8
58
0
58
0
[ -3.0431180000305176, 0.3320700228214264, 0.5569782853126526 ]
[ -3.0930285453796387, 0.3354265093803406, 0.5467958450317383 ]
eventually[50,70] (y >= 0.25)
0
1
5.9
59
0
59
0
[ -3.0930285453796387, 0.3354265093803406, 0.5467958450317383 ]
[ -3.1399312019348145, 0.327664315700531, 0.5335982441902161 ]
eventually[50,70] (y >= 0.25)
0
1
6
60
0
60
0
[ -3.1399312019348145, 0.327664315700531, 0.5335982441902161 ]
[ -3.1952967643737793, 0.3223816752433777, 0.5215198993682861 ]
eventually[50,70] (y >= 0.25)
0
1
6.1
61
0
61
0
[ -3.1952967643737793, 0.3223816752433777, 0.5215198993682861 ]
[ -3.2424392700195312, 0.31290990114212036, 0.5094895958900452 ]
eventually[50,70] (y >= 0.25)
0
1
6.2
62
0
62
0
[ -3.2424392700195312, 0.31290990114212036, 0.5094895958900452 ]
[ -3.28584885597229, 0.29943665862083435, 0.49583059549331665 ]
eventually[50,70] (y >= 0.25)
0
1
6.3
63
0
63
0
[ -3.28584885597229, 0.29943665862083435, 0.49583059549331665 ]
[ -3.324718475341797, 0.2914489507675171, 0.48676881194114685 ]
eventually[50,70] (y >= 0.25)
0
1
6.4
64
0
64
0
[ -3.324718475341797, 0.2914489507675171, 0.48676881194114685 ]
[ -3.35353946685791, 0.27854928374290466, 0.47638773918151855 ]
eventually[50,70] (y >= 0.25)
0
1
6.5
65
0
65
0
[ -3.35353946685791, 0.27854928374290466, 0.47638773918151855 ]
[ -3.38382625579834, 0.26482751965522766, 0.46596676111221313 ]
eventually[50,70] (y >= 0.25)
0
1
6.6
66
0
66
0
[ -3.38382625579834, 0.26482751965522766, 0.46596676111221313 ]
[ -3.4159553050994873, 0.25098827481269836, 0.45720556378364563 ]
eventually[50,70] (y >= 0.25)
0
1
6.7
67
0
67
0
[ -3.4159553050994873, 0.25098827481269836, 0.45720556378364563 ]
[ -3.438436985015869, 0.23066702485084534, 0.4455905258655548 ]
eventually[50,70] (y >= 0.25)
0
1
6.8
68
0
68
0
[ -3.438436985015869, 0.23066702485084534, 0.4455905258655548 ]
[ -3.460782766342163, 0.21995210647583008, 0.435280442237854 ]
eventually[50,70] (y >= 0.25)
0
1
6.9
69
0
69
0
[ -3.460782766342163, 0.21995210647583008, 0.435280442237854 ]
[ -3.485607624053955, 0.20223692059516907, 0.4279860556125641 ]
eventually[50,70] (y >= 0.25)
0
1
7
70
0
70
0
[ -3.485607624053955, 0.20223692059516907, 0.4279860556125641 ]
[ -3.499551773071289, 0.18656837940216064, 0.419626384973526 ]
eventually[50,70] (y >= 0.25)
0
1
7.1
71
0
71
0
[ -3.499551773071289, 0.18656837940216064, 0.419626384973526 ]
[ -3.5039987564086914, 0.17720875144004822, 0.4135156571865082 ]
eventually[50,70] (y >= 0.25)
0
1
7.2
72
0
72
0
[ -3.5039987564086914, 0.17720875144004822, 0.4135156571865082 ]
[ -3.518688201904297, 0.16573721170425415, 0.40882179141044617 ]
eventually[50,70] (y >= 0.25)
0
1
7.3
73
0
73
0
[ -3.518688201904297, 0.16573721170425415, 0.40882179141044617 ]
[ -3.52189040184021, 0.15270674228668213, 0.40418753027915955 ]
eventually[50,70] (y >= 0.25)
0
1
7.4
74
0
74
0
[ -3.52189040184021, 0.15270674228668213, 0.40418753027915955 ]
[ -3.527684211730957, 0.1389888972043991, 0.3994024991989136 ]
eventually[50,70] (y >= 0.25)
0
1
7.5
75
0
75
0
[ -3.527684211730957, 0.1389888972043991, 0.3994024991989136 ]
[ -3.5366950035095215, 0.12570905685424805, 0.3918883800506592 ]
eventually[50,70] (y >= 0.25)
0
1
7.6
76
0
76
0
[ -3.5366950035095215, 0.12570905685424805, 0.3918883800506592 ]
[ -3.531715154647827, 0.11510901153087616, 0.38492050766944885 ]
eventually[50,70] (y >= 0.25)
0
1
7.7
77
0
77
0
[ -3.531715154647827, 0.11510901153087616, 0.38492050766944885 ]
[ -3.5302278995513916, 0.10334496945142746, 0.37645938992500305 ]
eventually[50,70] (y >= 0.25)
0
1
7.8
78
0
78
0
[ -3.5302278995513916, 0.10334496945142746, 0.37645938992500305 ]
[ -3.5258982181549072, 0.09848614037036896, 0.37221843004226685 ]
eventually[50,70] (y >= 0.25)
0
1
7.9
79
0
79
0
[ -3.5258982181549072, 0.09848614037036896, 0.37221843004226685 ]
[ -3.5249149799346924, 0.09016978740692139, 0.3658934533596039 ]
eventually[50,70] (y >= 0.25)
0
1
8
80
0
80
0
[ -3.5249149799346924, 0.09016978740692139, 0.3658934533596039 ]
[ -3.521496534347534, 0.08484682440757751, 0.36112627387046814 ]
eventually[50,70] (y >= 0.25)
0
1
8.1
81
0
81
0
[ -3.521496534347534, 0.08484682440757751, 0.36112627387046814 ]
[ -3.513939619064331, 0.07893048226833344, 0.35790565609931946 ]
eventually[50,70] (y >= 0.25)
0
1
8.2
82
0
82
0
[ -3.513939619064331, 0.07893048226833344, 0.35790565609931946 ]
[ -3.507479429244995, 0.0755082219839096, 0.35467928647994995 ]
eventually[50,70] (y >= 0.25)
0
1
8.3
83
0
83
0
[ -3.507479429244995, 0.0755082219839096, 0.35467928647994995 ]
[ -3.505624294281006, 0.07005676627159119, 0.350317120552063 ]
eventually[50,70] (y >= 0.25)
0
1
8.4
84
0
84
0
[ -3.505624294281006, 0.07005676627159119, 0.350317120552063 ]
[ -3.507065534591675, 0.06768589466810226, 0.3460412323474884 ]
eventually[50,70] (y >= 0.25)
0
1
8.5
85
0
85
0
[ -3.507065534591675, 0.06768589466810226, 0.3460412323474884 ]
[ -3.5002787113189697, 0.062309540808200836, 0.34306326508522034 ]
eventually[50,70] (y >= 0.25)
0
1
8.6
86
0
86
0
[ -3.5002787113189697, 0.062309540808200836, 0.34306326508522034 ]
[ -3.489733934402466, 0.05378197506070137, 0.340178519487381 ]
eventually[50,70] (y >= 0.25)
0
1
8.7
87
0
87
0
[ -3.489733934402466, 0.05378197506070137, 0.340178519487381 ]
[ -3.483309268951416, 0.04752010107040405, 0.3363799452781677 ]
eventually[50,70] (y >= 0.25)
0
1
8.8
88
0
88
0
[ -3.483309268951416, 0.04752010107040405, 0.3363799452781677 ]
[ -3.4685845375061035, 0.04437408596277237, 0.33154749870300293 ]
eventually[50,70] (y >= 0.25)
0
1
8.9
89
0
89
0
[ -3.4685845375061035, 0.04437408596277237, 0.33154749870300293 ]
[ -3.445984363555908, 0.04435562714934349, 0.3276766538619995 ]
eventually[50,70] (y >= 0.25)
0
1
9
90
0
90
0
[ -3.445984363555908, 0.04435562714934349, 0.3276766538619995 ]
[ -3.4438493251800537, 0.039732906967401505, 0.32394134998321533 ]
eventually[50,70] (y >= 0.25)
0
1
9.1
91
0
91
0
[ -3.4438493251800537, 0.039732906967401505, 0.32394134998321533 ]
[ -3.4332964420318604, 0.03728291392326355, 0.3219669461250305 ]
eventually[50,70] (y >= 0.25)
0
1
9.2
92
0
92
0
[ -3.4332964420318604, 0.03728291392326355, 0.3219669461250305 ]
[ -3.428273916244507, 0.03310513496398926, 0.31885239481925964 ]
eventually[50,70] (y >= 0.25)
0
1
9.3
93
0
93
0
[ -3.428273916244507, 0.03310513496398926, 0.31885239481925964 ]
[ -3.422109603881836, 0.030053788796067238, 0.314939022064209 ]
eventually[50,70] (y >= 0.25)
0
1
9.4
94
0
94
0
[ -3.422109603881836, 0.030053788796067238, 0.314939022064209 ]
[ -3.4156506061553955, 0.02593230828642845, 0.3138303756713867 ]
eventually[50,70] (y >= 0.25)
0
1
9.5
95
0
95
0
[ -3.4156506061553955, 0.02593230828642845, 0.3138303756713867 ]
[ -3.4115800857543945, 0.021939245983958244, 0.3126840591430664 ]
eventually[50,70] (y >= 0.25)
0
1
9.6
96
0
96
0
[ -3.4115800857543945, 0.021939245983958244, 0.3126840591430664 ]
[ -3.3970141410827637, 0.01879430189728737, 0.3123214840888977 ]
eventually[50,70] (y >= 0.25)
0
1
9.7
97
0
97
0
[ -3.3970141410827637, 0.01879430189728737, 0.3123214840888977 ]
[ -3.3913612365722656, 0.016265258193016052, 0.31032034754753113 ]
eventually[50,70] (y >= 0.25)
0
1
9.8
98
0
98
0
[ -3.3913612365722656, 0.016265258193016052, 0.31032034754753113 ]
[ -3.3913612365722656, 0.016265258193016052, 0.31032034754753113 ]
eventually[50,70] (y >= 0.25)
0
1
9.9
99
0
99
0
End of preview. Expand in Data Studio

This dataset was created using LeRobot.

Dataset Structure

meta/info.json:

{
    "codebase_version": "v2.1",
    "robot_type": "uav",
    "total_episodes": 98,
    "total_frames": 9800,
    "total_tasks": 2,
    "total_videos": 0,
    "total_chunks": 1,
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    "splits": {
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    "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
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    "features": {
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        "task_index": {
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        }
    }
}

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