Dataset Viewer
Auto-converted to Parquet Duplicate
Search is not available for this dataset
observation.images.image
imagewidth (px)
256
256
observation.state
list
action
list
timestamp
float32
0
18.1
frame_index
int64
0
181
episode_index
int64
0
295
index
int64
0
36.4k
task_index
int64
0
9
vla_actions
array 2D
vlm_hidden
list
observation.images.image2
imagewidth (px)
256
256
[ -0.20487476885318756, -0.010081525892019272, 1.174657940864563, 3.1396350860595703, 0.0001441165222786367, -0.08801795542240143, 0.03878617286682129, -0.03878973424434662 ]
[ 0.13124999403953552, -0.0401785708963871, 0, 0, -0.04928571358323097, 0, -1 ]
0
0
0
0
0
[ [ 0.13187608122825623, -0.0013878792524337769, -0.03271935135126114, 0.001449751085601747, -0.07727653533220291, -0.0006367787718772888, -0.9917325973510742 ], [ 0.24509042501449585, -0.005017764866352081, -0.02773258090019226, 0.0004748307983390987, -0.0977602750...
[ 0.382825642824173, 1.0712608098983765, 1.7937633991241455, -0.1935555338859558, -0.551245391368866, -0.49744364619255066, 0.019551949575543404, -0.46839210391044617, -0.31019991636276245, 1.039935827255249, -0.11724618822336197, 0.6896075010299683, -0.02953420765697956, 0.8258605599403381,...
[ -0.2037886083126068, -0.010280994698405266, 1.1749176979064941, 3.1397652626037598, -0.00022223000996746123, -0.08219508826732635, 0.038874343037605286, -0.038888610899448395 ]
[ 0.32946428656578064, -0.02142857201397419, 0, 0, -0.08785714209079742, 0, -1 ]
0.1
1
0
1
0
[ [ 0.222994863986969, -0.02512357383966446, 0.00051078200340271, 0.0005104020237922668, -0.08863026648759842, -0.001914602005854249, -1.0072427988052368 ], [ 0.33342206478118896, -0.013828687369823456, -0.009391047060489655, -0.00044439808698371053, -0.110421329736...
[ 0.3501856327056885, 1.0427660942077637, 1.3193132877349854, -0.01898813433945179, -0.3151383101940155, -0.3899242877960205, -0.1020168736577034, -0.49803540110588074, -0.4959942400455475, 1.0438331365585327, -0.11804907768964767, 0.5601087212562561, 0.013265887275338173, 0.7672950029373169...
[ -0.20071499049663544, -0.010583455674350262, 1.1752418279647827, 3.140000104904175, -0.0005619296571239829, -0.0666363313794136, 0.038930561393499374, -0.038941655308008194 ]
[ 0.4553571343421936, -0.010714286006987095, 0, -0.003214285708963871, -0.09857142716646194, 0, -1 ]
0.2
2
0
2
0
[ [ 0.4868486225605011, -0.03217045217752457, -0.04182903468608856, -0.0012009188067167997, -0.11384637653827667, -0.002240436850115657, -1.0056219100952148 ], [ 0.6341201663017273, -0.024463586509227753, -0.03373594954609871, -0.0005907173617742956, -0.121654450893...
[ 0.36546143889427185, 0.9576621055603027, 1.119028091430664, 0.04540203511714935, -0.29604530334472656, -0.37408414483070374, -0.3832189440727234, -0.6349546909332275, -0.5020260810852051, 1.174385905265808, -0.16323785483837128, 0.35609862208366394, -0.028800765052437782, 0.762674868106842...
[-0.1960320919752121,-0.010790367610752583,1.1752214431762695,3.1400716304779053,-0.0006848538760095(...TRUNCATED)
[ 0.6107142567634583, -0.008035714738070965, 0, -0.003214285708963871, -0.1071428582072258, 0, -1 ]
0.3
3
0
3
0
[[0.5142078995704651,-0.008705556392669678,-0.00946681946516037,-0.000256960978731513,-0.12381960451(...TRUNCATED)
[0.39706316590309143,0.8330937027931213,0.4270147383213043,0.16344811022281647,-0.47241663932800293,(...TRUNCATED)
[-0.1898987591266632,-0.010930868797004223,1.1748316287994385,3.139846086502075,-0.00067962112370878(...TRUNCATED)
[ 0.7607142925262451, 0, 0, -0.002142857061699033, -0.11464285850524902, 0.003214285708963871, -1 ]
0.4
4
0
4
0
[[0.7459551692008972,-0.01814214140176773,-0.006643146276473999,-0.0004725267062895,-0.0959081128239(...TRUNCATED)
[0.486433744430542,0.8529438376426697,0.26801371574401855,-0.10252711921930313,-0.6701608300209045,-(...TRUNCATED)
[-0.18217876553535461,-0.010988933965563774,1.1740959882736206,3.139381170272827,-0.0003795367665588(...TRUNCATED)
[ 0.8651785850524902, 0, 0, 0, -0.10499999672174454, 0.007499999832361937, -1 ]
0.5
5
0
5
0
[[0.863021731376648,-0.04655097424983978,-0.03703388571739197,-0.00009464437607675791,-0.11308658868(...TRUNCATED)
[0.49827420711517334,0.9471763372421265,0.24335314333438873,-0.14393065869808197,-0.762811005115509,(...TRUNCATED)
[-0.17316821217536926,-0.010942794382572174,1.172966718673706,3.1387622356414795,0.00044579771929420(...TRUNCATED)
[ 0.9348214268684387, 0, -0.02678571455180645, 0, -0.08785714209079742, 0.011785713955760002, -1 ]
0.6
6
0
6
0
[[0.9086835980415344,-0.016395077109336853,-0.07471434026956558,-0.006496890913695097,-0.11380776017(...TRUNCATED)
[0.45317327976226807,1.491196632385254,-0.3629401624202728,-0.1769717037677765,-0.9685746431350708,-(...TRUNCATED)
[-0.16324594616889954,-0.010858419351279736,1.1713385581970215,3.1379847526550293,0.0020117470994591(...TRUNCATED)
[0.9375,0.0,-0.08571428805589676,-0.002142857061699033,-0.06857142597436905,0.012857142835855484,-1.(...TRUNCATED)
0.7
7
0
7
0
[[0.905885636806488,0.011875994503498077,-0.15701645612716675,-0.004370902199298143,-0.0864133983850(...TRUNCATED)
[0.4108869433403015,1.883408784866333,-0.3159991204738617,-0.20377598702907562,-0.8886317610740662,-(...TRUNCATED)
[-0.1528482437133789,-0.010798285715281963,1.1690292358398438,3.136975049972534,0.004140351433306932(...TRUNCATED)
[ 0.9375, 0, -0.09375, -0.008571428246796131, -0.07392857223749161, 0.009642857126891613, -1 ]
0.8
8
0
8
0
[[0.9561052322387695,0.004952482879161835,-0.14480160176753998,-0.008823815733194351,-0.081617347896(...TRUNCATED)
[0.30696192383766174,2.2050576210021973,-0.7435759902000427,-0.13522429764270782,-0.9571549892425537(...TRUNCATED)
[-0.14203132688999176,-0.01083107478916645,1.1664727926254272,3.1354777812957764,0.00620671408250927(...TRUNCATED)
[0.9375,0.0,-0.12857143580913544,-0.017142856493592262,-0.09535714238882065,0.0053571430034935474,-1(...TRUNCATED)
0.9
9
0
9
0
[[0.9204943776130676,0.006978914141654968,-0.20924918353557587,-0.002185501391068101,-0.079210318624(...TRUNCATED)
[-0.184938445687294,-1.0990550518035889,2.015892505645752,0.3888292610645294,-0.5937625765800476,-0.(...TRUNCATED)
End of preview. Expand in Data Studio

This dataset was created using LeRobot.

Dataset Structure

meta/info.json:

{
    "codebase_version": "v3.0",
    "robot_type": "panda",
    "total_episodes": 432,
    "total_frames": 52970,
    "total_tasks": 10,
    "chunks_size": 1000,
    "data_files_size_in_mb": 100,
    "video_files_size_in_mb": 200,
    "fps": 10,
    "splits": {
        "train": "0:432"
    },
    "data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
    "video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4",
    "features": {
        "observation.images.image": {
            "dtype": "image",
            "shape": [
                256,
                256,
                3
            ],
            "names": [
                "height",
                "width",
                "channel"
            ],
            "fps": 10
        },
        "observation.state": {
            "dtype": "float32",
            "shape": [
                8
            ],
            "names": [
                "state"
            ],
            "fps": 10
        },
        "action": {
            "dtype": "float32",
            "shape": [
                7
            ],
            "names": [
                "action"
            ],
            "fps": 10
        },
        "timestamp": {
            "dtype": "float32",
            "shape": [
                1
            ],
            "names": null
        },
        "frame_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "episode_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "task_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "vla_actions": {
            "dtype": "float32",
            "shape": [
                50,
                7
            ],
            "names": [
                "vla_actions"
            ]
        },
        "vlm_hidden": {
            "dtype": "float32",
            "shape": [
                2048
            ],
            "names": [
                "vlm_hidden"
            ]
        },
        "observation.images.image2": {
            "dtype": "image",
            "shape": [
                256,
                256,
                3
            ],
            "names": [
                "height",
                "width",
                "channel"
            ]
        }
    }
}

Citation

BibTeX:

[More Information Needed]
Downloads last month
9

Models trained or fine-tuned on k1000dai/libero-spatial-v4-pi05