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actor
dict
atom
dict
embodiment
dict
observation
dict
step
int64
tactile
dict
{"prism":[0.6807932257652283,-0.1107272282242775,0.2805875241756439,-0.002575279911980033,0.99953031(...TRUNCATED)
{ "id": 0, "tag": [ 109, 111, 118, 101 ] }
{"ee":[0.6819280982017517,-0.11450997740030289,0.2814546823501587,-0.004167799837887287,0.9997499585(...TRUNCATED)
{ "head": { "rgb": [ 255, 216, 255, 224 ] } }
0
{"left_gsmini":{"depth":[[0.010589599609375,0.010589599609375,0.010685762390494347,0.011647383682429(...TRUNCATED)
{"prism":[0.6808901429176331,-0.1107635498046875,0.2802615463733673,-0.0026482699904590845,0.9995251(...TRUNCATED)
{ "id": 0, "tag": [ 109, 111, 118, 101 ] }
{"ee":[0.6821363568305969,-0.11464513838291168,0.2816205322742462,-0.004316657781600952,0.9997353553(...TRUNCATED)
{ "head": { "rgb": [ 255, 216, 255, 224 ] } }
1
{"left_gsmini":{"depth":[[0.010589599609375,0.010589599609375,0.010685762390494347,0.011647383682429(...TRUNCATED)
{"prism":[0.6810317635536194,-0.1108345091342926,0.28000378608703613,-0.00265262252651155,0.99952381(...TRUNCATED)
{ "id": 0, "tag": [ 109, 111, 118, 101 ] }
{"ee":[0.6823359727859497,-0.11482153832912445,0.2817057967185974,-0.004474884830415249,0.9997251629(...TRUNCATED)
{ "head": { "rgb": [ 255, 216, 255, 224 ] } }
2
{"left_gsmini":{"depth":[[0.010589599609375,0.010589599609375,0.010685762390494347,0.011647383682429(...TRUNCATED)
{"prism":[0.6811800599098206,-0.11091756075620651,0.27984514832496643,-0.0026596481911838055,0.99952(...TRUNCATED)
{ "id": 0, "tag": [ 109, 111, 118, 101 ] }
{"ee":[0.6825037598609924,-0.11503864824771881,0.2817118465900421,-0.004553345497697592,0.9997189044(...TRUNCATED)
{ "head": { "rgb": [ 255, 216, 255, 224 ] } }
3
{"left_gsmini":{"depth":[[0.010589599609375,0.010589599609375,0.010685762390494347,0.011647383682429(...TRUNCATED)
{"prism":[0.6813127994537354,-0.11093711107969284,0.27974140644073486,-0.0026745558716356754,0.99952(...TRUNCATED)
{ "id": 0, "tag": [ 109, 111, 118, 101 ] }
{"ee":[0.6826593279838562,-0.1152576357126236,0.2816809117794037,-0.004607276991009712,0.99971485137(...TRUNCATED)
{ "head": { "rgb": [ 255, 216, 255, 224 ] } }
4
{"left_gsmini":{"depth":[[0.00782012939453125,0.00782012939453125,0.007935842499136925,0.00909296702(...TRUNCATED)
{"prism":[0.6813983917236328,-0.11088237911462784,0.27968427538871765,-0.0026948137674480677,0.99952(...TRUNCATED)
{ "id": 0, "tag": [ 109, 111, 118, 101 ] }
{"ee":[0.6827647686004639,-0.1154065653681755,0.28161099553108215,-0.004668084438890219,0.9997109770(...TRUNCATED)
{ "head": { "rgb": [ 255, 216, 255, 224 ] } }
5
{"left_gsmini":{"depth":[[0.00782012939453125,0.00782012939453125,0.007935842499136925,0.00909296702(...TRUNCATED)
{"prism":[0.6814307570457458,-0.11084802448749542,0.2796761393547058,-0.0027120541781187057,0.999521(...TRUNCATED)
{ "id": 0, "tag": [ 109, 111, 118, 101 ] }
{"ee":[0.6828354001045227,-0.11546950042247772,0.28152456879615784,-0.004707746673375368,0.999707579(...TRUNCATED)
{ "head": { "rgb": [ 255, 216, 255, 224 ] } }
6
{"left_gsmini":{"depth":[[0.004177093505859375,0.004177093505859375,0.004301786422729492,0.005548715(...TRUNCATED)
{"prism":[0.6814436912536621,-0.11082824319601059,0.2797015309333801,-0.0027227511163800955,0.999521(...TRUNCATED)
{ "id": 0, "tag": [ 109, 111, 118, 101 ] }
{"ee":[0.6828848123550415,-0.1154732033610344,0.28143593668937683,-0.004726989194750786,0.9997051954(...TRUNCATED)
{ "head": { "rgb": [ 255, 216, 255, 224 ] } }
7
{"left_gsmini":{"depth":[[0.0028247833251953125,0.0028247833251953125,0.002959052799269557,0.0043017(...TRUNCATED)
{"prism":[0.6814602017402649,-0.11083412915468216,0.27975159883499146,-0.002720353426411748,0.999522(...TRUNCATED)
{ "id": 0, "tag": [ 109, 111, 118, 101 ] }
{"ee":[0.682905375957489,-0.11545517295598984,0.28136441111564636,-0.004744668956845999,0.9997038841(...TRUNCATED)
{ "head": { "rgb": [ 255, 216, 255, 224 ] } }
8
{"left_gsmini":{"depth":[[0.0028247833251953125,0.0028247833251953125,0.002959052799269557,0.0043017(...TRUNCATED)
{"prism":[0.681503176689148,-0.11103526502847672,0.27993786334991455,-0.0028001077007502317,0.999532(...TRUNCATED)
{ "id": 0, "tag": [ 109, 111, 118, 101 ] }
{"ee":[0.6829172372817993,-0.11547323316335678,0.281358003616333,-0.004758527968078852,0.99970453977(...TRUNCATED)
{ "head": { "rgb": [ 255, 216, 255, 224 ] } }
9
{"left_gsmini":{"depth":[[0.006763458251953125,0.006763458251953125,0.006871303077787161,0.007949749(...TRUNCATED)
End of preview.

VT-MUSE Real-World Manipulation Dataset

This dataset contains 200 real-world robot manipulation demonstrations used by VT-MUSE. It includes four tasks with 50 demonstrations per task.

Task Demonstrations
Insert Tube 50
Press Toaster 50
Pull Out Drawer 50
Wipe Board 50
Total 200

Data layout

data/
  insert_tube/*.hdf5
  press_toaster/*.hdf5
  pull_out_drawer/*.hdf5
  wipe_board/*.hdf5
manifest.csv

Each HDF5 file stores one demonstration and contains synchronized head-camera RGB observations, bilateral GS-mini tactile RGB and depth observations, robot end-effector and joint states, and action-related fields.

HDF5 schema

Key Description
observation/head/rgb Head-camera RGB frames
tactile/left_gsmini/rgb Left tactile RGB frames
tactile/right_gsmini/rgb Right tactile RGB frames
tactile/left_gsmini/depth Left tactile depth maps
tactile/right_gsmini/depth Right tactile depth maps
embodiment/ee End-effector state
embodiment/joint Eight-dimensional robot joint/gripper state
actor/prism, actor/slot Action-related state fields
step, atom/id, atom/tag Sequence metadata

manifest.csv records the task, file name, number of timesteps, file size, and SHA-256 checksum for every demonstration.

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