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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
robot: string
cameras: struct<camera1: string, camera2: string, camera3: string>
  child 0, camera1: string
  child 1, camera2: string
  child 2, camera3: string
camera_resolution: list<item: int64>
  child 0, item: int64
control_hz: int64
tcp_orientation_axis_angle: list<item: double>
  child 0, item: double
workspace_trapezoid: struct<y_range: list<item: double>, x_halfwidth_at_y_min: double, x_halfwidth_at_y_max: double>
  child 0, y_range: list<item: double>
      child 0, item: double
  child 1, x_halfwidth_at_y_min: double
  child 2, x_halfwidth_at_y_max: double
episodes: int64
task: string
instruction: string
description: string
objects: list<item: string>
  child 0, item: string
gripper_modes: string
lighting_split: struct<light: string, dark: string, note: string>
  child 0, light: string
  child 1, dark: string
  child 2, note: string
start: struct<cup: list<item: double>, block: list<item: double>>
  child 0, cup: list<item: double>
      child 0, item: double
  child 1, block: list<item: double>
      child 0, item: double
end: struct<cup: list<item: double>, block: list<item: double>>
  child 0, cup: list<item: double>
      child 0, item: double
  child 1, block: list<item: double>
      child 0, item: double
init_pose: list<item: double>
  child 0, item: double
lighting: string
episode: int64
to
{'task': Value('string'), 'episode': Value('int64'), 'start': {'cup': List(Value('float64')), 'block': List(Value('float64'))}, 'end': {'cup': List(Value('float64')), 'block': List(Value('float64'))}, 'init_pose': List(Value('float64')), 'lighting': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              robot: string
              cameras: struct<camera1: string, camera2: string, camera3: string>
                child 0, camera1: string
                child 1, camera2: string
                child 2, camera3: string
              camera_resolution: list<item: int64>
                child 0, item: int64
              control_hz: int64
              tcp_orientation_axis_angle: list<item: double>
                child 0, item: double
              workspace_trapezoid: struct<y_range: list<item: double>, x_halfwidth_at_y_min: double, x_halfwidth_at_y_max: double>
                child 0, y_range: list<item: double>
                    child 0, item: double
                child 1, x_halfwidth_at_y_min: double
                child 2, x_halfwidth_at_y_max: double
              episodes: int64
              task: string
              instruction: string
              description: string
              objects: list<item: string>
                child 0, item: string
              gripper_modes: string
              lighting_split: struct<light: string, dark: string, note: string>
                child 0, light: string
                child 1, dark: string
                child 2, note: string
              start: struct<cup: list<item: double>, block: list<item: double>>
                child 0, cup: list<item: double>
                    child 0, item: double
                child 1, block: list<item: double>
                    child 0, item: double
              end: struct<cup: list<item: double>, block: list<item: double>>
                child 0, cup: list<item: double>
                    child 0, item: double
                child 1, block: list<item: double>
                    child 0, item: double
              init_pose: list<item: double>
                child 0, item: double
              lighting: string
              episode: int64
              to
              {'task': Value('string'), 'episode': Value('int64'), 'start': {'cup': List(Value('float64')), 'block': List(Value('float64'))}, 'end': {'cup': List(Value('float64')), 'block': List(Value('float64'))}, 'init_pose': List(Value('float64')), 'lighting': Value('string')}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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task
string
episode
int64
start
dict
end
dict
init_pose
list
lighting
string
hide_block_with_cup
1
{ "cup": [ 0.0881, 0.7898 ], "block": [ 0.0752, 0.5596 ] }
{ "cup": [ 0.0752, 0.5596 ], "block": [ 0.0752, 0.5596 ] }
[ -0.10005546641400156, 0.6257268433309449, 0.3228372275299681 ]
light
hide_block_with_cup
10
{ "cup": [ -0.011666706122806222, 0.5445893333367872 ], "block": [ 0.08812489256104383, 0.7738376416155526 ] }
{ "cup": [ 0.08812489256104383, 0.7738376416155526 ], "block": [ 0.08812489256104383, 0.7738376416155526 ] }
[ 0.10645819899068895, 0.5158671206475777, 0.37873265582038096 ]
light
hide_block_with_cup
100
{ "cup": [ 0.09773675265388901, 0.5189277189877745 ], "block": [ 0.06261242538506501, 0.7352634437512214 ] }
{ "cup": [ 0.06261242538506501, 0.7352634437512214 ], "block": [ 0.06261242538506501, 0.7352634437512214 ] }
[ 0.049068779756114844, 0.606795958175153, 0.36344797258806516 ]
dark
hide_block_with_cup
101
{ "cup": [ -0.0719368430748335, 0.546892882221252 ], "block": [ 0.15009556153379305, 0.7745893671217804 ] }
{ "cup": [ 0.15009556153379305, 0.7745893671217804 ], "block": [ 0.15009556153379305, 0.7745893671217804 ] }
[ -0.10540519058516062, 0.46539493044359226, 0.3667280310562701 ]
dark
hide_block_with_cup
102
{ "cup": [ -0.03799570599383678, 0.6502113395309668 ], "block": [ 0.12836954448793952, 0.7833266247861574 ] }
{ "cup": [ 0.12836954448793952, 0.7833266247861574 ], "block": [ 0.12836954448793952, 0.7833266247861574 ] }
[ -0.06050431142311048, 0.6001605749925841, 0.29969477512572573 ]
dark
hide_block_with_cup
103
{ "cup": [ -0.15983380459135585, 0.7646725949640587 ], "block": [ -0.007168685089778554, 0.5959776127568007 ] }
{ "cup": [ -0.007168685089778554, 0.5959776127568007 ], "block": [ -0.007168685089778554, 0.5959776127568007 ] }
[ -0.06420746303422832, 0.48512741109202623, 0.39388566470490993 ]
dark
hide_block_with_cup
104
{ "cup": [ -0.032112275619899655, 0.7985337145224014 ], "block": [ -0.10409292945613537, 0.5902650995851402 ] }
{ "cup": [ -0.10409292945613537, 0.5902650995851402 ], "block": [ -0.10409292945613537, 0.5902650995851402 ] }
[ -0.09436184889362884, 0.5668478308880497, 0.38546748382229157 ]
dark
hide_block_with_cup
105
{ "cup": [ 0.10255826514678174, 0.6263971943933038 ], "block": [ -0.07048854935889914, 0.7333051516141961 ] }
{ "cup": [ -0.07048854935889914, 0.7333051516141961 ], "block": [ -0.07048854935889914, 0.7333051516141961 ] }
[ -0.13331705312251715, 0.4932576888484559, 0.25834056559188523 ]
dark
hide_block_with_cup
106
{ "cup": [ -0.09745829748413594, 0.5072881161747855 ], "block": [ 0.12067432016746132, 0.7731515446581315 ] }
{ "cup": [ 0.12067432016746132, 0.7731515446581315 ], "block": [ 0.12067432016746132, 0.7731515446581315 ] }
[ -0.0018803206962280383, 0.5301145255279753, 0.36497757516376056 ]
dark
hide_block_with_cup
107
{ "cup": [ -0.12084102700044257, 0.796163566986611 ], "block": [ -0.005734719850083572, 0.5435620574317725 ] }
{ "cup": [ -0.005734719850083572, 0.5435620574317725 ], "block": [ -0.005734719850083572, 0.5435620574317725 ] }
[ -0.083231972440243, 0.6220613116392022, 0.29294661199242217 ]
dark
hide_block_with_cup
108
{ "cup": [ -0.16637924006414495, 0.7778311845067141 ], "block": [ 0.07252680347536875, 0.7436297198067893 ] }
{ "cup": [ 0.07252680347536875, 0.7436297198067893 ], "block": [ 0.07252680347536875, 0.7436297198067893 ] }
[ -0.13812675627277732, 0.6558837920840451, 0.3413510625357471 ]
dark
hide_block_with_cup
109
{ "cup": [ 0.03450109061219235, 0.5011471521379169 ], "block": [ 0.10337402897851361, 0.7916056130218125 ] }
{ "cup": [ 0.10337402897851361, 0.7916056130218125 ], "block": [ 0.10337402897851361, 0.7916056130218125 ] }
[ 0.030287699547978025, 0.6417328950628974, 0.27283621683488124 ]
dark
hide_block_with_cup
11
{ "cup": [ 0.07668760747003256, 0.5738579775196944 ], "block": [ 0.0878748573549285, 0.7885487714517714 ] }
{ "cup": [ 0.0878748573549285, 0.7885487714517714 ], "block": [ 0.0878748573549285, 0.7885487714517714 ] }
[ -0.00022833339362410277, 0.6751319055872186, 0.3676374122767515 ]
light
hide_block_with_cup
110
{ "cup": [ -0.10387843963381166, 0.675153510103251 ], "block": [ 0.1367162353438837, 0.678253928471502 ] }
{ "cup": [ 0.1367162353438837, 0.678253928471502 ], "block": [ 0.1367162353438837, 0.678253928471502 ] }
[ -0.13744102557988436, 0.48938118968768185, 0.3871690134320165 ]
dark
hide_block_with_cup
111
{ "cup": [ -0.007465803752225178, 0.5088173965315541 ], "block": [ 0.14948939573866207, 0.7956007121798795 ] }
{ "cup": [ 0.14948939573866207, 0.7956007121798795 ], "block": [ 0.14948939573866207, 0.7956007121798795 ] }
[ -0.0637285617874303, 0.5857653754150685, 0.27524131817889813 ]
dark
hide_block_with_cup
112
{ "cup": [ 0.07410629597415469, 0.5462774465318744 ], "block": [ -0.013923349851751948, 0.7271324484948136 ] }
{ "cup": [ -0.013923349851751948, 0.7271324484948136 ], "block": [ -0.013923349851751948, 0.7271324484948136 ] }
[ 0.03546511350624995, 0.5907986844814512, 0.3846030924276507 ]
dark
hide_block_with_cup
113
{ "cup": [ -0.04242818721013718, 0.5154639729613668 ], "block": [ -0.06397781835702025, 0.7903127929143681 ] }
{ "cup": [ -0.06397781835702025, 0.7903127929143681 ], "block": [ -0.06397781835702025, 0.7903127929143681 ] }
[ 0.055925294269160264, 0.6515303443662546, 0.2668256746413355 ]
dark
hide_block_with_cup
114
{ "cup": [ 0.12775673019336162, 0.606425884304273 ], "block": [ -0.09333376601372928, 0.55166555504283 ] }
{ "cup": [ -0.09333376601372928, 0.55166555504283 ], "block": [ -0.09333376601372928, 0.55166555504283 ] }
[ -0.06907683498134205, 0.6911905269352848, 0.2915835688697836 ]
dark
hide_block_with_cup
115
{ "cup": [ 0.1308490296606984, 0.7632896099064963 ], "block": [ -0.1251416511042145, 0.7531605792824859 ] }
{ "cup": [ -0.1251416511042145, 0.7531605792824859 ], "block": [ -0.1251416511042145, 0.7531605792824859 ] }
[ -0.023265163168723374, 0.6712482631164398, 0.3057272227329865 ]
dark
hide_block_with_cup
116
{ "cup": [ 0.08887975115685218, 0.6197695269532479 ], "block": [ -0.14670879593375633, 0.7106804472565962 ] }
{ "cup": [ -0.14670879593375633, 0.7106804472565962 ], "block": [ -0.14670879593375633, 0.7106804472565962 ] }
[ 0.128864607934029, 0.6313918758271222, 0.37457455071537044 ]
dark
hide_block_with_cup
117
{ "cup": [ 0.06630728965206883, 0.534813035205447 ], "block": [ 0.1409690480385448, 0.7689837661422303 ] }
{ "cup": [ 0.1409690480385448, 0.7689837661422303 ], "block": [ 0.1409690480385448, 0.7689837661422303 ] }
[ -0.02517179962331599, 0.5050469869066363, 0.3247636227569375 ]
dark
hide_block_with_cup
118
{ "cup": [ 0.09472981770434524, 0.5450211087162705 ], "block": [ -0.12605944942551672, 0.6887283168655693 ] }
{ "cup": [ -0.12605944942551672, 0.6887283168655693 ], "block": [ -0.12605944942551672, 0.6887283168655693 ] }
[ 0.13743591929656337, 0.5874380877953215, 0.32231443917334424 ]
dark
hide_block_with_cup
119
{ "cup": [ 0.10149084231584404, 0.5684646180631112 ], "block": [ -0.020851585645495024, 0.7712358025076891 ] }
{ "cup": [ -0.020851585645495024, 0.7712358025076891 ], "block": [ -0.020851585645495024, 0.7712358025076891 ] }
[ -0.13143084686163178, 0.6929293623397365, 0.3617899475292778 ]
dark
hide_block_with_cup
12
{ "cup": [ -0.05032784654094381, 0.5121240466644962 ], "block": [ -0.021472123048458497, 0.7578603634942037 ] }
{ "cup": [ -0.021472123048458497, 0.7578603634942037 ], "block": [ -0.021472123048458497, 0.7578603634942037 ] }
[ 0.11501417400318772, 0.6821571518090892, 0.3524385761721443 ]
light
hide_block_with_cup
120
{ "cup": [ -0.05153210416827055, 0.5155471838443832 ], "block": [ 0.009305904659951736, 0.7575180973999223 ] }
{ "cup": [ 0.009305904659951736, 0.7575180973999223 ], "block": [ 0.009305904659951736, 0.7575180973999223 ] }
[ -0.01350704683492479, 0.5477380858500278, 0.3630938872045604 ]
dark
hide_block_with_cup
13
{ "cup": [ -0.08699437150404844, 0.5017008711310553 ], "block": [ 0.09539928959829558, 0.760661143415629 ] }
{ "cup": [ 0.09539928959829558, 0.760661143415629 ], "block": [ 0.09539928959829558, 0.760661143415629 ] }
[ -0.007958769573721686, 0.5651956485153984, 0.3081721689023269 ]
light
hide_block_with_cup
14
{ "cup": [ 0.013437652078660753, 0.574342926818375 ], "block": [ 0.021271548152487163, 0.793391604174821 ] }
{ "cup": [ 0.021271548152487163, 0.793391604174821 ], "block": [ 0.021271548152487163, 0.793391604174821 ] }
[ -0.08266665993043429, 0.5434626853436354, 0.33684039330623994 ]
light
hide_block_with_cup
15
{ "cup": [ -0.06506440913358014, 0.5772194970408152 ], "block": [ 0.16396843731940733, 0.798277199064566 ] }
{ "cup": [ 0.16396843731940733, 0.798277199064566 ], "block": [ 0.16396843731940733, 0.798277199064566 ] }
[ -0.10361693981995507, 0.6482774065044687, 0.3371511800684033 ]
light
hide_block_with_cup
16
{ "cup": [ -0.08052791191204295, 0.7501439934414168 ], "block": [ -0.021710135586048576, 0.5478488064513944 ] }
{ "cup": [ -0.021710135586048576, 0.5478488064513944 ], "block": [ -0.021710135586048576, 0.5478488064513944 ] }
[ 0.04088040859726555, 0.49938000630135665, 0.3322693306942983 ]
light
hide_block_with_cup
17
{ "cup": [ -0.06159029057214664, 0.7978985152203935 ], "block": [ 0.11680997801459506, 0.6439656047030521 ] }
{ "cup": [ 0.11680997801459506, 0.6439656047030521 ], "block": [ 0.11680997801459506, 0.6439656047030521 ] }
[ 0.141112200423491, 0.6564489162937578, 0.34739081261091875 ]
light
hide_block_with_cup
18
{ "cup": [ -0.08055657458457142, 0.564395735942449 ], "block": [ -0.006770043036336493, 0.7997790910920357 ] }
{ "cup": [ -0.006770043036336493, 0.7997790910920357 ], "block": [ -0.006770043036336493, 0.7997790910920357 ] }
[ -0.06209470972530011, 0.5163717092914613, 0.2768363907848381 ]
light
hide_block_with_cup
19
{ "cup": [ -0.040400130548167185, 0.6003684987714636 ], "block": [ -0.15011736754591873, 0.7811866207414773 ] }
{ "cup": [ -0.15011736754591873, 0.7811866207414773 ], "block": [ -0.15011736754591873, 0.7811866207414773 ] }
[ -0.04431569478460949, 0.5572106603162919, 0.30487680169597653 ]
light
hide_block_with_cup
2
{ "cup": [ -0.09662747384268686, 0.757542096754464 ], "block": [ 0.11211957842797504, 0.7578326946442355 ] }
{ "cup": [ 0.11211957842797504, 0.7578326946442355 ], "block": [ 0.11211957842797504, 0.7578326946442355 ] }
[ 0.0019268246215666807, 0.5194226823490575, 0.297560751496884 ]
light
hide_block_with_cup
20
{ "cup": [ 0.0659216241222722, 0.695083137589539 ], "block": [ -0.005718435260785873, 0.507389739728863 ] }
{ "cup": [ -0.005718435260785873, 0.507389739728863 ], "block": [ -0.005718435260785873, 0.507389739728863 ] }
[ 0.023762118929252785, 0.6582785947485218, 0.27268790698194456 ]
light
hide_block_with_cup
21
{ "cup": [ -0.11730952522208411, 0.7962702488185922 ], "block": [ -0.011718178551608907, 0.5283818446162708 ] }
{ "cup": [ -0.011718178551608907, 0.5283818446162708 ], "block": [ -0.011718178551608907, 0.5283818446162708 ] }
[ -0.07019040474378019, 0.6806582216573726, 0.25081099111025645 ]
light
hide_block_with_cup
22
{ "cup": [ -0.10529932814840405, 0.7614196445280559 ], "block": [ 0.13530255236434297, 0.6394265441636757 ] }
{ "cup": [ 0.13530255236434297, 0.6394265441636757 ], "block": [ 0.13530255236434297, 0.6394265441636757 ] }
[ -0.14350385091239423, 0.5520232053849898, 0.3583385148114286 ]
light
hide_block_with_cup
23
{ "cup": [ -0.08224071444085193, 0.7488152943649136 ], "block": [ 0.06267264268118204, 0.5116101332535433 ] }
{ "cup": [ 0.06267264268118204, 0.5116101332535433 ], "block": [ 0.06267264268118204, 0.5116101332535433 ] }
[ 0.02008872986112084, 0.49614134341563415, 0.3725988322188681 ]
light
hide_block_with_cup
24
{ "cup": [ 0.11883747608367204, 0.7788256842435912 ], "block": [ -0.06582654594362317, 0.5596966444476233 ] }
{ "cup": [ -0.06582654594362317, 0.5596966444476233 ], "block": [ -0.06582654594362317, 0.5596966444476233 ] }
[ 0.036472864314222114, 0.504589069324671, 0.29667818399129 ]
light
hide_block_with_cup
25
{ "cup": [ 0.12688578948250406, 0.642517602947937 ], "block": [ -0.07638306577883215, 0.7621080316459181 ] }
{ "cup": [ -0.07638306577883215, 0.7621080316459181 ], "block": [ -0.07638306577883215, 0.7621080316459181 ] }
[ 0.12082724370193557, 0.5207107840980272, 0.36385017281709614 ]
light
hide_block_with_cup
26
{ "cup": [ 0.12261151243229737, 0.6412213134560617 ], "block": [ -0.11722707864834861, 0.6440415083416362 ] }
{ "cup": [ -0.11722707864834861, 0.6440415083416362 ], "block": [ -0.11722707864834861, 0.6440415083416362 ] }
[ 0.003989957584799614, 0.625272907186039, 0.3740350444927997 ]
light
hide_block_with_cup
27
{ "cup": [ 0.11852324416276153, 0.6215597086593722 ], "block": [ -0.09431421836646547, 0.6467774082562426 ] }
{ "cup": [ -0.09431421836646547, 0.6467774082562426 ], "block": [ -0.09431421836646547, 0.6467774082562426 ] }
[ -0.14609722754066828, 0.5725124923880129, 0.3601971925354925 ]
light
hide_block_with_cup
28
{ "cup": [ 0.11041219260462898, 0.786416905154526 ], "block": [ -0.03818281451656355, 0.5341933850529547 ] }
{ "cup": [ -0.03818281451656355, 0.5341933850529547 ], "block": [ -0.03818281451656355, 0.5341933850529547 ] }
[ -0.036104863657948766, 0.5381963238286829, 0.3530092235207072 ]
light
hide_block_with_cup
29
{ "cup": [ 0.14160443658398247, 0.7104849576081347 ], "block": [ -0.0822291419925634, 0.580558462618594 ] }
{ "cup": [ -0.0822291419925634, 0.580558462618594 ], "block": [ -0.0822291419925634, 0.580558462618594 ] }
[ 0.10630218172779146, 0.5298875809930009, 0.28984249454627886 ]
light
hide_block_with_cup
3
{ "cup": [ -0.08837951194551924, 0.6083460895196487 ], "block": [ 0.10776292210184849, 0.5601166559518267 ] }
{ "cup": [ 0.10776292210184849, 0.5601166559518267 ], "block": [ 0.10776292210184849, 0.5601166559518267 ] }
[ 0.06896689239359138, 0.6868084991674888, 0.39843708081871243 ]
light
hide_block_with_cup
30
{ "cup": [ 0.13099722413289017, 0.6556877111676337 ], "block": [ -0.07261790353869148, 0.5974194828432957 ] }
{ "cup": [ -0.07261790353869148, 0.5974194828432957 ], "block": [ -0.07261790353869148, 0.5974194828432957 ] }
[ 0.14407743626326894, 0.5500538552455576, 0.2875960532027087 ]
light
hide_block_with_cup
31
{ "cup": [ 0.028282819346169774, 0.7870051042835594 ], "block": [ -0.04670575323249602, 0.5161259357407166 ] }
{ "cup": [ -0.04670575323249602, 0.5161259357407166 ], "block": [ -0.04670575323249602, 0.5161259357407166 ] }
[ 0.14348913592430254, 0.5933069047769067, 0.33386730629930494 ]
light
hide_block_with_cup
32
{ "cup": [ -0.07127008493198733, 0.7714960080862427 ], "block": [ -0.09917801963625554, 0.5472171165136117 ] }
{ "cup": [ -0.09917801963625554, 0.5472171165136117 ], "block": [ -0.09917801963625554, 0.5472171165136117 ] }
[ 0.02988022191050488, 0.5433934461275385, 0.38797520669113605 ]
light
hide_block_with_cup
33
{ "cup": [ 0.04530655991379712, 0.7627113507415187 ], "block": [ 0.11636129812928565, 0.574835468999221 ] }
{ "cup": [ 0.11636129812928565, 0.574835468999221 ], "block": [ 0.11636129812928565, 0.574835468999221 ] }
[ -0.11064828475556501, 0.4989735400519638, 0.3470615638259197 ]
light
hide_block_with_cup
34
{ "cup": [ -0.10692886113816247, 0.5429948928499407 ], "block": [ 0.0814032738697831, 0.78764763779848 ] }
{ "cup": [ 0.0814032738697831, 0.78764763779848 ], "block": [ 0.0814032738697831, 0.78764763779848 ] }
[ -0.12954451892422653, 0.4840648015354619, 0.3138549323237115 ]
light
hide_block_with_cup
35
{ "cup": [ 0.06951021067854603, 0.5447720057692482 ], "block": [ 0.10228156685680359, 0.7803399159819058 ] }
{ "cup": [ 0.10228156685680359, 0.7803399159819058 ], "block": [ 0.10228156685680359, 0.7803399159819058 ] }
[ -0.10481939153790387, 0.48302706039986854, 0.2718951300701185 ]
light
hide_block_with_cup
36
{ "cup": [ -0.1060077143892851, 0.640563884830716 ], "block": [ 0.11641332549549988, 0.6871598602864452 ] }
{ "cup": [ 0.11641332549549988, 0.6871598602864452 ], "block": [ 0.11641332549549988, 0.6871598602864452 ] }
[ 0.013160849008812064, 0.5620439562158741, 0.3394925686170311 ]
light
hide_block_with_cup
37
{ "cup": [ -0.08376737024337624, 0.5187280516347177 ], "block": [ 0.08675245361445127, 0.700236423167679 ] }
{ "cup": [ 0.08675245361445127, 0.700236423167679 ], "block": [ 0.08675245361445127, 0.700236423167679 ] }
[ 0.07020264890684624, 0.6036899510001366, 0.26266441278239766 ]
light
hide_block_with_cup
38
{ "cup": [ -0.09670494334669458, 0.6079487248573456 ], "block": [ 0.10778157600261065, 0.5685887980386413 ] }
{ "cup": [ 0.10778157600261065, 0.5685887980386413 ], "block": [ 0.10778157600261065, 0.5685887980386413 ] }
[ -0.052289619799128786, 0.6030139622597357, 0.3404556153841766 ]
light
hide_block_with_cup
39
{ "cup": [ 0.1184357529513457, 0.7959949440889293 ], "block": [ -0.08161854060569694, 0.6587158857382119 ] }
{ "cup": [ -0.08161854060569694, 0.6587158857382119 ], "block": [ -0.08161854060569694, 0.6587158857382119 ] }
[ -0.09293801006404181, 0.6025359932253898, 0.38806892990992714 ]
light
hide_block_with_cup
4
{ "cup": [ -0.029060332250330057, 0.765789330782426 ], "block": [ 0.09208204701996638, 0.5201920696721143 ] }
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[ -0.040130622985537864, 0.49631073023601974, 0.26104407473281876 ]
light
hide_block_with_cup
40
{ "cup": [ 0.1399704783169785, 0.671253225087985 ], "block": [ -0.06565347471129548, 0.5606471106399331 ] }
{ "cup": [ -0.06565347471129548, 0.5606471106399331 ], "block": [ -0.06565347471129548, 0.5606471106399331 ] }
[ 0.11319902845445765, 0.680410663728851, 0.3500643600638128 ]
light
hide_block_with_cup
41
{ "cup": [ -0.06297687808037779, 0.7916883245458499 ], "block": [ 0.06641491527531584, 0.6299239238685129 ] }
{ "cup": [ 0.06641491527531584, 0.6299239238685129 ], "block": [ 0.06641491527531584, 0.6299239238685129 ] }
[ -0.09090986239096824, 0.631634397238903, 0.3821338111344835 ]
light
hide_block_with_cup
42
{ "cup": [ -0.12100980979563801, 0.715804639848338 ], "block": [ 0.031232321190420353, 0.5422831640950789 ] }
{ "cup": [ 0.031232321190420353, 0.5422831640950789 ], "block": [ 0.031232321190420353, 0.5422831640950789 ] }
[ -0.039748920213745, 0.560984619510158, 0.26217947948142933 ]
light
hide_block_with_cup
43
{ "cup": [ -0.10923857372796511, 0.7420764319529705 ], "block": [ 0.08864922767724212, 0.615466378087494 ] }
{ "cup": [ 0.08864922767724212, 0.615466378087494 ], "block": [ 0.08864922767724212, 0.615466378087494 ] }
[ 0.12977761547762226, 0.5782447447193025, 0.39799023954341406 ]
light
hide_block_with_cup
44
{ "cup": [ -0.12343581458474351, 0.6777650922609371 ], "block": [ 0.07817173314532871, 0.7180073538998492 ] }
{ "cup": [ 0.07817173314532871, 0.7180073538998492 ], "block": [ 0.07817173314532871, 0.7180073538998492 ] }
[ 0.0917189876251398, 0.678700220635404, 0.3421965331510919 ]
light
hide_block_with_cup
45
{ "cup": [ -0.12824486122520884, 0.7577567710725752 ], "block": [ 0.08397721120920523, 0.7092146784012955 ] }
{ "cup": [ 0.08397721120920523, 0.7092146784012955 ], "block": [ 0.08397721120920523, 0.7092146784012955 ] }
[ -0.04562268259868903, 0.6455283723082753, 0.29855006820433394 ]
light
hide_block_with_cup
46
{ "cup": [ -0.10238912467793815, 0.5392723071871437 ], "block": [ -0.014954447227258999, 0.7778204322006731 ] }
{ "cup": [ -0.014954447227258999, 0.7778204322006731 ], "block": [ -0.014954447227258999, 0.7778204322006731 ] }
[ -0.028036400905224634, 0.5782924074315012, 0.3436130216504903 ]
light
hide_block_with_cup
47
{ "cup": [ 0.13114044791102714, 0.6186649575613934 ], "block": [ -0.12971431816613382, 0.7221359428753296 ] }
{ "cup": [ -0.12971431816613382, 0.7221359428753296 ], "block": [ -0.12971431816613382, 0.7221359428753296 ] }
[ -0.034409608726253135, 0.6805824215495277, 0.36073504792517774 ]
light
hide_block_with_cup
48
{ "cup": [ 0.09608155953607558, 0.6346885651850581 ], "block": [ -0.087482378314937, 0.718894973754642 ] }
{ "cup": [ -0.087482378314937, 0.718894973754642 ], "block": [ -0.087482378314937, 0.718894973754642 ] }
[ 0.05441689852083509, 0.48129142364161615, 0.29276099615806217 ]
light
hide_block_with_cup
49
{ "cup": [ 0.11781837032033153, 0.588390357632123 ], "block": [ -0.16043558775639302, 0.756830889501861 ] }
{ "cup": [ -0.16043558775639302, 0.756830889501861 ], "block": [ -0.16043558775639302, 0.756830889501861 ] }
[ 0.06282633712178726, 0.6776198360042374, 0.3896136818814816 ]
light
hide_block_with_cup
5
{ "cup": [ -0.006374359891373721, 0.7162798714306897 ], "block": [ -0.09661144578338826, 0.5188342147444992 ] }
{ "cup": [ -0.09661144578338826, 0.5188342147444992 ], "block": [ -0.09661144578338826, 0.5188342147444992 ] }
[ -0.005094563085594278, 0.48184194875822056, 0.371349189970381 ]
light
hide_block_with_cup
50
{ "cup": [ 0.06650742558857885, 0.5887922440356359 ], "block": [ -0.04903153228459686, 0.7785676822548999 ] }
{ "cup": [ -0.04903153228459686, 0.7785676822548999 ], "block": [ -0.04903153228459686, 0.7785676822548999 ] }
[ 0.11088755630362243, 0.547641295757795, 0.3073155577403326 ]
light
hide_block_with_cup
51
{ "cup": [ 0.06395182964977705, 0.6121950554139888 ], "block": [ -0.13300009042536312, 0.6828425819614847 ] }
{ "cup": [ -0.13300009042536312, 0.6828425819614847 ], "block": [ -0.13300009042536312, 0.6828425819614847 ] }
[ -0.01125266265665914, 0.6033472407097116, 0.30094610205811356 ]
light
hide_block_with_cup
52
{ "cup": [ 0.08097265328393605, 0.5848863871610206 ], "block": [ -0.06688885215755867, 0.7914228220060932 ] }
{ "cup": [ -0.06688885215755867, 0.7914228220060932 ], "block": [ -0.06688885215755867, 0.7914228220060932 ] }
[ 0.1351960714610562, 0.521521958089853, 0.31591142278827844 ]
light
hide_block_with_cup
53
{ "cup": [ 0.01477269387125904, 0.5545770957819723 ], "block": [ -0.12184157423757845, 0.7798117048159217 ] }
{ "cup": [ -0.12184157423757845, 0.7798117048159217 ], "block": [ -0.12184157423757845, 0.7798117048159217 ] }
[ 0.1330934427792725, 0.6133404338377102, 0.32764591240741564 ]
light
hide_block_with_cup
54
{ "cup": [ 0.05099879616472687, 0.5333755245509293 ], "block": [ -0.09830393237696591, 0.6897343773432875 ] }
{ "cup": [ -0.09830393237696591, 0.6897343773432875 ], "block": [ -0.09830393237696591, 0.6897343773432875 ] }
[ -0.008109932630117833, 0.6160169382761045, 0.3688122583519682 ]
light
hide_block_with_cup
55
{ "cup": [ 0.07643863988375665, 0.5291892106194839 ], "block": [ -0.15157758414651606, 0.7741099242409741 ] }
{ "cup": [ -0.15157758414651606, 0.7741099242409741 ], "block": [ -0.15157758414651606, 0.7741099242409741 ] }
[ 0.06026440725059723, 0.6621788415970473, 0.3120312318494396 ]
light
hide_block_with_cup
56
{ "cup": [ 0.1165348771032784, 0.622069421282452 ], "block": [ -0.1012861568556573, 0.5533308587579284 ] }
{ "cup": [ -0.1012861568556573, 0.5533308587579284 ], "block": [ -0.1012861568556573, 0.5533308587579284 ] }
[ -0.10784390985632059, 0.607579041517579, 0.29925651871638453 ]
light
hide_block_with_cup
57
{ "cup": [ 0.08771307003289053, 0.749229204111094 ], "block": [ -0.08379282522595786, 0.5652471126428639 ] }
{ "cup": [ -0.08379282522595786, 0.5652471126428639 ], "block": [ -0.08379282522595786, 0.5652471126428639 ] }
[ -0.04964289980786166, 0.5004169398929595, 0.3093516192479574 ]
light
hide_block_with_cup
58
{ "cup": [ 0.11220510479042942, 0.625533386757523 ], "block": [ -0.052264482929076046, 0.5037556438812687 ] }
{ "cup": [ -0.052264482929076046, 0.5037556438812687 ], "block": [ -0.052264482929076046, 0.5037556438812687 ] }
[ 0.06817394570800345, 0.6262421246921585, 0.3634041767109727 ]
light
hide_block_with_cup
59
{ "cup": [ 0.02785950693037817, 0.7959558140749788 ], "block": [ 0.05942342009575763, 0.5081553797303765 ] }
{ "cup": [ 0.05942342009575763, 0.5081553797303765 ], "block": [ 0.05942342009575763, 0.5081553797303765 ] }
[ 0.07945912172424607, 0.45103946471946205, 0.3974147445345193 ]
light
hide_block_with_cup
6
{ "cup": [ 0.08195152251982898, 0.7185713496699625 ], "block": [ -0.07149905600293427, 0.534408441438612 ] }
{ "cup": [ -0.07149905600293427, 0.534408441438612 ], "block": [ -0.07149905600293427, 0.534408441438612 ] }
[ -0.08480522311557694, 0.5324975251042118, 0.3401535223431753 ]
light
hide_block_with_cup
60
{ "cup": [ -0.09530732563702146, 0.706200445988996 ], "block": [ 0.12798808182342175, 0.7062597459523636 ] }
{ "cup": [ 0.12798808182342175, 0.7062597459523636 ], "block": [ 0.12798808182342175, 0.7062597459523636 ] }
[ -0.13764205803528412, 0.4623983782355168, 0.30803130604924245 ]
light
hide_block_with_cup
61
{ "cup": [ -0.08387623947125332, 0.5832916150294682 ], "block": [ 0.11546173927942832, 0.7458786953283227 ] }
{ "cup": [ 0.11546173927942832, 0.7458786953283227 ], "block": [ 0.11546173927942832, 0.7458786953283227 ] }
[ 0.10147028719678511, 0.45781663116557764, 0.296763772128827 ]
light
hide_block_with_cup
62
{ "cup": [ -0.0929215673219352, 0.524879685871201 ], "block": [ -0.01746470021900498, 0.7139268087969302 ] }
{ "cup": [ -0.01746470021900498, 0.7139268087969302 ], "block": [ -0.01746470021900498, 0.7139268087969302 ] }
[ 0.11241233477671628, 0.5338834038050234, 0.2578920858172957 ]
light
hide_block_with_cup
63
{ "cup": [ 0.07076936472711311, 0.5010338616928369 ], "block": [ 0.05296632888891897, 0.7412005731212743 ] }
{ "cup": [ 0.05296632888891897, 0.7412005731212743 ], "block": [ 0.05296632888891897, 0.7412005731212743 ] }
[ 0.129456157707225, 0.5559042110427311, 0.31104145771535274 ]
light
hide_block_with_cup
64
{ "cup": [ -0.052561598996588466, 0.5073043181194629 ], "block": [ 0.12620450481001383, 0.7810916760993555 ] }
{ "cup": [ 0.12620450481001383, 0.7810916760993555 ], "block": [ 0.12620450481001383, 0.7810916760993555 ] }
[ -0.07651539514096568, 0.49409904532792986, 0.384061927270378 ]
light
hide_block_with_cup
65
{ "cup": [ 0.043485249440280635, 0.5197864547698297 ], "block": [ -0.1075343699820592, 0.7285345550848792 ] }
{ "cup": [ -0.1075343699820592, 0.7285345550848792 ], "block": [ -0.1075343699820592, 0.7285345550848792 ] }
[ 0.09730578809080206, 0.6611902763754678, 0.26855139780614273 ]
light
hide_block_with_cup
66
{ "cup": [ 0.11936092477839963, 0.7295668883559372 ], "block": [ -0.11769547368442662, 0.6711800784198978 ] }
{ "cup": [ -0.11769547368442662, 0.6711800784198978 ], "block": [ -0.11769547368442662, 0.6711800784198978 ] }
[ 0.027759804197407256, 0.49997207535053023, 0.36292053385275136 ]
light
hide_block_with_cup
67
{ "cup": [ 0.08727466674624788, 0.5616494989372892 ], "block": [ -0.12252656850660373, 0.7533176231972951 ] }
{ "cup": [ -0.12252656850660373, 0.7533176231972951 ], "block": [ -0.12252656850660373, 0.7533176231972951 ] }
[ -0.009746693809465218, 0.5411125326482026, 0.33464434240902746 ]
dark
hide_block_with_cup
68
{ "cup": [ 0.06279615672975677, 0.5370265054478308 ], "block": [ -0.15254369590052447, 0.7867864390510806 ] }
{ "cup": [ -0.15254369590052447, 0.7867864390510806 ], "block": [ -0.15254369590052447, 0.7867864390510806 ] }
[ 0.021085183430210763, 0.4990291296065489, 0.34038689166347347 ]
dark
hide_block_with_cup
69
{ "cup": [ 0.08945544676971687, 0.6887600006070356 ], "block": [ -0.08911374834586207, 0.5218234519341376 ] }
{ "cup": [ -0.08911374834586207, 0.5218234519341376 ], "block": [ -0.08911374834586207, 0.5218234519341376 ] }
[ 0.1441860204073486, 0.45148919528618403, 0.2615706974746456 ]
dark
hide_block_with_cup
7
{ "cup": [ 0.15422860053849285, 0.7200065726841587 ], "block": [ -0.01281184756330353, 0.5279784342147146 ] }
{ "cup": [ -0.01281184756330353, 0.5279784342147146 ], "block": [ -0.01281184756330353, 0.5279784342147146 ] }
[ -0.0008867302278722233, 0.5866835120986225, 0.3132435571841109 ]
light
hide_block_with_cup
70
{ "cup": [ 0.06560416056948731, 0.7353017680986308 ], "block": [ -0.15770317987600632, 0.7399377018944238 ] }
{ "cup": [ -0.15770317987600632, 0.7399377018944238 ], "block": [ -0.15770317987600632, 0.7399377018944238 ] }
[ -0.050777447136982026, 0.5590051350884753, 0.291267699397788 ]
dark
hide_block_with_cup
71
{ "cup": [ 0.06106128825141843, 0.5356533599544023 ], "block": [ -0.0051616724117034, 0.7490561043753299 ] }
{ "cup": [ -0.0051616724117034, 0.7490561043753299 ], "block": [ -0.0051616724117034, 0.7490561043753299 ] }
[ 0.13211936793181425, 0.5276669829800744, 0.37145513143323994 ]
dark
hide_block_with_cup
72
{ "cup": [ 0.08733837549914654, 0.530817739370507 ], "block": [ -0.0447110181853034, 0.7202462158928464 ] }
{ "cup": [ -0.0447110181853034, 0.7202462158928464 ], "block": [ -0.0447110181853034, 0.7202462158928464 ] }
[ 0.024347350793711586, 0.5881775812438658, 0.25768359335877394 ]
dark
hide_block_with_cup
73
{ "cup": [ 0.16807122678783043, 0.7648056714836147 ], "block": [ -0.029419531790924172, 0.5044321619347737 ] }
{ "cup": [ -0.029419531790924172, 0.5044321619347737 ], "block": [ -0.029419531790924172, 0.5044321619347737 ] }
[ 0.13598511900477542, 0.5360606185240715, 0.3340327106753659 ]
dark
hide_block_with_cup
74
{ "cup": [ -0.07557597399333317, 0.7657482750422875 ], "block": [ -0.045669722809522584, 0.5362469244263549 ] }
{ "cup": [ -0.045669722809522584, 0.5362469244263549 ], "block": [ -0.045669722809522584, 0.5362469244263549 ] }
[ 0.11054520153681005, 0.4933608268770204, 0.26348025253332913 ]
dark
hide_block_with_cup
75
{ "cup": [ -0.12705396896087742, 0.7605130373088128 ], "block": [ -0.01130564263097357, 0.5396801085398231 ] }
{ "cup": [ -0.01130564263097357, 0.5396801085398231 ], "block": [ -0.01130564263097357, 0.5396801085398231 ] }
[ 0.13427254764853888, 0.5968823776517252, 0.2769908353672582 ]
dark
hide_block_with_cup
76
{ "cup": [ -0.12727344923551692, 0.7478461459488734 ], "block": [ 0.11180369106753171, 0.5672510003182194 ] }
{ "cup": [ 0.11180369106753171, 0.5672510003182194 ], "block": [ 0.11180369106753171, 0.5672510003182194 ] }
[ -0.1360383475035544, 0.5671218025464753, 0.34248828468634857 ]
dark
hide_block_with_cup
77
{ "cup": [ -0.11570326906947564, 0.5598126323285678 ], "block": [ 0.10360074269947878, 0.5290966573695333 ] }
{ "cup": [ 0.10360074269947878, 0.5290966573695333 ], "block": [ 0.10360074269947878, 0.5290966573695333 ] }
[ -0.03236031061042688, 0.5167948081758348, 0.3181441014767239 ]
dark
hide_block_with_cup
78
{ "cup": [ 0.08484251753352143, 0.7585894640926902 ], "block": [ -0.08680321399071897, 0.608185705298148 ] }
{ "cup": [ -0.08680321399071897, 0.608185705298148 ], "block": [ -0.08680321399071897, 0.608185705298148 ] }
[ -0.09276681797262518, 0.451619377487594, 0.30014439534676446 ]
dark
hide_block_with_cup
79
{ "cup": [ 0.0904664848494386, 0.5153196747056223 ], "block": [ -0.14687358034073603, 0.7554932822250982 ] }
{ "cup": [ -0.14687358034073603, 0.7554932822250982 ], "block": [ -0.14687358034073603, 0.7554932822250982 ] }
[ 0.0801891198526273, 0.4963534325382871, 0.35988502506274234 ]
dark
hide_block_with_cup
8
{ "cup": [ -0.09633256489674771, 0.7928831385072824 ], "block": [ -0.012529233584344351, 0.5066208984660296 ] }
{ "cup": [ -0.012529233584344351, 0.5066208984660296 ], "block": [ -0.012529233584344351, 0.5066208984660296 ] }
[ 0.08726691425987135, 0.512699997775875, 0.38539402135081335 ]
light
hide_block_with_cup
80
{ "cup": [ -0.09200087238344787, 0.5504536703475598 ], "block": [ 0.12145871481068593, 0.643082828269821 ] }
{ "cup": [ 0.12145871481068593, 0.643082828269821 ], "block": [ 0.12145871481068593, 0.643082828269821 ] }
[ -0.003852001722681214, 0.5767702919359599, 0.3442663856243069 ]
dark
End of preview.

Real Robot Manipulation Dataset

Tabletop manipulation tasks recorded on a UR5e with a Robotiq 2F-140 gripper. Most tasks use two Intel RealSense cameras (fixed base + wrist-mounted); the newest hide_block_with_cup task adds a third (opposite-side counter view). All recordings at 20 Hz.

Tasks

Folder Eps Cameras Instruction
put_blocks_in_plate 100 2 Pick two blocks from the table and place them on the plate.
remove_blocks_from_plate 100 2 Pick two blocks off the plate and place them on the table.
hide_blocks_with_bowl 100 2 Pair the two blocks together and cover them with the bowl.
remove_blocks_under_bowl 100 2 Uncover the hidden blocks and spread the three objects out.
hide_blocks_with_cup 100 2 Cover each block with an upside-down cup.
put_blocks_on_cup 100 2 Lift each cup off a block and stack the block on top of the cup.
put_blocks_down 100 2 Take the blocks off the cups and place them on the table.
hide_block_with_cup 120 3 Cover the block with the upside-down cup. (eps 1-66 light, 67-120 dark)

Each task folder includes a task_instruction.json with the full task spec (objects, pick/place strategies, gripper modes, workspace bounds).

hide_block_with_cup specifics: single-task variant (1 cup + 1 block). Recording captures only the cup-pick + cup-place motion; the inter-episode object randomization is not recorded. A 3rd camera (camera3, oppo-countertop) was added for this task. Per-episode meta.json includes a lighting field ("light" or "dark") — the room lighting changed at episode 67.

Layout

<task>/
    1.hdf5  ...  100.hdf5     # per-episode trajectories (images + state)
    meta/
        1/meta.json  ...  100/meta.json   # per-episode ground truth
    task_instruction.json     # task spec

HDF5 schema (per episode)

/timestamps                       (T,)      float64
/observations/
    images/
        camera1                   (T,H,W,3) uint8   # base, 640x480 RGB
        camera2                   (T,H,W,3) uint8   # wrist, 640x480 RGB
        camera3                   (T,H,W,3) uint8   # (hide_block_with_cup only) oppo-countertop
    qpos                          (T,7)     float32 # 6 joints + gripper (norm)
    state                         (T,14)    float32 # tcp_pos(3)+tcp_quat(4)+joints(6)+gripper(1)
    tcp_pos, tcp_quat, joints, gripper_pos

The HDF5 root attribute num_cameras reports the actual count for that file (2 for all 7 original tasks, 3 for hide_block_with_cup).

meta.json schema (per episode)

For all tasks the meta contains the per-episode ground-truth object positions:

{
    "task": "<task name>",
    "episode": <int>,
    "start": {<objects>: <(x,y)>, ...},
    "end":   {<objects>: <(x,y)>, ...},
    "init_pose": [x, y, z]
}

Task-specific keys are additionally recorded (e.g. perm and cup_order for the cup tasks, sign and active/passive for the bowl hide task, block_order for the bowl/cup remove tasks).

Robot setup

  • Robot: UR5e via RTDE
  • Gripper: Robotiq 2F-140 (auto-calibrated)
  • TCP orientation: pointing straight down (axis-angle [π, 0, 0])
  • Cameras: 2× Intel RealSense, 640×480 @ 20 Hz
  • Workspace: trapezoid with y ∈ [0.50, 0.80] and x half-width 0.10 → 0.18 (linearly with y)

Per-task episode counts

Task Episodes Frames (~) Wall-clock (~)
put_blocks_in_plate 100 45,576 38 min
remove_blocks_from_plate 100 45,929 38 min
hide_blocks_with_bowl 100 43,881 37 min
remove_blocks_under_bowl 100 66,090 55 min
hide_blocks_with_cup 100 (~varies) ~40 min
put_blocks_on_cup 100 (~varies) ~50 min
put_blocks_down 100 (~varies) ~30 min

License

Apache 2.0.

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