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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      JSON parse error: Column() changed from object to number in row 0
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 174, in _generate_tables
                  df = pandas_read_json(f)
                       ^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
                  return pd.read_json(path_or_buf, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 815, in read_json
                  return json_reader.read()
                         ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1014, in read
                  obj = self._get_object_parser(self.data)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1040, in _get_object_parser
                  obj = FrameParser(json, **kwargs).parse()
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1176, in parse
                  self._parse()
                File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1391, in _parse
                  self.obj = DataFrame(
                             ^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/core/frame.py", line 778, in __init__
                  mgr = dict_to_mgr(data, index, columns, dtype=dtype, copy=copy, typ=manager)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/core/internals/construction.py", line 503, in dict_to_mgr
                  return arrays_to_mgr(arrays, columns, index, dtype=dtype, typ=typ, consolidate=copy)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/core/internals/construction.py", line 114, in arrays_to_mgr
                  index = _extract_index(arrays)
                          ^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/core/internals/construction.py", line 677, in _extract_index
                  raise ValueError("All arrays must be of the same length")
              ValueError: All arrays must be of the same length
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1815, in _prepare_split_single
                  for _, table in generator:
                                  ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 691, in wrapped
                  for item in generator(*args, **kwargs):
                              ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 177, in _generate_tables
                  raise e
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 151, in _generate_tables
                  pa_table = paj.read_json(
                             ^^^^^^^^^^^^^^
                File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to number in row 0
              
              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 1450, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 993, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1858, 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
texts
list
episode_id
int64
video_length
int64
latent_videos
list
states
list
actions
list
robot_trajectory_prediction
[ "close the cabinet doors" ]
0
387
[ { "latent_video_path": "latent_videos/train/0/0.pt" }, { "latent_video_path": "latent_videos/train/0/1.pt" }, { "latent_video_path": "latent_videos/train/0/2.pt" } ]
[ [ 0.23476776480674744, -0.02547460049390793, 0.5852118730545044, -0.991754412651062, -0.02228979766368866, -0.12512503564357758, 0.01643470861017704, 0.0205520186573267, -0.020531635731458664, 3.200000047683716, -0.800000011920929, 0.699999988079071, 0, 0, ...
[ [ -0.011116406880319118, -0.010037903673946857, 0.009328069165349007, 0.02050258219242096, 0.009914985857903957, 0.0059504322707653046, 0, 0, 0, 0, 0, 0 ], [ 0.006675072014331818, -0.00039383539115078747, 0.000028376805857988074, 0.0003299590316601...
robot_trajectory_prediction
[ "close the cabinet doors" ]
1
357
[{"latent_video_path":"latent_videos/train/1/0.pt"},{"latent_video_path":"latent_videos/train/1/1.pt(...TRUNCATED)
[[0.23476776480674744,-0.02547460049390793,0.5852118730545044,-0.991754412651062,-0.0222897976636886(...TRUNCATED)
[[-0.011116406880319118,-0.010037903673946857,0.009328069165349007,0.02050258219242096,0.00991498585(...TRUNCATED)
robot_trajectory_prediction
[ "close the cabinet doors" ]
10
396
[{"latent_video_path":"latent_videos/train/10/0.pt"},{"latent_video_path":"latent_videos/train/10/1.(...TRUNCATED)
[[0.256976455450058,0.015857551246881485,0.6054689884185791,-0.9873570203781128,-0.04241378605365753(...TRUNCATED)
[[0.09827577322721481,-0.07892091572284698,-0.06509774923324585,-0.036863572895526886,0.053128417581(...TRUNCATED)
robot_trajectory_prediction
[ "close the left drawer" ]
100
199
[{"latent_video_path":"latent_videos/train/100/0.pt"},{"latent_video_path":"latent_videos/train/100/(...TRUNCATED)
[[0.23407576978206635,-0.026564598083496094,0.5846185684204102,-0.9918626546859741,-0.02174954116344(...TRUNCATED)
[[-0.002841214183717966,-0.039405256509780884,0.0033854893408715725,-0.05194529518485069,-0.01318387(...TRUNCATED)
robot_trajectory_prediction
[ "pick the water bottle from the counter and place it in the cabinet" ]
1,000
323
[{"latent_video_path":"latent_videos/train/1000/0.pt"},{"latent_video_path":"latent_videos/train/100(...TRUNCATED)
[[0.24186952412128448,-0.013699245639145374,0.591406524181366,-0.9905582666397095,-0.028092667460441(...TRUNCATED)
[[-0.022726040333509445,-0.004266903270035982,0.07515941560268402,0.05803205445408821,-0.02414706908(...TRUNCATED)
robot_trajectory_prediction
[ "pick the onion from the counter and place it in the cabinet" ]
1,001
322
[{"latent_video_path":"latent_videos/train/1001/0.pt"},{"latent_video_path":"latent_videos/train/100(...TRUNCATED)
[[0.23950456082820892,-0.017745552584528923,0.589320719242096,-0.9909746050834656,-0.026105359196662(...TRUNCATED)
[[0.02997233159840107,0.010189485736191273,0.015078633092343807,0.017556075006723404,-0.002912789583(...TRUNCATED)
robot_trajectory_prediction
[ "pick the potato from the counter and place it in the cabinet" ]
1,002
232
[{"latent_video_path":"latent_videos/train/1002/0.pt"},{"latent_video_path":"latent_videos/train/100(...TRUNCATED)
[[0.2453920841217041,-0.007416955195367336,0.5945619344711304,-0.9899009466171265,-0.031164661049842(...TRUNCATED)
[[-0.04671517014503479,-0.03741981089115143,-0.019025446847081184,0.023350074887275696,0.04886634647(...TRUNCATED)
robot_trajectory_prediction
[ "pick the sweet potato from the counter and place it in the cabinet" ]
1,003
354
[{"latent_video_path":"latent_videos/train/1003/0.pt"},{"latent_video_path":"latent_videos/train/100(...TRUNCATED)
[[0.24159279465675354,-0.014179570600390434,0.5911611914634705,-0.9906079769134521,-0.02785708010196(...TRUNCATED)
[[0.09077532589435577,-0.10627278685569763,-0.019581573083996773,-0.06722575426101685,-0.10917288064(...TRUNCATED)
robot_trajectory_prediction
[ "pick the bottled drink from the counter and place it in the cabinet" ]
1,005
200
[{"latent_video_path":"latent_videos/train/1005/0.pt"},{"latent_video_path":"latent_videos/train/100(...TRUNCATED)
[[0.2539950907230377,0.009426470845937729,0.602569043636322,-0.9880765676498413,-0.03932531177997589(...TRUNCATED)
[[0.018020963296294212,-0.0162758007645607,-0.02690919116139412,0.03208312764763832,-0.0970973819494(...TRUNCATED)
robot_trajectory_prediction
[ "pick the rolling pin from the counter and place it in the cabinet" ]
1,006
354
[{"latent_video_path":"latent_videos/train/1006/0.pt"},{"latent_video_path":"latent_videos/train/100(...TRUNCATED)
[[0.2471686750650406,-0.00412328913807869,0.5961778163909912,-0.9895511865615845,-0.0327689349651336(...TRUNCATED)
[[-0.027573425322771072,0.0627259686589241,-0.010931167751550674,0.06879501789808273,-0.044751424342(...TRUNCATED)
End of preview.

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