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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
complete: bool
finish_step: int64
unique_id: string
texts: list<item: null>
child 0, item: null
videos: list<item: struct<video_path: string>>
child 0, item: struct<video_path: string>
child 0, video_path: string
action: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
latent_videos: list<item: null>
child 0, item: null
continuous_gripper_state: list<item: null>
child 0, item: null
episode_id: string
task: string
state: list<item: null>
child 0, item: null
to
{'task': Value('string'), 'texts': List(Value('null')), 'videos': List({'video_path': Value('string')}), 'action': List(List(Value('float64'))), 'state': List(Value('null')), 'continuous_gripper_state': List(Value('null')), 'episode_id': Value('string'), 'latent_videos': List(Value('null'))}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 609, in wrapped
for item in generator(*args, **kwargs):
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 265, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 120, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
complete: bool
finish_step: int64
unique_id: string
texts: list<item: null>
child 0, item: null
videos: list<item: struct<video_path: string>>
child 0, item: struct<video_path: string>
child 0, video_path: string
action: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
latent_videos: list<item: null>
child 0, item: null
continuous_gripper_state: list<item: null>
child 0, item: null
episode_id: string
task: string
state: list<item: null>
child 0, item: null
to
{'task': Value('string'), 'texts': List(Value('null')), 'videos': List({'video_path': Value('string')}), 'action': List(List(Value('float64'))), 'state': List(Value('null')), 'continuous_gripper_state': List(Value('null')), 'episode_id': Value('string'), 'latent_videos': List(Value('null'))}
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 1342, 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 907, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, 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 1922, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
task string | texts list | videos list | action list | state list | continuous_gripper_state list | episode_id string | latent_videos list |
|---|---|---|---|---|---|---|---|
robot_trajectory_prediction | [] | [
{
"video_path": "videos/train/0/rgb.mp4"
}
] | [
[
-0.11087290197610855,
-0.16475211083889008,
0.005638619419187307,
-0.008504661731421947,
-0.0038683905731886625,
-0.05646155774593353,
-0.9960784316062927
],
[
-0.13923852145671844,
0.09421674907207489,
0.005638619419187307,
-0.009591246955096722,
0.048975411802... | [] | [] | 0 | [] |
robot_trajectory_prediction | [] | [
{
"video_path": "videos/train/1/rgb.mp4"
}
] | [
[
-0.02577603980898857,
-0.09476052969694138,
-0.12940914928913116,
0.004534363280981779,
0.030960477888584137,
0.0366315022110939,
-0.9960784316062927
],
[
-0.16193102300167084,
-0.2627403438091278,
-0.11011660844087601,
0.004534363280981779,
0.06939233094453812,... | [] | [] | 1 | [] |
robot_trajectory_prediction | [] | [
{
"video_path": "videos/train/10/rgb.mp4"
}
] | [
[
-0.10519977658987045,
0.04522264003753662,
0.005638619419187307,
-0.01176441740244627,
-0.03389327973127365,
-0.00991502683609724,
-0.9960784316062927
],
[
0.530190110206604,
-0.36772772669792175,
-0.07796237617731094,
-0.009591246955096722,
-0.03389327973127365... | [] | [] | 10 | [] |
robot_trajectory_prediction | [] | [
{
"video_path": "videos/train/100/rgb.mp4"
}
] | [
[
0.1273983120918274,
-0.08076221495866776,
-0.058669839054346085,
-0.009591246955096722,
-0.011074363254010677,
0.05889288708567619,
-0.9960784316062927
],
[
0.1273983120918274,
-0.1927487552165985,
-0.07796237617731094,
-0.007418076042085886,
0.01414654217660427... | [] | [] | 100 | [] |
robot_trajectory_prediction | [] | [
{
"video_path": "videos/train/101/rgb.mp4"
}
] | [
[
-0.05414166301488876,
0.26919570565223694,
-0.013653918169438839,
-0.008504661731421947,
0.028558487072587013,
0.008298832923173904,
-0.9960784316062927
],
[
-0.14491164684295654,
0.26919570565223694,
0.012069465592503548,
-0.009591246955096722,
0.04176943749189... | [] | [] | 101 | [] |
robot_trajectory_prediction | [] | [
{
"video_path": "videos/train/102/rgb.mp4"
}
] | [[-0.24702788889408112,-0.3327319324016571,-0.0007922263466753066,-0.009591246955096722,0.0201515201(...TRUNCATED) | [] | [] | 102 | [] |
robot_trajectory_prediction | [] | [
{
"video_path": "videos/train/103/rgb.mp4"
}
] | [[-0.00875666830688715,-0.15775296092033386,0.08923961967229843,0.00018802174599841237,-0.0338932797(...TRUNCATED) | [] | [] | 103 | [] |
robot_trajectory_prediction | [] | [
{
"video_path": "videos/train/104/rgb.mp4"
}
] | [[-0.10519977658987045,0.08021843433380127,-0.07153153419494629,-0.006331490818411112,0.039367448538(...TRUNCATED) | [] | [] | 104 | [] |
robot_trajectory_prediction | [] | [
{
"video_path": "videos/train/105/rgb.mp4"
}
] | [[0.1444176882505417,0.20620328187942505,0.06351622939109802,-0.009591246955096722,-0.01587834581732(...TRUNCATED) | [] | [] | 105 | [] |
robot_trajectory_prediction | [] | [
{
"video_path": "videos/train/106/rgb.mp4"
}
] | [[0.0933595672249794,-0.19974790513515472,-0.07796237617731094,-0.00524490512907505,0.02135251462459(...TRUNCATED) | [] | [] | 106 | [] |
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