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The dataset generation failed
Error code: DatasetGenerationError
Exception: ValueError
Message: Expected object or value
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
pa_table = paj.read_json(
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
)
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
raise convert_status(status)
pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to number in row 0
During handling of the above exception, another exception occurred:
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 304, in _generate_tables
batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 111, in json_encode_fields_in_json_lines
examples = [ujson_loads(line) for line in original_batch.splitlines()]
~~~~~~~~~~~^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
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 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 | 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) |
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