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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: Couldn't cast array of type
list<item: double>
to
List(Value('float64'), length=79)
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/hdf5/hdf5.py", line 91, in _generate_tables
yield Key(file_idx, batch_idx), cast_table_to_features(pa_table, self.info.features)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2197, in cast_table_to_features
arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1795, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2002, in cast_array_to_feature
_c(array.field(name) if name in array_fields else null_array, subfeature)
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1797, in wrapper
return func(array, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2002, in cast_array_to_feature
_c(array.field(name) if name in array_fields else null_array, subfeature)
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1797, in wrapper
return func(array, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2092, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
list<item: double>
to
List(Value('float64'), length=79)
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.
data dict |
|---|
{"demo_0":{"actions":[0.0,0.0,5.6249999999999964,0.0,0.0,-0.0,-1.0],"dones":0,"obs":{"agentview_rgb"(...TRUNCATED) |
{"demo_0":{"actions":[0.0,0.0,5.6249999999999964,0.0,0.0,-0.0,-1.0],"dones":0,"obs":{"agentview_rgb"(...TRUNCATED) |
{"demo_0":{"actions":[0.0,0.0,5.625000000000001,0.0,0.0,-0.0,-1.0],"dones":0,"obs":{"agentview_rgb":(...TRUNCATED) |
{"demo_0":{"actions":[0.0,0.0,5.625000000000001,0.0,0.0,-0.0,-1.0],"dones":0,"obs":{"agentview_rgb":(...TRUNCATED) |
{"demo_0":{"actions":[0.0,0.0,5.625000000000001,0.0,0.0,-0.0,-1.0],"dones":0,"obs":{"agentview_rgb":(...TRUNCATED) |
{"demo_0":{"actions":[0.0,0.0,5.625000000000001,0.0,0.0,-0.0,-1.0],"dones":0,"obs":{"agentview_rgb":(...TRUNCATED) |
{"demo_0":{"actions":[0.0,5.625000000000001,0.0,0.0,0.0,-0.0,-1.0],"dones":0,"obs":{"agentview_rgb":(...TRUNCATED) |
{"demo_0":{"actions":[0.0,5.625000000000001,0.0,0.0,0.0,-0.0,-1.0],"dones":0,"obs":{"agentview_rgb":(...TRUNCATED) |
{"demo_0":{"actions":[0.0,5.625000000000001,0.0,0.0,0.0,-0.0,-1.0],"dones":0,"obs":{"agentview_rgb":(...TRUNCATED) |
{"demo_0":{"actions":[0.0,5.625000000000001,0.0,0.0,0.0,-0.0,-1.0],"dones":0,"obs":{"agentview_rgb":(...TRUNCATED) |
End of preview.
📦 RoboCerebra HDF5 Dataset
This repository contains the structured HDF5 dataset for the RoboCerebra project, optimized for high-performance robot learning training.
✅ Status: Data Upload Complete. All large-scale data files are now available for full download and experimental use.
📖 Data Source
The dataset is derived from the RoboCerebra-Bench raw collection.
- Content: Humanoid robotic manipulation demonstrations across various complex environments and tasks.
- Structure: Raw trajectory data has been processed and unified into a standard HDF5 format, enabling fast random access and efficient data loading during training.
🛠️ Data Conversion Script
The HDF5 files in this repository were converted from the official raw dataset qiukingballball/RoboCerebraBench using the processing scripts provided in the official RoboCerebra repository.
If you need to regenerate the HDF5 files or process custom data subsets, please follow the instructions from the official source:
Clone the official conversion tool: Visit github.com/qiuboxiang/RoboCerebra to get the latest scripts.
Navigate to the builder directory:
cd rlds_dataset_builder/Run the conversion script: Ensure the
--robocerebra_raw_data_dirpoints to your local copy of theRoboCerebraBenchraw data.python regenerate_robocerebra_dataset.py \ --robocerebra_raw_data_dir "/path/to/RoboCerebraBench/Ideal" \ --robocerebra_target_dir "./converted_hdf5/robocerebra_ideal"
Argument Descriptions
--robocerebra_raw_data_dir: Root directory containing the raw demonstration data fromqiukingballball/RoboCerebraBench.--robocerebra_target_dir: Target path for the output HDF5 files.
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