Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: ArrowInvalid
Message: Schema at index 2 was different:
shape: list<item: int64>
data_type: string
chunk_grid: struct<name: string, configuration: struct<chunk_shape: list<item: int64>>>
chunk_key_encoding: struct<name: string, configuration: struct<separator: string>>
fill_value: double
codecs: list<item: struct<name: string, configuration: struct<endian: string, level: int64, checksum: bool>>>
attributes: struct<>
zarr_format: int64
node_type: string
storage_transformers: list<item: null>
vs
shape: list<item: int64>
data_type: string
chunk_grid: struct<name: string, configuration: struct<chunk_shape: list<item: int64>>>
chunk_key_encoding: struct<name: string, configuration: struct<separator: string>>
fill_value: int64
codecs: list<item: struct<name: string, configuration: struct<typesize: int64, cname: string, clevel: int64, shuffle: string, blocksize: int64>>>
attributes: struct<>
zarr_format: int64
node_type: string
storage_transformers: list<item: null>
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3608, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2368, in _head
return next(iter(self.iter(batch_size=n)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2573, in iter
for key, example in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2060, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2082, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 572, in _iter_arrow
yield new_key, pa.Table.from_batches(chunks_buffer)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
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: Schema at index 2 was different:
shape: list<item: int64>
data_type: string
chunk_grid: struct<name: string, configuration: struct<chunk_shape: list<item: int64>>>
chunk_key_encoding: struct<name: string, configuration: struct<separator: string>>
fill_value: double
codecs: list<item: struct<name: string, configuration: struct<endian: string, level: int64, checksum: bool>>>
attributes: struct<>
zarr_format: int64
node_type: string
storage_transformers: list<item: null>
vs
shape: list<item: int64>
data_type: string
chunk_grid: struct<name: string, configuration: struct<chunk_shape: list<item: int64>>>
chunk_key_encoding: struct<name: string, configuration: struct<separator: string>>
fill_value: int64
codecs: list<item: struct<name: string, configuration: struct<typesize: int64, cname: string, clevel: int64, shuffle: string, blocksize: int64>>>
attributes: struct<>
zarr_format: int64
node_type: string
storage_transformers: list<item: null>Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Sample Robotics Navigation Dataset
This is currently a work in progress. The dataset contains real data from multiple robot navigating different terrains. The data includes images of the robot's front-facing camera, the robot's position and orientation, and the robot's linear and angular velocities. The dataset is stored in the Zarr format, which is a fast, scalable, and efficient format.
How to Use
To be filled.
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