The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 242, 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
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 97, in _split_generators
pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 256, in _generate_tables
batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/json.py", line 106, in json_encode_fields_in_json_lines
examples = [ujson_loads(line) for line in original_batch.splitlines()]
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/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/split_names.py", line 65, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.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.
Axis Task 74 Sample Dataset
This repository contains sample data for Task 74 from the Axis Robotics data collection pipeline.
Task Description
Pick up the kettle from the left side of the table and pour its contents into the mug on the right side.
This task is a long-horizon robotic manipulation task involving object grasping, transport, pose control, and pouring behavior.
Overview
This dataset is a small sample release for Task 74. It is intended to illustrate the structure of the collected trajectories and the difference between the raw data and the smoothed version used in downstream processing.
The repository currently includes two folders:
raw/smoothed/
Data Structure
raw/
The raw/ folder contains the original trajectory data directly recorded and saved from the web-based data collection interface.
These files reflect the collected demonstrations in their original form before additional post-processing. They are useful for understanding the initial recorded signals and the structure of the web-collected data.
smoothed/
The smoothed/ folder contains the post-processed version of the same demonstrations.
In this version, smoothing has been applied to:
- the 3D end-effector trajectory
- the robot joint trajectories
The purpose of this processing is to reduce noise and improve trajectory quality for downstream use such as replay, policy training, and analysis.
Purpose of This Sample
This sample dataset is released to provide a lightweight example of the Axis Robotics data format for a real manipulation task.
It can be used to:
- inspect the structure of collected robot trajectories
- compare raw and processed data
- understand how web-collected demonstrations are refined before downstream usage
- serve as a reference example for future larger-scale dataset releases
Notes
This is a sample dataset for demonstration and documentation purposes. It does not represent the full Task 74 dataset.
Folder Layout
.
├── README.md
├── raw/
│ └── trajectory_*.json
└── smoothed/
└── trajectory_*.json
Citation
If you find this sample dataset useful, please visit https://techreport.axisrobotics.ai/ for more details.
Contact
For questions about the dataset, please contact the Axis Robotics team.
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