Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
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/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/parquet/parquet.py", line 127, in _split_generators
self.info.features = datasets.Features.from_arrow_schema(pq.read_schema(f))
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 2392, in read_schema
file = ParquetFile(
^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 328, in __init__
self.reader.open(
File "pyarrow/_parquet.pyx", line 1656, in pyarrow._parquet.ParquetReader.open
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Parquet magic bytes not found in footer. Either the file is corrupted or this is not a parquet file.
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 66, 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.
This dataset was created using LeRobot.
Dataset Structure
{
"codebase_version": "v3.0",
"robot_type": "franka",
"total_episodes": 3242,
"total_frames": 213972,
"total_tasks": 403,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 15,
"splits": {
"train": "0:3242"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4",
"features": {
"observation.images.rgb_gripper": {
"dtype": "video",
"shape": [
84,
84,
3
],
"names": [
"height",
"width",
"rgb"
],
"info": {
"video.height": 84,
"video.width": 84,
"video.codec": "av1",
"video.pix_fmt": "yuv420p",
"video.is_depth_map": false,
"video.fps": 15,
"video.channels": 3,
"has_audio": false
}
},
"observation.images.rgb_static": {
"dtype": "video",
"shape": [
150,
200,
3
],
"names": [
"height",
"width",
"rgb"
],
"info": {
"video.height": 150,
"video.width": 200,
"video.codec": "av1",
"video.pix_fmt": "yuv420p",
"video.is_depth_map": false,
"video.fps": 15,
"video.channels": 3,
"has_audio": false
}
},
"state.eef_xyz": {
"dtype": "float32",
"shape": [
3
],
"names": [
"x",
"y",
"z"
]
},
"state.eef_rpy": {
"dtype": "float32",
"shape": [
3
],
"names": [
"roll",
"pitch",
"yaw"
]
},
"state.joint_position": {
"dtype": "float32",
"shape": [
7
],
"names": [
"joint_0",
"joint_1",
"joint_2",
"joint_3",
"joint_4",
"joint_5",
"joint_6"
]
},
"state.gripper_state": {
"dtype": "float32",
"shape": [
1
],
"names": [
"gripper"
]
},
"state.eef_quat": {
"dtype": "float32",
"shape": [
4
],
"names": [
"x",
"y",
"z",
"w"
]
},
"state.eef_rot6d": {
"dtype": "float32",
"shape": [
6
],
"names": [
"rot1",
"rot2",
"rot3",
"rot4",
"rot5",
"rot6"
]
},
"state": {
"dtype": "float32",
"shape": [
8
],
"names": [
"joint_0",
"joint_1",
"joint_2",
"joint_3",
"joint_4",
"joint_5",
"joint_6",
"gripper"
]
},
"action.eef_xyz": {
"dtype": "float32",
"shape": [
3
],
"names": [
"x",
"y",
"z"
]
},
"action.eef_rpy": {
"dtype": "float32",
"shape": [
3
],
"names": [
"roll",
"pitch",
"yaw"
]
},
"action.eef_quat": {
"dtype": "float32",
"shape": [
4
],
"names": [
"x",
"y",
"z",
"w"
]
},
"action.eef_rot6d": {
"dtype": "float32",
"shape": [
6
],
"names": [
"rot1",
"rot2",
"rot3",
"rot4",
"rot5",
"rot6"
]
},
"action.command_eef_xyz": {
"dtype": "float32",
"shape": [
3
],
"names": [
"x",
"y",
"z"
]
},
"action.command_eef_rpy": {
"dtype": "float32",
"shape": [
3
],
"names": [
"roll",
"pitch",
"yaw"
]
},
"action.command_gripper_state": {
"dtype": "float32",
"shape": [
1
],
"names": [
"gripper"
]
},
"action": {
"dtype": "float32",
"shape": [
8
],
"names": [
"x",
"y",
"z",
"roll",
"pitch",
"yaw",
"pad",
"gripper"
]
},
"timestamp": {
"dtype": "float32",
"shape": [
1
],
"names": null
},
"frame_index": {
"dtype": "int64",
"shape": [
1
],
"names": null
},
"episode_index": {
"dtype": "int64",
"shape": [
1
],
"names": null
},
"index": {
"dtype": "int64",
"shape": [
1
],
"names": null
},
"task_index": {
"dtype": "int64",
"shape": [
1
],
"names": null
}
}
}
Citation
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