Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
episode_000000: struct<boot_time_s: double, original_name: string, device_id: string, collector: string, device_side (... 134 chars omitted)
child 0, boot_time_s: double
child 1, original_name: string
child 2, device_id: string
child 3, collector: string
child 4, device_side: string
child 5, calibration: struct<calibration_info: struct<calibration_date: timestamp[s], calibration_status: string>>
child 0, calibration_info: struct<calibration_date: timestamp[s], calibration_status: string>
child 0, calibration_date: timestamp[s]
child 1, calibration_status: string
child 6, exist_pose: bool
episode_000001: struct<boot_time_s: double, original_name: string, device_id: string, collector: string, device_side (... 134 chars omitted)
child 0, boot_time_s: double
child 1, original_name: string
child 2, device_id: string
child 3, collector: string
child 4, device_side: string
child 5, calibration: struct<calibration_info: struct<calibration_date: timestamp[s], calibration_status: string>>
child 0, calibration_info: struct<calibration_date: timestamp[s], calibration_status: string>
child 0, calibration_date: timestamp[s]
child 1, calibration_status: string
child 6, exist_pose: bool
episode_000002: struct<boot_time_s: double, original_name: string, device_id: string, collector: string, device_side (... 134 chars omitted)
child 0, boot_time_s: double
child 1, original_name: string
child 2, device_id: str
...
000264: struct<boot_time_s: double, original_name: string, device_id: string, collector: string, device_side (... 134 chars omitted)
child 0, boot_time_s: double
child 1, original_name: string
child 2, device_id: string
child 3, collector: string
child 4, device_side: string
child 5, calibration: struct<calibration_info: struct<calibration_date: timestamp[s], calibration_status: string>>
child 0, calibration_info: struct<calibration_date: timestamp[s], calibration_status: string>
child 0, calibration_date: timestamp[s]
child 1, calibration_status: string
child 6, exist_pose: bool
episode_000265: struct<boot_time_s: double, original_name: string, device_id: string, collector: string, device_side (... 134 chars omitted)
child 0, boot_time_s: double
child 1, original_name: string
child 2, device_id: string
child 3, collector: string
child 4, device_side: string
child 5, calibration: struct<calibration_info: struct<calibration_date: timestamp[s], calibration_status: string>>
child 0, calibration_info: struct<calibration_date: timestamp[s], calibration_status: string>
child 0, calibration_date: timestamp[s]
child 1, calibration_status: string
child 6, exist_pose: bool
analysis_start_time: timestamp[s]
analysis_end_time: timestamp[s]
tactile_cache_dir: string
output_dir: string
num_workers: int64
report_path: string
analysis_duration_seconds: double
data_roots: list<item: string>
child 0, item: string
to
{'analysis_start_time': Value('timestamp[s]'), 'analysis_end_time': Value('timestamp[s]'), 'analysis_duration_seconds': Value('float64'), 'data_roots': List(Value('string')), 'output_dir': Value('string'), 'tactile_cache_dir': Value('string'), 'num_workers': Value('int64'), 'report_path': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
episode_000000: struct<boot_time_s: double, original_name: string, device_id: string, collector: string, device_side (... 134 chars omitted)
child 0, boot_time_s: double
child 1, original_name: string
child 2, device_id: string
child 3, collector: string
child 4, device_side: string
child 5, calibration: struct<calibration_info: struct<calibration_date: timestamp[s], calibration_status: string>>
child 0, calibration_info: struct<calibration_date: timestamp[s], calibration_status: string>
child 0, calibration_date: timestamp[s]
child 1, calibration_status: string
child 6, exist_pose: bool
episode_000001: struct<boot_time_s: double, original_name: string, device_id: string, collector: string, device_side (... 134 chars omitted)
child 0, boot_time_s: double
child 1, original_name: string
child 2, device_id: string
child 3, collector: string
child 4, device_side: string
child 5, calibration: struct<calibration_info: struct<calibration_date: timestamp[s], calibration_status: string>>
child 0, calibration_info: struct<calibration_date: timestamp[s], calibration_status: string>
child 0, calibration_date: timestamp[s]
child 1, calibration_status: string
child 6, exist_pose: bool
episode_000002: struct<boot_time_s: double, original_name: string, device_id: string, collector: string, device_side (... 134 chars omitted)
child 0, boot_time_s: double
child 1, original_name: string
child 2, device_id: str
...
000264: struct<boot_time_s: double, original_name: string, device_id: string, collector: string, device_side (... 134 chars omitted)
child 0, boot_time_s: double
child 1, original_name: string
child 2, device_id: string
child 3, collector: string
child 4, device_side: string
child 5, calibration: struct<calibration_info: struct<calibration_date: timestamp[s], calibration_status: string>>
child 0, calibration_info: struct<calibration_date: timestamp[s], calibration_status: string>
child 0, calibration_date: timestamp[s]
child 1, calibration_status: string
child 6, exist_pose: bool
episode_000265: struct<boot_time_s: double, original_name: string, device_id: string, collector: string, device_side (... 134 chars omitted)
child 0, boot_time_s: double
child 1, original_name: string
child 2, device_id: string
child 3, collector: string
child 4, device_side: string
child 5, calibration: struct<calibration_info: struct<calibration_date: timestamp[s], calibration_status: string>>
child 0, calibration_info: struct<calibration_date: timestamp[s], calibration_status: string>
child 0, calibration_date: timestamp[s]
child 1, calibration_status: string
child 6, exist_pose: bool
analysis_start_time: timestamp[s]
analysis_end_time: timestamp[s]
tactile_cache_dir: string
output_dir: string
num_workers: int64
report_path: string
analysis_duration_seconds: double
data_roots: list<item: string>
child 0, item: string
to
{'analysis_start_time': Value('timestamp[s]'), 'analysis_end_time': Value('timestamp[s]'), 'analysis_duration_seconds': Value('float64'), 'data_roots': List(Value('string')), 'output_dir': Value('string'), 'tactile_cache_dir': Value('string'), 'num_workers': Value('int64'), 'report_path': Value('string')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Daimon-Infinity mirror
This repository is a file-preserving mirror of daimonrobotics/Daimon-Infinity on ModelScope.
Source and license
- Upstream:
daimonrobotics/Daimon-Infinity - License: CC BY-NC-SA 4.0
- Attribution: Daimon Robotics / Daimon-Infinity
This mirror keeps the upstream directory layout and is distributed under the same CC BY-NC-SA 4.0 license. No data is altered; files are transferred with integrity checks supplied by ModelScope and the Hugging Face Hub.
Mirror status
Transfer is performed by independent resumable workers. A file is downloaded to ephemeral worker storage, uploaded to this repository, and removed before the next file. Re-running a worker skips paths already present on the Hub.
The upstream dataset is very large (ModelScope lists approximately 38.88 TB), so completion will take time and depends on platform throughput.
- Downloads last month
- 852