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
chi: struct<labels: struct<1: string, 2: string, 3: string, 4: string, 5: string, 6: string, 7: string, 8 (... 1629 chars omitted)
child 0, labels: struct<1: string, 2: string, 3: string, 4: string, 5: string, 6: string, 7: string, 8: string, 9: st (... 41 chars omitted)
child 0, 1: string
child 1, 2: string
child 2, 3: string
child 3, 4: string
child 4, 5: string
child 5, 6: string
child 6, 7: string
child 7, 8: string
child 8, 9: string
child 9, 10: string
child 10, 11: string
child 11, 16: string
child 1, recon: struct<1: struct<n: int64, mean: double, std: double, median: double>, 2: struct<n: int64, mean: dou (... 677 chars omitted)
child 0, 1: struct<n: int64, mean: double, std: double, median: double>
child 0, n: int64
child 1, mean: double
child 2, std: double
child 3, median: double
child 1, 2: struct<n: int64, mean: double, std: double, median: double>
child 0, n: int64
child 1, mean: double
child 2, std: double
child 3, median: double
child 2, 3: struct<n: int64, mean: double, std: double, median: double>
child 0, n: int64
child 1, mean: double
child 2, std: double
child 3, median: double
child 3, 4: struct<n: int64, mean: double, std: double, median: double>
child 0, n: int64
child 1, mean: double
child 2, std: double
...
double
child 6, 7: struct<n: int64, mean: double, std: double, median: double>
child 0, n: int64
child 1, mean: double
child 2, std: double
child 3, median: double
child 7, 8: struct<n: int64, mean: double, std: double, median: double>
child 0, n: int64
child 1, mean: double
child 2, std: double
child 3, median: double
child 8, 9: struct<n: int64, mean: double, std: double, median: double>
child 0, n: int64
child 1, mean: double
child 2, std: double
child 3, median: double
child 9, 10: struct<n: int64, mean: double, std: double, median: double>
child 0, n: int64
child 1, mean: double
child 2, std: double
child 3, median: double
child 10, 11: struct<n: int64, mean: double, std: double, median: double>
child 0, n: int64
child 1, mean: double
child 2, std: double
child 3, median: double
child 11, 16: struct<n: int64, mean: double, std: double, median: double>
child 0, n: int64
child 1, mean: double
child 2, std: double
child 3, median: double
cpu_cores: list<item: double>
child 0, item: double
mem_peak_bytes: double
interval_s: double
mem_bytes: list<item: double>
child 0, item: double
cpu_cores_avg: double
sampler: string
t: list<item: double>
child 0, item: double
cpu_cores_max: double
runner: string
to
{'interval_s': Value('float64'), 't': List(Value('float64')), 'mem_bytes': List(Value('float64')), 'cpu_cores': List(Value('float64')), 'mem_peak_bytes': Value('float64'), 'cpu_cores_max': Value('float64'), 'cpu_cores_avg': Value('float64'), 'sampler': Value('string'), 'runner': 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
chi: struct<labels: struct<1: string, 2: string, 3: string, 4: string, 5: string, 6: string, 7: string, 8 (... 1629 chars omitted)
child 0, labels: struct<1: string, 2: string, 3: string, 4: string, 5: string, 6: string, 7: string, 8: string, 9: st (... 41 chars omitted)
child 0, 1: string
child 1, 2: string
child 2, 3: string
child 3, 4: string
child 4, 5: string
child 5, 6: string
child 6, 7: string
child 7, 8: string
child 8, 9: string
child 9, 10: string
child 10, 11: string
child 11, 16: string
child 1, recon: struct<1: struct<n: int64, mean: double, std: double, median: double>, 2: struct<n: int64, mean: dou (... 677 chars omitted)
child 0, 1: struct<n: int64, mean: double, std: double, median: double>
child 0, n: int64
child 1, mean: double
child 2, std: double
child 3, median: double
child 1, 2: struct<n: int64, mean: double, std: double, median: double>
child 0, n: int64
child 1, mean: double
child 2, std: double
child 3, median: double
child 2, 3: struct<n: int64, mean: double, std: double, median: double>
child 0, n: int64
child 1, mean: double
child 2, std: double
child 3, median: double
child 3, 4: struct<n: int64, mean: double, std: double, median: double>
child 0, n: int64
child 1, mean: double
child 2, std: double
...
double
child 6, 7: struct<n: int64, mean: double, std: double, median: double>
child 0, n: int64
child 1, mean: double
child 2, std: double
child 3, median: double
child 7, 8: struct<n: int64, mean: double, std: double, median: double>
child 0, n: int64
child 1, mean: double
child 2, std: double
child 3, median: double
child 8, 9: struct<n: int64, mean: double, std: double, median: double>
child 0, n: int64
child 1, mean: double
child 2, std: double
child 3, median: double
child 9, 10: struct<n: int64, mean: double, std: double, median: double>
child 0, n: int64
child 1, mean: double
child 2, std: double
child 3, median: double
child 10, 11: struct<n: int64, mean: double, std: double, median: double>
child 0, n: int64
child 1, mean: double
child 2, std: double
child 3, median: double
child 11, 16: struct<n: int64, mean: double, std: double, median: double>
child 0, n: int64
child 1, mean: double
child 2, std: double
child 3, median: double
cpu_cores: list<item: double>
child 0, item: double
mem_peak_bytes: double
interval_s: double
mem_bytes: list<item: double>
child 0, item: double
cpu_cores_avg: double
sampler: string
t: list<item: double>
child 0, item: double
cpu_cores_max: double
runner: string
to
{'interval_s': Value('float64'), 't': List(Value('float64')), 'mem_bytes': List(Value('float64')), 'cpu_cores': List(Value('float64')), 'mem_peak_bytes': Value('float64'), 'cpu_cores_max': Value('float64'), 'cpu_cores_avg': Value('float64'), 'sampler': Value('string'), 'runner': 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.
No dataset card yet
- Downloads last month
- 2,796