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
baseline_correct: struct<CS1: list<item: int64>, CS2: list<item: int64>, CS3: list<item: int64>, CS4: list<item: int64 (... 26 chars omitted)
child 0, CS1: list<item: int64>
child 0, item: int64
child 1, CS2: list<item: int64>
child 0, item: int64
child 2, CS3: list<item: int64>
child 0, item: int64
child 3, CS4: list<item: int64>
child 0, item: int64
child 4, CS5: list<item: int64>
child 0, item: int64
total: int64
per_cs: struct<CS1: int64, CS2: int64, CS3: int64, CS4: int64, CS5: int64>
child 0, CS1: int64
child 1, CS2: int64
child 2, CS3: int64
child 3, CS4: int64
child 4, CS5: int64
3 signals: EAP+Gra+Mag: struct<n_signals: int64, skeleton: int64, retention: double, retained: int64, per_cs: struct<CS1: in (... 53 chars omitted)
child 0, n_signals: int64
child 1, skeleton: int64
child 2, retention: double
child 3, retained: int64
child 4, per_cs: struct<CS1: int64, CS2: int64, CS3: int64, CS4: int64, CS5: int64>
child 0, CS1: int64
child 1, CS2: int64
child 2, CS3: int64
child 3, CS4: int64
child 4, CS5: int64
EAP + Weight Δ: struct<n_signals: int64, skeleton: int64, retention: double, retained: int64, per_cs: struct<CS1: in (... 53 chars omitted)
child 0, n_signals: int64
child 1, skeleton: int64
child 2, retention: double
child 3, retained: int64
child 4, per_cs: struct<CS1: int64, CS2: int64, CS3: int64, CS4: int64, CS5: int64>
child 0, CS1: int64
child 1, CS
...
64
child 1, CS2: int64
child 2, CS3: int64
child 3, CS4: int64
child 4, CS5: int64
EAP + Activation Δ: struct<n_signals: int64, skeleton: int64, retention: double, retained: int64, per_cs: struct<CS1: in (... 53 chars omitted)
child 0, n_signals: int64
child 1, skeleton: int64
child 2, retention: double
child 3, retained: int64
child 4, per_cs: struct<CS1: int64, CS2: int64, CS3: int64, CS4: int64, CS5: int64>
child 0, CS1: int64
child 1, CS2: int64
child 2, CS3: int64
child 3, CS4: int64
child 4, CS5: int64
Edge Imp: struct<n_signals: int64, skeleton: int64, retention: double, retained: int64, per_cs: struct<CS1: in (... 53 chars omitted)
child 0, n_signals: int64
child 1, skeleton: int64
child 2, retention: double
child 3, retained: int64
child 4, per_cs: struct<CS1: int64, CS2: int64, CS3: int64, CS4: int64, CS5: int64>
child 0, CS1: int64
child 1, CS2: int64
child 2, CS3: int64
child 3, CS4: int64
child 4, CS5: int64
Magnitude: struct<n_signals: int64, skeleton: int64, retention: double, retained: int64, per_cs: struct<CS1: in (... 53 chars omitted)
child 0, n_signals: int64
child 1, skeleton: int64
child 2, retention: double
child 3, retained: int64
child 4, per_cs: struct<CS1: int64, CS2: int64, CS3: int64, CS4: int64, CS5: int64>
child 0, CS1: int64
child 1, CS2: int64
child 2, CS3: int64
child 3, CS4: int64
child 4, CS5: int64
to
{'Random': {'n_signals': Value('int64'), 'skeleton': Value('int64'), 'retention': Value('float64'), 'retained': Value('int64'), 'per_cs': {'CS1': Value('int64'), 'CS2': Value('int64'), 'CS3': Value('int64'), 'CS4': Value('int64'), 'CS5': Value('int64')}}, 'EAP': {'n_signals': Value('int64'), 'skeleton': Value('int64'), 'retention': Value('float64'), 'retained': Value('int64'), 'per_cs': {'CS1': Value('int64'), 'CS2': Value('int64'), 'CS3': Value('int64'), 'CS4': Value('int64'), 'CS5': Value('int64')}}, 'Gradient': {'n_signals': Value('int64'), 'skeleton': Value('int64'), 'retention': Value('float64'), 'retained': Value('int64'), 'per_cs': {'CS1': Value('int64'), 'CS2': Value('int64'), 'CS3': Value('int64'), 'CS4': Value('int64'), 'CS5': Value('int64')}}, 'Magnitude': {'n_signals': Value('int64'), 'skeleton': Value('int64'), 'retention': Value('float64'), 'retained': Value('int64'), 'per_cs': {'CS1': Value('int64'), 'CS2': Value('int64'), 'CS3': Value('int64'), 'CS4': Value('int64'), 'CS5': Value('int64')}}, 'Weight Δ': {'n_signals': Value('int64'), 'skeleton': Value('int64'), 'retention': Value('float64'), 'retained': Value('int64'), 'per_cs': {'CS1': Value('int64'), 'CS2': Value('int64'), 'CS3': Value('int64'), 'CS4': Value('int64'), 'CS5': Value('int64')}}, 'Activation Δ': {'n_signals': Value('int64'), 'skeleton': Value('int64'), 'retention': Value('float64'), 'retained': Value('int64'), 'per_cs': {'CS1': Value('int64'), 'CS2': Value('int64'), 'CS3': Value('int64'), 'CS4':
...
: {'CS1': Value('int64'), 'CS2': Value('int64'), 'CS3': Value('int64'), 'CS4': Value('int64'), 'CS5': Value('int64')}}, '3 signals: EAP+Gra+Mag': {'n_signals': Value('int64'), 'skeleton': Value('int64'), 'retention': Value('float64'), 'retained': Value('int64'), 'per_cs': {'CS1': Value('int64'), 'CS2': Value('int64'), 'CS3': Value('int64'), 'CS4': Value('int64'), 'CS5': Value('int64')}}, '4 signals: EAP+Gra+Mag+Wei': {'n_signals': Value('int64'), 'skeleton': Value('int64'), 'retention': Value('float64'), 'retained': Value('int64'), 'per_cs': {'CS1': Value('int64'), 'CS2': Value('int64'), 'CS3': Value('int64'), 'CS4': Value('int64'), 'CS5': Value('int64')}}, '5 signals: EAP+Gra+Mag+Wei+Act': {'n_signals': Value('int64'), 'skeleton': Value('int64'), 'retention': Value('float64'), 'retained': Value('int64'), 'per_cs': {'CS1': Value('int64'), 'CS2': Value('int64'), 'CS3': Value('int64'), 'CS4': Value('int64'), 'CS5': Value('int64')}}, '6 signals: EAP+Gra+Mag+Wei+Act+Edg': {'n_signals': Value('int64'), 'skeleton': Value('int64'), 'retention': Value('float64'), 'retained': Value('int64'), 'per_cs': {'CS1': Value('int64'), 'CS2': Value('int64'), 'CS3': Value('int64'), 'CS4': Value('int64'), 'CS5': Value('int64')}}, 'Full method (tier rules)': {'n_signals': Value('int64'), 'skeleton': Value('int64'), 'retention': Value('float64'), 'retained': Value('int64'), 'per_cs': {'CS1': Value('int64'), 'CS2': Value('int64'), 'CS3': Value('int64'), 'CS4': Value('int64'), 'CS5': Value('int64')}}}
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
baseline_correct: struct<CS1: list<item: int64>, CS2: list<item: int64>, CS3: list<item: int64>, CS4: list<item: int64 (... 26 chars omitted)
child 0, CS1: list<item: int64>
child 0, item: int64
child 1, CS2: list<item: int64>
child 0, item: int64
child 2, CS3: list<item: int64>
child 0, item: int64
child 3, CS4: list<item: int64>
child 0, item: int64
child 4, CS5: list<item: int64>
child 0, item: int64
total: int64
per_cs: struct<CS1: int64, CS2: int64, CS3: int64, CS4: int64, CS5: int64>
child 0, CS1: int64
child 1, CS2: int64
child 2, CS3: int64
child 3, CS4: int64
child 4, CS5: int64
3 signals: EAP+Gra+Mag: struct<n_signals: int64, skeleton: int64, retention: double, retained: int64, per_cs: struct<CS1: in (... 53 chars omitted)
child 0, n_signals: int64
child 1, skeleton: int64
child 2, retention: double
child 3, retained: int64
child 4, per_cs: struct<CS1: int64, CS2: int64, CS3: int64, CS4: int64, CS5: int64>
child 0, CS1: int64
child 1, CS2: int64
child 2, CS3: int64
child 3, CS4: int64
child 4, CS5: int64
EAP + Weight Δ: struct<n_signals: int64, skeleton: int64, retention: double, retained: int64, per_cs: struct<CS1: in (... 53 chars omitted)
child 0, n_signals: int64
child 1, skeleton: int64
child 2, retention: double
child 3, retained: int64
child 4, per_cs: struct<CS1: int64, CS2: int64, CS3: int64, CS4: int64, CS5: int64>
child 0, CS1: int64
child 1, CS
...
64
child 1, CS2: int64
child 2, CS3: int64
child 3, CS4: int64
child 4, CS5: int64
EAP + Activation Δ: struct<n_signals: int64, skeleton: int64, retention: double, retained: int64, per_cs: struct<CS1: in (... 53 chars omitted)
child 0, n_signals: int64
child 1, skeleton: int64
child 2, retention: double
child 3, retained: int64
child 4, per_cs: struct<CS1: int64, CS2: int64, CS3: int64, CS4: int64, CS5: int64>
child 0, CS1: int64
child 1, CS2: int64
child 2, CS3: int64
child 3, CS4: int64
child 4, CS5: int64
Edge Imp: struct<n_signals: int64, skeleton: int64, retention: double, retained: int64, per_cs: struct<CS1: in (... 53 chars omitted)
child 0, n_signals: int64
child 1, skeleton: int64
child 2, retention: double
child 3, retained: int64
child 4, per_cs: struct<CS1: int64, CS2: int64, CS3: int64, CS4: int64, CS5: int64>
child 0, CS1: int64
child 1, CS2: int64
child 2, CS3: int64
child 3, CS4: int64
child 4, CS5: int64
Magnitude: struct<n_signals: int64, skeleton: int64, retention: double, retained: int64, per_cs: struct<CS1: in (... 53 chars omitted)
child 0, n_signals: int64
child 1, skeleton: int64
child 2, retention: double
child 3, retained: int64
child 4, per_cs: struct<CS1: int64, CS2: int64, CS3: int64, CS4: int64, CS5: int64>
child 0, CS1: int64
child 1, CS2: int64
child 2, CS3: int64
child 3, CS4: int64
child 4, CS5: int64
to
{'Random': {'n_signals': Value('int64'), 'skeleton': Value('int64'), 'retention': Value('float64'), 'retained': Value('int64'), 'per_cs': {'CS1': Value('int64'), 'CS2': Value('int64'), 'CS3': Value('int64'), 'CS4': Value('int64'), 'CS5': Value('int64')}}, 'EAP': {'n_signals': Value('int64'), 'skeleton': Value('int64'), 'retention': Value('float64'), 'retained': Value('int64'), 'per_cs': {'CS1': Value('int64'), 'CS2': Value('int64'), 'CS3': Value('int64'), 'CS4': Value('int64'), 'CS5': Value('int64')}}, 'Gradient': {'n_signals': Value('int64'), 'skeleton': Value('int64'), 'retention': Value('float64'), 'retained': Value('int64'), 'per_cs': {'CS1': Value('int64'), 'CS2': Value('int64'), 'CS3': Value('int64'), 'CS4': Value('int64'), 'CS5': Value('int64')}}, 'Magnitude': {'n_signals': Value('int64'), 'skeleton': Value('int64'), 'retention': Value('float64'), 'retained': Value('int64'), 'per_cs': {'CS1': Value('int64'), 'CS2': Value('int64'), 'CS3': Value('int64'), 'CS4': Value('int64'), 'CS5': Value('int64')}}, 'Weight Δ': {'n_signals': Value('int64'), 'skeleton': Value('int64'), 'retention': Value('float64'), 'retained': Value('int64'), 'per_cs': {'CS1': Value('int64'), 'CS2': Value('int64'), 'CS3': Value('int64'), 'CS4': Value('int64'), 'CS5': Value('int64')}}, 'Activation Δ': {'n_signals': Value('int64'), 'skeleton': Value('int64'), 'retention': Value('float64'), 'retained': Value('int64'), 'per_cs': {'CS1': Value('int64'), 'CS2': Value('int64'), 'CS3': Value('int64'), 'CS4':
...
: {'CS1': Value('int64'), 'CS2': Value('int64'), 'CS3': Value('int64'), 'CS4': Value('int64'), 'CS5': Value('int64')}}, '3 signals: EAP+Gra+Mag': {'n_signals': Value('int64'), 'skeleton': Value('int64'), 'retention': Value('float64'), 'retained': Value('int64'), 'per_cs': {'CS1': Value('int64'), 'CS2': Value('int64'), 'CS3': Value('int64'), 'CS4': Value('int64'), 'CS5': Value('int64')}}, '4 signals: EAP+Gra+Mag+Wei': {'n_signals': Value('int64'), 'skeleton': Value('int64'), 'retention': Value('float64'), 'retained': Value('int64'), 'per_cs': {'CS1': Value('int64'), 'CS2': Value('int64'), 'CS3': Value('int64'), 'CS4': Value('int64'), 'CS5': Value('int64')}}, '5 signals: EAP+Gra+Mag+Wei+Act': {'n_signals': Value('int64'), 'skeleton': Value('int64'), 'retention': Value('float64'), 'retained': Value('int64'), 'per_cs': {'CS1': Value('int64'), 'CS2': Value('int64'), 'CS3': Value('int64'), 'CS4': Value('int64'), 'CS5': Value('int64')}}, '6 signals: EAP+Gra+Mag+Wei+Act+Edg': {'n_signals': Value('int64'), 'skeleton': Value('int64'), 'retention': Value('float64'), 'retained': Value('int64'), 'per_cs': {'CS1': Value('int64'), 'CS2': Value('int64'), 'CS3': Value('int64'), 'CS4': Value('int64'), 'CS5': Value('int64')}}, 'Full method (tier rules)': {'n_signals': Value('int64'), 'skeleton': Value('int64'), 'retention': Value('float64'), 'retained': Value('int64'), 'per_cs': {'CS1': Value('int64'), 'CS2': Value('int64'), 'CS3': Value('int64'), 'CS4': Value('int64'), 'CS5': Value('int64')}}}
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
- 43