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: TypeError
Message: Couldn't cast array of type
struct<CITY: struct<strict: struct<correct: int64, incorrect: int64, partial: int64, missed: int64, spurious: int64, precision: double, recall: int64, f1: int64, actual: int64, possible: int64>, partial: struct<correct: int64, incorrect: int64, partial: int64, missed: int64, spurious: int64, precision: double, recall: int64, f1: int64, actual: int64, possible: int64>, ent_type: struct<correct: int64, incorrect: int64, partial: int64, missed: int64, spurious: int64, precision: double, recall: int64, f1: int64, actual: int64, possible: int64>, exact: struct<correct: int64, incorrect: int64, partial: int64, missed: int64, spurious: int64, precision: double, recall: int64, f1: int64, actual: int64, possible: int64>>, TAXNUM: struct<strict: struct<correct: int64, incorrect: int64, partial: int64, missed: int64, spurious: int64, precision: double, recall: int64, f1: int64, actual: int64, possible: int64>, partial: struct<correct: int64, incorrect: int64, partial: int64, missed: int64, spurious: int64, precision: double, recall: int64, f1: int64, actual: int64, possible: int64>, ent_type: struct<correct: int64, incorrect: int64, partial: int64, missed: int64, spurious: int64, precision: double, recall: int64, f1: int64, actual: int64, possible: int64>, exact: struct<correct: int64, incorrect: int64, partial: int64, missed: int64, spurious: int64, precision: double, recall: int64, f1: int64, actual: int64, possible: int64>>, address: struct<strict: struct<correct: int64, incorrect: i
...
recall: double, f1: int64, actual: int64, possible: int64>>, IDCARDNUM: struct<strict: struct<correct: int64, incorrect: int64, partial: int64, missed: int64, spurious: int64, precision: double, recall: int64, f1: int64, actual: int64, possible: int64>, partial: struct<correct: int64, incorrect: int64, partial: int64, missed: int64, spurious: int64, precision: double, recall: int64, f1: int64, actual: int64, possible: int64>, ent_type: struct<correct: int64, incorrect: int64, partial: int64, missed: int64, spurious: int64, precision: double, recall: int64, f1: int64, actual: int64, possible: int64>, exact: struct<correct: int64, incorrect: int64, partial: int64, missed: int64, spurious: int64, precision: double, recall: int64, f1: int64, actual: int64, possible: int64>>, country: struct<strict: struct<correct: int64, incorrect: int64, partial: int64, missed: int64, spurious: int64, precision: int64, recall: double, f1: int64, actual: int64, possible: int64>, partial: struct<correct: int64, incorrect: int64, partial: int64, missed: int64, spurious: int64, precision: int64, recall: double, f1: int64, actual: int64, possible: int64>, ent_type: struct<correct: int64, incorrect: int64, partial: int64, missed: int64, spurious: int64, precision: int64, recall: double, f1: int64, actual: int64, possible: int64>, exact: struct<correct: int64, incorrect: int64, partial: int64, missed: int64, spurious: int64, precision: int64, recall: double, f1: int64, actual: int64, possible: int64>>>
to
{'CITY': {'strict': {'correct': Value('int64'), 'incorrect': Value('int64'), 'partial': Value('int64'), 'missed': Value('int64'), 'spurious': Value('int64'), 'precision': Value('float64'), 'recall': Value('float64'), 'f1': Value('float64'), 'actual': Value('int64'), 'possible': Value('int64')}, 'partial': {'correct': Value('int64'), 'incorrect': Value('int64'), 'partial': Value('int64'), 'missed': Value('int64'), 'spurious': Value('int64'), 'precision': Value('float64'), 'recall': Value('float64'), 'f1': Value('float64'), 'actual': Value('int64'), 'possible': Value('int64')}, 'ent_type': {'correct': Value('int64'), 'incorrect': Value('int64'), 'partial': Value('int64'), 'missed': Value('int64'), 'spurious': Value('int64'), 'precision': Value('float64'), 'recall': Value('float64'), 'f1': Value('float64'), 'actual': Value('int64'), 'possible': Value('int64')}, 'exact': {'correct': Value('int64'), 'incorrect': Value('int64'), 'partial': Value('int64'), 'missed': Value('int64'), 'spurious': Value('int64'), 'precision': Value('float64'), 'recall': Value('float64'), 'f1': Value('float64'), 'actual': Value('int64'), 'possible': Value('int64')}}, 'TAXNUM': {'strict': {'correct': Value('int64'), 'incorrect': Value('int64'), 'partial': Value('int64'), 'missed': Value('int64'), 'spurious': Value('int64'), 'precision': Value('float64'), 'recall': Value('float64'), 'f1': Value('float64'), 'actual': Value('int64'), 'possible': Value('int64')}, 'partial': {'correct': Value('int64'), 'incorr
...
actual': Value('int64'), 'possible': Value('int64')}, 'exact': {'correct': Value('int64'), 'incorrect': Value('int64'), 'partial': Value('int64'), 'missed': Value('int64'), 'spurious': Value('int64'), 'precision': Value('float64'), 'recall': Value('float64'), 'f1': Value('float64'), 'actual': Value('int64'), 'possible': Value('int64')}}, 'IDCARDNUM': {'strict': {'correct': Value('int64'), 'incorrect': Value('int64'), 'partial': Value('int64'), 'missed': Value('int64'), 'spurious': Value('int64'), 'precision': Value('float64'), 'recall': Value('float64'), 'f1': Value('float64'), 'actual': Value('int64'), 'possible': Value('int64')}, 'partial': {'correct': Value('int64'), 'incorrect': Value('int64'), 'partial': Value('int64'), 'missed': Value('int64'), 'spurious': Value('int64'), 'precision': Value('float64'), 'recall': Value('float64'), 'f1': Value('float64'), 'actual': Value('int64'), 'possible': Value('int64')}, 'ent_type': {'correct': Value('int64'), 'incorrect': Value('int64'), 'partial': Value('int64'), 'missed': Value('int64'), 'spurious': Value('int64'), 'precision': Value('float64'), 'recall': Value('float64'), 'f1': Value('float64'), 'actual': Value('int64'), 'possible': Value('int64')}, 'exact': {'correct': Value('int64'), 'incorrect': Value('int64'), 'partial': Value('int64'), 'missed': Value('int64'), 'spurious': Value('int64'), 'precision': Value('float64'), 'recall': Value('float64'), 'f1': Value('float64'), 'actual': Value('int64'), 'possible': Value('int64')}}}
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2303, in cast_table_to_schema
cast_array_to_feature(
~~~~~~~~~~~~~~~~~~~~~^
table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
feature,
^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1852, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
~~~~^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2059, in cast_array_to_feature
_c(array.field(name) if name in array_fields else null_array, subfeature)
~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1854, in wrapper
return func(array, *args, **kwargs)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2109, in cast_array_to_feature
casted_array_values = _c(array.values, feature.feature)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1854, in wrapper
return func(array, *args, **kwargs)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2059, in cast_array_to_feature
_c(array.field(name) if name in array_fields else null_array, subfeature)
~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1854, in wrapper
return func(array, *args, **kwargs)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2059, in cast_array_to_feature
_c(array.field(name) if name in array_fields else null_array, subfeature)
~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1854, in wrapper
return func(array, *args, **kwargs)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2149, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
struct<CITY: struct<strict: struct<correct: int64, incorrect: int64, partial: int64, missed: int64, spurious: int64, precision: double, recall: int64, f1: int64, actual: int64, possible: int64>, partial: struct<correct: int64, incorrect: int64, partial: int64, missed: int64, spurious: int64, precision: double, recall: int64, f1: int64, actual: int64, possible: int64>, ent_type: struct<correct: int64, incorrect: int64, partial: int64, missed: int64, spurious: int64, precision: double, recall: int64, f1: int64, actual: int64, possible: int64>, exact: struct<correct: int64, incorrect: int64, partial: int64, missed: int64, spurious: int64, precision: double, recall: int64, f1: int64, actual: int64, possible: int64>>, TAXNUM: struct<strict: struct<correct: int64, incorrect: int64, partial: int64, missed: int64, spurious: int64, precision: double, recall: int64, f1: int64, actual: int64, possible: int64>, partial: struct<correct: int64, incorrect: int64, partial: int64, missed: int64, spurious: int64, precision: double, recall: int64, f1: int64, actual: int64, possible: int64>, ent_type: struct<correct: int64, incorrect: int64, partial: int64, missed: int64, spurious: int64, precision: double, recall: int64, f1: int64, actual: int64, possible: int64>, exact: struct<correct: int64, incorrect: int64, partial: int64, missed: int64, spurious: int64, precision: double, recall: int64, f1: int64, actual: int64, possible: int64>>, address: struct<strict: struct<correct: int64, incorrect: i
...
recall: double, f1: int64, actual: int64, possible: int64>>, IDCARDNUM: struct<strict: struct<correct: int64, incorrect: int64, partial: int64, missed: int64, spurious: int64, precision: double, recall: int64, f1: int64, actual: int64, possible: int64>, partial: struct<correct: int64, incorrect: int64, partial: int64, missed: int64, spurious: int64, precision: double, recall: int64, f1: int64, actual: int64, possible: int64>, ent_type: struct<correct: int64, incorrect: int64, partial: int64, missed: int64, spurious: int64, precision: double, recall: int64, f1: int64, actual: int64, possible: int64>, exact: struct<correct: int64, incorrect: int64, partial: int64, missed: int64, spurious: int64, precision: double, recall: int64, f1: int64, actual: int64, possible: int64>>, country: struct<strict: struct<correct: int64, incorrect: int64, partial: int64, missed: int64, spurious: int64, precision: int64, recall: double, f1: int64, actual: int64, possible: int64>, partial: struct<correct: int64, incorrect: int64, partial: int64, missed: int64, spurious: int64, precision: int64, recall: double, f1: int64, actual: int64, possible: int64>, ent_type: struct<correct: int64, incorrect: int64, partial: int64, missed: int64, spurious: int64, precision: int64, recall: double, f1: int64, actual: int64, possible: int64>, exact: struct<correct: int64, incorrect: int64, partial: int64, missed: int64, spurious: int64, precision: int64, recall: double, f1: int64, actual: int64, possible: int64>>>
to
{'CITY': {'strict': {'correct': Value('int64'), 'incorrect': Value('int64'), 'partial': Value('int64'), 'missed': Value('int64'), 'spurious': Value('int64'), 'precision': Value('float64'), 'recall': Value('float64'), 'f1': Value('float64'), 'actual': Value('int64'), 'possible': Value('int64')}, 'partial': {'correct': Value('int64'), 'incorrect': Value('int64'), 'partial': Value('int64'), 'missed': Value('int64'), 'spurious': Value('int64'), 'precision': Value('float64'), 'recall': Value('float64'), 'f1': Value('float64'), 'actual': Value('int64'), 'possible': Value('int64')}, 'ent_type': {'correct': Value('int64'), 'incorrect': Value('int64'), 'partial': Value('int64'), 'missed': Value('int64'), 'spurious': Value('int64'), 'precision': Value('float64'), 'recall': Value('float64'), 'f1': Value('float64'), 'actual': Value('int64'), 'possible': Value('int64')}, 'exact': {'correct': Value('int64'), 'incorrect': Value('int64'), 'partial': Value('int64'), 'missed': Value('int64'), 'spurious': Value('int64'), 'precision': Value('float64'), 'recall': Value('float64'), 'f1': Value('float64'), 'actual': Value('int64'), 'possible': Value('int64')}}, 'TAXNUM': {'strict': {'correct': Value('int64'), 'incorrect': Value('int64'), 'partial': Value('int64'), 'missed': Value('int64'), 'spurious': Value('int64'), 'precision': Value('float64'), 'recall': Value('float64'), 'f1': Value('float64'), 'actual': Value('int64'), 'possible': Value('int64')}, 'partial': {'correct': Value('int64'), 'incorr
...
actual': Value('int64'), 'possible': Value('int64')}, 'exact': {'correct': Value('int64'), 'incorrect': Value('int64'), 'partial': Value('int64'), 'missed': Value('int64'), 'spurious': Value('int64'), 'precision': Value('float64'), 'recall': Value('float64'), 'f1': Value('float64'), 'actual': Value('int64'), 'possible': Value('int64')}}, 'IDCARDNUM': {'strict': {'correct': Value('int64'), 'incorrect': Value('int64'), 'partial': Value('int64'), 'missed': Value('int64'), 'spurious': Value('int64'), 'precision': Value('float64'), 'recall': Value('float64'), 'f1': Value('float64'), 'actual': Value('int64'), 'possible': Value('int64')}, 'partial': {'correct': Value('int64'), 'incorrect': Value('int64'), 'partial': Value('int64'), 'missed': Value('int64'), 'spurious': Value('int64'), 'precision': Value('float64'), 'recall': Value('float64'), 'f1': Value('float64'), 'actual': Value('int64'), 'possible': Value('int64')}, 'ent_type': {'correct': Value('int64'), 'incorrect': Value('int64'), 'partial': Value('int64'), 'missed': Value('int64'), 'spurious': Value('int64'), 'precision': Value('float64'), 'recall': Value('float64'), 'f1': Value('float64'), 'actual': Value('int64'), 'possible': Value('int64')}, 'exact': {'correct': Value('int64'), 'incorrect': Value('int64'), 'partial': Value('int64'), 'missed': Value('int64'), 'spurious': Value('int64'), 'precision': Value('float64'), 'recall': Value('float64'), 'f1': Value('float64'), 'actual': Value('int64'), 'possible': Value('int64')}}}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.
README.md exists but content is empty.
- Downloads last month
- 225