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
forget: struct<d773a11cfeb4239ce6fb4e90bd904310: struct<loss: double, type: string>, 170f0e8f1617864d446ef89 (... 69906 chars omitted)
child 0, d773a11cfeb4239ce6fb4e90bd904310: struct<loss: double, type: string>
child 0, loss: double
child 1, type: string
child 1, 170f0e8f1617864d446ef89746949811: struct<loss: double, type: string>
child 0, loss: double
child 1, type: string
child 2, 54a34137c8646d0997bc07e349da8fcb: struct<loss: double, type: string>
child 0, loss: double
child 1, type: string
child 3, da6a8299e174b199040c473cb567c220: struct<loss: double, type: string>
child 0, loss: double
child 1, type: string
child 4, deef8f8f44429e3ba49bbe355d21829f: struct<loss: double, type: string>
child 0, loss: double
child 1, type: string
child 5, 297b2c17f185988d94fb04f7041ad501: struct<loss: double, type: string>
child 0, loss: double
child 1, type: string
child 6, 090eab112ec8b43ae4af7eeff59c8381: struct<loss: double, type: string>
child 0, loss: double
child 1, type: string
child 7, c009abe4734a65c9a45bae97be24501b: struct<loss: double, type: string>
child 0, loss: double
child 1, type: string
child 8, 289cb6afebd9883c5a84ed83a6a156de: struct<loss: double, type: string>
child 0, loss: double
child 1, type: string
child 9, b195fc45cbfe1a17df2e156907b23d2f: struct<loss: double, type: string>
child 0, loss: double
child 1, type: string
chi
...
d_public: struct<d_run2: double, run2_mean_loss: double, run2_std_loss: double, gold_mean_loss: double, gold_s (... 63 chars omitted)
child 0, d_run2: double
child 1, run2_mean_loss: double
child 2, run2_std_loss: double
child 3, gold_mean_loss: double
child 4, gold_std_loss: double
child 5, mean_diff: double
child 6, std_diff: double
child 7, n: int64
regular_public: struct<d_run2: double, run2_mean_loss: double, run2_std_loss: double, gold_mean_loss: double, gold_s (... 63 chars omitted)
child 0, d_run2: double
child 1, run2_mean_loss: double
child 2, run2_std_loss: double
child 3, gold_mean_loss: double
child 4, gold_std_loss: double
child 5, mean_diff: double
child 6, std_diff: double
child 7, n: int64
regular_held: struct<d_run2: double, run2_mean_loss: double, run2_std_loss: double, gold_mean_loss: double, gold_s (... 63 chars omitted)
child 0, d_run2: double
child 1, run2_mean_loss: double
child 2, run2_std_loss: double
child 3, gold_mean_loss: double
child 4, gold_std_loss: double
child 5, mean_diff: double
child 6, std_diff: double
child 7, n: int64
mislabeled_held: struct<d_run2: double, run2_mean_loss: double, run2_std_loss: double, gold_mean_loss: double, gold_s (... 63 chars omitted)
child 0, d_run2: double
child 1, run2_mean_loss: double
child 2, run2_std_loss: double
child 3, gold_mean_loss: double
child 4, gold_std_loss: double
child 5, mean_diff: double
child 6, std_diff: double
child 7, n: int64
to
{'regular_public': {'d_run2': Value('float64'), 'run2_mean_loss': Value('float64'), 'run2_std_loss': Value('float64'), 'gold_mean_loss': Value('float64'), 'gold_std_loss': Value('float64'), 'mean_diff': Value('float64'), 'std_diff': Value('float64'), 'n': Value('int64')}, 'regular_held': {'d_run2': Value('float64'), 'run2_mean_loss': Value('float64'), 'run2_std_loss': Value('float64'), 'gold_mean_loss': Value('float64'), 'gold_std_loss': Value('float64'), 'mean_diff': Value('float64'), 'std_diff': Value('float64'), 'n': Value('int64')}, 'mislabeled_public': {'d_run2': Value('float64'), 'run2_mean_loss': Value('float64'), 'run2_std_loss': Value('float64'), 'gold_mean_loss': Value('float64'), 'gold_std_loss': Value('float64'), 'mean_diff': Value('float64'), 'std_diff': Value('float64'), 'n': Value('int64')}, 'mislabeled_held': {'d_run2': Value('float64'), 'run2_mean_loss': Value('float64'), 'run2_std_loss': Value('float64'), 'gold_mean_loss': Value('float64'), 'gold_std_loss': Value('float64'), 'mean_diff': Value('float64'), 'std_diff': Value('float64'), 'n': Value('int64')}, 'control': {'public': {'run2_control_accuracy': Value('float64'), 'gold_control_accuracy': Value('float64'), 'n': Value('int64')}, 'held': {'run2_control_accuracy': Value('float64'), 'gold_control_accuracy': Value('float64'), 'n': 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 478, 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 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
forget: struct<d773a11cfeb4239ce6fb4e90bd904310: struct<loss: double, type: string>, 170f0e8f1617864d446ef89 (... 69906 chars omitted)
child 0, d773a11cfeb4239ce6fb4e90bd904310: struct<loss: double, type: string>
child 0, loss: double
child 1, type: string
child 1, 170f0e8f1617864d446ef89746949811: struct<loss: double, type: string>
child 0, loss: double
child 1, type: string
child 2, 54a34137c8646d0997bc07e349da8fcb: struct<loss: double, type: string>
child 0, loss: double
child 1, type: string
child 3, da6a8299e174b199040c473cb567c220: struct<loss: double, type: string>
child 0, loss: double
child 1, type: string
child 4, deef8f8f44429e3ba49bbe355d21829f: struct<loss: double, type: string>
child 0, loss: double
child 1, type: string
child 5, 297b2c17f185988d94fb04f7041ad501: struct<loss: double, type: string>
child 0, loss: double
child 1, type: string
child 6, 090eab112ec8b43ae4af7eeff59c8381: struct<loss: double, type: string>
child 0, loss: double
child 1, type: string
child 7, c009abe4734a65c9a45bae97be24501b: struct<loss: double, type: string>
child 0, loss: double
child 1, type: string
child 8, 289cb6afebd9883c5a84ed83a6a156de: struct<loss: double, type: string>
child 0, loss: double
child 1, type: string
child 9, b195fc45cbfe1a17df2e156907b23d2f: struct<loss: double, type: string>
child 0, loss: double
child 1, type: string
chi
...
d_public: struct<d_run2: double, run2_mean_loss: double, run2_std_loss: double, gold_mean_loss: double, gold_s (... 63 chars omitted)
child 0, d_run2: double
child 1, run2_mean_loss: double
child 2, run2_std_loss: double
child 3, gold_mean_loss: double
child 4, gold_std_loss: double
child 5, mean_diff: double
child 6, std_diff: double
child 7, n: int64
regular_public: struct<d_run2: double, run2_mean_loss: double, run2_std_loss: double, gold_mean_loss: double, gold_s (... 63 chars omitted)
child 0, d_run2: double
child 1, run2_mean_loss: double
child 2, run2_std_loss: double
child 3, gold_mean_loss: double
child 4, gold_std_loss: double
child 5, mean_diff: double
child 6, std_diff: double
child 7, n: int64
regular_held: struct<d_run2: double, run2_mean_loss: double, run2_std_loss: double, gold_mean_loss: double, gold_s (... 63 chars omitted)
child 0, d_run2: double
child 1, run2_mean_loss: double
child 2, run2_std_loss: double
child 3, gold_mean_loss: double
child 4, gold_std_loss: double
child 5, mean_diff: double
child 6, std_diff: double
child 7, n: int64
mislabeled_held: struct<d_run2: double, run2_mean_loss: double, run2_std_loss: double, gold_mean_loss: double, gold_s (... 63 chars omitted)
child 0, d_run2: double
child 1, run2_mean_loss: double
child 2, run2_std_loss: double
child 3, gold_mean_loss: double
child 4, gold_std_loss: double
child 5, mean_diff: double
child 6, std_diff: double
child 7, n: int64
to
{'regular_public': {'d_run2': Value('float64'), 'run2_mean_loss': Value('float64'), 'run2_std_loss': Value('float64'), 'gold_mean_loss': Value('float64'), 'gold_std_loss': Value('float64'), 'mean_diff': Value('float64'), 'std_diff': Value('float64'), 'n': Value('int64')}, 'regular_held': {'d_run2': Value('float64'), 'run2_mean_loss': Value('float64'), 'run2_std_loss': Value('float64'), 'gold_mean_loss': Value('float64'), 'gold_std_loss': Value('float64'), 'mean_diff': Value('float64'), 'std_diff': Value('float64'), 'n': Value('int64')}, 'mislabeled_public': {'d_run2': Value('float64'), 'run2_mean_loss': Value('float64'), 'run2_std_loss': Value('float64'), 'gold_mean_loss': Value('float64'), 'gold_std_loss': Value('float64'), 'mean_diff': Value('float64'), 'std_diff': Value('float64'), 'n': Value('int64')}, 'mislabeled_held': {'d_run2': Value('float64'), 'run2_mean_loss': Value('float64'), 'run2_std_loss': Value('float64'), 'gold_mean_loss': Value('float64'), 'gold_std_loss': Value('float64'), 'mean_diff': Value('float64'), 'std_diff': Value('float64'), 'n': Value('int64')}, 'control': {'public': {'run2_control_accuracy': Value('float64'), 'gold_control_accuracy': Value('float64'), 'n': Value('int64')}, 'held': {'run2_control_accuracy': Value('float64'), 'gold_control_accuracy': Value('float64'), 'n': 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
- 54