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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
ds: string
db: string
golds: list<item: string>
child 0, item: string
pairs: list<item: struct<pair_id: int64, source: string, gold_sql: string, neighbor_sql: string>>
child 0, item: struct<pair_id: int64, source: string, gold_sql: string, neighbor_sql: string>
child 0, pair_id: int64
child 1, source: string
child 2, gold_sql: string
child 3, neighbor_sql: string
excluded_eval_identities: list<item: string>
child 0, item: string
dropped_eval_identical_neighbors: int64
counts: struct<golds: int64, grammar: int64, llm: int64>
child 0, golds: int64
child 1, grammar: int64
child 2, llm: int64
sources: struct<gold_probe: struct<path: string>, llm_files: list<item: string>, tscore_neighbors_sha256: str (... 4 chars omitted)
child 0, gold_probe: struct<path: string>
child 0, path: string
child 1, llm_files: list<item: string>
child 0, item: string
child 2, tscore_neighbors_sha256: string
rule: string
instances: list<item: struct<unit: string, valid: bool, reasons: list<item: null>, rows_added: int64, compact_r (... 54 chars omitted)
child 0, item: struct<unit: string, valid: bool, reasons: list<item: null>, rows_added: int64, compact_rows_missing (... 42 chars omitted)
child 0, unit: string
child 1, valid: bool
child 2, reasons: list<item: null>
child 0, item: null
child 3, rows_added: int64
child 4, compact_rows_missing: int64
child 5, new_integrity_failures: struct<>
units: list<item: string>
child 0, item: string
compact_sha256: string
program: string
summary: struct<db: string, n_ok: int64, n_fail: int64, wall_s: double, pool_sqls: int64, pool_skipped: int64 (... 85 chars omitted)
child 0, db: string
child 1, n_ok: int64
child 2, n_fail: int64
child 3, wall_s: double
child 4, pool_sqls: int64
child 5, pool_skipped: int64
child 6, pool_values: int64
child 7, errors: struct<>
child 8, rows_added: struct<>
child 9, rows_skipped: struct<>
valid_units: list<item: string>
child 0, item: string
invalid_units: list<item: null>
child 0, item: null
validity: struct<valid: int64, invalid: int64, reasons: struct<>, invalid_examples: list<item: null>>
child 0, valid: int64
child 1, invalid: int64
child 2, reasons: struct<>
child 3, invalid_examples: list<item: null>
child 0, item: null
returncode: int64
wall_s: double
compact_copies_dropped: int64
stderr_tail: string
to
{'ds': Value('string'), 'db': Value('string'), 'returncode': Value('int64'), 'wall_s': Value('float64'), 'summary': {'db': Value('string'), 'n_ok': Value('int64'), 'n_fail': Value('int64'), 'wall_s': Value('float64'), 'pool_sqls': Value('int64'), 'pool_skipped': Value('int64'), 'pool_values': Value('int64'), 'errors': {}, 'rows_added': {}, 'rows_skipped': {}}, 'stderr_tail': Value('string'), 'units': List(Value('string')), 'compact_copies_dropped': Value('int64'), 'compact_sha256': Value('string'), 'program': Value('string'), 'validity': {'valid': Value('int64'), 'invalid': Value('int64'), 'reasons': {}, 'invalid_examples': List(Value('null'))}, 'valid_units': List(Value('string')), 'invalid_units': List(Value('null')), 'instances': List({'unit': Value('string'), 'valid': Value('bool'), 'reasons': List(Value('null')), 'rows_added': Value('int64'), 'compact_rows_missing': Value('int64'), 'new_integrity_failures': {}})}
because column names don't match
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 544, 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 3052, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
ds: string
db: string
golds: list<item: string>
child 0, item: string
pairs: list<item: struct<pair_id: int64, source: string, gold_sql: string, neighbor_sql: string>>
child 0, item: struct<pair_id: int64, source: string, gold_sql: string, neighbor_sql: string>
child 0, pair_id: int64
child 1, source: string
child 2, gold_sql: string
child 3, neighbor_sql: string
excluded_eval_identities: list<item: string>
child 0, item: string
dropped_eval_identical_neighbors: int64
counts: struct<golds: int64, grammar: int64, llm: int64>
child 0, golds: int64
child 1, grammar: int64
child 2, llm: int64
sources: struct<gold_probe: struct<path: string>, llm_files: list<item: string>, tscore_neighbors_sha256: str (... 4 chars omitted)
child 0, gold_probe: struct<path: string>
child 0, path: string
child 1, llm_files: list<item: string>
child 0, item: string
child 2, tscore_neighbors_sha256: string
rule: string
instances: list<item: struct<unit: string, valid: bool, reasons: list<item: null>, rows_added: int64, compact_r (... 54 chars omitted)
child 0, item: struct<unit: string, valid: bool, reasons: list<item: null>, rows_added: int64, compact_rows_missing (... 42 chars omitted)
child 0, unit: string
child 1, valid: bool
child 2, reasons: list<item: null>
child 0, item: null
child 3, rows_added: int64
child 4, compact_rows_missing: int64
child 5, new_integrity_failures: struct<>
units: list<item: string>
child 0, item: string
compact_sha256: string
program: string
summary: struct<db: string, n_ok: int64, n_fail: int64, wall_s: double, pool_sqls: int64, pool_skipped: int64 (... 85 chars omitted)
child 0, db: string
child 1, n_ok: int64
child 2, n_fail: int64
child 3, wall_s: double
child 4, pool_sqls: int64
child 5, pool_skipped: int64
child 6, pool_values: int64
child 7, errors: struct<>
child 8, rows_added: struct<>
child 9, rows_skipped: struct<>
valid_units: list<item: string>
child 0, item: string
invalid_units: list<item: null>
child 0, item: null
validity: struct<valid: int64, invalid: int64, reasons: struct<>, invalid_examples: list<item: null>>
child 0, valid: int64
child 1, invalid: int64
child 2, reasons: struct<>
child 3, invalid_examples: list<item: null>
child 0, item: null
returncode: int64
wall_s: double
compact_copies_dropped: int64
stderr_tail: string
to
{'ds': Value('string'), 'db': Value('string'), 'returncode': Value('int64'), 'wall_s': Value('float64'), 'summary': {'db': Value('string'), 'n_ok': Value('int64'), 'n_fail': Value('int64'), 'wall_s': Value('float64'), 'pool_sqls': Value('int64'), 'pool_skipped': Value('int64'), 'pool_values': Value('int64'), 'errors': {}, 'rows_added': {}, 'rows_skipped': {}}, 'stderr_tail': Value('string'), 'units': List(Value('string')), 'compact_copies_dropped': Value('int64'), 'compact_sha256': Value('string'), 'program': Value('string'), 'validity': {'valid': Value('int64'), 'invalid': Value('int64'), 'reasons': {}, 'invalid_examples': List(Value('null'))}, 'valid_units': List(Value('string')), 'invalid_units': List(Value('null')), 'instances': List({'unit': Value('string'), 'valid': Value('bool'), 'reasons': List(Value('null')), 'rows_added': Value('int64'), 'compact_rows_missing': Value('int64'), 'new_integrity_failures': {}})}
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.
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