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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
aggregates: struct<baseline_basic: struct<R: struct<mean: double, std: double>, R_complex: struct<mean: double, (... 825 chars omitted)
child 0, baseline_basic: struct<R: struct<mean: double, std: double>, R_complex: struct<mean: double, std: double>, R_simple: (... 111 chars omitted)
child 0, R: struct<mean: double, std: double>
child 0, mean: double
child 1, std: double
child 1, R_complex: struct<mean: double, std: double>
child 0, mean: double
child 1, std: double
child 2, R_simple: struct<mean: double, std: double>
child 0, mean: double
child 1, std: double
child 3, U: struct<mean: double, std: double>
child 0, mean: double
child 1, std: double
child 4, V: struct<mean: double, std: double>
child 0, mean: double
child 1, std: double
child 1, baseline_extended: struct<R: struct<mean: double, std: double>, R_complex: struct<mean: double, std: double>, R_simple: (... 111 chars omitted)
child 0, R: struct<mean: double, std: double>
child 0, mean: double
child 1, std: double
child 1, R_complex: struct<mean: double, std: double>
child 0, mean: double
child 1, std: double
child 2, R_simple: struct<mean: double, std: double>
child 0, mean: double
child 1, std: double
child 3, U: struct<mean: double, std: double>
child 0, mean: double
child 1, std
...
string, query_index: int64, raw: string, requeste (... 33 chars omitted)
child 0, complexity: int64
child 1, expression: string
child 2, key: string
child 3, query_index: int64
child 4, raw: string
child 5, requested_complexity: int64
child 6, valid: bool
child 6, seed: int64
child 7, stratified: bool
schema_version: int64
seeds: list<item: int64>
child 0, item: int64
stratified_deltas: struct<R: double, R_complex: double, paired_R: struct<ci95_high: double, ci95_low: double, deltas: l (... 202 chars omitted)
child 0, R: double
child 1, R_complex: double
child 2, paired_R: struct<ci95_high: double, ci95_low: double, deltas: list<item: double>, mean: double, method: string (... 17 chars omitted)
child 0, ci95_high: double
child 1, ci95_low: double
child 2, deltas: list<item: double>
child 0, item: double
child 3, mean: double
child 4, method: string
child 5, n_pairs: int64
child 3, paired_R_complex: struct<ci95_high: double, ci95_low: double, deltas: list<item: double>, mean: double, method: string (... 17 chars omitted)
child 0, ci95_high: double
child 1, ci95_low: double
child 2, deltas: list<item: double>
child 0, item: double
child 3, mean: double
child 4, method: string
child 5, n_pairs: int64
vllm_version: string
torch_version: string
transformers_version: string
to
{'aggregates': {'baseline_basic': {'R': {'mean': Value('float64'), 'std': Value('float64')}, 'R_complex': {'mean': Value('float64'), 'std': Value('float64')}, 'R_simple': {'mean': Value('float64'), 'std': Value('float64')}, 'U': {'mean': Value('float64'), 'std': Value('float64')}, 'V': {'mean': Value('float64'), 'std': Value('float64')}}, 'baseline_extended': {'R': {'mean': Value('float64'), 'std': Value('float64')}, 'R_complex': {'mean': Value('float64'), 'std': Value('float64')}, 'R_simple': {'mean': Value('float64'), 'std': Value('float64')}, 'U': {'mean': Value('float64'), 'std': Value('float64')}, 'V': {'mean': Value('float64'), 'std': Value('float64')}}, 'baseline_full': {'R': {'mean': Value('float64'), 'std': Value('float64')}, 'R_complex': {'mean': Value('float64'), 'std': Value('float64')}, 'R_simple': {'mean': Value('float64'), 'std': Value('float64')}, 'U': {'mean': Value('float64'), 'std': Value('float64')}, 'V': {'mean': Value('float64'), 'std': Value('float64')}}, 'stratified_full': {'R': {'mean': Value('float64'), 'std': Value('float64')}, 'R_complex': {'mean': Value('float64'), 'std': Value('float64')}, 'R_simple': {'mean': Value('float64'), 'std': Value('float64')}, 'U': {'mean': Value('float64'), 'std': Value('float64')}, 'V': {'mean': Value('float64'), 'std': Value('float64')}}}, 'claim_2_status': Value('string'), 'claim_3_status': Value('string'), 'decoding': {'max_new_tokens': Value('int64'), 'temperature': Value('float64'), 'top_p': Value('float64')}, 'hardware': Value('string'), 'model': Value('string'), 'official_code_commit': Value('string'), 'runs': List({'allocation': {'0': Value('int64'), '1': Value('int64'), '2': Value('int64'), '3': Value('int64'), '4': Value('int64'), '5': Value('int64')}, 'ground_truth_complexity_histogram': {'0': Value('int64'), '1': Value('int64'), '2': Value('int64'), '3': Value('int64'), '4': Value('int64'), '5': Value('int64')}, 'ground_truth_count': Value('int64'), 'metrics': {'R': Value('float64'), 'R_complex': Value('float64'), 'R_simple': Value('float64'), 'U': Value('float64'), 'V': Value('float64'), 'n': Value('int64'), 'recovered': Value('int64'), 'unique_in_space': Value('int64'), 'valid': Value('int64')}, 'operator_set': Value('string'), 'records': List({'expression': Value('string'), 'key': Value('null'), 'query_index': Value('int64'), 'raw': Value('string'), 'requested_complexity': Value('int64'), 'valid': Value('bool')}), 'seed': Value('int64'), 'stratified': Value('bool')}), 'schema_version': Value('int64'), 'seeds': List(Value('int64')), 'stratified_deltas': {'R': Value('float64'), 'R_complex': Value('float64')}, 'torch_version': Value('string'), 'transformers_version': Value('string')}
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 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 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
aggregates: struct<baseline_basic: struct<R: struct<mean: double, std: double>, R_complex: struct<mean: double, (... 825 chars omitted)
child 0, baseline_basic: struct<R: struct<mean: double, std: double>, R_complex: struct<mean: double, std: double>, R_simple: (... 111 chars omitted)
child 0, R: struct<mean: double, std: double>
child 0, mean: double
child 1, std: double
child 1, R_complex: struct<mean: double, std: double>
child 0, mean: double
child 1, std: double
child 2, R_simple: struct<mean: double, std: double>
child 0, mean: double
child 1, std: double
child 3, U: struct<mean: double, std: double>
child 0, mean: double
child 1, std: double
child 4, V: struct<mean: double, std: double>
child 0, mean: double
child 1, std: double
child 1, baseline_extended: struct<R: struct<mean: double, std: double>, R_complex: struct<mean: double, std: double>, R_simple: (... 111 chars omitted)
child 0, R: struct<mean: double, std: double>
child 0, mean: double
child 1, std: double
child 1, R_complex: struct<mean: double, std: double>
child 0, mean: double
child 1, std: double
child 2, R_simple: struct<mean: double, std: double>
child 0, mean: double
child 1, std: double
child 3, U: struct<mean: double, std: double>
child 0, mean: double
child 1, std
...
string, query_index: int64, raw: string, requeste (... 33 chars omitted)
child 0, complexity: int64
child 1, expression: string
child 2, key: string
child 3, query_index: int64
child 4, raw: string
child 5, requested_complexity: int64
child 6, valid: bool
child 6, seed: int64
child 7, stratified: bool
schema_version: int64
seeds: list<item: int64>
child 0, item: int64
stratified_deltas: struct<R: double, R_complex: double, paired_R: struct<ci95_high: double, ci95_low: double, deltas: l (... 202 chars omitted)
child 0, R: double
child 1, R_complex: double
child 2, paired_R: struct<ci95_high: double, ci95_low: double, deltas: list<item: double>, mean: double, method: string (... 17 chars omitted)
child 0, ci95_high: double
child 1, ci95_low: double
child 2, deltas: list<item: double>
child 0, item: double
child 3, mean: double
child 4, method: string
child 5, n_pairs: int64
child 3, paired_R_complex: struct<ci95_high: double, ci95_low: double, deltas: list<item: double>, mean: double, method: string (... 17 chars omitted)
child 0, ci95_high: double
child 1, ci95_low: double
child 2, deltas: list<item: double>
child 0, item: double
child 3, mean: double
child 4, method: string
child 5, n_pairs: int64
vllm_version: string
torch_version: string
transformers_version: string
to
{'aggregates': {'baseline_basic': {'R': {'mean': Value('float64'), 'std': Value('float64')}, 'R_complex': {'mean': Value('float64'), 'std': Value('float64')}, 'R_simple': {'mean': Value('float64'), 'std': Value('float64')}, 'U': {'mean': Value('float64'), 'std': Value('float64')}, 'V': {'mean': Value('float64'), 'std': Value('float64')}}, 'baseline_extended': {'R': {'mean': Value('float64'), 'std': Value('float64')}, 'R_complex': {'mean': Value('float64'), 'std': Value('float64')}, 'R_simple': {'mean': Value('float64'), 'std': Value('float64')}, 'U': {'mean': Value('float64'), 'std': Value('float64')}, 'V': {'mean': Value('float64'), 'std': Value('float64')}}, 'baseline_full': {'R': {'mean': Value('float64'), 'std': Value('float64')}, 'R_complex': {'mean': Value('float64'), 'std': Value('float64')}, 'R_simple': {'mean': Value('float64'), 'std': Value('float64')}, 'U': {'mean': Value('float64'), 'std': Value('float64')}, 'V': {'mean': Value('float64'), 'std': Value('float64')}}, 'stratified_full': {'R': {'mean': Value('float64'), 'std': Value('float64')}, 'R_complex': {'mean': Value('float64'), 'std': Value('float64')}, 'R_simple': {'mean': Value('float64'), 'std': Value('float64')}, 'U': {'mean': Value('float64'), 'std': Value('float64')}, 'V': {'mean': Value('float64'), 'std': Value('float64')}}}, 'claim_2_status': Value('string'), 'claim_3_status': Value('string'), 'decoding': {'max_new_tokens': Value('int64'), 'temperature': Value('float64'), 'top_p': Value('float64')}, 'hardware': Value('string'), 'model': Value('string'), 'official_code_commit': Value('string'), 'runs': List({'allocation': {'0': Value('int64'), '1': Value('int64'), '2': Value('int64'), '3': Value('int64'), '4': Value('int64'), '5': Value('int64')}, 'ground_truth_complexity_histogram': {'0': Value('int64'), '1': Value('int64'), '2': Value('int64'), '3': Value('int64'), '4': Value('int64'), '5': Value('int64')}, 'ground_truth_count': Value('int64'), 'metrics': {'R': Value('float64'), 'R_complex': Value('float64'), 'R_simple': Value('float64'), 'U': Value('float64'), 'V': Value('float64'), 'n': Value('int64'), 'recovered': Value('int64'), 'unique_in_space': Value('int64'), 'valid': Value('int64')}, 'operator_set': Value('string'), 'records': List({'expression': Value('string'), 'key': Value('null'), 'query_index': Value('int64'), 'raw': Value('string'), 'requested_complexity': Value('int64'), 'valid': Value('bool')}), 'seed': Value('int64'), 'stratified': Value('bool')}), 'schema_version': Value('int64'), 'seeds': List(Value('int64')), 'stratified_deltas': {'R': Value('float64'), 'R_complex': Value('float64')}, 'torch_version': Value('string'), 'transformers_version': Value('string')}
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