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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
trait_id: string
index: int64
name: string
text: string
config: struct<seed: int64, constitution: string, n_traits: int64, scenarios_per_trait: int64, scenarios_per (... 560 chars omitted)
child 0, seed: int64
child 1, constitution: string
child 2, n_traits: int64
child 3, scenarios_per_trait: int64
child 4, scenarios_per_call: int64
child 5, output_dir: string
child 6, hf_repo: string
child 7, hf_repo_smoke: string
child 8, hf_private: bool
child 9, workers: int64
child 10, budget_usd: double
child 11, defaults: struct<temperature: double, max_tokens: int64>
child 0, temperature: double
child 1, max_tokens: int64
child 12, models: struct<scenarios: struct<model: string, temperature: double, max_tokens: int64>, draft: struct<model (... 265 chars omitted)
child 0, scenarios: struct<model: string, temperature: double, max_tokens: int64>
child 0, model: string
child 1, temperature: double
child 2, max_tokens: int64
child 1, draft: struct<model: string, temperature: double, max_tokens: int64>
child 0, model: string
child 1, temperature: double
child 2, max_tokens: int64
child 2, refine: struct<model: string, temperature: double, max_tokens: int64>
child 0, model: string
child 1, temperature: double
child 2, max_tokens: int64
child 3, respond: struct<model: string, temperature: double, max_tokens: int64>
child 0, model: s
...
_tokens: int64, usd: double>
child 0, calls: int64
child 1, prompt_tokens: int64
child 2, completion_tokens: int64
child 3, usd: double
child 1, draft: struct<calls: int64, prompt_tokens: int64, completion_tokens: int64, usd: double>
child 0, calls: int64
child 1, prompt_tokens: int64
child 2, completion_tokens: int64
child 3, usd: double
child 2, refine: struct<calls: int64, prompt_tokens: int64, completion_tokens: int64, usd: double>
child 0, calls: int64
child 1, prompt_tokens: int64
child 2, completion_tokens: int64
child 3, usd: double
child 3, respond: struct<calls: int64, prompt_tokens: int64, completion_tokens: int64, usd: double>
child 0, calls: int64
child 1, prompt_tokens: int64
child 2, completion_tokens: int64
child 3, usd: double
child 4, rewrite: struct<calls: int64, prompt_tokens: int64, completion_tokens: int64, usd: double>
child 0, calls: int64
child 1, prompt_tokens: int64
child 2, completion_tokens: int64
child 3, usd: double
child 2, total_usd: double
hf_repo: string
stage_seconds: struct<scenarios: double, draft: double, refine: double, respond: double, rewrite: double>
child 0, scenarios: double
child 1, draft: double
child 2, refine: double
child 3, respond: double
child 4, rewrite: double
run_dir: string
workers: int64
to
{'run_id': Value('string'), 'git_sha': Value('string'), 'smoke': Value('bool'), 'constitution_sha256': Value('string'), 'config': {'seed': Value('int64'), 'constitution': Value('string'), 'n_traits': Value('int64'), 'scenarios_per_trait': Value('int64'), 'scenarios_per_call': Value('int64'), 'output_dir': Value('string'), 'hf_repo': Value('string'), 'hf_repo_smoke': Value('string'), 'hf_private': Value('bool'), 'workers': Value('int64'), 'budget_usd': Value('float64'), 'defaults': {'temperature': Value('float64'), 'max_tokens': Value('int64')}, 'models': {'scenarios': {'model': Value('string'), 'temperature': Value('float64'), 'max_tokens': Value('int64')}, 'draft': {'model': Value('string'), 'temperature': Value('float64'), 'max_tokens': Value('int64')}, 'refine': {'model': Value('string'), 'temperature': Value('float64'), 'max_tokens': Value('int64')}, 'respond': {'model': Value('string'), 'temperature': Value('float64'), 'max_tokens': Value('int64')}, 'rewrite': {'model': Value('string'), 'temperature': Value('float64'), 'max_tokens': Value('int64')}}}, 'effective': {'n_traits': Value('int64'), 'scenarios_per_trait': Value('int64'), 'scenarios_per_call': Value('int64')}, 'counts': {'traits': Value('int64'), 'scenarios': Value('int64'), 'drafts': Value('int64'), 'refined': Value('int64'), 'responses': Value('int64'), 'final': Value('int64'), 'sft': Value('int64')}, 'usage': {'by_model': {'anthropic/claude-haiku-4.5': {'calls': Value('int64'), 'prompt_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'usd': Value('float64')}, 'anthropic/claude-sonnet-5': {'calls': Value('int64'), 'prompt_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'usd': Value('float64')}}, 'by_stage': {'scenarios': {'calls': Value('int64'), 'prompt_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'usd': Value('float64')}, 'draft': {'calls': Value('int64'), 'prompt_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'usd': Value('float64')}, 'refine': {'calls': Value('int64'), 'prompt_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'usd': Value('float64')}, 'respond': {'calls': Value('int64'), 'prompt_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'usd': Value('float64')}, 'rewrite': {'calls': Value('int64'), 'prompt_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'usd': Value('float64')}}, 'total_usd': Value('float64')}, 'wall_clock_s': Value('float64'), 'stage_seconds': {'scenarios': Value('float64'), 'draft': Value('float64'), 'refine': Value('float64'), 'respond': Value('float64'), 'rewrite': Value('float64')}, 'workers': Value('int64'), 'hf_repo': Value('string'), 'run_dir': 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
trait_id: string
index: int64
name: string
text: string
config: struct<seed: int64, constitution: string, n_traits: int64, scenarios_per_trait: int64, scenarios_per (... 560 chars omitted)
child 0, seed: int64
child 1, constitution: string
child 2, n_traits: int64
child 3, scenarios_per_trait: int64
child 4, scenarios_per_call: int64
child 5, output_dir: string
child 6, hf_repo: string
child 7, hf_repo_smoke: string
child 8, hf_private: bool
child 9, workers: int64
child 10, budget_usd: double
child 11, defaults: struct<temperature: double, max_tokens: int64>
child 0, temperature: double
child 1, max_tokens: int64
child 12, models: struct<scenarios: struct<model: string, temperature: double, max_tokens: int64>, draft: struct<model (... 265 chars omitted)
child 0, scenarios: struct<model: string, temperature: double, max_tokens: int64>
child 0, model: string
child 1, temperature: double
child 2, max_tokens: int64
child 1, draft: struct<model: string, temperature: double, max_tokens: int64>
child 0, model: string
child 1, temperature: double
child 2, max_tokens: int64
child 2, refine: struct<model: string, temperature: double, max_tokens: int64>
child 0, model: string
child 1, temperature: double
child 2, max_tokens: int64
child 3, respond: struct<model: string, temperature: double, max_tokens: int64>
child 0, model: s
...
_tokens: int64, usd: double>
child 0, calls: int64
child 1, prompt_tokens: int64
child 2, completion_tokens: int64
child 3, usd: double
child 1, draft: struct<calls: int64, prompt_tokens: int64, completion_tokens: int64, usd: double>
child 0, calls: int64
child 1, prompt_tokens: int64
child 2, completion_tokens: int64
child 3, usd: double
child 2, refine: struct<calls: int64, prompt_tokens: int64, completion_tokens: int64, usd: double>
child 0, calls: int64
child 1, prompt_tokens: int64
child 2, completion_tokens: int64
child 3, usd: double
child 3, respond: struct<calls: int64, prompt_tokens: int64, completion_tokens: int64, usd: double>
child 0, calls: int64
child 1, prompt_tokens: int64
child 2, completion_tokens: int64
child 3, usd: double
child 4, rewrite: struct<calls: int64, prompt_tokens: int64, completion_tokens: int64, usd: double>
child 0, calls: int64
child 1, prompt_tokens: int64
child 2, completion_tokens: int64
child 3, usd: double
child 2, total_usd: double
hf_repo: string
stage_seconds: struct<scenarios: double, draft: double, refine: double, respond: double, rewrite: double>
child 0, scenarios: double
child 1, draft: double
child 2, refine: double
child 3, respond: double
child 4, rewrite: double
run_dir: string
workers: int64
to
{'run_id': Value('string'), 'git_sha': Value('string'), 'smoke': Value('bool'), 'constitution_sha256': Value('string'), 'config': {'seed': Value('int64'), 'constitution': Value('string'), 'n_traits': Value('int64'), 'scenarios_per_trait': Value('int64'), 'scenarios_per_call': Value('int64'), 'output_dir': Value('string'), 'hf_repo': Value('string'), 'hf_repo_smoke': Value('string'), 'hf_private': Value('bool'), 'workers': Value('int64'), 'budget_usd': Value('float64'), 'defaults': {'temperature': Value('float64'), 'max_tokens': Value('int64')}, 'models': {'scenarios': {'model': Value('string'), 'temperature': Value('float64'), 'max_tokens': Value('int64')}, 'draft': {'model': Value('string'), 'temperature': Value('float64'), 'max_tokens': Value('int64')}, 'refine': {'model': Value('string'), 'temperature': Value('float64'), 'max_tokens': Value('int64')}, 'respond': {'model': Value('string'), 'temperature': Value('float64'), 'max_tokens': Value('int64')}, 'rewrite': {'model': Value('string'), 'temperature': Value('float64'), 'max_tokens': Value('int64')}}}, 'effective': {'n_traits': Value('int64'), 'scenarios_per_trait': Value('int64'), 'scenarios_per_call': Value('int64')}, 'counts': {'traits': Value('int64'), 'scenarios': Value('int64'), 'drafts': Value('int64'), 'refined': Value('int64'), 'responses': Value('int64'), 'final': Value('int64'), 'sft': Value('int64')}, 'usage': {'by_model': {'anthropic/claude-haiku-4.5': {'calls': Value('int64'), 'prompt_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'usd': Value('float64')}, 'anthropic/claude-sonnet-5': {'calls': Value('int64'), 'prompt_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'usd': Value('float64')}}, 'by_stage': {'scenarios': {'calls': Value('int64'), 'prompt_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'usd': Value('float64')}, 'draft': {'calls': Value('int64'), 'prompt_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'usd': Value('float64')}, 'refine': {'calls': Value('int64'), 'prompt_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'usd': Value('float64')}, 'respond': {'calls': Value('int64'), 'prompt_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'usd': Value('float64')}, 'rewrite': {'calls': Value('int64'), 'prompt_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'usd': Value('float64')}}, 'total_usd': Value('float64')}, 'wall_clock_s': Value('float64'), 'stage_seconds': {'scenarios': Value('float64'), 'draft': Value('float64'), 'refine': Value('float64'), 'respond': Value('float64'), 'rewrite': Value('float64')}, 'workers': Value('int64'), 'hf_repo': Value('string'), 'run_dir': Value('string')}
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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