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
input: list<item: struct<role: string, content: list<item: struct<type: string, text: string, thinking: str (... 7 chars omitted)
child 0, item: struct<role: string, content: list<item: struct<type: string, text: string, thinking: string>>>
child 0, role: string
child 1, content: list<item: struct<type: string, text: string, thinking: string>>
child 0, item: struct<type: string, text: string, thinking: string>
child 0, type: string
child 1, text: string
child 2, thinking: string
system_prompt: string
response: struct<content: list<item: struct<type: string, thinking: string, text: string>>, usage: struct<cach (... 131 chars omitted)
child 0, content: list<item: struct<type: string, thinking: string, text: string>>
child 0, item: struct<type: string, thinking: string, text: string>
child 0, type: string
child 1, thinking: string
child 2, text: string
child 1, usage: struct<cache_creation_input_tokens: int64, cache_read_input_tokens: int64, input_tokens: int64, outp (... 41 chars omitted)
child 0, cache_creation_input_tokens: int64
child 1, cache_read_input_tokens: int64
child 2, input_tokens: int64
child 3, output_tokens: int64
child 4, server_tool_use: int64
events: list<item: struct<type: string, player: int64, is_retry: bool, generation: struct<reasoning: string, (... 300 chars omitted)
child 0, item: struct<type: string, player: int64, i
...
child 3, latency: double
child 4, extracted_move: string
child 5, timestamp: double
players: list<item: struct<provider: string, model: string, name: string, config: struct<max_tokens: int64, t (... 54 chars omitted)
child 0, item: struct<provider: string, model: string, name: string, config: struct<max_tokens: int64, thinking_typ (... 42 chars omitted)
child 0, provider: string
child 1, model: string
child 2, name: string
child 3, config: struct<max_tokens: int64, thinking_type: string, thinking_budget_tokens: int64>
child 0, max_tokens: int64
child 1, thinking_type: string
child 2, thinking_budget_tokens: int64
variant: string
model_pair_key: string
game_id: string
game_type: string
total_moves: int64
result: struct<type: string, metadata: struct<winner: int64>, final_state: struct<board_state: string, curre (... 38 chars omitted)
child 0, type: string
child 1, metadata: struct<winner: int64>
child 0, winner: int64
child 2, final_state: struct<board_state: string, current_player: int64, turn_number: int64>
child 0, board_state: string
child 1, current_player: int64
child 2, turn_number: int64
move_history: list<item: string>
child 0, item: string
final_player_view: string
duration: double
game_config: struct<num_players: int64, seed: int64, variant: string>
child 0, num_players: int64
child 1, seed: int64
child 2, variant: string
eval_id: string
start_time: double
to
{'game_id': Value('string'), 'eval_id': Value('string'), 'model_pair_key': Value('string'), 'game_type': Value('string'), 'variant': Value('string'), 'game_config': {'num_players': Value('int64'), 'seed': Value('int64'), 'variant': Value('string')}, 'players': List({'provider': Value('string'), 'model': Value('string'), 'name': Value('string'), 'config': {'max_tokens': Value('int64'), 'thinking_type': Value('string'), 'thinking_budget_tokens': Value('int64')}}), 'events': List({'type': Value('string'), 'player': Value('int64'), 'is_retry': Value('bool'), 'generation': {'reasoning': Value('string'), 'output': Value('string'), 'usage': {'input_tokens': Value('int64'), 'input_tokens_details': {'cached_tokens': Value('int64')}, 'output_tokens': Value('int64'), 'output_tokens_details': {'reasoning_tokens': Value('null')}, 'total_tokens': Value('int64'), 'cache_creation_input_tokens': Value('int64')}, 'latency': Value('float64')}, 'extracted_move': Value('string'), 'timestamp': Value('float64')}), 'start_time': Value('float64'), 'final_player_view': Value('string'), 'move_history': List(Value('string')), 'result': {'type': Value('string'), 'metadata': {'winner': Value('int64')}, 'final_state': {'board_state': Value('string'), 'current_player': Value('int64'), 'turn_number': Value('int64')}}, 'duration': Value('float64'), 'total_moves': Value('int64')}
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
input: list<item: struct<role: string, content: list<item: struct<type: string, text: string, thinking: str (... 7 chars omitted)
child 0, item: struct<role: string, content: list<item: struct<type: string, text: string, thinking: string>>>
child 0, role: string
child 1, content: list<item: struct<type: string, text: string, thinking: string>>
child 0, item: struct<type: string, text: string, thinking: string>
child 0, type: string
child 1, text: string
child 2, thinking: string
system_prompt: string
response: struct<content: list<item: struct<type: string, thinking: string, text: string>>, usage: struct<cach (... 131 chars omitted)
child 0, content: list<item: struct<type: string, thinking: string, text: string>>
child 0, item: struct<type: string, thinking: string, text: string>
child 0, type: string
child 1, thinking: string
child 2, text: string
child 1, usage: struct<cache_creation_input_tokens: int64, cache_read_input_tokens: int64, input_tokens: int64, outp (... 41 chars omitted)
child 0, cache_creation_input_tokens: int64
child 1, cache_read_input_tokens: int64
child 2, input_tokens: int64
child 3, output_tokens: int64
child 4, server_tool_use: int64
events: list<item: struct<type: string, player: int64, is_retry: bool, generation: struct<reasoning: string, (... 300 chars omitted)
child 0, item: struct<type: string, player: int64, i
...
child 3, latency: double
child 4, extracted_move: string
child 5, timestamp: double
players: list<item: struct<provider: string, model: string, name: string, config: struct<max_tokens: int64, t (... 54 chars omitted)
child 0, item: struct<provider: string, model: string, name: string, config: struct<max_tokens: int64, thinking_typ (... 42 chars omitted)
child 0, provider: string
child 1, model: string
child 2, name: string
child 3, config: struct<max_tokens: int64, thinking_type: string, thinking_budget_tokens: int64>
child 0, max_tokens: int64
child 1, thinking_type: string
child 2, thinking_budget_tokens: int64
variant: string
model_pair_key: string
game_id: string
game_type: string
total_moves: int64
result: struct<type: string, metadata: struct<winner: int64>, final_state: struct<board_state: string, curre (... 38 chars omitted)
child 0, type: string
child 1, metadata: struct<winner: int64>
child 0, winner: int64
child 2, final_state: struct<board_state: string, current_player: int64, turn_number: int64>
child 0, board_state: string
child 1, current_player: int64
child 2, turn_number: int64
move_history: list<item: string>
child 0, item: string
final_player_view: string
duration: double
game_config: struct<num_players: int64, seed: int64, variant: string>
child 0, num_players: int64
child 1, seed: int64
child 2, variant: string
eval_id: string
start_time: double
to
{'game_id': Value('string'), 'eval_id': Value('string'), 'model_pair_key': Value('string'), 'game_type': Value('string'), 'variant': Value('string'), 'game_config': {'num_players': Value('int64'), 'seed': Value('int64'), 'variant': Value('string')}, 'players': List({'provider': Value('string'), 'model': Value('string'), 'name': Value('string'), 'config': {'max_tokens': Value('int64'), 'thinking_type': Value('string'), 'thinking_budget_tokens': Value('int64')}}), 'events': List({'type': Value('string'), 'player': Value('int64'), 'is_retry': Value('bool'), 'generation': {'reasoning': Value('string'), 'output': Value('string'), 'usage': {'input_tokens': Value('int64'), 'input_tokens_details': {'cached_tokens': Value('int64')}, 'output_tokens': Value('int64'), 'output_tokens_details': {'reasoning_tokens': Value('null')}, 'total_tokens': Value('int64'), 'cache_creation_input_tokens': Value('int64')}, 'latency': Value('float64')}, 'extracted_move': Value('string'), 'timestamp': Value('float64')}), 'start_time': Value('float64'), 'final_player_view': Value('string'), 'move_history': List(Value('string')), 'result': {'type': Value('string'), 'metadata': {'winner': Value('int64')}, 'final_state': {'board_state': Value('string'), 'current_player': Value('int64'), 'turn_number': Value('int64')}}, 'duration': Value('float64'), 'total_moves': 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.
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