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
events: list<item: struct<event: string, goal_title: string, initial_messages: list<item: struct<content: st (... 4612 chars omitted)
child 0, item: struct<event: string, goal_title: string, initial_messages: list<item: struct<content: string, role: (... 4600 chars omitted)
child 0, event: string
child 1, goal_title: string
child 2, initial_messages: list<item: struct<content: string, role: string>>
child 0, item: struct<content: string, role: string>
child 0, content: string
child 1, role: string
child 3, model: string
child 4, pair: struct<benchmark_id: string, difficulty: string, end_title: string, human: struct<attempts: int64, l (... 425 chars omitted)
child 0, benchmark_id: string
child 1, difficulty: string
child 2, end_title: string
child 3, human: struct<attempts: int64, losses: int64, shortest_winning_witness: list<item: string>, successful_hops (... 267 chars omitted)
child 0, attempts: int64
child 1, losses: int64
child 2, shortest_winning_witness: list<item: string>
child 0, item: string
child 3, successful_hops: struct<max: int64, mean: double, median: int64, min: int64>
child 0, max: int64
child 1, mean: double
child 2, median: int64
child 3, min: int64
child 4, successful_points: struct<max: int
...
tring
child 3, steps.parquet: struct<bytes: int64, rows: int64, sha256: string>
child 0, bytes: int64
child 1, rows: int64
child 2, sha256: string
completeness: struct<complete: bool, completed_rollouts: int64, expected_models: int64, expected_pairs: int64, exp (... 500 chars omitted)
child 0, complete: bool
child 1, completed_rollouts: int64
child 2, expected_models: int64
child 3, expected_pairs: int64
child 4, expected_rollouts: int64
child 5, incomplete_rollouts: int64
child 6, indexed_rollouts: int64
child 7, missing_cells: list<item: null>
child 0, item: null
child 8, missing_rollouts: int64
child 9, model_count: int64
child 10, model_pair_counts: struct<Qwen/Qwen3.5-0.8B: int64, Qwen/Qwen3.5-27B: int64, Qwen/Qwen3.5-2B: int64, Qwen/Qwen3.5-4B: i (... 29 chars omitted)
child 0, Qwen/Qwen3.5-0.8B: int64
child 1, Qwen/Qwen3.5-27B: int64
child 2, Qwen/Qwen3.5-2B: int64
child 3, Qwen/Qwen3.5-4B: int64
child 4, Qwen/Qwen3.5-9B: int64
child 11, model_rollout_counts: struct<Qwen/Qwen3.5-0.8B: int64, Qwen/Qwen3.5-27B: int64, Qwen/Qwen3.5-2B: int64, Qwen/Qwen3.5-4B: i (... 29 chars omitted)
child 0, Qwen/Qwen3.5-0.8B: int64
child 1, Qwen/Qwen3.5-27B: int64
child 2, Qwen/Qwen3.5-2B: int64
child 3, Qwen/Qwen3.5-4B: int64
child 4, Qwen/Qwen3.5-9B: int64
child 12, pair_count: int64
child 13, samples_per_pair: int64
source_files: list<item: string>
child 0, item: string
to
{'completeness': {'complete': Value('bool'), 'completed_rollouts': Value('int64'), 'expected_models': Value('int64'), 'expected_pairs': Value('int64'), 'expected_rollouts': Value('int64'), 'incomplete_rollouts': Value('int64'), 'indexed_rollouts': Value('int64'), 'missing_cells': List(Value('null')), 'missing_rollouts': Value('int64'), 'model_count': Value('int64'), 'model_pair_counts': {'Qwen/Qwen3.5-0.8B': Value('int64'), 'Qwen/Qwen3.5-27B': Value('int64'), 'Qwen/Qwen3.5-2B': Value('int64'), 'Qwen/Qwen3.5-4B': Value('int64'), 'Qwen/Qwen3.5-9B': Value('int64')}, 'model_rollout_counts': {'Qwen/Qwen3.5-0.8B': Value('int64'), 'Qwen/Qwen3.5-27B': Value('int64'), 'Qwen/Qwen3.5-2B': Value('int64'), 'Qwen/Qwen3.5-4B': Value('int64'), 'Qwen/Qwen3.5-9B': Value('int64')}, 'pair_count': Value('int64'), 'samples_per_pair': Value('int64')}, 'created_at_utc': Value('timestamp[s]'), 'detail': {'count': Value('int64'), 'format': Value('string'), 'path_template': Value('string')}, 'schema_version': Value('string'), 'source_files': List(Value('string')), 'tables': {'pairs.parquet': {'bytes': Value('int64'), 'rows': Value('int64'), 'sha256': Value('string')}, 'rollouts.parquet': {'bytes': Value('int64'), 'rows': Value('int64'), 'sha256': Value('string')}, 'runs.parquet': {'bytes': Value('int64'), 'rows': Value('int64'), 'sha256': Value('string')}, 'steps.parquet': {'bytes': Value('int64'), 'rows': Value('int64'), 'sha256': Value('string')}}, 'web_index': {'format': Value('string'), 'path': 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
events: list<item: struct<event: string, goal_title: string, initial_messages: list<item: struct<content: st (... 4612 chars omitted)
child 0, item: struct<event: string, goal_title: string, initial_messages: list<item: struct<content: string, role: (... 4600 chars omitted)
child 0, event: string
child 1, goal_title: string
child 2, initial_messages: list<item: struct<content: string, role: string>>
child 0, item: struct<content: string, role: string>
child 0, content: string
child 1, role: string
child 3, model: string
child 4, pair: struct<benchmark_id: string, difficulty: string, end_title: string, human: struct<attempts: int64, l (... 425 chars omitted)
child 0, benchmark_id: string
child 1, difficulty: string
child 2, end_title: string
child 3, human: struct<attempts: int64, losses: int64, shortest_winning_witness: list<item: string>, successful_hops (... 267 chars omitted)
child 0, attempts: int64
child 1, losses: int64
child 2, shortest_winning_witness: list<item: string>
child 0, item: string
child 3, successful_hops: struct<max: int64, mean: double, median: int64, min: int64>
child 0, max: int64
child 1, mean: double
child 2, median: int64
child 3, min: int64
child 4, successful_points: struct<max: int
...
tring
child 3, steps.parquet: struct<bytes: int64, rows: int64, sha256: string>
child 0, bytes: int64
child 1, rows: int64
child 2, sha256: string
completeness: struct<complete: bool, completed_rollouts: int64, expected_models: int64, expected_pairs: int64, exp (... 500 chars omitted)
child 0, complete: bool
child 1, completed_rollouts: int64
child 2, expected_models: int64
child 3, expected_pairs: int64
child 4, expected_rollouts: int64
child 5, incomplete_rollouts: int64
child 6, indexed_rollouts: int64
child 7, missing_cells: list<item: null>
child 0, item: null
child 8, missing_rollouts: int64
child 9, model_count: int64
child 10, model_pair_counts: struct<Qwen/Qwen3.5-0.8B: int64, Qwen/Qwen3.5-27B: int64, Qwen/Qwen3.5-2B: int64, Qwen/Qwen3.5-4B: i (... 29 chars omitted)
child 0, Qwen/Qwen3.5-0.8B: int64
child 1, Qwen/Qwen3.5-27B: int64
child 2, Qwen/Qwen3.5-2B: int64
child 3, Qwen/Qwen3.5-4B: int64
child 4, Qwen/Qwen3.5-9B: int64
child 11, model_rollout_counts: struct<Qwen/Qwen3.5-0.8B: int64, Qwen/Qwen3.5-27B: int64, Qwen/Qwen3.5-2B: int64, Qwen/Qwen3.5-4B: i (... 29 chars omitted)
child 0, Qwen/Qwen3.5-0.8B: int64
child 1, Qwen/Qwen3.5-27B: int64
child 2, Qwen/Qwen3.5-2B: int64
child 3, Qwen/Qwen3.5-4B: int64
child 4, Qwen/Qwen3.5-9B: int64
child 12, pair_count: int64
child 13, samples_per_pair: int64
source_files: list<item: string>
child 0, item: string
to
{'completeness': {'complete': Value('bool'), 'completed_rollouts': Value('int64'), 'expected_models': Value('int64'), 'expected_pairs': Value('int64'), 'expected_rollouts': Value('int64'), 'incomplete_rollouts': Value('int64'), 'indexed_rollouts': Value('int64'), 'missing_cells': List(Value('null')), 'missing_rollouts': Value('int64'), 'model_count': Value('int64'), 'model_pair_counts': {'Qwen/Qwen3.5-0.8B': Value('int64'), 'Qwen/Qwen3.5-27B': Value('int64'), 'Qwen/Qwen3.5-2B': Value('int64'), 'Qwen/Qwen3.5-4B': Value('int64'), 'Qwen/Qwen3.5-9B': Value('int64')}, 'model_rollout_counts': {'Qwen/Qwen3.5-0.8B': Value('int64'), 'Qwen/Qwen3.5-27B': Value('int64'), 'Qwen/Qwen3.5-2B': Value('int64'), 'Qwen/Qwen3.5-4B': Value('int64'), 'Qwen/Qwen3.5-9B': Value('int64')}, 'pair_count': Value('int64'), 'samples_per_pair': Value('int64')}, 'created_at_utc': Value('timestamp[s]'), 'detail': {'count': Value('int64'), 'format': Value('string'), 'path_template': Value('string')}, 'schema_version': Value('string'), 'source_files': List(Value('string')), 'tables': {'pairs.parquet': {'bytes': Value('int64'), 'rows': Value('int64'), 'sha256': Value('string')}, 'rollouts.parquet': {'bytes': Value('int64'), 'rows': Value('int64'), 'sha256': Value('string')}, 'runs.parquet': {'bytes': Value('int64'), 'rows': Value('int64'), 'sha256': Value('string')}, 'steps.parquet': {'bytes': Value('int64'), 'rows': Value('int64'), 'sha256': Value('string')}}, 'web_index': {'format': Value('string'), 'path': 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.
WikiGame Qwen3.5 Rollouts
This is a complete export of logged WikiGame navigation rollouts. It contains
pairs.parquet, runs.parquet, rollouts.parquet, and steps.parquet plus
gzip-compressed exact journal details under details/. The static explorer
loads the normalized table summaries from web/index.json.gz and fetches exact
rollout details only when selected.
Completed rollouts: 8000 / 8000.
Human difficulty, attempt counts, wins, win rate, successful-play summaries,
and shortest observed winning paths are retained in pairs.parquet.
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