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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
per_run: struct<poc_c0tpvzrc_6M: struct<cond: string, tag: string, map: string, checkpoint: string, step: int (... 2349 chars omitted)
child 0, poc_c0tpvzrc_6M: struct<cond: string, tag: string, map: string, checkpoint: string, step: int64, wandb_run: string, e (... 287 chars omitted)
child 0, cond: string
child 1, tag: string
child 2, map: string
child 3, checkpoint: string
child 4, step: int64
child 5, wandb_run: string
child 6, episodes: int64
child 7, win_rate: double
child 8, n_agents: int64
child 9, n_actions: int64
child 10, n_unit_types: int64
child 11, n_rows_total: int64
child 12, n_rows_alive: int64
child 13, effrank_n_centroid: double
child 14, effrank_centroid_raw: double
child 15, effrank_global_allrows: double
child 16, d_act_maskaware: double
child 17, probe_acc: double
child 18, probe_chance: double
child 1, seed1_5428vmb7: struct<cond: string, tag: string, map: string, checkpoint: string, step: int64, wandb_run: string, e (... 287 chars omitted)
child 0, cond: string
child 1, tag: string
child 2, map: string
child 3, checkpoint: string
child 4, step: int64
child 5, wandb_run: string
child 6, episodes: int64
child 7, win_rate: double
child 8, n_agents: int64
child 9, n_actions: int64
child 10, n_unit_types: int64
child 11, n_rows_total: int64
child 12, n_rows_alive:
...
effrank_n_centroid: struct<mean: double, std: double, n: int64, vals: list<item: double>>
child 0, mean: double
child 1, std: double
child 2, n: int64
child 3, vals: list<item: double>
child 0, item: double
child 1, d_act_maskaware: struct<mean: double, std: double, n: int64, vals: list<item: double>>
child 0, mean: double
child 1, std: double
child 2, n: int64
child 3, vals: list<item: double>
child 0, item: double
child 2, probe_acc: struct<mean: double, std: double, n: int64, vals: list<item: double>>
child 0, mean: double
child 1, std: double
child 2, n: int64
child 3, vals: list<item: double>
child 0, item: double
child 3, win_rate: struct<mean: double, std: double, n: int64, vals: list<item: double>>
child 0, mean: double
child 1, std: double
child 2, n: int64
child 3, vals: list<item: double>
child 0, item: double
individual_seed3: struct<reward: string, seed: string, step: int64, link: string, wandb: string>
child 0, reward: string
child 1, seed: string
child 2, step: int64
child 3, link: string
child 4, wandb: string
shared_seed2: struct<reward: string, seed: string, step: int64, link: string, wandb: string>
child 0, reward: string
child 1, seed: string
child 2, step: int64
child 3, link: string
child 4, wandb: string
to
{'shared_seed2': {'reward': Value('string'), 'seed': Value('string'), 'step': Value('int64'), 'link': Value('string'), 'wandb': Value('string')}, 'individual_seed3': {'reward': Value('string'), 'seed': Value('string'), 'step': Value('int64'), 'link': Value('string'), 'wandb': Value('string')}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, 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 127, 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 478, 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
per_run: struct<poc_c0tpvzrc_6M: struct<cond: string, tag: string, map: string, checkpoint: string, step: int (... 2349 chars omitted)
child 0, poc_c0tpvzrc_6M: struct<cond: string, tag: string, map: string, checkpoint: string, step: int64, wandb_run: string, e (... 287 chars omitted)
child 0, cond: string
child 1, tag: string
child 2, map: string
child 3, checkpoint: string
child 4, step: int64
child 5, wandb_run: string
child 6, episodes: int64
child 7, win_rate: double
child 8, n_agents: int64
child 9, n_actions: int64
child 10, n_unit_types: int64
child 11, n_rows_total: int64
child 12, n_rows_alive: int64
child 13, effrank_n_centroid: double
child 14, effrank_centroid_raw: double
child 15, effrank_global_allrows: double
child 16, d_act_maskaware: double
child 17, probe_acc: double
child 18, probe_chance: double
child 1, seed1_5428vmb7: struct<cond: string, tag: string, map: string, checkpoint: string, step: int64, wandb_run: string, e (... 287 chars omitted)
child 0, cond: string
child 1, tag: string
child 2, map: string
child 3, checkpoint: string
child 4, step: int64
child 5, wandb_run: string
child 6, episodes: int64
child 7, win_rate: double
child 8, n_agents: int64
child 9, n_actions: int64
child 10, n_unit_types: int64
child 11, n_rows_total: int64
child 12, n_rows_alive:
...
effrank_n_centroid: struct<mean: double, std: double, n: int64, vals: list<item: double>>
child 0, mean: double
child 1, std: double
child 2, n: int64
child 3, vals: list<item: double>
child 0, item: double
child 1, d_act_maskaware: struct<mean: double, std: double, n: int64, vals: list<item: double>>
child 0, mean: double
child 1, std: double
child 2, n: int64
child 3, vals: list<item: double>
child 0, item: double
child 2, probe_acc: struct<mean: double, std: double, n: int64, vals: list<item: double>>
child 0, mean: double
child 1, std: double
child 2, n: int64
child 3, vals: list<item: double>
child 0, item: double
child 3, win_rate: struct<mean: double, std: double, n: int64, vals: list<item: double>>
child 0, mean: double
child 1, std: double
child 2, n: int64
child 3, vals: list<item: double>
child 0, item: double
individual_seed3: struct<reward: string, seed: string, step: int64, link: string, wandb: string>
child 0, reward: string
child 1, seed: string
child 2, step: int64
child 3, link: string
child 4, wandb: string
shared_seed2: struct<reward: string, seed: string, step: int64, link: string, wandb: string>
child 0, reward: string
child 1, seed: string
child 2, step: int64
child 3, link: string
child 4, wandb: string
to
{'shared_seed2': {'reward': Value('string'), 'seed': Value('string'), 'step': Value('int64'), 'link': Value('string'), 'wandb': Value('string')}, 'individual_seed3': {'reward': Value('string'), 'seed': Value('string'), 'step': Value('int64'), 'link': Value('string'), 'wandb': 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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