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
_wandb.runtime: int64
ppo_actor/update/dual_clip_ratio/max: int64
ppo_actor/incorrect_seq_len/avg: double
ppo_actor/update/compute_logp/kl_div_taylor/min: int64
ppo_actor/update/behave_approx_kl/min: double
timeperf/train_step: double
ppo_actor/n_valid_tokens: int64
timeperf/eval: double
ppo_actor/update/compute_logp/kl_div_dual/max: double
ppo_actor/update/old_logp/avg: double
ppo_actor/update/version_stats/n_valid_tokens: int64
ppo_actor/update/entropy/max: double
ppo_actor/seq_len/min: int64
ppo_actor/kl_rewards/avg: int64
ppo_actor/update/compute_logp/kl_div_dual/avg: double
ppo_actor/update/n_valid_tokens: int64
ppo_actor/prompt_len/max: int64
ppo_actor/update/vocab_max_logits/min: double
timeperf/rollout: double
ppo_actor/advantages/avg: double
ppo_actor/update/n_tokens: double
ppo_actor/correct_seq_len/max: int64
ppo_actor/update/behave_filtered_ratio/min: int64
ppo_actor/update/dual_clip_ratio/min: int64
ppo_actor/update/compute_logp/prox_logp_gt/min: double
ppo_actor/update/vocab_max_logits/avg: double
ppo_actor/update/dual_clip_ratio/avg: int64
_step: int64
ppo_actor/task_reward/max: int64
ppo_actor/update/version_stats/sample_staleness_theta_min: int64
ppo_actor/eps_clip: double
ppo_actor/update/behave_imp_weight/avg: double
ppo_actor/update/vocab_min_logits/avg: double
ppo_actor/final_reward/min: double
ppo_actor/update/n_valid_tokens_in_loss: double
ppo_actor/update/logp_diff/min: double
ppo_actor/update/compute_logp/kl_div_direct/max: double
ppo_actor/update/new
...
e/importance_weight/max: double
ppo_actor/update/behave_approx_kl/avg: double
ppo_actor/update/new_logp/min: double
ppo_actor/update/approx_kl/min: double
ppo_actor/update/version_stats/sample_staleness_proximal_max: int64
ppo_actor/update/compute_logp/prox_logp_gt/max: int64
ppo_actor/update/entropy/min: double
rollout/accepted: int64
ppo_actor/update/behave_imp_weight/max: double
ppo_actor/no_eos_ratios/min: int64
ppo_actor/update/rs_filtered_fraction: double
ppo_actor/rs_upper: int64
ppo_actor/update/version_stats/sample_staleness_proximal_avg: int64
ppo_actor/update/logp_abs_diff/max: double
disk: struct</: struct<total: string, used: string>>
child 0, /: struct<total: string, used: string>
child 0, total: string
child 1, used: string
program: string
args: list<item: string>
child 0, item: string
cpu_count: int64
writerId: string
gpu_nvidia: list<item: struct<name: string, memoryTotal: string, cudaCores: int64, architecture: string, uuid: s (... 7 chars omitted)
child 0, item: struct<name: string, memoryTotal: string, cudaCores: int64, architecture: string, uuid: string>
child 0, name: string
child 1, memoryTotal: string
child 2, cudaCores: int64
child 3, architecture: string
child 4, uuid: string
gpu_count: int64
cudaVersion: string
gpu: string
root: string
python: string
memory: struct<total: string>
child 0, total: string
host: string
cpu_count_logical: int64
email: string
startedAt: string
executable: string
os: string
to
{'os': Value('string'), 'python': Value('string'), 'startedAt': Value('string'), 'args': List(Value('string')), 'program': Value('string'), 'email': Value('string'), 'root': Value('string'), 'host': Value('string'), 'executable': Value('string'), 'cpu_count': Value('int64'), 'cpu_count_logical': Value('int64'), 'gpu': Value('string'), 'gpu_count': Value('int64'), 'disk': {'/': {'total': Value('string'), 'used': Value('string')}}, 'memory': {'total': Value('string')}, 'gpu_nvidia': List({'name': Value('string'), 'memoryTotal': Value('string'), 'cudaCores': Value('int64'), 'architecture': Value('string'), 'uuid': Value('string')}), 'cudaVersion': Value('string'), 'writerId': 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 483, 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 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
_wandb.runtime: int64
ppo_actor/update/dual_clip_ratio/max: int64
ppo_actor/incorrect_seq_len/avg: double
ppo_actor/update/compute_logp/kl_div_taylor/min: int64
ppo_actor/update/behave_approx_kl/min: double
timeperf/train_step: double
ppo_actor/n_valid_tokens: int64
timeperf/eval: double
ppo_actor/update/compute_logp/kl_div_dual/max: double
ppo_actor/update/old_logp/avg: double
ppo_actor/update/version_stats/n_valid_tokens: int64
ppo_actor/update/entropy/max: double
ppo_actor/seq_len/min: int64
ppo_actor/kl_rewards/avg: int64
ppo_actor/update/compute_logp/kl_div_dual/avg: double
ppo_actor/update/n_valid_tokens: int64
ppo_actor/prompt_len/max: int64
ppo_actor/update/vocab_max_logits/min: double
timeperf/rollout: double
ppo_actor/advantages/avg: double
ppo_actor/update/n_tokens: double
ppo_actor/correct_seq_len/max: int64
ppo_actor/update/behave_filtered_ratio/min: int64
ppo_actor/update/dual_clip_ratio/min: int64
ppo_actor/update/compute_logp/prox_logp_gt/min: double
ppo_actor/update/vocab_max_logits/avg: double
ppo_actor/update/dual_clip_ratio/avg: int64
_step: int64
ppo_actor/task_reward/max: int64
ppo_actor/update/version_stats/sample_staleness_theta_min: int64
ppo_actor/eps_clip: double
ppo_actor/update/behave_imp_weight/avg: double
ppo_actor/update/vocab_min_logits/avg: double
ppo_actor/final_reward/min: double
ppo_actor/update/n_valid_tokens_in_loss: double
ppo_actor/update/logp_diff/min: double
ppo_actor/update/compute_logp/kl_div_direct/max: double
ppo_actor/update/new
...
e/importance_weight/max: double
ppo_actor/update/behave_approx_kl/avg: double
ppo_actor/update/new_logp/min: double
ppo_actor/update/approx_kl/min: double
ppo_actor/update/version_stats/sample_staleness_proximal_max: int64
ppo_actor/update/compute_logp/prox_logp_gt/max: int64
ppo_actor/update/entropy/min: double
rollout/accepted: int64
ppo_actor/update/behave_imp_weight/max: double
ppo_actor/no_eos_ratios/min: int64
ppo_actor/update/rs_filtered_fraction: double
ppo_actor/rs_upper: int64
ppo_actor/update/version_stats/sample_staleness_proximal_avg: int64
ppo_actor/update/logp_abs_diff/max: double
disk: struct</: struct<total: string, used: string>>
child 0, /: struct<total: string, used: string>
child 0, total: string
child 1, used: string
program: string
args: list<item: string>
child 0, item: string
cpu_count: int64
writerId: string
gpu_nvidia: list<item: struct<name: string, memoryTotal: string, cudaCores: int64, architecture: string, uuid: s (... 7 chars omitted)
child 0, item: struct<name: string, memoryTotal: string, cudaCores: int64, architecture: string, uuid: string>
child 0, name: string
child 1, memoryTotal: string
child 2, cudaCores: int64
child 3, architecture: string
child 4, uuid: string
gpu_count: int64
cudaVersion: string
gpu: string
root: string
python: string
memory: struct<total: string>
child 0, total: string
host: string
cpu_count_logical: int64
email: string
startedAt: string
executable: string
os: string
to
{'os': Value('string'), 'python': Value('string'), 'startedAt': Value('string'), 'args': List(Value('string')), 'program': Value('string'), 'email': Value('string'), 'root': Value('string'), 'host': Value('string'), 'executable': Value('string'), 'cpu_count': Value('int64'), 'cpu_count_logical': Value('int64'), 'gpu': Value('string'), 'gpu_count': Value('int64'), 'disk': {'/': {'total': Value('string'), 'used': Value('string')}}, 'memory': {'total': Value('string')}, 'gpu_nvidia': List({'name': Value('string'), 'memoryTotal': Value('string'), 'cudaCores': Value('int64'), 'architecture': Value('string'), 'uuid': Value('string')}), 'cudaVersion': Value('string'), 'writerId': 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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