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
task_id: string
source: string
turns: list<item: struct<turn: int64, assistant: string, parse_ok: bool, done: bool, commands: list<item: s (... 220 chars omitted)
child 0, item: struct<turn: int64, assistant: string, parse_ok: bool, done: bool, commands: list<item: string>, eve (... 208 chars omitted)
child 0, turn: int64
child 1, assistant: string
child 2, parse_ok: bool
child 3, done: bool
child 4, commands: list<item: string>
child 0, item: string
child 5, events: list<item: struct<command: string, exit_code: int64, stdout: string, stderr: string, duration_sec: d (... 74 chars omitted)
child 0, item: struct<command: string, exit_code: int64, stdout: string, stderr: string, duration_sec: double, time (... 62 chars omitted)
child 0, command: string
child 1, exit_code: int64
child 2, stdout: string
child 3, stderr: string
child 4, duration_sec: double
child 5, timeout: bool
child 6, raw_command: string
child 7, blocked: bool
child 8, reason: string
child 6, warnings: list<item: null>
child 0, item: null
rollout_seed: int64
rank: int64
stop_reason: string
verifier_reward: double
reward: double
verifier: struct<command: string, exit_code: int64, stdout: string, stderr: string, duration_sec: double, time (... 10 chars omitted)
child 0, command: string
child 1, exit_code: int64
child 2, stdout: string
child 3, stderr: string
child 4, duration_sec: double
child 5, timeout: bool
command_count: int64
parse_errors: int64
blocked: bool
exception: string
output_dir: string
synced_at_utc: string
no_docker: bool
run_dir: string
train_gpus: string
run_id: string
latest_train_step: struct<event: string, step: int64, loss: double, reward_mean: double, verifier_reward_mean: double, (... 168 chars omitted)
child 0, event: string
child 1, step: int64
child 2, loss: double
child 3, reward_mean: double
child 4, verifier_reward_mean: double
child 5, local_reward_groups: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 6, policy_loss_mean: double
child 7, world_loss_mean: double
child 8, action_tokens_mean: double
child 9, obs_tokens_mean: double
child 10, lr: double
trace_files: struct<echo_live_rollouts_rank0.jsonl: int64, echo_live_rollouts_rank1.jsonl: int64>
child 0, echo_live_rollouts_rank0.jsonl: int64
child 1, echo_live_rollouts_rank1.jsonl: int64
vllm_base_url: string
vllm_gpus: string
trace_rows_total: int64
checkpoints: list<item: string>
child 0, item: string
repo_id: string
train_steps_logged: int64
to
{'repo_id': Value('string'), 'run_id': Value('string'), 'synced_at_utc': Value('string'), 'run_dir': Value('string'), 'output_dir': Value('string'), 'trace_files': {'echo_live_rollouts_rank0.jsonl': Value('int64'), 'echo_live_rollouts_rank1.jsonl': Value('int64')}, 'trace_rows_total': Value('int64'), 'train_steps_logged': Value('int64'), 'latest_train_step': {'event': Value('string'), 'step': Value('int64'), 'loss': Value('float64'), 'reward_mean': Value('float64'), 'verifier_reward_mean': Value('float64'), 'local_reward_groups': List(List(Value('float64'))), 'policy_loss_mean': Value('float64'), 'world_loss_mean': Value('float64'), 'action_tokens_mean': Value('float64'), 'obs_tokens_mean': Value('float64'), 'lr': Value('float64')}, 'checkpoints': List(Value('string')), 'no_docker': Value('bool'), 'vllm_gpus': Value('string'), 'train_gpus': Value('string'), 'vllm_base_url': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2815, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 310, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 130, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
task_id: string
source: string
turns: list<item: struct<turn: int64, assistant: string, parse_ok: bool, done: bool, commands: list<item: s (... 220 chars omitted)
child 0, item: struct<turn: int64, assistant: string, parse_ok: bool, done: bool, commands: list<item: string>, eve (... 208 chars omitted)
child 0, turn: int64
child 1, assistant: string
child 2, parse_ok: bool
child 3, done: bool
child 4, commands: list<item: string>
child 0, item: string
child 5, events: list<item: struct<command: string, exit_code: int64, stdout: string, stderr: string, duration_sec: d (... 74 chars omitted)
child 0, item: struct<command: string, exit_code: int64, stdout: string, stderr: string, duration_sec: double, time (... 62 chars omitted)
child 0, command: string
child 1, exit_code: int64
child 2, stdout: string
child 3, stderr: string
child 4, duration_sec: double
child 5, timeout: bool
child 6, raw_command: string
child 7, blocked: bool
child 8, reason: string
child 6, warnings: list<item: null>
child 0, item: null
rollout_seed: int64
rank: int64
stop_reason: string
verifier_reward: double
reward: double
verifier: struct<command: string, exit_code: int64, stdout: string, stderr: string, duration_sec: double, time (... 10 chars omitted)
child 0, command: string
child 1, exit_code: int64
child 2, stdout: string
child 3, stderr: string
child 4, duration_sec: double
child 5, timeout: bool
command_count: int64
parse_errors: int64
blocked: bool
exception: string
output_dir: string
synced_at_utc: string
no_docker: bool
run_dir: string
train_gpus: string
run_id: string
latest_train_step: struct<event: string, step: int64, loss: double, reward_mean: double, verifier_reward_mean: double, (... 168 chars omitted)
child 0, event: string
child 1, step: int64
child 2, loss: double
child 3, reward_mean: double
child 4, verifier_reward_mean: double
child 5, local_reward_groups: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 6, policy_loss_mean: double
child 7, world_loss_mean: double
child 8, action_tokens_mean: double
child 9, obs_tokens_mean: double
child 10, lr: double
trace_files: struct<echo_live_rollouts_rank0.jsonl: int64, echo_live_rollouts_rank1.jsonl: int64>
child 0, echo_live_rollouts_rank0.jsonl: int64
child 1, echo_live_rollouts_rank1.jsonl: int64
vllm_base_url: string
vllm_gpus: string
trace_rows_total: int64
checkpoints: list<item: string>
child 0, item: string
repo_id: string
train_steps_logged: int64
to
{'repo_id': Value('string'), 'run_id': Value('string'), 'synced_at_utc': Value('string'), 'run_dir': Value('string'), 'output_dir': Value('string'), 'trace_files': {'echo_live_rollouts_rank0.jsonl': Value('int64'), 'echo_live_rollouts_rank1.jsonl': Value('int64')}, 'trace_rows_total': Value('int64'), 'train_steps_logged': Value('int64'), 'latest_train_step': {'event': Value('string'), 'step': Value('int64'), 'loss': Value('float64'), 'reward_mean': Value('float64'), 'verifier_reward_mean': Value('float64'), 'local_reward_groups': List(List(Value('float64'))), 'policy_loss_mean': Value('float64'), 'world_loss_mean': Value('float64'), 'action_tokens_mean': Value('float64'), 'obs_tokens_mean': Value('float64'), 'lr': Value('float64')}, 'checkpoints': List(Value('string')), 'no_docker': Value('bool'), 'vllm_gpus': Value('string'), 'train_gpus': Value('string'), 'vllm_base_url': 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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