Datasets:

---

farguney

/

psn-robotics-benchmark-data

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
agent: string
run_id: string
job_id: string
wall_time: double
timestamp: double
step: int64
env: string
type: string
params: int64
episode_return: double
episode_len: int64
eval_return_mean: double
eval_return_std: double
wm_total: double
wm_obs: double
wm_rew: double
wm_kl: double
actor_loss: double
critic_loss: double
imagined_return: double
to
{'agent': Value('string'), 'run_id': Value('string'), 'job_id': Value('string'), 'wall_time': Value('float64'), 'timestamp': Value('float64'), 'step': Value('int64'), 'env': Value('string'), 'type': Value('string'), 'params': Value('int64')}
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 2674, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2208, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2232, 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 483, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, 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 260, 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 120, 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 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              agent: string
              run_id: string
              job_id: string
              wall_time: double
              timestamp: double
              step: int64
              env: string
              type: string
              params: int64
              episode_return: double
              episode_len: int64
              eval_return_mean: double
              eval_return_std: double
              wm_total: double
              wm_obs: double
              wm_rew: double
              wm_kl: double
              actor_loss: double
              critic_loss: double
              imagined_return: double
              to
              {'agent': Value('string'), 'run_id': Value('string'), 'job_id': Value('string'), 'wall_time': Value('float64'), 'timestamp': Value('float64'), 'step': Value('int64'), 'env': Value('string'), 'type': Value('string'), 'params': Value('int64')}
              because column names don't match