Datasets:

---

cstr

/

crispasr-kaggle-progress

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
ts: timestamp[s]
elapsed_s: double
step: string
branch: string
hf_token_ok: bool
size_gb: double
elapsed_in_block_s: double
ninja: string
tu: string
lines: int64
rss_mib: double
free_gb: double
script: string
backend: string
free_gb_after: double
to
{'ts': Value('timestamp[s]'), 'elapsed_s': Value('float64'), 'step': Value('string'), 'script': Value('string'), 'elapsed_in_block_s': Value('float64'), 'ninja': Value('string'), 'tu': Value('string'), 'lines': Value('int64'), 'backend': Value('string'), 'free_gb_after': Value('float64')}
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
              ts: timestamp[s]
              elapsed_s: double
              step: string
              branch: string
              hf_token_ok: bool
              size_gb: double
              elapsed_in_block_s: double
              ninja: string
              tu: string
              lines: int64
              rss_mib: double
              free_gb: double
              script: string
              backend: string
              free_gb_after: double
              to
              {'ts': Value('timestamp[s]'), 'elapsed_s': Value('float64'), 'step': Value('string'), 'script': Value('string'), 'elapsed_in_block_s': Value('float64'), 'ninja': Value('string'), 'tu': Value('string'), 'lines': Value('int64'), 'backend': Value('string'), 'free_gb_after': Value('float64')}
              because column names don't match