Datasets:

---

pliny-the-prompter

/

g0dm0d3

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
type: string
timestamp: int64
session_id: string
mode: string
model: string
winner_score: int64
total_duration_ms: int64
models_queried: int64
pipeline: struct<autotune: bool, autotune_context: null, autotune_confidence: null, parseltongue: bool, improv (... 32 chars omitted)
  child 0, autotune: bool
  child 1, autotune_context: null
  child 2, autotune_confidence: null
  child 3, parseltongue: bool
  child 4, improve_mode: bool
  child 5, liquid_mode: bool
models_succeeded: int64
tier: string
winner_model: string
to
{'type': Value('string'), 'timestamp': Value('int64'), 'session_id': Value('string'), 'mode': Value('string'), 'tier': Value('string'), 'models_queried': Value('int64'), 'models_succeeded': Value('int64'), 'winner_model': Value('string'), 'winner_score': Value('int64'), 'total_duration_ms': Value('int64'), 'pipeline': {'autotune': Value('bool'), 'autotune_context': Value('null'), 'autotune_confidence': Value('null'), 'parseltongue': Value('bool'), 'improve_mode': Value('bool'), 'liquid_mode': Value('bool')}}
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 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, 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 494, 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 265, 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
              type: string
              timestamp: int64
              session_id: string
              mode: string
              model: string
              winner_score: int64
              total_duration_ms: int64
              models_queried: int64
              pipeline: struct<autotune: bool, autotune_context: null, autotune_confidence: null, parseltongue: bool, improv (... 32 chars omitted)
                child 0, autotune: bool
                child 1, autotune_context: null
                child 2, autotune_confidence: null
                child 3, parseltongue: bool
                child 4, improve_mode: bool
                child 5, liquid_mode: bool
              models_succeeded: int64
              tier: string
              winner_model: string
              to
              {'type': Value('string'), 'timestamp': Value('int64'), 'session_id': Value('string'), 'mode': Value('string'), 'tier': Value('string'), 'models_queried': Value('int64'), 'models_succeeded': Value('int64'), 'winner_model': Value('string'), 'winner_score': Value('int64'), 'total_duration_ms': Value('int64'), 'pipeline': {'autotune': Value('bool'), 'autotune_context': Value('null'), 'autotune_confidence': Value('null'), 'parseltongue': Value('bool'), 'improve_mode': Value('bool'), 'liquid_mode': Value('bool')}}
              because column names don't match