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JulianHJR
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v11

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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
n_test: int64
gen_max: int64
active_threshold: int64
samples: list<item: struct<prompt: string, behavior_count: int64, baseline_text: string, problem: string>>
  child 0, item: struct<prompt: string, behavior_count: int64, baseline_text: string, problem: string>
      child 0, prompt: string
      child 1, behavior_count: int64
      child 2, baseline_text: string
      child 3, problem: string
n_cots: int64
total_triggers: int64
per_layer_sizes: struct<8: struct<n: int64, h: int64, n_pos: int64, n_neg: int64, n_experts: int64>, 10: struct<n: in (... 1387 chars omitted)
  child 0, 8: struct<n: int64, h: int64, n_pos: int64, n_neg: int64, n_experts: int64>
      child 0, n: int64
      child 1, h: int64
      child 2, n_pos: int64
      child 3, n_neg: int64
      child 4, n_experts: int64
  child 1, 10: struct<n: int64, h: int64, n_pos: int64, n_neg: int64, n_experts: int64>
      child 0, n: int64
      child 1, h: int64
      child 2, n_pos: int64
      child 3, n_neg: int64
      child 4, n_experts: int64
  child 2, 12: struct<n: int64, h: int64, n_pos: int64, n_neg: int64, n_experts: int64>
      child 0, n: int64
      child 1, h: int64
      child 2, n_pos: int64
      child 3, n_neg: int64
      child 4, n_experts: int64
  child 3, 14: struct<n: int64, h: int64, n_pos: int64, n_neg: int64, n_experts: int64>
      child 0, n: int64
      child 1, h: int64
      child 2, n_pos: int64
      child 3, n_neg: int64
      child 4, n_experts: int64
  child 4, 16: struct<n: int
...
s: int64
      child 3, n_neg: int64
      child 4, n_experts: int64
  child 13, 34: struct<n: int64, h: int64, n_pos: int64, n_neg: int64, n_experts: int64>
      child 0, n: int64
      child 1, h: int64
      child 2, n_pos: int64
      child 3, n_neg: int64
      child 4, n_experts: int64
  child 14, 36: struct<n: int64, h: int64, n_pos: int64, n_neg: int64, n_experts: int64>
      child 0, n: int64
      child 1, h: int64
      child 2, n_pos: int64
      child 3, n_neg: int64
      child 4, n_experts: int64
  child 15, 38: struct<n: int64, h: int64, n_pos: int64, n_neg: int64, n_experts: int64>
      child 0, n: int64
      child 1, h: int64
      child 2, n_pos: int64
      child 3, n_neg: int64
      child 4, n_experts: int64
  child 16, 40: struct<n: int64, h: int64, n_pos: int64, n_neg: int64, n_experts: int64>
      child 0, n: int64
      child 1, h: int64
      child 2, n_pos: int64
      child 3, n_neg: int64
      child 4, n_experts: int64
  child 17, 42: struct<n: int64, h: int64, n_pos: int64, n_neg: int64, n_experts: int64>
      child 0, n: int64
      child 1, h: int64
      child 2, n_pos: int64
      child 3, n_neg: int64
      child 4, n_experts: int64
  child 18, 44: struct<n: int64, h: int64, n_pos: int64, n_neg: int64, n_experts: int64>
      child 0, n: int64
      child 1, h: int64
      child 2, n_pos: int64
      child 3, n_neg: int64
      child 4, n_experts: int64
stats: struct<pos: int64, neg: int64>
  child 0, pos: int64
  child 1, neg: int64
to
{'n_cots': Value('int64'), 'total_triggers': Value('int64'), 'stats': {'pos': Value('int64'), 'neg': Value('int64')}, 'per_layer_sizes': {'8': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': Value('int64')}, '10': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': Value('int64')}, '12': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': Value('int64')}, '14': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': Value('int64')}, '16': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': Value('int64')}, '18': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': Value('int64')}, '20': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': Value('int64')}, '22': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': Value('int64')}, '24': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': Value('int64')}, '26': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': Value('int64')}, '28': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': Value('int64')}, '30': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': Value('int64')}, '32': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': Value('int64')}, '34': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': Value('int64')}, '36': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': Value('int64')}, '38': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': Value('int64')}, '40': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': Value('int64')}, '42': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': Value('int64')}, '44': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': 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 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 299, 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 128, 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 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              n_test: int64
              gen_max: int64
              active_threshold: int64
              samples: list<item: struct<prompt: string, behavior_count: int64, baseline_text: string, problem: string>>
                child 0, item: struct<prompt: string, behavior_count: int64, baseline_text: string, problem: string>
                    child 0, prompt: string
                    child 1, behavior_count: int64
                    child 2, baseline_text: string
                    child 3, problem: string
              n_cots: int64
              total_triggers: int64
              per_layer_sizes: struct<8: struct<n: int64, h: int64, n_pos: int64, n_neg: int64, n_experts: int64>, 10: struct<n: in (... 1387 chars omitted)
                child 0, 8: struct<n: int64, h: int64, n_pos: int64, n_neg: int64, n_experts: int64>
                    child 0, n: int64
                    child 1, h: int64
                    child 2, n_pos: int64
                    child 3, n_neg: int64
                    child 4, n_experts: int64
                child 1, 10: struct<n: int64, h: int64, n_pos: int64, n_neg: int64, n_experts: int64>
                    child 0, n: int64
                    child 1, h: int64
                    child 2, n_pos: int64
                    child 3, n_neg: int64
                    child 4, n_experts: int64
                child 2, 12: struct<n: int64, h: int64, n_pos: int64, n_neg: int64, n_experts: int64>
                    child 0, n: int64
                    child 1, h: int64
                    child 2, n_pos: int64
                    child 3, n_neg: int64
                    child 4, n_experts: int64
                child 3, 14: struct<n: int64, h: int64, n_pos: int64, n_neg: int64, n_experts: int64>
                    child 0, n: int64
                    child 1, h: int64
                    child 2, n_pos: int64
                    child 3, n_neg: int64
                    child 4, n_experts: int64
                child 4, 16: struct<n: int
              ...
              s: int64
                    child 3, n_neg: int64
                    child 4, n_experts: int64
                child 13, 34: struct<n: int64, h: int64, n_pos: int64, n_neg: int64, n_experts: int64>
                    child 0, n: int64
                    child 1, h: int64
                    child 2, n_pos: int64
                    child 3, n_neg: int64
                    child 4, n_experts: int64
                child 14, 36: struct<n: int64, h: int64, n_pos: int64, n_neg: int64, n_experts: int64>
                    child 0, n: int64
                    child 1, h: int64
                    child 2, n_pos: int64
                    child 3, n_neg: int64
                    child 4, n_experts: int64
                child 15, 38: struct<n: int64, h: int64, n_pos: int64, n_neg: int64, n_experts: int64>
                    child 0, n: int64
                    child 1, h: int64
                    child 2, n_pos: int64
                    child 3, n_neg: int64
                    child 4, n_experts: int64
                child 16, 40: struct<n: int64, h: int64, n_pos: int64, n_neg: int64, n_experts: int64>
                    child 0, n: int64
                    child 1, h: int64
                    child 2, n_pos: int64
                    child 3, n_neg: int64
                    child 4, n_experts: int64
                child 17, 42: struct<n: int64, h: int64, n_pos: int64, n_neg: int64, n_experts: int64>
                    child 0, n: int64
                    child 1, h: int64
                    child 2, n_pos: int64
                    child 3, n_neg: int64
                    child 4, n_experts: int64
                child 18, 44: struct<n: int64, h: int64, n_pos: int64, n_neg: int64, n_experts: int64>
                    child 0, n: int64
                    child 1, h: int64
                    child 2, n_pos: int64
                    child 3, n_neg: int64
                    child 4, n_experts: int64
              stats: struct<pos: int64, neg: int64>
                child 0, pos: int64
                child 1, neg: int64
              to
              {'n_cots': Value('int64'), 'total_triggers': Value('int64'), 'stats': {'pos': Value('int64'), 'neg': Value('int64')}, 'per_layer_sizes': {'8': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': Value('int64')}, '10': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': Value('int64')}, '12': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': Value('int64')}, '14': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': Value('int64')}, '16': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': Value('int64')}, '18': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': Value('int64')}, '20': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': Value('int64')}, '22': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': Value('int64')}, '24': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': Value('int64')}, '26': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': Value('int64')}, '28': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': Value('int64')}, '30': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': Value('int64')}, '32': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': Value('int64')}, '34': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': Value('int64')}, '36': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': Value('int64')}, '38': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': Value('int64')}, '40': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': Value('int64')}, '42': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': Value('int64')}, '44': {'n': Value('int64'), 'h': Value('int64'), 'n_pos': Value('int64'), 'n_neg': Value('int64'), 'n_experts': Value('int64')}}}
              because column names don't match

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