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omai-research

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milco-650m-browsecomp-encoded

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Omai 4

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
id: string
vector: struct<e_celebrity: double, e_##yp: double, e_twin: double, e_siblings: double, e_f: double, e_twins (... 347176 chars omitted)
  child 0, e_celebrity: double
  child 1, e_##yp: double
  child 2, e_twin: double
  child 3, e_siblings: double
  child 4, e_f: double
  child 5, e_twins: double
  child 6, e_hollywood: double
  child 7, e_##holder: double
  child 8, e_celebrities: double
  child 9, e_bc: double
  child 10, e_like: double
  child 11, e_look: double
  child 12, e_many: double
  child 13, e_##ax: double
  child 14, e_no: double
  child 15, e_viral: double
  child 16, e_#: double
  child 17, e_##ype: double
  child 18, e_sisters: double
  child 19, e_brothers: double
  child 20, e_trend: double
  child 21, e_just: double
  child 22, e_actor: double
  child 23, e_seven: double
  child 24, e_7: double
  child 25, e_actors: double
  child 26, e_hash: double
  child 27, e_actress: double
  child 28, e_famous: double
  child 29, e_sibling: double
  child 30, e_mimic: double
  child 31, e_##z: double
  child 32, e_beauty: double
  child 33, e_appearance: double
  child 34, e_##py: double
  child 35, e_looking: double
  child 36, e_##y: double
  child 37, e_ph: double
  child 38, e_she: double
  child 39, e_similar: double
  child 40, e_family: double
  child 41, e_is: double
  child 42, e_double: double
  child 43, e_brother: double
  child 44, e_sister: double
  child 45, e_movie: double
  child 46, e_phi: double
  child 47, e_this: double
  child 48, e_p
...
e
  child 18774, e_affecting: double
  child 18775, e_##eto: double
  child 18776, e_bibliography: double
  child 18777, e_stems: double
  child 18778, e_handles: double
  child 18779, e_##rco: double
  child 18780, e_letterman: double
  child 18781, e_marvin: double
  child 18782, e_aids: double
  child 18783, e_ono: double
  child 18784, e_tap: double
  child 18785, e_parasites: double
  child 18786, e_parasitic: double
  child 18787, e_jc: double
  child 18788, e_##ppy: double
  child 18789, e_koreans: double
  child 18790, e_theta: double
  child 18791, e_##jong: double
  child 18792, e_framed: double
  child 18793, e_hangul: double
  child 18794, e_##eter: double
  child 18795, e_##rent: double
  child 18796, e_cid: double
  child 18797, e_tuned: double
  child 18798, e_collateral: double
  child 18799, e_##itated: double
  child 18800, e_cargo: double
  child 18801, e_corridors: double
  child 18802, e_imprisonment: double
  child 18803, e_copying: double
  child 18804, e_instrumental: double
  child 18805, e_encoded: double
  child 18806, e_repetition: double
  child 18807, e_parole: double
  child 18808, e_##hing: double
  child 18809, e_bonn: double
  child 18810, e_ticking: double
  child 18811, e_doubling: double
  child 18812, e_##nare: double
  child 18813, e_canal: double
max_length: int64
dataset_split: string
batch_size: int64
en_vocab_size: int64
num_shards: int64
dataset_name: string
pooling: string
model_name: string
m_vocab_size: int64
dataset_config: null
to
{'model_name': Value('string'), 'dataset_name': Value('string'), 'dataset_config': Value('null'), 'dataset_split': Value('string'), 'num_shards': Value('int64'), 'en_vocab_size': Value('int64'), 'm_vocab_size': Value('int64'), 'pooling': Value('string'), 'max_length': Value('int64'), 'batch_size': 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
              id: string
              vector: struct<e_celebrity: double, e_##yp: double, e_twin: double, e_siblings: double, e_f: double, e_twins (... 347176 chars omitted)
                child 0, e_celebrity: double
                child 1, e_##yp: double
                child 2, e_twin: double
                child 3, e_siblings: double
                child 4, e_f: double
                child 5, e_twins: double
                child 6, e_hollywood: double
                child 7, e_##holder: double
                child 8, e_celebrities: double
                child 9, e_bc: double
                child 10, e_like: double
                child 11, e_look: double
                child 12, e_many: double
                child 13, e_##ax: double
                child 14, e_no: double
                child 15, e_viral: double
                child 16, e_#: double
                child 17, e_##ype: double
                child 18, e_sisters: double
                child 19, e_brothers: double
                child 20, e_trend: double
                child 21, e_just: double
                child 22, e_actor: double
                child 23, e_seven: double
                child 24, e_7: double
                child 25, e_actors: double
                child 26, e_hash: double
                child 27, e_actress: double
                child 28, e_famous: double
                child 29, e_sibling: double
                child 30, e_mimic: double
                child 31, e_##z: double
                child 32, e_beauty: double
                child 33, e_appearance: double
                child 34, e_##py: double
                child 35, e_looking: double
                child 36, e_##y: double
                child 37, e_ph: double
                child 38, e_she: double
                child 39, e_similar: double
                child 40, e_family: double
                child 41, e_is: double
                child 42, e_double: double
                child 43, e_brother: double
                child 44, e_sister: double
                child 45, e_movie: double
                child 46, e_phi: double
                child 47, e_this: double
                child 48, e_p
              ...
              e
                child 18774, e_affecting: double
                child 18775, e_##eto: double
                child 18776, e_bibliography: double
                child 18777, e_stems: double
                child 18778, e_handles: double
                child 18779, e_##rco: double
                child 18780, e_letterman: double
                child 18781, e_marvin: double
                child 18782, e_aids: double
                child 18783, e_ono: double
                child 18784, e_tap: double
                child 18785, e_parasites: double
                child 18786, e_parasitic: double
                child 18787, e_jc: double
                child 18788, e_##ppy: double
                child 18789, e_koreans: double
                child 18790, e_theta: double
                child 18791, e_##jong: double
                child 18792, e_framed: double
                child 18793, e_hangul: double
                child 18794, e_##eter: double
                child 18795, e_##rent: double
                child 18796, e_cid: double
                child 18797, e_tuned: double
                child 18798, e_collateral: double
                child 18799, e_##itated: double
                child 18800, e_cargo: double
                child 18801, e_corridors: double
                child 18802, e_imprisonment: double
                child 18803, e_copying: double
                child 18804, e_instrumental: double
                child 18805, e_encoded: double
                child 18806, e_repetition: double
                child 18807, e_parole: double
                child 18808, e_##hing: double
                child 18809, e_bonn: double
                child 18810, e_ticking: double
                child 18811, e_doubling: double
                child 18812, e_##nare: double
                child 18813, e_canal: double
              max_length: int64
              dataset_split: string
              batch_size: int64
              en_vocab_size: int64
              num_shards: int64
              dataset_name: string
              pooling: string
              model_name: string
              m_vocab_size: int64
              dataset_config: null
              to
              {'model_name': Value('string'), 'dataset_name': Value('string'), 'dataset_config': Value('null'), 'dataset_split': Value('string'), 'num_shards': Value('int64'), 'en_vocab_size': Value('int64'), 'm_vocab_size': Value('int64'), 'pooling': Value('string'), 'max_length': Value('int64'), 'batch_size': Value('int64')}
              because column names don't match