Datasets:

---

fatlonder

/

aiwm_data

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
revised_caption: string
scene_analysis: string
steps: list<item: struct<concept: string, phrase: string, depth: double, physics_notes: string, dependencie (... 95 chars omitted)
  child 0, item: struct<concept: string, phrase: string, depth: double, physics_notes: string, dependencies: list<ite (... 83 chars omitted)
      child 0, concept: string
      child 1, phrase: string
      child 2, depth: double
      child 3, physics_notes: string
      child 4, dependencies: list<item: int64>
          child 0, item: int64
      child 5, phases: list<item: struct<role: string, alpha: double, reason: string>>
          child 0, item: struct<role: string, alpha: double, reason: string>
              child 0, role: string
              child 1, alpha: double
              child 2, reason: string
processed_count: int64
model: string
max_images: int64
data_dir: string
reason: string
skipped: int64
shard_index: int64
start_index: int64
failed: int64
checkpoint_include_raw: bool
created_utc: string
success: int64
shard_count: int64
selected_count: int64
to
{'created_utc': Value('string'), 'reason': Value('string'), 'model': Value('string'), 'data_dir': Value('string'), 'selected_count': Value('int64'), 'processed_count': Value('int64'), 'success': Value('int64'), 'skipped': Value('int64'), 'failed': Value('int64'), 'shard_index': Value('int64'), 'shard_count': Value('int64'), 'start_index': Value('int64'), 'max_images': Value('int64'), 'checkpoint_include_raw': 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 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
              revised_caption: string
              scene_analysis: string
              steps: list<item: struct<concept: string, phrase: string, depth: double, physics_notes: string, dependencie (... 95 chars omitted)
                child 0, item: struct<concept: string, phrase: string, depth: double, physics_notes: string, dependencies: list<ite (... 83 chars omitted)
                    child 0, concept: string
                    child 1, phrase: string
                    child 2, depth: double
                    child 3, physics_notes: string
                    child 4, dependencies: list<item: int64>
                        child 0, item: int64
                    child 5, phases: list<item: struct<role: string, alpha: double, reason: string>>
                        child 0, item: struct<role: string, alpha: double, reason: string>
                            child 0, role: string
                            child 1, alpha: double
                            child 2, reason: string
              processed_count: int64
              model: string
              max_images: int64
              data_dir: string
              reason: string
              skipped: int64
              shard_index: int64
              start_index: int64
              failed: int64
              checkpoint_include_raw: bool
              created_utc: string
              success: int64
              shard_count: int64
              selected_count: int64
              to
              {'created_utc': Value('string'), 'reason': Value('string'), 'model': Value('string'), 'data_dir': Value('string'), 'selected_count': Value('int64'), 'processed_count': Value('int64'), 'success': Value('int64'), 'skipped': Value('int64'), 'failed': Value('int64'), 'shard_index': Value('int64'), 'shard_count': Value('int64'), 'start_index': Value('int64'), 'max_images': Value('int64'), 'checkpoint_include_raw': Value('bool')}
              because column names don't match