Datasets:

---

purefall

/

shotpath-image-to-delta-ce-v1

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
pair_id: string
scene_group: string
source_dataset: string
candidate: string
raw_output: string
parsed: struct<items: list<item: struct<dimension: string, problem: string, action: string>>>
  child 0, items: list<item: struct<dimension: string, problem: string, action: string>>
      child 0, item: struct<dimension: string, problem: string, action: string>
          child 0, dimension: string
          child 1, problem: string
          child 2, action: string
item_count: int64
pre: string
post: string
judge_model: string
judge: struct<status_code: int64, content: string, json: struct<direction: int64, specificity: int64, actio (... 332 chars omitted)
  child 0, status_code: int64
  child 1, content: string
  child 2, json: struct<direction: int64, specificity: int64, actionability: int64, verdict: string, rationale: strin (... 2 chars omitted)
      child 0, direction: int64
      child 1, specificity: int64
      child 2, actionability: int64
      child 3, verdict: string
      child 4, rationale: string
  child 3, usage: struct<prompt_tokens: int64, completion_tokens: int64, total_tokens: int64, prompt_tokens_details: s (... 146 chars omitted)
      child 0, prompt_tokens: int64
      child 1, completion_tokens: int64
      child 2, total_tokens: int64
      child 3, prompt_tokens_details: struct<cached_tokens: int64, cache_write_tokens: int64, cached_creation_tokens: int64>
          child 0, cached_tokens: int64
          child 1, cache_write_tokens: int64
          child 2, cached_creation_tokens: int64
      child 4, completion_tokens_details: struct<reasoning_tokens: int64>
          child 0, reasoning_tokens: int64
  child 4, model_returned: string
pre_image: string
post_image: string
changed_items: list<item: struct<dimension: string, problem: string, action: string, confidence: double, action_buc (... 26 chars omitted)
  child 0, item: struct<dimension: string, problem: string, action: string, confidence: double, action_buckets: list< (... 14 chars omitted)
      child 0, dimension: string
      child 1, problem: string
      child 2, action: string
      child 3, confidence: double
      child 4, action_buckets: list<item: string>
          child 0, item: string
gt_actions: list<item: string>
  child 0, item: string
gt_dims: list<item: string>
  child 0, item: string
to
{'pair_id': Value('string'), 'scene_group': Value('string'), 'source_dataset': Value('string'), 'pre_image': Value('string'), 'post_image': Value('string'), 'changed_items': List({'dimension': Value('string'), 'problem': Value('string'), 'action': Value('string'), 'confidence': Value('float64'), 'action_buckets': List(Value('string'))}), 'gt_actions': List(Value('string')), 'gt_dims': List(Value('string'))}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                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 129, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 489, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/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/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              pair_id: string
              scene_group: string
              source_dataset: string
              candidate: string
              raw_output: string
              parsed: struct<items: list<item: struct<dimension: string, problem: string, action: string>>>
                child 0, items: list<item: struct<dimension: string, problem: string, action: string>>
                    child 0, item: struct<dimension: string, problem: string, action: string>
                        child 0, dimension: string
                        child 1, problem: string
                        child 2, action: string
              item_count: int64
              pre: string
              post: string
              judge_model: string
              judge: struct<status_code: int64, content: string, json: struct<direction: int64, specificity: int64, actio (... 332 chars omitted)
                child 0, status_code: int64
                child 1, content: string
                child 2, json: struct<direction: int64, specificity: int64, actionability: int64, verdict: string, rationale: strin (... 2 chars omitted)
                    child 0, direction: int64
                    child 1, specificity: int64
                    child 2, actionability: int64
                    child 3, verdict: string
                    child 4, rationale: string
                child 3, usage: struct<prompt_tokens: int64, completion_tokens: int64, total_tokens: int64, prompt_tokens_details: s (... 146 chars omitted)
                    child 0, prompt_tokens: int64
                    child 1, completion_tokens: int64
                    child 2, total_tokens: int64
                    child 3, prompt_tokens_details: struct<cached_tokens: int64, cache_write_tokens: int64, cached_creation_tokens: int64>
                        child 0, cached_tokens: int64
                        child 1, cache_write_tokens: int64
                        child 2, cached_creation_tokens: int64
                    child 4, completion_tokens_details: struct<reasoning_tokens: int64>
                        child 0, reasoning_tokens: int64
                child 4, model_returned: string
              pre_image: string
              post_image: string
              changed_items: list<item: struct<dimension: string, problem: string, action: string, confidence: double, action_buc (... 26 chars omitted)
                child 0, item: struct<dimension: string, problem: string, action: string, confidence: double, action_buckets: list< (... 14 chars omitted)
                    child 0, dimension: string
                    child 1, problem: string
                    child 2, action: string
                    child 3, confidence: double
                    child 4, action_buckets: list<item: string>
                        child 0, item: string
              gt_actions: list<item: string>
                child 0, item: string
              gt_dims: list<item: string>
                child 0, item: string
              to
              {'pair_id': Value('string'), 'scene_group': Value('string'), 'source_dataset': Value('string'), 'pre_image': Value('string'), 'post_image': Value('string'), 'changed_items': List({'dimension': Value('string'), 'problem': Value('string'), 'action': Value('string'), 'confidence': Value('float64'), 'action_buckets': List(Value('string'))}), 'gt_actions': List(Value('string')), 'gt_dims': List(Value('string'))}
              because column names don't match