Datasets:

---

purefall

/

shotpath-sft-eval-balanced-20260705

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
pair_id: string
scene_group: string
source_dataset: string
pre_image: string
post_image: string
origin: string
changed_items: list<item: struct<dimension: string, problem: string, action: string, confidence: string, action_buc (... 26 chars omitted)
  child 0, item: struct<dimension: string, problem: string, action: string, confidence: string, action_buckets: list< (... 14 chars omitted)
      child 0, dimension: string
      child 1, problem: string
      child 2, action: string
      child 3, confidence: string
      child 4, action_buckets: list<item: string>
          child 0, item: string
dimensions: list<item: string>
  child 0, item: string
action_buckets: list<item: string>
  child 0, item: string
raw_row: struct<teacher_key: string, pair_id: string, split: string, scene_group: string, source_dataset: str (... 1996 chars omitted)
  child 0, teacher_key: string
  child 1, pair_id: string
  child 2, split: string
  child 3, scene_group: string
  child 4, source_dataset: string
  child 5, dataset_role: string
  child 6, has_problem_action_gt: bool
  child 7, pre_image: string
  child 8, post_image: string
  child 9, model: string
  child 10, schema_version: string
  child 11, response_text: string
  child 12, response_json: struct<items: list<item: struct<dimension: string, status: string, problem: string, action: string,  (... 46 chars omitted)
      child 0, items: list<item: struct<dimension: string, status: string, problem: string, action: string, visual_evidenc (...
...
ns: int64
          child 1, audio_tokens: int64
      child 4, completion_tokens_details: struct<reasoning_tokens: int64, audio_tokens: int64, accepted_prediction_tokens: int64, rejected_pre (... 22 chars omitted)
          child 0, reasoning_tokens: int64
          child 1, audio_tokens: int64
          child 2, accepted_prediction_tokens: int64
          child 3, rejected_prediction_tokens: int64
      child 5, latency_checkpoint: struct<engine_tbt_ms: int64, engine_ttft_ms: int64, engine_ttlt_ms: int64, pre_inference_ms: int64,  (... 125 chars omitted)
          child 0, engine_tbt_ms: int64
          child 1, engine_ttft_ms: int64
          child 2, engine_ttlt_ms: int64
          child 3, pre_inference_ms: int64
          child 4, service_tbt_ms: int64
          child 5, service_ttft_ms: int64
          child 6, service_ttlt_ms: int64
          child 7, total_duration_ms: int64
          child 8, user_visible_ttft_ms: int64
  child 37, text_judge: struct<idx: int64, record_id: string, keep: bool, framing_praise_type: string, support_strength: str (... 116 chars omitted)
      child 0, idx: int64
      child 1, record_id: string
      child 2, keep: bool
      child 3, framing_praise_type: string
      child 4, support_strength: string
      child 5, has_framing_contradiction: bool
      child 6, contradiction_evidence: string
      child 7, reason: string
      child 8, clean_support_comment: string
files: list<item: string>
  child 0, item: string
created: timestamp[s]
to
{'files': List(Value('string')), 'created': Value('timestamp[s]')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, 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 127, 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 478, 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
              pre_image: string
              post_image: string
              origin: string
              changed_items: list<item: struct<dimension: string, problem: string, action: string, confidence: string, action_buc (... 26 chars omitted)
                child 0, item: struct<dimension: string, problem: string, action: string, confidence: string, action_buckets: list< (... 14 chars omitted)
                    child 0, dimension: string
                    child 1, problem: string
                    child 2, action: string
                    child 3, confidence: string
                    child 4, action_buckets: list<item: string>
                        child 0, item: string
              dimensions: list<item: string>
                child 0, item: string
              action_buckets: list<item: string>
                child 0, item: string
              raw_row: struct<teacher_key: string, pair_id: string, split: string, scene_group: string, source_dataset: str (... 1996 chars omitted)
                child 0, teacher_key: string
                child 1, pair_id: string
                child 2, split: string
                child 3, scene_group: string
                child 4, source_dataset: string
                child 5, dataset_role: string
                child 6, has_problem_action_gt: bool
                child 7, pre_image: string
                child 8, post_image: string
                child 9, model: string
                child 10, schema_version: string
                child 11, response_text: string
                child 12, response_json: struct<items: list<item: struct<dimension: string, status: string, problem: string, action: string,  (... 46 chars omitted)
                    child 0, items: list<item: struct<dimension: string, status: string, problem: string, action: string, visual_evidenc (...
              ...
              ns: int64
                        child 1, audio_tokens: int64
                    child 4, completion_tokens_details: struct<reasoning_tokens: int64, audio_tokens: int64, accepted_prediction_tokens: int64, rejected_pre (... 22 chars omitted)
                        child 0, reasoning_tokens: int64
                        child 1, audio_tokens: int64
                        child 2, accepted_prediction_tokens: int64
                        child 3, rejected_prediction_tokens: int64
                    child 5, latency_checkpoint: struct<engine_tbt_ms: int64, engine_ttft_ms: int64, engine_ttlt_ms: int64, pre_inference_ms: int64,  (... 125 chars omitted)
                        child 0, engine_tbt_ms: int64
                        child 1, engine_ttft_ms: int64
                        child 2, engine_ttlt_ms: int64
                        child 3, pre_inference_ms: int64
                        child 4, service_tbt_ms: int64
                        child 5, service_ttft_ms: int64
                        child 6, service_ttlt_ms: int64
                        child 7, total_duration_ms: int64
                        child 8, user_visible_ttft_ms: int64
                child 37, text_judge: struct<idx: int64, record_id: string, keep: bool, framing_praise_type: string, support_strength: str (... 116 chars omitted)
                    child 0, idx: int64
                    child 1, record_id: string
                    child 2, keep: bool
                    child 3, framing_praise_type: string
                    child 4, support_strength: string
                    child 5, has_framing_contradiction: bool
                    child 6, contradiction_evidence: string
                    child 7, reason: string
                    child 8, clean_support_comment: string
              files: list<item: string>
                child 0, item: string
              created: timestamp[s]
              to
              {'files': List(Value('string')), 'created': Value('timestamp[s]')}
              because column names don't match