Datasets:

---

RuchitRawal

/

baseline-evals

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
id: string
image: string
prompt: string
prompt_index: int64
sample_index: int64
skills: list<item: string>
  child 0, item: string
vqascore: double
resolution: int64
dpg_score: double
run_dir: string
label: string
reference: string
per_category_detailed: struct<attribute - color: double, attribute - other: double, attribute - shape: double, attribute -  (... 236 chars omitted)
  child 0, attribute - color: double
  child 1, attribute - other: double
  child 2, attribute - shape: double
  child 3, attribute - size: double
  child 4, attribute - texture: double
  child 5, entity - part: double
  child 6, entity - state: double
  child 7, entity - whole: double
  child 8, global -: double
  child 9, other - count: double
  child 10, other - text: double
  child 11, relation - non-spatial: double
  child 12, relation - spatial: double
per_category_broad: struct<entity: double, attribute: double, relation: double, global: double, other: double>
  child 0, entity: double
  child 1, attribute: double
  child 2, relation: double
  child 3, global: double
  child 4, other: double
failed_items: list<item: string>
  child 0, item: string
model_revision: string
n_questions_per_category_detailed: struct<attribute - color: int64, attribute - other: int64, attribute - shape: int64, attribute - siz (... 223 chars omitted)
  child 0, attribute - color: int64
  child 1, attribute - other: int64
  child 2, attribute - shape: int64
  child 3, attribute - size: int64
  child 4, attribute - texture: int64
  child 5, entity - part: int64
  child 6, entity - state: int64
  child 7, entity - whole: int64
  child 8, global -: int64
  child 9, other - count: int64
  child 10, other - text: int64
  child 11, relation - non-spatial: int64
  child 12, relation - spatial: int64
protocol: string
pic_num: int64
n_failed: int64
n_items: int64
nshards: int64
model: string
to
{'dpg_score': Value('float64'), 'per_category_broad': {'entity': Value('float64'), 'attribute': Value('float64'), 'relation': Value('float64'), 'global': Value('float64'), 'other': Value('float64')}, 'per_category_detailed': {'attribute - color': Value('float64'), 'attribute - other': Value('float64'), 'attribute - shape': Value('float64'), 'attribute - size': Value('float64'), 'attribute - texture': Value('float64'), 'entity - part': Value('float64'), 'entity - state': Value('float64'), 'entity - whole': Value('float64'), 'global -': Value('float64'), 'other - count': Value('float64'), 'other - text': Value('float64'), 'relation - non-spatial': Value('float64'), 'relation - spatial': Value('float64')}, 'n_items': Value('int64'), 'n_failed': Value('int64'), 'failed_items': List(Value('string')), 'n_questions_per_category_detailed': {'attribute - color': Value('int64'), 'attribute - other': Value('int64'), 'attribute - shape': Value('int64'), 'attribute - size': Value('int64'), 'attribute - texture': Value('int64'), 'entity - part': Value('int64'), 'entity - state': Value('int64'), 'entity - whole': Value('int64'), 'global -': Value('int64'), 'other - count': Value('int64'), 'other - text': Value('int64'), 'relation - non-spatial': Value('int64'), 'relation - spatial': Value('int64')}, 'resolution': Value('int64'), 'pic_num': Value('int64'), 'nshards': Value('int64'), 'label': Value('string'), 'run_dir': Value('string'), 'model': Value('string'), 'model_revision': Value('string'), 'protocol': Value('string'), 'reference': Value('string')}
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 483, 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 2951, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 547, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              id: string
              image: string
              prompt: string
              prompt_index: int64
              sample_index: int64
              skills: list<item: string>
                child 0, item: string
              vqascore: double
              resolution: int64
              dpg_score: double
              run_dir: string
              label: string
              reference: string
              per_category_detailed: struct<attribute - color: double, attribute - other: double, attribute - shape: double, attribute -  (... 236 chars omitted)
                child 0, attribute - color: double
                child 1, attribute - other: double
                child 2, attribute - shape: double
                child 3, attribute - size: double
                child 4, attribute - texture: double
                child 5, entity - part: double
                child 6, entity - state: double
                child 7, entity - whole: double
                child 8, global -: double
                child 9, other - count: double
                child 10, other - text: double
                child 11, relation - non-spatial: double
                child 12, relation - spatial: double
              per_category_broad: struct<entity: double, attribute: double, relation: double, global: double, other: double>
                child 0, entity: double
                child 1, attribute: double
                child 2, relation: double
                child 3, global: double
                child 4, other: double
              failed_items: list<item: string>
                child 0, item: string
              model_revision: string
              n_questions_per_category_detailed: struct<attribute - color: int64, attribute - other: int64, attribute - shape: int64, attribute - siz (... 223 chars omitted)
                child 0, attribute - color: int64
                child 1, attribute - other: int64
                child 2, attribute - shape: int64
                child 3, attribute - size: int64
                child 4, attribute - texture: int64
                child 5, entity - part: int64
                child 6, entity - state: int64
                child 7, entity - whole: int64
                child 8, global -: int64
                child 9, other - count: int64
                child 10, other - text: int64
                child 11, relation - non-spatial: int64
                child 12, relation - spatial: int64
              protocol: string
              pic_num: int64
              n_failed: int64
              n_items: int64
              nshards: int64
              model: string
              to
              {'dpg_score': Value('float64'), 'per_category_broad': {'entity': Value('float64'), 'attribute': Value('float64'), 'relation': Value('float64'), 'global': Value('float64'), 'other': Value('float64')}, 'per_category_detailed': {'attribute - color': Value('float64'), 'attribute - other': Value('float64'), 'attribute - shape': Value('float64'), 'attribute - size': Value('float64'), 'attribute - texture': Value('float64'), 'entity - part': Value('float64'), 'entity - state': Value('float64'), 'entity - whole': Value('float64'), 'global -': Value('float64'), 'other - count': Value('float64'), 'other - text': Value('float64'), 'relation - non-spatial': Value('float64'), 'relation - spatial': Value('float64')}, 'n_items': Value('int64'), 'n_failed': Value('int64'), 'failed_items': List(Value('string')), 'n_questions_per_category_detailed': {'attribute - color': Value('int64'), 'attribute - other': Value('int64'), 'attribute - shape': Value('int64'), 'attribute - size': Value('int64'), 'attribute - texture': Value('int64'), 'entity - part': Value('int64'), 'entity - state': Value('int64'), 'entity - whole': Value('int64'), 'global -': Value('int64'), 'other - count': Value('int64'), 'other - text': Value('int64'), 'relation - non-spatial': Value('int64'), 'relation - spatial': Value('int64')}, 'resolution': Value('int64'), 'pic_num': Value('int64'), 'nshards': Value('int64'), 'label': Value('string'), 'run_dir': Value('string'), 'model': Value('string'), 'model_revision': Value('string'), 'protocol': Value('string'), 'reference': Value('string')}
              because column names don't match