Datasets:

---

kokodak

/

layer2-results

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
model_id: string
video_prompts_json: string
video_qa_json: string
video_root: string
results_dir: string
condition: string
fps: double
max_pixels: int64
max_new_tokens: int64
limit: null
flash_attn: bool
upload: bool
hf_repo_id: string
hf_path_in_repo: string
expected_answer: string
video_id: string
video_path: string
error: null
peak_vram_gb: double
is_exact_match: bool
output_tokens: int64
input_tokens: int64
elapsed_sec: double
raw_response: string
normalized_expected_answer: string
is_contains_match: bool
normalized_response: string
total_tokens: int64
to
{'video_id': Value('string'), 'video_path': Value('string'), 'raw_response': Value('string'), 'normalized_response': Value('string'), 'expected_answer': Value('string'), 'normalized_expected_answer': Value('string'), 'is_exact_match': Value('bool'), 'is_contains_match': Value('bool'), 'input_tokens': Value('int64'), 'output_tokens': Value('int64'), 'total_tokens': Value('int64'), 'elapsed_sec': Value('float64'), 'peak_vram_gb': Value('float64'), 'fps': Value('float64'), 'max_pixels': Value('int64'), 'max_new_tokens': Value('int64'), 'model_id': Value('string'), 'condition': Value('string'), 'error': Value('null')}
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
              model_id: string
              video_prompts_json: string
              video_qa_json: string
              video_root: string
              results_dir: string
              condition: string
              fps: double
              max_pixels: int64
              max_new_tokens: int64
              limit: null
              flash_attn: bool
              upload: bool
              hf_repo_id: string
              hf_path_in_repo: string
              expected_answer: string
              video_id: string
              video_path: string
              error: null
              peak_vram_gb: double
              is_exact_match: bool
              output_tokens: int64
              input_tokens: int64
              elapsed_sec: double
              raw_response: string
              normalized_expected_answer: string
              is_contains_match: bool
              normalized_response: string
              total_tokens: int64
              to
              {'video_id': Value('string'), 'video_path': Value('string'), 'raw_response': Value('string'), 'normalized_response': Value('string'), 'expected_answer': Value('string'), 'normalized_expected_answer': Value('string'), 'is_exact_match': Value('bool'), 'is_contains_match': Value('bool'), 'input_tokens': Value('int64'), 'output_tokens': Value('int64'), 'total_tokens': Value('int64'), 'elapsed_sec': Value('float64'), 'peak_vram_gb': Value('float64'), 'fps': Value('float64'), 'max_pixels': Value('int64'), 'max_new_tokens': Value('int64'), 'model_id': Value('string'), 'condition': Value('string'), 'error': Value('null')}
              because column names don't match