Dataset Viewer
Duplicate
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
run_id: string
benchmark: string
set: string
payload_sha256: string
image_sha256: list<item: string>
  child 0, item: string
started_utc: string
engine: string
status: string
response: struct<model: string, answers: struct<answer: struct<type: string, choice: string, probabilities: st (... 153 chars omitted)
  child 0, model: string
  child 1, answers: struct<answer: struct<type: string, choice: string, probabilities: struct<A: double, B: double, C: d (... 85 chars omitted)
      child 0, answer: struct<type: string, choice: string, probabilities: struct<A: double, B: double, C: double, D: doubl (... 69 chars omitted)
          child 0, type: string
          child 1, choice: string
          child 2, probabilities: struct<A: double, B: double, C: double, D: double, E: double, F: double, G: double, H: double, I: do (... 16 chars omitted)
              child 0, A: double
              child 1, B: double
              child 2, C: double
              child 3, D: double
              child 4, E: double
              child 5, F: double
              child 6, G: double
              child 7, H: double
              child 8, I: double
              child 9, J: double
  child 2, usage: struct<input_tokens: int64>
      child 0, input_tokens: int64
raw_output: struct<id: string, model: string, answers: struct<answer: struct<type: string, choice: string, proba (... 240 chars omitted)
  child 0, id: string
  child 1, model: string
  child 2, answers: struct<answer: struct<type: string,
...
, G: string, H: string, I: st (... 16 chars omitted)
              child 0, A: string
              child 1, B: string
              child 2, C: string
              child 3, D: string
              child 4, E: string
              child 5, F: string
              child 6, G: string
              child 7, H: string
              child 8, I: string
              child 9, J: string
  child 2, images: list<item: string>
      child 0, item: string
  child 3, prompt: struct<options_in_image: bool, readout: string>
      child 0, options_in_image: bool
      child 1, readout: string
completed_utc: string
total_wall_ms: double
model_request_wall_ms: double
rows_path: string
latency: string
engine_options: struct<base_url: string, model: string>
  child 0, base_url: string
  child 1, model: string
rows_sha256: string
loaded_seconds: double
effective_image_budget: struct<max_image_pixels: int64, max_image_tokens: null, rows_with_image_tokens: int64>
  child 0, max_image_pixels: int64
  child 1, max_image_tokens: null
  child 2, rows_with_image_tokens: int64
model_source: struct<kind: string, base_url: string, path: string, protocol: string, model: string, image_encoding (... 102 chars omitted)
  child 0, kind: string
  child 1, base_url: string
  child 2, path: string
  child 3, protocol: string
  child 4, model: string
  child 5, image_encoding: string
  child 6, max_pixels: int64
  child 7, image_resize: string
  child 8, request_options: struct<>
  child 9, image_placement: string
to
{'engine': Value('string'), 'engine_options': {'base_url': Value('string'), 'model': Value('string')}, 'model_source': {'kind': Value('string'), 'base_url': Value('string'), 'path': Value('string'), 'protocol': Value('string'), 'model': Value('string'), 'image_encoding': Value('string'), 'max_pixels': Value('int64'), 'image_resize': Value('string'), 'request_options': {}, 'image_placement': Value('string')}, 'loaded_seconds': Value('float64'), 'rows_path': Value('string'), 'rows_sha256': Value('string'), 'latency': Value('string'), 'effective_image_budget': {'max_image_pixels': Value('int64'), 'max_image_tokens': Value('null'), 'rows_with_image_tokens': Value('int64')}}
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
              run_id: string
              benchmark: string
              set: string
              payload_sha256: string
              image_sha256: list<item: string>
                child 0, item: string
              started_utc: string
              engine: string
              status: string
              response: struct<model: string, answers: struct<answer: struct<type: string, choice: string, probabilities: st (... 153 chars omitted)
                child 0, model: string
                child 1, answers: struct<answer: struct<type: string, choice: string, probabilities: struct<A: double, B: double, C: d (... 85 chars omitted)
                    child 0, answer: struct<type: string, choice: string, probabilities: struct<A: double, B: double, C: double, D: doubl (... 69 chars omitted)
                        child 0, type: string
                        child 1, choice: string
                        child 2, probabilities: struct<A: double, B: double, C: double, D: double, E: double, F: double, G: double, H: double, I: do (... 16 chars omitted)
                            child 0, A: double
                            child 1, B: double
                            child 2, C: double
                            child 3, D: double
                            child 4, E: double
                            child 5, F: double
                            child 6, G: double
                            child 7, H: double
                            child 8, I: double
                            child 9, J: double
                child 2, usage: struct<input_tokens: int64>
                    child 0, input_tokens: int64
              raw_output: struct<id: string, model: string, answers: struct<answer: struct<type: string, choice: string, proba (... 240 chars omitted)
                child 0, id: string
                child 1, model: string
                child 2, answers: struct<answer: struct<type: string,
              ...
              , G: string, H: string, I: st (... 16 chars omitted)
                            child 0, A: string
                            child 1, B: string
                            child 2, C: string
                            child 3, D: string
                            child 4, E: string
                            child 5, F: string
                            child 6, G: string
                            child 7, H: string
                            child 8, I: string
                            child 9, J: string
                child 2, images: list<item: string>
                    child 0, item: string
                child 3, prompt: struct<options_in_image: bool, readout: string>
                    child 0, options_in_image: bool
                    child 1, readout: string
              completed_utc: string
              total_wall_ms: double
              model_request_wall_ms: double
              rows_path: string
              latency: string
              engine_options: struct<base_url: string, model: string>
                child 0, base_url: string
                child 1, model: string
              rows_sha256: string
              loaded_seconds: double
              effective_image_budget: struct<max_image_pixels: int64, max_image_tokens: null, rows_with_image_tokens: int64>
                child 0, max_image_pixels: int64
                child 1, max_image_tokens: null
                child 2, rows_with_image_tokens: int64
              model_source: struct<kind: string, base_url: string, path: string, protocol: string, model: string, image_encoding (... 102 chars omitted)
                child 0, kind: string
                child 1, base_url: string
                child 2, path: string
                child 3, protocol: string
                child 4, model: string
                child 5, image_encoding: string
                child 6, max_pixels: int64
                child 7, image_resize: string
                child 8, request_options: struct<>
                child 9, image_placement: string
              to
              {'engine': Value('string'), 'engine_options': {'base_url': Value('string'), 'model': Value('string')}, 'model_source': {'kind': Value('string'), 'base_url': Value('string'), 'path': Value('string'), 'protocol': Value('string'), 'model': Value('string'), 'image_encoding': Value('string'), 'max_pixels': Value('int64'), 'image_resize': Value('string'), 'request_options': {}, 'image_placement': Value('string')}, 'loaded_seconds': Value('float64'), 'rows_path': Value('string'), 'rows_sha256': Value('string'), 'latency': Value('string'), 'effective_image_budget': {'max_image_pixels': Value('int64'), 'max_image_tokens': Value('null'), 'rows_with_image_tokens': Value('int64')}}
              because column names don't match

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

No dataset card yet

Downloads last month
19