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
session_id: string
tier: string
task_instruction: string
source: string
grounded_in: string
steps: list<item: struct<step_index: int64, observation: struct<text: string, image_path: null, audio_path: (... 94 chars omitted)
  child 0, item: struct<step_index: int64, observation: struct<text: string, image_path: null, audio_path: null>, rea (... 82 chars omitted)
      child 0, step_index: int64
      child 1, observation: struct<text: string, image_path: null, audio_path: null>
          child 0, text: string
          child 1, image_path: null
          child 2, audio_path: null
      child 2, reasoning: string
      child 3, action: struct<type: string, value: string>
          child 0, type: string
          child 1, value: string
      child 4, refers_back_to: null
task_complexity: string
language: string
license: string
date_created: timestamp[s]
_structural_pass: bool
_structural_reason: string
shard_count: int64
accepted_hashes: list<item: list<item: int64>>
  child 0, item: list<item: int64>
      child 0, item: int64
val_shard_index: int64
gen_seed_index: int64
stats: struct<generated: int64, validated_pass: int64, validated_fail: int64, dedup_removed: int64>
  child 0, generated: int64
  child 1, validated_pass: int64
  child 2, validated_fail: int64
  child 3, dedup_removed: int64
to
{'gen_seed_index': Value('int64'), 'val_shard_index': Value('int64'), 'shard_count': Value('int64'), 'accepted_hashes': List(List(Value('int64'))), 'stats': {'generated': Value('int64'), 'validated_pass': Value('int64'), 'validated_fail': Value('int64'), 'dedup_removed': Value('int64')}}
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
              session_id: string
              tier: string
              task_instruction: string
              source: string
              grounded_in: string
              steps: list<item: struct<step_index: int64, observation: struct<text: string, image_path: null, audio_path: (... 94 chars omitted)
                child 0, item: struct<step_index: int64, observation: struct<text: string, image_path: null, audio_path: null>, rea (... 82 chars omitted)
                    child 0, step_index: int64
                    child 1, observation: struct<text: string, image_path: null, audio_path: null>
                        child 0, text: string
                        child 1, image_path: null
                        child 2, audio_path: null
                    child 2, reasoning: string
                    child 3, action: struct<type: string, value: string>
                        child 0, type: string
                        child 1, value: string
                    child 4, refers_back_to: null
              task_complexity: string
              language: string
              license: string
              date_created: timestamp[s]
              _structural_pass: bool
              _structural_reason: string
              shard_count: int64
              accepted_hashes: list<item: list<item: int64>>
                child 0, item: list<item: int64>
                    child 0, item: int64
              val_shard_index: int64
              gen_seed_index: int64
              stats: struct<generated: int64, validated_pass: int64, validated_fail: int64, dedup_removed: int64>
                child 0, generated: int64
                child 1, validated_pass: int64
                child 2, validated_fail: int64
                child 3, dedup_removed: int64
              to
              {'gen_seed_index': Value('int64'), 'val_shard_index': Value('int64'), 'shard_count': Value('int64'), 'accepted_hashes': List(List(Value('int64'))), 'stats': {'generated': Value('int64'), 'validated_pass': Value('int64'), 'validated_fail': Value('int64'), 'dedup_removed': 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
14